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BackgroundThe Agency for Healthcare Research and Quality held a research meeting on using Consumer Assessment of Healthcare Providers and Systems (CAHPS®) data for quality improvement (QI) and evaluating such efforts.Topics covered.Meeting addressed: 1)What has been learned about organizational factors/environment needed to improve patient experience? 2)How have organizations used data to improve patient experience? 3)What can evaluations using CAHPS data teach us about implementing successful programs to improve patient experience?Key themesProviders and stakeholders need to be engaged early and often, standardize QI processes, complement CAHPS data with other data, and compile dashboards of CAHPS scores to identify and track improvement. Rigorous study designs are valuable, but much can be learned and accomplished through practical organization-level studies.

Patient care experience surveys evaluate the degree to which care is patient-centered. This article reviews the literature on the association between patient experiences and other measures of health care quality. Research indicates that better patient care experiences are associated with higher levels of adherence to recommended prevention and treatment processes, better clinical outcomes, better patient safety within hospitals, and less health care utilization. Patient experience measures that are collected using psychometrically sound instruments, employing recommended sample sizes and adjustment procedures, and implemented according to standard protocols are intrinsically meaningful and are appropriate complements for clinical process and outcome measures in public reporting and pay-for-performance programs.

Patient care experience surveys evaluate the degree to which care is patient-centered. This article reviews the literature on the association between patient experiences and other measures of health care quality. Research indicates that better patient care experiences are associated with higher levels of adherence to recommended prevention and treatment processes, better clinical outcomes, better patient safety within hospitals, and less health care utilization. Patient experience measures that are collected using psychometrically sound instruments, employing recommended sample sizes and adjustment procedures, and implemented according to standard protocols are intrinsically meaningful and are appropriate complements for clinical process and outcome measures in public reporting and pay-for-performance programs.

Patient narratives have emerged as promising vehicles for making health care more responsive by helping clinicians to better understand their patients' expectations, perceptions, or concerns and encouraging consumers to engage with information about quality. A growing number of websites incorporate patients' comments. But existing comments have fragmentary content, fail to represent less vocal patients, and can be manipulated to "manage" providers' reputations. In this article, we offer the first empirical test of the proposition that patient narratives can be elicited rigorously and reliably using a five-question protocol that can be incorporated into large-scale patient experience surveys. We tested whether elicited narratives about outpatient care are complete (report all facets of patient experience), balanced (convey an accurate mix of positive and negative events), meaningful (have a coherent storyline), and representative (draw fulsome narratives from all relevant subsets of patients). The tested protocol is strong on balance and representativeness, more mixed on completeness and meaningfulness. [ABSTRACT FROM AUTHOR]

We conducted a simulated clinician-choice experiment, comparing choices and decision-making processes of participants (N = 688) randomized among four experimental arms: a conventional website reporting only quantitative performance information, a website reporting both qualitative (patient comments) and quantitative information, the second website augmented by a decision aid (labeling of patient comments), and the decision-aided website further augmented by the presence of a trained navigator. Introducing patient comments enhanced engagement with the quality information but led to a decline in decision quality, particularly the consistency of choices with consumers' stated preferences. Labeling comments helped erase the decline in decision quality, although the highest percentage of preference-congruent choices was seen in the navigator arm. Engagement with the quality information and satisfaction with choices available were likewise highest in the navigator arm. Findings held for high- and low-skilled decision makers. Thus, navigator assistance may be a promising strategy for equitably promoting higher quality choices in information-rich contexts. [ABSTRACT FROM AUTHOR]

Health care consumers often make choices that are imperfectly informed and inconsistent with their expressed preferences. Past research suggests that these shortcomings become more pronounced as choices become more complex, through either additional options or more performance metrics. But it is unclear why this is true: Consumer choice remains a “black box” that research has scarcely illuminated. In this article, we identify four pathways through which complexity may impair consumer choice. We examine these pathways using data from an experiment in which consumers (hypothetically) selected a primary care physician. Some of the loss of decision quality accompanying more complex choice sets can be explained by consumers’ skills and decision-making style, but even after accounting for these factors, complexity undermines the quality of decision making in ways that cannot be fully explained. We conclude by discussing implications for report designers, sponsors, and policy makers aspiring to promote consumer empowerment and health care quality. [ABSTRACT FROM AUTHOR]

Objectives: To understand the views of prominent organizations in the field of healthcare quality on the topic of reporting roll-up measures that combine indicators of multiple, often disparate, dimensions of care to consumers., Study Design: This study used a semi-structured, qualitative interview design., Methods: We conducted 30- to 60-minute semi-structured telephone interviews with representatives of 10 organizations that sponsor public healthcare quality reports and 3 national alliances representing multiple stakeholder groups. We conducted a thematic analysis of interview transcriptions to identify common issues and concerns related to reporting roll-up measures., Results: Among sponsors reporting roll-up measures, current practices for calculating and reporting these measures are diverse. The main perceived benefit of reporting roll-up measures is that they simplify large amounts of complex information for consumers. The main concern is the potential for consumers to misunderstand the measures and what associated roll-up scores communicate about provider performance. Report sponsors and national alliances feel that more guidance and research on the methods for producing and reporting scores for roll-up measures are needed., Conclusions: The results of the interviews elucidate the need for research focused on construction and reporting of roll-up measures. Studies are needed to determine if roll-up measures are indeed perceived by consumers as being less complex and easier to understand.