Literature DB >> 24399443

Agreement Between Self-Report and Medical Record Prevalence of 16 Chronic Conditions in the Alaska EARTH Study.

Kathryn R Koller1, Amy S Wilson2, Elvin D Asay2, Jesse S Metzger3, Diane E Neal4.   

Abstract

The gold standard for health information is the health record. Hospitalization and outpatient diagnoses provide health systems with data on which to project health costs and plan programmatic changes. Although health record information may be reliable and perceived as accurate, it may not include population-specific information and may exclude care provided outside a specific health care facility. Sole reliance on medical record information may lead to underutilization of health care services and inadequate assessment of population health status. In this study, we analyzed agreement, without assuming a gold standard, between self-reported and recorded chronic conditions in an American Indian/Alaska Native cohort. Self-reported health history was collected from 3821 adult participants of the Alaska EARTH study during 2004-2006. Participant medical records were electronically accessed and reviewed. Self-reported chronic conditions were underreported in relation to the medical record and both information sources reported the absence more reliably than the presence of conditions (across conditions, median positive predictive value = 64%, median negative predictive value = 94%). Agreement was affected by age, gender, and education. Differences between participant- and provider-based prevalence of chronic conditions demonstrate why health care administrators and policy makers should not rely exclusively on medical record-based administrative data for a comprehensive evaluation of population health.
© The Author(s) 2014.

Entities:  

Keywords:  Alaska Native people; chronic disease; medical record agreement; prevalence; self-report

Mesh:

Year:  2014        PMID: 24399443     DOI: 10.1177/2150131913517902

Source DB:  PubMed          Journal:  J Prim Care Community Health        ISSN: 2150-1319


  12 in total

1.  Cancer incidence and associations with known risk and protective factors: the Alaska EARTH study.

Authors:  Sarah H Nash; Gretchen Day; Garrett Zimpelman; Vanessa Y Hiratsuka; Kathryn R Koller
Journal:  Cancer Causes Control       Date:  2019-08-19       Impact factor: 2.506

2.  Measurement error and misclassification in electronic medical records: methods to mitigate bias.

Authors:  Jessica C Young; Mitchell M Conover; Michele Jonsson Funk
Journal:  Curr Epidemiol Rep       Date:  2018-09-10

Review 3.  Individual Data Linkage of Survey Data with Claims Data in Germany-An Overview Based on a Cohort Study.

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Journal:  Int J Environ Res Public Health       Date:  2017-12-09       Impact factor: 3.390

4.  Agreement between self-reported and central cancer registry-recorded prevalence of cancer in the Alaska EARTH study.

Authors:  Sarah H Nash; Gretchen Day; Vanessa Y Hiratsuka; Garrett L Zimpelman; Kathryn R Koller
Journal:  Int J Circumpolar Health       Date:  2019-12       Impact factor: 1.228

5.  Follow-up Study Methods for a Longitudinal Cohort of Alaska Native and American Indian People Living within Urban South Central Alaska: The EARTH Study.

Authors:  Julie A Beans; Vanessa Y Hiratsuka; Aliassa L Shane; Gretchen E Day; Diana G Redwood; Christie A Flanagan; Amy Swango Wilson; Barbara V Howard; Jason G Umans; Kathryn R Koller
Journal:  J Community Health       Date:  2019-10

6.  Agreement between self-reports, proxy-reports and the National Patient Register regarding diagnoses of cardiovascular disorders and diabetes mellitus in a population-based sample of 80-year-olds.

Authors:  Lina Rydén; Robert Sigström; Johan Nilsson; Valter Sundh; Hanna Falk Erhag; Silke Kern; Margda Waern; Svante Östling; Katarina Wilhelmson; Ingmar Skoog
Journal:  Age Ageing       Date:  2019-07-01       Impact factor: 10.668

7.  Comparing health insurance data and health interview survey data for ascertaining chronic disease prevalence in Belgium.

Authors:  Finaba Berete; Stefaan Demarest; Rana Charafeddine; Olivier Bruyère; Johan Van der Heyden
Journal:  Arch Public Health       Date:  2020-11-17

8.  Response to the letter.

Authors:  Sarah H Nash; Gretchen Day; Vanessa Y Hiratsuka; Garrett L Zimpelman; Kathryn R Koller
Journal:  Int J Circumpolar Health       Date:  2020-12       Impact factor: 1.228

9.  Is there an agreement between self-reported medical diagnosis in the CARTaGENE cohort and the Québec administrative health databases?

Authors:  Y Payette; C S de Moura; C Boileau; S Bernatsky; N Noisel
Journal:  Int J Popul Data Sci       Date:  2020-03-26

10.  How effective are population health surveys for estimating prevalence of chronic conditions compared to anonymised clinical data?

Authors:  T Whiffen; A Akbari; T Paget; S Lowe; R Lyons
Journal:  Int J Popul Data Sci       Date:  2020-06-12
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