ArticleBMJ open2025
Clinical, biographical and healthcare-related factors associated with accelerated health decline in persons with multimorbidity: an evidence mapping review protocol.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
introductionMultimorbidity contributes significantly to poor population health outcomes while straining healthcare systems. Although some multimorbid patients experience an accelerated health decline (a decline in well-being or functional status that cannot be attributed to the natural ageing-related health deterioration), others can remain stable for years. Identifying risk factors for accelerated health decline in persons with multimorbidity could help prevent complications and reduce unnecessary interventions. Our review, therefore, aims to map the evidence on the clinical, biographical and healthcare-related factors associated with an accelerated health decline in multimorbid individuals. METHODS AND ANALYSIS: We will use the evidence-mapping review methodology. We will perform a systematic comprehensive literature search in Medline via Pubmed, Cochrane Library, EMBASE, Web of Science and Google Scholar using two broad concepts: 'multimorbidity' and 'longitudinal studies'. We will search with MeSH terms (eg, 'Multimorbidity' (Majr), 'Longitudinal Studies' (Majr)) and free text words (eg, multimorbidity, multiple chronic condition*, longitudinal), from inception to date of the final search. All original quantitative studies involving participants in primary care and related healthcare settings will be included. Abstract/titles and full-text screening and data extraction will be performed independently by two or more researchers to minimise selection and reporting bias, with conflicts resolved by consensus. The data will be analysed qualitatively, and topics will be extracted to create evidence clusters. Risk factors will be classified in groups and cross-referenced against the outcomes from respective studies into combinations of exposure-outcome clusters. The resulting evidence clusters will be described narratively and presented as bubble plots. The search, initiated in January 2023, will be updated following this protocol review to reflect the most current evidence; exact dates will be reported in the results manuscript. ETHICS AND DISSEMINATION: Due to the nature of the proposed evidence map, ethics approval will not be required. Results from our research will be disseminated through publications in peer-reviewed journals and presentations at local, national and international conferences. OSF REGISTRATION DOI: https://osf.io/q72xa/.
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