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Flattening the curve of mental ill-health: the importance of primary prevention in managing the mental health impacts of COVID-19.

ABSTRACT: The COVID-19 pandemic is one the biggest challenges the global community has faced this century. The threat of the virus coupled with the impacts of the social and economic shut-down measures required to slow its spread, appear to be impacting on people's mental health and wellbeing. Over the weeks, months and years ahead it is likely that many countries will experience a 'wave' of COVID-19 related mental disorders as a result of an increase in risk factors linked to the pandemic such as social isolation; unemployment; housing and income stress; intimate partner violence; work-related trauma; and grief and loss. The 'two-pronged' approach used to deal with COVID-19, provides an excellent blueprint for managing its mental health impacts as well. Nations must focus on preventing the occurrence of new-onset cases of mental disorders as well as strengthening their mental healthcare response to support people who become mentally unwell. A focus on primary prevention is particularly important to 'flatten the curve' and avoid a surge in incidence of mental disorders stemming from the COVID-19 pandemic. Evidence-based interventions designed to prevent common disorders are already available and should be scaled-up. These interventions include parenting programs, social and emotional learning programs, self-care strategies, and workplace mental wellbeing programs, among others.

SUBMITTER: Carbone SR

PROVIDER: S-EPMC7255235 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Flattening the curve of mental ill-health: the importance of primary prevention in managing the mental health impacts of COVID-19.

Carbone Stephen R SR

Mental health & prevention 20200515

The COVID-19 pandemic is one the biggest challenges the global community has faced this century. The threat of the virus coupled with the impacts of the social and economic shut-down measures required to slow its spread, appear to be impacting on people's mental health and wellbeing. Over the weeks, months and years ahead it is likely that many countries will experience a 'wave' of COVID-19 related mental disorders as a result of an increase in risk factors linked to the pandemic such as social ...[more]

PMID: 32566473

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Project description:BACKGROUND:The coronavirus disease (COVID-19) has led to dramatic changes worldwide in people's everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. OBJECTIVE:The goal of this study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries on a national scale. METHODS:In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, 11 of the 50 states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the United States allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. This paper examines the changes in mental health search queries on Google between March 16-23, 2020, across each state and Washington, DC. Specifically, this paper examines differential changes in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. The participants were all the people who searched mental health terms in Google between March 16-23. Between March 16-23, 11 states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. RESULTS:Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances, with the most prominent flattening associated with suicidal ideation and anxiety. CONCLUSIONS:These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediate leveling off following the issuance of stay-at-home orders.

Project description:BackgroundSome capability dimensions may be more important than others in determining someone's well-being, and these preferences might be dependent on ill-health experience. This study aimed to explore the relative preference weights of the 16 items of the German language version of the OxCAP-MH (Oxford Capability questionnaire-Mental Health) capability instrument and their differences across cohorts with alternative levels of mental ill-health experience.MethodsA Best-Worst-Scaling (BWS) survey was conducted in Austria among 1) psychiatric patients (direct mental ill-health experience), 2) (mental) healthcare experts (indirect mental ill-health experience), and 3) primary care patients with no mental ill-health experience. Relative importance scores for each item of the German OxCAP-MH instrument were calculated using Hierarchical Bayes estimation. Rank analysis and multivariable linear regression analysis with robust standard errors were used to explore the relative importance of the OxCAP-MH items across the three cohorts.ResultsThe study included 158 participants with complete cases and acceptable fit statistic. The relative importance scores for the full cohort ranged from 0.76 to 15.72. Findings of the BWS experiment indicated that the items Self-determination and Limitation in daily activities were regarded as the most important for all three cohorts. Freedom of expression was rated significantly less important by psychiatric patients than by the other two cohorts, while Having suitable accommodation appeared significantly less important by the expert cohort. There were no further significant differences in the relative preference weights of OxCAP-MH items between the cohorts or according to gender.ConclusionsOur study indicates significant between-item but limited mental ill-health related heterogeneity in the relative preference weights of the different capability items within the OxCAP-MH. The findings support the future development of preference-based value sets elicited from the general population for comparative economic evaluation purposes.

Project description:Background: Web-based and mobile mental health applications for the prevention and treatment of common mental disorders (CMDs) are on the rise. Under certain circumstances they have proved to be effective for a range of conditions (e.g., depression). Objective: There is not sufficient evidence regarding the benefits and barriers especially for mobile phone apps and for programs in the field of primary prevention. Studies on the acceptance of potential users of mental health apps yielded mixed outcomes. In a large survey we investigated the attitudes of employees toward mental health apps and various traditional mental health services. Our main research question in this contribution focuses on the acceptance of apps compared to other measures and the moderating influence of individual characteristics. Methods: The standardized survey was completed by members of an online access panel with different job types. A set of 33 self-developed items, including three questions on e-health, captured the perceived relevance of prevention at the (A) occupational, (B) individual, and (C) societal level. On the basis of an exploratory factor analysis, mean scores for mapping seven (sub-)dimensions were constructed and compared using the Wilcoxon test. The influence of potential predictors was analyzed in linear regression models. Results: The data of 610 respondents were analyzed (response rate 75%). Support from mental health applications was rated significantly less important compared to all other dimensions at the levels (A) to (C). Respondents were more likely to use mental health apps if they felt literate with electronic devices, perceived a high relevance of work-related demands as causal factors for CMDs, stated they would be ashamed of having a CMD, and would be willing to begin psychotherapy if recommended. Discussion and Conclusions: The results confirm the critical attitudes of potential mental health app users found in other studies. Since users with a negative attitude toward e-health might have a higher risk for dropout and non-adherence as well as lower intervention effects, well-designed educational strategies should be carried out beforehand.

Dataset Information

Flattening the curve of mental ill-health: the importance of primary prevention in managing the mental health impacts of COVID-19.

Publications

Flattening the curve of mental ill-health: the importance of primary prevention in managing the mental health impacts of COVID-19.

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