Evidence map›Paper›PMID 28986012›Full record

ArticleThe Lancet. Oncology2017

Effect of patient choice and hospital competition on service configuration and technology adoption within cancer surgery: a national, population-based study.

Ajay Aggarwal, Daniel Lewis, Malcolm Mason, Arnie Purushotham, Richard Sullivan, Jan van der Meulen

Open access · bronzeAbstract read
In one paragraph

Article in The Lancet. Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
47.6field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 99 citations in OpenAlex.

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  16. Robotic surgery: getting the evidence right.The Medical journal of Australia · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Ajay AggarwalDepartment of Health Services Research & Policy, London School of Hygiene & Tropical Medicine, London, UK; Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK. Electronic address: ajay.aggarwal@lshtm.ac.uk.
Daniel LewisDepartment of Social and Environment Health Research, London School of Hygiene & Tropical Medicine, London, UK.
Malcolm MasonSchool of Medicine, Cardiff University, Cardiff, UK.
Arnie PurushothamDivision of Cancer Studies, Kings College London, London, UK.
Richard SullivanInstitute of Cancer Policy, Kings College London, London, UK.
Jan van der MeulenDepartment of Health Services Research & Policy, London School of Hygiene & Tropical Medicine, London, UK; Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK.
London School of Hygiene & Tropical Medicine · GBKing's College London · GBCardiff University · GB

Funding

Department of Health DRF-2014-07-064
6 · The paper itself

Abstract

backgroundThere is a scarcity of evidence about the role of patient choice and hospital competition policies on surgical cancer services. Previous evidence has shown that patients are prepared to bypass their nearest cancer centre to receive surgery at more distant centres that better meet their needs. In this national, population-based study we investigated the effect of patient mobility and hospital competition on service configuration and technology adoption in the National Health Service (NHS) in England, using prostate cancer surgery as a model.

methodsWe mapped all patients in England who underwent radical prostatectomy between Jan 1, 2010, and Dec 31, 2014, according to place of residence and treatment location. For each radical prostatectomy centre we analysed the effect of hospital competition (measured by use of a spatial competition index [SCI], with a score of 0 indicating weakest competition and 1 indicating strongest competition) and the effect of being an established robotic radical prostatectomy centre at the start of 2010 on net gains or losses of patients (difference between number of patients treated in a centre and number expected based on their residence), and the likelihood of closing their radical prostatectomy service.

findingsBetween Jan 1, 2010, and Dec 31, 2014, 19 256 patients underwent radical prostatectomy at an NHS provider in England. Of the 65 radical prostatectomy centres open at the start of the study period, 23 (35%) had a statistically significant net gain of patients during 2010-14. Ten (40%) of these 23 were established robotic centres. 37 (57%) of the 65 centres had a significant net loss of patients, of which two (5%) were established robotic centres and ten (27%) closed their radical prostatectomy service during the study period. Radical prostatectomy centres that closed were more likely to be located in areas with stronger competition (highest SCI quartile [0·87-0·92]; p=0·0081) than in areas with weaker competition. No robotic surgery centre closed irrespective of the size of net losses of patients. The number of centres performing robotic surgery increased from 12 (18%) of the 65 centres at the beginning of 2010 to 39 (71%) of 55 centres open at the end of 2014.

interpretationCompetitive factors, in addition to policies advocating centralisation and the requirement to do minimum numbers of surgical procedures, have contributed to large-scale investment in equipment for robotic surgery without evidence of superior outcomes and contributed to the closure of cancer surgery units. If quality performance and outcome indicators are not available to guide patient choice, these policies could threaten health services' ability to deliver equitable and affordable cancer care.

fundingNational Institute for Health Research.

Indexed as

Outcome Assessment, Health CareAgedEconomic CompetitionHealth Care SurveysHealth Services AccessibilityHospitalsHumansMaleMiddle AgedNational Health ProgramsPatient PreferenceProstatectomyProstatic NeoplasmsRetrospective StudiesRisk AssessmentRobotic Surgical Procedures

Identifiers

PMID28986012
PMCPMC5666166
OpenAlexW2762039701

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.