Evidence map›Paper›PMID 42570246›Full record

ArticleHealth economics2026

Waiting Time Prioritisation for Public and Private Providers: Evidence From Hip Replacement Surgery.

Panos Kasteridis, Luigi Siciliani, Peter Sivey

Abstract read
In one paragraph

Article in Health economics, 2026. 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
  2. Review
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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.

Panos KasteridisCentre for Health Economics, University of York, York, UK.ORCID https://orcid.org/0000-0003-1623-4293
Luigi SicilianiDepartment of Economics and Related Studies, University of York, York, UK.ORCID https://orcid.org/0000-0003-1739-7289
Peter SiveyCentre for Health Economics, University of York, York, UK.ORCID https://orcid.org/0000-0002-3703-615X

Funding

National Institute for Health and Care Research PR-PRU-1217-20301
6 · The paper itself

Abstract

Waiting times for planned health care treatments have been increasing in England and other OECD countries. One policy to reduce the impact of waiting times on patients' health is for doctors to prioritise patients according to their health status. This study tests the extent to which publicly-funded patients in poorer health are prioritised on the list, and whether prioritisation differs between public and private providers. We use hospital administrative data in 2015-2021 on hip replacements in England. Our results provide evidence of inpatient waiting-time prioritisation (from specialist addition to list to admission for surgery) based on pre-operative health with a difference of at least 15 days between patients with lowest and highest pre-operative health. The gradient becomes steeper as waiting times increase, and much steeper during COVID-19. While outpatient waiting times (from referral to specialist visit) comprise a substantial proportion of total time waited (inpatient plus outpatient), we find limited evidence of outpatient waiting time prioritisation. Differences in inpatient waiting-time prioritisation between public and private providers are mostly due to different casemix and shorter average waiting times by private providers. We also simulate the effect of prioritisation policies that reduce inpatient waiting times for patients with low pre-operative health by 20% while simultaneously increasing it for those with high pre-operative health. We find that these policies could generate health gains of 183 QALYs in a given year. We conclude that there is scope for improving prioritisation of patients on the waiting list.

Indexed as

Arthroplasty, Replacement, HipHealth PrioritiesPrivate SectorPublic SectorWaiting ListsCOVID-19EnglandFemaleHumansState MedicineTime Factorscapacity constraintshealth careprioritisationprovider behaviourwaiting times

Identifiers

PMID42570246
PMCPMC13632919

What OpenQuestion holds

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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.