A joint choice model of the decision to seek depression treatment and choice of provider sector

被引:40
作者
Fortney, J
Rost, K
Zhang, ML
机构
[1] VA Med Ctr, N Little Rock Div, HSR&D Field Program Mental Hlth 152NLR, N Little Rock, AR 72214 USA
[2] Univ Arkansas Med Sci, Dept Psychiat, Ctr Mental Healthcare Res, Little Rock, AR 72205 USA
关键词
depression; access; utilization; provider choice; nested logit model;
D O I
10.1097/00005650-199803000-00008
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
OBJECTIVES. 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 casemix 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) less than or equal to 0.05), indicating that the expected maximum utility of sector choice significantly affects the decision to seek treatment. Provider sector-specific access measures leg, insurance coverage and availability) significantly impacted sector choice and, thus, the decision to seek treatment. Subject-specific casemix factors leg, 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.
引用
收藏
页码:307 / 320
页数:14
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