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Attwood D, Hope SV, Spicer SG, Gordon AL, Boorer J, Ellis W, Earley M, Denovan J, Hart G, Williams M, Burdett N, Lemon M. Does proactive care in care homes improve survival? A quality improvement project. BMJ Open Qual 2024; 13:e002771. [PMID: 38834371 DOI: 10.1136/bmjoq-2024-002771] [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] [Received: 01/23/2024] [Accepted: 05/10/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND NHS England's 'Enhanced Health in Care Homes' specification aims to make the healthcare of care home residents more proactive. Primary care networks (PCNs) are contracted to provide this, but approaches vary widely: challenges include frailty identification, multidisciplinary team (MDT) capability/capacity and how the process is structured and delivered. AIM To determine whether a proactive healthcare model could improve healthcare outcomes for care home residents. DESIGN AND SETTING Quality improvement project involving 429 residents in 40 care homes in a non-randomised crossover cohort design. The headline outcome was 2-year survival. METHOD All care home residents had healthcare coordinated by the PCN's Older Peoples' Hub. A daily MDT managed the urgent healthcare needs of residents. Proactive healthcare, comprising information technology-assisted comprehensive geriatric assessment (i-CGA) and advanced care planning (ACP), were completed by residents, with prioritisation based on clinical needs.Time-dependent Cox regression analysis was used with patients divided into two groups:Control group: received routine and urgent (reactive) care only.Intervention group: additional proactive i-CGA and ACP. RESULTS By 2 years, control group survival was 8.6% (n=108), compared with 48.1% in the intervention group (n=321), p<0.001. This represented a 39.6% absolute risk reduction in mortality, 70.2% relative risk reduction and the number needed to treat of 2.5, with little changes when adjusting for confounding variables. CONCLUSION A PCN with an MDT-hub offering additional proactive care (with an i-CGA and ACP) in addition to routine and urgent/reactive care may improve the 2-year survival in older people compared with urgent/reactive care alone.
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Affiliation(s)
| | - Suzy V Hope
- College of Medicine and Health, University of Exeter, Exeter, UK
- Healthcare for Older People, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Stuart G Spicer
- Community and Primary Care Research Group, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Adam L Gordon
- Academic Unit of Injury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- NIHR Applied Research Collaboration East Midlands (ARC-EM), Nottingham, UK
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Attwood D, Vafidis J, Boorer J, Long S, Ellis W, Earley M, Denovan J, Hart G', Williams M, Burdett N, Lemon M, Hope S. IT-assisted comprehensive geriatric assessment for residents in care homes: quasi-experimental longitudinal study. BMC Geriatr 2024; 24:269. [PMID: 38504155 PMCID: PMC10949740 DOI: 10.1186/s12877-024-04824-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 02/19/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Frailty interventions such as Comprehensive Geriatric Assessment (CGA) can provide significant benefits for older adults living with frailty. However, incorporating such proactive interventions into primary care remains a challenge. We developed an IT-assisted CGA (i-CGA) process, which includes advance care planning (ACP). We assessed if, in older care home residents, particularly those with severe frailty, i-CGA could improve access to advance care planning discussions and reduce unplanned hospitalisations. METHOD As a quality improvement project we progressively incorporated our i-CGA process into routine primary care for older care home residents, and used a quasi-experimental approach to assess its interim impact. Residents were assessed for frailty by General Practitioners. Proactive i-CGAs were completed, including consideration of traditional CGA domains, deprescribing and ACP discussions. Interim analysis was conducted at 1 year: documented completion, preferences and adherence to ACPs, unplanned hospital admissions, and mortality rates were compared for i-CGA and control (usual care) groups, 1-year post-i-CGA or post-frailty diagnosis respectively. Documented ACP preferences and place of death were compared using the Chi-Square Test. Unplanned hospital admissions and bed days were analysed using the Mann-Whitney U test. Survival was estimated using Kaplan-Meier survival curves. RESULTS At one year, the i-CGA group comprised 196 residents (severe frailty 111, 57%); the control group 100 (severe frailty 56, 56%). ACP was documented in 100% of the i-CGA group, vs. 72% of control group, p < 0.0001. 85% (94/111) of severely frail i-CGA residents preferred not to be hospitalised if they became acutely unwell. For those with severe frailty, mean unplanned admissions in the control (usual care) group increased from 0.87 (95% confidence interval ± 0.25) per person year alive to 2.05 ± 1.37, while in the i-CGA group they fell from 0.86 ± 0.24 to 0.68 ± 0.37, p = 0.22. Preferred place of death was largely adhered to in both groups, where documented. Of those with severe frailty, 55% (62/111) of the i-CGA group died, vs. 77% (43/56) of the control group, p = 0.0013. CONCLUSIONS Proactive, community-based i-CGA can improve documentation of care home residents' ACP preferences, and may reduce unplanned hospital admissions. In severely frail residents, a mortality reduction was seen in those who received an i-CGA.
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Affiliation(s)
| | - Jim Vafidis
- University of the West of England, Bristol, UK
| | | | | | | | | | | | | | | | | | | | - Suzy Hope
- University of Exeter, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
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Dent E, Hanlon P, Sim M, Jylhävä J, Liu Z, Vetrano DL, Stolz E, Pérez-Zepeda MU, Crabtree DR, Nicholson C, Job J, Ambagtsheer RC, Ward PR, Shi SM, Huynh Q, Hoogendijk EO. Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology. Ageing Res Rev 2023; 91:102082. [PMID: 37797723 DOI: 10.1016/j.arr.2023.102082] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.
