विधियों की तुलना करें

	ड्यूक हेल्थ प्रोफाइल	EQ-5D	एसएफ-12 स्वास्थ्य सर्वेक्षण
क्षेत्र	स्वास्थ्य मापन	स्वास्थ्य मापन	स्वास्थ्य मापन
परिवार	Process / pipeline	Process / pipeline	Process / pipeline
उद्भव वर्ष	1989	1990	1996
प्रवर्तक	George R. Parkerson and colleagues at Duke University	EuroQol Group	John E. Ware Jr., Mark Kosinski, and Susan Keller
प्रकार	Multidimensional health status assessment	Generic preference-based health utility measure	Brief self-report health status instrument
मौलिक स्रोत	Parkerson, G. R., Connis, R. T., Gehlbach, S. H., et al. (1989). The Duke Health Profile: a 17-item measure of health-related quality of life. Medical Care, 28(11), 1056–1072.	Rabin, R., & de Charro, F. (2001). EQ-5D: a measure of health status from the EuroQol Group. Annals of Medicine, 33(5), 337–343.	Ware, J. E., Kosinski, M., & Keller, S. D. (1996). A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Medical Care, 34(3), 220–233.
उपनाम	DUKE, Duke Health Status Measure	EQ-5D-3L, EQ-5D-5L, EuroQol	SF-12v2, Medical Outcomes Study SF-12
संबंधित	5	5	4
सारांश	The Duke Health Profile (DUKE) is a 17-item self-report measure of health-related quality of life developed by Parkerson and colleagues at Duke University in 1989. It assesses health across six dimensions: physical function, mental health, social function, general health perceptions, anxiety, and depression. The instrument combines brevity with multidimensional assessment, making it practical for clinical and research settings.	The EQ-5D is a standardized, preference-based health utility measure developed by the EuroQol Group in 1990. It combines a descriptive health profile (five dimensions, three or five response levels) with a visual analog scale to quantify overall health status. The instrument has become essential for health economics, clinical trials, and cost-effectiveness analysis worldwide.	The SF-12 is a brief, 12-item version of the SF-36 health survey developed by Ware, Kosinski, and Keller in 1996. Designed to reduce respondent burden while maintaining psychometric validity, it has become the standard instrument for large-scale surveys, epidemiological studies, and health outcomes research where administration time is critical.