Walen H R, Cronan P A, Bigatti S M
Department of Psychology, San Diego State University, CA, USA.
Am J Manag Care. 2001 Sep 25;7 Spec No:SP39-47.
To examine how women with high and low healthcare costs differ by using the Anderson Health Behavior Model of Utilization as a theoretical framework.
One-year longitudinal design.
A total of 537 female health maintenance organization members with fibromyalgia participating in a study examining the effects of social support and education on health status and healthcare use were divided into 2 groups using a median split on health costs. Predisposing variables (demographic variables, self-efficacy, depression, and social support), enabling characteristics (income), and need variables (health status, perceived health status, disease severity, duration of symptoms, and comorbidity) were measured. Patients completed a battery of questionnaires at baseline assessment, and healthcare costs were assessed 1 year before and 1 year after baseline assessment. Healthcare data were collected from medical records. Healthcare costs were estimated by multiplying the number of each type of healthcare contact by the most recent national average cost figures.
Multivariate analysis of covariance controlling for costs during the year before baseline assessment was performed. Low-cost patients had fewer comorbid conditions, better health status, higher self-perceived health status, less disease severity, greater self-efficacy for functioning, lower depression scores, and higher social support scores. Chi2 analyses revealed no significant differences between groups on marital status but a significant difference in income: low-cost patients were more likely to report higher incomes.
There were several significant differences between people with higher and lower healthcare costs. Although effect sizes were small, many variables may be responsive to intervention.
以安德森医疗利用行为模型作为理论框架,研究医疗成本高和低的女性之间的差异。
为期一年的纵向设计。
共有537名患有纤维肌痛的女性健康维护组织成员参与了一项研究,该研究考察社会支持和教育对健康状况及医疗利用的影响,根据医疗成本的中位数划分将她们分为两组。测量了 predisposing变量(人口统计学变量、自我效能感、抑郁和社会支持)、促成因素(收入)和需求变量(健康状况、感知健康状况、疾病严重程度、症状持续时间和合并症)。患者在基线评估时完成了一系列问卷,并在基线评估前1年和后1年评估了医疗成本。医疗数据从病历中收集。通过将每种类型的医疗接触次数乘以最新的全国平均成本数据来估算医疗成本。
对基线评估前一年的成本进行协方差控制后进行多变量分析。低成本患者的合并症较少、健康状况较好、自我感知健康状况较高、疾病严重程度较低、功能自我效能感较高、抑郁评分较低且社会支持评分较高。卡方分析显示两组在婚姻状况上无显著差异,但在收入上有显著差异:低成本患者更有可能报告较高的收入。
医疗成本高和低的人群之间存在几个显著差异。尽管效应量较小,但许多变量可能对干预有反应。