A longitudinal qualitative study on physician experience in managing multimorbidity across the COVID-19 pandemic in Odisha, India.

While many studies have documented adverse impact of multiple chronic conditions or multimorbidity on COVID-19 outcomes in patients, there is scarcity of report on how physicians managed these patients. We investigated the experiences and challenges of clinicians in managing patients with multimorbidity throughout the COVID-19 pandemic in Odisha state, India. To understand the factors influencing illness management and the adaptive responses of physicians alongside the evolving pandemic, we followed a longitudinal qualitative study design. Twenty-three physicians comprising general practitioners, specialists, and intensivists, were telephonically interviewed in-depth. Saldana's longitudinal qualitative data analysis method was employed for data analysis. COVID-19 pandemic initially diverted the attention of health systems, resulting in reduced care. With time, the physicians overcame fear, anxiety, and feelings of vulnerability to COVID-19 and started prioritising patients with multimorbidity for treatment and vaccination. All physicians recommended teleconsultation and digital health records to benefit chronic illness care during future public health crises. The findings underscore the transformative potential of physician resilience and adaptation during the COVID-19 pandemic, emphasizing the importance of prioritizing patients with multimorbidity, incorporating teleconsultation, and implementing digital health records in healthcare systems to enhance chronic illness care and preparedness for future public health crises.

The prevalence of suicidal behavior and ideation during pregnancy and postpartum period, its variation in the COVID-19 pandemic, and the related factors: A systematic review and meta-analysis of observational studies

Bacground Pregnancy and postpartum are sensitive periods for mental health problems due to increased stressors and demands, and the prevalence of intentional self-harming behaviors such as suicidal behavior and ideation may increase. Changes in the provision of prenatal care services and utilization of health services and adverse living conditions during the COVID-19 epidemic may also trigger or exacerbate mental illnesses. Aims To investigate the prevalence of suicidal behavior and ideation encountered during pregnancy and postpartum period, its change in the COVID-19 pandemic, and the related factors. Methods A systematic review and meta-analysis of observational studies was conducted. A search was conducted in April 2021 and updated in April 2023 on Web of Science, PubMed, PsycINFO, EBSCO, Turk Medline, Turkish Clinics, and ULAKBIM databases. Two authors independently conducted the search, selection of articles, data extraction, and quality assessment procedures, and an experienced researcher controlled all these steps. Joanna Briggs Institute's Critical Appraisal Checklists were used to assess the quality of the studies. Results The meta-analysis included 38 studies and the total sample size of the studies was 9 044 991. In this meta-analysis, the prevalence of suicidal behavior in women during pregnancy and postpartum periods was 5.1 % (95 % CI, 0.01–1.53), suicidal ideation 7.2 % (95 % CI, 0.03–0.18), suicide attampt 1 % (95 % CI, 0.00–0.07) and suicidal plan 7.8 % (95 % CI, 0.06–0.11). Rate of suicidal behavior, ideation/thought increased and attempts in the pandemic process (2.5% vs 19.7 %; 6.3% vs 11.3 %; 3.6% vs 1.4 %, respectively). Prevalences of suicidal behavior, ideation, attempts, and plan in the postpartum period was higher than during pregnancy (1.1% vs 23.4 %; 6.1% vs 9.2 %; 0.5% vs 0.7 %; 7.5% vs 8.8 %, respectively). ... (AU)

Informing evidence-based policy during the COVID-19 pandemic and recovery period: learning from a national evidence centre.

