Development and Measurement of the Treatment Perceptions Survey (TPS) for Clients with Substance Use Disorders.

Statistical reliability of the Treatment Perceptions Survey (TPS) questionnaire was examined using data from 19 California counties. The 14-item TPS was designed for clients receiving substance use disorder services at publicly funded community-based programs. The TPS is being used for evaluation of the State's 1115 Medicaid Waiver, external quality review of county-based systems of care, and quality improvement efforts. The survey addresses four domains of access to care, quality of care, care coordination, and general satisfaction that each include multiple items, plus a single item focused on self-reported outcome. Reliability test results of the four domains as composite measures were statistically significant. General satisfaction ratings were the best predictor of self-reported outcome in a path analysis model, followed by ratings of care coordination and quality of care. Separate analyses of TPS data from clients receiving specialty mental health services suggest the questionnaire can also be used reliably in mental health settings.

Furthering the reliable and valid measurement of mental health screening, diagnoses, treatment and outcomes through health information technology.

INTRODUCTION: Measurement of mental health is challenging; however, many solutions may be found through the use of health information technology. METHOD: This article reviews current approaches to measuring mental health, focusing on screening, diagnosis, treatment, and outcomes. It then identifies several key areas in which health information technology may advance the field and provide reliable and valid measurements that are readily available to and manageable for providers, as well as acceptable, feasible, and sustainable for selected populations. RESULT AND CONCLUSIONS: Although new technologies must overcome many challenges, including privacy, efficiency, cost, and scalability, it is an exciting and fast-growing field with many potential applications and clinical benefit.