Evidence map›Paper›PMID 37419643›Full record

Observational studyBMJ open2023

Healthcare utilisation in patients with long-term conditions during the COVID-19 pandemic: a population-based observational study of all patients across Greater Manchester, UK.

Camilla Sammut-Powell, Richard Williams, Matthew Sperrin, Owain Thomas, N Peek, Stuart W Grant

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Camilla Sammut-PowellDivision of Informatics, Imaging and Data Science, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.ORCID 0000-0002-5855-1492
Richard WilliamsDivision of Informatics, Imaging and Data Science, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.
Matthew SperrinDivision of Informatics, Imaging and Data Science, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.ORCID 0000-0002-5351-9960
Owain ThomasLangworthy Medical Practice, Salford, UK.
N PeekDivision of Informatics, Imaging and Data Science, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK niels.peek@manchester.ac.uk.
Stuart W GrantDivision of Cardiovascular Sciences, The University of Manchester, Manchester, UK.
Manchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

Department of Health IS-BRC-1215-20007Department of Health NIHR200174
6 · The paper itself

Abstract

objectivesData on population healthcare utilisation (HCU) across both primary and secondary care during the COVID-19 pandemic are lacking. We describe primary and secondary HCU stratified by long-term conditions (LTCs) and deprivation, during the first 19 months of COVID-19 pandemic across a large urban area in the UK.

designA retrospective, observational study.

settingAll primary and secondary care organisations that contributed to the Greater Manchester Care Record throughout 30 December 2019 to 1 August 2021.

participants3 225 169 patients who were registered with or attended a National Health Service primary or secondary care service during the study period. PRIMARY OUTCOMES: Primary care HCU (incident prescribing and recording of healthcare information) and secondary care HCU (planned and unplanned admissions) were assessed.

resultsThe first national lockdown was associated with reductions in all primary HCU measures, ranging from 24.7% (24.0% to 25.5%) for incident prescribing to 84.9% (84.2% to 85.5%) for cholesterol monitoring. Secondary HCU also dropped significantly for planned (47.4% (42.9% to 51.5%)) and unplanned admissions (35.3% (28.3% to 41.6%)). Only secondary care had significant reductions in HCU during the second national lockdown. Primary HCU measures had not recovered to prepandemic levels by the end of the study. The secondary admission rate ratio between multi-morbid patients and those without LTCs increased during the first lockdown by a factor of 2.40 (2.05 to 2.82; p<0.001) for planned admissions and 1.25 (1.07 to 1.47; p=0.006) for unplanned admissions. No significant changes in this ratio were observed in primary HCU.

conclusionMajor changes in primary and secondary HCU were observed during the COVID-19 pandemic. Secondary HCU reduced more in those without LTCs and the ratio of utilisation between patients from the most and least deprived areas increased for the majority of HCU measures. Overall primary and secondary care HCU for some LTC groups had not returned to prepandemic levels by the end of the study.

Indexed as

COVID-19State MedicineCommunicable Disease ControlDelivery of Health CareHumansPandemicsPatient Acceptance of Health CareRetrospective StudiesUnited KingdomCOVID-19EpidemiologyPublic health

Identifiers

PMID37419643
PMCPMC10335594
OpenAlexW4383535125

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.