Understanding components and predictors of delay of first treatment for mental health problems: A hospital-based study in China

Abstract

Background: Understanding components and predictors of delay of first treatment for mental health problems are crucial to inform interventions for earlier treatment. However, Chinese-context knowledge of this theme is still limited. Methods: We conducted an inpatient survey among 206 patients with various mental disorders in China. Delay of first utilization of mental healthcare (Delay-Total) and its two components of help-seeking delay (Delay-H) and referral delay (Delay-R) were assessed in terms of occurrence and duration. Binary logistic regression was performed to test predictors of Delay-Total, Delay-H and Delay-R, and multiple linear regression was used to test predictors of delay durations. Results: Overall, 66.0% patients experienced Delay-Total, with a duration range of 0 to 353 months; 49.5% patients had Delay-H (duration range = 0–207 months) and 29.6% with Delay-R (duration range = 0–323 months). Multivariate logistic regression analysis found that the diagnosis of severe mental disorders was a consistent predictor for a reduced chance of Delay-Total, Delay-H and Delay-R. Multiple linear regression analysis demonstrated that younger age of disorder onset and disorder onset before 2016 were significantly associated with longer delay. Conclusions: Delay of first treatment for mental health problems is still common in China. However, the development of mental health policy and services promotes shorter treatment delay. The diagnosis of common mental disorders and younger age of onset are risk factors of the occurrence and duration of delay, respectively. Thus, education of the public and non-mental-healthcare professionals are needed for better disorder recognition and more efforts should be inputted to support youngsters’ utilization of mental healthcare.