• Login
    View Item 
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Population and Quantitative Health Sciences
    • Population and Quantitative Health Sciences Publications
    • View Item
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Population and Quantitative Health Sciences
    • Population and Quantitative Health Sciences Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of eScholarship@UMassChanCommunitiesPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsThis CollectionPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywords

    My Account

    LoginRegister

    Help

    AboutSubmission GuidelinesData Deposit PolicySearchingAccessibilityTerms of UseWebsite Migration FAQ

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Patient complexity and diabetes quality of care in rural settings

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Salanitro, Amanda H.
    Safford, Monika M.
    Houston, Thomas K.
    Williams, Jessica H.
    Ovalle, Fernando
    Payne-Foster, Pamela
    Allison, Jeroan J.
    Estrada, Carlos A.
    UMass Chan Affiliations
    Department of Quantitative Health Sciences
    Document Type
    Journal Article
    Publication Date
    2011-03-15
    Keywords
    Age Factors
    Aged
    Alabama
    Data Interpretation, Statistical
    Diabetes Mellitus
    Female
    Hemoglobin A, Glycosylated
    Humans
    Hypoglycemic Agents
    Insulin
    Male
    Middle Aged
    Physician's Practice Patterns
    Primary Health Care
    *Quality of Health Care
    Randomized Controlled Trials as Topic
    Risk Factors
    Rural Health Services
    Rural Population
    United States
    UMCCTS funding
    Biostatistics
    Endocrine System Diseases
    Epidemiology
    Health Services Research
    Nutritional and Metabolic Diseases
    Show allShow less
    
    Metadata
    Show full item record
    Link to Full Text
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3156053/pdf/nihms313984.pdf
    Abstract
    PURPOSE: Even though pay-for-performance programs are being rapidly implemented, little is known about how patient complexity affects practice-level performance assessment in rural settings. We sought to determine the association between patient complexity and practice-level performance in the rural United States. BASIC PROCEDURES: Using baseline data from a trial aimed at improving diabetes care, we determined factors associated with a practice's proportion of patients having controlled diabetes (hemoglobin A1c MAIN FINDINGS: Rural primary care practices (n=135) in 11 southeastern states provided information for 1641 patients with diabetes. For practices in the best quartile of observed control, 76.1% of patients had controlled diabetes vs 19.3% of patients in the worst quartile. After controlling for other variables, proportions of diabetes control were 10% lower in those practices whose patients had the greatest difficulty with either self testing or appointment keeping (p PRINCIPAL CONCLUSIONS: Basing public reporting and resource allocation on quality assessment that does not account for patient characteristics may further harm this vulnerable group of patients and physicians.
    Source
    J Natl Med Assoc. 2011 Mar;103(3):234-40.
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/46533
    PubMed ID
    21671526
    Related Resources
    Link to Article in PubMed
    Collections
    Population and Quantitative Health Sciences Publications
    UMass Center for Clinical and Translational Science Supported Publications

    entitlement

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Lamar Soutter Library, UMass Chan Medical School | 55 Lake Avenue North | Worcester, MA 01655 USA
    Quick Guide | escholarship@umassmed.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.