Show simple item record

dc.contributor.authorSaver, Barry G.
dc.contributor.authorTaylor, Thomas R.
dc.contributor.authorTreadwell, Jonathan R.
dc.contributor.authorCole, William G.
dc.date2022-08-11T08:09:23.000
dc.date.accessioned2022-08-23T16:29:05Z
dc.date.available2022-08-23T16:29:05Z
dc.date.issued1997-11-01
dc.date.submitted2012-08-17
dc.identifier.citation<p>Arch Fam Med. 1997 Nov-Dec;6(6):543-8.</p>
dc.identifier.issn1063-3987 (Linking)
dc.identifier.pmid9371047
dc.identifier.urihttp://hdl.handle.net/20.500.14038/37163
dc.description<p>At the time of publication, Barry Saver was not yet affiliated with the University of Massachusetts Medical School.</p>
dc.description.abstractOBJECTIVE: To assess the utility of survey-based physician policy in predicting actual mammography ordering behavior, as measured by medical record abstraction. DESIGN: Cross-sectional survey of practicing community physicians. Responses were correlated with data abstracted from the medical records of patients in the practices of the participating physicians. PARTICIPANTS: Family and general practitioners in Washington State. Medical records of female patients aged 40 to 80 years provided data on actual mammography performance. MAIN OUTCOME MEASURES: The proportions of female patients aged 40 to 49 and 50 to 80 years who had received a screening mammogram within the previous 2 years. RESULTS: Of the more than 100 potential predictors available, only 4 were significantly associated with screening rates for women younger than 50 years and only 3 were associated with screening rates for older women. Regression models explained only 21% to 25% of the variance in screening rates. Physician estimates of screening rates were poorly correlated with actual screening rates. CONCLUSIONS: Practicing physicians do not know how well they screen their patients using mammography. Extensive survey data, including direct estimates of behavior, demographics, policy measures, and case scenario responses, were of limited use in predicting actual screening rates. Our results underscore the importance of using data rather than proxy measures to study physician performance.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=9371047&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights<p>The <em>AFM</em> content is copyright American Medical Association (AMA) and licensed under a <a href="http://creativecommons.org/licenses/by-nc-nd/3.0/" title="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License</a> according to http://www.clockss.org/clockss/Archives_of_Family_Medicine.</p>
dc.subjectAdult
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectCross-Sectional Studies
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.subjectMammography
dc.subjectMedical Records
dc.subjectMiddle Aged
dc.subjectPhysician's Practice Patterns
dc.subjectPredictive Value of Tests
dc.subjectPrescriptions
dc.subjectRegression Analysis
dc.subjectHealth Services Research
dc.subjectPrimary Care
dc.titleDo physicians do as they say? The case of mammography
dc.typeJournal Article
dc.source.journaltitleArchives of family medicine
dc.source.volume6
dc.source.issue6
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1846&amp;context=meyers_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/meyers_pp/548
dc.identifier.contextkey3229891
refterms.dateFOA2022-08-23T16:29:05Z
html.description.abstract<p>OBJECTIVE: To assess the utility of survey-based physician policy in predicting actual mammography ordering behavior, as measured by medical record abstraction.</p> <p>DESIGN: Cross-sectional survey of practicing community physicians. Responses were correlated with data abstracted from the medical records of patients in the practices of the participating physicians.</p> <p>PARTICIPANTS: Family and general practitioners in Washington State. Medical records of female patients aged 40 to 80 years provided data on actual mammography performance.</p> <p>MAIN OUTCOME MEASURES: The proportions of female patients aged 40 to 49 and 50 to 80 years who had received a screening mammogram within the previous 2 years.</p> <p>RESULTS: Of the more than 100 potential predictors available, only 4 were significantly associated with screening rates for women younger than 50 years and only 3 were associated with screening rates for older women. Regression models explained only 21% to 25% of the variance in screening rates. Physician estimates of screening rates were poorly correlated with actual screening rates.</p> <p>CONCLUSIONS: Practicing physicians do not know how well they screen their patients using mammography. Extensive survey data, including direct estimates of behavior, demographics, policy measures, and case scenario responses, were of limited use in predicting actual screening rates. Our results underscore the importance of using data rather than proxy measures to study physician performance.</p>
dc.identifier.submissionpathmeyers_pp/548
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.contributor.departmentMeyers Primary Care Institute
dc.source.pages543-8


Files in this item

Thumbnail
Name:
saver_do_physicians_do_as_they ...
Size:
9.106Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record