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Relative Impact of Patient and Clinic Factors on Adherence to Primary Care Preventive Service Guidelines

An Exploratory Study

Bibliographic Data

ID9102576
AuthorsScott D Ramsey (0000-0001-5972-8280, Fred Hutch Cancer Center, corresponding author), Allen Cheadle (0000-0003-1967-2096, University of Washington), Allen D Cheadle, William E Neighbor (University of Washington), Ed Gore (University of Washington), Patricia Temple (University Physicians), Thomas Staiger, Thomas O Staiger (University of Washington), Harold I Goldberg (University of Washington)
Year2001
Volume39
Issue9
Pages979-989
Publication date2001-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-200109000-00008
PMID11502955
OpenAlexW2318681626
LanguageEN
Citations received4
References cited12

BACKGROUND: Preventive care service use is commonly compared across health plans, clinics, or individual providers, yet little is known about the influence of the clinic versus patient factors on utilization of these services. OBJECTIVES: To measure the relative influence of the facility (clinic) versus patient factors (demographic, behavioral and functional characteristics) on patients' utilization of mammography, Pap smears, cholesterol screening, and retinal exams for those with diabetes. RESEARCH DESIGN: Retrospective analysis, using administrative and patient survey data. SUBJECTS: Enrollees in 2 University-based clinics and a county hospital-based clinic serving a predominantly low-income population with limited access to health care. Eligibility for cervical cancer screening, screening mammography, cholesterol screening, or annual retinal exam (diabetes) was defined by age, sex, and diagnosis. MEASURES: Multivariate models, one using readily available administrative data, and another using detailed health status and behavior data gathered from a clinics-wide survey. RESULTS: Unadjusted screening rates for three of four procedures were significantly and substantially lower at the county hospital based clinic than the two University-based clinics. After adjusting for patient characteristics, utilization of three screening services at the county hospital remained significantly below the University-based clinics (Odds Ratios [95% CI]: mammogram 0.15 [0.06-0.35]; Pap smear 0.32 [0.21-0.50]; cholesterol 0.19 [0.09-0.38]; diabetes retinal exam10.68 [0.93-3.01]). The models with detailed survey data performed only marginally better than the models using only administrative data. CONCLUSIONS: Patient characteristics were much less important than the clinic for predicting whether patients received primary care preventive services. Our results suggest that case mix adjustment is unlikely to explain away discrepancies in performance between clinics or provider groups

Cancer · Cancer screening · Cervical cancer · Diabetes mellitus · Environmental health · Family medicine · Health care · Multivariate analysis · Odds ratio · Pap smears · Population · Preventive care · Diabetes Management and Education · Global Cancer Incidence and Screening · Internal Medicine · Medicine · Primary Care and Health Outcomes

  • Why Don't Some Women Return for Cervical Smears? A Hermeneutic Phenomenological Investigation

    Stephen Buetow, Ron Janes et al.•Health Care For Women International•2007

  • Effects of Patient and Physician Practice Socioeconomic Status on the Health Care of Privately Insured Managed Care Patients

    Peter Franks, Kevin Fiscella et al.•Medical Care•2003

  • Effect of Patient Socioeconomic Status on Physician Profiles for Prevention, Disease Management, and Diagnostic Testing Costs

    Peter Franks, Kevin Fiscella•Medical Care•2002

  • Passive Monitoring Versus Active Assessment of Clinical Performance

    Sylvia J Hysong, Myrna M Khan et al.•Medical Care•2011

  • Mammography screening

    Nicole Urban, Garnet L Anderson et al.•American Journal of Public Health•1994

Unique citing works4
Citations per year0,17
Citation span2002 - 2011 (10)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4
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