Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Characteristics of Insured Patients With Persistent Gaps in Diabetes Care Services

The Translating Research into Action for Diabetes (TRIAD) Study

Bibliographic Data

ID9099683
AuthorsEdward W Gregg (0000-0003-2381-6822, Centers for Disease Control and Prevention, corresponding author), Andrew J Karter (0000-0001-5527-316X, Lee University), Robert B Gerzoff (0000-0002-4538-6109, Centers for Disease Control and Prevention, corresponding author), Monika M Safford (0000-0002-3060-0563, University of Alabama at Birmingham), Monika Safford, Arleen F Brown (0000-0001-9948-8955, University of California, Los Angeles), Chien-Wen Tseng, Chien‐Wen Tseng (0000-0001-7162-2550, University of Hawaiʻi at Mānoa), Beth Waitzfielder (Pacific Health Research and Education Institute), William H Herman (0000-0002-0502-674X, Centers for Disease Control and Prevention, corresponding author), Carol M Mangione (0000-0002-9475-2275, University of California, Los Angeles), Joseph V Selby (Kaiser Permanente), Theodore J Thompson (0000-0001-7373-314X, Centers for Disease Control and Prevention, corresponding author), R Adams Dudley (0000-0002-8532-8552, Kaiser Permanente)
Year2010
Volume48
Issue1
Pages31-37
Publication date2010-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3181bd4783
PMID20009778
PMCIDPMC4269465
OpenAlexW2030152347
LanguageEN
Citations received3
References cited31

BACKGROUND: Although preventing diabetes complications requires long-term management, little is known about which patients persistently fail to get recommended care. OBJECTIVE: To determine the frequency and correlates of persistent, long-term gaps in diabetes care. METHOD: : The study population included 8392 patients with diabetes. Patient surveys and medical records from 10 health plans over 3 years provided data on socioeconomic characteristics, access to care, social support, and mental and physical health, and diabetes preventive care services. We defined a "persistent gap" as a participant's missing a preventive care service for the entire 3 years. Services considered included hemoglobin A1c, cholesterol, and albuminuria tests, and foot and dilated eye examinations. RESULTS: Thirty percent of participants had at least 1 persistent gap. The most common gaps were lipid testing (11.6%), microalbuminuria testing (9.7%), and eye examinations (9.0%). Persistent gaps were 18% to 42% higher for young patients, lean persons, those with low income, employed persons, smokers, those with diabetes less than 5 years, and patients with none or 1 comorbid conditions. Sex, education, marital status, family demands, transportation, trust in physicians, and mental health were not associated with gaps in care. CONCLUSIONS: Persistent gaps in diabetes care are common even among insured patients. Patients with lower income, younger age, fewer years of diabetes, having fewer comorbidities, taking fewer medications, and poor health behaviors are vulnerable to persistent gaps in care and a group who warrant targeted interventions to improve preventive diabetes care

Diabetes mellitus · Environmental health · Family medicine · Health care · Marital status · Medical record · Population · Psychiatry · Psychological intervention · Socioeconomic status · Type 2 diabetes · Chronic Disease Management Strategies · Diabetes Management and Education · Diabetes, Cardiovascular Risks, and Lipoproteins · Internal Medicine · Medicine · Gerontology

  • Prevalence of cardiovascular disease among Asian, Pacific Islander and multi-race populations in Hawai’i and California

    Open Access•Beth Waitzfelder, Beth E Waitzfelder et al.•BMC Public Health•2023

  • Trend and Factors Associated With Healthcare Use and Costs in Type 2 Diabetes Mellitus

    Jur-Shan Cheng, J S Cheng et al.•Medical Care•2015

  • Effect of Patient Selection Method on Provider Group Performance Estimates

    Carolyn T Thorpe, Grace E Flood et al.•Medical Care•2011

  • Predictive Margins with Survey Data

    Open Access•Barry I Graubard, Edward L Korn•Biometrics•1999

  • Multiple imputation

    Open Access•Joseph L Schafer•Statistical Methods in Medical…•1999

  • Multiple imputation in health‐are databases

    Open Access•Donald B Rubin, Nathaniel Schenker•Statistics in Medicine•1991

  • Models for Longitudinal Data

    Scott L Zeger, Kung-Yee Liang et al.•Biometrics•1988

  • Socioeconomic Position and Health among Persons with Diabetes Mellitus

    Arleen F Brown•Epidemiologic Reviews•2004

  • A 12-Item Short-Form Health Survey

    John E Ware, Mark Kosinski et al.•Medical Care•1996

  • The PHQ-9

    Kurt Kroenke, Robert L Spitzer et al.•Journal of General Internal…•2001

  • A new method of classifying prognostic comorbidity in longitudinal studies

    Open Access•Mary E Charlson, Peter Pompei et al.•Journal of Chronic Diseases•1987

  • Understanding the Gap Between Good Processes of Diabetes Care and Poor Intermediate Outcomes

    Joe V Selby, Bix E Swain et al.•Medical Care•2007

  • The Primary Care Assessment Survey

    Dana Gelb Safran, Mark Kosinski et al.•Medical Care•1998

  • Identifying Risk Factors for Racial Disparities in Diabetes Outcomes

    O Kenrik Duru, Robert B Gerzoff et al.•Medical Care•2009

Unique citing works3
Citations per year0,2
Citation span2011 - 2023 (13)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae