iCARE Study Analysis Plan Log
The purpose of the iCARE Study Analysis Plan (iSAP) log is to serve as a repository of prospective analyses stemming from the work of the iCARE project’s collaborators. The goal is to encourage sharing and collaboration through a collegial and transparent process.
The iCARE study and the iSAP are managed through the Montréal Behavioural Medicine Centre (MBMC) and submissions to the iSAP are coordinated with the assistance of one of the MBMC’s institutional partners, the International Behavioural Trials Network (IBTN).
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Browse records below, or sort using the Parameters field or the Keywords drop-down menu.
| Unique ID | iCARE-RD-0048 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Rubee |
| Last or family name (Last name) | Dev |
| Email (Enter your email) | rubee@ualberta.ca |
| Other investigators or team members (optional) | Teresa Gisinger, Rubee Dev, Alexander Kautzky, Jürgen Harreiter, Valeria Raparelli, Karolina Kublickiene, Maria Trinidad Herrero, Colleen M. Norris, Louise Pilote, Alexandra Kautzky-Willer |
| Institution | University of Alberta |
| Country (Country) | Canada |
| Analysis Plan Title | Sex and Gender Impact Mental and Emotional Well-Being during COVID-19 |
| Analysis Plan Description | The relationship between the biological sex and emotions and behavior during the pandemic as well as adhering to safety measures will be assessed with a logistic regression model. Next the relationship between gender-related variables and the emotions and mental health will be assessed in the general, female and male cohorts with logistic regressions. The outcomes of interest are the emotions and mental health, more specifically: “feeling nervous, anxious and worried”, feeling sad, depressed and hopeless”, “feeling irritable, frustrated and angry”, “feeling lonely and isolated”, having more physical fights and arguments with family members and working more during the COVID-19 pandemic. For the analyses, we will transform the outcome variables into binominal variables. The response ‘extremely’ and ‘somewhat likely’ where defined as a positive response. ‘Unlikely’ or ‘very unlikely’ will be defined as a negative response concerning the question. Logistic regression models will be computed respectively for every emotion as outcome variable and with main effects of biological sex, educational level, work status, income level and number of children in the household. These models will be adjusted for age. |
| Keyword 1 | COVID-19 |
| Keyword 2 | Mental health |
| Keyword 3 (optional) | Gender medicine |
| Keyword 4 (optional) | Safety measures |
| Convenience data | Convenience data |
| Location data | Global |
| Data Time Frame | Data from specific surveys |
| Data Time Frame – Specific Survey (Convenience) | Survey 1 – March 27 to May 5, 2020, Survey 2 – May 6 to June 7, 2020, Survey 3 – June 8 to July 21, 2020, Survey 4 – July 22 to September 15, 2020, Survey 5 – September 16 to November 1, 2020, Survey 6 – November 2 to December 13, 2020, Survey 7 – December 14, 2020 to February 8, 2021 |
| Target completion date (optional) | 30-12-2022 |
| Entry Date | 11-04-2022 19:57 |
| Unique ID | iCARE-CL-0047 |
| Prefix / Honorific (optional) (Prefix) | Mrs. |
| First or given name (First name) | Camille |
| Last or family name (Last name) | Léger |
| Email (Enter your email) | leger.camille.2@courrier.uqam.ca |
| Institution | UQAM/MBMC |
| Country (Country) | Canada |
| Analysis Plan Title | Motivators for vaccination among Canadian healthcare workers – Canadian representative sample |
| Analysis Plan Description | This study aims to: 1) determine the vaccine hesitancy rate among healthcare workers in Canada; 2) to target the main socio-demographic, psychological, behavioral and economic determinants of vaccine hesitancy among health workers. Cluster-type analysis of vaccine motivators among healthcare workers in Canada IV – vaccine status (non-vaccinated vs vaccinated) IV – vaccine status (non-vaccinated, hesitant, vaccinated)IV – vaccine attitudes (positive, hesitant, resistant) DV – proportion endorsing different motivators – inflvac, inflvade (individual and by group/IV) Canadian representative samples; Canadians aged 18+ years completed the iCARE survey (www.icarestudy.com) using time 6,7 and 8. Descriptive analysis for: age, sex, education, income, location, origin or race, previous vaccination, parental status. |
| Keyword 1 | Vaccine |
| Keyword 2 | Motivators |
| Keyword 3 (optional) | Healthcare workers |
| Keyword 4 (optional) | Canada |
| Representative data | Representative data |
| Target completion date (optional) | 12-01-2022 |
| Entry Date | 12-01-2022 15:40 |
| Unique ID | iCARE-MMD-0046 |
| Prefix / Honorific (optional) (Prefix) | Miss |
| First or given name (First name) | Merveille |
| Middle name or initial (optional) (Middle name) | Moungang |
| Last or family name (Last name) | Djifo |
| Email (Enter your email) | djifo.merveille@yahoo.com |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Investigating the contributing factors and trends in vaccine and booster shot hesitancy. |
| Analysis Plan Description | Despite the urgency of the sanitary situation with the emergence of new variants and cases on the rise, and the importance of getting immunized against Covid-19, there is still a considerable fraction of the Canadian population that is hesitant to being vaccinated. This study will be focused on understanding the contributing factors to vaccine hesitancy and the trends throughout the different phases of the pandemic in the Canadian population (Canadian Representative Sample). Emphasis will also be laid on the booster-shot hesitancy and how this correlates with different socio-demographic, cultural and health-related determinants like origin or race, sex, age , education, occupation, income and previous vaccination. For this purpose data from the different iCARE surveys will be analysed. Understanding the determinants of vaccine and booster shot hesitancy will pave the way for better policy making and putting in place of more adapted health care measures which will play an instrumental role in the fight against Covid-19. |
| Keyword 1 | vaccination |
| Keyword 2 | hesitancy |
| Keyword 3 (optional) | booster shot |
| Representative data | Representative data |
| Entry Date | 17-12-2021 15:03 |
| Unique ID | iCARE-KLL-0045 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Kim |
| Middle name or initial (optional) (Middle name) | Louise |
| Last or family name (Last name) | Lavoie |
| Email (Enter your email) | kiml_lavoie@yahoo.ca |
| Other investigators or team members (optional) | Samir Gupta, Myriam Gagne, Keven Joyal-Demarais, Jovana Stojavovic, Simon Bacon, Kim Corace, Michael Vallis, Sherri Sheinfeld-Gorin, Josh Rash |
| Institution | UQAM/MBMC |
| Country (Country) | Canada |
| Analysis Plan Title | Motivators for vaccination – CAD rep sample |
| Analysis Plan Description | Cluster-type analysis of vaccine motivators
IV – vaccine status (non-vaccinated vs vaccinated) IV – vaccine status (non-vaccinated, hesitant, vaccinated) IV – vaccine attitudes (positive, hesitant, resistant) DV – proportion endorsing different motivators (individual and by group/IV) Subgroup analyses: sex, race/ethnicity, SES/income, parental status, HCW status (Camille) Separate study looking at motives for vaccination among parents (for themselves and for their children under 18) |
| Keyword 1 | Vaccine |
| Keyword 2 | Motivators |
| Keyword 3 (optional) | Canada |
| Keyword 4 (optional) | Parents |
| Keyword 5 (optional) | Sex differences |
| Representative data | Representative data |
| Representative Samples – Choose country | Canada |
| Data Time Frame – Specific Survey (Representative – Canada) | January 27-February 7, 2021, March 11-23, 2021, May 31-June 14, 2021, September 10-20, 2021 |
| Target completion date (optional) | 31-12-2021 |
| Entry Date | 18-11-2021 08:38 |
| Unique ID | iCARE-AA-0044 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Angela |
| Middle name or initial (optional) (Middle name) | S. |
| Last or family name (Last name) | Alberga |
| Email (Enter your email) | angela.alberga@concordia.ca |
| Other investigators or team members (optional) | Dr. Sarah Nutter, University of VictoriaDr. Sara Kirk, Dalhousie UniversityDr. Ximena Ramos-Salas, Obesity CanadaDr. Shelly Russell-Mayhew, University of CalgaryDr. Mary Forhan, University of Toronto |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | How has COVID-19 impacted body weight and weight preoccupation? |
| Analysis Plan Description | We aim to: 1) Examine if respondents have reported changes in body weight during the pandemic; 2) Compare respondents’ concerns regarding body weight/ gaining weight vs. other social and health concerns and worries because of COVID-19 and; 3) Determine if weight concerns differ by sex. We aim to use data from the convenience and representative samples globally to examine these objectives if these concerns have changed over time. |
| Keyword 1 | body weight |
| Keyword 2 | concern |
| Keyword 3 (optional) | weight gain |
| Keyword 4 (optional) | worry |
| Keyword 5 (optional) | weight preoccupation |
| Convenience data | Convenience data |
| Representative data | Representative data |
| Longitudinal data (only available for Canada) | Longitudinal data (only available for Canada) |
| Location data | Global |
| Data Time Frame | Data from specific surveys |
| Data Time Frame – Specific Survey | Survey 7 – December 14, 2020 to February 8, 2021, Survey 8 – February 9 to March 23, 2021, Survey 9 – March 24 to May 3, 2021 |
| Target completion date (optional) | 01-10-2021 |
| Entry Date | 16-09-2021 13:22 |
| Unique ID | iCARE-MO-0043 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Michele |
| Last or family name (Last name) | Okun |
| Email (Enter your email) | mokun@uccs.edu |
| Other investigators or team members (optional) | Catherine Herba |
| Institution | Montreal |
| Country (Country) | Canada |
| Analysis Plan Title | Psychosocial impact and health behaviors associated with the COVID-19 pandemic for pregnant and non-pregnant women. |
| Analysis Plan Description | COVID-19 had an unprecedented impact on people globally. A particular group that may have endured greater amounts of stress and subsequent mental and psychosocial impacts is pregnant women. We plan to compare matched (by country and wave) pregnant and non-pregnant women from whom we have data to assess the impact that COVID-19 has had on mental health and health-related behaviors, social impacts, and intention to vaccinate. We will account for chronic illness, gestational age (if available), and age of mother. t-tests, correlations, regression analyses. 1)(a) Preliminary analyses would also include cronbach’s alpha on the subscales indicated below (eg. actions/health behaviors, concerns and impacts). (b) Preliminary analyses to be conducted to study associations among study variables (eg. subscales of COVID-19 actions, impacts and concerns. (c) We would also like to examine the number of women in our two groups who indicate a positive test of COVID-19. (d) if possible, we would like to conduct a sensitivity analysis, to study the distribution of 1st, 2nd, 3rd trimester and whether this might be associated with different levels of our outcome variables of interest. 2)For regression analyses, we would be looking at our groups as the independent variable (eg. pregnant vs. non pregnant women -matched as indicated above); with the following dependent variables : (1) COVID-19 action /health-related behaviors (mean score); (2) impacts (mean score); (3) concerns (mean score). |
