ArticleBMC family practice2018
The use of public performance reporting by general practitioners: a study of perceptions and referral behaviours.
Article in BMC family practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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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.
The trial behind it
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies.International journal of environmental research and public health · 2022Pooled it
- Mechanisms and impact of public reporting on physicians and hospitals' performance: A systematic review (2000-2020).PloS one · 2021Pooled it
- The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments.The European journal of health economics : HEPAC : health economics in prevention and care · 2024Article
- Perspective of potential patients on the hospital volume-outcome relationship and the minimum volume threshold for total knee arthroplasty: a qualitative focus group and interview study.BMC health services research · 2021Article
- The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study.BMC health services research · 2021Article
- Article
- The impact of Australian healthcare reforms on emergency department time-based process outcomes: An interrupted time series study.PloS one · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublic performance reporting (PPR) of hospital data aims to improve quality of care in hospitals and to inform consumer choice. In Australia, general practitioners (GPs) are gatekeepers to secondary care with patients requiring their referral for non-emergency access. Despite their intermediary role, GPs have been generally overlooked as potential users of PPR of hospital data, with the majority of the PPR research focussing on consumers, surgeons and hospitals.
methodsWe examined the use of PPR of hospital data by GPs when referring patients to hospitals. Semi-structured interviews were conducted with 40 GPs, recruited via the Victorian Primary Care Practice-Based Research Network and GP teaching practices in Victoria, Australia. The interviews were recorded, transcribed and analysed thematically.
resultsWe found that the majority of GPs did not use PPR when referring patients to hospitals. Instead, they relied mostly on informal sources of information such as their own or patients' previous experiences. Barriers that prevented GPs' use of PPR in their decision making included: lack of awareness and accessibility; perceived lack of data credibility; restrictive geographical catchments for certain hospitals; limited choices of public hospitals in regional and rural areas; and no mandatory PPR for private hospitals.
conclusionsOur findings suggest that lack of PPR awareness prevented GPs from using it in their referral practice. As gatekeepers to secondary care, GPs are in a position to guide patients in their treatment decisions and referrals using available PPR data. We suggest that there needs to be greater involvement by GPs in the development of hospital performance and quality indicators in Australia if GPs are to make greater use of them. The indicators require further development before GPs perceive them as valid, credible, and of use for informing their referral practices.
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Registered trials
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.