Project description:ObjectivesThis contribution provides insights into the methodology of a pan-European population-based online survey, performed without external funding during the COVID-19 pandemic. We present the impact of different dissemination strategies to collect data from a non-probabilistic convenience sample and outline post-stratification weighting schemes, to provide guidance for future multi-country survey studies.MethodsDescription and comparison of dissemination strategies for five exemplary countries (Czechia, Germany, Lithuania, Norway, Spain) participating in the Alcohol Use and COVID-19 Survey. Comparison of the sample distribution with the country's actual population distribution according to sociodemographics, and development of weighting schemes.ResultsThe dissemination of online surveys through national newspapers, paid social media adverts and dissemination with the support of national health ministries turned out to be the most effective strategies. Monitoring the responses and adapting dissemination strategies to reach under-represented groups, and the application of sample weights were helpful to achieve an analytic sample matching the respective general population profiles.ConclusionReaching a large pan-European convenience sample, including most European countries, in a short time was feasible, with the support of a broad scientific network.
Project description:Objectives: The present study, one of the first to look at COVID-19 and coping in Iran, aimed at mapping, describing and understanding the coping methods academics employ as protective resources to deal with the psychological challenges and social isolation during the COVID-19 pandemic. We specifically aimed at identifying the meaning-making coping methods used and understanding the influence of culture. The guiding research question has been: Are there differences in meaning-making coping methods by gender, age group, work/student status, and place of residence? Design: The study, which used convenience sampling, was a quantitative inquiry. It employed a modified version of the RCOPE scale among faculty/staff members and students in Iran (n = 196, 75% women). Results: The most frequently used coping method among all subgroups of the study sample was thinking that life is part of a greater whole, followed by praying to Allah/God. The least used coping methods were the negative religious ones. Gender differences were found for being alone and contemplating, stronger for men. Thinking that life is part of a greater whole was found mainly among on-campus students. Praying to Allah/God was most common among the youngest staff and students, as well as among women. Two segments of respondents were discovered-the Theists and Non-theists-where the former used more religious coping methods, were more likely to be women, older staff and students, on-campus students, married, have children, and lived in capital. Conclusions: Our conclusion is that the RCOPE methods, which include religious and spiritual meaning-making methods, are of great importance to the studied Iranian informants. However, they use some secular existential meaning-making coping strategies too. This is explained by the role of religion in the larger orientation system and frame of reference in parallel with a secular worldview. Further, a sharp distinction between religious and secular worldviews was not found, which is explained by the fact that secular norms are hardly internalized in ways of thinking in Iran.
Project description:AimsWe aimed to investigate the heterogeneity of seasonal suicide patterns among multiple geographically, demographically and socioeconomically diverse populations.MethodsWeekly time-series data of suicide counts for 354 communities in 12 countries during 1986-2016 were analysed. Two-stage analysis was performed. In the first stage, a generalised linear model, including cyclic splines, was used to estimate seasonal patterns of suicide for each community. In the second stage, the community-specific seasonal patterns were combined for each country using meta-regression. In addition, the community-specific seasonal patterns were regressed onto community-level socioeconomic, demographic and environmental indicators using meta-regression.ResultsWe observed seasonal patterns in suicide, with the counts peaking in spring and declining to a trough in winter in most of the countries. However, the shape of seasonal patterns varied among countries from bimodal to unimodal seasonality. The amplitude of seasonal patterns (i.e. the peak/trough relative risk) also varied from 1.47 (95% confidence interval [CI]: 1.33-1.62) to 1.05 (95% CI: 1.01-1.1) among 12 countries. The subgroup difference in the seasonal pattern also varied over countries. In some countries, larger amplitude was shown for females and for the elderly population (≥65 years of age) than for males and for younger people, respectively. The subperiod difference also varied; some countries showed increasing seasonality while others showed a decrease or little change. Finally, the amplitude was larger for communities with colder climates, higher proportions of elderly people and lower unemployment rates (p-values < 0.05).ConclusionsDespite the common features of a spring peak and a winter trough, seasonal suicide patterns were largely heterogeneous in shape, amplitude, subgroup differences and temporal changes among different populations, as influenced by climate, demographic and socioeconomic conditions. Our findings may help elucidate the underlying mechanisms of seasonal suicide patterns and aid in improving the design of population-specific suicide prevention programmes based on these patterns.
Project description:This study examines the relationship between proactive coping, future time orientation, and perceived work productivity during the coronavirus (COVID-19) pandemic, based on the work-from-home experience of employees in Taiwan and the United States (U.S.). It draws on the conservation of resources (COR) theory, which posits that proactive coping and future time orientation are crucial personal resources that affect the capacity of an individual to adapt to stressful situations. The results show that in the relationship between proactive coping and perceived work productivity, future time orientation acts as a full mediator in Taiwan and a partial mediator in the U.S. The study extends the application of the COR theory to the context of the COVID-19 pandemic and offers important insights that will enable professionals to assess the role of proactive coping and future time orientation in their productivity evaluations of working tasks and to design appropriate training sessions.
Project description:The outbreak of the COVID-19 pandemic has had a wide range of negative consequences for higher education students. We explored the generalizability of the control-value theory of achievement emotions for e-learning, focusing on their antecedents. We involved 17019 higher education students from 13 countries, who completed an online survey during the first wave of the pandemic. A structural equation model revealed that proximal antecedents (e-learning self-efficacy, computer self-efficacy) mediated the relation between environmental antecedents (cognitive and motivational quality of the task) and positive and negative achievement emotions, with some exceptions. The model was invariant across country, area of study, and gender. The rates of achievement emotions varied according to these same factors. Beyond their theoretical relevance, these findings could be the basis for policy recommendations to support stakeholders in coping with the challenges of e-learning and the current and future sequelae of the pandemic.
