Evidence map›Paper›PMID 29703654›Full record

ArticleHealth policy (Amsterdam, Netherlands)2018

Should interventions to reduce variation in care quality target doctors or hospitals?

Nils Gutacker, Karen Bloor, Chris Bojke, Kieran Walshe

Open access · hybridAbstract read
In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Adherence to national trauma triage criteria in Norway: a cross-sectional study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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 at 3 institutions in 1 country.

Nils GutackerCentre for Health Economics, University of York, Heslington, York, YO10 5DD, United Kingdom. Electronic address: nils.gutacker@york.ac.uk.
Karen BloorDepartment of Health Sciences, University of York, United Kingdom. Electronic address: karen.bloor@york.ac.uk.
Chris BojkeCentre for Health Economics, University of York, United Kingdom. Electronic address: c.bojke@leeds.ac.uk.
Kieran WalsheAlliance Manchester Business School, University of Manchester, United Kingdom. Electronic address: kieran.walshe@manchester.ac.uk.
University of York · GBCentre for Social Justice · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interventions to reduce variation in care quality are increasingly targeted at both individual doctors and the organisations in which they work. Concerns remain about the scope and consequences for such performance management, the relative contribution of individuals and organisations to observed variation, and whether performance can be measured reliably. This study explores these issues in the context of the English National Health Service by analysing comprehensive administrative data for all patients treated for four clinical conditions (acute myocardial infarction, hip fracture, pneumonia, ischemic stroke) and two surgical procedures (coronary artery bypass, hip replacement) during April 2010-February 2013. Performance indicators are defined as 30-day mortality, 28-day emergency readmission and inpatient length of stay. Three-level hierarchical generalised linear mixed models are estimated to attribute variation in case-mix adjusted indicators to individual doctors and hospital organisations. Except for length of stay after hip replacement, no more than 11% of variation in case-mix adjusted performance indicators can be attributed to doctors and organisations with the rest reflecting random chance and unobserved patient factors. Doctor variation exceeds hospital variation by a factor of 1.2 or more. However, identifying poor performance amongst doctors is hampered by insufficient numbers of cases per doctor to reliably estimate their individual performances. Policy makers and regulators should therefore be cautious when targeting individual doctors in performance improvement initiatives.

Indexed as

Quality Indicators, Health CareAgedEnglandFemaleHospital MortalityHospitalsHumansLength of StayMaleNational Health ProgramsPatient ReadmissionPhysiciansReproducibility of ResultsDoctorHospitalMultilevel modellingPerformance measurementReliability

Identifiers

PMID29703654
PMCPMC6022214
OpenAlexW2798215960

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.