Shifting Mindsets: The Impact of a Patient Portal on Functioning and Recovery in a Mental Health Setting.

OBJECTIVE: This study aims to understand whether higher use of a patient portal can have an impact on mental health functioning and recovery. METHOD: A mixed methods approach was used for this study. In 2019-2021, patients with mental health diagnoses at outpatient clinics in an academic centre were invited to complete World Health Organization Disability Assessment Scale 12 (WHODAS-12) and Mental Health Recovery Measure surveys at baseline, 3 months, and 6 months after signing up for the portal. At the 3-month time point, patients were invited to a semistructured interview with a member of the team to contextualize the findings obtained from the surveys. Analytics data was also collected from the platform to understand usage patterns on the portal. RESULTS: Overall, 113 participants were included in the analysis. There was no significant change in mental health functioning and recovery scores over the 6-month period. However, suboptimal usage was observed as 46% of participants did not complete any tasks within the portal. Thirty-five participants had low use of the portal (1-9 interactions) and 18 participants had high usage (10+ interactions). There were also no differences in mental health functioning and recovery scores between low and high users of the portal. Qualitative interviews highlighted many opportunities where the portal can support overall functioning and mental health recovery. CONCLUSIONS: Collectively, this study suggests that higher use of a portal had no impact, either positive or negative, on mental health outcomes. While it may offer convenience and improved patient satisfaction, adequate support is needed to fully enable these opportunities for patient care. As the type of interaction with the portal was not specifically addressed, future work should focus on looking at ways to support patient engagement and portal usage throughout their care journey.

Utilizing an Informatics Engagement Strategy as an Approach to Sustain and Retain the Nursing Workforce.

The purpose of this paper is to describe a nursing informatics engagement strategy at an academic teaching hospital in Canada aimed at sustaining and retaining the nursing workforce by (1) enhancing nursing engagement and leadership in informatics decision making; (2) improving nurses' experiences using the electronic health record (EHR) by creating a process of rapid handling of technology issues; (3) leveraging data about nurses' EHR system use to identify opportunities to further streamline documentation; and (4) enhancing and optimizing informatics education/training and communication strategies. The nursing informatics strategy aims to improve engagement among nursing staff, as well as decrease the burden of using the EHR as a way of addressing possible causes of burnout.

Recommendations to Enhance Physical Health for Individuals with Severe Mental Illness in Canadian Healthcare Organizations.

As Canadians with severe mental illness remain underserved and experience a high burden of physical health challenges and premature mortality, there is an unprecedented need to provide better physical healthcare to this population. Ways of addressing this gap include the delivery of physical healthcare in mental health settings ("reverse integration"). However, there is limited guidance on how to enact this integration. In this article, we outline the development of an integrated care strategy in Canada's largest mental health hospital and discuss system- and policy-level recommendations that healthcare organizations could consider in their initiatives.

Household composition and anxiety symptoms during the COVID-19 pandemic: A population-based study.

INTRODUCTION: Household composition may be an important factor associated with anxiety during the COVID-19 pandemic as people spend more time at home due to physical distancing and lockdown restrictions. Adults living with children-especially women-may be particularly vulnerable to anxiety as they balance additional childcare responsibilities and homeschooling with work. The objective of this study was to examine the association between household composition and anxiety symptoms during the COVID-19 pandemic and explore gender as an effect modifier. METHODS: Data were derived from seven waves of a national online survey of Canadian adults aged 18+ years from May 2020 to March 2021, which used quota sampling by age, gender, and region proportional to the English-speaking Canadian population (n = 7,021). Multivariable logistic and modified least-squares regression models were used. RESULTS: Compared to those living alone, significantly greater odds of anxiety symptoms were observed among single parents/guardians (aOR = 2.00; 95%CI: 1.41-2.84), those living with adult(s) and child(ren) (aOR = 1.39; 95%CI: 1.10-1.76), and those living with adult(s) only (aOR = 1.22; 95%CI: 1.00-1.49). Gender was a significant effect modifier on the additive scale (p = 0.0487) such that the association between living with child(ren) and anxiety symptoms was stronger among men than women. CONCLUSION: Additional tailored supports are needed to address anxiety among adults living with children-especially men-during the COVID-19 pandemic and future infectious disease events.

