Dentists’ attitudes toward patient-centered care and its predictors: a cross-sectional study in South Korea
Minjung Lee, Youngha Song, Myoungsoon You and 2 more
BMC Oral Health · 2023
doi:10.1186/s12903-023-02791-9 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Background Patient-centered care (PCC) has been one of medical practice’s most frequently discussed principles. However, attitudes toward PCC among dentists remain underexplored. This study focuses on examining dentists’ patient-centered attitudes and investigating their predictors. Methods The Patient–Practitioner Orientation Scale which consists of Sharing and Caring subscales was used to assess patient-centered attitudes. The statistical analysis included 217 dentists from South Korea. Hierarchical linear regression analysis was performed to examine the predictors such as sociodemographic aspects, academic factors, work-related factors, and empathy. Results A patient-centered attitude of Caring subscale (M = 4.29, SD = 0.56) emerged, but the provider-centered attitude was higher in Sharing subscale (M = 3.40, SD = 0.48). Work year, academic track, and empathy were associated significantly with an overall caring aspect of patient-centered attitude, while the gender effect remained insignificant. Empathy had a critical and significant impact on the patient-centered attitude. Conclusions Efforts to enhance patient-centeredness in Sharing are needed; post-graduate education and transition to a more patient-centered health system are recommended. Moreover, empathy still matters as it was found to be a significant predictor of patient-centered attitudes. The findings of this study support the need for efforts to enhance patient-centered attitudes among dentists, which will help generate discussion on improving the curriculum of post-graduate education and health system reform.
Abstract licence: CC BY-NC-ND
References55
40 more references, whose wording the paper’s licence keeps private.
All 55 referencesReads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.