Evidence map›Paper›PMID 36658550›Full record

ArticleBMC medicine2023

Ethnic inequalities in the impact of COVID-19 on primary care consultations: a time series analysis of 460,084 individuals with multimorbidity in South London.

Alice McGreevy, Marina Soley-Bori, Mark Ashworth, Yanzhong Wang, Emma Rezel-Potts, Stevo Durbaba, Hiten Dodhia, Julia Fox-Rushby

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  3. Review
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  7. Observational
  8. Exploring the experiences and preferences of South Asian patients' of primary care in England since COVID-19.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  9. 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 at 1 institution in 1 country.

Alice McGreevy *King's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK.
Marina Soley-Bori *King's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK. Marina.soley_bori@kcl.ac.uk.ORCID 0000-0002-8348-3575
Mark AshworthKing's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK.
Yanzhong WangKing's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK.
Emma Rezel-PottsKing's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK.
Stevo DurbabaKing's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK.
Hiten DodhiaKing's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK.
Julia Fox-RushbyKing's College London, School of Life Course & Population Sciences, Guy's Campus, Addison House, London, SE1 1UL, UK.
King's College London · GB

Funding

Guy's and St Thomas' Charity EIC180901
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic caused rapid changes in primary care delivery in the UK, with concerns that certain groups of the population may have faced increased barriers to access. This study assesses the impact of the response to the COVID-19 pandemic on primary care consultations for individuals with multimorbidity and identifies ethnic inequalities.

methodsA longitudinal study based on monthly data from primary care health records of 460,084 patients aged ≥18 years from 41 GP practices in South London, from February 2018 to March 2021. Descriptive analysis and interrupted time series (ITS) models were used to analyse the effect of the pandemic on primary care consultations for people with multimorbidity and to identify if the effect varied by ethnic groups and consultation type.

resultsIndividuals with multimorbidity experienced a smaller initial fall in trend at the start of the pandemic. Their primary care consultation rates remained stable (879 (95% CI 869-890) per 1000 patients in February to 882 (870-894) March 2020), compared with a 7% decline among people without multimorbidity (223 consultations (95% CI 221-226) to 208 (205-210)). The gap in consultations between the two groups reduced after July 2020. The effect among individuals with multimorbidity varied by ethnic group. Ethnic minority groups experienced a slightly larger fall at the start of the pandemic. Individuals of Black, Asian, and Other ethnic backgrounds also switched from face-to-face to telephone at a higher rate than other ethnic groups. The largest fall in face-to-face consultations was observed among people from Asian backgrounds (their consultation rates declined from 676 (659-693) in February to 348 (338-359) in April 2020), which may have disproportionately affected their quality of care.

conclusionsThe COVID-19 pandemic significantly affected primary care utilisation in patients with multimorbidity. While there is evidence of a successful needs-based prioritisation of multimorbidity patients within primary care at the start of the pandemic, inequalities among ethnic minority groups were found. Strengthening disease management for these groups may be necessary to control widening inequalities in future health outcomes.

Indexed as

COVID-19AdolescentAdultEthnicityHumansLondonLongitudinal StudiesMinority GroupsMultimorbidityPandemicsPrimary Health CareReferral and ConsultationTime FactorsCOVID-19 pandemicEthnic inequalitiesLong-term conditionsMultimorbidityPrimary care

Identifiers

PMID36658550
PMCPMC9851584
OpenAlexW4317501596

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LicenceCC BY
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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.