Evidence map›Paper›PMID 33243813›Full record

ArticleBMJ open2020

How can patient experience scores be used to predict quality inspection ratings? A retrospective cross-sectional study of national primary care datasets in the UK.

Amy Tallett, Alan J Poots, Chris Graham, Michele Peters, Rory Corbett, Steve Sizmur, Julien Forder

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Amy TallettPicker Institute Europe, Oxford, Oxfordshire, UK amy.tallett@pickereurope.ac.uk.ORCID 0000-0002-3386-0731
Alan J PootsPicker Institute Europe, Oxford, Oxfordshire, UK.ORCID 0000-0002-2331-0904
Chris GrahamPicker Institute Europe, Oxford, Oxfordshire, UK.ORCID 0000-0002-6410-8171
Michele PetersNuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK.ORCID 0000-0002-0076-5981
Rory CorbettPicker Institute Europe, Oxford, Oxfordshire, UK.
Steve SizmurPicker Institute Europe, Oxford, Oxfordshire, UK.ORCID 0000-0001-9776-8531
Julien ForderPSSRU, University of Kent, Canterbury, UK.ORCID 0000-0001-7793-4328

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe relationship between patient feedback in the General Practice Patient Survey (GPPS) and Care Quality Commission (CQC) inspections of practices was investigated to understand whether there is an association between patient views and regulator ratings of quality. The specific aims were to understand whether patients' self-reported experiences of primary care can predict CQC inspection ratings of GP practices by: (i) Measuring the association between GPPS results and CQC inspection ratings of GP practices; (ii) Building a predictive model of GP practice quality ratings that use GPPS results; and (iii) Evaluating the predictive model for risk stratification.

designRetrospective analysis of routinely collected data using decision tree modelling.

settingPrimary care: GP practices in England. PRIMARY AND SECONDARY OUTCOME MEASURES: GPPS scores and GP practice CQC inspection ratings during 2018.

resultsMost GP practices (72%, 974/1350) were rated as 'Good' overall by CQC. Simply assuming that all practices will be rated as 'Good' results in a correct prediction 72% of the time, and it was not possible to improve on this overall level of predictive accuracy using decision tree modelling (correct in 73% of cases). However, a set of GPPS questions were found to have value in identifying practices at elevated risk of a poor inspection rating.

conclusionsAlthough there were some associations between GPPS data and CQC inspection ratings, there were limitations to the use of GPPS data for predictive analysis. This is a likely result of the majority of CQC inspections of GPs resulting in a 'Good' or 'Outstanding' rating. However, some GPPS questions were found to have value in identifying practices at higher risk of an 'Inadequate' or 'Requires Improvement' rating, and this may be valuable for surveillance purposes. For example, the CQC could use key questions from the survey to target inspection planning.

Indexed as

Primary Health CareEnglandHumansPatient Outcome AssessmentQuality of Health CareRetrospective StudiesUnited Kingdomhealth policyhealth & safetyprimary carequality in health carerisk management

Identifiers

PMID33243813
PMCPMC7692819

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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.