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1.
BMC Public Health ; 23(1): 2445, 2023 12 07.
Article in English | MEDLINE | ID: mdl-38062427

ABSTRACT

BACKGROUND: Public mental health interventions are non-clinical services that aim to promote wellbeing and prevent mental ill health at the population level. In England, the health, social and community system is characterised by complex and fragmented inter-sectoral relationships. To overcome this, there has been an expansion in co-locating public mental health services within clinical settings, the focus of prior research. This study evaluates how co-location in community-based settings can support adult mental health and reduce health inequalities. METHODS: A qualitative multi-site case study design using a realist evaluation approach was employed. Data collection took place in three phases: theory gleaning, parallel testing and refining of theories, and theory consolidation. We collected data from service users (n = 32), service providers (n = 32), funders, commissioners, and policy makers (n = 11), and members of the public (n = 10). We conducted in-depth interviews (n = 65) and four focus group discussions (n = 20) at six case study sites across England, UK, and two online multi-stakeholder workshops (n = 20). Interview guides followed realist-informed open-ended questions, adapted for each phase. The realist analysis used an iterative, inductive, and deductive data analysis approach to identify the underlying mechanisms for how community co-location affects public mental health outcomes, who this works best for, and understand the contexts in which co-location operates. RESULTS: Five overarching co-location theories were elicited and supported. Co-located services: (1) improved provision of holistic and person-centred support; (2) reduced stigma by creating non-judgemental environments that were not associated with clinical or mental health services; (3) delivered services in psychologically safe environments by creating a culture of empathy, friendliness and trust where people felt they were being treated with dignity and respect; (4) helped to overcome barriers to accessibility by making service access less costly and more time efficient, and (5) enhance the sustainability of services through better pooling of resources. CONCLUSION: Co-locating public mental health services within communities impacts multiple social determinants of poor mental health. It has a role in reducing mental health inequalities by helping those least likely to access services. Operating practices that engender inter-service trust and resource-sharing are likely to support sustainability.


Subject(s)
Mental Health , Public Health , Adult , Humans , Focus Groups , Qualitative Research , Health Inequities
2.
Health Soc Care Community ; 30(1): 27-57, 2022 01.
Article in English | MEDLINE | ID: mdl-33988281

ABSTRACT

BACKGROUND: Mental health concerns in older adults are common, with increasing age-related risks to physical health, mobility and social isolation. Community-based approaches are a key focus of public health strategy in the UK, and may reduce the impact of these risks, protecting mental health and promoting wellbeing. We conducted a review of UK community-based interventions to understand the types of intervention studied and mental health/wellbeing impacts reported. METHOD: We conducted a scoping review of the literature, systematically searching six electronic databases (2000-2020) to identify academic studies of any non-clinical community intervention to improve mental health or wellbeing outcomes for older adults. Data were extracted, grouped by population targeted, intervention type, and outcomes reported, and synthesised according to a framework categorising community actions targeting older adults. RESULTS: In total, 1,131 full-text articles were assessed for eligibility and 54 included in the final synthesis. Example interventions included: link workers; telephone helplines; befriending; digital support services; group social activities. These were grouped into: connector services, gateway services/approaches, direct interventions and systems approaches. These interventions aimed to address key risk factors: loneliness, social isolation, being a caregiver and living with long-term health conditions. Outcome measurement varied greatly, confounding strong evidence in favour of particular intervention types. CONCLUSION: The literature is wide-ranging in focus and methodology. Greater specificity and consistency in outcome measurement are required to evidence effectiveness - no single category of intervention yet stands out as 'promising'. More robust evidence on the active components of interventions to promote older adult's mental health is required.


Subject(s)
Loneliness , Mental Health , Aged , Community Participation , Humans , Social Isolation , United Kingdom
3.
Front Psychiatry ; 12: 741328, 2021.
Article in English | MEDLINE | ID: mdl-34707524

ABSTRACT

Background: To bridge significant mental health treatment gaps, it is essential that the healthcare workforce is able to detect and manage mental health conditions. We aim to synthesise evidence of effective educational and training interventions aimed at healthcare workers to increase their ability to detect and manage mental health conditions in South and South-East Asia. Methods: Systematic review of six electronic academic databases from January 2000 to August 2020 was performed. All primary research studies were eligible if conducted among healthcare workers in South and South-East Asia and reported education and training interventions to improve detection and management of mental health conditions. Quality of studies were assessed using Modified Cochrane Collaboration, ROBINS-I, and Mixed Methods Appraisal Tools and data synthesised by narrative synthesis. Results are reported according to Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines. A review protocol was registered with the PROSPERO database (CRD42020203955). Findings: We included 48 of 3,654 screened articles. Thirty-six reported improvements in knowledge and skills in the detection and management of mental health conditions. Training was predominantly delivered to community and primary care health workers to identify and manage common mental health disorders. Commonly used training included the World Health Organization's mhGAP guidelines (n = 9) and Cognitive Behavioural Therapy (n = 8) and were successfully tailored and delivered to healthcare workers. Digitally delivered training was found to be acceptable and effective. Only one study analysed cost effectiveness. Few targeted severe mental illnesses and upskilling mental health specialists or offered long-term follow-up or supervision. We found 21 studies were appraised as low/moderate and 19 as high/critical risk of bias. Interpretation: In low resource country settings, upskilling and capacity building of primary care and community healthcare workers can lead to better detection and management of people with mental health disorders and help reduce the treatment gap. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42020203955.

