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      RuralCovidLife: A new resource for the impact of the pandemic on rural Scotland.

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          Abstract

          RuralCovidLife is part of Generation Scotland’s CovidLife project, investigating the impact of the COVID-19 pandemic and mitigation measures on people in Scotland. The RuralCovidLife project focuses on Scotland’s rural communities, and how they have been impacted by the pandemic.

          During survey development, Generation Scotland consulted with people living or working in rural communities, and collaborated with a patient and public involvement and engagement (PPIE) group composed of rural community leaders. Through this consultation work, the RuralCovidLife survey was developed to assess the issues most pertinent to people in rural communities, such as mental health, employment, transport, connectivity, and local communities.

          Between 14th October and 30th November 2020, 3,365 participants from rural areas in Scotland took part in the survey. Participant ages ranged from 16 to 96 (mean = 58.4, standard deviation [SD] = 13.3), and the majority of the participants were female (70.5%). Over half (51.3%) had taken part in the original CovidLife survey.

          RuralCovidLife includes a subsample (n = 523) of participants from the Generation Scotland cohort. Pre-pandemic data on health and lifestyle, as well as biological samples, are available for these participants. These participants’ data can also be linked to past and future healthcare records, allowing analysis of retrospective and prospective health outcomes.

          Like Generation Scotland, RuralCovidLife is designed as a resource for researchers. RuralCovidLife data, as well as the linked Generation Scotland data, is available for use by external researchers following approval from the Generation Scotland Access Committee. RuralCovidLife can be used to investigate mental health, well-being, and behaviour in participants living in rural areas during the COVID-19 pandemic, as well as comparisons with non-rural samples. Moreover, the sub-sample with full Generation Scotland data and linkage can be used to investigate the long-term health consequences of the COVID-19 pandemic in rural communities.

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          A brief measure for assessing generalized anxiety disorder: the GAD-7.

          Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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            The PHQ-9: validity of a brief depression severity measure.

            While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
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              Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science

              Summary The coronavirus disease 2019 (COVID-19) pandemic is having a profound effect on all aspects of society, including mental health and physical health. We explore the psychological, social, and neuroscientific effects of COVID-19 and set out the immediate priorities and longer-term strategies for mental health science research. These priorities were informed by surveys of the public and an expert panel convened by the UK Academy of Medical Sciences and the mental health research charity, MQ: Transforming Mental Health, in the first weeks of the pandemic in the UK in March, 2020. We urge UK research funding agencies to work with researchers, people with lived experience, and others to establish a high level coordination group to ensure that these research priorities are addressed, and to allow new ones to be identified over time. The need to maintain high-quality research standards is imperative. International collaboration and a global perspective will be beneficial. An immediate priority is collecting high-quality data on the mental health effects of the COVID-19 pandemic across the whole population and vulnerable groups, and on brain function, cognition, and mental health of patients with COVID-19. There is an urgent need for research to address how mental health consequences for vulnerable groups can be mitigated under pandemic conditions, and on the impact of repeated media consumption and health messaging around COVID-19. Discovery, evaluation, and refinement of mechanistically driven interventions to address the psychological, social, and neuroscientific aspects of the pandemic are required. Rising to this challenge will require integration across disciplines and sectors, and should be done together with people with lived experience. New funding will be required to meet these priorities, and it can be efficiently leveraged by the UK's world-leading infrastructure. This Position Paper provides a strategy that may be both adapted for, and integrated with, research efforts in other countries.
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                Author and article information

                Contributors
                Role: Data CurationRole: Formal AnalysisRole: VisualizationRole: Writing – Original Draft Preparation
                Role: Data CurationRole: VisualizationRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project Administration
                Role: ConceptualizationRole: Writing – Review & Editing
                Role: ConceptualizationRole: Writing – Review & Editing
                Role: ConceptualizationRole: Writing – Review & Editing
                Role: ConceptualizationRole: Writing – Review & Editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Writing – Review & Editing
                Role: ConceptualizationRole: Data CurationRole: Formal AnalysisRole: InvestigationRole: MethodologyRole: Project AdministrationRole: SupervisionRole: Writing – Review & Editing
                Role: ConceptualizationRole: Data CurationRole: MethodologyRole: Project Administration
                Role: ConceptualizationRole: InvestigationRole: Project Administration
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project Administration
                Role: ConceptualizationRole: Project AdministrationRole: SupervisionRole: Writing – Review & Editing
                Role: ConceptualizationRole: MethodologyRole: Project Administration
                Role: Project Administration
                Role: Data Curation
                Role: ConceptualizationRole: Funding AcquisitionRole: SupervisionRole: Writing – Review & Editing
                Role: ConceptualizationRole: Funding AcquisitionRole: Supervision
                Role: Conceptualization
                Role: ConceptualizationRole: Funding AcquisitionRole: Supervision
                Role: ConceptualizationRole: Funding Acquisition
                Role: ConceptualizationRole: Funding AcquisitionRole: MethodologyRole: Project AdministrationRole: SupervisionRole: Writing – Review & Editing
                Journal
                Wellcome Open Res
                Wellcome Open Res
                Wellcome Open Research
                F1000 Research Limited (London, UK )
                2398-502X
                23 May 2022
                2021
                : 6
                : 317
                Affiliations
                [1 ]Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
                [2 ]Support in Mind Scotland, Edinburgh, EH16 5GA, UK
                [3 ]Fulton Fisheries Consultancies Limited, Isle of Harris, HS3 3DX, UK
                [4 ]Directorate of Public Health, Dumfries and Galloway Council, Dumfries, DG1 2DD, UK
                [5 ]The GALE Centre, Gairloch, IV21 2BH, UK
                [6 ]Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
                [7 ]Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK
                [8 ]MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
                [9 ]Division of Psychiatry, University of Edinburgh, Edinburgh, EH10 5HF, UK
                [1 ]Nottingham Trent University, Nottingham, England, UK
                [1 ]Centre for Women’s Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
                [1 ]Centre for Women’s Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
                University of Edinburgh, UK
                Author notes

                x Joint first author

                Competing interests: Members of the PPIE panel involved in development of study also acted as co-authors.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Author information
                https://orcid.org/0000-0001-5960-4771
                https://orcid.org/0000-0001-5960-4771
                https://orcid.org/0000-0002-0887-5560
                https://orcid.org/0000-0002-7493-2228
                https://orcid.org/0000-0003-0198-5078
                https://orcid.org/0000-0001-5432-1158
                https://orcid.org/0000-0001-8007-1279
                https://orcid.org/0000-0003-3304-394X
                https://orcid.org/0000-0002-1733-263X
                https://orcid.org/0000-0002-0198-4588
                https://orcid.org/0000-0003-1249-6106
                Article
                10.12688/wellcomeopenres.17325.2
                11079587
                38726350
                d50d9de0-93f5-4a17-b23b-803ed33cdd2a
                Copyright: © 2022 Stevenson AJ et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 May 2022
                Funding
                Funded by: Wellcome Trust - University of Edinburgh Institutional Strategic Support Fund
                Award ID: ISSF3
                Funded by: Wellcome Trust
                Award ID: 216767
                Funded by: Chief Scientist Office, Scottish Government Health and Social Care Directorate
                Award ID: CZD/16/6
                Funded by: Scottish Funding Council
                Award ID: HR03006
                This work was supported by Wellcome [216767]; the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6]; the Scottish Funding Council [HR03006]; the Wellcome Trust-University of Edinburgh Institutional Strategic Support Fund [ISSF3].
                The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Data Note
                Articles

                cohort,longitudinal study,covid-19,rural communities
                cohort, longitudinal study, covid-19, rural communities

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