Evidence map›Paper›PMID 14626011›Full record

ArticleInternational journal of health care finance and economics2003

Hospital competition, GP fundholders and waiting times in the UK internal market: the case of elective surgery.

Ana Xavier

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of health care finance and economics, 2003. 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

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

5 citing papers in PubMed.

  1. Machine learning in patient flow: a review.Progress in biomedical engineering (Bristol, England) · 2021
    Review
  2. Inter-regional competition and quality in hospital care.The European journal of health economics : HEPAC : health economics in prevention and care · 2013
    Article
  3. Article
  4. Article
  5. Why do patients bypass the nearest hospital? An empirical analysis for orthopaedic care and neurosurgery in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2007
    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

1 author.

Ana XavierLicos-Centre for Transition Economics, Department of Economics, Katholieke Universiteit Leuven, Deberiostraat 34, 3000 Leuven, Belgium. ana.xavier@econ.kuleuven.ac.be

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper I model the demand for and supply of elective surgery using a modified Hotelling framework in which time, money, and distance are determinants of the demand for hospital care. Hospitals compete with each other in terms of the waiting time and consequently treat a certain number of patients. The basic model of hospital competition is then extended to incorporate the general practitioner (GP) fundholding scheme whereby the GPs are allocated a budget with which to buy care for their patients. Waiting time increases when production of care becomes more expensive, when the benefit obtained from treatment increases, when the unit cost of distance decreases, and when the importance given to time as a performance indicator decreases. The higher the money price the lower the waiting time. Finally, the money price paid by the GP fundholders is greater than that paid by the Health Authorities and greater than the hospitals marginal cost of production. As a consequence, fundholding patients pay a zero time price while non-fundholding patients experiment a positive waiting time.

Indexed as

Waiting ListsEconomic CompetitionElective Surgical ProceduresFamily PracticeHealth Services AccessibilityHealth Services Needs and DemandHospitals, PublicHumansModels, EconometricState MedicineUnited Kingdom

Identifiers

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.