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Affiliation(s)
- Elsa Dent
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Peter Hanlon
- School of Health and Wellbeing, University of Glasgow, Scotland, UK
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, Western Australia, Australia; Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Faculty of Social Sciences, Unit of Health Sciences and Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Zuyun Liu
- Second Affiliated Hospital and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Erwin Stolz
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria
| | - Mario Ulises Pérez-Zepeda
- Instituto Nacional de Geriatría, Dirección de Investigación, ciudad de México, Mexico; Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac México Campus Norte, Huixquilucan Edo. de México
| | | | - Caroline Nicholson
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Jenny Job
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Rachel C Ambagtsheer
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Paul R Ward
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Sandra M Shi
- Hinda and Arthur Marcus Institute for Aging, Hebrew Senior Life, Boston, Massachusetts, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Quan Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science and Department of General Practice, Amsterdam UMC, Location VU University Medical Center, Amsterdam, Netherlands; Amsterdam Public Health research institute, Ageing & Later Life Research Program, Amsterdam UMC, Amsterdam, the Netherlands.
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Masoli JAH, Todd O, Burton JK, Wolff C, Walesby KE, Hewitt J, Conroy S, van Oppen J, Wilkinson C, Evans R, Anand A, Hollinghurst J, Bhanu C, Keevil VL, Vardy ERLC. New horizons in the role of digital data in the healthcare of older people. Age Ageing 2023; 52:afad134. [PMID: 37530442 PMCID: PMC10394991 DOI: 10.1093/ageing/afad134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Indexed: 08/03/2023] Open
Abstract
There are national and global moves to improve effective digital data design and application in healthcare. This New Horizons commentary describes the role of digital data in healthcare of the ageing population. We outline how health and social care professionals can engage in the proactive design of digital systems that appropriately serve people as they age, carers and the workforce that supports them. KEY POINTS Healthcare improvements have resulted in increased population longevity and hence multimorbidity. Shared care records to improve communication and information continuity across care settings hold potential for older people. Data structure and coding are key considerations. A workforce with expertise in caring for older people with relevant knowledge and skills in digital healthcare is important.
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Affiliation(s)
- Jane A H Masoli
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
- Healthcare for Older People, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Oliver Todd
- Academic Unit for Ageing and Stroke Research, University of Leeds, Leeds, UK
| | - Jennifer K Burton
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK
| | - Christopher Wolff
- Healthcare for Older People, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Katherine E Walesby
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | | | - Simon Conroy
- Medical Research Council (MRC) Unit for Lifelong Health and Ageing, University College London, London, UK
| | - James van Oppen
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Chris Wilkinson
- Hull-York Medical School, University of York, Heslington, UK
- Academic Cardiovascular Unit, South Tees NHS Foundation Trust, Middlesbrough, UK
| | - Ruth Evans
- Academic Unit for Ageing and Stroke Research, University of Leeds, Leeds, UK
| | - Atul Anand
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Joe Hollinghurst
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Cini Bhanu
- School of Medicine, Cardiff University, Cardiff, UK
| | - Victoria L Keevil
- Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Emma R L C Vardy
- Department of Ageing and Complex Medicine, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK
- Manchester Academic Health Science Network, School of Health Sciences, and National Institute of Health and Care Research (NIHR) Applied Research Collaboration Greater Manchester, University of Manchester, Manchester, UK
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Luo J, Liao X, Zou C, Zhao Q, Yao Y, Fang X, Spicer J. Identifying Frail Patients by Using Electronic Health Records in Primary Care: Current Status and Future Directions. Front Public Health 2022; 10:901068. [PMID: 35812471 PMCID: PMC9256951 DOI: 10.3389/fpubh.2022.901068] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/31/2022] [Indexed: 11/21/2022] Open
Abstract
With the rapidly aging population, frailty, characterized by an increased risk of adverse outcomes, has become a major public health problem globally. Several frailty guidelines or consensuses recommend screening for frailty, especially in primary care settings. However, most of the frailty assessment tools are based on questionnaires or physical examinations, adding to the clinical workload, which is the major obstacle to converting frailty research into clinical practice. Medical data naturally generated by routine clinical work containing frailty indicators are stored in electronic health records (EHRs) (also called electronic health record (EHR) data), which provide resources and possibilities for frailty assessment. We reviewed several frailty assessment tools based on primary care EHRs and summarized the features and novel usage of these tools, as well as challenges and trends. Further research is needed to develop and validate frailty assessment tools based on EHRs in primary care in other parts of the world.
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Affiliation(s)
- Jianzhao Luo
- International Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyang Liao
- International Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Xiaoyang Liao ; orcid.org/0000000344099674
| | - Chuan Zou
- Department of General Practice, Chengdu Fifth People's Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qian Zhao
- International Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
- Qian Zhao ; orcid.org/0000000295405726
| | - Yi Yao
- International Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiang Fang
- International Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - John Spicer
- GP and Senior Lecturer in Medical Law and Clinical Ethics, Institute of Medical and Biomedical Education, St George's University of London, London, United Kingdom
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