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精神分裂症患者住院治疗的社区层面相关因素。

Community-level correlates of hospitalizations for persons with schizophrenia.

作者信息

Fortney John C, Xu Stan, Dong Fran

机构信息

Department of Veterans Affairs South Central Mental Illness Research, Education and Clinical Center, North Little Rock, Arkansas, USA.

出版信息

Psychiatr Serv. 2009 Jun;60(6):772-8. doi: 10.1176/ps.2009.60.6.772.

Abstract

OBJECTIVES

Hospitalizations are likely to depend on both individual-level and community-level risk factors. This study identified community-level correlates of hospitalization for persons with schizophrenia and identified counties with high hospitalization rates.

METHODS

Data from 811 counties in 14 states were collected from the Agency for Healthcare Research and Quality, U.S. Census Bureau, U.S. Department of Agriculture, and the Health Resources and Services Administration. The dependent variable was specified as the county-level hospitalization rates for 2000, adjusted for age and sex, as determined from the Statewide Inpatient Database. To control for spatial autocorrelation, a Bayesian-Poisson conditional autoregressive model was used to measure the correlation between community-level factors and standardized hospitalization rates. Spatially smoothed standardized hospitalization rates were examined to identify counties with high rates.

RESULTS

There were 1.6 schizophrenia-related hospitalizations per 1,000 residents. Community-level correlates significantly predicting higher rates of hospitalization included percentage of residents in poverty (relative incidence rate [RIR]=1.03), percentage unemployed (RIR=1.04), hospital beds per 1,000 (RIR=1.04), social workers per 1,000 (RIR=1.09), and market penetration rate of health maintenance organizations (RIR=1.00) (p<.05). Community-level correlates significantly predicting lower rates of hospitalization included percentage of uninsured residents (RIR=.99), housing stress (RIR=.91), rural location (RIR for the most rural counties=.57), and a farm-dependent economy (RIR=.75) (p<.05). A quarter (25%) of the counties had higher than expected hospitalization rates, and spatial clustering was evident.

CONCLUSIONS

Results should be of interest to health plans seeking to control high-cost hospitalizations. Although improved availability of specialty mental health outpatient treatment could prevent hospitalizations for schizophrenia, the study indicated no correlation between access to specialists and hospitalization rates.

摘要

目的

住院治疗可能取决于个体层面和社区层面的风险因素。本研究确定了精神分裂症患者住院治疗的社区层面相关因素,并找出了住院率高的县。

方法

从医疗保健研究与质量局、美国人口普查局、美国农业部和卫生资源与服务管理局收集了14个州811个县的数据。因变量被指定为2000年经年龄和性别调整后的县级住院率,数据来自全州住院患者数据库。为了控制空间自相关性,使用贝叶斯-泊松条件自回归模型来衡量社区层面因素与标准化住院率之间的相关性。对空间平滑后的标准化住院率进行检查,以找出住院率高的县。

结果

每1000名居民中有1.6例与精神分裂症相关的住院治疗。显著预测更高住院率的社区层面相关因素包括贫困人口百分比(相对发病率[RIR]=1.03)、失业人口百分比(RIR=1.04)、每1000人拥有的医院病床数(RIR=1.04)、每1000人拥有的社会工作者人数(RIR=1.09)以及健康维护组织的市场渗透率(RIR=1.00)(p<0.05)。显著预测较低住院率的社区层面相关因素包括未参保居民百分比(RIR=0.99)、住房压力(RIR=0.91)、农村地区(最农村县的RIR=0.57)以及依赖农业的经济(RIR=0.75)(p<0.05)。四分之一(25%)的县住院率高于预期,且空间聚集明显。

结论

研究结果对于寻求控制高成本住院治疗的健康计划而言可能具有参考价值。尽管改善专科心理健康门诊治疗的可及性可能预防精神分裂症的住院治疗,但该研究表明专科医生可及性与住院率之间没有相关性。

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