University of Leicester
Browse

File(s) under embargo

Reason: 12 month publisher embargo

2

month(s)

5

day(s)

until file(s) become available

New Horizons in Evidence Synthesis for Older Adults

Version 2 2023-12-15, 14:34
Version 1 2023-10-27, 11:26
journal contribution
posted on 2023-12-15, 14:34 authored by Nicola Cooper, Evi Germeni, Suzanne Freeman, Nishant Jaiswal, Clareece Nevill, Alex Sutton, Martin Taylor-Rowan, Terence Quinn

Evidence synthesis, embedded within a systematic review of the literature, is a well-established approach for collating and combining all the relevant information on a particular research question. A robust synthesis can establish the evidence base, which underpins best practice guidance. Such endeavours are frequently used by policymakers and practitioners to inform their decision making. Traditionally, an evidence synthesis of interventions consisted of a meta-analysis of quantitative data comparing two treatment alternatives addressing a specific and focussed clinical question. However, as the methods in the field have evolved, especially in response to the increasingly complex healthcare questions, more advanced evidence synthesis techniques have been developed. These can deal with extended data structures considering more than two treatment alternatives (network meta-analysis) and complex multicomponent interventions. The array of questions capable of being answered has also increased with specific approaches being developed for different evidence types including diagnostic, prognostic and qualitative data. Furthermore, driven by a desire for increasingly up-to-date evidence summaries, living systematic reviews have emerged. All of these methods can potentially have a role in informing older adult healthcare decisions. The aim of this review is to increase awareness and uptake of the increasingly comprehensive array of newer synthesis methods available and highlight their utility for answering clinically relevant questions in the context of older adult research, giving examples of where such techniques have already been effectively applied within the field. Their strengths and limitations are discussed, and we suggest user-friendly software options to implement the methods described.

History

Author affiliation

Department of Population Health Sciences, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

Age and Ageing

Volume

52

Issue

11

Publisher

Oxford University Press (OUP)

issn

1468-2834

Copyright date

2023

Available date

2024-11-13

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC