Literature DB >> 22954169

Experiences of general practices with a participatory pay-for-performance program: a qualitative study in primary care.

Kirsten Kirschner1, Jozé Braspenning, J E Annelies Jacobs, Richard Grol.   

Abstract

The involvement of target users in the design choices of a pay-for-performance program may enhance its impact, but little is known about the views of participants in these programs. To explore general practices' experiences with pay-for-performance in primary care we conducted a qualitative study in general practices in the Netherlands. Thirty out of 65 general practices participating in a pay-for-performance program, stratified for bonus, were invited for a semistructured interview on feasibility, feedback and the bonus, spending of the bonus, unintended consequences, and future developments. Content analysis was used to process the resulting transcripts. We included 29 practices. The feasibility of the pay-for-performance program was questioned due to the substantial time investment. The feedback on clinical care, practice management and patient experience was mostly discussed in the team, and used for improvement plans, but was also qualified as annoying for one GP and for another GP it brought feelings of insecurity. Most practices considered the bonus a stimulus to improve quality of care, in addition to compensation for their effort and time invested. Distinctive performance features were not displayed, for instance, on a website. The bonus was mainly spent on new equipment or team building. Practices referred to gaming and focusing on those aspects that were incentivised ('tunnel vision') as unintended consequences. Future developments should be directed to absolute thresholds, new indicators to keep the process going, and an independent audit. Linking a part of the bonus to innovation was also suggested. The participants thought the pay-for-performance program was a labour-intensive positive breakthrough to stimulate quality improvement, but warned of unintended consequences of the program and the sustainability of the indicator set.

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Year:  2013        PMID: 22954169     DOI: 10.1071/PY12032

Source DB:  PubMed          Journal:  Aust J Prim Health        ISSN: 1448-7527            Impact factor:   1.307


  5 in total

Review 1.  Implementation Processes and Pay for Performance in Healthcare: A Systematic Review.

Authors:  Karli K Kondo; Cheryl L Damberg; Aaron Mendelson; Makalapua Motu'apuaka; Michele Freeman; Maya O'Neil; Rose Relevo; Allison Low; Devan Kansagara
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

2.  The impact of a point-of-care testing device on CVD risk assessment completion in New Zealand primary-care practice: A cluster randomised controlled trial and qualitative investigation.

Authors:  Sue Wells; Natasha Rafter; Timothy Kenealy; Geoff Herd; Kyle Eggleton; Rose Lightfoot; Kim Arcus; Angela Wadham; Yannan Jiang; Chris Bullen
Journal:  PLoS One       Date:  2017-04-19       Impact factor: 3.240

Review 3.  Clinical performance comparators in audit and feedback: a review of theory and evidence.

Authors:  Wouter T Gude; Benjamin Brown; Sabine N van der Veer; Heather L Colquhoun; Noah M Ivers; Jamie C Brehaut; Zach Landis-Lewis; Christopher J Armitage; Nicolette F de Keizer; Niels Peek
Journal:  Implement Sci       Date:  2019-04-24       Impact factor: 7.327

4.  Clinical Performance Feedback Intervention Theory (CP-FIT): a new theory for designing, implementing, and evaluating feedback in health care based on a systematic review and meta-synthesis of qualitative research.

Authors:  Benjamin Brown; Wouter T Gude; Thomas Blakeman; Sabine N van der Veer; Noah Ivers; Jill J Francis; Fabiana Lorencatto; Justin Presseau; Niels Peek; Gavin Daker-White
Journal:  Implement Sci       Date:  2019-04-26       Impact factor: 7.327

5.  Improvement of the quality payment program by improving data reporting process: an action research.

Authors:  Shabnam Iezadi; Jafar Sadegh Tabrizi; Akbar Ghiasi; Mostafa Farahbakhsh; Kamal Gholipour
Journal:  BMC Health Serv Res       Date:  2018-09-06       Impact factor: 2.655

  5 in total

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