Evidence map›Paper›PMID 42085482›Full record

ArticlePLoS medicine2026

Multimorbidity, health service use, and health insurance by socioeconomic groups in 31 countries: A multi-cohort study.

Yanshang Wang, Chang Cai, Zhenyu Shi, Qian Gao, Alex Bottle, Mansour Taghavi Azar Sharabiani, Joshua Stott, Benedict Hayhoe, Ping He

Abstract read
In one paragraph

Article in PLoS medicine, 2026. 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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yanshang WangSchool of Public Health, Peking University, Beijing, China.
Chang CaiSchool of Public Health, Imperial College London, London United Kingdom.ORCID https://orcid.org/0000-0003-0883-5021
Zhenyu ShiSchool of Public Health, Peking University, Beijing, China.
Qian GaoSchool of Public Health, Imperial College London, London United Kingdom.ORCID https://orcid.org/0000-0002-6906-1771
Alex BottleSchool of Public Health, Imperial College London, London United Kingdom.ORCID https://orcid.org/0000-0001-9978-2011
Mansour Taghavi Azar SharabianiSchool of Public Health, Imperial College London, London United Kingdom.ORCID https://orcid.org/0000-0003-3152-6577
Joshua StottAdaptlab, Department of Clinical and Educational Psychology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1361-053X
Benedict HayhoeSchool of Public Health, Imperial College London, London United Kingdom.
Ping HeChina Center for Health Development Studies, Peking University, Beijing, China.ORCID https://orcid.org/0000-0001-5040-5012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of physical, psychological, and cognitive multimorbidity is characterised by marked socioeconomic status (SES) inequalities. However, the relationships between multimorbidity patterns-particularly those involving cognitive conditions-and healthcare utilisation, as well as the role of health insurance, remain poorly understood. This study aims to explore healthcare-seeking behaviour among individuals with multimorbidity and assess whether these associations vary by SES and health insurance coverage. METHODS AND

findingsThis multicohort study analysed harmonised data from six longitudinal studies across 31 countries, including participants aged 50 years and older. Multimorbidity was defined as the coexistence of two or more disorders across physical, psychological, or cognitive disorders. Outpatient and inpatient healthcare utilisation were measured. Random-effects logistic regression models were used to estimate associations with healthcare utilisation, and random-effects negative binomial models were applied to analyse visit frequencies. All models were adjusted for age, gender, educational attainment, work status, marital status, and SES, as well as lifestyle factors. Country-specific estimates were pooled using multinational meta-analysis to generate overall effect sizes. Compared with individuals without any conditions, those with the most complex multimorbidity pattern (physical-psychological-cognitive multimorbidity) were more likely to use outpatient care (OR 3.21, 95% CI [2.39, 4.03]; p < 0.001) but not as high as those with physical-psychological multimorbidity (OR 7.84, 95% CI [6.59, 9.10]; p < 0.001). Additionally, the association varied across socioeconomic groups, individuals of lower SES experiencing more pronounced disparities in healthcare use. For inpatient care, adding a cognitive disorder to an existing physical or psychological condition was not associated with increased inpatient utilisation. Among individuals with health insurance coverage, the association between multimorbidity and outpatient care utilisation was generally attenuated. This was especially evident for those with physical-psychological-cognitive multimorbidity: insured individuals had an OR of 6.22 (95% CI [5.33, 7.25]; p < 0.001), compared with 3.40 (95% CI [3.03, 3.82]; p < 0.001) among uninsured individuals. A limitation of this study is that healthcare utilisation measures differed across cohorts and were harmonised retrospectively.

conclusionsCognitive disorders further complicate the relationship between multimorbidity and health service use, indicating potential unmet healthcare needs, especially among individuals with lower SES. Our study highlights the potential role of health insurance in reducing socioeconomic disparities in healthcare utilisation associated with multimorbidity.

Indexed as

Health ServicesInsurance, HealthMultimorbidityPatient Acceptance of Health CareSocial ClassAgedCohort StudiesFemaleHumansLongitudinal StudiesLow Socioeconomic StatusMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic Factors

Identifiers

PMID42085482
PMCPMC13160435

What Socratic holds

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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 Socratic graph.