Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-24T00:32:24.142Z Has data issue: false hasContentIssue false

Invited Paper B The ten Ds of health outcomes measurement for the twenty-first century

Published online by Cambridge University Press:  18 December 2009

Colleen A. McHorney Ph.D.
Affiliation:
Professor of Medicine Indiana University School of Medicine and Roudebush Veterans Affairs Medical Center, Indianapolis, IN
Karon F. Cook Ph.D.
Affiliation:
Director for Research Baylor College of Medicine and Houston Veterans Affairs Medical Center, Houston, TX
Joseph Lipscomb
Affiliation:
National Cancer Institute, Bethesda, Maryland
Carolyn C. Gotay
Affiliation:
Cancer Research Center, Hawaii
Claire Snyder
Affiliation:
National Cancer Institute, Bethesda, Maryland
Get access

Summary

Introduction

The origins of health status assessment can be traced to the 1960s and the need at that time for a new armamentaria of health statistics to measure outcomes above and beyond mortality and morbidity. The state of health outcomes assessment in the 1960s has been characterized by the five Ds: death, disease, disability, discomfort, and dissatisfaction. In the USA, death registration was standardized in most states by 1930 and disease surveys had been underway since the late 1880s.– Measurement of disability began in the 1930s– but earnestly gained momentum in the late 1950s.– The National Health Interview Survey, which is a major source of information on disease and disability, was instituted in 1957 and continues today. Measurement of discomfort (subjective and objective sickness impacts) began in the 1940s, and continues to constitute a significant component of health-related quality of life (HRQOL) surveys. Measurement of patient satisfaction commenced in the 1950s for mental health care, and the 1960s for general medical care.

We have made great progress in measuring patient health outcomes since the five Ds were first propounded. There are over 85 tools that measure basic and instrumental activities of daily living. Myriad measures of depression exist. Close to two dozen generic HRQOL instruments have been developed. Hundreds of disease-specific instruments abound., In cancer, over 75 different HRQOL measures exist. The vast majority of these measures have been created under the umbrella of classical test theory (CTT).

Type
Chapter
Information
Outcomes Assessment in Cancer
Measures, Methods and Applications
, pp. 590 - 609
Publisher: Cambridge University Press
Print publication year: 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

White, K. L. (1967). Improved medical care statistics and the health services systemPublic Health Reports 82 (10):847–54CrossRefGoogle ScholarPubMed
Trask, J. (1935). Vital Statistics. In Preventive Medicine and Hygiene, ed. M. Rosenau, pp. 1175–220. New York, NY: D. Appleton-Century Company
Cumming, H. (1936). Chronic disease as a public health problemThe Milbank Memorial Fund Quarterly 14:125–31CrossRefGoogle Scholar
Hailman, D. (1941). Health status of adults in the productive agesPublic Health Reports 56:2071–87CrossRefGoogle Scholar
Collins, S. (1949). Sickness Surveys. In Administrative Medicine, ed. H. Emerson, pp. 511–35. New York: Thomas Nelson & Sons
Logan, W., Brooke, E. (1953). The Survey of Sickness 1943 to 1952Studies on Medical and Population Subjects 12:1–43Google Scholar
Sheldon, M. (1935). A physical achievement recordJournal of Health and Physical Education 30: 1Google Scholar
Deaver, G., Brown, M. (1945). Physical Demands of Daily Life: An Objective Scale for Rating the Orthopedically Exceptional. New York, NY: Institute for the Crippled and Disabled
Bennett, R., Stephens, H. (1949). Functional testing and trainingThe Physical Therapy Review 29 (3):99–107CrossRefGoogle ScholarPubMed
Moskowitz, E., McCann, C. B. (1957). Classification of disability in the chronically ill and agingJournal of Chronic Diseases 5(3):342–6CrossRefGoogle ScholarPubMed
Mahoney, F., Wood, O., Barthel, D. (1958). Rehabilitation of chronically ill patientsSouthern Medical Journal 51:605–9CrossRefGoogle ScholarPubMed
Staff of the Benjamin Rose Hospital (1959). Multidisciplinary studies of illness in aged persons: II. A new classification of functional status in activities of daily livingJournal of Chronic Diseases 19(1):55–62
US Department of Health, Education, and Welfare (1964). Health survey procedure: Concepts, questionnaire development, and definitions in the health interview surveyVital and Health Statistics: Programs and Collection Procedures 1(2):1–66
Hoffer, C. R., Schuler, E. A. (1948). Measurement of health needs and health careAmerican Sociological Review 13:719–24CrossRefGoogle Scholar
Brodman, K., Erdmann, A., Wolff, H. (1949). The Cornell Medical IndexJournal of the American Medical Association 140(6):530–4CrossRefGoogle ScholarPubMed
Souelem, O. (1955). Mental patients' attitudes toward mental hospitalsJournal of Clinical Psychology 11:181–53.0.CO;2-A>CrossRefGoogle ScholarPubMed
Klopfer, W. G., Wylie, A. A., Hillson, J. S. (1956). Attitudes toward mental hospitalsJournal of Clinical Psychology 12:361–53.0.CO;2-Y>CrossRefGoogle Scholar
Hecker, J., Lewis, C. E. (1965). Factors determining attitudes towards medical care — study of a metropolitan areaJournal of the Kansas Medical Society 66:123–8Google ScholarPubMed
McHorney, C. (2002). Use of item response theory to link three modules of functional status items from the Asset and Health Dynamics among the Oldest Old StudyArchives of Physical Medicine and Rehabilitation 83(3):383–94CrossRefGoogle Scholar
