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| Short Form-36 | |
|---|---|
| Name | Short Form-36 |
| Other names | SF-36 |
| Developed | 1980s |
| Developer | Medical Outcomes Study |
| Purpose | Health-related quality of life |
| Languages | Multiple |
| Items | 36 |
Short Form-36 The Short Form-36 is a patient-reported outcome instrument designed to measure health-related quality of life across multiple domains. It originated from the Medical Outcomes Study and has been used in clinical trials, epidemiology, and health services research by organizations such as World Health Organization, Centers for Disease Control and Prevention, and National Institutes of Health. The measure interfaces with regulatory bodies like the Food and Drug Administration and evaluation frameworks from institutions such as Agency for Healthcare Research and Quality.
The instrument summarizes functioning and well-being using domains that capture physical and mental health, making it relevant to stakeholders including National Health Service, Canadian Institutes of Health Research, European Medicines Agency, and American Medical Association. It has been employed in comparative studies involving populations from United States, United Kingdom, Canada, Australia, and Japan and in specialty areas associated with institutions like Mayo Clinic, Cleveland Clinic, Johns Hopkins Hospital, and Massachusetts General Hospital. Large cohort studies and consortia such as the Framingham Heart Study, Nurses' Health Study, UK Biobank, and Whitehall Study have incorporated it for longitudinal assessment.
Developed during the 1980s by researchers affiliated with the RAND Corporation and the Boston University team of the Medical Outcomes Study, the SF-36 evolved through psychometric work involving methodologies from Classical Test Theory, Item Response Theory, and computer-adaptive assessment initiatives at places like Stanford University and Harvard University. Subsequent versions and derivatives include the SF-12 used in studies by European Prospective Investigation into Cancer and Nutrition, SF-8 referenced by World Health Organization, and disease-specific modules created by groups at National Cancer Institute, American Heart Association, and American Diabetes Association. Translations and norming studies have been led by research centers at University of Oxford, Karolinska Institutet, University of Melbourne, and Peking University.
The instrument contains 36 items grouped into eight domains: physical functioning, role limitations due to physical health, bodily pain, general health perceptions, vitality, social functioning, role limitations due to emotional problems, and mental health. Scoring algorithms produce domain scores and two summary measures—Physical Component Summary and Mental Component Summary—using norm-based transformations derived from populations such as those in National Health Interview Survey, Behavioral Risk Factor Surveillance System, and Health and Retirement Study. Statistical procedures for scoring have been discussed in methods texts from American Statistical Association, Royal Statistical Society, and textbooks by authors affiliated with Princeton University, Columbia University, and University of California, Berkeley.
Reliability and validity studies have been conducted with samples from clinical centers including Johns Hopkins University School of Medicine, Stanford Medical School, and UCLA. Test-retest reliability, internal consistency (Cronbach's alpha), convergent validity with instruments like the Beck Depression Inventory, Hamilton Rating Scale for Depression, and concurrent validity with objective measures from European Society of Cardiology studies have been reported. Factor analytic work referencing methods from American Psychological Association, International Test Commission, and scholars at University of Michigan address construct validity, while responsiveness has been evaluated in trials sponsored by National Institutes of Health and European Commission.
Clinically, the SF-36 is used in outcome assessment in specialties practiced at centers such as Royal College of Surgeons, American College of Surgeons, American Psychiatric Association, and American College of Rheumatology. Research applications include randomized controlled trials registered at ClinicalTrials.gov, health services research for agencies like Centers for Medicare & Medicaid Services, and health economics evaluated by the National Institute for Health and Care Excellence. It has been applied in studies on cardiovascular disease with results compared to biomarkers from American Heart Association cohorts, in oncology trials coordinated by National Cancer Institute, and in rehabilitation research at institutions such as Shepherd Center.
Translation and cultural adaptation protocols have followed guidelines from World Health Organization and cross-cultural research units at University of Toronto, University of Sydney, and Erasmus University Rotterdam. The SF-36 has validated versions in languages used in countries including China, India, Brazil, Russia, Germany, and France, with normative data produced by national surveys like Australian Institute of Health and Welfare and the Statistics Canada health modules. Cross-cultural measurement equivalence has been examined using methods from International Organization for Standardization and research groups at University College London.
Critiques have focused on ceiling and floor effects noted in specialty populations treated at facilities like Dana-Farber Cancer Institute, St. Jude Children's Research Hospital, and Mount Sinai Hospital. Other criticisms involve domain overlap, potential cultural bias flagged by scholars at Yale University and Princeton University, and limitations in sensitivity compared to disease-specific measures endorsed by organizations such as American Thoracic Society and European Respiratory Society. Policy analysts at The Commonwealth Fund and methodologists at Rockefeller University have debated appropriate use in cost-effectiveness analysis and population surveillance, while statisticians from Institute for Operations Research continue to refine scoring methods.
Category:Patient reported outcome measures