Сравнение методов

	Шкала оценки приверженности лечению (MARS)	Treatment Satisfaction Questionnaire for Medication
Область	Фармакология	Фармакология
Семейство	Process / pipeline	Process / pipeline
Год появления	2000	2004
Автор метода	Kathryn Thompson, Jayashri Kulkarni, and Anthony A. Sergejew	Mary Jo Atkinson and colleagues
Тип	Self-report	Self-report
Основополагающий источник	Thompson, K., Kulkarni, J., & Sergejew, A. A. (2000). Reliability and validity of a new Medication Adherence Rating Scale (MARS) for the psychoses. Schizophrenia Research, 42(3), 241-247.	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.
Другие названия	MARS	TSQM
Связанные	4	4
Сводка	The Medication Adherence Rating Scale (MARS) is a 10-item self-report measure developed by Thompson, Kulkarni, and Sergejew in 2000 to assess medication adherence behaviors and attitudes in psychiatric populations, particularly antipsychotic medication use. Although originally validated in schizophrenia, it has been successfully applied across diverse medical conditions including hypertension, diabetes, and chronic disease management, providing a quick, sensitive assessment of actual adherence frequency and admission of problematic medication-taking behaviors.	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.