Evidence map›Paper›PMID 40527965›Full record

ArticleCommunications medicine2025

Determining frailty index thresholds for older people across multiple countries in sub-Saharan Africa.

Gideon Dzando, Paul R Ward, Lillian Mwanri, Richard K Moussa, Justice Moses K Aheto, Rachel C Ambagtsheer

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gideon DzandoResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, Australia. Gideon.Dzando@torrens.edu.au.ORCID http://orcid.org/0000-0001-8852-7680
Paul R WardResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, Australia.ORCID http://orcid.org/0000-0002-5559-9714
Lillian MwanriResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, Australia.ORCID http://orcid.org/0000-0002-5792-7785
Richard K MoussaEcole Nationale Supérieure de Statistique et d'Economie Appliquée (ENSEA), Abidjan, Côte d'Ivoire.
Justice Moses K AhetoDepartment of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana.
Rachel C AmbagtsheerResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the increasing attention on frailty as a global public health concern, frailty screening among older people in Sub-Saharan Africa (SSA) continues to rely on instruments and thresholds from high-income countries. These instruments and thresholds may not be useful in SSA due to contextual differences. We explored the development of a frailty threshold for older people in SSA.

methodsWe utilized pooled cross-sectional data from four SSA countries (Kenya, Ghana, Uganda and Côte d'Ivoire) to determine a frailty index threshold for 5527 older people (50 years and above) using a two-step approach. The mean ages of the participants ranged from 62.13 (SD: 9.60) to 74.00 (SD: 9.40) years. The participants were mostly females across the four countries, ranging from 50.1% in Côte d'Ivoire to 65.3% in Kenya. Country-specific frailty thresholds were developed using the Receiver Operating Characteristics (ROC) method. The primary thresholds were further combined into a single threshold using random effects meta-analysis. Subgroup analyses and meta-regression were conducted to explore potential sources of heterogeneity in the pooled frailty threshold.

resultsHere we show the Area Under the Curves from the ROC analyses ranging between 0.91 (CI: 0.89, 0.93) and 0.94 (CI: 0.92, 0.97), with sensitivities ranging from 0.83 to 0.94 and specificities from 0.72 to 0.87. An overall threshold of 0.29 (95% CI: 0.25, 0.33) was obtained after pooled analysis of the country-specific thresholds.

conclusionsThis work demonstrates that using context-specific data can yield valuable insights into frailty thresholds among older people in SSA, enabling more culturally relevant interventions. Effective frailty screening must account for population-level differences, including demographic, health, and socio-cultural factors.

Identifiers

PMID40527965
PMCPMC12174359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.