Evidence map›Paper›PMID 39855666›Full record

ArticleBMJ open2025

Multimorbidity patterns and function among adults in low- and middle-income countries: a scoping review.

Karina Berner, Eugene Nizeyimana, Diribsa Tsegaye Bedada, Quinette A Louw

Abstract readScoping Review
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Karina BernerDivision of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa kberner@sun.ac.za.ORCID http://orcid.org/0000-0002-2255-371X
Eugene NizeyimanaDivision of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID http://orcid.org/0000-0003-0859-5013
Diribsa Tsegaye BedadaDepartment of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
Quinette A LouwDivision of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID http://orcid.org/0000-0003-0238-0943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo map the scope of available evidence on relationships between multimorbidity patterns and functioning among adults in low- and middle-income countries (LMICs), and describe methods used.

designScoping review guided by a five-step methodological framework and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews reporting guidelines. DATA SOURCES: PubMed/MEDLINE, Scopus, EBSCOhost (CINAHL) and Cochrane databases were searched from January 1976 to March 2023, plus reference lists of included studies. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Peer-reviewed full-text articles or conference proceedings of any design, published in English or Afrikaans, involving adults (>18 years) with multimorbidity living in LMICs. Studies had to refer to associations between multimorbid patterns of co-occurrence and functioning. Multimorbidity was defined as the coexistence of ≥2 diseases, including any combination of non-communicable, infectious and mental health conditions. DATA EXTRACTION AND SYNTHESIS: Data were extracted independently by two reviewers using a piloted form. Findings were synthesised according to methodological approaches, multimorbidity-pattern epidemiology, evidence gaps/limitations and recommendations for future research. The International Classification of Functioning, Disability and Health framework was used to classify functional problems.

resultsNine studies (total sample size: 62 003) were included, mainly from upper-middle-income Asian countries. Key methodological inconsistencies were identified in defining and operationalising multimorbidity, conditions included in determining patterns, statistical methods for pattern determination and functioning outcome measures. Five main multimorbidity pattern domains emerged: Cardio-Metabolic and Coronary Atherosclerotic, Musculoskeletal, Respiratory and Digestive/Visceral, Degenerative, and Mental Health-Related. Mobility limitations, instrumental activities of daily living, self-care and bowel/bladder problems were consistently linked to all pattern domains.

conclusionsThe limited and geographically skewed body of literature, along with methodological inconsistencies, hampers a comprehensive understanding of multimorbidity patterns and associations with functioning in LMICs. Future research should explore context-specific multimorbidity definitions, employ transparent methodologies, use standardised measures and incorporate diverse samples to inform tailored interventions and policies.

Indexed as

Developing CountriesMultimorbidityAdultHumansChronic DiseaseMultimorbidityPhysical Therapy Modalities

Identifiers

PMID39855666
PMCPMC11759209

What OpenQuestion holds

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Registered trials

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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.