社区精神卫生保健案例：县健康排名的横断面研究。

A community health case for psychiatric care: A cross-sectional study of county health rankings.

机构信息

Department of Health Sciences Research, Division of Health Care Policy and Research, Mayo Clinic Robert D. and Patricia E. Kern, Center for the Science of Health Care Delivery, Jacksonville, FL, USA.

Department of Public Health, Brooks College of Health, University of North Florida, 1 UNF Drive, Jacksonville, FL 32224, USA.

出版信息

Gen Hosp Psychiatry. 2019 Mar-Apr;57:1-6. doi: 10.1016/j.genhosppsych.2018.10.009. Epub 2018 Nov 2.

DOI:10.1016/j.genhosppsych.2018.10.009

PMID:30616094

Abstract

OBJECTIVES

To determine if there is an association between the provision of mental health services and county health rankings in the United States.

METHODS

We used retrospective population-based, 2016 U.S. county level cross-sectional analysis to determine the association of mental health services provision on U.S. counties health rankings. The key dependent variables in this study were the county health factor rankings (CHR). The presence of inpatient, outpatient and other facilities which may provide mental health services are identified for each county. Multilevel mixed effects ordinal logistic regression models were used to account for nesting effects utilizing two levels of data which include hospital- and county-level data.

RESULTS

Better county health rankings were associated with the presence of Outpatient services (OR = 0.69, 95% CI: 0.55-0.85) and Psychiatric hospital (OR = 0.55, 95% CI: 0.40-0.74).

CONCLUSION

These findings suggest a significant association between psychiatric care and community health. Access to psychiatric services is associated with improved population health.

摘要

目的

在美国，确定提供精神卫生服务与县健康排名之间是否存在关联。

方法

我们使用回顾性基于人群的 2016 年美国县级横断面分析，确定精神卫生服务提供对美国县健康排名的关联。本研究的主要因变量是县健康因素排名（CHR）。确定了每个县是否存在可能提供精神卫生服务的住院、门诊和其他设施。使用多水平混合效应有序逻辑回归模型，利用包括医院和县级数据的两个数据级别来解释嵌套效应。