[E-Satis : A new method for analysis of Patient-Reported Outcome Measures (PROMs)].

Rev Epidemiol Sante Publique

Research on Healthcare Performance (RESHAPE), Inserm U1290, Université Claude Bernard Lyon 1, 69008, Lyon, France; Direction Qualité usagers et santé populationnelle, Hospices Civils de Lyon, 69002, Lyon, France.

Published: June 2023

AI Article Synopsis

  • The article details a new methodology for analyzing qualitative data from a patient satisfaction survey (e-Satis) that received a high volume of open-ended responses, aiming to better understand patient experiences.
  • The analysis involves three key steps: creating a thematic dictionary from free text comments, examining the syntax of responses for linguistic engagement, and producing statistics to characterize themes based on their frequency and sentiment.
  • The methodology was successfully applied to nearly 6,000 responses from a hospital, identifying 28 major themes and transforming subjective comments into actionable insights in the form of a priority matrix for healthcare improvements.

Article Abstract

Objective: Almost 80% of the patients responding to the nationwide French patient experience and satisfaction survey (e-Satis) provided free text comments. The objective of this article is to describe an innovative methodology for analysis of this qualitative data.

Methodology: This methodological approach is based on analysis of qualitative data from the comments (verbatims) of respondents to the e-Satis survey. Analysis of the verbatims consists in three main steps: (i) analysis of the meaning of the words, with constitution of a thematic dictionary through exploratory research without preconceived notions; (ii) analysis of the syntax, i.e., the way in which the ideas are articulated, which will enable calculation of a linguistic indicator of speakers' involvement in their speech; (iii) production of statistics and characterisation of the themes, which will include three indicators: occurrence of the themes, the average satisfaction shown in the respondents' discourse, and the positive and negative involvement with which they express themselves. Given these results, a priority matrix of four categories of action is established: strong points, priority areas, good practices, and weak signals.

Results: This methodological approach was applied to 5868 e-Satis questionnaires out of a total of 10,061 verbatims by respondents hospitalised at the Hospices Civils de Lyon between 2018 and 2019. The analysis identified 28 major themes with 184 sub-themes. An extract is presented in this article for illustration purposes.

Discussion: A methodological approach based on analysis of qualitative data will enable transformation of unstructured data (verbatims) into measurable and comparable data. This methodology is structured to overcome the limitations of closed questions; open questions allow respondents to describe their experiences and perceptions in their own words. Moreover, it is a first step toward comparability of results over time with those of other establishments. This approach is unique in France on account of (a) its exploratory thematic research without preconceived notions and (b) its syntactic analysis of verbatims.

Conclusions: This verbatim analysis methodology should enable precise and operational characterization of Patient Experience and induce prioritized improvement actions in healthcare institutions.

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Source
http://dx.doi.org/10.1016/j.respe.2023.101839DOI Listing

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