BACKGROUND: The COVID-19 pandemic demonstrated the vital need for research to inform policy decision-making and save lives. The Wales COVID-19 Evidence Centre (WCEC) was established in March 2021 and funded for two years, to make evidence about the impact of the pandemic and ongoing research priorities for Wales available and actionable to policy decision-makers, service leads and the public. OBJECTIVES: We describe the approaches we developed and our experiences, challenges and future vision. PROGRAM IMPLEMENTATION: The centre operated with a core team, including a public partnership group, and six experienced research groups as collaborating partners. Our rapid evidence delivery process had five stages: 1. Stakeholder engagement (continued throughout all stages); 2. Research question prioritisation; 3. Bespoke rapid evidence review methodology in a phased approach; 4. Rapid primary research; and 5. Knowledge Mobilisation to ensure the evidence was available for decision-makers. MAIN ACHIEVEMENTS: Between March 2021-23 we engaged with 44 stakeholder groups, completed 35 Rapid Evidence Reviews, six Rapid Evidence Maps and 10 Rapid Evidence Summaries. We completed four primary research studies, with three published in peer reviewed journals, and seven ongoing. Our evidence informed policy decision-making and was cited in 19 Welsh Government papers. These included pandemic infection control measures, the Action Plan to tackle gender inequalities, and Education Renew and Reform policy. We conducted 24 Welsh Government evidence briefings and three public facing symposia. POLICY IMPLICATIONS: Strong engagement with stakeholder groups, a phased rapid evidence review approach, and primary research to address key gaps in current knowledge enabled high-quality efficient, evidence outputs to be delivered to help inform Welsh policy decision-making during the pandemic. We learn from these processes to continue to deliver evidence from March 2023 as the Health and Care Research Wales Evidence Centre, with a broader remit of health and social care, to help inform policy and practice decisions during the recovery phase and beyond.

Research on the global trends of COVID-19 associated acute kidney injury: a bibliometric analysis.

Critically ill COVID-19 patients may exhibit various clinical symptoms of renal dysfunction including severe Acute Kidney Injury (AKI). Currently, there is a lack of bibliometric analyses on COVID-19-related AKI. The aim of this study is to provide an overview of the current research status and hot topics regarding COVID-19 AKI. The literature was retrieved from the Web of Science Core Collection (WoSCC) database. Subsequently, we utilized Microsoft Excel, VOSviewer, Citespace, and Pajek software to revealed the current research status, emerging topics, and developmental trends pertaining to COVID-19 AKI. This study encompassed a total of 1507 studies on COVID-19 AKI. The United States, China, and Italy emerged as the leading three countries in terms of publication numbers, contributing 498 (33.05%), 229 (15.20%), and 140 (9.29%) studies, respectively. The three most active and influential institutions include Huazhong University of Science and Technology, Wuhan University and Harvard Medical School. Ronco C from Italy, holds the record for the highest number of publications, with a total of 15 papers authored. Cheng YC's work from China has garnered the highest number of citations, totaling 470 citations. The co-occurrence analysis of author keywords reveals that 'mortality', 'intensive care units', 'chronic kidney disease', 'nephrology', 'renal transplantation', 'acute respiratory distress syndrome', and 'risk factors' emerge as the primary areas of focus within the realm of COVID-19 AKI. In summary, this study analyzes the research trends in the field of COVID-19 AKI, providing a reference for further exploration and research on COVID-19 AKI mechanisms and treatment.

Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility.

The growing prominence of artificial intelligence (AI) in mobile health (mHealth) has given rise to a distinct subset of apps that provide users with diagnostic information using their inputted health status and symptom information-AI-powered symptom checker apps (AISympCheck). While these apps may potentially increase access to health care, they raise consequential ethical and legal questions. This paper will highlight notable concerns with AI usage in the health care system, further entrenchment of preexisting biases in the health care system and issues with professional accountability. To provide an in-depth analysis of the issues of bias and complications of professional obligations and liability, we focus on 2 mHealth apps as examples-Babylon and Ada. We selected these 2 apps as they were both widely distributed during the COVID-19 pandemic and make prominent claims about their use of AI for the purpose of assessing user symptoms. First, bias entrenchment often originates from the data used to train AI systems, causing the AI to replicate these inequalities through a "garbage in, garbage out" phenomenon. Users of these apps are also unlikely to be demographically representative of the larger population, leading to distorted results. Second, professional accountability poses a substantial challenge given the vast diversity and lack of regulation surrounding the reliability of AISympCheck apps. It is unclear whether these apps should be subject to safety reviews, who is responsible for app-mediated misdiagnosis, and whether these apps ought to be recommended by physicians. With the rapidly increasing number of apps, there remains little guidance available for health professionals. Professional bodies and advocacy organizations have a particularly important role to play in addressing these ethical and legal gaps. Implementing technical safeguards within these apps could mitigate bias, AIs could be trained with primarily neutral data, and apps could be subject to a system of regulation to allow users to make informed decisions. In our view, it is critical that these legal concerns are considered throughout the design and implementation of these potentially disruptive technologies. Entrenched bias and professional responsibility, while operating in different ways, are ultimately exacerbated by the unregulated nature of mHealth.

Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data.

BACKGROUND: Construction and nursing are critical industries. Although both careers involve physically and mentally demanding work, the risks to workers during the COVID-19 pandemic are not well understood. Nurses (both younger and older) are more likely to experience the ill effects of burnout and stress than construction workers, likely due to accelerated work demands and increased pressure on nurses during the COVID-19 pandemic. In this study, we analyzed a large social media data set using advanced natural language processing techniques to explore indicators of the mental status of workers across both industries before and during the COVID-19 pandemic. OBJECTIVE: This social media analysis aims to fill a knowledge gap by comparing the tweets of younger and older construction workers and nurses to obtain insights into any potential risks to their mental health due to work health and safety issues. METHODS: We analyzed 1,505,638 tweets published on Twitter (subsequently rebranded as X) by younger and older (aged <45 vs >45 years) construction workers and nurses. The study period spanned 54 months, from January 2018 to June 2022, which equates to approximately 27 months before and 27 months after the World Health Organization declared COVID-19 a global pandemic on March 11, 2020. The tweets were analyzed using big data analytics and computational linguistic analyses. RESULTS: Text analyses revealed that nurses made greater use of hashtags and keywords (both monograms and bigrams) associated with burnout, health issues, and mental health compared to construction workers. The COVID-19 pandemic had a pronounced effect on nurses' tweets, and this was especially noticeable in younger nurses. Tweets about health and well-being contained more first-person singular pronouns and affect words, and health-related tweets contained more affect words. Sentiment analyses revealed that, overall, nurses had a higher proportion of positive sentiment in their tweets than construction workers. However, this changed markedly during the COVID-19 pandemic. Since early 2020, sentiment switched, and negative sentiment dominated the tweets of nurses. No such crossover was observed in the tweets of construction workers. CONCLUSIONS: The social media analysis revealed that younger nurses had language use patterns consistent with someone experiencing the ill effects of burnout and stress. Older construction workers had more negative sentiments than younger workers, who were more focused on communicating about social and recreational activities rather than work matters. More broadly, these findings demonstrate the utility of large data sets enabled by social media to understand the well-being of target populations, especially during times of rapid societal change.

[Generational differences in lifestyle changes among outpatients with cardiovascular disease during the coronavirus disease pandemic].

AIM: The coronavirus disease (COVID-19) pandemic has caused significant disruptions in various aspects of daily life. The Japanese Government declared a state of emergency in April 2020, which resulted in reduced physical activity. This study investigated the impact of these lifestyle changes by generation among outpatients with cardiovascular disease (CVD). METHODS: In autumn 2020, we conducted a questionnaire survey of 1,156 CVD outpatients who visited the Department of Cardiology at our institution. The survey collected data on physical activities and changes in daily behaviors over the course of the COVID-19 pandemic. Participants were classified into 3 age groups: middle-aged (n=114, ≤64 years old), semi-old (n=330, aged 65-74 years old), and old (n=712, ≥75 years old). The number of steps per day and sedentary time per day were compared between autumn 2019 and 2020, over the course of the pandemic. RESULTS: In autumn 2020, the number of steps per day was significantly decreased and sedentary time significantly increased in all age groups compared to the pre-pandemic levels. However, there were no significant differences in the extent of changes in steps per day or sedentary time over the study period across all age groups. Regarding changes in daily behaviors, only the old-age group reported a decline in volunteering and reduced utilization of daycare services. CONCLUSIONS: The COVID-19 pandemic has resulted in changes in daily activities and lifestyles across all age groups. Because lifestyle patterns differ across generations, it may be necessary to implement age-specific interventions and procedures.