4.
BMJ Open ; 11(7): e045615, 2021 07 02.
Article in English | MEDLINE | ID: mdl-34215602

ABSTRACT

INTRODUCTION: The mental health burden and treatment gap in South and Southeast Asia is high and significant. Capacity building of healthcare workers is essential to support programmes related to the detection and management of patients with mental health conditions. We aim to conduct a systematic review to summarise the research on educational, training and capacity-building interventions aimed at the healthcare workforce in detection and management of mental health conditions in South and Southeast Asia. OBJECTIVE: To synthesise evidence on (1) the types of educational and training interventions that have been used to improve the knowledge, skills and attitudes of healthcare workers in South and Southeast Asian countries in the detection and management of mental health conditions; (2) the effectiveness, including cost-effectiveness of the interventions; and (3) the enabling factors and barriers that influence the effectiveness of these interventions. METHODS AND ANALYSIS: This review will be conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. We will search six electronic databases: MEDLINE, EMBASE, PsycINFO, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, and Global Health for empirical studies published from 1 January 2000 to 31 August 2020. Search results from each database will be combined and uploaded in Covidence library. Title, abstract and full-text screening, and data extraction of each included study will be performed by two independent reviewers. Disagreements between reviewers will be resolved by a third reviewer and study team. Quality of included studies will be assessed by the modified Cochrane Collaboration tool and ROBINS-I tool. Data will be synthesised and if a meta-analysis is not appropriate, a stepwise thematic analysis will be performed. ETHICS AND DISSEMINATION: Ethics approval is not required for this study. Findings will be disseminated through peer-reviewed publications, fact sheets, multimedia press briefings, conferences, seminars and symposia. PROSPERO REGISTRATION NUMBER: CRD42020203955.


Subject(s)
Mental Disorders , Mental Health , Health Personnel , Humans , Mental Disorders/diagnosis , Mental Disorders/therapy , Meta-Analysis as Topic , Research Design , Systematic Reviews as Topic
5.
J Epidemiol Community Health ; 75(7): 665-673, 2021 Jul.
Article in English | MEDLINE | ID: mdl-33931550

ABSTRACT

BACKGROUND: The COVID-19 pandemic has created a period of global economic uncertainty. Financial strain, personal debt, recent job loss and housing insecurity are important risk factors for the mental health of working-age adults. Community interventions have the potential to attenuate the mental health impact of these stressors. We examined the effectiveness of community interventions for protecting and promoting the mental health of working-age adults in high-income countries during periods of financial insecurity. METHODS: Eight electronic databases were systematically screened for experimental and observational studies published since 2000 measuring the effectiveness of community interventions on mental health outcomes. We included any non-clinical intervention that aimed to address the financial, employment, food or housing insecurity of participants. A review protocol was registered on the PROSPERO database (CRD42019156364) and results are reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. RESULTS: From 2326 studies screened, 15 met our inclusion criteria. Five categories of community intervention were identified: advice services colocated in healthcare settings; link worker social prescribing; telephone debt advice; food insecurity interventions; and active labour market programmes. In general, the evidence for effective and cost-effective community interventions delivered to individuals experiencing financial insecurity was lacking. From the small number of studies without a high risk of bias, there was some evidence that financial insecurity and associated mental health problems were amenable to change and differences by subpopulations were observed. CONCLUSION: There is a need for well-controlled studies and trials to better understand effective ingredients and to identify those interventions warranting wider implementation.

6.
BMJ Open ; 10(7): e037631, 2020 07 13.
Article in English | MEDLINE | ID: mdl-32665349

ABSTRACT

BACKGROUND: Public mental health (PMH) is a global challenge and a UK priority area for action. However, to progress, practitioners require a stronger evidence base regarding the effectiveness of approaches, particularly regarding promotion and prevention through community-centred interventions. In addition, policy-makers need to understand what is being delivered, particularly in areas of high need, to identify promising practices or gaps in PMH provision. Finally, and importantly, the public need better information regarding what approaches and services are available to them. We report a protocol designed to (1) identify the types of community-centred interventions used in purposively selected diverse geographical areas of England to improve PMH outcomes and (2) describe the type, target population, content and outcome measures of each intervention. METHODS AND ANALYSIS: Five local authority areas of England were selected based on either high social deprivation or differing ethnic population statistics and geographical locations. Community-centred interventions in each area will be identified through: (1) desk-based data capture from standardised searches of publicly-available information (eg, policy, strategy and intervention advertising), (2) established professional networks and service contacts, (3) chain-referral sampling of individuals involved in local mental health promotion and prevention and (4) peer researchers, who will use their personal experience and local knowledge to help identify potentially relevant organisations. Data on the key features of the interventions will be extracted from individuals either by structured interviews or by electronic questionnaires with information regarding the intervention(s) of which they have knowledge. Initial data analysis will involve tabulating descriptive information and grouping interventions according to intervention type, target population, risk/protective factor and intended primary outcome. A descriptive comparison will be made between selected geographical areas. ETHICS AND DISSEMINATION: Ethical approval was obtained from Durham University's Department of Sport and Exercise Sciences Research Ethics Committee. We plan to disseminate our findings at relevant conferences, meetings and through peer-reviewed journals. We also plan to disseminate to the public and intervention providers through social media and/or newsletters.


Subject(s)
Mental Health , Sports , England , Exercise , Health Promotion , Humans
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