Literature DB >> 23990395

Associations of cancer and other chronic medical conditions with SF-6D preference-based scores in Medicare beneficiaries.

Ron D Hays1, Bryce B Reeve, Ashley Wilder Smith, Steven B Clauser.   

Abstract

PURPOSE: Documenting the impact of different types of cancer on daily functioning and well-being is important for understanding burden relative to other chronic medical conditions. This study examined the impact of 10 different cancers and 13 other chronic medical conditions on health-related quality of life.
METHODS: Health-related quality of life data were gathered on the Medicare Health Outcomes Survey (MHOS) between 1998 and 2002. Cancer information was ascertained using the National Cancer Institute's surveillance, epidemiology, and end results program and linked to MHOS data.
RESULTS: The average SF-6D score was 0.73 (SD = 0.14). Depressive symptoms had the largest unique association with the SF-6D, followed by arthritis of the hip, chronic obstructive pulmonary disease/asthma, stroke, and sciatica. In addition, the majority of cancer types were significantly associated with the SF-6D score, with significant negative weights ranging from -0.01 to -0.02 on the 0-1 health utility scale. Distant stage of cancer was associated with large decrements in the SF-6D ranging from -0.04 (prostate) to -0.08 (female breast).
CONCLUSION: A large number of chronic conditions, including cancer, are associated uniquely with decrements in health utility. The cumulative effects of comorbid conditions have substantial impact on daily functioning and well-being of Medicare beneficiaries.

Entities:  

Mesh:

Year:  2013        PMID: 23990395      PMCID: PMC3938981          DOI: 10.1007/s11136-013-0503-9

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


  18 in total

1.  Agreement about identifying patients who change over time: cautionary results in cataract and heart failure patients.

Authors:  David Feeny; Karen Spritzer; Ron D Hays; Honghu Liu; Theodore G Ganiats; Robert M Kaplan; Mari Palta; Dennis G Fryback
Journal:  Med Decis Making       Date:  2011-10-18       Impact factor: 2.583

2.  Reliability, validity, and minimally important differences of the SF-6D in systemic sclerosis.

Authors:  Dinesh Khanna; Daniel E Furst; Weng Kee Wong; Joel Tsevat; Philip J Clements; Grace S Park; Arnold E Postlethwaite; Mansoor Ahmed; Shaari Ginsburg; Ron D Hays
Journal:  Qual Life Res       Date:  2007-04-03       Impact factor: 4.147

Review 3.  Using QALYs in cancer: a review of the methodological limitations.

Authors:  Martina Garau; Koonal K Shah; Anne R Mason; Qing Wang; Adrian Towse; Michael F Drummond
Journal:  Pharmacoeconomics       Date:  2011-08       Impact factor: 4.981

4.  Relative to the general US population, chronic diseases are associated with poorer health-related quality of life as measured by the Patient-Reported Outcomes Measurement Information System (PROMIS).

Authors:  Nan E Rothrock; Ron D Hays; Karen Spritzer; Susan E Yount; William Riley; David Cella
Journal:  J Clin Epidemiol       Date:  2010-08-05       Impact factor: 6.437

5.  Predicting an SF-6D preference-based score using MCS and PCS scores from the SF-12 or SF-36.

Authors:  Janel Hanmer
Journal:  Value Health       Date:  2009-03-24       Impact factor: 5.725

6.  Effects of mode and order of administration on generic health-related quality of life scores.

Authors:  Ron D Hays; Seongeun Kim; Karen L Spritzer; Robert M Kaplan; Steve Tally; David Feeny; Honghu Liu; Dennis G Fryback
Journal:  Value Health       Date:  2009-05-15       Impact factor: 5.725

7.  Cancer, comorbidities, and health-related quality of life of older adults.

Authors:  Ashley Wilder Smith; Bryce B Reeve; Keith M Bellizzi; Linda C Harlan; Carrie N Klabunde; Marni Amsellem; Arlene S Bierman; Ron D Hays
Journal:  Health Care Financ Rev       Date:  2008

8.  What is the relationship between the minimally important difference and health state utility values? The case of the SF-6D.

