New horizons in evidence-based care for older people: individual participant data meta-analysis.
Evidence-based decisions on clinical and cost-effectiveness of interventions are ideally informed by meta-analyses of intervention trial data. However, when undertaken, such meta-analyses in ageing research have typically been conducted using standard methods whereby summary (aggregate) data are ext...
| Publicado en: | Age & Ageing Vol. 51; no. 4; pp. 1 - 11 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Apr2022
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=156646887&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 156646887 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Apr2022 vid: 51 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 156646887 10.1093/ageing/afac090 ppf: 1 ppct: 10 formats: tig: atl: New horizons in evidence-based care for older people: individual participant data meta-analysis. aug: au: Clegg, Andrew Bandeen-Roche, Karen Farrin, Amanda Forster, Anne Gill, Thomas M Gladman, John Kerse, Ngaire Lindley, Richard McManus, Richard J Melis, Rene Mujica-Mota, Ruben Raina, Parminder Rockwood, Kenneth Teh, Ruth van der Windt, Danielle Witham, Miles affil: Academic Unit for Ageing & Stroke Research , University of Leeds, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK Department of Biostatistics , Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA Leeds Institute for Clinical Trials Research , University of Leeds, Leeds, UK Yale School of Medicine , Yale University, New Haven, CT, USA University of Nottingham , Nottingham, UK Department of General Practice and Primary Health Care , University of Auckland School of Population Health, Auckland, New Zealand Sydney Medical School , University of Sydney, Sydney, Australia Nuffield Department of Primary Care Health Sciences , University of Oxford, Oxford, UK Radboud UMC , Nijmegen, Netherlands Academic Unit of Health Economics , Leeds Institute of Health Sciences, University of Leeds, Leeds, UK Department of Health Evidence and Impact & McMaster Institute for Research on Aging , Faculty of Health Sciences, McMaster University, Hamilton, Canada Division of Geriatric Medicine , Dalhousie University, Halifax, Canada School of Medicine , Keele University, Keele, UK AGE Research Group , Newcastle University, Newcastle, UK su: Treatment of diabetes Hypertension Geriatrics Elder care Heart failure treatment Professional practice Meta-analysis Confidence intervals Frail elderly Evidence-based medicine Accidental falls sug: subj: Treatment of diabetes Hypertension Geriatrics Elder care Continuing Care Retirement Communities Heart failure treatment Professional practice Meta-analysis Confidence intervals Frail elderly Evidence-based medicine Accidental falls keyword: ageing frailty individual participant data meta-analysis older people stratified care ageing frailty individual participant data meta-analysis older people stratified care ab: Evidence-based decisions on clinical and cost-effectiveness of interventions are ideally informed by meta-analyses of intervention trial data. However, when undertaken, such meta-analyses in ageing research have typically been conducted using standard methods whereby summary (aggregate) data are extracted from published trial reports. Although meta-analysis of aggregate data can provide useful insights into the average effect of interventions within a selected trial population, it has limitations regarding robust conclusions on which subgroups of people stand to gain the greatest benefit from an intervention or are at risk of experiencing harm. Future evidence synthesis using individual participant data from ageing research trials for meta-analysis could transform understanding of the effectiveness of interventions for older people, supporting evidence-based and sustainable commissioning. A major advantage of individual participant data meta-analysis (IPDMA) is that it enables examination of characteristics that predict treatment effects, such as frailty, disability, cognitive impairment, ethnicity, gender and other wider determinants of health. Key challenges of IPDMA relate to the complexity and resources needed for obtaining, managing and preparing datasets, requiring a meticulous approach involving experienced researchers, frequently with expertise in designing and analysing clinical trials. In anticipation of future IPDMA work in ageing research, we are establishing an international Ageing Research Trialists collective, to bring together trialists with a common focus on transforming care for older people as a shared ambition across nations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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