Accuracy of Physician Electronic Health Record Usage Analytics using Clinical Test Cases.

Usage log data are an important data source for characterizing the potential burden related to use of the electronic health record (EHR) system. However, the utility of this data source has been hindered by concerns related to the real-world validity and accuracy of the data. While time-motion studies have historically been used to address this concern, the restrictions caused by the pandemic have made it difficult to carry out these studies in-person. In this regard, we introduce a practical approach for conducting validation studies for usage log data in a controlled environment. By developing test runs based on clinical workflows and conducting them within a test EHR environment, it allows for both comparison of the recorded timings and retrospective investigation of any discrepancies. In this case report, we describe the utility of this approach for validating our physician EHR usage logs at a large academic teaching mental health hospital in Canada. A total of 10 test runs were conducted across 3 days to validate 8 EHR usage log metrics, finding differences between recorded measurements and the usage analytics platform ranging from 9 to 60%.

Identifying and adapting interventions to reduce documentation burden and improve nurses' efficiency in using electronic health record systems (The IDEA Study): protocol for a mixed methods study.

BACKGROUND: Although EHR systems have become a critical part of clinical care, nurses are experiencing a growing burden due to documentation requirements, taking time away from other important clinical activities. There is a need to address the inefficiencies and challenges that nurses face when documenting in and using EHRs. The objective of this study is to engage nurses in generating ideas on how organizations can support and optimize nurses' experiences with their EHR systems, thereby improving efficiency and reducing EHR-related burden. This work will ensure the identified solutions are grounded in nurses' perspectives and experiences and will address their specific EHR-related needs. METHODS: This mixed methods study will consist of three phases. Phase 1 will evaluate the accuracy of the EHR system's analytics platform in capturing how nurses utilize the system in real-time for tasks such as documentation, chart review, and medication reconciliation. Phase 2 consists of a retrospective analysis of the nursing-specific analytics platform and focus groups with nurses to understand and contextualize their usage patterns. These focus groups will also be used to identify areas for improvement in the utilization of the EHR. Phase 3 will include focus groups with nurses to generate and adapt potential interventions to address the areas for improvement and assess the perceived relevance, feasibility, and impact of the potential interventions. DISCUSSION: This work will generate insights on addressing nurses' EHR-related burden and burnout. By understanding and contextualizing inefficiencies and current practices, opportunities to improve EHR systems for nursing professional practice will be identified. The study findings will inform the co-design and implementation of interventions that will support adoption and impact. Future work will include the evaluation of the developed interventions, and research on scaling and disseminating the interventions for use in different organizations, EHR systems, and jurisdictions in Canada.

The Impact of the COVID-19 Pandemic on Physician Electronic Health Record Use and Burden at a Canadian Mental Health Hospital.

The COVID-19 Pandemic has significantly changed the delivery of care through new workflows and models of care. However, the impact of these changes on the usage of electronic health record (EHR) systems remains unclear. This mixed method study aims to understand how EHR usage patterns changed between the pandemic onset and the pre-pandemic period at a Canadian mental health hospital, using an analysis of EHR usage log data and a qualitative focus group. An increase in after-hours EHR usage and documentation time per patient was observed, as well as a decrease in order time. Virtual care (VC) use also had an impact on time spent per patient within the EHR and after-hours EHR usage. Qualitative results highlighted physician concerns related to VC workflows and documentation, which contributed to additional EHR burden. Future work should focus on different contexts and developing relevant interventions to address these issues.

Planning for the Future of Digital Mental Health in Canada: Priorities of Canadians Affected by Mental Health Conditions.

