A Rigorous Approach to Large-Scale Elicitation and Analysis of Patient Narratives
- PMID: 30293521
- PMCID: PMC6731154
- DOI: 10.1177/1077558718803859
A Rigorous Approach to Large-Scale Elicitation and Analysis of Patient Narratives
Abstract
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.
Keywords: medical consumerism; online ratings; patient narratives; physician report cards; star ratings.
Conflict of interest statement
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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