Evidence map›Paper›PMID 37468148›Full record

Observational studyBMJ (Clinical research ed.)2023

Associations between self-reported healthcare disruption due to covid-19 and avoidable hospital admission: evidence from seven linked longitudinal studies for England.

Mark A Green, Martin McKee, Olivia Kl Hamilton, Richard J Shaw, John Macleod, Andy Boyd, Srinivasa Vittal Katikireddi, LH&W NCS Collaborative

Abstract readObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
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.

Mark A GreenGeographic Data Science Lab, Department of Geography & Planning, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0942-6628
Martin McKeeDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-0121-9683
Olivia Kl HamiltonMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0002-5874-0058
Richard J ShawMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0002-7906-6066
John MacleodPopulation Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0001-8202-1144
Andy BoydPopulation Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0002-8614-3728
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0001-6593-9092
LH&W NCS Collaborative

Funding

Chief Scientist Office SCAF/15/02Medical Research Council MC_PC_20030Medical Research Council MC_PC_20059Medical Research Council MC_UU_00022/2Medical Research Council MR/W021242/1Medical Research Council MR/X021556/1
6 · The paper itself

Abstract

objectivesTo examine whether there is an association between people who experienced disrupted access to healthcare during the covid-19 pandemic and risk of an avoidable hospital admission.

designObservational analysis using evidence from seven linked longitudinal cohort studies for England.

settingStudies linked to electronic health records from NHS Digital from 1 March 2020 to 25 August 2022. Data were accessed using the UK Longitudinal Linkage Collaboration trusted research environment.

participantsIndividual level records for 29 276 people.

main outcome measuresAvoidable hospital admissions defined as emergency hospital admissions for ambulatory care sensitive and emergency urgent care sensitive conditions.

results9742 participants (weighted percentage 35%, adjusted for sample structure of longitudinal cohorts) self-reported some form of disrupted access to healthcare during the covid-19 pandemic. People with disrupted access were at increased risk of any (odds ratio 1.80, 95% confidence interval 1.39 to 2.34), acute (2.01, 1.39 to 2.92), and chronic (1.80, 1.31 to 2.48) ambulatory care sensitive hospital admissions. For people who experienced disrupted access to appointments (eg, visiting their doctor or an outpatient department) and procedures (eg, surgery, cancer treatment), positive associations were found with measures of avoidable hospital admissions.

conclusionsEvidence from linked individual level data shows that people whose access to healthcare was disrupted were more likely to have a potentially preventable hospital admission. The findings highlight the need to increase healthcare investment to tackle the short and long term implications of the pandemic, and to protect treatments and procedures during future pandemics.

Indexed as

COVID-19PandemicsDelivery of Health CareEnglandHospitalizationHospitalsHumansLongitudinal StudiesSelf Report

Identifiers

PMID37468148
PMCPMC10354595

What OpenQuestion holds

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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.