Digital mental health tools have the potential to support people affected by mental health conditions. A pan-Canadian survey was conducted to understand the current and future digital health needs. The results show that Canadians prioritized tools that support them in navigating the physical and digital mental healthcare systems and that are integrated into their care.

Canadian perspectives of digital mental health supports: Findings from a national survey conducted during the COVID-19 pandemic.

Objectives: The impact of the COVID-19 pandemic on population mental health has highlighted the potential for digital mental health to support the needs of those requiring care. This study sought to understand the digital mental health experiences and priorities of Canadians affected by mental health conditions (i.e. seekers, patients, and care partners). Methods: A national cross-sectional electronic survey of Canadians was administered through a market research firm's survey panel. Seekers, patients, and care partners were asked about their digital mental health experiences (e.g. uptake, barriers to access) and priorities. Survey responses were summarized using descriptive statistics. Results: Overall, 1003 participants completed the survey. 70.2% of participants routinely use digital mental health supports to support themselves or those they care for; however, only 28.6% of participants are satisfied with the available digital mental health supports. Most participants (73.3%) have encountered some barriers when accessing digital mental health supports. Awareness of digital mental health supports was a top barrier identified by participants. The top digital mental health priorities consisted of digital mental health curation, navigation, and a digital mental health passport. Conclusions: Most participants use digital mental health supports for themselves or others, however, many are unaware of digital mental health supports available. Efforts to improve navigating access to digital and in-person mental health services are seen as a top priority, highlighting the need to enable seekers, patients, and care partners to find the appropriate support and make decisions on how to best improve their mental health.

Tackling the Burden of Electronic Health Record Use Among Physicians in a Mental Health Setting: Physician Engagement Strategy.

The burden associated with using the electronic health record system continues to be a critical issue for physicians and is potentially contributing to physician burnout. At a large academic mental health hospital in Canada, we recently implemented a Physician Engagement Strategy focused on reducing the burden of electronic health record use through close collaboration with clinical leadership, information technology leadership, and physicians. Built on extensive stakeholder consultation, this strategy highlights initiatives that we have implemented (or will be implementing in the near future) under four components: engage, inspire, change, and measure. In this viewpoint paper, we share our process of developing and implementing the Physician Engagement Strategy and discuss the lessons learned and implications of this work.

Age differences in the association between loneliness and anxiety symptoms during the COVID-19 pandemic.

Loneliness and associated mental health problems are of particular concern during the COVID-19 pandemic due to physical distancing and lockdown restrictions. Loneliness is most common among young adults and women during the pandemic, but it is unclear if the association between loneliness and mental health problems, notably anxiety, is strongest in these groups. The objective of this study was to examine whether the association between loneliness and anxiety differed by age and/or gender during the pandemic. We analyzed data from a multi-wave national online survey of Canadians aged 18+ years from May 2020 to March 2021 (n = 7,021). Multivariable modified least-squares regression was used to examine whether the association between loneliness and moderate to severe anxiety symptoms (GAD-7 10+) differed by age and/or gender on the additive scale, controlling for socio-demographic factors, depression, hopefulness, and survey wave. Age significantly moderated the association between loneliness and anxiety symptoms while gender did not. Loneliness was associated with anxiety symptoms for all age groups, but the association was not as strong among those aged 70+ years compared to other age groups. Evidence-based loneliness interventions that target younger adults are needed to mitigate the mental health effects of infectious disease events such as COVID-19.

Daily cannabis use during the novel coronavirus disease (COVID-19) pandemic in Canada: a repeated cross-sectional study from May 2020 to December 2020.

