Marion Crubezy, Céline Douay, Philippe Michel, Julie Haesebaert
BMC Health Serv Res. 2023 Sep 14;23(1):988. Free PMC article
Abstract
Background: Although patient experience surveys flourish in many countries with the aim to improve quality of care, questions remain concerning their ability to become effective drivers of change within institutions. The patient comments from the French national patient experience hospital survey were analysed using an innovative structured approach to characterise patient experience and identify field actions for the institutions.
Methods: The comments were taken from the two open-ended questions comprised in the patient experience survey of the Hospices Civils de Lyon between 2018 and 2019. The comments analysis methodology consisted in three steps: thematic analysis; syntactic analysis; generation of statistics for the creation of a patient journey and prioritisation of sub-themes. The STROBE statement checklist was followed.
Results: Over a year, 79.7% of the 7 362 respondents left at least one comment at the end of the survey and were included in the study, for a total of 5 868 surveys and 10 061 comments. These led to the identification of 28 general themes and 184 specific sub-themes. From the patient journey created, 23 sub-themes were prioritised and gathered into four key categories: relationship between patient and staff; environment; surgery and pain management; information and care coordination. For each of them, the actions and expectations formulated by the respondents were described.
Conclusions: The analysis of patient comments obtained from a standardised survey allowed to characterise the patient journey using data that describes patient experience, enabling a prioritisation of actions aiming to improve practice and quality of care at the institution, department, and staff level.
Keywords: Analysis of comments; Healthcare quality improvement; National patient experience surveys; Patient Experience; Patient-reported Experience Measures.
© 2023. BioMed Central Ltd., part of Springer Nature.
PMID: 37710317 PMCID: PMC10503051 DOI: 10.1186/s12913-023-09953-z