| Keyword 1 | mental health |
| Keyword 2 | pregnancy |
| Keyword 3 (optional) | health behavior |
| Convenience data | Convenience data |
| Location data | Global |
| Data Time Frame | Data from all surveys |
| Entry Date | 14-09-2021 15:12 |
| Unique ID | iCARE-NN-0042 |
| First or given name (First name) | Noah |
| Last or family name (Last name) | Nahmiach |
| Institution | Concordia University |
| Analysis Plan Title | The effects of family size on mental health and body weight during the COVID-19 pandemic |
| Analysis Plan Description | Using the ANOVA analysis, I want to analyze the answers given for questions 7,8,27 and 29 to see if any discrepancies exist between the four, on a global scale. |
| Keyword 1 | adults |
| Keyword 2 | children |
| Keyword 3 (optional) | weight |
| Representative data | Representative data |
| Location data | Global |
| Data Time Frame | Data from specific surveys |
| Data Time Frame – Specific Survey | Survey 9 – March 24 to May 3, 2021 |
| Entry Date | 09-09-2021 13:55 |
| Unique ID | iCARE-DLF-0041 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Delfin Lovelina |
| Last or family name (Last name) | Francis |
| Email (Enter your email) | delfin_lovelina@yahoo.co.in |
| Other investigators or team members (optional) | Dr Suzanne Nethan |
| Institution | National Institute of Epidemiology, ICMR, Chennai, India |
| Country (Country) | India |
| Analysis Plan Title | Knowledge, attitude, and self-reported practice towards measures for prevention of the spread of COVID-19 among Low and Middle income countries |
| Analysis Plan Description | DESCRIPTION AND JUSTIFICATION: The spread of corona virus disease, 2019, has affected several countries in the world. The occurrences of COVID infections are uneven across countries and the same is determined by socioeconomic situations prevailing in the countries besides the preparedness and management. Low and middle-income countries (LMICs), has relatively more incidence of the cases due to COVID-19. Among the 50 countries with the highest disease burden, 33 are developing or LMICs, accounting for more than half of the cases and deaths. Because most asymptomatic and mild infections are undocumented, published figures are likely to be underestimates of the true numbers. Due to a lack of testing and contact tracing, under-reporting and denial, some countries may have 10 times more cases than reported. RATIONALE: This research topic on the Knowledge, attitude and self reported practices towards measures for prevention of COVID- 19 among Low and Middle income countries (Argentina, India, Indonesia, Nigeria and Serbia) using the existing data from the iCARE survey will definitely throw some light to enable preparedness to face the present and future situation. This study will give us an ample scope to further analyze these evidences along with checking policy makers to take necessary action in LMICs. METHODOLOGY: Data from the iCARE bank with reference to Low and Middle income countries (Argentina, India, Indonesia, Nigeria and Serbia) will be extracted. |
| Keyword 1 | lifestyle behaviors |
| Keyword 2 | Government measures |
| Keyword 3 (optional) | Individual compliance |
| Keyword 4 (optional) | Knowledge mobilisation |
| Keyword 5 (optional) | Vaccination Trends |
| Representative data | Representative data |
| Location data | Country-based |
| Country (Country) | India |
| Country 2 (Country) | Argentina |
| Country 3 (Country) | Indonesia |
| More additional countries | Yes |
| List additional countries | Nigeria, Serbia |
| Data Time Frame | Data from all surveys |
| Target completion date (optional) | 31-08-2021 |
| Entry Date | 13-07-2021 14:12 |
| Unique ID | iCARE-BAA-0040 |
| Prefix / Honorific (optional) (Prefix) | Miss |
| First or given name (First name) | Bianca |
| Middle name or initial (optional) (Middle name) | Amber |
| Last or family name (Last name) | Arsever |
| Email (Enter your email) | bianca.arsever@gmail.com |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Impact of Covid-19 on university students mental health as a measure of change in quality of life |
| Analysis Plan Description | The purpose of the study is to see how covid-19 has impacted the mental health of university students and to see how much of the mental health was related to the pandemic as a measure of their change in the quality of life. With the data, I will run descriptive statistics on the participants included as well as run analysis on the change of the mental health of the students broken down by the method of studies (online, hybrid, in-person). I will also analyze the change in the quality of life to be able to distinguish how much Covid itself has impacted the mental health of these students. I will focus on Canadian University students. |
| Keyword 1 | Mental Health |
| Keyword 2 | Students |
| Keyword 3 (optional) | Quality of life |
| Representative data | Representative data |
| Location data | Country-based |
| Country (Country) | Canada |
| Data Time Frame | Data from all surveys |
| Entry Date | 16-07-2021 09:26 |
| Unique ID | iCARE-EC-0039 |
| Prefix / Honorific (optional) (Prefix) | Prof. |
| First or given name (First name) | Étienne |
| Last or family name (Last name) | Charbonneau |
| Email (Enter your email) | etienne.charbonneau@enap.ca |
| Other investigators or team members (optional) | Boisvert, Yves and Bégin,Luc |
| Institution | École nationale d’administration publique |
| Country (Country) | Canada |
| Analysis Plan Title | Trends in support of Sanitary Rules in Québec |
| Analysis Plan Description | We would use the data to i) paint a contextual picture, and possibly to ii) periodize empirically phases of popular support in Québec for COVID restrictions. For all surveys, we would like the raw data for 1) Reactions to COVID questions, suite B, 2) Demographic questions, suite H or I, 3) gender and age questions, suite A, but only for respondents from Québec, Survey 1, For demographics, question G 24, only for respondents from Québec, Survey 2, For demographics, question H 31, only for respondents from Québec, Survey 3, For demographics, question H 31, only for respondents from Québec, Survey 4, For demographics, question H 34, only for respondents from Québec, Survey 5, For demographics, question H 47, only for respondents from Québec, Survey 6, For demographics, question H 47, only for respondents from Québec, Survey 7, For demographics, question I 50, only for respondents from Québec, Survey 8, For demographics, question I 48, only for respondents from Québec, Survey 9, For demographics, question I 45, only for respondents from Québec, Survey 10, For demographics, question I 45, only for respondents from Québec, Survey 11, For demographics, question G 50, only for respondents from Québec. |
| Keyword 1 | trends |
| Keyword 2 | rules |
| Convenience data | Convenience data |
| Representative data | Representative data |
| Longitudinal data (only available for Canada) | Longitudinal data (only available for Canada) |
| Location data | Country-based |
| Country (Country) | Canada |
| Data Time Frame | Data from all surveys |
| Target completion date (optional) | 31-10-2021 |
| Entry Date | 09-07-2021 09:12 |
| Unique ID | iCARE-ZvA-0038 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Zack |
| Last or family name (Last name) | van Allen |
| Email (Enter your email) | zvanallen@ohri.ca |
| Other investigators or team members (optional) | Dr. Justin Presseau |
| Institution | University of Ottawa |
| Country (Country) | Canada |
| Analysis Plan Title | Temporal network analysis of health behaviours during COVID-19 |
| Analysis Plan Description | The aim of this study is to examine the temporal dynamics of multiple health behaviours and pandemic related health behaviours by applying network psychometrics to longitudinal data from the iCARE survey. This approach has the potential to unveil novel patterns of co-variation between health behaviours, pandemic related behaviours and attitudes, and self-reported health outcomes collected over a period of several months. Patterns of co-variation between behaviours can have important consequences for health such as compensatory health behaviours which refer to the tendency for people to engage in healthy behaviours to offset the risk of engaging in unhealthy behaviours (e.g., a person may engage in strenuous exercise to compensate for smoking). Although the temporal dynamics of health behaviours have been examined in regard to traditionally studied health behaviours (smoking, drinking, etc.), to our knowledge they have not been studied in the context of the COVID-19 pandemic. This analysis will use the R package “psychonetrics” to model temporal networks, contemporaneous networks, and between-subject networks using items from the iCARE survey. Understanding how the interconnected relationships between behaviours, attitudes, and outcomes change over time can provide insights into the potentially bidirectional influences between pandemic and non-pandemic related health behaviours on a national level. |
| Keyword 1 | Health behaviours |
| Keyword 2 | Temporal dynamics |
| Longitudinal data (only available for Canada) | Longitudinal data (only available for Canada) |
| Location data | Country-based |
| Country (Country) | Canada |
| Data Time Frame | Data from all surveys |
| Entry Date | 21-06-2021 13:08 |
| Unique ID | iCARE-MB-0037 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Mohamad |
| Last or family name (Last name) | Baydoun |
| Email (Enter your email) | mohamad.baydoun@ucalgary.ca |
| Other investigators or team members (optional) | Andrew McLennan, Linda E. Carlson |
| Institution | University of Calgary |
| Country (Country) | Canada |
| Analysis Plan Title | Comparing the impacts of COVID19 on psychosocial health and quality of life between cancer patients, patients with other chronic illness, and healthy individuals across diverse countries of the globe |
