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Characteristics of primary care physicians and their practices associated with mammography rates for older women Barbara Threatt, M.D., was a consultant regarding mammography practice and physician's interactions with older women.

dc.contributor.authorVan Harrison, R.en_US
dc.contributor.authorJanz, Nancy K.en_US
dc.contributor.authorWolfe, Robert A.en_US
dc.contributor.authorTedeschi, Philip J.en_US
dc.contributor.authorStross, Jeoffrey K.en_US
dc.contributor.authorHuang, Xuelinen_US
dc.contributor.authorMcMahon, Laurence F.en_US
dc.date.accessioned2006-04-19T13:31:46Z
dc.date.available2006-04-19T13:31:46Z
dc.date.issued2003-11-01en_US
dc.identifier.citationVan Harrison, R.; Janz, Nancy K.; Wolfe, Robert A.; Tedeschi, Philip J.; Stross, Jeoffrey K.; Huang, Xuelin; McMahon, Laurence F. (2003)."Characteristics of primary care physicians and their practices associated with mammography rates for older women Barbara Threatt, M.D., was a consultant regarding mammography practice and physician's interactions with older women. ." Cancer 98(9): 1822-1829. <http://hdl.handle.net/2027.42/34382>en_US
dc.identifier.issn0008-543Xen_US
dc.identifier.issn1097-0142en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34382
dc.description.abstractBACKGROUND Mammography screening rates are below national recommendations for older women. Understanding the relation between the characteristics of primary care physicians (PCPs) and mammography rates for older women can help to target screening improvement efforts. METHODS Subjects were 2527 PCPs practicing in Michigan between 1997 and 1998. A cross-sectional design used Medicare data to identify women age 68 years or older in 1998 whom PCPs treated in 1997–1998 and to determine whether these women had a mammogram between 1996 and1998. Eligible women were Medicare beneficiaries age 65 years or older by 1996, residing in Michigan from 1996 to 1998, without specified comorbidities likely to affect decisions regarding mammography. Correlations and multiple regressions examined the relation between this score and characteristics of both PCPs and their practice populations of older women. RESULTS Mammography rates across physicians' practices ranged from 3–100% (mean = 59%, standard deviation = 17%). Five predictors accounted for 55% of the variance in mammography rates across practices. Higher mammography rates were found to be independently related to physicians who have: a lower mean age for female Medicare patients, a higher mean number of physicians billing for patients' care, a lower mean number of inpatient admissions, obstetrics/gynecology practices, and a higher mean education level in patient's zip code (beta weights ≥ 0.25, P < 0.0001). CONCLUSIONS PCPs vary substantially with regard to mammography rates for older women. Mammography rates vary more with the population of patients in physicians' practices than with commonly measured personal characteristics of physicians. Mammography rates should be adjusted for patient population to target individual PCPs with low mammography rates for interventions. Cancer 2003. © 2003 American Cancer Society.en_US
dc.format.extent236875 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherCancer Research, Oncology and Pathologyen_US
dc.titleCharacteristics of primary care physicians and their practices associated with mammography rates for older women Barbara Threatt, M.D., was a consultant regarding mammography practice and physician's interactions with older women.en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelOncology and Hematologyen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Medical Education, University of Michigan, Ann Arbor, Michigan ; Fax: (734) 936-1641 ; Department of Medical Education, University of Michigan, G-1105 Towsley Center, Ann Arbor, MI 48109-0201en_US
dc.contributor.affiliationumDepartment of Health Behavior and Health Education, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan ; Department of Health Management and Policy, University of Michigan, Ann Arbor, Michiganen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34382/1/11744_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/cncr.11744en_US
dc.identifier.sourceCanceren_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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