Task Force for the Handbook of Psychiatric Measures (2000). Handbook of Psychiatric Measures. Washington, DC: American Psychiatric Association
McHorney, C. (1997). Generic health measurement: past accomplishments and a measurement paradigm for the 21st centuryAnnals of Internal Medicine 127:743–50CrossRefGoogle Scholar
McHorney, C. (1999). Health status assessment methods for adults: past accomplishments and future challengesAnnual Review of Public Health 20:309–35CrossRefGoogle ScholarPubMed
Bowling, A. (2001). Measuring Disease: A Review of Disease-Specific Quality of Life Measurement Scales (2nd Edition). Buckingham: Open University Press
McHorney, C. A. (2001). Prospects and Problems Associated with Item Banking and Computerized Adaptive Testing in Cancer Clinical Trials. National Cancer Institute, Cancer Outcomes Working Group Symposium, February 2001, Bethesda, MD
Gulliksen, H. (1950). Theory of Mental Tests. New York: John Wiley & Sons
Lord, F. M., Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Reading, MA: Addison-Wesley Publishing Company
Hambleton, R., Swaminathan, H. (1985). Item Response Theory: Principles and Applications. Boston, MA: Kluwer Nijoff Publishing
McHorney, C., Cohen, A. (2000). Equating health status measures with item response theory: illustrations with functional status itemsMedical Care 38 (9, Suppl. II):II43–59CrossRefGoogle ScholarPubMed
Cleary, P. D. (1996). Future directions of quality of life research. In Quality of Life and Pharmacoeconomics in Clinical Trials (2nd Edition), ed. B. Spilker, pp. 73–8. Philadelphia, PA: Lippincott-Raven
Hambleton, R. (2000). Emergence of item response modeling in instrument development and data analysisMedical Care 38(9):II60–5CrossRefGoogle ScholarPubMed
Teresi, J. (2001). Statistical methods for examination of differential item functioning (DIF) with applications to cross-cultural measurement of functional, physical and mental healthJournal of Mental Health and Aging 7(1):31–40Google Scholar
Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Hillsdale, NJ: Lawrence Erlbaum Associates
Baker, F. (1992). Item Response Theory: Parameter Estimation. New York: Springer-Verlag
Gill, T. M., Feinstein, A. R. (1994). A critical appraisal of the quality of quality-of-life measurementsJournal of the American Medical Association 272(8):619–26CrossRefGoogle ScholarPubMed
Leplege, A., Hunt, S. (1997). The problem of quality of life in medicineJournal of the American Medical Association 278(1):47–50CrossRefGoogle Scholar
World Health Organization (1947). Chronicle of the World Health Organization 1(1–2):13
Ahmed, P., Kolker, A. (1973). The role of indigenous medicine in WHO's definition of health. In Toward A New Definition of Health: Psychosocial Dimensions, ed. P. Ahmed, G. Coelgo, pp. 113–28. New York: Plenum Press
Stewart, A. L., Ware, J. E. (1992). Measuring Functioning and Well-Being: The Medical Outcomes Study Approach. Durham, NC: Duke University Press
Meenan, R. F., Gertman, P. M., Mason, J. H. (1980). Measuring health status in arthritisArthritis and Rheumatism 23(2):146–52CrossRefGoogle ScholarPubMed
Roland, M., Morris, R. (1983). A study of the natural history of back pain part I: development of a reliable and sensitive measure of disability in low-back painSpine 8(2):141–4CrossRefGoogle ScholarPubMed
Wu, A. W., Rubin, H. R., Mathews, W. C.et al. (1991). A health status questionnaire using 30 items from the Medical Outcomes Study: preliminary validation in persons with early HIV infectionMedical Care 29 (8):786–98CrossRefGoogle ScholarPubMed
Ingersoll, G., Marrero, D. (1991). A modified quality-of-life measure for youths: psychometric propertiesThe Diabetes Educator 17(2):114–18CrossRefGoogle ScholarPubMed
Marks, G. B., Dunn, S. M., Woolcock, A. J. (1992). A scale for the measurement of quality of life in adults with asthmaJournal of Clinical Epidemiology 45(5):461–72CrossRefGoogle ScholarPubMed
Hyland, M., Bott, J., Singh, S.et al. (1994). Domains, constructs and the development of the breathing problems questionnaireQuality of Life Research 3:245–56CrossRefGoogle ScholarPubMed
McHorney, C., Bricker, D., Kramer, A.et al. (2000). The SWAL-QOL outcomes tool for oropharyngeal dysphagia in adults: I. Conceptual foundation and item developmentDysphagia 15:115–21CrossRefGoogle ScholarPubMed
McHorney, C. Methodological and psychometric issues in health status assessment across populations and applications. In Advances in Medical Sociology, Vol. 5, ed. G. L. Albrecht, R. Fitzpatrick, pp. 281–304. Stamford, CT: JAI Press
McHorney, C. A., Ware, J. E., Lu, J. F. R.et al. (1994). The MOS 36-item short-form health survey (SF-36): III. Tests of data quality, scaling assumptions and reliability across diverse patient groupsMedical Care 32(1):40–66CrossRefGoogle ScholarPubMed
Jobe, J. B., Mingay, D. J. (1990). Cognitive laboratory approach to designing questionnaires for surveys of the elderlyPublic Health Reports 105(5):518–24Google ScholarPubMed
Lessler, J. (1995). Choosing questions that people can understand and answerMedical Care 33 (4 Suppl.):AS203–8Google ScholarPubMed
Weitzner, M., Meyers, C., Steinbruecker, S.et al. (1997). Developing a care giver quality-of-life instrumentCancer Practice 5(1):25–31Google ScholarPubMed
Moore, K. N., Estey, A. (1999). The early post-operative concerns of men after radical prostatectomyJournal of Advanced Nursing 29(5):1121–9CrossRefGoogle ScholarPubMed
