Investigating Patient Satisfaction Through Web-Based Reviews of Norwegian Dentists: Quantitative Study Using the Meaning Extraction Method

Challenging encounters in health care professions, including in dentistry, are relatively common. Challenging encounters can be defined as stressful or emotional situations involving patients that could impact both treatment outcomes and patients' experiences. Through written web-based reviews,...

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Bibliographic Details
Published in:Journal of participatory medicine 2024-05, Vol.16, p.e49262-e49262
Main Authors: Larsen, Maria, Holde, Gro Eirin, Johnsen, Jan-Are Kolset
Format: Article
Language:English
Subjects:
Dentists
Dictionaries
Family physicians
Language
Literature reviews
Medical personnel
Original Paper
Patient satisfaction
Perceptions
Professionals
Ratings & rankings
User behavior
User generated content
Citations: Items that this one cites
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Summary:Challenging encounters in health care professions, including in dentistry, are relatively common. Challenging encounters can be defined as stressful or emotional situations involving patients that could impact both treatment outcomes and patients' experiences. Through written web-based reviews, patients can share their experiences with health care providers, and these posts can be a useful source for investigating patient satisfaction and their experiences of challenging encounters. This study aims to identify dominant themes from patient-written, web-based reviews of dentists and investigate how these themes are related to patient satisfaction with dental treatment. The study data consisted of 11,764 reviews written by dental patients, which included 1- to 5-star ratings on overall satisfaction and free-text comments. The free-text comments were analyzed using Linguistic Inquiry and Word Count software, and the meaning extraction method was used to group words into thematic categories. These themes were used as variables in a multilevel logistic regression analysis to predict patient satisfaction. Eight themes emerged from the analyses, of which 6 (75%)-explanation (odds ratio [OR] 2.56, 95% CI 2.16-3.04; P
ISSN:2152-7202
2152-7202
DOI:10.2196/49262