Project description:BackgroundCommunity health workers (CHWs) are increasingly viewed as a critical workforce to address health system strengthening and sustainable development goals. Optimizing and widening the capacity of this workforce through digital technology is currently underway, though there is skepticism regarding CHWs' willingness and optimism to engage in digital health. We sought to understand CHWs' perceptions on the use of digital health tools in their work.MethodsWe obtained survey data from 1,141 CHWs from 28 countries with complete study information. We conducted regression analyses to explore the relationship between CHWs' training and perceived barriers to digital health access with current use of digital devices/tools and belief in digital impact while adjusting for demographic factors.ResultsMost of the CHWs worked in Kenya (n = 502, 44%) followed by the Philippines (n = 308, 27%), Ghana (n = 107, 9.4%), and the United States (n = 70, 6.1%). There were significant, positive associations between digital tools training and digital device/tool use (Adjusted Odds Ratio (AOR) = 2.92, 95% CI = 2.09-4.13) and belief in digital impact (AORhigh impact = 3.03, 95% CI = 2.04-4.49). CHWs were significantly less likely to use digital devices for their work if they identified cost as a perceived barrier (AORmobile service cost = 0.68, 95% CI = 0.49-0.95; AORphone/device cost = 0.66, 95% CI = 0.47-0.92). CHWs who were optimistic about digital health, were early adopters of technology in their personal lives, and found great value in their work believed digital health helped them to have greater impact. Older age and greater tenure were associated with digital device/tool use and belief in digital impact, respectively.ConclusionsCHWs are not an obstacle to digital health adoption or use. CHWs believe that digital tools can help them have more impact in their communities regardless of perceived barriers. However, cost is a barrier to digital device/tool use; potential solutions to cost constraints of technological access will benefit from further exploration of reimbursement models. Digital health tools have the potential to increase CHW capacity and shape the future of community health work.
Project description:BackgroundThe time delay between the start of an influenza pandemic and its subsequent initiation in other countries is highly relevant to preparedness planning. We quantify the distribution of this random time in terms of the separate components of this delay, and assess how the delay may be extended by non-pharmaceutical interventions.Methods and findingsThe model constructed for this time delay accounts for: (i) epidemic growth in the source region, (ii) the delay until an infected individual from the source region seeks to travel to an at-risk country, (iii) the chance that infected travelers are detected by screening at exit and entry borders, (iv) the possibility of in-flight transmission, (v) the chance that an infected arrival might not initiate an epidemic, and (vi) the delay until infection in the at-risk country gathers momentum. Efforts that reduce the disease reproduction number in the source region below two and severe travel restrictions are most effective for delaying a local epidemic, and under favourable circumstances, could add several months to the delay. On the other hand, the model predicts that border screening for symptomatic infection, wearing a protective mask during travel, promoting early presentation of cases arising among arriving passengers and moderate reduction in travel volumes increase the delay only by a matter of days or weeks. Elevated in-flight transmission reduces the delay only minimally.ConclusionsThe delay until an epidemic of pandemic strain influenza is imported into an at-risk country is largely determined by the course of the epidemic in the source region and the number of travelers attempting to enter the at-risk country, and is little affected by non-pharmaceutical interventions targeting these travelers. Short of preventing international travel altogether, eradicating a nascent pandemic in the source region appears to be the only reliable method of preventing country-to-country spread of a pandemic strain of influenza.
Project description:We intended to assess stress, anxiety, depression and coping strategies during COVID-19 pandemic. Through an online survey, we used primary care posttraumatic stress disorder (PTSD) screen for DSM 5 (PC-PTSD-5), Generalised Anxiety Disorder (GAD)-7 and Patient Health Questionnaire (PHQ)-9, along with coping methods. Of the respondents (n=733), a considerable proportion had moderate to severe anxiety (21.2%) and depression (15%). Stress symptoms, above the cut-off point of 3 in PC-PTSD-5 suggestive of probable PTSD, were present in 34.1%. Mental health problems were significantly associated with students, 20 to 30 year olds, those who are single, and university educated. Considerable proportions of healthcare workers presented with stress symptoms (21.4%), anxiety (5.6%) and depression (5.6%), however, the proportions were significantly less in comparison with others. Various coping strategies were reported; respondents who avoided thinking about the pandemic or seemed unsure of coping strategies and those struggling to cope had significantly greater anxiety and depression. As large proportions of people have anxiety, depression, and stress symptoms in relation to COVID-19, there is a need to establish a mental health support system that can address the need of the general population. Public education on coping strategies and stress management may be helpful.
Project description:Feasibility constraints limit availability of validated cognitive assessments in observational studies. Algorithm-based identification of 'probable dementia' is thus needed, but no algorithm developed so far has been applied in the European context. The present study sought to explore the usefulness of the Langa-Weir (LW) algorithm to detect 'probable dementia' while accounting for country-level variation in prevalence and potential underreporting of dementia. Data from 56 622 respondents of the Survey of Health, Ageing and Retirement in Europe (SHARE, 2017) aged 60 years and older with non-missing data were analyzed. Performance of LW was compared to a logistic regression, random forest and XGBoost classifier. Population-level 'probable dementia' prevalence was compared to estimates based on data from the Organisation for Economic Co-operation and Development. As such, application of the prevalence-specific LW algorithm, based on recall and limitations in instrumental activities of daily living, reduced underreporting from 61.0 (95% CI, 53.3-68.7%) to 30.4% (95% CI, 19.3-41.4%), outperforming tested machine learning algorithms. Performance in other domains of health and cognitive function was similar for participants classified 'probable dementia' and those self-reporting physician-diagnosis of dementia. Dementia classification algorithms can be adapted to cross-national cohort surveys such as SHARE and help reduce underreporting of dementia with a minimal predictor set.