Evidence map›Paper›PMID 35436843›Full record

ArticleBMC primary care2022

Changes in public satisfaction with GP services in Britain between 1998 and 2019: a repeated cross-sectional analysis of attitudinal data.

Motab Aljohani, Michael Donnelly, Ciaran O'Neill

Abstract read
In one paragraph

Article in BMC primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Motab AljohaniCentre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland. Maljohani01@qub.ac.uk.
Michael DonnellyCentre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland.
Ciaran O'NeillCentre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBetween 1998 and 2019, the structure and process of general practitioner services in Britain underwent a series of reforms and experienced distinct funding environments. This paper examines changes in satisfaction with GP services over time against this backdrop.

methodsData were extracted from the British Social Attitudes Survey for the period 1998-2019. Logistic regression analyses investigated changes in overall satisfaction and among specific population sub-groups differentiated by socio-demographic characteristics whilst taking account of time trend and interaction effects between sub-group membership and time trend.

resultsSustained and significant changes in satisfaction coincided closely with changes to the funding environment. Distinct patterns were evident among sub-groups. Satisfaction appeared to fall more sharply during austerity for low income groups, older people and people who had fewer formal qualifications/years in education.

conclusionWhile a series of policy initiatives were adopted over the period examined, public satisfaction seemed to move in a manner consistent with levels of government expenditure rather than exhibiting distinct breaks that coincided with policy initiatives. As services recover from the pandemic it will be necessary to invest in a significant and sustained way to rebuild public satisfaction.

Indexed as

General PractitionersPersonal SatisfactionAgedCross-Sectional StudiesDelivery of Health CareHumansUnited KingdomGP servicesHealth policyHealth reformsPatient satisfactionPrimary care

Identifiers

PMID35436843
PMCPMC9014779

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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.