Scheduling models and primary health care quality: a multilevel and cross-sectional study

Abstract

OBJECTIVE: To evaluate whether the scheduling model influences the perception of the user about the quality of primary health care centers. METHODS: This is a cross-sectional and population-based study that measured the quality of centers by the Primary Care Assessment Tool (PCATool-Brazil), applied to adult users (n = 409) from 11 health centers in FlorianOpolis, state of Santa Catarina. Multilevel analysis was used to verify the relationship between the score of general quality of the primary health care and the scheduling model. The independent variables (age, skin color, scheduling model, panel size by primary health team, poverty ratio as income proxy, number of health teams, presence of economically interest areas, number of medical appointments in one year per primary health team, number of people treated in one year per health team), with p < 0.20 were selected for the multilevel model, which was adjusted with aggregates of information from users and health centers. RESULTS: The health center that used advanced access had a general score of 7.04, while those using a weekly carve-out had a score of 6.26; the carve-out every 15 days, score of 5.87; and the traditional carve-out, score of 6.29. CONCLUSIONS: The scheduling model of advanced access had a positive effect on the quality of primary health care, in the perception of users.