The impact of public performance reporting on health plan selection and switching: A systematic review and meta-analysis
Introduction
The public reporting of hospital performance data (hereafter referred to as ‘PPR’) that occurs in Australia and other high income countries [[1], [2], [3]] is used to improve healthcare transparency and accountability, and as a mechanism to drive quality improvement and inform consumer decision-making [1,[4], [5], [6]]. PPR may improve quality of care either by triggering organisational change to improve quality or by enabling consumer, practitioners or funders to select away from poorly performing services [7].
Several systematic reviews have already been undertaken to identify existing peer-refereed research relating to the impacts of PPR [5,6,[8], [9], [10], [11], [12], [13]]. These reviews focused on different aspects of PPR and therefore yielded different results (see Appendix A). For example, some reviews focus on the mechanisms by which PPR exerts influence [12,14] while others focus on impacts [6]. There are numerous studies about the impact of consumer selection on health plans, hospital and clinician. The evidence concerning the influence on PPR on consumer behaviours is much stronger for selection of clinicians and health plans than for selection of hospitals [14], where the effect on consumer behaviour tends to be weak and transient, if observed at all [6,14]. One reason for this difference in effects may be, as Totten et al. [12] observed, that the characteristics of public reports and their context, have been rarely studied or even described. It is also not clear how constraints on consumer choice due to plans, geography, waiting time or clinician choice affect the magnitude of PPR effects. Greater PPR effects in studies of health plans may also reflect greater homogeneity among consumers in plan switching studies because the people involved in the studies have the same employer [[15], [16], [17]] or are eligible for the same schemes [18]. However this could be offset by the act that larger more diverse employers are the most likely to offer health plan choice [19].
In the current literature, studies looking at the impact of PPR at health plan level should therefore demonstrate the clearest link between PPR and the choices consumers are being asked to make. Evidence of the impact of PPR on consumer selection at health plan level may provide incentives for health plans to select away from lower quality providers [20]; thus, potentially increasing consumer’s power across different levels of choice. On a pragmatic level, there are sufficient comparable studies of health plans to make meta-analysis possible. Furthermore, previous reviews have tended to conflate studies of health plan selection and health plans switching [5,14]. While the parameters associated with these choices may be similar, it may be that different information or incentives are required to encourage a switch. Providing this greater conceptual clarity is a strong justification for a further systematic review and meta-analysis on health plans, given that the magnitude and type of impacts of PPR are not settled despite previous study.
This study was conducted as part of a wider systematic review and meta-analysis (where possible) of the impacts of PPR (e.g. process/structure measures, expert/peer assessed measures, healthcare outcomes and consumer experiences) on outcomes (e.g. selection, quality improvement, clinical outcomes, organisation change or unintended consequences) among healthcare purchasers (public and private), providers (organisations and individual clinicians) or consumers. In this paper, we described the impacts of PPR on consumer selection and switching of health plans that better meet their needs. Understanding whether consumer preferences for a particular health plan is influence by quality of care information can provide further insights into the mechanisms underpinning consumer choice processes and information needs. The availability of quality of care information and consumer sensitivity to such information may also stimulate health insurers to improve the quality of health plans on offer.
Section snippets
Search strategy
We identified articles through a literature search of five databases from their dates of inception to 16th April 2015: Medline; Embase; Psycinfo; the Cumulative Index to Nursing and Allied Health Literature (CINAHL); and Evidence-Based Medicine Reviews (EBMR). Our search strategy was based on the one used by Ketelaar et al. [11] which included randomised and quasi-randomised trials, interrupted time series and controlled before-after studies. We extended our search to include observational
Study selection and quality assessment
We identified 5961 articles from five databases and eight previous reviews (Fig. 1). Following titles and abstracts screening, we excluded 5875 articles (non-empirical studies, non-quantitative or non-evaluation-related studies), leaving 86 articles for full-text screening. Following full-text screening, we excluded 32 articles including 11 articles that were assessed to be of low quality. We included 59 articles in our synthesis, including five additional hand searched articles via reference
Discussion
The results suggest a positive association between PPR and health plan selection in three of the four studies included in our meta-analysis. However, this effect was non-significant overall. The studies where PPR effects were found focussed on employer-sponsored health insurance while the non-significant study focussed on choices between health plans for Medicaid users. PPR was associated with marginally lower levels of health plans switching in one of the three studies in our meta-analysis.
Conclusions
To our knowledge, this is the first systematic review and meta-analysis to synthesise and quantify the impact of PPR on health plan selection and switching by consumers. PPR was positively associated with health plan selection but less positively so with health plans switching, given the results were not statistically significant and substantial heterogeneity were observed. The meta-analysis also highlighted the need for greater research examining the impact of PPR on health plan selection in a
Conflict of interests
The authors declare that they have no competing interests.
Funding
This work was supportedby Medibank Better Health Foundation, Australia. Medibank Better Health Foundation was not involved in the study design, collection, analysis and interpretation of the data, and manuscript preparation. Views expressed are those of the authors and not the funding agency.
Authors’ contributions
MK and DD conceptualised and designed the study and obtained its funding. KP and HS conducted the second search. All authors screened titles, abstracts and full text for relevance. All authors conducted quality assessment of articles. KP and DD collected and analysed the data. MK and KP drafted the manuscript. All authors contributed to data interpretation and critically reviewed the manuscript. All authors read and approved the final manuscript.
Acknowledgements
We wish to thank Dr. Stuart McLennan who conducted the first search, Dr. Angela Nicholas and Andrea Timothy for screening the titles and abstracts from the first search, and Jim Berryman for assisting in the search strategies.
Declarations of interest: None
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