| Analysis Plan Description | The aim of this study is to compare the impacts of COVID19 on mental health, quality of life, and coping behaviors between cancer patients, patients with other chronic illness, and healthy individuals across diverse countries of the globe. We will analyze data from all cross-sectional surveys in order to understand differences between groups (cancer vs. chronic vs healthy). Specifically, differences in sociodemographic characteristics (e.g., gender, age) between groups will be evaluated using χ2 (categorical data) or ANOVA (continuous data). A series of linear regressions will be used to evaluate the associations between the medical group (independent variable with 3 levels: cancer vs. chronic vs. healthy) and each of the following dependent variables: (Q25) (COVID-19 related anxiety: ‘To a Great Extent’, ‘Somewhat’, ‘Very Little’, ‘Not at All’); Q27 (impacts on psychosocial wellbeing: ‘To a Great Extent’, ‘Somewhat’, ‘Very Little’, ‘Not at All’), and Q28 (coping behaviors: ‘I do this a lot more’, ‘I do this more’, ‘I do this as much as before’, ‘I do this less’, ‘I do this a lot less’, ‘I don’t do this’); and Q30 (quality of life: it’s gotten much better; It’s gotten better; It’s remained the same; It’s gotten worse; It’s gotten much worse). All of these categories will be converted to continuous data and used for linear regression. The lowest level of effect (‘healthy’; ‘Not at All’, ‘I don’t do this’; it’s gotten much better) will be used as reference categories. |
| Keyword 1 | Cancer |
| Keyword 2 | Quality of life |
| Convenience data | Convenience data |
| Location data | Global |
| Data Time Frame | Data from all surveys |
| Entry Date | 15-06-2021 12:45 |
| Unique ID | iCARE-EC-0036 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Eduardo |
| Last or family name (Last name) | Caputo |
| Email (Enter your email) | caputoeduardo@yahoo.com.br |
| Other investigators or team members (optional) | Paula A B Ribeiro and Felipe F Reichert. |
| Institution | Universidade Federal de Pelotas |
| Country (Country) | Brazil |
| Analysis Plan Title | Physical activity during Covid-19 social restrictions in the Americas |
| Analysis Plan Description | Covid-19 pandemic affected people’s behaviours and health in different ways. Many people increased the time spent at home in sedentary pursuits and it might have detrimental effects on health. In addition, countries across Americas managed the pandemic differently, with some of them imposing heavy distancing measures to reduce virus spread while others were more complacent with the disease. We are particularly interested in investigating how physical activity varied in South (Argentina, Brazil, Bolivia, Chile, Colombia, Ecuador, Paraguay, Uruguay and Venezuela) and North (USA and Canada) America’s countries. We are further interested in investigating whether having a health condition (eg. heart disease) or other health behaviors (smoking cigarettes, drinking alcohol and eating a healthy diet) impacts physical activity differently across Americas. Descriptive analyses will be carried out to describe the sample in terms of age, sex, region, education and employment status,as well as health condition and behaviors. Uni and multivariable models will be built to explore the main associations. A multilevel approach (Generalized Linear Model) will be used to analyse the changes in physical activity across survey timepoints (1 to 10) . |
| Keyword 1 | physical activity |
| Keyword 2 | Covid-19 |
| Convenience data | Convenience data |
| Location data | Global |
| Data Time Frame | Data from all surveys |
| Target completion date (optional) | 03-09-2021 |
| Entry Date | 14-06-2021 18:22 |
| Unique ID | iCARE-DS-0035 |
| Prefix / Honorific (optional) (Prefix) | Ms. |
| First or given name (First name) | Shrinkhala |
| Last or family name (Last name) | Dawadi |
| Email (Enter your email) | shrinkhala.dawadi@monash.edu |
| Other investigators or team members (optional) | Dr. Joanne Enticott, Prof. Jacqueline Boyle |
| Institution | Monash Centre for Health Research Implementation |
| Country (Country) | Australia |
| Analysis Plan Title | Adherence to COVID-19 preventative behaviours pre and post vaccination |
| Analysis Plan Description | I will use the four waves of the representative Australian and Canadian datasets to assess participants’ adherence to COVID-19 preventative behaviours pre and post vaccinationMeasures: Participants’ sociodemographic characteristics (age, gender, income, and education), vaccination status, and perceived importance of COVID-19 preventative behaviors, self-reported adherence to preventative behaviors.Statistical Analysis Plan:1.Descriptive statistics will assess sample characteristics and number of participants responding to multiple survey waves2.Two-level mixed effects regression analyses with the country specified as the random effect will examine adherence to preventative health behaviours by vaccination status. Three-level mixed effects regression analyses with country and time specified as the random effect to account for clustering at different times will also be investigated.3.Secondary analyses will employ mixed-effects ordinal logistic regression to examine the separate behaviours comprising the composite score (above). Ordered logistic regressions will assess single-item outcomes. 4.Specification curves for each outcome variable will be conducted using the specr and rdfanalysis packages in R.5.Independent variables will be a range of socio-econ-demographic characteristics as well as perceived importance of prevention measures. Choice of independent variables will be informed by PCA and previous work on the Australian data. |
| Keyword 1 | Vaccination |
| Keyword 2 | Preventative behaviours |
| Keyword 3 (optional) | Vaccine |
| Keyword 4 (optional) | Social distancing |
| Keyword 5 (optional) | mask wearing |
| Representative data | Representative data |
| Longitudinal data (only available for Canada) | Longitudinal data (only available for Canada) |
| Location data | Country-based |
| Country (Country) | Canada |
| Additional countries | Yes |
| Country 2 (Country) | Australia |
| Data Time Frame | Data from all surveys |
| Target completion date (optional) | 03-09-2021 |
| Entry Date | 08-06-2021 05:01 |
| Unique ID | iCARE-ST-0033 |
| Prefix / Honorific (optional) (Prefix) | Miss |
| First or given name (First name) | Susana |
| Last or family name (Last name) | Torres |
| Email (Enter your email) | storres3@eafit.edu.co |
| Other investigators or team members (optional) | Mariantonia Lemos, PhD. |
| Institution | Universidad EAFIT |
| Country (Country) | Colombia |
| Analysis Plan Title | Variables associated with the likelihood of getting the vaccine in a Colombian sample |
| Analysis Plan Description | We would like to use the iCARE data to analyze what variables influence the likelihood of Colombians getting the vaccine and if there is a difference with other Latin-American countries. With this objective in mind, the analyses would characterize the respondents to identify in which sub-groups there is a lower vaccination intention and understand the reasons that have more weight to get the vaccine. In this regard, we propose to perform descriptive and bivariate analysis, multiple linear regression and establish a model of structural equations to address causality. |
| Keyword 1 | Vaccination |
| Keyword 2 | Influence |
| Keyword 3 (optional) | Latin America |
| Keyword 4 (optional) | Colombia |
| Convenience data | Convenience data |
| Other type of data | Survey data |
| Location data | Global |
| Data Time Frame | Data from all surveys |
| Analysis outputs (optional) | Publication but also information to design campaigns about our healthy behaviours |
| Target completion date (optional) | 27-08-2021 |
| Entry Date | 02-06-2021 09:44 |
| Unique ID | iCARE-SOC-0032 |
| Prefix / Honorific (optional) (Prefix) | Miss |
| First or given name (First name) | Sarah |
| Last or family name (Last name) | O’Connor |
| Email (Enter your email) | sarah.oconnor.2@ulaval.ca |
| Other investigators or team members (optional) | Lise Gauvin, Ariane Bélanger-Gravel |
| Institution | Université Laval |
| Country (Country) | Canada |
| Analysis Plan Title | Exploring factors associated with lifestyle behavior changes during the COVID-19 pandemic in Canada |
| Analysis Plan Description | Objective 1: To identify the characteristics of individuals who reported improvement/degradation/no change in their lifestyle behaviors during the COVID-19 pandemic in Canada. Objective 2: To identify variations in the reporting of changes in lifestyle behaviors during the pandemic of COVID-19. Methods: We will use data from the representative Leger surveys 1 to 6. Information on perceived changes in lifestyle behaviors during the COVID-19 pandemic will be divided into three categories: 1) improvement, 2) deterioration, 3) no change/no prior adoption. We will then examine diet, physical activity, alcohol intake, tobacco intake and recreational drug intake, alone or in combination using a cumulative score to characterize the direction of changes. Associations with the following variables will be examined: geographical factors, demographic factors, socio-economic factors), health status and variables pertaining to the pandemic (government recommendations; concerns and impact of the COVID-19 pandemic on occupation, income, financial challenges, physical/financial access to food, bodyweight). Statistical analyses: For each survey, descriptive statistics will be calculated to depict lifestyle behavior changes categories. Differences in the characteristics of respondents will be then examined using ANOVA and Fisher exact test / Chi-square test. Finally, we plan on depicting longitudinal trends in changes of lifestyle behaviors using graphical tools and descriptive statistics. |
| Keyword 1 | lifestyle behavior |
| Keyword 2 | diet |
| Keyword 3 (optional) | physical activity |
| Keyword 4 (optional) | alcohol intake |
| Keyword 5 (optional) | tobacco |
| Keyword 6 (optional) | recreational drugs |
| Representative data | Representative data |
| Longitudinal data (only available for Canada) | Longitudinal data (only available for Canada) |
| Location data | Country-based |
| Country (Country) | Canada |
| Data Time Frame | Data from all surveys |
| Target completion date (optional) | 31/09/2021 |
| I’d prefer to receive a monthly digest of new analysis plans or analysis plan updates. | I’d prefer to receive a monthly digest of new analysis plans or analysis plan updates. |
| Entry Date | 01-06-2021 12:32 |
| Unique ID | iCARE-JK-0031 |
| Prefix / Honorific (optional) (Prefix) | Ms. |
| First or given name (First name) | June |
| Last or family name (Last name) | Kim |
| Email (Enter your email) | yeekyungkim@hotmail.com |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Impacts of COVID-19 healthcare policies across different income groups in Canada |
| Analysis Plan Description | Analyze how different income groups in the Canadian representative sample (top-third, middle-third, bottom-third) have been impacted financially and in terms of physical and mental health by Canadian COVID-19 mitigation policies (such as quarantine orders and closure of non-essential services). I want to analyze how these income groups perceive governmental policies (strict/lenient), motivations to adhere to policies and their main concerns about COVID-19. I would also like to analyze the proportion of non-white individuals (or racially marginalized individuals) belonging to each income group. The main objective is to assess how different income groups in Canada may be disproportionately affected by COVID-19 healthcare policies and how they perceive these policies, to inform future decisions of policymakers. |
