Literature DB >> 14606195

Agreement between self-reported information and medical claims data on diagnosed diabetes in Oregon's Medicaid population.

Duyen L Ngo1, Lynn M Marshall, Richard N Howard, Jennifer A Woodward, Karen Southwick, Katrina Hedberg.   

Abstract

Recent trends in Oregon indicated that diabetes is on the rise. Medicaid self-reported data estimated about 11 percent are affected by diabetes, which is twice the prevalence of the general population in Oregon. Little is known about the agreement between self-reported information and medical claims data in the Medicaid population. This study provides an opportunity to compare prevalence of diabetes when the estimates are computed from the two different data sources. A sample of 2,154 Medicaid adults in Oregon (18 to 64 years old) were identified in both the Medicaid claims and self-report survey. The result reported a strong agreement of diabetes definition between the Medicaid claim data and the self-reported survey.

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Year:  2003        PMID: 14606195     DOI: 10.1097/00124784-200311000-00016

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  9 in total

1.  Race/ethnicity and self-reported diabetes among adults in the National Health Interview Survey: 2000-2003.

Authors:  Luisa N Borrell; Natalie D Crawford; Florence J Dailo
Journal:  Public Health Rep       Date:  2007 Sep-Oct       Impact factor: 2.792

2.  Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated.

Authors:  Patricia St Clair; Étienne Gaudette; Henu Zhao; Bryan Tysinger; Roxanna Seyedin; Dana P Goldman
Journal:  Med Care       Date:  2017-08       Impact factor: 2.983

3.  Self-reported diabetes in Hispanic subgroup, non-Hispanic black, and non-Hispanic white populations: National Health Interview Survey, 1997-2005.

Authors:  Luisa N Borrell; Natalie D Crawford; Florence J Dallo; Maria C Baquero
Journal:  Public Health Rep       Date:  2009 Sep-Oct       Impact factor: 2.792

4.  Validity of diabetes self-reports in the Women's Health Initiative.

Authors:  Jody M Jackson; Terese A DeFor; A Lauren Crain; Tessa J Kerby; Lori S Strayer; Cora E Lewis; Evelyn P Whitlock; Selvi B Williams; Mara Z Vitolins; Rebecca J Rodabough; Joseph C Larson; Elizabeth B Habermann; Karen L Margolis
Journal:  Menopause       Date:  2014-08       Impact factor: 2.953

5.  The incidence and prevalence of diabetes mellitus and related atherosclerotic complications in Korea: a National Health Insurance Database Study.

Authors:  Bo Kyung Koo; Chang-Hoon Lee; Bo Ram Yang; Seung-sik Hwang; Nam-Kyong Choi
Journal:  PLoS One       Date:  2014-10-16       Impact factor: 3.240

Review 6.  Systematic review of validated case definitions for diabetes in ICD-9-coded and ICD-10-coded data in adult populations.

Authors:  Bushra Khokhar; Nathalie Jette; Amy Metcalfe; Ceara Tess Cunningham; Hude Quan; Gilaad G Kaplan; Sonia Butalia; Doreen Rabi
Journal:  BMJ Open       Date:  2016-08-05       Impact factor: 2.692

7.  Measuring Subcounty Differences in Population Health Using Hospital and Census-Derived Data Sets: The Missouri ZIP Health Rankings Project.

Authors:  Elna Nagasako; Brian Waterman; Mathew Reidhead; Min Lian; Sarah Gehlert
Journal:  J Public Health Manag Pract       Date:  2018 Jul/Aug

8.  Agreement of antenatal care indicators from self-reported questionnaire and the antenatal care card of women in the 2015 Pelotas birth cohort, Rio Grande do Sul, Brazil.

Authors:  Lina Sofia Morón-Duarte; Andrea Ramirez Varela; Diego G Bassani; Andrea Dâmaso Bertoldi; Marlos R Domingues; Fernando C Wehrmeister; Mariangela Freitas Silveira
Journal:  BMC Pregnancy Childbirth       Date:  2019-11-08       Impact factor: 3.007

9.  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

  9 in total

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