Does multimorbidity pattern affect healthcare utilisation in older adults across different socioeconomic groups?
Participants aged 50 years and older from six longitudinal studies across 31 countries
Multimorbidity patterns (physical, psychological, cognitive)
Individuals without any conditions
Outpatient and inpatient healthcare utilisation
Cognitive disorders complicate the relationship between multimorbidity and health service use, highlighting potential unmet healthcare needs among lower socioeconomic groups and the protective role of health insurance.
Background The 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 findings This 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. Conclusions Cognitive 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.
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Wang et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69fc2c4b8b49bacb8b347d5c — DOI: https://doi.org/10.1371/journal.pmed.1005087
Yanshang Wang
Chang Cai
Zhenyu Shi
PLoS Medicine
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