Hobart, J., Lamping, D., Fitzpatrick, R.et al. (2001). The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measureBrain 124:962–73CrossRefGoogle ScholarPubMed
Kadam, U. T., Croft, P., McLeod, M.et al. (2001). A qualitative study on patients' views on anxiety and depressionBritish Journal of General Practice 51(466):375–80Google ScholarPubMed
Ware, N., Tugenberg, T., Dickey, B.et al. (1999). An ethnographic study of the meaning of continuity of care in mental health servicesPsychiatric Services 50(3):395–400CrossRefGoogle ScholarPubMed
Angel, R., Frisco, M. (2001). Self-assessments of health and functional capacity among older adultsJournal of Mental Health and Aging 7(1):119–35Google Scholar
Geest, S., Abraham, I., Gemoets, H.et al. (1994). Development of the long-term medication behaviour self-efficacy scale: qualitative study for item developmentJournal of Advanced Nursing 19:233–8CrossRefGoogle ScholarPubMed
Porter, E. (1995). A phenomenological alternative to the “ADL Research Tradition”Journal of Aging and Health 7(1):24–45CrossRefGoogle ScholarPubMed
Krasner, D. (1998). Painful venous ulcers: themes and stories about their impact on quality of lifeOstomy/Wound Management 44(9):38–49Google ScholarPubMed
Koch, T., Webb, C., Williams, A. (1995). Listening to the voices of older patients: an existential-phenomenological approach to quality assuranceJournal of Clinical Nursing 4:185–93CrossRefGoogle ScholarPubMed
Spies, J., Coyne, K., Guaou, N.et al. (2002). The UFS-QOL, a new disease-specific symptom and health-related quality of life questionnaire for leiomyomataObstetrics and Gynecology 99(2):290–300Google ScholarPubMed
Lerner, D., Amick, B., Rogers, W.et al. (2001). The Work Limitations QuestionnaireMedical Care 39(1):72–85CrossRefGoogle ScholarPubMed
Wu, A., Fink, N., Cagney, K.et al. (2001). Developing a health-related quality-of-life measure for end-stage renal disease: The CHOICE Health Experiences QuestionnaireAmerican Journal of Kidney Diseases 37(1):11–21Google Scholar
Juniper, E. F., Guyatt, G. H., Epstein, R. S.et al. (1992). Evaluation of impairment of health related quality of life in asthma: development of a questionnaire for use in clinical trialsThorax 47:76–83CrossRefGoogle ScholarPubMed
Wilde, B., Larsson, G., Larsson, M.et al. (1994). Quality of care: development of a patient-centred questionnaire based on a grounded theory modelScandinavian Journal of the Caring Sciences 8:39–48CrossRefGoogle ScholarPubMed
Launois, R., Reboul-Marty, J., Henry, E. (1996). Construction and validation of a quality of life questionnaire in chronic lower limb venous insufficiency (CIVIQ)Quality of Life Research 5:539–54CrossRefGoogle Scholar
Rubin, H., Jenckes, M., Fink, N.et al. (1997). Patient's view of dialysis care: development of a taxonomy and rating of importance of different aspects of careAmerican Journal of Kidney Diseases 30(6):793–801CrossRefGoogle ScholarPubMed
Cronin, L., Guyatt, G., Griffith, L.et al. (1998). Development of a health-related quality-of-life questionnaire (PCOSQ) for women with polycystic ovary syndrome (PCOS)Journal of Clinical Endocrinology and Metabolism 83(6):1976–87Google Scholar
Jabine, T., Straf, M., Tanue, J. et al. (1984). Cognitive Aspects of Survey Methodology. Washington, DC: National Academy Press
Fienberg, S., Loftus, E., Tanur, J. (1985). Cognitive aspects of health survey methodology: an overviewMilbank Memorial Fund Quarterly 63(3):547–64CrossRefGoogle ScholarPubMed
Lessler, J. T., Sirken, M. G. (1985). Laboratory-based research on the cognitive aspects of survey methodology: the goals and methods of the National Center for Health Statistics studyMilbank Memorial Fund Quarterly. Health and Society 63(3):565–81CrossRefGoogle ScholarPubMed
Loftus, E., Fienberg, S., Tanur, J. (1985). Cognitive psychology meets the national surveyAmerican Psychologist 40(2):175–80CrossRefGoogle Scholar
Jobe, J. B., Mingay, D. J. (1989). Cognitive research improves questionnairesAmerican Journal of Public Health 79(8):1053–5CrossRefGoogle ScholarPubMed
Bergner, M., Bobbitt, R. A., Pollard, W. E.et al. (1976). The Sickness Impact Profile: validation of a health status measureMedical Care 14(1):57–67CrossRefGoogle ScholarPubMed
Ware, J., Kosinski, M., Bayliss, M.et al. (1995). Comparison of methods for the scoring and statistical analysis of SF-36 health profile and summary measures: Summary of results from the MOSMedical Care 33 (4 Suppl.):AS264–79Google Scholar
Bozzette, S., Hays, R., Berry, S.et al. (1994). A perceived health index for use in persons with advanced HIV disease: derivation, reliability, and validityMedical Care 32(7):716–31CrossRefGoogle ScholarPubMed
Bozzette, S. A., Hays, R. D., Berry, S. H.et al. (1995). Derivation and properties of a brief health status assessment instrument for use in HIV diseaseJournal of Acquired Immune Deficiency Syndromes and Human Retrovirology 8(3):253–65CrossRefGoogle ScholarPubMed
Devinsky, O., Vickrey, B., Cramer, J.et al. (1995). Development of the quality of life in epilepsy inventoryEpilepsia 36(11):1089–104CrossRefGoogle ScholarPubMed
Vickery, B., Hays, R., Garooni, R.et al. (1995). A health-related quality of life measure for multiple sclerosisQuality of Life Research 4:187–206CrossRefGoogle Scholar
Revicki, D., Sorensen, S., Wu, A. (1998). Reliability and validity of physical and mental health summary scores from the Medical Outcomes Study HIV health surveyMedical Care 36(2):126–37CrossRefGoogle ScholarPubMed
