Evidence map›Paper›PMID 31725874›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2020

Do performance indicators predict regulator ratings of healthcare providers? Cross-sectional study of acute hospitals in England.

Thomas Allen, Kieran Walshe, Nathan Proudlove, Matt Sutton

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Observational
  5. Using quality indicators to predict inspection ratings: cross-sectional study of general practices in England.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    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

4 authors.

Thomas AllenManchester Centre for Health Economics, University of Manchester, 4.305 Jean McFarlane Building, Oxford Road, Manchester M13 9PL, UK.
Kieran WalsheAlliance Manchester Business School, University of Manchester, Booth Street West, Manchester M15 6PB, UK.
Nathan ProudloveAlliance Manchester Business School, University of Manchester, Booth Street West, Manchester M15 6PB, UK.
Matt SuttonHealth Organisation, Policy and Economics, Division of Population Health, Health Services Research & Primary Care, Williamson Building, Oxford Road, University of Manchester, Manchester M13 9QQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether a large set of care performance indicators ('Intelligent Monitoring (IM)') can be used to predict the Care Quality Commission's (CQC) acute hospital trust provider ratings.

designThe IM dataset and first-inspection ratings were used to build linear and ordered logistic regression models for the whole dataset (all trusts). This was repeated for subsets of the trusts, with these models then applied to predict the inspection ratings of the remaining trusts.

settingThe United Kingdom Department of Health and Social Care's Care Quality Commission is the regulator for all health and social care services in England. We consider their first-inspection cycle of acute hospital trusts (2013-2016).

participantsAll 156 English NHS acute hospital trusts. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Percentage of correct predictions and weighted kappa.

resultsOnly 24% of the predicted overall ratings for the test sample were correct and the weighted kappa of 0.01 indicates very poor agreement between predicted and actual ratings. This lack of predictive power is also found for each of the rating domains.

conclusionWhile hospital inspections draw on a much wider set of information, the poor power of performance indicators to predict subsequent inspection ratings may call into question the validity of indicators, ratings or both. We conclude that a number of changes to the way performance indicators are collected and used could improve their predictive value, and suggest that assessing predictive power should be undertaken prospectively when the sets of indicators are being designed and selected by regulators.

Indexed as

Cross-Sectional StudiesEnglandHospitals, StateHumansQuality Indicators, Health CareQuality of Health CareState MedicineBritishdata analysisgovernment regulationhospital administrationNational Health Servicepatient safetystandardsstatistical

Identifiers

PMID31725874
PMCPMC7184898

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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.