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The use of public performance reporting by general practitioners: a study of perceptions and referral behaviours

Overview of attention for article published in BMC Primary Care, February 2018
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Title
The use of public performance reporting by general practitioners: a study of perceptions and referral behaviours
Published in
BMC Primary Care, February 2018
DOI 10.1186/s12875-018-0719-4
Pubmed ID
Authors

Khic-Houy Prang, Rachel Canaway, Marie Bismark, David Dunt, Margaret Kelaher

Abstract

Public 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. We 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. We 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. Our 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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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Researcher 3 6%
Student > Postgraduate 3 6%
Student > Ph. D. Student 3 6%
Student > Doctoral Student 2 4%
Other 7 14%
Unknown 22 43%
Readers by discipline Count As %
Nursing and Health Professions 6 12%
Business, Management and Accounting 5 10%
Medicine and Dentistry 4 8%
Social Sciences 3 6%
Psychology 2 4%
Other 7 14%
Unknown 24 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2018.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from BMC Primary Care
#1,612
of 2,359 outputs
Outputs of similar age
#274,820
of 454,408 outputs
Outputs of similar age from BMC Primary Care
#29
of 43 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 454,408 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.