| Keyword 1 | impacts |
| Keyword 2 | sociodemographics |
| Keyword 3 (optional) | COVID-19 policies |
| Keyword 4 (optional) | government measures |
| Keyword 5 (optional) | employment |
| Keyword 6 (optional) | adherence |
| Representative data | Representative data |
| Location data | Country-based |
| Country (Country) | Canada |
| Data Time Frame | Data from specific surveys |
| Data Time Frame – Specific Survey | Survey 1 – March 27 to May 5, 2020, Survey 2 – May 6 to June 7, 2020, Survey 3 – June 8 to July 21, 2020 |
| Entry Date | 27-05-2021 17:22 |
| Unique ID | iCARE-ABG-0030 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Ariane |
| Last or family name (Last name) | Bélanger-Gravel |
| Email (Enter your email) | ariane.belanger-gravel@com.ulaval.ca |
| Other investigators or team members (optional) | Olivier Drouin, Tracie Barnett, Jovana Stojanovic, Kim Lavoie, Simon Bacon |
| Institution | Université Laval |
| Country (Country) | Canada |
| Analysis Plan Title | Investigating factors associated with adherence to protective behaviours among Canadian young adults |
| Analysis Plan Description | To support the design of effective public health strategies, it is critical to understand what factors determine adherence (or lack thereof) to preventive behaviours. The aim of this study is to examine factors associated with adherence to preventive behaviours (e.g., hand washing, physical distancing, self-quarantining, avoiding gatherings) among Canadian young adults (18-29 y). Analyses will be performed on data from the representative surveys conducted in Canada (surveys 1 to 5). The objectives of this study are to describe 1) adherence to preventive behaviours, levels of concerns regarding the pandemic, and the distribution of key communication/intervention variables (e.g., the perceived convincingness of different information, level of trust in authorities, sources of information, etc.) across survey periods; and 2) to examine factors associated with adherence to protective behaviours. This latter analysis will include variables from the COM-B model of behaviour change (i.e., capabilities, opportunities and motivations) assessed in the survey questionnaire. Descriptive statistics (e.g., chi-square and univariate logistic regression analyses) will be used for the first set of objectives and multivariate logistic regression analysis will be used for the second objective. The latter will control for socidemographic characteristics such as province of residence, sex, income, presence of a chronic disease, etc. |
| Keyword 1 | Young adults |
| Keyword 2 | Correlates of adherence |
| Representative data | Representative data |
| Location data | Country-based |
| Country (Country) | Canada |
| Data Time Frame | Data from all surveys |
| Statistical assistance | Yes |
| Statistical assistance needed | If possible, we would like to have some assistance for the first step of our analysis, that is for extracting the descriptive statistics. |
| Analysis outputs (optional) | Bélanger-Gravel, A., Barnett, T., Stojanovic, J., At, M., Séguin, K., Lavoie, K. & Bacon, S. for the iCARE study team. Young adults and social gatherings: an exploration of behaviours, arguments for behaviour changes, concerns and sources of information. COVID-19 Forum of the Canadian Public Health Association, Online, April 2021. |
| Entry Date | 26-05-2021 11:17 |
| Unique ID | iCARE-VSB-0029 |
| Prefix / Honorific (optional) (Prefix) | Miss |
| First or given name (First name) | Vicky |
| Middle name or initial (optional) (Middle name) | Sarai |
| Last or family name (Last name) | Barrera |
| Email (Enter your email) | sarai.delgado@hotmail.com |
| Institution | MBMC, Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Effect of area of residence on adherence to preventive measures and changes in the quality of life as a result of the COVID 19 pandemic in South America/Latin America. |
| Analysis Plan Description | Study if the area (rural, urban, suburban) in which people live is associated to changes in quality of life and levels (or frequency) of adherence to preventive measures (such as wearing mask, hand washing, social distance, and likelihood of getting vaccinated) as a result of the COVID 19 pandemic.Sex can be used as a stratification variable |
| Keyword 1 | Area of residence |
| Keyword 2 | Quality of life |
| Keyword 3 (optional) | preventive measurements |
| Survey data | Survey data |
| Location data | Region-based |
| South America | South America |
| Target completion date (optional) | 01-06-2021 |
| Entry Date | 13-05-2021 11:34 |
| Unique ID | iCARE-JMM-0028 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Jeremie |
| Middle name or initial (optional) (Middle name) | Mede |
| Last or family name (Last name) | Moussa |
| Email (Enter your email) | urska.kosir@mail.concordia.ca |
| Other investigators or team members (optional) | Urska Kosir |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Clustering of health behaviours of Canadians during COVID-19 |
| Analysis Plan Description | The goal is to create a classification model in Canadian representative sample and see how it performs in a similar international sample. By using machine learning clustering methods, I would try and find a correlation between the different surveys and group people based on the result. |
| Keyword 1 | Clustering |
| Keyword 2 | representative sample |
| Keyword 3 (optional) | Canada |
| Keyword 4 (optional) | Machine Learning |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Entry Date | 06-05-2021 16:24 |
| Closed Date | November 22, 2021 |
| Unique ID | iCARE-JS-0027 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Jovana |
| Last or family name (Last name) | Stojanovic |
| Email (Enter your email) | jovana.stojanovic@mail.concordia.ca |
| Other investigators or team members (optional) | Paula AB Ribeiro (PhD), Urška Košir (PhD), Simon L Bacon (PhD),Kim L Lavoie (PhD) |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Impacts of COVID-19 on Individuals with Multiple Chronic Conditions: Analysis from a series of representative samples in Canadians |
| Analysis Plan Description | This proposal aims to understand the impacts of COVID-19 on Canadians living with multimorbidity. We will analyse data from four representative surveys in Canada (Survey 2, 3, 4 and 5) in order to understand health behaviour and access to care impacts among individuals with no chronic condition, with one chronic condition and multiple chronic conditions. Changes over time will be evaluated as well.Outcomes of interest include a series of questions from the iCARE impacts module, with possible answers ‘To a Great Extent’, ‘Somewhat’, ‘Very Little’, ‘Not at All’, ‘I dont know or I prefer not to answer’, ‘Not applicable’. Descriptive statistics (proportions) will be used to present differences in COVID-19 impacts across three groups of participants (no condition, one condition, more than 2 conditions). A series of binary and ordinal multivariate logistic regressions models will be performed to assess associations between COVID-19 related impacts (dependent variables) and multimorbidity status (independent variable), adjusting for time, age, sex, education, ethnicity, current employment and province. Sensitivity analysis according to different time-points and chronic condition clustering (for instance cardio-metabolic conditions, cancer, pulmonary conditions) may be performed. All statistical tests will be two-sided (p < 0.05 will be considered significant). Regression coefficients, log odds ratio and their 95% confidence intervals will be presented. |
| Keyword 1 | COVID-19 |
| Keyword 2 | impacts |
| Keyword 3 (optional) | multimorbidity |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Entry Date | 29-03-2021 10:50 |
| Updated | 27-05-2021 |
| Unique ID | iCARE-UK-0026 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Urska |
| Last or family name (Last name) | Kosir |
| Email (Enter your email) | urska.kosir@mail.concordia.ca |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Comparing impacts and concerns among young Canadians with cancer, chronic health conditions, and healthy individuals |
| Analysis Plan Description | The aim of this study is to analyze data from a representative Canadian sample (Leger) and investigate if there exist differences in COVID-19 related concerns, and psychosocial functioning impact between young people with cancer, young people with other chronic health conditions, and healthy individuals. Differences in psychosocial impact were summarized descriptively between the three groups, and again using χ2 for bivariate comparisons between cancer and the remaining 2 groups (chronic/healthy). A series of binary and ordinal logistic regressions will be run to assess the associations between COVID-19 related concerns (dependent variable, concern/no concern), or feelings of anxiety, depression, and loneliness, respectively (dependent variables with three levels: greatly/somewhat/not at all) and the health status (independent variable with 3 levels: cancer, chronic health condition, healthy). Lowest level of impact, no concern, and healthy will be used as reference categories. Models will include age, gender, a diagnosis of mental health (yes/no), medical insurance (yes/no), and wave of survey as covariates. Any post hoc analyses may be specified additionally. |
| Keyword 1 | cancer |
| Keyword 2 | chronic health condition |
| Keyword 3 (optional) | young adults |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Additional countries | No |
| Analysis outputs (optional) | Online presentation for COVID-19 Social Impacts Network/ Présentation: Le Réseau COVID-19 sur les impacts sociaux – March 10, 2021 |
| Target completion date (optional) | 30-04-2021 |
| Entry Date | 15-03-2021 14:46 |
| Unique ID | iCARE-VGB-0025 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Vincent |
| Last or family name (Last name) | Gosselin Boucher |
| Email (Enter your email) | vincent.gosselin.boucher@gmail.com |
| Other investigators or team members (optional) | Voisard, B., Stojanovic, J., Bacon, S.L., Lavoie,K. |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Physical and mental health impact of the pandemic on health care and essential workers – Representative samples |
| Analysis Plan Description | This study aimed to identify the concerns, behaviour health and mental health impacts among Canadian ESWs, healthcare workers compared to non-ESW (NESW). Canadian representative samples; Canadians aged 18+ years completed the iCARE survey (www.icarestudy.com) using an online polling firm between June 4-17 (time 1) and October 29-November 11, 2020 (time 2).