Varni, J., Seid, M., Kurtin, P. (2001). Peds QL 4.0: Reliability and validity of the pediatric quality of life inventory version 4.0 generic core scales in healthy and patient populationsMedical Care 39(8):800–12CrossRefGoogle Scholar
Simon, G., Revicki, D., Grothaus, L.et al. (1998). SF-36 summary scores. Are physical and mental health truly distinct?Medical Care 36(4):567–72CrossRefGoogle ScholarPubMed
Rubenach, S., Shadbolt, B., McCallum, J.et al. (2002). Assessing health-related quality of life following myocardial infarction: is the SF-12 useful?Journal of Clinical Epidemiology 55:306–9CrossRefGoogle ScholarPubMed
Fairclough, D. (1997). Summary measures and statistics for comparisons of quality of life in a clinical trial of cancer therapyStatistics in Medicine 16:1197–2093.0.CO;2-9>CrossRefGoogle Scholar
Beusterien, K., Nissenson, A., Port, F. K.et al. (1996). The effects of recombinant human erythropoietin on functional health and well-being in chronic dialysis patientsJournal of the American Society of Nephrology 7(5):763–73Google ScholarPubMed
Jenkinson, C., Gray, A., Doll, H.et al. (1997). Evaluation of index and profile measures of health status in a randomized controlled trialMedical Care 35(11):1109–18CrossRefGoogle Scholar
Ruhland, J., Shields, R. (1997). The effects of a home exercise program on impairment and health-related quality of life in persons with chronic peripheral neuropathiesPhysical Therapy 77(10):1026–39CrossRefGoogle ScholarPubMed
Gartsman, G., Brinker, M., Khan, M.et al. (1998). Self assessment of general health status in patients with five common shoulder conditionsJournal of Shoulder and Elbow Surgery 7(3):228–37CrossRefGoogle ScholarPubMed
Gartsman, G., Khan, M., Hammerman, S. (1998). Arthroscopic repair of full-thickness tears of the rotator cuffJournal of Bone and Joint Surgery 80-A (6):832–40CrossRefGoogle Scholar
Wiklund, I., Junghard, O., Grace, E.et al. (1998). Quality of life in reflux and dyspepsia patients. Psychometric documentation of a new specific questionarie (QOLRAD)European Journal of Surgery 583(Suppl.):41–9Google Scholar
Reuben, D. B., Frank, J. C., Hirsch, S. H.et al. (1999). A randomized clinical trial of outpatient comprehensive geriatric assessment coupled with an intervention to increase adherence to recommendationsJournal of the American Geriatrics Society 47:269–76CrossRefGoogle ScholarPubMed
Revicki, D., Crawley, J., Zodet, M.et al. (1999). Complete resolution of heartburn symptoms and health-related quality of life in patients with gastro-oesophageal reflux diseaseAlimentary Pharmacology and Therapeutics 13:1621–30CrossRefGoogle ScholarPubMed
Stavem, K., Erikssen, J., Boe, J. (1999). Performance of a short lung-specific health status measure in outpatients with chronic obstructive pulmonary diseaseRespiratory Medicine 93:467–75CrossRefGoogle Scholar
Taylor, S., Taylor, A., Foy, M.et al. (1999). Responsiveness of common outcome measures for patients with low back painSpine 24:1805–12CrossRefGoogle ScholarPubMed
Adler, D., Bungay, K., Cynn, D.et al. (2000). Patient-based health status assessments in an outpatient psychiatry settingPsychiatric Services 51(3):341–8CrossRefGoogle Scholar
Hughes, S., Weaver, F., Giobbie-Hurder, A.et al. (2000). Effectiveness of team-managed home-based primary care: a randomized multicenter trialJournal of the American Medical Association 284(22):2877–85CrossRefGoogle ScholarPubMed
Mayo, N., Wood-Dauphinee, S., Cote, R.et al. (2000). There's no place like home: an evaluation of early supported discharge for strokeStroke 31:1016–23CrossRefGoogle ScholarPubMed
Nortvedt, M. W., Riise, T., Myhr, K.-M.et al. (2000). Performance of the SF-36, SF-12 and RAND-36 summary scales in a multiple sclerosis populationMedical Care 38(10): 1022–8CrossRefGoogle Scholar
Hobart, J., Freeman, J., Lamping, D.et al. (2001). The SF-36 in multiple sclerosis: why basic assumptions must be testedJournal of Neurology, Neurosurgery, and Psychiatry 71(3):363–70CrossRefGoogle ScholarPubMed
Roznowski, M., Tucker, L., Humphreys, L. (1991). Three approaches to determining the dimensionality of binary itemsApplied Psychological Measurement 15(2):109–27CrossRefGoogle Scholar
US Department of Health and Human Services. Healthy People 2010 [Web Page]. Available at http://www.healthypeople.gov/document/. Accessed September 18, 2004
National Institutes of Health. Addressing Health Disparities: The NIH Program of Action. Available at http://healthdisparities.nih.gov/whatare.html. Accessed September 18, 2004
McKinlay, J. B., McKinlay, S. M., Beaglehole, R. (1989). A review of the evidence concerning the impact of medical measures on recent mortality and morbidity in the United StatesInternational Journal of Health Services 19(2):181–208CrossRefGoogle ScholarPubMed
Evans, R., Stoddart, G. (1992). Producing health, consuming health careSocial Science and Medicine 35:1347–63Google Scholar
U.S. Department of Health and Human Services. (1979). Risks to good health. Healthy People — the Surgeon General's Report on Health Promotion and Disease Prevention. Hyattsville, MD: U.S. Department of Health and Human Services, Public Health Service, Office of the Assistant Secretary for Health and Surgeon General, (PHS) 79–55071
McHorney, C. (1999). Concepts and Measurement of Health Status and Health-Related Quality of Life. In The Handbook of Social Studies in Health & Medicine, ed. G. L. Albrecht, R. Fitzpatrick, S. Scrimshaw, pp. 339–58. London: Sage
Blaxter, M. (1987). Evidence on inequality in health from a national surveyLancet 2(8549):30–3CrossRefGoogle ScholarPubMed