Identifying how pre-existing resources combine to shape the experiences of work and family life of a diverse sample of working parents with at least one child in primary school in Scotland during COVID-19 pandemic-related social restrictions: a qualitative descriptive design.

OBJECTIVES: This study aimed to identify factors that shaped working parents (WPs') experiences of COVID-19-related social restrictions and analyse the relationships between those factors. DESIGN: A qualitative descriptive design was used to collect five time points of data including two online questionnaires and three telephone or online interviews between March 2021 and August 2021 with some follow-up interviews in December 2022. SETTING: The COVID-19 pandemic led to social restrictions which greatly impacted WPs who had to both work and look after their children within their home space without any formal childcare. PARTICIPANTS: 19 participants living in Scotland who had at least one child of primary school age and who had been working in March 2020. RESULTS: All parents were affected by social restrictions during the COVID-19 pandemic, with the flexibility of employers, their socioeconomic situation and the amount of space in their home environment being particularly influential. The impact of social restrictions was greater for lone parents (LPs) due to the inability to share childcare with another adult in the home. Parents in low-income households were affected due to pre-existing inequalities of resources. CONCLUSIONS: These findings indicate several policy options that could mitigate negative outcomes for parents in the case of a future pandemic, including options to lessen inequities experienced by LPs. These include priority access to school places (particularly for children with underlying chronic medical conditions), the ability to establish a 'support bubble' at the beginning of social restrictions and being given access to safe outside places for children without a garden.

Strategies to foster community engagement for epidemic and pandemic preparedness and response in sub-Saharan Africa: a scoping review protocol.

INTRODUCTION: The surge of public health emergencies over the past decade has disproportionately affected sub-Saharan Africa. These include outbreaks of infectious diseases such as Ebola, Monkeypox and COVID-19. Experience has shown that community participation is key to the successful implementation of infection control activities. Despite the pivotal role community engagement plays in epidemic and pandemic preparedness and response activities, strategies to engage communities have been underexplored to date, particularly in sub-Sahara Africa. Furthermore, reviews conducted have not included evidence from the latest pandemic, COVID-19. This scoping review aims to address these gaps by documenting through available literature, the strategies for community engagement for epidemic and pandemic preparedness and response in sub-Sahara Africa. METHODS AND ANALYSIS: We will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews and the methodological framework for scoping reviews from Arksey and O'Malley to guide the review. Two reviewers will develop a systematic search strategy to identify articles published from January 2014 to date. We will retrieve peer-reviewed research published in the English language from databases including Embase, EBSCO-host, PubMed, Global Health, CINAHL, Google Scholar and Web of Science. Additionally, we will search for relevant grey literature from the websites of specific international organisations, public health institutes and Government Ministries of Health in African countries. After the removal of duplicates, the two reviewers will independently screen all titles, abstracts and full articles to establish the relevance of each study for inclusion in the review. We will extract data from the included articles using a data extraction tool and present the findings in tabular form with an accompanying narrative to aid comprehension. ETHICS AND DISSEMINATION: Ethical approval is not required for the conduct of scoping reviews. We plan to disseminate the findings from this review through publications in a peer-reviewed journal, presentations at conferences and meetings with policy-makers.

See us, hear us! children, adolescents and families in Saskatchewan coping with mental health during the COVID-19 pandemic.