Descriptive analysis for: recimp; recgovop; actrate; PROV; area; sex; age_yrs; age; edu; REVEN; hoinc; hecond_sq001-011; Comparison between groups for variables concern, behaviour and health behaviour variables. Group: Healthcare workers (HCWs) vs No HCWs; Essential service workers (ESWs) vs No ESWs; HCWs vs ESWs; Comparison between Time – Canadian representative sample – 1: Avril 2020; 2: June 2020 3: November 2020; 4: January 2021; 5: March 2021; 6: June 2021; 7: August 2021 |
| Keyword 1 | Healthcare workers |
| Keyword 2 | Mental Health |
| Keyword 3 | Essential workers |
| Keyword 2 | Behaviour |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Additional countries | No |
| Analysis outputs (optional) | Boucher, V.G., Voisard, G., Bacon, S., & Lavoie, K. L. The impact of COVID-19 on Essential Service workers in Canada: Results from two nationally representative samples in the iCARE Study. Poster presentation (YouTube or PowerPoint) April 21, 2021: COVID-19 & Public Health Forum 2021. https://mbmc-cmcm.ca/mbmc/wp-content/uploads/2021/04/CPHA_VGB_2021_2.0_10min-presentation.pdf |
| Target completion date (optional) | 01-04-2021 |
| Entry Date | 08-02-2021 11:45 |
| Updated on: | 15-02-2021 and 25-08-2021 |
| Unique ID | iCARE-LK-0024 |
| First or given name (First name) | lisa |
| Last or family name (Last name) | kakinami |
| Email (Enter your email) | lisa.kakinami@concordia.ca |
| Other investigators or team members (optional) | Rubab Moiz (SCOL 391 project) |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Associations between COVID and mental health in students |
| Analysis Plan Description | The COVID-19 pandemic has impacted millions of people mentally and physically. The purpose of this study is to identify major mental health stressors associated with COVID-19 (e.g., fear of contracting, fear of spreading, increased academic concerns, etc.) among students. Thus the aims of this study are to (1) assess the association between COVID-19 and mental health of college and university students, and (2) assess the association between mental health of college and university students and the different coping mechanisms they have adopted since the outbreak. Depending on the sample size, this could include focusing on (a) those with the highest mental health stressors/concerns due to COVID-19, (b) sex differences, or (c) whether COVID-19 related mental health effects is a moderator for coping mechanisms. To address these objectives, we are asking for the data relating to COVID-19 stressors, mental health impacts, coping mechanisms, and student-specific questions in Survey 5. Using these data, we will perform statistical analysis through descriptive statistics of the sample, and multiple logistic regression with the use of particular coping mechanisms (e.g., used more than before vs. less or the same) as the outcomes focusing either on controlling for demographic and socioeconomic characteristics (e.g., age, perceived income ranking, etc.) or by performing a comparative analysis (e.g., sex comparison, perceived income ranking, etc.). |
| Keyword 1 | student |
| Keyword 2 | mental health |
| Keyword 3 (optional) | coping mechanisms |
| Survey data | Survey data |
| Location data | Global |
| Target completion date (optional) | 31-08-2021 |
| Entry Date | 02-02-2021 11:15 |
| Unique ID | iCARE-AGH-0023 |
| Prefix / Honorific (optional) (Prefix) | Miss |
| First or given name (First name) | Amandine |
| Last or family name (Last name) | Gagnon-Hébert |
| Email (Enter your email) | amandine.gagnon-hebert.1@ulaval.ca |
| Other investigators or team members (optional) | N/A |
| Institution | UQAM |
| Country (Country) | Canada |
| Analysis Plan Title | Impact of Covid-19 outbreak on Canadian with mental health disorder |
| Analysis Plan Description | Chapter 1: Global impact of the Covid-19 outbreak on Canadian according to their mental health state and gender This study aims to delineate how the Covid-19 outbreak is impacting Canadians through time according their mental health state (depressive vs. anxious vs. depressive and anxious vs. control). We also aim to determine what are the consequences of the Covid-19 (financial, psychological, provision of services, etc.) and to what extend they have been impactful on the quality of life of those sub-groups. Furthermore, the gender effect will be also investigated. Finally, on an exploratory purpose, we will investigate if these consequences vary at different stages of the pandemic. Chapter 2: Impact of Covid-19 outbreaks on lifestyle of Canadian according to their mental health state and genderThe goal of this second chapter is to investigate how Covid-19 impacts life habits (diet, physical activity, drug consumption, etc.) of Canadians through time according their mental health state (depressive vs. anxious vs. depressive and anxious vs. control). We also aim to determine how a change in life habits during the outbreak could have impacted quality of life. Furthermore, the gender effect will be also investigated. Finally, on an exploratory purpose, we will investigate how life habits evolve at different stages of the pandemic. Canadian sample – iCARE Survey 2 to 6 (Léger). |
| Keyword 1 | Mental Health |
| Keyword 2 | Covid-19 |
| Keyword 3 (optional) | Impact of Covid-19 |
| Keyword 4 (optional) | Depressive disorder |
| Keyword 5 (optional) | Anxiety disorder |
| Keyword 6 (optional) | Life Habits |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Analysis outputs (optional) | Presentations/Reports/Publications/Thesis for D.PSY (UQÀM) between 2021 and 2023 |
| Target completion date (optional) | 14-01-2021 |
| Entry Date | 14-01-2021 19:06 |
| Updated | 23-08-2021 |
| Unique ID | iCARE-FD-0022 |
| Prefix / Honorific (optional) (Prefix) | Mrs. |
| First or given name (First name) | Frédérique |
| Last or family name (Last name) | Deslauriers |
| Email (Enter your email) | deslauriers.frederique@courrier.uqam.ca |
| Other investigators or team members (optional) | Kim Lavoie, Simon Bacon |
| Institution | MBMC |
| Country (Country) | Canada |
| Analysis Plan Title | Impacts of COVID-19 on Canadians with Chronic Diseases |
| Analysis Plan Description | This project aims to understand the impacts of COVID-19 on Canadians living with chronic diseases. The data from the Canadian Leger Survey (Wave 2, 3, 4 and 5) will be used in order to understand impacts among individuals with no chronic condition vs with chronic condition. Outcome of interest include a series of questions from the iCARE impacts model (focusing on the questions concerning the mental health, access to care and health behavior impacts). The participants will be categorized within two groups : with chronic diseases and without chronic disease. The sex will be used as a stratification variable. Changes over time will be evaluated as well. The demographic information of both groups will be compared using descriptives statistics like mean and proportion. In order to assess the differences in the impacts of COVID-19 in the population with chronic diseases and the general population, a general logistic regression model analysis with independent group will be made. All statistical tests will be two-sided (p < 0.05 will be considered significant). With this analysis plan, I will be able to answer the following questions : 1) Are people with chronic disease more impacted and what are the nature of the impacts of COVID-19 ? 2) Are men more impacted by COVID-19 than women ? 3) Are men with chronic disease more impacted than women with chronic disease ? |
| Keyword 1 | Impact |
| Keyword 2 | Chronic Diseases |
| Keyword 3 (optional) | Canada |
| Survey data |
|
| Location data | Country-based |
| Country (Country) | Canada |
| Target completion date (optional) | 28/08/202 |
| Entry Date | 14-01-2021 18:40 |
| Updated | 28-06-2021 |
iCARE-KLL-0021 – Vaccine intentions in Canadians – April 2020 to March 2021 – Representative samples
| Unique ID | iCARE-KLL-0021 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Kim |
| Middle name or initial (optional) (Middle name) | Louise |
| Last or family name (Last name) | Lavoie |
| Email (Enter your email) | kiml_lavoie@yahoo.ca |
| Other investigators or team members (optional) | Simon Bacon, Samir Gupta, Jovana Stojanovic, Vincent Gosselin-Boucher, Michael Vallis, Kim Corace, Myriam Gagne, Paula Ribeiro, Keven Joyal-Desmarais, Ariane Belanger-Gravel, Silvana Barone |
| Institution | MBMC |
| Country (Country) | Canada |
| Analysis Plan Title | Vaccine intentions in Canadians – April 2021 to March 2021 – Representative samples |
| Analysis Plan Description | This study will analyze survey data from five Canadian representative samples (April 2020 to March 2021) to describe changes in vaccine intentions across time among Canadians as a function of key sociodemographics (e.g., age, sex, education, income, location) and among those at high risk of contracting COVID-19 and deemed priority to receive the first wave of vaccines (i.e., healthcare providers, the elderly, and people with chronic conditions). |
| Keyword 1 | Vaccine intentions |
| Keyword 2 | Canada |
| Keyword 3 (optional) | Sociodemographics |
| Keyword 4 (optional) | High risk groups |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Analysis outputs (optional) | Done – Jan 11th 2021 |
| Target completion date (optional) | 20-01-2021 |
| Entry Date | 14-01-2021 10:54 |
| Updated on | 23-08-2021 |
| Unique ID | iCARE-KJD-0020 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Keven |
| Last or family name (Last name) | Joyal-Desmarais |
| Email (Enter your email) | joyal008@umn.edu |
| Other investigators or team members (optional) | The iCARE Study Team |
| Institution | Montreal Behavioural Medicine Centre |
| Country (Country) | Canada |
| Analysis Plan Title | Examining the Comparability Between the iCARE Canadian Representative and Convenience Samples |
| Analysis Plan Description | OVERVIEW: The iCARE project involves a number of datasets collected through convenience-based sampling, along with data collected to be representative of certain countries. Although the potential of convenience sampling to introduce bias has been discussed at length, there have been fewer empirical examinations with large convenience and large representative samples to see how these biases play out when using the same survey instrument. The current project aims to examine: (1) the degree to which the iCARE convenience and Leger samples differ from census-based data, and (2) examine how findings differ between the two types of samples by examining associations to variables such as concerns and behaviours. METHODS: The data used for this study involve the current available waves of convenience and representative sampling for Canada within the iCARE project. We will examine the degree to which means/proportion across variables are similar across the two types of sampling. Analyses will be conducted across a larger set of variables to increase the generalizability of findings. |