BACKGROUND: Daily cannabis use is most strongly implicated in the cannabis-attributable burden of disease. In the context of the novel coronavirus disease (COVID-19) pandemic in Canada, we characterized trends in daily cannabis use in the overall sample and various population subgroups, and examined risk characteristics associated with daily cannabis use. METHODS: A cross-sectional design was operationalized using data from six waves of a national, online survey of adults residing in Canada who spoke English (N = 6,021; May-08 2020 to December-01 2020). Trends were characterized using the Cochran-Armitage test and risk characteristics were identified using chi-square test and logistic regression analysis. RESULTS: Daily cannabis use in the overall sample remained stable (5.34% - 6.10%; p = 0.30). This pattern of findings extended to various population subgroups as well. The odds of daily cannabis use were higher for those who: were males (Odds Ratio; 95% Confidence Interval: 1.46; 1.15 - 1.85), were between 18 - 29 years (2.36; 1.56 - 3.57), 30 - 39 years (2.65; 1.93 - 3.64) or 40-49 years (1.74; 1.19 - 2.54), self-identified as white (1.97; 1.47 - 2.64), had less than college or university completion (1.78; 1.39 - 2.28), engaged in heavy episodic drinking (2.05; 1.62 - 2.61), had a job that increased the risk of contracting COVID-19 (1.38; 1.01 - 1.88), experienced loneliness 5-7 days in the past week (1.86; 1.26 - 2.73) and felt very worried (2.08; 1.21 - 3.58) or somewhat worried (1.83; 1.11 - 3.01) about the pandemic's impact on their financial situation. CONCLUSIONS: Daily cannabis use did not change in the overall sample or various population subgroups during the pandemic. Pandemic-related risks and impacts were associated with daily cannabis use.

Changes in Alcohol Consumption in Canada During the COVID-19 Pandemic: Associations With Anxiety and Self-Perception of Depression and Loneliness.

AIM: To examine whether changes in alcohol consumption in Canada since the start of the novel coronavirus disease (COVID-19) pandemic are associated with feelings of anxiety, depression, loneliness and/or with changes in employment due to COVID-19. METHODS: Data collection occurred between 29 May 2020 and 23 March 2021 via a web panel, AskingCanadians, which sampled 5892 adults (≥18 years of age). Data were collected on changes in alcohol consumption compared to before the pandemic (ordinal variable ranging from 1='much less alcohol' to 5='much more alcohol'), anxiety (General Anxiety Disorder-7), self-perceived depression (Center for Epidemiologic Studies Depression Scale), self-perceived loneliness, changes in employment status due to COVID-19 and socio-demographic variables (age, gender, living situation, household income and urban vs rural residence). Multivariate associations were assessed using ordinal logistic regression. Effect modification by gender was tested using likelihood-ratio tests. RESULTS: Changes in alcohol consumption were positively associated with anxiety, feeling depressed and loneliness. In particular, people with mild to moderate (ordered Odds Ratio (OR):1.23, 95% Confidence Interval (CI):1.07, 1.62) or severe anxiety (ordered OR:1.49, 95% CI:1.15, 1.93) had a greater odds of increased drinking than did people with no to low levels of anxiety. Gender, age, household income, living situation and survey wave were also associated with changes in drinking. No effect modifications by gender were observed. CONCLUSION: Given the health harms caused by alcohol use, public health practitioners and primary care physicians should focus health messaging to identify and support individuals at risk of increased alcohol consumption, especially people experiencing depression, loneliness or anxiety.

Strategies to Reduce Electronic Health Record Related Burnout Among Nurses.

The introduction of electronic health records (EHR) systems can have a profound impact on the daily clinical activities of nurses. Recent studies have suggested that the adoption of EHR systems may have contributed to burnout among nurses. This poster presentation will explore potential strategies to address the emerging issue of burnout associated with EHR systems in nurses.

Patient and Family Engagement Approaches for Digital Health Initiatives: Protocol for a Case Study.