PURPOSE: To examine the lived experiences of children and adolescents coping with mental health issues and seeking mental health services in Saskatchewan during the COVID-19 pandemic. METHODS: In our descriptive phenomenological qualitative study, we interviewed forty-six individuals, including children aged 8-15 and their parents. Thematic analysis was applied to interpret the interview data. RESULTS: Our analysis identified three key themes: pyscho-behavioural impact, academic impact, and social impact. The pandemic adversely affected children due to factors like changes in behaviours such as increased screen time and decreased physical activity, limited access to mental health services, and disruptions to schooling and social interactions. Coping mechanisms varied, ranging from the utilization of available mental health supports and services to individual and family-based strategies. Disparities in timely access to mental health services were evident, with financially stable families accessing private services, while others struggled, particularly in rural areas. Families demonstrated resilience through parental efforts to seek balance and prioritize safety amidst COVID-19 challenges. CONCLUSIONS: Social connectedness served as a crucial buffer against pandemic-induced stress. Children faced difficulty in accessing timely mental health services and supports. Echoing participant experiences, our findings emphasize the urgency of targeted interventions and policy adjustments to address existing gaps in mental health service accessibility and availability.

Incidence, Risk, and Clinical Course of New-Onset Diabetes in Long COVID: Protocol for a Systematic Review and Meta-Analysis of Cohort Studies.

BACKGROUND: COVID-19, an infectious disease pandemic, affected millions of people globally, resulting in high morbidity and mortality. Causing further concern, significant proportions of COVID-19 survivors endure the lingering health effects of SARS-CoV-2, the pathogen that causes COVID-19. One of the diseases manifesting as a postacute sequela of COVID-19 (also known as "long COVID") is new-onset diabetes. OBJECTIVE: The aim of this study is to examine the incidence of new-onset diabetes in patients with long COVID and assess the excess risk compared with individuals who tested negative for COVID-19. The study also aims to estimate the population-attributable fraction for COVID-19 as a risk factor for new-onset diabetes in long COVID and investigate the clinical course of new-onset diabetes cases. METHODS: This is a protocol for a systematic review and meta-analysis. PubMed, MEDLINE, Embase, Scopus, and Web of Science databases will be systematically searched to identify articles published between December 2019 and July 2024. A comprehensive search strategy for each database will be developed using a combination of Medical Subject Headings terms, subject headings, and text words to identify eligible studies. Cohort studies and randomized controlled trials (only control arms) involving patients with COVID-19 of any age, with follow-up data on new-onset diabetes in long COVID, will be considered for inclusion. Controls will comprise individuals who tested negative for COVID-19, with or without other respiratory tract infections. Three independent reviewers (AST, NB, and TT) will perform article selection, data extraction, and quality assessment of the studies. A fourth reviewer (ST) will review the identified studies for final inclusion in the analysis. The random-effects DerSimonian-Laird models will be used to estimate the pooled incidence proportion (%), incidence rate of diabetes (per 1000 person-years), and risk ratio (with 95% CIs) for diabetes incidence. RESULTS: A total of 1972 articles were identified through the initial search conducted in August 2023. After excluding duplicates, conducting title and abstract screening, and completing full-text reviews, 41 articles were found to be eligible for inclusion. The search will be updated in July 2024. Currently, data extraction is underway, and the meta-analysis is expected to be completed in August 2024. Publication of the study findings is anticipated by the end of 2024. CONCLUSIONS: The study findings should provide valuable insights to inform both clinical practice and public health policies regarding the effective management of new-onset diabetes in patients with long COVID. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54853.

COVID-19 Vaccine Effectiveness and Digital Pandemic Surveillance in Germany (eCOV Study): Web Application-Based Prospective Observational Cohort Study.