| Keyword 1 | Sampling Strategies |
| Keyword 2 | Selection Bias |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada (only) |
| Analysis outputs | PREPRINT: Joyal-Desmarais, K., Stojanovic, J., Kennedy, E.B., Enticott, J.C., Gosselin-Boucher, V., Vo, H., Košir, U., Lavoie, K.L., Bacon, S.L., for the iCARE Team (2021). How Well do covariates perform when adjusting for sampling bias in COVID-19 Research? Insights from Multiverse Analyses. Pre-print available at: psyarxiv.com/27sjd
PRESENTATION: Joyal-Desmarais, K., Stojanovic, J., Kennedy, E.B., Enticott, J.C., Gosselin-Boucher, V., Vo, H., Košir, U., Lavoie, K.L., Bacon, S.L., for the iCARE Team (December 2, 2021). Do common covariates help or harm when it comes to reducing sampling bias in COVID-19 research? Lessons from the multiverse. Invited talk at the iCARE Study International Symposium. Watch session PRESENTATION: Joyal-Desmarais, K., Atoui, M., Bacon, S.L., Boucher, V.G., Enticott, J.C., Kennedy, E.B., Košir, U., Lavoie, K.L., Stojanovic, J., Vo, H., on behalf of the iCARE Team (2021). How Successful is the Use of Covariates to Control for Sampling Biases? Empirical Lessons from Comparing Convenience and Quasi-Representative Samples. Lightning talk at the Metascience 2021 conference. September 16-18, 2021. Available at: osf.io/d6zwj/ |
| Target completion date (optional) | 31-03-2021 |
| Updated on | 16-Feb-21 |
| Unique ID | iCARE-AMB-0019 |
| Prefix / Honorific (optional) (Prefix) | Miss |
| First or given name (First name) | Amelie |
| Last or family name (Last name) | Mainville-Berthiaume |
| Email (Enter your email) | berthiaumea@outlook.com |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Adherence to Preventative Measures for COVID-19 – Which Canadians are at Highest Risk of Spreading the Virus. |
| Analysis Plan Description | I want to evaluate if age is associated to adherence to preventative measures established by the government. More specifically, the preventative measures I would like to analyse are the frequency at which individuals engage in (1) social distancing, (2) hand washing, (3) wearing a mask and (4) the likelihood that they will get vaccinated. An analysis of the Canadian data from Survey 5 will be done to examine the association between age and the preventative measures listed above. |
| Keyword 1 | Coronavirus |
| Keyword 2 | COVID-19 |
| Keyword 3 (optional) | Preventative Measures |
| Keyword 4 (optional) | Vaccination |
| Keyword 5 (optional) | Age |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Additional countries | No |
| Target completion date (optional) | 01/31/2021 |
| Entry Date | 16-12-2020 10:48 |
| Closed Date | 08-09-2021 |
| Unique ID | iCARE-JS-0018 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Jovana |
| Last or family name (Last name) | Stojanovic |
| Email (Enter your email) | stojanovic.jovana1988@gmail.com |
| Other investigators or team members (optional) | Paula A B Ribeiro (PhD), Vincent G Boucher (MSc), Ruth Bruno (MSc), Simon L. Bacon (PhD), Kim L. Lavoie (PhD), for the iCARE Study |
| Institution | Concordia university |
| Country (Country) | Canada |
| Analysis Plan Title | Exploring predictors of COVID-19 Vaccination hesitancy across the globe |
| Analysis Plan Description | The success of upcoming COVID-19 vaccination is contingent upon people being willing to get and then actually getting the vaccine. Our study will explore and determine the predictors of COVID-19 vaccination hesitancy across diverse countries of the globe. We will analyze data from the COVID-19-related Attitudes, concerns REsponses and impacts in relation to public health policies (iCARE) global study (Surveys 1 to 7). Statistical analyses will include multivariate models that will assess key socio-demographic and health-related determinants of vaccine hesitancy, including sex, age, education, income, occupation and previous vaccination, with appropriate time adjustments. Outcome of interest will refer to the vaccine intention question (‘If a vaccine for COVID-19 were available today, what is the likelihood that you would get vaccinated’). Reducing vaccine hesitancy represents one of the many challenges in the fight against COVID-19 that urgently needs addressing by the policymakers and public health authorities. Our findings will allow us to map out the key determinants of COVID-19 vaccine hesitancy on a global level, and inform future targeted policy efforts for increasing vaccine uptake. |
| Keyword 1 | vaccine hesitancy |
| Keyword 2 | vaccination |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Diverse countries from the global sample, depending on the data availability |
| Analysis outputs (optional) | |
| Target completion date (optional) | 15-03-2021 |
| Entry Date | 08-12-2020 14:51 |
| Updated on | 16-Feb-21 |
| Unique ID | iCARE-VGB-0017 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Vincent |
| Last or family name (Last name) | Gosselin Boucher |
| Email (Enter your email) | vincent.gosselin.boucher@gmail.com |
| Other investigators or team members (optional) | Beraneck, M., Bacon, S.L., Lavoie, K.L. |
| Institution | Montreal Behavioural Medicine Centre |
| Country (Country) | Canada |
| Analysis Plan Title | Level of concern, vaccination willingness and health behaviour in the context of Covid-19 in France |
| Analysis Plan Description | This is a descriptive paper on the willingness to be vaccinated, the population concern around COVID-19 and the health behaviour in France over the course of the pandemic. All data from France will be used out of the global survey. We will try to identify the trends and identify the characteristics specific to the different concerns, behaviour and willingness in the potential vaccine for COVID-19. Is there a difference across the months for responses from France, since March 27 (launch of the survey)?Has there been a change in the survey’s response according to the implementation of the different policies related to COVID-19? |
| Keyword 1 | Concerns |
| Keyword 2 | Vaccination |
| Keyword 3 (optional) | Behaviour |
| Survey data | Survey data |
| Policy data | Policy data |
| Case data | Case data |
| Location data | Country-based |
| Country (Country) | France |
| Additional countries | No |
| Entry Date | 18-11-2020 15:18 |
| Unique ID | iCARE-VGB-0016 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Vincent |
| Last or family name (Last name) | Gosselin Boucher |
| Email (Enter your email) | vincent.gosselin.boucher@gmail.com |
| Other investigators or team members (optional) | Stojanovic, J., Lavoie, K.L., Bacon, S.L and the iCARE team |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Difference between perception of government recommendation and population behaviours around wearing a face mask |
| Analysis Plan Description | The objective is to evaluate the difference between the perception of government recommendations and the population’s behaviour regarding the wearing of masks according to the implementation date of policies.The target countries: Canada, US, Colombia, Brazil and France. Repeated measures analysis between the first 4 waves of the survey (27 March – 6 May; 7 May – 6 June; 7 June – 29 July; 30 July – 14 September) for the perception of recommendations and behaviours, by country (control for age, sex, education). The Coronavirus Government Response Tracker will be use to obtain the dates when the governments introduced COVID-19 containment/ mask measures in addition to country-specific data from federal governments. |
| Keyword 1 | Face mask |
| Keyword 2 | Behaviour |
| Keyword 3 (optional) | Health Behaviour |
| Keyword 4 (optional) | Mask policies |
| Survey data | Survey data |
| Policy data | Policy data |
| Location data | Country-based |
| Country (Country) | Canada |
| Country 2 (Country) | France |
| Country 3 (Country) | United States |
| List additional countries | Brazil; Columbia |
| Entry Date | 30-10-2020 13:25 |
| Unique ID | iCARE-LP-0015 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Louise |
| Last or family name (Last name) | Pilote |
| Email (Enter your email) | louise.pilote@mcgill.ca |
| Other investigators or team members (optional) | Valeria Raparelli, Colleen M. Norris, Karolina Kublickiene (Karolinska Institute, Sweden), Alexandra Kautzy-Willer (University of Vienna, Austria), Maria Trinidad Herrero (Murcia University, Spain), Kim Lavoie, and Simon Bacon |
| Institution | RIMUHC |
| Country (Country) | Canada |
| Analysis Plan Title | Sex- and gender-related determinants of public perceptions and behavioral responses to the COVID-19 outbreak: a multi-countries comparison study |
| Analysis Plan Description | Using the iCARE survey data, we will perform a sex-stratified global analysis of public engagement in the four key protective health behaviors, including: (i) hand washing, (ii) wearing a face mask, (iii) staying at least 1-2 meters away from other people, and (iv) avoiding large social gatherings. We will provide descriptive analyses sex-stratified for: gender-related factors such as age, level of education, work status, country of residence, Gender Inequality Index (GII), and baseline mental health conditions (any depressive or anxiety disorders). We will look for sex differences in outcomes (protective health behaviors) and test the association between sex, gender-related factors, and outcomes in an adjusted multivariable model. We will perform bivariate logistic regressions for crude analysis followed by backward stepwise selection method for adjusted odds ratios (OR). A priori gender-related cofactors (age, education level, work status, household income, and GII) along with all other variables in bivariate analysis will be included in multivariable models |
| Keyword 1 | Sex |
| Keyword 2 | Gender |
| Keyword 3 (optional) | Behaviors |
| Keyword 4 (optional) | Perceptions |
| Keyword 5 (optional) | Cross-sectional study |
| Keyword 6 (optional) | Country |
| Survey data | Survey data |
| Location data | Global |
| Target completion date (optional) | 31-12-2020 |
| Entry Date | 09-10-2020 14:02 |
| Updated | 20-05-2021 |
| Unique ID | iCARE-SYL-0014 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | SIEW YIM |
| Last or family name (Last name) | LOH |
| Email (Enter your email) | syloh@um.edu.my |
| Other investigators or team members (optional) | (n/a) |
| Institution | University of malaya |
| Country (Country) | Malaysia |
| Analysis Plan Title | Behavioural responses to public health measures to mitigate Covid 19: a comparison across asian vs. westerned countries |