BACKGROUND: Digital health initiatives such as patient portals, virtual care platforms, and smartphone-based apps are being implemented at a rapid pace in health care organizations worldwide. This is often done to improve access beyond traditional in-person care and enhance care quality. Recent studies have indicated that better outcomes of using these initiatives and technologies may be achieved when patients and their family members are engaged in all aspects of planning, implementation, use, and evaluation. However, little guidance exists for how health care administrators can achieve effective engagement in digital health initiatives specifically. OBJECTIVE: The objective of this study is to document processes related to planning and implementing patient and family engagement (PFE) in digital health initiatives. This information will be used to develop tangible resources (eg, a field guide) that other organizations can use to implement PFE approaches for digital health initiatives in their organizations. METHODS: A previously developed multidimensional conceptual framework for PFE in health and health care contexts will be used to guide this work. To understand the intricacies involved in using PFE approaches in digital health strategies, a case study will be conducted. More specifically, this work will employ an embedded single-case design with PFE in digital health initiatives at a large Canadian mental health and addictions teaching hospital. Multiple digital health projects being undertaken at the study site will be explored to better understand where the PFE is intended to support the design, implementation, and operation of the digital health platform or technology. These projects will form the individual units of analysis. Data collection will involve field notes and artifact collection by a participant observer and interviews with the various digital health project teams. Data analysis will include a content and thematic analysis, triangulation of the findings, and a chronological mapping of data to a PFE process. RESULTS: Funding for this work was provided by the Canadian Institutes of Health Research (CIHR), via a Health System Impact Fellowship. As of August 2020, digital health projects that will form the case study units have been identified, and the participant observer has started to embed themselves into these projects. Although the development and collection of field notes and artifacts, respectively, have begun, interviews have not been conducted. The study is expected to conclude in September 2021. Once this study is complete, the development of a field guide and resources to support the uptake of PFE strategies in digital health will begin. CONCLUSIONS: By better understanding the processes involved in PFE in digital health projects, guidance can be provided to relevant stakeholders and organizations about how to do this work in an effective manner. It is then anticipated that with the increasing use of PFE approaches, there may be improved uptake, experience, and outcomes associated with using digital health technologies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/24274.

Digitization of Measurement-Based Care Pathways in Mental Health Through REDCap and Electronic Health Record Integration: Development and Usability Study.

BACKGROUND: The delivery of standardized self-report assessments is essential for measurement-based care in mental health. Paper-based methods of measurement-based care data collection may result in transcription errors, missing data, and other data quality issues when entered into patient electronic health records (EHRs). OBJECTIVE: This study aims to help address these issues by using a dedicated instance of REDCap (Research Electronic Data Capture; Vanderbilt University)-a free, widely used electronic data capture platform-that was established to enable the deployment of digitized self-assessments in clinical care pathways to inform clinical decision making. METHODS: REDCap was integrated with the primary clinical information system to facilitate the real-time transfer of discrete data and PDF reports from REDCap into the EHR. Both technical and administrative components were required for complete implementation. A technology acceptance survey was also administered to capture physicians' and clinicians' attitudes toward the new system. RESULTS: The integration of REDCap with the EHR transitioned clinical workflows from paper-based methods of data collection to electronic data collection. This resulted in significant time savings, improved data quality, and valuable real-time information delivery. The digitization of self-report assessments at each appointment contributed to the clinic-wide implementation of the major depressive disorder integrated care pathway. This digital transformation facilitated a 4-fold increase in the physician adoption of this integrated care pathway workflow and a 3-fold increase in patient enrollment, resulting in an overall significant increase in major depressive disorder integrated care pathway capacity. Physicians' and clinicians' attitudes were overall positive, with almost all respondents agreeing that the system was useful to their work. CONCLUSIONS: REDCap provided an intuitive patient interface for collecting self-report measures and accessing results in real time to inform clinical decisions and an extensible backend for system integration. The approach scaled effectively and expanded to high-impact clinics throughout the hospital, allowing for the broad deployment of complex workflows and standardized assessments, which led to the accumulation of harmonized data across clinics and care pathways. REDCap is a flexible tool that can be effectively leveraged to facilitate the automatic transfer of self-report data to the EHR; however, thoughtful governance is required to complement the technical implementation to ensure that data standardization, data quality, patient safety, and privacy are maintained.

The association between COVID-19 diagnosis or having symptoms and anxiety among Canadians: A repeated cross-sectional study.

