Elsevier

Health Policy

Volume 123, Issue 1, January 2019, Pages 62-70
Health Policy

The impact of public performance reporting on health plan selection and switching: A systematic review and meta-analysis

https://doi.org/10.1016/j.healthpol.2018.10.003Get rights and content

Highlights

  • Review the evidence on public performance reporting (PPR) and consumer selection and switching of health plans.

  • PPR was associated with the selection of health plan and less health plans switching.

  • However, both effects were not statistically significant overall.

  • Differences were observed between employer-sponsored health insurance and Medicare/Medicaid insurance.

  • The small number of included studies limits the strength of our conclusions.

Abstract

The dissemination of public performance reporting (PPR) cards aims to increase utilisation of information on quality of care by consumers when making health plan choices. However, evaluations of PPR cards show that they have little impact on consumer choices. The aim of this study is to undertake a systematic review and meta-analysis of the impact of PPR cards in promoting health plan selection and switching between health plans by consumers. We searched five online databases and eight previous reviews for studies reporting findings on PPR and health plans. We extracted data and conducted quality assessment, systematic critical synthesis and meta-analyses on the included studies. We identified eight relevant health plan articles related to selection (n = 2), switching (n = 4), selection/switching (n = 2). Meta-analyses showed that PPR was associated with an improvement in health plan selection and a very small deterioration in switching health plans though these changes were not statistically significant. Differences were observed between employer-sponsored health insurance and Medicare/Medicaid insurance. Given the small number of studies included in the review, further research examining the impact of PPR on health plan selection and switching in a range of insurance markets is required.

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

References (55)

  • C.A. Minami et al.

    Public reporting in surgery: an emerging opportunity to improve care and inform patients

    Annals of Surgery

    (2015)
  • J. Pearse et al.

    The impact of public disclosure of health performance data: a rapid review

    (2010)
  • C.H. Fung et al.

    Systematic review: the evidence that publishing patient care performance data improves quality of care

    Annals of Internal Medicine

    (2008)
  • P. Campanella et al.

    The impact of public reporting on clinical outcomes: a systematic review and meta-analysis

    BMC Health Services Research

    (2016)
  • D.M. Berwick et al.

    Connections between quality measurement and improvement

    Medical Care

    (2003)
  • M.N. Marshall et al.

    The public release of performance data: what do we expect to gain? A review of the evidence

    JAMA

    (2000)
  • H.H. Schauffler et al.

    Consumer reports in health care: do they make a difference?

    Annual Review of Public Health

    (2001)
  • M. Faber et al.

    Public reporting in health care: how do consumers use quality-of-care information?: a systematic review

    Medical Care

    (2009)
  • N.A. Ketelaar et al.

    Public release of performance data in changing the behaviour of healthcare consumers, professionals or organisations

    (2011)
  • A.M. Totten et al.

    Closing the quality gap: revisiting the state of the science (vol. 5: public reporting as a quality improvement strategy)

    Evidence Report/Technology Assessment

    (2012)
  • J. Chen

    Public reporting of health system performance: a rapid review of evidence on impact on patients, providers and healthcare organisations

    (2010)
  • D.O. Farley et al.

    Effects of CAHPS health plan performance information on plan choices by New Jersey Medicaid beneficiaries

    Health Services Research

    (2002)
  • J.R. Moran et al.

    Preference diversity and the breadth of employee health insurance options

    Health Services Research

    (2001)
  • D.P. Scanlon et al.

    Managed care and performance measurement

    North American Actuarial Journal

    (2000)
  • D.F. Stroup et al.

    Meta-analysis of observational studies in epidemiology: a proposal for reporting

    JAMA

    (2000)
  • D.B. Mukamel et al.

    Top-down and bottom-up approaches to health care quality: the impacts of regulation and report cards

    Annual Review of Public Health

    (2014)
  • Y. Paradies et al.

    Racism as a determinant of health: a systematic review and meta-analysis

    PLoS One

    (2015)
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