[Analysis of mental health care utilization data in comparison with medical-specialist and general practitioner health care consumption data].

Quantification of population-level socioeconomic-demographic factors impacting onset and course of health care consumption can help health care commissioning and public health planning.
AIM: To analyse associations between mental health care, medical-specialist care and general practitioner (GP) care with regional socioeconomic-demographic factors. Two cost parameters were examined: (i) absolute costs; and (ii) relative costs, defined as the proportion of PC3-level costs attributable to outliers (defined as costs above the 80th percentile - as a proxy for care intensity).
METHOD: Analysis of Vektis data over the period 2014-2017 in the age range of 18-65 years.
RESULTS: Mental health care cost variation was for 28% reducible to (younger) age, urbanicity, PC3-level ethnic density and PC3-level socioeconomic-demographic factors. Variation in medical-specialist care and GP care costs were reducible principally to (older) age. Costs attributable to outliers ranged from 34% for GP care to 55% for mental health care. Socioeconomic-demographic factors explained a substantial part of the variation in the PC3-level proportion of outlier costs for mental health care (31%), medical-specialist care (43%) and GP-care (33%).
CONCLUSION: Analysis of the degree and pattern of socioeconomic-demographic factors impacting mental health care can inform both public mental health planning and mental health care commissioning. Tijdschrift voor psychiatrie 63(2021)1, 39-47.