BACKGROUND: The COVID-19 pandemic posed significant challenges to global health systems. Efficient public health responses required a rapid and secure collection of health data to improve the understanding of SARS-CoV-2 and examine the vaccine effectiveness (VE) and drug safety of the novel COVID-19 vaccines. OBJECTIVE: This study (COVID-19 study on vaccinated and unvaccinated subjects over 16 years; eCOV study) aims to (1) evaluate the real-world effectiveness of COVID-19 vaccines through a digital participatory surveillance tool and (2) assess the potential of self-reported data for monitoring key parameters of the COVID-19 pandemic in Germany. METHODS: Using a digital study web application, we collected self-reported data between May 1, 2021, and August 1, 2022, to assess VE, test positivity rates, COVID-19 incidence rates, and adverse events after COVID-19 vaccination. Our primary outcome measure was the VE of SARS-CoV-2 vaccines against laboratory-confirmed SARS-CoV-2 infection. The secondary outcome measures included VE against hospitalization and across different SARS-CoV-2 variants, adverse events after vaccination, and symptoms during infection. Logistic regression models adjusted for confounders were used to estimate VE 4 to 48 weeks after the primary vaccination series and after third-dose vaccination. Unvaccinated participants were compared with age- and gender-matched participants who had received 2 doses of BNT162b2 (Pfizer-BioNTech) and those who had received 3 doses of BNT162b2 and were not infected before the last vaccination. To assess the potential of self-reported digital data, the data were compared with official data from public health authorities. RESULTS: We enrolled 10,077 participants (aged ≥16 y) who contributed 44,786 tests and 5530 symptoms. In this young, primarily female, and digital-literate cohort, VE against infections of any severity waned from 91.2% (95% CI 70.4%-97.4%) at week 4 to 37.2% (95% CI 23.5%-48.5%) at week 48 after the second dose of BNT162b2. A third dose of BNT162b2 increased VE to 67.6% (95% CI 50.3%-78.8%) after 4 weeks. The low number of reported hospitalizations limited our ability to calculate VE against hospitalization. Adverse events after vaccination were consistent with previously published research. Seven-day incidences and test positivity rates reflected the course of the pandemic in Germany when compared with official numbers from the national infectious disease surveillance system. CONCLUSIONS: Our data indicate that COVID-19 vaccinations are safe and effective, and third-dose vaccinations partially restore protection against SARS-CoV-2 infection. The study showcased the successful use of a digital study web application for COVID-19 surveillance and continuous monitoring of VE in Germany, highlighting its potential to accelerate public health decision-making. Addressing biases in digital data collection is vital to ensure the accuracy and reliability of digital solutions as public health tools.

Mental Wellness Self-Care in Singapore With mindline.sg: A Tutorial on the Development of a Digital Mental Health Platform for Behavior Change.

BACKGROUND: Singapore, like the rest of Asia, faces persistent challenges to mental health promotion, including stigma around unwellness and seeking treatment and a lack of trained mental health personnel. The COVID-19 pandemic, which created a surge in mental health care needs and simultaneously accelerated the adoption of digital health solutions, revealed a new opportunity to quickly scale innovative solutions in the region. OBJECTIVE: In June 2020, the Singaporean government launched mindline.sg, an anonymous digital mental health resource website that has grown to include >500 curated local mental health resources, a clinically validated self-assessment tool for depression and anxiety, an artificial intelligence (AI) chatbot from Wysa designed to deliver digital therapeutic exercises, and a tailored version of the website for working adults called mindline at work. The goal of the platform is to empower Singapore residents to take charge of their own mental health and to be able to offer basic support to those around them through the ease and convenience of a barrier-free digital solution. METHODS: Website use is measured through click-level data analytics captured via Google Analytics and custom application programming interfaces, which in turn drive a customized analytics infrastructure based on the open-source platforms Titanium Database and Metabase. Unique, nonbounced (users that do not immediately navigate away from the site), engaged, and return users are reported. RESULTS: In the 2 years following launch (July 1, 2020, through June 30, 2022), the website received >447,000 visitors (approximately 15% of the target population of 3 million), 62.02% (277,727/447,783) of whom explored the site or engaged with resources (referred to as nonbounced visitors); 10.54% (29,271/277,727) of those nonbounced visitors returned. The most popular features on the platform were the dialogue-based therapeutic exercises delivered by the chatbot and the self-assessment tool, which were used by 25.54% (67,626/264,758) and 11.69% (32,469/277,727) of nonbounced visitors. On mindline at work, the rates of nonbounced visitors who engaged extensively (ie, spent ≥40 seconds exploring resources) and who returned were 51.56% (22,474/43,588) and 13.43% (5,853/43,588) over a year, respectively, compared to 30.9% (42,829/138,626) and 9.97% (13,822/138,626), respectively, on the generic mindline.sg site in the same year. CONCLUSIONS: The site has achieved desired reach and has seen a strong growth rate in the number of visitors, which required substantial and sustained digital marketing campaigns and strategic outreach partnerships. The site was careful to preserve anonymity, limiting the detail of analytics. The good levels of overall adoption encourage us to believe that mild to moderate mental health conditions and the social factors that underly them are amenable to digital interventions. While mindline.sg was primarily used in Singapore, we believe that similar solutions with local customization are widely and globally applicable.

