Evidence map›Paper›PMID 42432674›Full record

ArticleBMC medicine2026

Mapping quality of primary care among 0.5 million people with multiple long-term conditions in England, 2015-2024: a retrospective cohort study using electronic health records.

Qian Gao, Meryem Cicek, Benedict Hayhoe, Geva Greenfield, Michaela Otis, Gesthimani Misirli, Azeem Majeed, Paul Aylin, Alex Bottle

Abstract read
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Article in BMC 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qian GaoSchool of Public Health, Imperial College London, London, UK. q.gao@imperial.ac.uk.
Meryem CicekSchool of Public Health, Imperial College London, London, UK.
Benedict HayhoeSchool of Public Health, Imperial College London, London, UK.
Geva GreenfieldSchool of Public Health, Imperial College London, London, UK.
Michaela OtisSchool of Public Health, Imperial College London, London, UK.
Gesthimani MisirliSchool of Public Health, Imperial College London, London, UK.
Azeem MajeedSchool of Public Health, Imperial College London, London, UK.
Paul AylinSchool of Public Health, Imperial College London, London, UK.
Alex BottleSchool of Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the number of people with multimorbidity continues to increase, the traditional medical care model - based on single disease models - has become increasingly unsuitable to meet current challenges, leading to concerns about the quality of primary care for patients with multimorbidity. This study aimed to evaluate the quality of care for people with multimorbidity in primary care, using quality indicators identified in Electronic Health Records (EHR) data.

methodsThis study used EHR from the Discover-NOW Hub for April 2015-2024, covering 95% of northwest London's population. Through review of literature and clinical guidelines, we identified eight generic and six multimorbidity-specific quality indicators (QIs) for primary care, with consideration of the availability of indicators within EHR data. The final list was derived following discussion with people with lived experience of multimorbidity and clinicians. We used heat maps to report the QI attainment levels and conducted Ordinary Least Squares and logistic regression analyses to assess sociodemographic and health-related inequalities in relation to generic and multimorbidity-specific QI.

resultsThis study included 509,782 adult patients with multimorbidity. Attainment on generic QIs (range 23.5%-79.8%) was generally higher than multimorbidity-specific indicators (< 30%). QIs were generally stable over the past decade, but significantly reduced during the COVID-19 pandemic and fluctuated across individual QIs. Compared with healthier multimorbidity groups, those living with more comorbidities, polypharmacy and more severe frailty had higher levels of QI scores and had higher odds of uptake of individual QIs. Notably, we found socioeconomic inequalities, especially regarding ethnicity and neighbourhood deprivation, though this varied by QI.

conclusionsThis study provides real-world evidence of the quality of primary care among multimorbidity patients. There was lower attainment on multimorbidity-specific QI than general indicators, with less affluent and some minority ethnic groups less likely to receive good care. Policymakers should focus on approaches to improve the support of primary care clinicians in the delivery of person-centred care for individuals with multimorbidity. Further research is needed to explore the underlying mechanisms for differential QI attainment and support primary care teams to improve the quality of care for people with multimorbidity.

Indexed as

Electronic Health RecordsMultimorbidityPrimary Health CareQuality Indicators, Health CareQuality of Health CareAgedEnglandFemaleHumansMaleMiddle AgedRetrospective StudiesEnglandmultiple long-term conditionsprimary carequality of care

Identifiers

PMID42432674
PMCPMC13644081

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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.