BACKGROUND: The mental health effects of being diagnosed with COVID-19 are unknown. The present study examined whether individuals or those with someone close to them with a COVID-19 diagnosis differentially experienced anxiety during the pandemic. METHODS: Four web-based repeated cross-sectional surveys were conducted among Canadians aged 18 and older (n = 4015) regarding the impact of COVID-19 on mental health between May 8th and July 14th, 2020. Data on sociodemographic, COVID-19 symptoms/diagnoses for self or someone close, and anxiety were collected. Multiple logistic regression analyses were performed controlling for potential confounders. RESULTS: Anxiety among individuals affected by the pandemic remained stable over time. Individuals or those with someone close diagnosed with COVID-19 had greater odds of having anxiety (OR = 1.55; 95%CI 1.12, 2.14) compared to those who had not been diagnosed (self or close other) with COVID-19. Individuals or those with someone close to them who had symptoms of COVID-19 had greater odds of having anxiety (OR = 2.08; 95%CI 1.51, 2.87) compared to those who did not report symptoms (self or close other). CONCLUSIONS: This evidence highlights the importance of targeted psychosocial interventions for those directly impacted by the COVID-19 virus.

EHR "SWAT" teams: a physician engagement initiative to improve Electronic Health Record (EHR) experiences and mitigate possible causes of EHR-related burnout.

This case report describes an initiative implemented to improve physicians' experience with Electronic Health Records (EHRs), and is one of several strategies within our organization developed to reduce physician burnout attributed to the EHR. The EHR SWAT Team-a 10-member team-with interdisciplinary representation from clinical informatics, pharmacy informatics, health information management, clinical applications, and project management, is a direct feedback channel for all physicians to express their EHR challenges and have their requests reviewed, prioritized, and fixed in a timely manner. Through in-person divisional meetings, we gathered 118 requests, 36.4% of which were related to re-education and 17% of which were quick fixes. Popular requests included keyword search functionality, minimizing freezing, auto-faxing and auto-save. Our brief evaluation of 46 physicians demonstrated that physicians were satisfied with the initiative, with 61.3% physicians reporting that it increased their proficiency in using EHR functionalities. Lessons learned from this initiative include the importance of buy-in from Information Technology (IT) and physician leadership, extensive physician engagement, and leveraging project management techniques for coordination. Next steps include measuring the impact of this SWAT initiative on EHR-related burnout through a post-intervention organizational wide survey and objective back-end usage logs.

Household- and employment-related risk factors for depressive symptoms during the COVID-19 pandemic.

OBJECTIVES: The COVID-19 pandemic has generated multiple psychological stressors, which may increase the prevalence of depressive symptoms. Utilizing Canadian survey data, this study assessed household- and employment-related risk factors for depressive symptoms during the pandemic. METHODS: A sample of 1005 English-speaking Canadian adults aged 18+ years completed a web-based survey after physical distancing measures were implemented across Canada. Hierarchical binary logistic regression analyses were conducted to examine the associations of depressive symptoms with household- (household size, presence of children, residence locale) and employment-related (job with high risk of COVID-19 exposure, working from home, laid off/not working, financial worry) risk factors, controlling for demographic factors (gender, age, education, income). RESULTS: About 20.4% of the sample reported depressive symptoms at least 3 days per week. The odds of experiencing depressive symptoms 3+ days in the past week were higher among women (AOR = 1.67, p = 0.002) and younger adults (18-29 years AOR = 2.62, p < 0.001). After adjusting for demographic variables, the odds of experiencing depressive symptoms were higher in households with 4+ persons (AOR = 1.88, p = 0.01), in households with children aged 6 to 12 years (AOR = 1.98, p = 0.02), among those with a job at high risk for exposure to COVID-19 (AOR = 1.82, p = 0.01), and those experiencing financial worry due to COVID-19 ('very worried' AOR = 8.00, p < 0.001). CONCLUSION: Pandemic responses must include resources for mental health interventions. Additionally, further research is needed to track mental health trajectories and inform the development, targeting, and implementation of appropriate mental health prevention and treatment interventions.

