Literature DB >> 17493523

Agreement of self-reported comorbid conditions with medical and physician reports varied by disease among end-stage renal disease patients.

Sharon Stein Merkin1, Kerri Cavanaugh, J Craig Longenecker, Nancy E Fink, Andrew S Levey, Neil R Powe.   

Abstract

OBJECTIVE: To compare self-report of eight diseases with review of medical records and physician reports. STUDY DESIGN AND
SETTING: In a cohort of 965 incident end-stage renal disease (ESRD) patients (Choices for Healthy Outcomes in Caring for End-stage renal disease study), data on existing medical conditions were obtained from medical record abstraction, physician report (CMS Form 2728), and self-report in a baseline questionnaire. We evaluated agreement with kappa statistics (k) and sensitivity of self-report. Regression models were used to examine characteristics associated with agreement.
RESULTS: The results showed excellent or substantial agreement between self-report and the medical record for diabetes (k=0.93) and coronary artery intervention (k=0.79), and poor agreement for chronic obstructive pulmonary disease (k=0.20). Physician-reported prevalence for all diseases was equal or lower than that by self-report. Male patients were more likely to inaccurately report hypertension. Compared to white patients, African American patients were more likely to inaccurately report cardiovascular diseases.
CONCLUSION: In ESRD patients, self-report agreement with the medical record varies with the specific disease. Awareness of diseases of the cardiovascular system appears to be low. African American and male ESRD patients are at risk of low awareness of disease and educational interventions are needed in this high-risk population.

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Mesh:

Year:  2006        PMID: 17493523      PMCID: PMC1991281          DOI: 10.1016/j.jclinepi.2006.09.003

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  39 in total

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2.  Validation of comorbid conditions on the end-stage renal disease medical evidence report: the CHOICE study. Choices for Healthy Outcomes in Caring for ESRD.

Authors:  J Craig Longenecker; Josef Coresh; Michael J Klag; Andrew S Levey; Alice A Martin; Nancy E Fink; Neil R Powe
Journal:  J Am Soc Nephrol       Date:  2000-03       Impact factor: 10.121

3.  What is the concordance between the medical record and patient self-report as data sources for ambulatory care?

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Journal:  Med Care       Date:  2006-02       Impact factor: 2.983

4.  Test characteristics of self-reported hypertension among the Hispanic population: findings from the Hispanic Health and Nutrition Examination Survey.

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Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

5.  High agreement but low kappa: I. The problems of two paradoxes.

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Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

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Authors:  T L Bush; S R Miller; A L Golden; W E Hale
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Journal:  J Epidemiol Community Health       Date:  1982-12       Impact factor: 3.710

8.  Cardiovascular diseases and risk factors in a population-based study in The Netherlands: agreement between questionnaire information and medical records.

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Journal:  Neth J Med       Date:  1999-10       Impact factor: 1.422

9.  Comparison of vignettes, standardized patients, and chart abstraction: a prospective validation study of 3 methods for measuring quality.

Authors:  J W Peabody; J Luck; P Glassman; T R Dresselhaus; M Lee
Journal:  JAMA       Date:  2000-04-05       Impact factor: 56.272

10.  Is questionnaire information valid in the study of a chronic disease such as diabetes? The Nord-Trøndelag diabetes study.

Authors:  K Midthjell; J Holmen; A Bjørndal; G Lund-Larsen
Journal:  J Epidemiol Community Health       Date:  1992-10       Impact factor: 3.710

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  47 in total

Review 1.  Validation of CKD and related conditions in existing data sets: A systematic review.

Authors:  Morgan E Grams; Laura C Plantinga; Elizabeth Hedgeman; Rajiv Saran; Gary L Myers; Desmond E Williams; Neil R Powe
Journal:  Am J Kidney Dis       Date:  2010-08-06       Impact factor: 8.860

2.  Association of Patient Comorbid Conditions With Cancer Clinical Trial Participation.

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Journal:  JAMA Oncol       Date:  2019-03-01       Impact factor: 31.777

3.  Health status of HIV-infected women entering care: baseline medical findings from the women of color initiative.

Authors:  E Byrd Quinlivan; Jason Fletcher; Elizabeth A Eastwood; Arthur E Blank; Niko Verdecias; Katya Roytburd
Journal:  AIDS Patient Care STDS       Date:  2015-01       Impact factor: 5.078

4.  Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records.

Authors:  Jay Patel; Danielle Mowery; Anand Krishnan; Thankam Thyvalikakath
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

5.  Consistency and precision of cancer reporting in a multiwave national panel survey.

Authors:  Anna Zajacova; Jennifer Beam Dowd; Robert F Schoeni; Robert B Wallace
Journal:  Popul Health Metr       Date:  2010-06-25

6.  Accuracy of patients' reports of comorbid disease and their association with mortality in ESRD.

Authors:  Kerri L Cavanaugh; Sharon Stein Merkin; Laura C Plantinga; Nancy E Fink; John H Sadler; Neil R Powe
Journal:  Am J Kidney Dis       Date:  2008-04-02       Impact factor: 8.860

7.  Prevalence and patient awareness of medical comorbidities in an urban AIDS clinic.

Authors:  Jeffrey J Weiss; Georgina Osorio; Elizabeth Ryan; Sue M Marcus; Dawn A Fishbein
Journal:  AIDS Patient Care STDS       Date:  2010-01       Impact factor: 5.078

8.  Agreement between questionnaire and medical records on some health and socioeconomic problems among poisoning cases.

Authors:  Ahmed I Fathelrahman
Journal:  BMC Res Notes       Date:  2009-09-14

9.  "Don't know" answers concerning somatic disease status should not be regarded as "no" responses.

Authors:  Harald Baumeister
Journal:  Ger Med Sci       Date:  2008-06-02

10.  Accuracy of Veterans Affairs databases for diagnoses of chronic diseases.

Authors:  Jasvinder A Singh
Journal:  Prev Chronic Dis       Date:  2009-09-15       Impact factor: 2.830

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