Literature DB >> 28208186

Comparison of Patient Report and Medical Records of Comorbidities: Results From a Population-Based Cohort of Patients With Prostate Cancer.

Fan Ye1, Dominic H Moon1, William R Carpenter2,3,4, Bryce B Reeve2,3,4, Deborah S Usinger1, Rebecca L Green1, Kiayni Spearman1, Nathan C Sheets1, Kevin A Pearlstein1, Angela R Lucero1, Mark R Waddle1, Paul A Godley2, Ronald C Chen1,2.   

Abstract

IMPORTANCE: The comorbid conditions of patients with cancer affect treatment decisions, which in turn affect survival and health-related quality-of-life outcomes. Comparative effectiveness research studies must account for these conditions via medical record abstraction or patient report.
OBJECTIVE: To examine the agreement between medical records and patient reports in assessing comorbidities. DESIGN, SETTING, AND PARTICIPANTS: Patient-reported information and medical records were prospectively collected as part of the North Carolina Prostate Cancer Comparative Effectiveness & Survivorship Study, a population-based cohort of 881 patients with newly diagnosed localized prostate cancer enrolled in the North Carolina Central Cancer Registry from January 1, 2011, through June 30, 2013. The presence or absence of 20 medical conditions was compared based on patient report vs abstraction of medical records. MAIN OUTCOMES AND MEASURES: Agreement between patient reports and medical records for each condition was assessed using the κ statistic. Subgroup analyses examined differences in κ statistics based on age, race, marital status, educational level, and income. Logistic regression models for each condition examined factors associated with higher agreement.
RESULTS: A total of 881 patients participated in the study (median age, 65 years; age range, 41-80 years; 633 white [71.9%]). In 16 of 20 conditions, there was agreement between patient reports and medical records for more than 90% of patients; agreement was lowest for hyperlipidemia (68%; κ = 0.36) and arthritis (66%; κ = 0.14). On multivariable analysis, older age (≥70 years old) was significantly associated with lower agreement for myocardial infarction (odds ratio [OR], 0.31; 95% CI, 0.12-0.80), cerebrovascular disease (OR, 0.10; 95% CI, 0.01-0.78), coronary artery disease (OR, 0.37; 95% CI, 0.20-0.67), arrhythmia (OR, 0.44; 95% CI, 0.25-0.79), and kidney disease (OR, 0.18; 95% CI, 0.06-0.52). Race and educational level were not significantly associated with κ in 18 of 19 modeled conditions. CONCLUSIONS AND RELEVANCE: Overall, patient reporting provides information similar to medical record abstraction without significant differences by patient race or educational level. Use of patient reports, which are less costly than medical record audits, is a reasonable approach for observational comparative effectiveness research.

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Year:  2017        PMID: 28208186      PMCID: PMC5824220          DOI: 10.1001/jamaoncol.2016.6744

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  31 in total

Review 1.  Measuring comorbidity in older cancer patients.

Authors:  M Extermann
Journal:  Eur J Cancer       Date:  2000-03       Impact factor: 9.162

2.  Understanding interobserver agreement: the kappa statistic.

Authors:  Anthony J Viera; Joanne M Garrett
Journal:  Fam Med       Date:  2005-05       Impact factor: 1.756

3.  Factors associated with initial therapy for clinically localized prostate cancer: prostate cancer outcomes study.

Authors:  L C Harlan; A Potosky; F D Gilliland; R Hoffman; P C Albertsen; A S Hamilton; J W Eley; J L Stanford; R A Stephenson
Journal:  J Natl Cancer Inst       Date:  2001-12-19       Impact factor: 13.506

4.  The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus.

Authors:  M H Kaplan; A R Feinstein
Journal:  J Chronic Dis       Date:  1974-09

Review 5.  Cancer treatment and survivorship statistics, 2012.

Authors:  Rebecca Siegel; Carol DeSantis; Katherine Virgo; Kevin Stein; Angela Mariotto; Tenbroeck Smith; Dexter Cooper; Ted Gansler; Catherine Lerro; Stacey Fedewa; Chunchieh Lin; Corinne Leach; Rachel Spillers Cannady; Hyunsoon Cho; Steve Scoppa; Mark Hachey; Rebecca Kirch; Ahmedin Jemal; Elizabeth Ward
Journal:  CA Cancer J Clin       Date:  2012-06-14       Impact factor: 508.702

6.  Effect of age and surgical approach on complications and short-term mortality after radical prostatectomy--a population-based study.

Authors:  G L Lu-Yao; P Albertsen; J Warren; S L Yao
Journal:  Urology       Date:  1999-08       Impact factor: 2.649

7.  Impact of comorbidity on health-related quality of life after prostate cancer treatment: combined analysis of two prospective cohort studies.

Authors:  Bryce B Reeve; Ronald C Chen; Dominic T Moore; Allison M Deal; Deborah S Usinger; Jessica C Lyons; James A Talcott
Journal:  BJU Int       Date:  2014-08-16       Impact factor: 5.588

Review 8.  Quality of life: patients and doctors don't always agree: a meta-analysis.

