方法对比

	治疗满意度问卷（TSQM）	用药依从性自我效能感量表 (SEAMS)
领域	药理学	药理学
方法族	Process / pipeline	Process / pipeline
起源年份	2004	2007
提出者	Mary Jo Atkinson and colleagues	Gbenga Ogedegbe, Antoinette Schoenthaler, and colleagues
类型	Self-report	Self-report
开创性文献	Atkinson, M. J., Sinha, A., Hass, S. L., Colman, S. S., Kumar, R. N., Berman, B. M., & Wolpert, B. (2004). Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel of chronically ill individuals. Health and Quality of Life Outcomes, 2(1), 12.	Ogedegbe, G., Schoenthaler, A., & Richardson, T. (2007). An Exploration of Contextual Factors and Antihypertensive Medication Adherence in Hypertensive African Americans. American Journal of Health-System Pharmacy, 64(23), 2510-2516. (SEAMS adapted from original research on self-efficacy in medication adherence.)
别名	TSQM	SEAMS
相关	4	4
摘要	The Treatment Satisfaction Questionnaire for Medication (TSQM) is a 14-item generic measure developed by Atkinson and colleagues in 2004 to assess patient satisfaction with medication across diverse therapeutic areas and disease conditions. It measures four key dimensions—Effectiveness, Side Effects, Convenience, and Global Satisfaction—with standardized 0–100 scoring, making it suitable for cross-disease comparison and health economic evaluation. The TSQM has become a standard outcome in pharmaceutical research, clinical trials, and real-world medication effectiveness studies.	The Self-Efficacy for Appropriate Medication Use Scale (SEAMS) is a brief self-report measure designed to assess patients' confidence in their ability to manage medications appropriately across diverse contexts and challenges. Grounded in Bandura's self-efficacy theory, the SEAMS evaluates patients' perceived capacity to adhere to medication regimens despite potential barriers—forgetfulness, side effects, cost constraints, complexity, or changes in routine. The scale has demonstrated strong predictive validity for medication adherence and clinical outcomes in hypertension, diabetes, asthma, and other chronic diseases, making it valuable for identifying patients with low medication management confidence who need additional support.