Patient-reported outcome data generated in a clinical intervention in community mental health care--psychometric properties

社区心理健康护理临床干预中生成的患者报告结局数据——心理测量学特性

阅读:1

Abstract

BACKGROUND: DIALOG is an intervention to structure the communication between patient and key worker, which has been shown to improve patient outcomes in community mental health care. As part of the intervention, patients provide ratings of their subjective quality of life (SQOL) on eight Likert type items and their treatment satisfaction on three such items. This study explored the psychometric qualities of the outcome data generated in the DIALOG intervention to explore whether they may be used for evaluating treatment outcomes. METHOD: Data were taken from 271 patients who received the DIALOG intervention. All patients were diagnosed with schizophrenia or a related disorder and treated in community mental health care. For SQOL and treatment satisfaction as assessed in the DIALOG intervention, we established the internal consistency (Cronbach's alpha), the convergent validity of SQOL items (correlation with Manchester Short Assessment of Quality of Life [MANSA]) and treatment satisfaction items (correlation with Client Satisfaction Questionnaire [CSQ]), the concurrent validity (correlations with Positive and Negative Syndrome Scale [PANSS]) and the sensitivity to change (t-test comparing ratings of the first and last intervention). We also explored the factorial structure of the eight SQOL items. RESULTS: The internal consistency of the eight SQOL items was .71 and of the three treatment satisfaction items .57. SQOL scores were correlated with the MANSA (r = .95) and PANSS scores (general psychopathology: r = -.37, positive symptoms: r = -.27, negative symptoms: r = -.27). Treatment satisfaction scores were correlated with the CSQ (r = 0.36) and the PANSS (r = -.29, -.20, -.20). SQOL and treatment satisfaction score improved significantly over time. SQOL items loaded on two meaningful factors, one capturing health and personal safety and one reflecting other life domains. CONCLUSIONS: The psychometric qualities of the SQOL scores generated in DIALOG are strong. The properties of the three treatment satisfaction items may be seen as acceptable. Although DIALOG has been designed as a therapeutic intervention, it can generate outcome data on SQOL and treatment satisfaction with acceptable psychometric qualities.

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。