Authors:  A J Janse; R J B J Gemke; C S P M Uiterwaal; I van der Tweel; J L L Kimpen; G Sinnema
Journal:  J Clin Epidemiol       Date:  2004-07       Impact factor: 6.437

Review 9.  Impact of age and comorbidity on treatment and outcomes in elderly cancer patients.

Authors:  Ronald C Chen; Trevor J Royce; Martine Extermann; Bryce B Reeve
Journal:  Semin Radiat Oncol       Date:  2012-10       Impact factor: 5.934

10.  Prognostic importance of comorbidity in a hospital-based cancer registry.

Authors:  Jay F Piccirillo; Ryan M Tierney; Irene Costas; Lori Grove; Edward L Spitznagel
Journal:  JAMA       Date:  2004-05-26       Impact factor: 56.272

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  16 in total

1.  Associations between physical activity and comorbidities in Korean cancer survivors.

Authors:  Dong-Woo Kang; Eun-Young Lee; Ki Yong An; Jihee Min; Justin Y Jeon; Kerry S Courneya
Journal:  J Cancer Surviv       Date:  2018-03-01       Impact factor: 4.442

2.  Comparison of Physician-Documented Versus Patient-Reported Collection of Comorbidities Among Patients With Prostate Cancer Upon First Visit to the Urology Clinic.

Authors:  Katherine Fleshner; Amy Tin; Nicole Benfante; Sigrid Carlsson; Andrew J Vickers
Journal:  JCO Clin Cancer Inform       Date:  2018-12

3.  Chronic comorbid conditions among adult cancer survivors in the United States: Results from the National Health Interview Survey, 2002-2018.

Authors:  Changchuan Jiang; Lei Deng; Matthew A Karr; Yumeng Wen; Qian Wang; Stuthi Perimbeti; Charles L Shapiro; Xuesong Han
Journal:  Cancer       Date:  2021-10-27       Impact factor: 6.860

4.  Effect of new persistent opioid use on physiologic and psychologic outcomes following bariatric surgery.

Authors:  Margaret E Smith; Jay S Lee; Aaron Bonham; Oliver A Varban; Jonathan F Finks; Arthur M Carlin; Amir A Ghaferi
Journal:  Surg Endosc       Date:  2018-10-23       Impact factor: 4.584

5.  Applying patient-reported outcome methodology to capture patient-reported health data: Report from an NIH Collaboratory roundtable.

Authors:  Antonia V Bennett; Mattias Jonsson; Ronald C Chen; Sana M Al-Khatib; Kevin P Weinfurt; Lesley H Curtis
Journal:  Healthc (Amst)       Date:  2020-07-16

6.  Co-morbidities in a Retrospective Cohort of Prostate Cancer Patients.

Authors:  Melanie Jefferson; Richard R Drake; Michael Lilly; Stephen J Savage; Sarah Tucker Price; Chanita Hughes Halbert
Journal:  Ethn Dis       Date:  2020-04-02       Impact factor: 1.847

7.  Patient Report of Recurrent and Persistent Thyroid Cancer.

Authors:  Maria Papaleontiou; Josh M Evron; Nazanene H Esfandiari; David Reyes-Gastelum; Kevin C Ward; Ann S Hamilton; Francis Worden; Megan R Haymart
Journal:  Thyroid       Date:  2020-04-16       Impact factor: 6.568

8.  Validating the total illness burden index for prostate cancer (TIBI-CaP) in men with castration-resistant prostate cancer: data from TRUMPET.

Authors:  Scott C Flanders; Janet Kim; Samuel Wilson; Jeffrey Braziunas; Sheldon Greenfield; John Billimek; Stanislav Lechpammer; Daniel W Lin; Lawrence Karsh; David I Quinn; Daniel Shevrin; Neal D Shore; James T Symanowski; David F Penson
Journal:  Future Oncol       Date:  2018-02-08       Impact factor: 3.404

9.  Patient-reported outcomes 12 months after hepatitis C treatment with direct-acting antivirals: Results from the PROP UP study.

Authors:  Marina Serper; Donna M Evon; Jipcy Amador; Paul W Stewart; Souvik Sarkar; Anna S Lok; Richard K Sterling; Bryce B Reeve; Carol E Golin; K Rajender Reddy; Joseph K Lim; Nancy Reau; David R Nelson; Adrian M Di Bisceglie; Michael W Fried
Journal:  Liver Int       Date:  2021-01-22       Impact factor: 5.828

10.  Receipt of recommended complications and comorbidities screening in youth and young adults with type 1 diabetes: Associations with metabolic status and satisfaction with care.

Authors:  Faisal S Malik; Jeanette M Stafford; Beth A Reboussin; Georgeanna J Klingensmith; Dana Dabelea; Jean M Lawrence; Elizabeth Mayer-Davis; Sharon Saydah; Sarah Corathers; Catherine Pihoker
Journal:  Pediatr Diabetes       Date:  2019-12-16       Impact factor: 3.409

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