RéSUMé: OBJECTIF: La pandémie de COVID-19 a engendré de multiples facteurs de stress psychologique qui peuvent faire augmenter la prévalence des symptômes de dépression. Cette étude se fonde sur les résultats de sondages auprès de Canadien.ne.s pour évaluer les facteurs de risque liés à l'emploi et dans les ménages qui prédisposent aux symptômes de dépression pendant la pandémie. MéTHODE: Un échantillon de 1 005 Canadien.ne.s anglophones âgé.e.s de 18 ans ou plus ont rempli un sondage en ligne après l'imposition des mesures de distanciation physique partout au Canada. Une analyse de régression logistique binaire de type hiérarchique a permis d'établir les liens entre les symptômes de dépression et certains facteurs de risque dans les ménages (nombre de membres, présence d'enfants, localité de la résidence) ainsi que des facteurs de risque liés à l'emploi (emploi comportant un risque élevé d'exposition à la COVID-19, télétravail, mise à pied ou chômage, soucis financiers), après un contrôle des facteurs démographiques (sexe, âge, niveau d'éducation, revenu). RéSULTATS: Environ 20,4 % des répondant.e.s ont dit avoir eu des symptômes de dépression au moins trois jours par semaine. La probabilité d'avoir des symptômes de dépression trois jours ou plus au cours de la semaine écoulée est plus élevée pour les femmes (rapport de cotes ajusté, ou RCA = 1,67, p = 0,002) et les jeunes adultes (18 à 29 ans, RCA = 2,62, p < 0,001). Après réajustement des variables démographiques, cette probabilité est plus élevée pour les ménages de quatre personnes ou plus (RCA = 1,88, p = 0,01) et ceux ayant des enfants de 6 à 12 ans (RCA = 1,98, p = 0,02), ainsi que pour les personnes dont l'emploi comporte un risque élevé d'exposition à la COVID-19 (RCA = 1,82, p = 0,01), et celles éprouvant des soucis financiers à cause de la COVID-19 (« très inquiet ¼, RCA = 8,00, p < 0,001). CONCLUSION: Les ressources d'intervention en santé mentale doivent faire partie des mesures de lutte contre la pandémie. De plus, des recherches approfondies s'imposent afin de suivre l'évolution de la santé mentale des Canadien.ne.s et de guider l'élaboration, le ciblage et la mise en œuvre de mesures appropriées de prévention et de traitement des problèmes de santé mentale.

Loneliness in the COVID-19 pandemic: Associations with age, gender and their interaction.

Loneliness is associated with mental health and thus is of particular concern in the COVID-19 pandemic, due to physical distancing restrictions and shelter-in-place orders. The current study assessed the associations of age, gender and their interaction with loneliness during the COVID-19 pandemic, controlling for other sociodemographic variables. A pooled sample of 3,012 English-speaking Canadian adults aged 18+ years completed a web-based survey in one of three waves between May 8 and June 23, 2020. Multivariable logistic regression was used to examine the associations of loneliness with age and gender controlling for marital status, household income, education, living alone, employment situation, and survey wave. A likelihood ratio test assessed the model with interaction between age and gender included. Approximately 8.4% of the sample reported feeling lonely 5+ days in the past week. The regression model with main effects found greater odds of loneliness among women than men (AOR = 1.76, 95%CI = 1.32, 2.34) and among all age groups younger than 60 years compared to those aged 60+ years (p = 0.002). In the final regression model, a significant interaction effect between age and gender on loneliness was found. The interaction showed that women had greater odds of loneliness than men among those aged 18-29 years (AOR = 3.53, 95%CI = 1.69, 7.37) and 60+ years (AOR = 2.62, 95%CI = 1.33, 5.17). Special consideration of loneliness among younger and older adult women is needed in service planning. Given inconsistencies with pre-pandemic studies, detailed data collected during the current crisis is essential to inform proactive resource allocation to prevent and treat mental health consequences of the pandemic.