Investigating Patient Satisfaction Through Online Reviews of Norwegian Dentists: A Quantitative Study using the Meaning Extraction Method
Permanent lenke
https://hdl.handle.net/10037/34811Dato
2023-05-24Type
Journal articleTidsskriftartikkel
Peer reviewed
Sammendrag
Objective: 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.
Methods: 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.
Results: Eight themes emerged from the analyses, of which 6 (75%)—explanation (odds ratio [OR] 2.56, 95% CI 2.16-3.04; P<.001), assurance (OR 3.61, 95% CI 2.57-5.06; P<.001), performance assessment (OR 2.17, 95% CI 1.84-2.55; P<.001), professional advice (OR 1.81, 95% CI 1.55-2.13; P<.001), facilities (OR 1.78, 95% CI 1.08-2.91; P=.02), and recommendation (OR 1.31, 95% CI 1.12-1.53; P<.001)—increased the odds of high patient satisfaction. The remaining themes (2/8, 25%)—consequences of treatment need (OR 0.24, 95% CI 0.20-0.29; P<.001) and patient-centered care (OR 0.62, 95% CI 0.52-0.74; P<.001)—reduced the odds of high patient satisfaction.
Conclusions: The meaning extraction method is an interesting approach to explore patients’ written accounts of encounters with dental health professionals. The experiences described by patients provide insight into key elements related to patient satisfaction that can be used in the education of dental health professionals and to improve the provision of dental health services.