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      Service Providers Perspectives on Personal Recovery from Severe Mental Illness in Cape Town, South Africa: A Qualitative Study

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          Abstract

          Severe mental illnesses (SMI) contribute significantly to the global burden of disease. In low-and-middle-income countries (LMICs), the treatment gap impacts the clinical and personal recovery of people living with an SMI. The drive to reduce this treatment gap in LMICs makes it pertinent to understand service providers’ views on recovery from SMI. Semi-structured interviews and focus groups with service providers from health services and non-profit organisations in the Western Cape Province, South Africa, were conducted in this qualitative study. Seventeen participants were purposively selected, and data were thematically analysed. Three major themes emerged: delineating recovery, available services supporting recovery from SMI, and facilitators and barriers to recovery at the service level. Health services favoured clinical over personal recovery. Participants thought that many service users’ personal recovery from SMI was hindered by intersecting social, economic, cultural, and political inequalities that extended beyond the influence of the health sector.

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          Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

          Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
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            Using the framework method for the analysis of qualitative data in multi-disciplinary health research

            Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.
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              Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

              Summary Background As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. Methods We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8–75·9 million [7·2%, 6·0–8·3]), 45·1 million (29·0–62·8 million [5·6%, 4·0–7·2]), 36·3 million (25·3–50·9 million [4·5%, 3·8–5·3]), 34·7 million (23·0–49·6 million [4·3%, 3·5–5·2]), and 34·1 million (23·5–46·0 million [4·2%, 3·2–5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3–3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10·4% (95% UI 9·0–11·8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer’s disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862–11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018–19 228). Interpretation The decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-to-date information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response.
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                Author and article information

                Contributors
                Fadia.Gamieldien@uct.ac.za
                Journal
                Community Ment Health J
                Community Ment Health J
                Community Mental Health Journal
                Springer US (New York )
                0010-3853
                1573-2789
                20 October 2021
                20 October 2021
                2022
                : 58
                : 5
                : 955-966
                Affiliations
                [1 ]GRID grid.7836.a, ISNI 0000 0004 1937 1151, Department of Psychiatry and Mental Health, Alan J. Flisher Centre for Public Mental Health, , University of Cape Town, ; 46 Sawkins Road, Rondebosch, Cape Town, 7700 South Africa
                [2 ]GRID grid.7836.a, ISNI 0000 0004 1937 1151, Division of Occupational Therapy, Department of Health and Rehabilitation Sciences, , University of Cape Town, ; Cape Town, South Africa
                [3 ]GRID grid.1032.0, ISNI 0000 0004 0375 4078, Faculty of Health Sciences, Curtin enAble Institute, , Curtin University, ; Perth, WA Australia
                [4 ]GRID grid.415021.3, ISNI 0000 0000 9155 0024, Alcohol, Tobacco and Other Drug Research Unit, , South African Medical Research Council, ; Cape Town, South Africa
                [5 ]GRID grid.7836.a, ISNI 0000 0004 1937 1151, Division of Addiction Psychiatry, Department of Psychiatry and Mental Health, , University of Cape Town, ; Cape Town, South Africa
                Author information
                http://orcid.org/0000-0003-2820-6484
                http://orcid.org/0000-0003-0014-1842
                http://orcid.org/0000-0003-0235-6716
                http://orcid.org/0000-0002-5517-1697
                Article
                904
                10.1007/s10597-021-00904-8
                9187550
                34671918
                f8da8ace-ee7c-4c05-84b6-8e0ff0612b9b
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 November 2020
                : 6 October 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100002465, Delta;
                Categories
                Original Paper
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2022

                Health & Social care
                recovery,severe mental illness,low-and-middle-income countries,service providers

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