House, J. S., Kessler, R. C., Regula, A. (1990). Age, socioeconomic status, and healthMilbank Memorial Fund Quarterly 68(3):383–412Google Scholar
Arber, S., Ginn, J. (1993). Gender and inequalities in health in later lifeSocial Science and Medicine 36(1):33–46CrossRefGoogle ScholarPubMed
Guralnik, J. M., Land, K. C., Blazer, D.et al. (1993). Educational status and active life expectancy among older blacks and whitesNew England Journal of Medicine 329(2):110–16CrossRefGoogle ScholarPubMed
Sorlie, P., Backlund, E., Keller, J. (1995). US mortality by economic, demographic, and social characteristics: the national longitudinal mortality studyAmerican Journal of Public Health 85(7):949–56CrossRefGoogle ScholarPubMed
Schoenbaum, M., Waidmann, T. (1997). Race, socio-economic status, and health: accounting for race differences in healthJournal of Gerontology 52B(Special Issue):61–73CrossRefGoogle Scholar
Kind, P., Dolan, P., Gudex, C.et al. (1998). Variations in population health status: results from a United Kingdom national questionnaire surveyBritish Medical Journal 316:736–41CrossRefGoogle ScholarPubMed
Adams, P., Hendershot, G. E., Marano, M. (1999). Current Estimates from the National Health Interview Survey, 1996. Data from the National Health Survey; Vol. 10. Hyattsville, MD: U.S. Department of Health and Human Services; (PHS) 99–1528
Stewart, A., Napoles-Springer, A. (2000). Health-related quality-of-life assessments in diverse population groups in the United StatesMedical Care 38(9, Suppl.):II-102–24CrossRefGoogle ScholarPubMed
Day, J. (1996). Population Projections of the United States by Age, Sex, Race, and Hispanic Origin: 1995 to 2050. Washington, DC: US Government Printing Office
Liang, J. (2001). Assessing cross-cultural comparability in mental health among older adultsJournal of Mental Health and Aging 7(1):21–30Google Scholar
Herdman, M., Fox-Rushby, J., Badia, X. (1997). ‘Equivalence’ and the translation and adaptation of health-related quality of life questionnairesQuality of Life Research 6:237–47CrossRefGoogle ScholarPubMed
Byrne, B., Campbell, T. (1999). Cross-cultural comparisons and the presumption of equivalent measurement and theoretical structure. A look beneath the surfaceJournal of Cross-Cultural Psychology 30(5):555–74CrossRefGoogle Scholar
Kleinman, A. (1977). Depression, somatization and the new cross-cultural psychiatrySocial Science and Medicine 11:3–10CrossRefGoogle ScholarPubMed
Flaherty, J., Gaviria, F., Pathak, D.et al. (1988). Developing instruments for cross-cultural psychiatric researchJournal of Nervous and Mental Disease 176 (5):257–63CrossRefGoogle ScholarPubMed
Pelto, P., Pelto, G. (1997). Studying knowledge, culture, and behavior in applied medical anthropologyMedical Anthropology Quarterly 11(2):147–63CrossRefGoogle ScholarPubMed
Lutner, R., Foizen, M., Stocking, C. (1991). The automated interview versus the personal interviewAnesthesiology 75:394–400CrossRefGoogle ScholarPubMed
Rozensky, R., Honor, L., Rasinski, K.et al. (1986). Paper-and-pencil versus computer-administered MMPIs: a comparison of patients' attitudesComputers in Human Behavior 2:111–16CrossRefGoogle Scholar
Greist, J., Klein, M., Erdman, H.et al. (1987). Comparison of computer- and interviewer-administered versions of the Diagnostic Interview ScheduleHospital and Community Psychiatry 38(12):1304–11Google ScholarPubMed
Kobak, K., Reynolds, W., Rosenfeld, R.et al. (1990). Development and validation of a computer-administered version of the Hamilton Depression Rating ScalePsychological Assessment 2(1):56–63CrossRefGoogle Scholar
Baer, L., Brown-Beasley, M., Sorce, J.et al. (1993). Computer-assisted telephone administration of a structured interview for obsessive-compulsive disordersAmerican Journal of Psychiatry 150:1737–8Google Scholar
Kobak, K., Reynolds, W., Greist, J. (1993). Development and validation of a computer-administered version of the Hamilton Anxiety ScalePsychological Assessment 5(4):487–92CrossRefGoogle Scholar
Baer, L., Jacobs, D. G., Cukor, P.et al. (1995). Automated telephone screening survey for depressionJournal of the American Medical Association 273(24):1943–4CrossRefGoogle Scholar
Roizen, M. F., Coalson, D., Hayward, R. S. A.et al. (1992). Can patients use an automated questionnaire to define their current health status?Medical Care 30(5 Suppl.):MS74–84CrossRefGoogle ScholarPubMed
Newell, S., Girgis, A., Sanson-Fisher, R.et al. (1997). Are touch-screen computer surveys acceptable to medical oncology patients?Journal of Psychosocial Oncology 15 (2):37–46CrossRefGoogle Scholar
Taenzer, P., Speca, M., Atkinson, M.et al. (1997). Computerized quality-of-life screening in an oncology clinicCancer Practice 5(3):168–75Google Scholar
Buxton, J., White, M., Osoba, D. (1998). Patients' experiences using a computerized program with a touch-sensitive video monitor for the assessment of health-related quality of lifeQuality of Life Research 7:513–17CrossRefGoogle ScholarPubMed
McBride, J., Anderson, R., Bahnson, J. (1999). Using a hand-held computer to collect data in an orthopedic outpatient clinicMedical Care 37(7):647–51CrossRefGoogle Scholar
Velikova, G., Wright, E. P., Smith, A. B.et al. (1999). Automated collection of quality-of-life data: a comparison of paper and computer touch-screen questionnairesJournal of Clinical Oncology 17(3):998–1007CrossRefGoogle ScholarPubMed
Lofland, J., Schaffer, M., Goldfarb, N. (2000). Evaluating health-related quality of life: cost comparison of computerized touch-screen technology and traditional paper systemsPharmacotherapy 20(11):1390–5CrossRefGoogle ScholarPubMed
