miércoles, 9 de octubre de 2019

A Rigorous Approach to Large-Scale Elicitation and Analysis of Patient Narratives. - PubMed - NCBI

2018 Oct 6:1077558718803859. doi: 10.1177/1077558718803859. [Epub ahead of print]

A Rigorous Approach to Large-Scale Elicitation and Analysis of Patient Narratives.

Schlesinger M1, Grob R2, Shaller D3, Martino SC4, Parker AM4, Rybowski L5, Finucane ML4, Cerully JL4.

Author information

1: 1 Yale University, New Haven, CT, USA.
2: 2 University of Wisconsin Law School, Madison, WI, USA.
3: 3 Shaller Consulting Group, Stillwater, MN, USA.
4: 4 RAND, Pittsburgh, PA, USA.
5: 5 The Severyn Group, Ashburn, VA, USA.

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.