Rural-urban disparities in patient satisfaction with oral health care: a provincial survey

Identifying spatial variation in patient satisfaction is essential to improve the quality of care. Thus, the objective of this study was to investigate rural-urban disparities in patient satisfaction and to determine the factors that could influence satisfaction with oral health care.

Data from 1788 parents/caregivers of children who participated in the Quebec Ministry of Health clinical study were subject to secondary analysis. The Perneger model of patient satisfaction was used as the conceptual framework for the study. Satisfaction with oral health care was measured using the WHO-sponsored International Collaborative Study of Oral Health Outcomes (ICS-II). Explanatory variables included predisposing factors and enabling resources. Statistical analyses included descriptive statistics, as well as bivariate and linear regression models.

Individuals with higher income, dental insurance coverage, having a family dentist, reporting ease in finding a dentist, and having access to a private dental clinic were more satisfied with oral health care (p < 0.001). There were statistically significant differences between rural and urban Quebec residents in their ratings of patient satisfaction on four items, including dental office location (p = 0.013), dental equipment (p = 0.016), cost of dental treatment (p < 0.001), and cleanliness of dental office (p = 0.004), with greater satisfaction for urban dwellers. The multiple linear regression model showed that major determinants of patient satisfaction were being born in Canada, income ≥ 40,000$ CAD, having a family dentist, and having visited the dentist in the last year for regular checkups. However, ethnicity, having difficulty finding a dentist, and being in need of dental treatment negatively influenced patient satisfaction with oral health care.

These findings suggest that Quebec rural-urban disparity exists in patient satisfaction with care and that determinants of health influence this outcome. Intensive and powerful knowledge dissemination activities are needed to mobilize policymakers in implementing public health strategies to reduce this disparity.