Taenzer, P., Bultz, B., Carlson, L.et al. (2000). Impact of computerized quality of life screening on physician behavior and patient satisfaction in lung cancer outpatientsPsycho-Oncology 9:203–133.0.CO;2-Y>CrossRefGoogle ScholarPubMed
Carlson, L., Speca, M., Hagen, N.et al. (2001). Computerized quality of life screening in a cancer pain clinicJournal of Palliative Care 17 (1):46–52Google Scholar
Ernst, M., Doucette, W., Dedhiya, S.et al. (2001). Use of point-of-service health status assessments by community pharmacists to identify and resolve drug-related problems in patients with musculoskeletal disordersPharmacotherapy 21(8):988–97CrossRefGoogle ScholarPubMed
Brodie, M., Fournoy, R., Altman, D.et al. (2000). Health information, the internet, and the digital divideHealth Affairs 19(6):255–65CrossRefGoogle ScholarPubMed
Burstin, H. (2000). Traversing the digital dividedHealth Affairs 19(6):245–9CrossRefGoogle Scholar
Ree, M. (1993). Foreword: Differential Item Functioning (DIF): A perspective from the Air Force Human Resources Laboratory. In Differential Item Functioning, ed. P. Holland, H. Wainer, pp. ⅺ–ⅻ. Hillsdale, NJ: Lawrence Erlbaum AssociatesCrossRef
Hambleton, R. (2001). The next generation of the ITC test translation and adaptation guidelinesEuropean Journal of Psychological Assessment 17(3):164–72CrossRefGoogle Scholar
Teresi, J., Cross, P., Golden, R. (1989). Some applications of latent trait analysis to the measurement of ADLJournal of Gerontology 44(5):S196–204CrossRefGoogle ScholarPubMed
Groenvold, M., Bjorner, J. B., Klee, M. C.et al. (1995). Test for item bias in a quality of life questionnaireJournal of Clinical Epidemiology 48(6):805–16CrossRefGoogle Scholar
Avlund, K., Era, P., Davidsen, M.et al. (1996). Item bias in self-reported functional ability among 75-year-old men and women in three Nordic localitiesScandinavian Journal of Social Medicine 24(3):206–17CrossRefGoogle ScholarPubMed
Kempen, G., Miedema, I., Ormel, J.et al. (1996). The assessment of disability with the Groningen Activity Restriction ScaleConceptual framework and psychometric propertiesSocial Science and Medicine 43(11):1601–10CrossRefGoogle ScholarPubMed
Spector, W., Fleishman, J. (1998). Combining activities of daily living with instrumental activities of daily living to measure functional disabilityJournal of Gerontology 53(1):S46–57CrossRefGoogle ScholarPubMed
Custers, J., Hiujtink, H., Net, J.et al. (2000). Cultural differences in functional status measurement: analyses of person fit according to the Rasch modelQuality of Life Research 9:571–8CrossRefGoogle ScholarPubMed
Wolfe, F., Hawley, D., Goldenberg, D.et al. (2000). The assessment of functional impairment in fibromyalgia (FM): Rasch analyses of 5 functional scales and the development of the FM Health Assessment QuestionnaireJournal of Rheumatology 27(8):1989–99Google ScholarPubMed
Jagger, C., Arthur, A., Spiers, N.et al. (2001). Patterns of onset of disability in activities of daily livingJournal of the American Geriatric Society 49(4):404–9CrossRefGoogle ScholarPubMed
Teresi, J. A., Golden, R. R., Cross, P.et al. (1995). Item bias in cognitive screening measures: Comparisons of elderly White, Afro-American, Hispanic and high and low education subgroupsJournal of Clinical Epidemiology 48(4):473–83CrossRefGoogle ScholarPubMed
Teresi, J., Kleinman, M., Ocepek, K. (2000). Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measuresStatistics in Medicine 19:1651–833.0.CO;2-H>CrossRefGoogle ScholarPubMed
Teresi, J., Kleinman, M., Ocepek-Welikson, K.et al. (2000). Applications of item response theory to the examination of the psychometric properties and differential item functioning of the comprehensive assessment and referral evaluation dementia diagnostic scale among samples of Latino, African American, and white non-latino elderlyResearch on Aging 22(6):738–73CrossRefGoogle Scholar
Teresi, J., Holmes, D., Ramirez, M.et al. (2001). Performance of cognitive tests among different racial/ethnic and education groups: findings of differential item functioning and possible item biasJournal of Mental Health and Aging 7(1):79–89Google Scholar
Bjorner, J. B., Kreiner, S., Ware, J. E. (1998). Differential item functioning in the Danish translation of the SF-36Journal of Clinical Epidemiology 51(11):1189–202CrossRefGoogle ScholarPubMed
Collins, W., Raju, N., Edwards, J. (2000). Assessing differential functioning in a satisfaction scaleJournal of Applied Psychology 85(3):451–61CrossRefGoogle Scholar
Morales, L., Reise, S., Hays, R. (2000). Evaluating the equivalence of health care ratings by whites and HispanicsMedical Care 38(5):517–27CrossRefGoogle ScholarPubMed
Schaeffer, N. (1988). An application of item response theory to the measurement of depression. In Sociological Methodology, ed. C. Clogg, pp. 271–307. San Francisco, CA: Jossey-BassCrossRef
Ellis, B. B., Minsel, B., Becker, P. (1989). Evaluation of attitude survey translations: an investigation using item response theoryInternational Journal of Psychology 24:665–84CrossRefGoogle ScholarPubMed
Ellis, B. E., Kimmell, H. (1992). Identification of unique cultural response patterns by means of item response theoryJournal of Applied Psychology 77(2):177–84CrossRefGoogle Scholar
Stommel, M., Given, B., Given, C.et al. (1993). Gender bias in the measurement properties of the Center for Epidemiologic Studies Depression Scale (CES-D)Psychiatry Research 49:239–50CrossRefGoogle Scholar
