Evidence map›Paper›PMID 33952533›Full record

SynthesisBMJ open2021

Systematic review on the instruments used for measuring the association of the level of multimorbidity and clinically important outcomes.

Eng Sing Lee, Hui Li Koh, Elaine Qiao-Ying Ho, Sok Huang Teo, Fang Yan Wong, Bridget L Ryan, Martin Fortin, Moira Stewart

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. How to assess multimorbidity: a systematic review.Frontiers in public health · 2025
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Reporting of pre-existing multiple long-term conditions in physical rehabilitation for long COVID: a scoping review.European respiratory review : an official journal of the European Respiratory Society · 2024
    Article
  16. Article
  17. Molecular Morbidity Score-Can MicroRNAs Assess the Burden of Disease?International journal of molecular sciences · 2024
    Review
  18. Article
  19. Article
  20. Screening for Academic Risk Among Students With Cleft Lip and/or Palate: Patterns of Risk and Qualities of Effective Tools.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2024
    Article
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

8 authors.

Eng Sing LeeClinical Research Unit, National Healthcare Group Polyclinics, Singapore Eng_Sing_LEE@nhgp.com.sg.ORCID 0000-0003-4963-535X
Hui Li KohClinical Research Unit, National Healthcare Group Polyclinics, Singapore.
Elaine Qiao-Ying HoSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Sok Huang TeoClinical Research Unit, National Healthcare Group Polyclinics, Singapore.
Fang Yan WongClinical Research Unit, National Healthcare Group Polyclinics, Singapore.
Bridget L RyanDepartment of Epidemiology and Biostatistics, Western University Schulich School of Medicine and Dentistry, London, Ontario, Canada.
Martin FortinDepartment of Family Medicine and Emergency Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
Moira StewartCentre for Studies in Family Medicine, Department of Family Medicine, Western University Schulich School of Medicine and Dentistry, London, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere are multiple instruments for measuring multimorbidity. The main objective of this systematic review was to provide a list of instruments that are suitable for use in studies aiming to measure the association of a specific outcome with different levels of multimorbidity as the main independent variable in community-dwelling individuals. The secondary objective was to provide details of the requirements, strengths and limitations of these instruments, and the chosen outcomes.

methodsWe conducted the review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO registration number: CRD42018105297). We searched MEDLINE, Embase and CINAHL electronic databases published in English and manually searched the

resultsNinety-six studies were identified, with 69 of them rated to have a low risk of bias. In total, 33 unique instruments were described. Disease Count and weighted indices like Charlson Comorbidity Index were commonly used. Other approaches included pharmaceutical-based instruments. Disease Count was the common instrument used for measuring all three essential core outcomes of multimorbidity research: mortality, mental health and quality of life. There was a rise in the development of novel weighted indices by using prognostic models. The data obtained for measuring multimorbidity were from sources including medical records, patient self-reports and large administrative databases.

conclusionsWe listed the details of 33 instruments for measuring the level of multimorbidity as a resource for investigators interested in the measurement of multimorbidity for its association with or prediction of a specific outcome.

Indexed as

MultimorbidityQuality of LifeAdultComorbidityDelivery of Health CareHumansPrimary Health Caregeneral medicine (see Internal Medicine)primary careprotocols & guidelines

Identifiers

PMID33952533
PMCPMC8103380

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.