| Analysis Plan Description | 1. descriptive of developing countries (D1) vs developed countries (D2) in the icovid study – and covid cases 2. what are the actions taken by goverment in D1 vs D2 and what are the differences3. What are the self reported mitigation behaviours: (D1 vs D2) descriptive and t test of differences3. What are the % and differences in preventive behaviours between (D1 vs D2) 4. also for impact etc |
| Keyword 1 | Asian countries, western countries |
| Keyword 2 | covid 19 responses (government measures) |
| Keyword 3 (optional) | covid 19 responses (individual compliance) |
| Survey data | Survey data |
| Location data | Global |
| Entry Date | 11-08-2020 01:14 |
| Unique ID | iCARE-ML-0013 |
| First or given name (First name) | Mariantonia |
| Last or family name (Last name) | Lemos |
| Email (Enter your email) | mlemosh@eafit.edu.co |
| Institution | Universidad EAFIT |
| Country (Country) | Colombia |
| Analysis Plan Title | Behaviour changes due to COVID-19 in Colombia |
| Analysis Plan Description | We would like to analyze how behaviors have changed in Colombia during the COVID-19 contingency has been developed. We would like to know the descriptive norms that people have develop and what are the motives to change behaviors. Additionally we could relate those changes with the policy changes we have had in the country. |
| Keyword 1 | Health behaviors |
| Keyword 2 | Colombia |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Colombia |
| Analysis outputs (optional) | Publication but also information to design campains about our healthy behaviors |
| Target completion date (optional) | 30-06-2021 |
| Entry Date | 14-09-2020 11:13 |
| Updated | 08-04-2021 |
| Unique ID | iCARE-VGB-0012 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Vincent |
| Last or family name (Last name) | Gosselin Boucher |
| Email (Enter your email) | vincent.gosselin.boucher@gmail.com |
| Other investigators or team members (optional) | Stojanovic J.,Lavoie, K.L, Bacon S.L. |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Defining the different phases of the COVID-19 pandemic: an iCARE study open access code development project |
| Analysis Plan Description | The aim of this study is to create an open access analytic model to determine the COVID-19 pandemic phases. Data (between January 22nd and July 20th, 2020 [180 days]) from the John Hopkins COVID dashboard (JHK) for two countries was used in a 6-step process, including: 1) Capturing and formatting the observations from JHK; 2) Calculation of daily percentage of change for COVID-19 cases; 3) Creation of weekly new cases per country population; 4) Coding for 14-day rolling average (RA) of new cases; 5) Calculation of a difference in change in cases; 6) Development of a phase’s identification coding system. |
| Keyword 1 | Phases of the pandemic |
| Keyword 2 | Analytic model |
| Keyword 3 (optional) | Phase identification |
| Case data | Case data |
| Location data | Global |
| Entry Date | 11-09-2020 12:22 |
| Unique ID | iCARE-VGB-0011 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Vincent |
| Last or family name (Last name) | Gosselin Boucher |
| Email (Enter your email) | vincent.gosselin.boucher@gmail.com |
| Other investigators or team members (optional) | Stojanovic J., Lavoie, K.L,Bacon S.L. |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Is the COVID-19 pandemic impacting influenza? |
| Analysis Plan Description | The aim of the present study was to explore how the epidemiology of yearly influenza is impacted by the COVID-19 pandemic.The World Health Organization’s influenza database (FluNet) and the Johns Hopkins Coronavirus Ressources Center’s COVID-19 cases data for four countries across the Northern and Western hemispheres were merged for the period of 2016-2020. Weekly data over this 5-year period were mapped onto one graph per country. |
| Keyword 1 | Influenza |
| Keyword 2 | Epidemiology |
| Keyword 3 (optional) | Health Behaviour |
| Case data | Case data |
| Other type of data | FluNet |
| Location data | Global |
| Statistical assistance | No |
| Entry Date | 11-09-2020 12:16 |
| Unique ID | iCARE-SYL-0010 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | SIEW YIM |
| Last or family name (Last name) | LOH |
| Email (Enter your email) | syloh@um.edu.my |
| Other investigators or team members (optional) | Open invite to join in |
| Institution | University malaya |
| Country (Country) | Malaysia |
| Analysis Plan Title | Impact of Covid on employment -an occupational analyses of icare |
| Analysis Plan Description | A descriptive and inferential statistics to examine the demographics and trend of the ’employed respondants’ across the world. Secondary aim: relationship between impact and employment status |
| Keyword 1 | occupation |
| Keyword 2 | employment |
| Keyword 3 (optional) | covid |
| Keyword 4 (optional) | impact on QoL |
| Survey data | Survey data |
| Location data | Global |
| Entry Date | 11-08-2020 15:07 |
| Unique ID | iCARE-SLB-0009 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Simon |
| Middle name or initial (optional) (Middle name) | L |
| Last or family name (Last name) | Bacon |
| Email (Enter your email) | simon.bacon@concordia.ca |
| Other investigators or team members (optional) | Kim Lavoie, The rest of the iCARE team |
| Country (Country) | Canada |
| Analysis Plan Title | The iCARE methods paper |
| Analysis Plan Description | No analyses needed. This is the general methods paper for the iCARE study |
| Keyword 1 | iCARE |
| Keyword 2 | Methods |
| Other data | Other data |
| Other type of data | No data needed |
| Location data | Global |
| Analysis outputs (optional) | Bacon SL, Lavoie KL, Boyle J for the iCARE study team, et alInternational assessment of the link between COVID-19 related attitudes, concerns and behaviours in relation to public health policies: optimising policy strategies to improve health, economic and quality of life outcomes (the iCARE Study)BMJ Open 2021;11:e046127. doi: 10.1136/bmjopen-2020-046127 |
| Target completion date (optional) | 01-09-2020 |
| Entry Date | 05-08-2020 09:06 |
| Updated | 08-04-2021 |
| Unique ID | iCARE-SLB-0008 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Simon |
| Middle name or initial (optional) (Middle name) | L |
| Last or family name (Last name) | Bacon |
| Email (Enter your email) | simon.bacon@concordia.ca |
| Other investigators or team members (optional) | Kim Lavoie, Others to be decided |
| Institution | CIUSSS |
| Country (Country) | Canada |
| Analysis Plan Title | Use of facemasks in Canada |
| Analysis Plan Description | This is a descriptive paper on the use of facemasks in Canada over the course of the pandemic. All data from Canada will be used out of the global survey. We will try to identify the trends in facemask usage and then identify the characteristics of those not using facemasks in July. |
| Keyword 1 | Facemask |
| Keyword 2 | Canada |
| Keyword 3 (optional) | Predictors of usage |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Additional countries | No |
| Analysis outputs (optional) | There is an infographic which has been created so far and a short technical document on the impact of government officials usage of facemaks |
| Target completion date (optional) | 01-10-2020 |
| Entry Date | 05-08-2020 09:11 |
| Updated | 08-04-2021 |
| Unique ID | iCARE-KLL-0007 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Kim |
| Middle name or initial (optional) (Middle name) | Louise |
| Last or family name (Last name) | Lavoie |
| Email (Enter your email) | kiml_lavoie@yahoo.ca |
| Other investigators or team members (optional) | Simon Bacon, Jovana Stojanovic, Vincent Gosselin-Boucher, et al. |
| Institution | UQAM/MBMC |
| Country (Country) | Canada |
| Analysis Plan Title | Canadian representative sample wave 1-2 results |
| Analysis Plan Description | To assess COVID-19 policy awareness, attitudes and concerns and their association with reported adherence to preventive mitigation strategies among Canadians participating in wave 1 and wave 2 of the iCARE Study (n=6008 over the 2 waves). |
| Keyword 1 | Canada |
| Keyword 2 | Adherence |
| Keyword 3 (optional) | Representative sample |
| Keyword 4 (optional) | Concerns |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Canada |
| Additional countries | No |
| Analysis outputs (optional) | The paper has been submitted to Health Psychology; decision pending. |
| Target completion date (optional) | 22-02-2021 |
| Entry Date | 31-07-2020 13:46 |
| Updated | 22-03-2021 |
| Unique ID | iCARE-SYL-0006 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Siew Yim |
| Last or family name (Last name) | LOH |
| Email (Enter your email) | syloh@um.edu.my |
| Institution | Uni malaya |
| Country (Country) | Malaysia |
| Analysis Plan Title | Attitudes, concerns, impacts of Malaysian_ a cross sectional study [of pu]blic health policies |
| Analysis Plan Description | Attitudes, concerns, impacts of Malaysian_ a cross sectional study [Country: malaysia]; Data Analysis: descriptive stat, A)profile of respondants: age, sex, ethnic; B1) awareness of goverment actions, uptake of actions (Q1-9); B2) Action on social distancing(Q10); B3)perception of Vaccine (Q11); C) Top 3 potential Concerns; D) Top 3 potential Impact, QOL, Health; E) sources of info; F) insurance status and relationship with impact, qol, health behaviour-any statistical difference |
| Keyword 1 | Malaysia |
| Keyword 2 | attitude |
| Keyword 3 (optional) | impact |
| Keyword 4 (optional) | behaviour |
| Keyword 5 (optional) | QOL |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Malaysia |
| Additional countries | No |
| Entry Date | 02-08-2020 08:37 |
| Unique ID | iCARE-SP-0005 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Sandra |
| Last or family name (Last name) | Pelaez |
| Email (Enter your email) | sandra.pelaez@mail.mcgill.ca |
| Other investigators or team members (optional) | Kim Lavoie, Simon Bacon, Jacqueline Boyle, Paula Ribeiro, Jovana Stojanovic, Ana Moga, Reyhaneh Yousefi, Robbie Woods, Mahrukh Jamil, Vincent Gosselin Boucher, Claudia Gemme, Samantha Dalbosco, Daisuke Hayashi Neto, Marlus Karsten, Marilia Estevam Cornelio, Stefania Boccia, Guendalina Graffigna, Tiziana Nania, Analia V Lozada |
| Institution | Université de Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Understanding the relationship between risk communication and public behaviour change during the COVID-19 pandemic |