Evaluation of a novel university-based testing platform to increase access to SARS-CoV-2 testing during the COVID-19 pandemic in a cohort study.

OBJECTIVE: We aimed to evaluate the feasibility and utility of an unsupervised testing mechanism, in which participants pick up a swab kit, self-test (unsupervised) and return the kit to an on-campus drop box, as compared with supervised self-testing at staffed locations. DESIGN: University SARS-CoV-2 testing cohort. SETTING: Husky Coronavirus Testing provided voluntary SARS-CoV-2 testing at a university in Seattle, USA. OUTCOME MEASURES: We computed descriptive statistics to describe the characteristics of the study sample. Adjusted logistic regression implemented via generalised estimating equations was used to estimate the odds of a self-swab being conducted through unsupervised versus supervised testing mechanisms by participant characteristics, including year of study enrolment, pre-Omicron versus post-Omicron time period, age, sex, race, ethnicity, affiliation and symptom status. RESULTS: From September 2021 to July 2022, we received 92 499 supervised and 26 800 unsupervised self-swabs. Among swabs received by the laboratory, the overall error rate for supervised versus unsupervised swabs was 0.3% vs 4%, although this declined to 2% for unsupervised swabs by the spring of the academic year. Results were returned for 92 407 supervised (5% positive) and 25 836 unsupervised (4%) swabs from 26 359 participants. The majority were students (79%), 61% were female and most identified as white (49%) or Asian (34%). The use of unsupervised testing increased during the Omicron wave when testing demand was high and stayed constant in spring 2022 even when testing demand fell. We estimated the odds of using unsupervised versus supervised testing to be significantly greater among those <25 years of age (p<0.001), for Hispanic versus non-Hispanic individuals (OR 1.2, 95% CI 1.0 to 1.3, p=0.01) and lower among individuals symptomatic versus asymptomatic or presymptomatic (0.9, 95% CI 0.8 to 0.9, p<0.001). CONCLUSIONS: Unsupervised swab collection permitted increased testing when demand was high, allowed for access to a broader proportion of the university community and was not associated with a substantial increase in testing errors.

Fostering the Facilitator: Promoting Clinical Educators' Interprofessional Education Facilitation Skills and Socialization Using Exclusively Online Learning.

