ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2020
Using quality indicators to predict inspection ratings: cross-sectional study of general practices in England.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- A Comparison of Regulatory Maternity Unit Ratings With Clinical Outcomes and Practice Measures: An Observational Study Using Routinely Collected Data.BJOG : an international journal of obstetrics and gynaecology · 2025Observational
- Association between regulator inspection and ratings on primary care prescribing: an observational study in England 2014 to 2019.BMC health services research · 2024Observational
- An overview and visual analysis of research on government regulation in healthcare.Frontiers in public health · 2023Review
- Comparing healthcare quality: A common framework for both ordinal and cardinal data with an application to primary care variation in England.Health economics · 2022Article
- Article
- The measurement and improvement of maternity service performance through inspection and rating: An observational study of maternity services in acute hospitals in England.Health policy (Amsterdam, Netherlands) · 2020Observational
- The Age of Hubris.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Care Quality Commission regulates, inspects, and rates general practice providers in England. Inspections are costly and infrequent, and are supplemented by a system of routine quality indicators, measuring patient satisfaction and the management of chronic conditions. These indicators can be used to prioritise or target inspections.
aimTo determine whether this set of indicators can be used to predict the ratings awarded in subsequent inspections. DESIGN AND
settingThis cross-sectional study was conducted using a dataset of 6860 general practice providers in England.
methodThe indicators and first-inspection ratings were used to build ordered logistic regression models to predict inspection outcomes on the four-level rating system ('outstanding', 'good', 'requires improvement', and 'inadequate') for domain ratings and the 'overall' rating. Predictive accuracy was assessed using the percentage of correct predictions and a measure of agreement (weighted
resultsThe model correctly predicted 79.7% of the 'overall' practice ratings. However, 78.8% of all practices were rated 'good' on 'overall', and the weighted
conclusionThe poor power of performance of these indicators to predict subsequent inspection ratings may call into question the validity and reliability of the indicators, inspection ratings, or both. A number of changes to the way data relating to performance indicators are collected and used are suggested to improve the predictive value of indicators. It is also recommended that assessments of predictive power be undertaken prospectively when sets of indicators are being designed and selected by regulators.
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