Demographic Predictors of Outpatient Mental Health Service Utilization in the United States

美国门诊精神健康服务利用情况的人口统计学预测因素

阅读:4

Abstract

Background Mental health disorders represent a growing public health concern in the United States, yet disparities in outpatient service utilization persist across demographic groups. Understanding these disparities is essential for targeted intervention and equitable resource allocation. This study aimed to identify independent demographic predictors of outpatient mental health service utilization using nationally representative data. Methodology We conducted a retrospective cross-sectional analysis using data from the National Hospital Ambulatory Medical Care Survey, aggregating outpatient visits from 2005 to 2011. Adults aged 18 and older were included. Mental health-related visits were identified using the International Classification of Diseases diagnostic codes and reason-for-visit criteria. Multivariate survey-weighted logistic regression was used to examine associations between service utilization and demographic variables, i.e., age, sex, race/ethnicity, and insurance status. Results Of the 134,500 adult outpatient visits analyzed, 1,469 visits (9.2% of 15,388 weighted visits) were classified as mental health-related. Adjusted analyses showed that Hispanic individuals (odds ratio (OR) = 0.056, 95% confidence interval (CI) = 0.012-0.260) and those of Other race/ethnicity (OR = 0.062, 95% CI = 0.001-0.484) had significantly lower odds of receiving mental health services compared to non-Hispanic Whites. Sex, age, and insurance type were not statistically significant predictors. Conclusions Racial and ethnic disparities remain a key barrier to equitable outpatient mental health care in the United States. Culturally tailored interventions are needed to improve access and utilization among underserved populations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。