Authors:  Stephen J Walters; John E Brazier
Journal:  Health Qual Life Outcomes       Date:  2003-04-11       Impact factor: 3.186

9.  Overview of the SEER--Medicare Health Outcomes Survey linked dataset.

Authors:  Anita Ambs; Joan L Warren; Keith M Bellizzi; Marie Topor; Samuel C Haffer; Steven B Clauser
Journal:  Health Care Financ Rev       Date:  2008

10.  Disparities in HRQOL of cancer survivors and non-cancer managed care enrollees.

Authors:  Steven B Clauser; Neeraj K Arora; Keith M Bellizzi; Samuel C Haffer; Marie Topor; Ron D Hays
Journal:  Health Care Financ Rev       Date:  2008
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  13 in total

1.  Chronic condition clusters and functional impairment in older cancer survivors: a population-based study.

Authors:  Kelly M Kenzik; Erin E Kent; Michelle Y Martin; Smita Bhatia; Maria Pisu
Journal:  J Cancer Surviv       Date:  2016-05-27       Impact factor: 4.442

2.  Diverse Cumulative Impact of Chronic Diseases on Physical Health-Related Quality of Life: Implications for a Measure of Multimorbidity.

Authors:  Melissa Y Wei; Ichiro Kawachi; Olivia I Okereke; Kenneth J Mukamal
Journal:  Am J Epidemiol       Date:  2016-08-16       Impact factor: 4.897

3.  Health-related quality of life in persons with apparent treatment-resistant hypertension on at least four antihypertensives.

Authors:  N W Carris; V Ghushchyan; A M Libby; S M Smith
Journal:  J Hum Hypertens       Date:  2015-06-18       Impact factor: 3.012

4.  Association between Time since Cancer Diagnosis and Health-Related Quality of Life: A Population-Level Analysis.

Authors:  Shi-Yi Wang; Sylvia H Hsu; Cary P Gross; Tara Sanft; Amy J Davidoff; Xiaomei Ma; James B Yu
Journal:  Value Health       Date:  2016-04-07       Impact factor: 5.725

5.  Using Linear Equating to Map PROMIS(®) Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health Utilities Index Mark 3.

Authors:  Ron D Hays; Dennis A Revicki; David Feeny; Peter Fayers; Karen L Spritzer; David Cella
Journal:  Pharmacoeconomics       Date:  2016-10       Impact factor: 4.981

6.  Overlap of Depressive Symptoms with Health-Related Quality-of-Life Measures.

Authors:  Ron D Hays; Peter M Fayers
Journal:  Pharmacoeconomics       Date:  2020-11-02       Impact factor: 4.558

7.  Quantifying the importance of disease burden on perceived general health and depressive symptoms in patients within the Mayo Clinic Biobank.

Authors:  Euijung Ryu; Paul Y Takahashi; Janet E Olson; Matthew A Hathcock; Paul J Novotny; Jyotishman Pathak; Suzette J Bielinski; James R Cerhan; Jeff A Sloan
Journal:  Health Qual Life Outcomes       Date:  2015-07-03       Impact factor: 3.186

8.  Co-morbidity and predictors of health status in older rural breast cancer survivors.

Authors:  Andres Azuero; Rachel Benz; Patrick McNees; Karen Meneses
Journal:  Springerplus       Date:  2014-02-20

9.  Common patterns of morbidity and multi-morbidity and their impact on health-related quality of life: evidence from a national survey.

Authors:  R E Mujica-Mota; M Roberts; G Abel; M Elliott; G Lyratzopoulos; M Roland; J Campbell
Journal:  Qual Life Res       Date:  2014-10-26       Impact factor: 4.147

10.  Cumulative comorbidity burden does not worsen outcomes in management of chronic rhinosinusitis.

Authors:  Amarbir S Gill; Jess C Mace; Ryan Rimmer; Vijay R Ramakrishnan; Daniel M Beswick; Zachary M Soler; James Manor; Richard R Orlandi; Timothy L Smith; Jeremiah A Alt
Journal:  Int Forum Allergy Rhinol       Date:  2021-07-14       Impact factor: 3.858

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