Literature DB >> 17530449

Enhancing measurement in health outcomes research supported by Agencies within the US Department of Health and Human Services.

Bryce B Reeve1, Laurie B Burke, Yen-pin Chiang, Steven B Clauser, Lisa J Colpe, Jeffrey W Elias, John Fleishman, Ann A Hohmann, Wendy L Johnson-Taylor, William Lawrence, Claudia S Moy, Louis A Quatrano, William T Riley, Barbara A Smothers, Ellen M Werner.   

Abstract

Many of the Institutes, Agencies and Centers that make up the US Department of Health and Human Services (DHHS) have recognized the need for better instrumentation in health outcomes research, and provide support, both internally and externally, for research utilizing advances in measurement theory and computer technology (informatics). In this paper, representatives from several DHHS agencies and institutes will discuss their need for better instruments within their discipline and describe current or future initiatives for exploring the benefits of these technologies. Together, the perspectives underscore the importance of developing valid, precise, and efficient measures to capture the full burden of disease and treatment on patients. Initiatives, like the Patient-Reported Outcomes Measurement Information System (PROMIS) to create health-related quality of life item banks, represent a trans-DHHS effort to develop a standard set of measures for informing decision making in clinical research, practice, and health policy.

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Year:  2007        PMID: 17530449     DOI: 10.1007/s11136-007-9190-8

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  29 in total

1.  Psychometric properties of the CAHPS 1.0 survey measures. Consumer Assessment of Health Plans Study.

Authors:  R D Hays; J A Shaul; V S Williams; J S Lubalin; L D Harris-Kojetin; S F Sweeny; P D Cleary
Journal:  Med Care       Date:  1999-03       Impact factor: 2.983

2.  Confirmatory factor analysis of the Consumer Assessment of Health Plans Study (CAHPS) 1.0 Core Survey.

Authors:  G N Marshall; L S Morales; M Elliott; K Spritzer; R D Hays
Journal:  Psychol Assess       Date:  2001-06

3.  Categorical versus dimensional approaches to diagnosis: methodological challenges.

Authors:  Helena Chmura Kraemer; Art Noda; Ruth O'Hara
Journal:  J Psychiatr Res       Date:  2004-01       Impact factor: 4.791

4.  Modeling intraindividual change in personality traits: findings from the normative aging study.

Authors:  Daniel K Mroczek; Avron Spiro
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2003-05       Impact factor: 4.077

5.  Demographic variation in SF-12 scores: true differences or differential item functioning?

Authors:  John A Fleishman; William F Lawrence
Journal:  Med Care       Date:  2003-07       Impact factor: 2.983

6.  Classical test theory and item response theory analyses of multi-item scales assessing parents' perceptions of their children's dental care.

Authors:  Ron D Hays; Julie Brown; Lorraine U Brown; Karen L Spritzer; James J Crall
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

7.  FDA draft guidance and health-outcomes research.

Authors:  Dennis A Revicki
Journal:  Lancet       Date:  2007-02-17       Impact factor: 79.321

Review 8.  Does coronary bypass surgery have a favorable influence on the quality of life?

Authors:  H C Smith; R L Frye; J M Piehler
Journal:  Cardiovasc Clin       Date:  1983

9.  Prevalence of overweight and obesity in the United States, 1999-2004.

Authors:  Cynthia L Ogden; Margaret D Carroll; Lester R Curtin; Margaret A McDowell; Carolyn J Tabak; Katherine M Flegal
Journal:  JAMA       Date:  2006-04-05       Impact factor: 56.272

10.  The importance of patient-reported outcomes...it's all about the patients.

Authors:  Linda Bren
Journal:  FDA Consum       Date:  2006 Nov-Dec
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  21 in total

Review 1.  Interfaces across the cancer continuum offer opportunities to improve the process of care.

Authors:  Stephen H Taplin; Steve Clauser; Anne B Rodgers; Erica Breslau; Daniel Rayson
Journal:  J Natl Cancer Inst Monogr       Date:  2010

2.  Using Qualitative Research to Inform the Development of a Comprehensive Outcomes Assessment for Asthma.

Authors:  Diane M Turner-Bowker; Renee N Saris-Baglama; Michael A Derosa; Christine A Paulsen; Christopher P Bransfield
Journal:  Patient       Date:  2009-12-01       Impact factor: 3.883

3.  Using qualitative research to inform the development of a comprehensive outcomes assessment for asthma.

Authors:  Diane M Turner-Bowker; Renee N Saris-Baglama; Michael A Derosa; Christine A Paulsen; Christopher P Bransfield
Journal:  Patient       Date:  2009-12-01       Impact factor: 3.883

4.  simpolycat: an SAS program for conducting CAT simulation based on polytomous IRT models.

Authors:  Ssu-Kuang Chen; Karon F Cook
Journal:  Behav Res Methods       Date:  2009-05

Review 5.  Advances in the assessment of fibromyalgia.

Authors:  David A Williams; Stephen Schilling
Journal:  Rheum Dis Clin North Am       Date:  2009-05       Impact factor: 2.670

6.  Initial Evaluation of the Pediatric PROMIS® Health Domains in Children and Adolescents With Sickle Cell Disease.

Authors:  Carlton Dampier; Vaughn Barry; Heather E Gross; Yang Lui; Courtney D Thornburg; Darren A DeWalt; Bryce B Reeve
Journal:  Pediatr Blood Cancer       Date:  2016-02-19       Impact factor: 3.167

7.  Cognitive interviewing of bereaved relatives to improve the measurement of health outcomes and care utilisation at the end of life in a mortality followback survey.

Authors:  Barbara Gomes; Paul McCrone; Sue Hall; Julia Riley; Jonathan Koffman; Irene J Higginson
Journal:  Support Care Cancer       Date:  2013-06-08       Impact factor: 3.603

8.  Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT's unidimensionality assumption.

Authors:  Karon F Cook; Michael A Kallen; Dagmar Amtmann
Journal:  Qual Life Res       Date:  2009-03-18       Impact factor: 4.147

9.  Are Americans feeling less healthy? The puzzle of trends in self-rated health.

Authors:  Joshua A Salomon; Stella Nordhagen; Shefali Oza; Christopher J L Murray
Journal:  Am J Epidemiol       Date:  2009-06-29       Impact factor: 4.897

10.  Nomogram for predicting symptom severity during radiation therapy for head and neck cancer.

Authors:  Tommy Sheu; Clifton David Fuller; Tito R Mendoza; Adam S Garden; William H Morrison; Beth M Beadle; Jack Phan; Steven J Frank; Ehab Y Hanna; Charles Lu; Charles S Cleeland; David I Rosenthal; G Brandon Gunn
Journal:  Otolaryngol Head Neck Surg       Date:  2014-08-07       Impact factor: 3.497

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