Evaluating the Effectiveness of Patient-Centered Standardized Prophylaxis Processes in Enhancing Patient Satisfaction and Return Intentions

This study aimed to evaluate the effectiveness of a patient-centered standardized prophylaxis process in improving patient satisfaction and intentions to return to dental clinics. Conducted in a first-tier city in China from 9 June to 26 July 2023, the cross-sectional survey included 826 patients from 38 dental clinics. Among the respondents, 438 received standardized prophylaxis services, while 388 were in the non-standardized group, with a mean age of 38.2 ± 12.1 years and 50.24% male participation. The results revealed that patients in the standardized prophylaxis group reported significantly higher satisfaction scores (average 4.74 vs. 3.34, <i>p</i> < 0.0001) and greater intentions to return (average 4.77 vs. 4.10, <i>p</i> < 0.0001) compared to those receiving non-standardized care. The ordinal logistic regression analysis identified patient satisfaction as a strong predictor of return intention, with an odds ratio of 24.487, while the standardized service group had an odds ratio of 16.063, indicating a substantial positive effect on satisfaction. Age was also found to significantly affect return intention, reflected in an odds ratio of 0.969. Furthermore, the model showed strong predictive accuracy, which was supported by a Somers' D value of 0.806. Additionally, an impressive 89.9% of the observations were correctly ordered, which strengthens the reliability of the findings. These outcomes highlight the significant contribution of patient-centered, standardized practices to the satisfaction of the patients as well as the development of their desire to return for follow-up care. However, the findings should be interpreted with caution due to the study's cross-sectional nature, which limits causal inferences, and the specific demographic characteristics that may affect the general applicability of the results. Further research is needed to explore these dynamics across diverse populations and settings.