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Crocker TF, Lam N, Ensor J, Jordão M, Bajpai R, Bond M, Forster A, Riley RD, Andre D, Brundle C, Ellwood A, Green J, Hale M, Morgan J, Patetsini E, Prescott M, Ramiz R, Todd O, Walford R, Gladman J, Clegg A. Community-based complex interventions to sustain independence in older people, stratified by frailty: a systematic review and network meta-analysis. Health Technol Assess 2024; 28:1-194. [PMID: 39252602 PMCID: PMC11403382 DOI: 10.3310/hnrp2514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/11/2024] Open
Abstract
Background Sustaining independence is important for older people, but there is insufficient guidance about which community health and care services to implement. Objectives To synthesise evidence of the effectiveness of community services to sustain independence for older people grouped according to their intervention components, and to examine if frailty moderates the effect. Review design Systematic review and network meta-analysis. Eligibility criteria Studies: Randomised controlled trials or cluster-randomised controlled trials. Participants: Older people (mean age 65+) living at home. Interventions: community-based complex interventions for sustaining independence. Comparators: usual care, placebo or another complex intervention. Main outcomes Living at home, instrumental activities of daily living, personal activities of daily living, care-home placement and service/economic outcomes at 1 year. Data sources We searched MEDLINE (1946-), Embase (1947-), CINAHL (1972-), PsycINFO (1806-), CENTRAL and trial registries from inception to August 2021, without restrictions, and scanned reference lists. Review methods Interventions were coded, summarised and grouped. Study populations were classified by frailty. A random-effects network meta-analysis was used. We assessed trial-result risk of bias (Cochrane RoB 2), network meta-analysis inconsistency and certainty of evidence (Grading of Recommendations Assessment, Development and Evaluation for network meta-analysis). Results We included 129 studies (74,946 participants). Nineteen intervention components, including 'multifactorial-action' (multidomain assessment and management/individualised care planning), were identified in 63 combinations. The following results were of low certainty unless otherwise stated. For living at home, compared to no intervention/placebo, evidence favoured: multifactorial-action and review with medication-review (odds ratio 1.22, 95% confidence interval 0.93 to 1.59; moderate certainty) multifactorial-action with medication-review (odds ratio 2.55, 95% confidence interval 0.61 to 10.60) cognitive training, medication-review, nutrition and exercise (odds ratio 1.93, 95% confidence interval 0.79 to 4.77) and activities of daily living training, nutrition and exercise (odds ratio 1.79, 95% confidence interval 0.67 to 4.76). Four intervention combinations may reduce living at home. For instrumental activities of daily living, evidence favoured multifactorial-action and review with medication-review (standardised mean difference 0.11, 95% confidence interval 0.00 to 0.21; moderate certainty). Two interventions may reduce instrumental activities of daily living. For personal activities of daily living, evidence favoured exercise, multifactorial-action and review with medication-review and self-management (standardised mean difference 0.16, 95% confidence interval -0.51 to 0.82). For homecare recipients, evidence favoured the addition of multifactorial-action and review with medication-review (standardised mean difference 0.60, 95% confidence interval 0.32 to 0.88). Care-home placement and service/economic findings were inconclusive. Limitations High risk of bias in most results and imprecise estimates meant that most evidence was low or very low certainty. Few studies contributed to each comparison, impeding evaluation of inconsistency and frailty. Studies were diverse; findings may not apply to all contexts. Conclusions Findings for the many intervention combinations evaluated were largely small and uncertain. However, the combinations most likely to sustain independence include multifactorial-action, medication-review and ongoing review of patients. Some combinations may reduce independence. Future work Further research is required to explore mechanisms of action and interaction with context. Different methods for evidence synthesis may illuminate further. Study registration This study is registered as PROSPERO CRD42019162195. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR128862) and is published in full in Health Technology Assessment; Vol. 28, No. 48. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Thomas Frederick Crocker
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Natalie Lam
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Joie Ensor
- Centre for Prognosis Research, Keele School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Magda Jordão
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Ram Bajpai
- Centre for Prognosis Research, Keele School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Matthew Bond
- Centre for Prognosis Research, Keele School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Anne Forster
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Richard D Riley
- Centre for Prognosis Research, Keele School of Medicine, Keele University, Keele, Staffordshire, UK
| | - Deirdre Andre
- Research Support Team, Leeds University Library, University of Leeds, Leeds, West Yorkshire, UK
| | - Caroline Brundle
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Alison Ellwood
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Green
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Matthew Hale
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Jessica Morgan
- Geriatric Medicine, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Eleftheria Patetsini
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Matthew Prescott
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Ridha Ramiz
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Oliver Todd
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rebecca Walford
- Geriatric Medicine, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Gladman
- Centre for Rehabilitation & Ageing Research, Academic Unit of Injury, Inflammation and Recovery Sciences, University of Nottingham and Health Care of Older People, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Andrew Clegg
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
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Lee C, Kuhn I, McGrath M, Remes O, Cowan A, Duncan F, Baskin C, Oliver EJ, Osborn DPJ, Dykxhoorn J, Kaner E, Walters K, Kirkbride J, Gnani S, Lafortune L. A systematic scoping review of community-based interventions for the prevention of mental ill-health and the promotion of mental health in older adults in the UK. HEALTH & SOCIAL CARE IN THE COMMUNITY 2022; 30:27-57. [PMID: 33988281 DOI: 10.1111/hsc.13413] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/24/2021] [Accepted: 03/31/2021] [Indexed: 06/12/2023]
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.
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Affiliation(s)
- Caroline Lee
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Isla Kuhn
- School of Clinical Medicine, University of Cambridge Medical Library, Cambridge, UK
| | | | - Olivia Remes
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Andy Cowan
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Fiona Duncan
- Department of Sport and Exercise Sciences, Durham University, Durham, England
| | - Cleo Baskin
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK
| | - Emily J Oliver
- Department of Sport and Exercise Sciences, Durham University, Durham, England
| | | | - Jennifer Dykxhoorn
- Division of Psychiatry, UCL, London, UK
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK
| | - Eileen Kaner
- Population Health Sciences Institute, Newcastle-upon-Tyne, UK
| | - Kate Walters
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK
| | | | - Shamini Gnani
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK
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