Evidence map›Paper›PMID 40289569›Full record

ArticleInternational journal of social determinants of health and health services2025

Outsourcing National Health Service Surgery to the Private Sector: Waiting Time Inequality and the Making of a Two-Tier System for Hip and Knee Replacement in England.

Graham Kirkwood, Allyson M Pollock

Abstract read
In one paragraph

Article in International journal of social determinants of health and health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Graham KirkwoodPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-8897-316X
Allyson M PollockPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-7388-3110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzes National Health Service (NHS)-funded elective primary hip and knee replacement admissions and waiting times in England by provider (the NHS and private), socioeconomic deprivation and comorbidity, both prior to the introduction of Independent Sector Treatment Centers from 1997 to 2003 and following the rapid expansion in NHS contracts with the private sector from 2008 to 2019. Between 1997 and 2019, NHS-funded admission rates more than doubled. Between 2003 and 2008, when the proportion of patients treated in the private sector was negligible, admissions to the NHS increased and waiting times more than halved. After 2008, following the expansion in use of private providers by the NHS, NHS admission rates fell and waiting times rose for all patients. Waiting times for private providers were half those for the NHS, and the poorest 20 percent waited longer than the richest 20 percent. Between 2003 and 2019, inequalities in waiting time rose for the poorest 20 percent. The introduction of private providers into the NHS is associated with a contraction in in-house NHS provision, increasing waiting times for all patients and a two-tier system operating in favor of the rich.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeHealthcare DisparitiesOutsourced ServicesPrivate SectorState MedicineWaiting ListsAgedElective Surgical ProceduresEnglandFemaleHumansMaleMiddle AgedSocioeconomic Factorshealth inequitiesnational health serviceprivatizationsurgerywait time

Identifiers

PMID40289569
PMCPMC12371136

What OpenQuestion holds

Textmetadata
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.