Dancer, L., Anderson, A., Derlin, R. (1994). Use of log-linear models for assessing differential item functioning in a measure of psychological functioningJournal of Consulting and Clinical Psychology 62(4):710–17CrossRefGoogle Scholar
Flannery, W., Reise, S., Widaman, K. (1995). An item response theory analysis of the general and academic scales of the Self-Description Questionnaire IIJournal of Research in Personality 29:168–88CrossRefGoogle Scholar
Hammond, S. (1995). An IRT investigation of the validity of non-patient analogue research using the Beck Depression InventoryEuropean Journal of Psychologic Assessment 11(1):14–20CrossRefGoogle Scholar
Huang, C., Church, A., Katigbak, M. (1997). Identifying cultural differences in items and traitsJournal of Cross-Cultural Psychology 28(2):192–218CrossRefGoogle Scholar
Panter, A., Swygert, K., Dahlstrom, W.et al. (1997). Factor analytic approaches to personality item-level dataJournal of Personality Assessment 68(3):561–89CrossRefGoogle ScholarPubMed
Suh, T., Gallo, J. (1997). Symptom profiles of depression among general medical service users compared with specialty mental health service usersPsychological Medicine 27:1051–63CrossRefGoogle ScholarPubMed
Coelho, V., Strauss, M., Jenkins, J. (1998). Expression of symptomatic distress by Puerto Rican and Euro-American patients with depression and schizophreniaJournal of Nervous and Mental Disease 186(8):477–83CrossRefGoogle Scholar
DeRoos, Y., Allen-Meares, P. (1998). Application of Rasch analysis: exploring differences in depression between African-American and white childrenJournal of Social Science Research 23(3/4):93–107Google Scholar
Gallo, J., Cooper-Patrick, L., Lesikar, S. (1998). Depressive symptoms of whites and African Americans aged 60 years and olderJournal of Gerontology 53B(5):P277–86CrossRefGoogle Scholar
Santor, D., Ramsay, J. (1998). Progress in the technology of measurement: applications of item response modelsPsychological Assessment 10(1):345–59CrossRefGoogle Scholar
Smith, L., Reise, S. (1998). Gender differences on negative affectivity: an IRT study of differential item functioning on the multidimensional personality questionnaire stress reaction scaleJournal of Personality and Social Psychology 75(5):1350–62CrossRefGoogle ScholarPubMed
Christensen, H., Jorm, A., MacKinnon, A.et al. (1999). Age differences in depression and anxiety symptoms: A structural equation modeling analysis of data from a general population samplePsychological Medicine 29(2): 325–39CrossRefGoogle Scholar
Cooke, D., Michie, C. (1999). Psychopathy across cultures: North America and Scotland comparedJournal of Abnormal Psychology 108(1):58–68CrossRefGoogle ScholarPubMed
Grayson, D., Mackinnon, A., Jorm, A. (2000). Item bias in the Center for Epidemiologic Studies Depression scale: effects of physical disorders and disability in an elderly community sampleJournal of Gerontology 55B(5):P273–82CrossRefGoogle Scholar
Waller, N., Thompson, J., Wenk, E. (2000). Using IRT to separate measurement bias from true group differences on homogeneous and heterogeneous scales: An illustration with the MMPIPsychological Methods 5(1):125–46CrossRefGoogle ScholarPubMed
Azocar, F., Arean, P., Miranda, J.et al. (2001). Differential item functioning in a Spanish translation of the Beck Depression InventoryJournal of Clinical Psychology 57:355–65CrossRefGoogle Scholar
Santor, D., Coyne, J. (2001). Evaluating the continuity of symptomology between depressed and nondepressed individualsJournal of Abnormal Psychology 110(2):216–25CrossRefGoogle Scholar
Drasgow, F., Hulin, C. (1987). Cross-cultural measurementInteramerican Journal of Psychology 21(1–2):1–24Google Scholar
Walstad, W. B., Robson, D. (1997). Differential item functioning and male-female differences on multiple-choice tests in economicsJournal of Economic Education 28(2): 155–71CrossRefGoogle Scholar
Guarnaccia, P. (1996). Anthropological perspectives: the importance of culture in the assessment of quality of life. In Quality of Life and Pharmacoeconomics in Clinical Trials, (2nd Edition), ed. B. Spilker, pp. 523–7. Philadelphia, PA: Lippincott-Raven
Rogler, L. (1989). The meaning of culturally sensitive research in mental healthAmerican Journal of Psychiatry 146(3):296–303Google ScholarPubMed
McHorney, C. A., Ware, J. E., Rogers, W.et al. (1992). The validity and relative precision of MOS short- and long-form health status scales and Dartmouth COOP Charts: Results from the Medical Outcomes StudyMedical Care 30(Suppl.):MS253–65CrossRefGoogle Scholar
McHorney, C., Tarlov, A. (1995). The use of health status measures for individual patient level applications: problems and prospectsQuality of Life Research 3(1):43–4Google Scholar
McHorney, C. (1996). Measuring and monitoring general health status in elderly persons: practical and methodological issues in using the SF-36 health surveyThe Gerontologist 38(5):571–83CrossRefGoogle Scholar
Haley, S. M., McHorney, C. A., Ware, J. E. (1994). Evaluation of the MOS SF-36 physical functioning scale (PF-10): I. Unidimensionality and reproducibility of the Rasch item scaleJournal of Clinical Epidemiology 47(6):671–84CrossRefGoogle ScholarPubMed
Prieto, L., Alonso, J., Lamarca, R.et al. (1998). Rasch measurement for reducing the items of the Nottingham Health ProfileJournal of Outcome Measurement 2(4):285–301Google ScholarPubMed
Finch, M., Kane, R., Philp, I. (1995). Developing a new metric for ADLsJournal of the American Geriatrics Society 43:877–84CrossRefGoogle ScholarPubMed
