Elhai Jon D, Ford Julian D
Disaster Mental Health Institute, University of South Dakota, 414 E. Clark Street, South Dakota Union 114, Vermillion, SD 57069, USA.
Psychiatr Serv. 2007 Aug;58(8):1108-15. doi: 10.1176/ps.2007.58.8.1108.
This study explored sociodemographic and mental health correlates of intensity of mental health care use in two large-scale surveys, aiming to discover the set of correlates with the greatest predictive capacity.
Data were examined from persons aged 15 to 54 in two nationally representative U.S. household surveys: the National Comorbidity Survey (NCS) (N=5,877), which gathered information from 1990 to 1992, and the NCS Replication (N=4,320), which gathered information from 2001 to 2003. Outcome variables were the number of mental health care visits in the past year to mental health providers, social service providers, and medical providers. This study implemented state-of-the-art statistical methods designed for modeling such outcomes as treatment intensity-that is, visit counts.
Across provider types, significant univariate associations were found for intensity of mental health care use based on access variables (for example, employment and health insurance) and two need variables-psychiatric diagnoses and psychiatric disability. Demographic variables and treatment need variables were not consistent service use correlates. Multivariate regression accounting for excessive zero values demonstrated that after the analyses controlled for sociodemographic and access variables, mental disorders (mood, anxiety, and substance use disorders) and psychiatric disability added incrementally to variance in visit counts for mental health care. However, when mental health service use was dichotomized (any use versus no use) demographic and access variables, as well as psychiatric disorders, emerged as correlates. In both sets of analyses, different patterns of psychiatric disorder and disability were associated with provider service use.
These findings extend research on correlates of mental health care use, addressing intensity of use, suggesting that sociodemographic factors and presence of a psychiatric disorder and associated disability drive the initial use of services, whereas presence of a psychiatric disorder and associated disability are associated with continued service use.
本研究在两项大规模调查中探讨了心理健康护理使用强度的社会人口学和心理健康相关因素,旨在发现具有最大预测能力的相关因素集。
数据来自两项具有全国代表性的美国家庭调查中15至54岁的人群:全国共病调查(NCS)(N = 5877),该调查于1990年至1992年收集信息;以及全国共病调查复制版(N = 4320),该调查于2001年至2003年收集信息。结果变量是过去一年中去心理健康服务提供者、社会服务提供者和医疗服务提供者处进行心理健康护理就诊的次数。本研究采用了先进的统计方法来对诸如治疗强度(即就诊次数)等结果进行建模。
在不同类型的服务提供者中,基于获取变量(如就业和健康保险)以及两个需求变量——精神疾病诊断和精神残疾,发现了与心理健康护理使用强度存在显著的单变量关联。人口统计学变量和治疗需求变量并非一致的服务使用相关因素。考虑到过多零值的多变量回归表明,在分析控制了社会人口学和获取变量后,精神障碍(情绪、焦虑和物质使用障碍)和精神残疾对心理健康护理就诊次数的方差有增量贡献。然而,当将心理健康服务使用情况二分法(使用与未使用)时,人口统计学和获取变量以及精神障碍成为相关因素。在两组分析中,不同的精神障碍和残疾模式与服务提供者的服务使用相关。
这些发现扩展了关于心理健康护理使用相关因素的研究,涉及使用强度,表明社会人口学因素以及精神疾病和相关残疾的存在推动了服务最初的使用,而精神疾病和相关残疾的存在与持续使用服务相关。