Literature DB >> 15778642

Do patients consistently report comorbid conditions over time?: results from the prostate cancer outcomes study.

Carrie N Klabunde1, Bryce B Reeve, Linda C Harlan, William W Davis, Arnold L Potosky.   

Abstract

BACKGROUND: Comorbidity is an important dimension of patient health status. However, limited attention has been given to assessing the reliability of patient-reported data on comorbid conditions.
OBJECTIVES: We sought to evaluate the consistency of self-report of 12 comorbid conditions at 3 distinct time points and examine the sociodemographic, clinical, health status, and survey factors associated with reliability. STUDY
DESIGN: We undertook a longitudinal cohort analysis of survey and medical record abstract data obtained from a population-based sample of 3095 prostate cancer survivors.
METHODS: Consistent and inconsistent response patterns were assessed using descriptive statistics and regression modeling.
RESULTS: More than half of the cohort demonstrated consistent responses to all comorbid condition questionnaire items. Arthritis had the highest (13%) and liver disease the lowest (1%) proportion of inconsistent responses. Older age, lower income, and poorer general and mental health status were significant predictors of inconsistent responses. Subset analyses of the 4 most prevalent comorbid conditions (ie, arthritis, diabetes, hypertension, and depression) showed that respondents who reported that they were limited by, or taking prescription medicine for, the condition were more likely to provide consistent responses than those neither limited nor taking medicine. Response consistencies of 92% or better were obtained for 11 of the 12 conditions.
CONCLUSIONS: Men with a relatively recent prostate cancer diagnosis are generally able to provide reliable reports of their concomitant health conditions. To increase the likelihood of obtaining reliable data, investigators should consider ascertaining condition severity and current medical management when querying subjects about comorbid conditions in surveys.

Entities:  

Mesh:

Year:  2005        PMID: 15778642     DOI: 10.1097/01.mlr.0000156851.80900.d1

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  24 in total

1.  Diabetes mellitus and health-related quality of life in prostate cancer: 5-year results from the Prostate Cancer Outcomes Study.

Authors:  Melissa S Y Thong; Lonneke van de Poll-Franse; Richard M Hoffman; Peter C Albertsen; Ann S Hamilton; Janet L Stanford; David F Penson
Journal:  BJU Int       Date:  2010-11-11       Impact factor: 5.588

2.  Inconsistencies in self-reported health conditions: results of a nationwide panel study.

Authors:  Heidi Amalie Rosendahl Jensen; Michael Davidsen; Anne Illemann Christensen; Ola Ekholm
Journal:  Int J Public Health       Date:  2019-08-17       Impact factor: 3.380

3.  Association of Actual and Preferred Decision Roles With Patient-Reported Quality of Care: Shared Decision Making in Cancer Care.

Authors:  Kenneth L Kehl; Mary Beth Landrum; Neeraj K Arora; Patricia A Ganz; Michelle van Ryn; Jennifer W Mack; Nancy L Keating
Journal:  JAMA Oncol       Date:  2015-04       Impact factor: 31.777

4.  Impact of prostate cancer on sexual relationships: a longitudinal perspective on intimate partners' experiences.

Authors:  Scott D Ramsey; Steven B Zeliadt; David K Blough; Carol M Moinpour; Ingrid J Hall; Judith Lee Smith; Donatus U Ekwueme; Catherine R Fedorenko; Megan E Fairweather; Lisel M Koepl; Ian M Thompson; Thomas E Keane; David F Penson
Journal:  J Sex Med       Date:  2013-09-30       Impact factor: 3.802

5.  Prediction of long-term other-cause mortality in men with early-stage prostate cancer: results from the Prostate Cancer Outcomes Study.

Authors:  Timothy J Daskivich; Kang-Hsien Fan; Tatsuki Koyama; Peter C Albertsen; Michael Goodman; Ann S Hamilton; Richard M Hoffman; Janet L Stanford; Antoinette M Stroup; Mark S Litwin; David F Penson
Journal:  Urology       Date:  2014-09-26       Impact factor: 2.649

6.  Hypertension, obesity and prostate cancer biochemical recurrence after radical prostatectomy.

Authors:  R Asmar; J L Beebe-Dimmer; K Korgavkar; G R Keele; K A Cooney
Journal:  Prostate Cancer Prostatic Dis       Date:  2012-08-21       Impact factor: 5.554

7.  Financial status, employment, and insurance among older cancer survivors.

Authors:  Marie Norredam; Ellen Meara; Mary Beth Landrum; Haiden A Huskamp; Nancy L Keating
Journal:  J Gen Intern Med       Date:  2009-11       Impact factor: 5.128

8.  Mortality after radical prostatectomy or external beam radiotherapy for localized prostate cancer.

Authors:  Richard M Hoffman; Tatsuki Koyama; Kang-Hsien Fan; Peter C Albertsen; Michael J Barry; Michael Goodman; Ann S Hamilton; Arnold L Potosky; Janet L Stanford; Antoinette M Stroup; David F Penson
Journal:  J Natl Cancer Inst       Date:  2013-04-24       Impact factor: 13.506

9.  Effect of age, tumor risk, and comorbidity on competing risks for survival in a U.S. population-based cohort of men with prostate cancer.

Authors:  Timothy J Daskivich; Kang-Hsien Fan; Tatsuki Koyama; Peter C Albertsen; Michael Goodman; Ann S Hamilton; Richard M Hoffman; Janet L Stanford; Antoinette M Stroup; Mark S Litwin; David F Penson
Journal:  Ann Intern Med       Date:  2013-05-21       Impact factor: 25.391

10.  Understanding cancer patients' experience and outcomes: development and pilot study of the Cancer Care Outcomes Research and Surveillance patient survey.

Authors:  Jennifer L Malin; Clifford Ko; John Z Ayanian; David Harrington; David R Nerenz; Katherine L Kahn; Julie Ganther-Urmie; Paul J Catalano; Alan M Zaslavsky; Robert B Wallace; Edward Guadagnoli; Neeraj K Arora; Maryse D Roudier; Patricia A Ganz
Journal:  Support Care Cancer       Date:  2006-02-16       Impact factor: 3.603

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