| Analysis Plan Description | The purpose of this mixed methods multiple case study is to understand the relationship between risk communication strategy and public behaviour change during the COVID-19 pandemic. The study includes three cases (Canada, Australia, and Italy) that will be examined through two interrelated components. The components and objectives are: -Component 1 (quantitative) – Objective 1: To assess general public awareness attitudes, concerns. and adherence to COVID-19, public health measures aiming at delaying and controlling the spread of the disease -Component 2 (qualitative) – Objective 2: To identify key features of COVID-19 risk communication strategy implemented by governments and health-related organisations to educate and inform the general public – Objective 3: To explore citizens’ perspectives on how the risk communication strategy designed to prevent the spread of the COVID-19 impacted public behavior. The social significance and impact of the study stems from studying three cases represented by countries that represents a continent as it is an outstanding opportunity to investigate how each country implemented the policies and navigated the process of the pandemic. Understanding general public perspective on the implemented risk communication strategy is key to preventing and controlling the spread of a pandemic. |
| Keyword 1 | Risk communication |
| Keyword 2 | behaviour change |
| Keyword 3 (optional) | public-centred strategy |
| Keyword 4 (optional) | knowledge mobilisation |
| Policy data | Policy data |
| Location data | Global |
| Target completion date (optional) | 01-07-2021 |
| Entry Date | 23-07-2020 16:59 |
| Confirmed as ongoing | 05-04-2021 |
| Unique ID | iCARE-VGB-0004 |
| First or given name (First name) | Vincent |
| Last or family name (Last name) | Gosselin Boucher |
| Email (Enter your email) | vincent.gosselin.boucher@gmail.com |
| Other investigators or team members (optional) | Dr Simon Bacon; Dr Kim Lavoie; Dr Jovana Stojanovic; Philip Wheeler; Mengding Tian; Olivia Crescenzi; Callum Macleay |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | The effect of COVID-19 government responses on behaviours |
| Analysis Plan Description | The data for the analysis would be taken for 14 countries (being in different phases of the pandemic: Canada, Australie, United Kingdom, Ireland, Italy, Sweden, Brazil, Columbia, South Africa, Kenya, Israel, Taiwan, Australia, and New Zealand). Roughly, we will use data from national government responses (Policy data), population behaviour (Google mobility and iCare survey data) and pandemic phases. The main objective is to determine the effect of changes in national policies on population behaviours. 2) The secondary objective is to determine whether changes in population behaviour have an effect on the number of new cases, and thus the phase of the pandemic. |
| Keyword 1 | Government response |
| Keyword 2 | Behaviour |
| Keyword 3 (optional) | Pandemic’s phase |
| Keyword 4 (optional) | Covid-19-related policies |
| Keyword 5 (optional) | Covid-19 cases |
| Keyword 6 (optional) | Public health |
| Survey data | Survey data |
| Policy data | Policy data |
| Case data | Case data |
| Other data | Other data |
| Other type of data | Google Mobility |
| Location data | Country-based |
| Country (Country) | Canada |
| Country 2 (Country) | Australia |
| Country 3 (Country) | United Kingdom |
| List additional countries | United States, Ireland, Italy, Sweden, Brazil, Colombia, South Africa, Kenya, Israel, Taiwan,and New Zealand |
| Entry Date | 23-07-2020 18:43 |
| Unique ID | iCARE-PABR-0003 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Paula |
| Middle name or initial (optional) (Middle name) | AB |
| Last or family name (Last name) | Ribeiro |
| Email (Enter your email) | paulaabribeiro@gmail.com |
| Other investigators or team members (optional) | Paula A B Ribeiro, Ariany M Vieira, Daisuke Hayashi-Neto, Jovana Stojanovic, Marilia E Cornelio, Darlan L Matte, Marlus Karsten, Simon Bacon, Kim Lavoie, Felipe Reichert |
| Institution | MBMC |
| Country (Country) | Canada |
| Analysis Plan Title | Understanding Brazilians’ initial responses to COVID-19 |
| Analysis Plan Description | Covid-19 has already affected more than 15 million people globally. Understanding the multidimensional impacts of the pandemic, adherence to governmental policies and its correlates could help public health agencies to reduce the spread of the virus and reduce its negative impact. Brazil is the second country in number of cases globally. The first coronavirus case was confirmed on February 26th, and one month after, there were more than 2,900 cases. In order to improve awareness and explore peoples’ perceptions and behaviours, our subgroup hereby requests access to the data of respondents from Brazil from the first wave of the iCare survey. Initially, descriptive analyses by demographic groups will be explored (age, sex, region, education and pre-existent conditions). Uni and multivariable models will be used to explore associations of behavioural responses and COVID-19 specific concerns. Additional analyses will be performed to identify the moderating effects of various sociodemographic and health variables. |
| Keyword 1 | Demographic determinants |
| Keyword 2 | Multivariate models |
| Survey data | Convenience data |
| Location data | Country-based |
| Country (Country) | Brazil |
| Additional countries | No |
| Target completion date (optional) | 15-08-2020 |
| Entry Date | 24-07-2020 10:47 |
| Unique ID | iCARE-JS-0002 |
| Prefix / Honorific (optional) (Prefix) | Dr. |
| First or given name (First name) | Jovana |
| Last or family name (Last name) | Stojanovic |
| Email (Enter your email) | jovana.stojanovic@mail.concordia.ca |
| Other investigators or team members (optional) | Kim Lavoie, PhD (University du Québec à Montréal (UQAM), Canada); Simon Bacon, PhD (Concordia University, Canada); Paula AB Ribeiro, PhD(Montreal Behavioural Medicine Centre, Canada); Valeria Raparelli, PhD (Sapienza – University of Rome, Italy); Stefania Boccia, PhD (Università Cattolica del Sacro Cuore, Italy) |
| Institution | Concordia University |
| Country (Country) | Canada |
| Analysis Plan Title | Public perceptions and behavioural responses to the COVID-19 emergency in Italy: Results from the iCARE study |
| Analysis Plan Description | In Europe, Italy was the first country affected by COVID-19. The national leaders were facing challenges to coordinate the COVID-19 emergency, and a series of governmental decrees targeting individuals’ behaviours were adopted in order to contain the virus. Up to May, Italy had registered 210,717 cases and 28,884 deaths due to COVID-19. We plan to perform a cross-sectional study including the Italian sample of the wave 1 iCARE study (N=1332). The aim is to explore people’s level of awareness and attitudes towards COVID-19 public health policies, and explore the adoption of preventive behaviours and COVID-19 related concerns. Descriptive statistics will be calculated to provide an overview of the study sample in terms of demographic characteristics, behavioural responses, COVID-19 related concerns and selected lifestyle habits. Logistic regression models will be applied to obtain odds ratios and the corresponding 95% confidence intervals for the associations between adoption of preventive measures (dependent variables) and a series of concerns (independent variables), with appropriate adjustments. We will explore these associations according to different demographic variables such as age, sex and region of residence. Statistical analysis will be performed in SAS 9.4. Our proposed analysis will provide important evidence in the Italian context, allowing us to create data-driven recommendations on how to improve preparedness and optimize policy responses to the current pandemic. |
| Keyword 1 | COVID-19 |
| Keyword 2 | cross-sectional study |
| Keyword 3 (optional) | Italy |
| Keyword 4 (optional) | behaviours |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Italy |
| Additional countries | No |
| Analysis outputs (optional) | Virtul poster presentation. Social BRIDGES Virtual conference. Authors: Stojanovic J, Ribeiro PAB, Lavoie KL, Bacon SL (for the iCARE Study Team), Presenter: Stojanovic J, Title: Public perceptions and behavioural responses to the COVID-19 emergency in Italy: Preliminary results from the wave 1 of the iCARE study, Date: July 22-24, 2020 |
| Target completion date (optional) | 30-08-2020 |
| Entry Date | 24-07-2020 13:41 |
| Updated | 08-04-2021 |
| Unique ID | iCARE-CM-0001 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Callum |
| Last or family name (Last name) | MacLeay |
| Email (Enter your email) | cjmmacleay@sympatico.ca |
| Other investigators or team members (optional) | Dr. Jovana Stojanovic, Dr. Kim Lavoie, Dr. Simon Bacon, Dr. Joyce Muhenge Olenja, Dr. Richard Ayah, Dr. Violet Naanyu, Dr. Pamela Miloya Godia, Dr. Elizabeth Kimani, Dr. Hildah Oburu and Dr. Abdhalah Ziraba |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Assessing attitudes, concerns and behavioural responses of the general public to public health policies in Kenya during the COVID-19 pandemic: A cross-sectional survey (the iCARE Study) |
| Analysis Plan Description | The key to slowing the spread of the COVID-19 disease and successfully transitioning through the phases of the pandemic, is public adherence to rapidly evolving behaviour-based public health policies. While some countries have successfully slowed the spread of the virus, other countries like Kenya have seen their positive cases rise from 535 (May 5th) to 15,000+ (July 24th, 2020). The objective of this investigation is to assess public attitudes, concerns, and behavioural responses to COVID-19 public health policies in Kenya. The iCARE study utilizes a multiple cross-sectional survey design to capture self-reported information on a variety of COVID-19 related variables. Six hundred eighty-one responses from Kenya were captured during the first survey from March 27th to May 5th, 2020 using convenience sampling. We plan to implement descriptive statistics to present COVID-19 related behaviours, concerns and perceptions of governmental policies in Kenya. In addition, we will evaluate the association between individuals’ behaviours (dependent variable) and COVID-19 related concerns (independent variable), and how this association changes among key sub-groups of the population (e.g., younger vs older, men vs women). This study will provide real-time evidence to help us understand the impacts of COVID-19 policies and we hope to provide data-driven recommendations to the Kenyan government on how to optimize current policy strategies to reduce the impact of the COVID-19 pandemic. |
| Keyword 1 | COVID-19 |
| Keyword 2 | Kenya |
| Keyword 3 (optional) | Cross-sectional |
| Keyword 4 (optional) | Behaviours |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Kenya |
| Additional countries | No |
| Target completion date (optional) | 30-09-2020 |
| Entry Date | 24-07-2020 13:49 |