Health professions educators can benefit from continuing education to more effectively facilitate interprofessional education (IPE) in clinical settings. Online learning formats enable broader participation and overcome barriers to in-person events, though few studies describe the most effective platforms and methods of online continuing education for this purpose. In the context of the COVID-19 pandemic, we developed a 6-week interactive online program implemented via an integrated online educational platform (OEP) to equip participants with knowledge and skills to better facilitate IPE in clinical settings. Program outcomes evaluation involved mixed-methods data analysis from OEP site usage statistics, pre/post-program surveys, pre/post program validated self-assessment surveys, and post-pro¬gram focus group. Twenty-four participants representing 5 professions from inpatient and outpatient clinical settings completed the program. Quantitative findings include statistically significant improvement in all of 11 measures of IPE knowledge and skills developed for this study, 4 of 9 socialization measures, and 7 of 18 facilitation measures. Qualitative findings include participants placing value on multiple modes of instruction, facilitated small group engagement, brief condensed asynchronous content, clear expectations of program time commitment, and detailed understanding of the OEP.

Effets de la pandémie de Covid-19 sur l'accès des personnes âgées aux soins de santé primaires dans la province d'Essaouira, Maroc.

INTRODUCTION: Older adults were among those who suffered most from the COVID-19 pandemic. In Morocco, where 64.4 percent of older adults suffer from a form of chronic illness, the main challenge facing local authorities was how to maintain essential care for this population group in the context of the pandemic. PURPOSE OF THE RESEARCH: The aim of the study was to determine the effects of the COVID-19 pandemic on older adults’ access to primary healthcare in the Essaouira Province (Morocco), with a view to ensuring the ongoing provision of healthcare for older adults during health emergencies. A longitudinal retrospective survey was conducted from October to December 2021 based on a structured questionnaire with a sample of 196 people aged sixty and above. The data obtained were compiled and analyzed using SPSS software (version 20.0). RESULTS: The COVID-19 pandemic has adversely affected older adults’ access to primary healthcare. Older adults’ use of primary healthcare services fell by 51.6 percent during the pandemic compared with the same periods in previous years. In addition, the measures taken to control the pandemic have had a negative impact on the quality of services offered to the survey participants. CONCLUSION: The COVID-19 pandemic resulted in significant changes in the operation of primary healthcare for older populations. The findings of this study provide a basis for anticipatory actions to improve the ongoing provision of healthcare for older adults in the context of health emergencies.

Differential impacts of health systems and sociocultural environment on vulnerable populations during the COVID-19 pandemic: lessons from four Asia-Pacific countries.

BACKGROUND: This study aims to evaluate healthcare systems and pandemic responses in relation to marginalized and vulnerable groups, identify populations requiring urgent care, and assess the differential impacts on their health during the pandemic. METHODS: Data were collected by the Asia-Pacific Observatory on Health Systems and Policies (APO)-National University of Singapore and APO-International Health Policy Program consortium members: Korea, Indonesia, Philippines, and Singapore. Data were collected through a combination of semi-structured interviews, policy document reviews, and analysis of secondary data. RESULTS: Our findings reveal that the pandemic exacerbated existing health disparities, particularly affecting older adults, women, and children. Additionally, the study identified LGBTI individuals, healthcare workers, slum dwellers, and migrant workers as groups that faced particularly severe challenges during the pandemic. LGBTI individuals encountered heightened discrimination and limited access to health services tailored to their needs. Healthcare workers suffered from immense stress and risk due to prolonged exposure to the virus and critical working conditions. Slum dwellers struggled with healthcare access and social distancing due to high population density and inadequate sanitation. Migrant workers were particularly hard hit by high risks of virus transmission and stringent, often discriminatory, isolation measures that compounded their vulnerability. The study highlights the variation in the extent and nature of vulnerabilities, which were influenced by each country's specific social environment and healthcare infrastructure. It was observed that public health interventions often lacked the specificity required to effectively address the needs of all vulnerable groups, suggesting a gap in policy and implementation. CONCLUSIONS: The study underscores that vulnerabilities vary greatly depending on the social environment and context of each country, affecting the degree and types of vulnerable groups. It is critical that measures to ensure universal health coverage and equal accessibility to healthcare are specifically designed to address the needs of the most vulnerable. Despite commonalities among groups across different societies, these interventions must be adapted to reflect the unique characteristics of each group within their specific social contexts to effectively mitigate the impact of health disparities.