A joint choice model of the decision to seek depression treatment and choice of provider sector.
OBJECTIVE
Using a community-based sample of currently depressed subjects, this research modeled the joint decision to seek depression treatment and choice of provider sector (primary care or specialty mental health). The objective was to identify those subject-specific case-mix factors and those provider sector-specific access measures that significantly impacted this joint decision.


METHODS
A community-based sample of 435 Arkansans with current depression symptoms was compiled using random digit dialing and the Burnam depression screener. Study subjects were administered baseline and 6-month follow-up surveys. All medical, pharmaceutical, and insurance records were collected and abstracted to verify service use and depression treatment. Three discrete choice model specifications were tested: sequential binary logit models, a multinomial logit model, and a nested logit model. The nested logit model makes less restrictive assumptions about the patterns of substitution across treatment alternatives than the other model specifications.


RESULTS
In the 6 months after baseline, 73.3% of the sample did not seek depression treatment, 18.9% sought care from a primary care provider, and 7.8% sought care from a mental health specialist. A likelihood ratio test identified the nested logit model as the preferred model specification (chi 2 < or = 0.05), indicating that the expected maximum utility of sector choice significantly affects the decision to seek treatment. Provider sector-specific access measures (e.g., insurance coverage and availability) significantly impacted sector choice and, thus, the decision to seek treatment. Subject-specific case-mix factors (e.g., age, gender, employment status, depression severity, and psychiatric comorbidity) significantly affected the decision to seek treatment.


CONCLUSIONS
Sector-specific access measures significantly impact both provider sector choice and the decision to seek treatment. Because the primary care and specialty care treatment alternatives were more substitutable with one another than with the no treatment option, changes in access affected sector choice more than the decision to seek treatment.
Fortney
J
J
University of Arkansas for Medical Sciences, Department of Psychiatry, Little Rock, USA. fortneyjohn@exchange.uams.edu
Rost
K
K
Zhang
M
M
D000328:Adult; D001131:Arkansas; D002755:Choice Behavior; D003661:Decision Support Techniques; D003863:Depression / Q000628:therapy*; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data; D005260:Female; D019981:Health Care Sector / Q000706:statistics & numerical data; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data; D011897:Random Allocation; D012424:Rural Population / Q000706:statistics & numerical data