Grimby, G., Andrén, E., Holmgren, E.et al. (1996). Structure of a combination of functional independence measure and instrumental activity measure items in community-living persons: a study of individuals with cerebral palsy and spina bifidaArchives of Physical Medicine and Rehabilitation 77:1109–14CrossRefGoogle ScholarPubMed
Nordenskiold, U. (1996). Daily Activities in Women with Rheumatoid Arthritis. Goteborg, Sweden: Goteborg University
Doble, S. E., Fisher, A. G. (1998). The dimensionality and validity of the older Americans resource services (OARS) activities of daily living (ADL) scaleJournal of Outcome Measurement 2(1):4–24Google Scholar
Grimby, G., Andren, E., Daving, Y.et al. (1998). Dependence and perceived difficulty in daily activities in community-living stroke survivors 2 years after strokeStroke 29:1843–9CrossRefGoogle ScholarPubMed
Carter, J., Wilkinson, L. (1984). A latent trait analysis of the MMPIMultivariate Behavioral Research 19:385–407CrossRefGoogle ScholarPubMed
Steinberg, L., Thissen, D. (1995). Item response theory in personality research. In Personality, Research, Methods, and Theory: a Festschrift Honoring Donald W. Fisk, ed. P. E. Shrout, S. T. Fisk, pp. 161–81. Hillsdale, NJ: Lawrence Erlbaum Associates
Gray-Little, B., Williams, V., Hancock, T. (1997). An item response theory analysis of the Rosenberg Self-Esteem ScalePersonality and Social Psychology Bulletin 23(5):443–51CrossRefGoogle Scholar
Payne, S. (1951). The Art of Asking Questions. Princeton, NJ: Princeton University Press
Wesman, A. (1971). Writing the test item. In Educational Measurement, ed. R. Thorndike, pp. 81–129. Washington, DC: American Council on Education
Andrich, D. (1995). Distinctive and incompatible properties of the common classes of IRT models for graded responsesApplied Psychological Measurement 19(1):101–19CrossRefGoogle Scholar
Wright, B., Masters, G. (1982). Rating Scale Analysis. Chicago, IL: MESA Press
Gibbons, R., Clark, D., Cavanaugh, S.et al. (1985). Application of modern psychometric theory in psychiatric researchJournal of Psychiatric Research 19(1):43–55CrossRefGoogle ScholarPubMed
Steinberg, L. (1994). Context and serial-order effects in personality measurement: limits on the generality of measuring changes the measureJournal of Personality and Social Psychology 66(2):341–9CrossRefGoogle Scholar
Kirisci, L., Clark, D., Moss, H. (1996). Reliability and validity of the State-Trait Anxiety Inventory for Children in adolescent substance abusers: Confirmatory factor analysis and item response theoryJournal of Child and Adolescent Substance Abuse 5(3):57–69CrossRefGoogle Scholar
Kirisci, L., Moss, H., Tarter, R. (1996). Psychometric evaluation of the situational confidence questionnaire in adolescents: fitting a graded item response modelAddictive Behaviors 21(3):303–17CrossRefGoogle Scholar
Cooke, D. J., Michie, C. (1997). An item response theory analysis of the Hare psychopathy checklist-revisedPsychological Assessment 9(1):3–14CrossRefGoogle Scholar
Kim, Y., Pilkonis, P. A. (1999). Selecting the most informative items in the IIP scales for personality disorders: an application of item response theoryJournal of Personality Disorders 13(2):157–74CrossRefGoogle ScholarPubMed
Waller, N. (1999). Searching for structure in the MMPI. In The New Rules of Measurement, ed. S. Embretson, S. Hershberger, pp. 185–217. Mahwah, NJ: Lawrence Erlbaum Associates
Marshall, G., Orlando, M., Jaycox, L.et al. (2002). Development and validation of a modified version of the Peritraumatic Dissociative Experiences QuestionnairePsychological Assessment 14(2):123–34CrossRefGoogle ScholarPubMed
Masters, G. (1982). A Rasch model for partial credit scoringPsychometrika 47(2):149–74CrossRefGoogle Scholar
Kolen, M., Brennan, R. (1995). Test Equating: Methods and Practices. New York: Springer-Verlag
Feuer, M., Holland, P., Green, B. et al. (1999). Uncommon Measures: Equivalence and Linkage among Educational Tests. Washington, DC: National Academy Press
Reise, S., Henson, J. (2000). Computerization and adaptive administration of the NEO PI-RPsychological Assessment 7(4):347–67CrossRefGoogle ScholarPubMed
Green, B. F. (1983). The promise of tailored tests. In Principles of Modern Psychological Measurement, ed. H. Wainer, S. Messick, pp. 69–80. Hillsdale, NJ: Lawrence Erlbaum Associates
Hambleton, R. K., Jones, R. W. (1993). Comparison of classical test theory and item response theory and their applications to test developmentEducation Measurement: Issues and Practice Fall:38–47Google Scholar
Waller, N., Reise, S. (1989). Computerized adaptive personality assessment: an illustration with the Absorption ScaleJournal of Personality and Social Psychology 57(6):1051–8CrossRefGoogle ScholarPubMed
Koch, W. R., Dodd, B. G., Fitzpatrich, S. J. (1990). Computerized adaptive measurements of attitudesMeasurement and Evaluation in Counseling and Development 23:20–30Google Scholar
Dodd, B., Ayala, R., Koch, W. R. (1995). Computerized adaptive testing with polytomous itemsApplied Psychological Measurement 19(1):5–22CrossRefGoogle Scholar
Hambleton, R., Slater, S. (1997). Item response theory models and testing practices: current international status and future directionsEuropean Journal of Psychological Assessment 13(1):21–8CrossRefGoogle Scholar
Shapiro, M. (1994). Is the spirit of capitalism undermining the ethics of health services research?Health Services Research 28(6):661–72Google ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×