Literature DB >> 28070913

Does Identification of Previously Undiagnosed Conditions Change Care-Seeking Behavior?

Rebecca M Myerson1, Lisandro D Colantonio2, Monika M Safford3, Elbert S Huang4.   

Abstract

OBJECTIVE: To determine whether identification of previously undiagnosed high cholesterol, hypertension, and/or diabetes during an in-home assessment impacts care seeking among Medicare beneficiaries. DATA SOURCES/STUDY
SETTING: Data from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study, which recruited African American and white participants across the continental United States from 2003-2007, were linked to Medicare claims. STUDY
DESIGN: We used panel data models to analyze changes in doctor visits for evaluation and management of conditions after participants were assessed, utilizing the study's rolling recruitment to control for secular trends. DATA EXTRACTION
METHODS: We extracted Medicare claims for the 24 months before through 24 months after assessment via REGARDS for 5,884 participants. PRINCIPAL
FINDINGS: Semi-annual doctor visits for previously undiagnosed conditions increased by 22 percentage points (95 percent confidence interval: 16-28) 2 years following assessment. The effect was similar by gender, race, region, and Medicaid, but it may have been lower among participants who lacked a usual health care provider.
CONCLUSIONS: In-home assessment of cholesterol, blood pressure, and blood glucose can increase doctor visits for individuals with previously undiagnosed conditions. However, biomarker assessment may have more limited impact among individuals with low access to care. © Health Research and Educational Trust.

Entities:  

Keywords:  Medicare; diabetes; high cholesterol; hypertension; screening

Mesh:

Year:  2017        PMID: 28070913      PMCID: PMC5980362          DOI: 10.1111/1475-6773.12644

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  27 in total

1.  Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report.

Authors: 
Journal:  Circulation       Date:  2002-12-17       Impact factor: 29.690

2.  Despite 'welcome to Medicare' benefit, one in eight enrollees delay first use of part B services for at least two years.

Authors:  Frank A Sloan; Kofi F Acquah; Paul P Lee; Devdutta G Sangvai
Journal:  Health Aff (Millwood)       Date:  2012-06       Impact factor: 6.301

3.  A meta-analysis of the effectiveness of health belief model variables in predicting behavior.

Authors:  Christopher J Carpenter
Journal:  Health Commun       Date:  2010-12

4.  Standards of medical care in diabetes--2014.

Authors: 
Journal:  Diabetes Care       Date:  2014-01       Impact factor: 19.112

5.  The reasons for geographic and racial differences in stroke study: objectives and design.

Authors:  Virginia J Howard; Mary Cushman; Leavonne Pulley; Camilo R Gomez; Rodney C Go; Ronald J Prineas; Andra Graham; Claudia S Moy; George Howard
Journal:  Neuroepidemiology       Date:  2005-06-29       Impact factor: 3.282

6.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

7.  Identifying chronic conditions in Medicare claims data: evaluating the Chronic Condition Data Warehouse algorithm.

Authors:  Yelena Gorina; Ellen A Kramarow
Journal:  Health Serv Res       Date:  2011-06-07       Impact factor: 3.402

8.  Disparities in stroke incidence contributing to disparities in stroke mortality.

Authors:  Virginia J Howard; Dawn O Kleindorfer; Suzanne E Judd; Leslie A McClure; Monika M Safford; J David Rhodes; Mary Cushman; Claudia S Moy; Elsayed Z Soliman; Brett M Kissela; George Howard
Journal:  Ann Neurol       Date:  2011-03-17       Impact factor: 10.422

9.  Cardiovascular mortality associated with 5 leading risk factors: national and state preventable fractions estimated from survey data.

Authors:  Shivani A Patel; Munir Winkel; Mohammed K Ali; K M Venkat Narayan; Neil K Mehta
Journal:  Ann Intern Med       Date:  2015-08-18       Impact factor: 25.391

10.  General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

Authors:  Ralph B D'Agostino; Ramachandran S Vasan; Michael J Pencina; Philip A Wolf; Mark Cobain; Joseph M Massaro; William B Kannel
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.