{"id":4783,"date":"2018-10-12T00:00:00","date_gmt":"2018-10-12T04:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/physician-characteristics-associated-with-ordering-4-low-value-screening-tests-in-primary-care\/"},"modified":"2023-06-14T20:10:56","modified_gmt":"2023-06-15T00:10:56","slug":"physician-characteristics-associated-with-ordering-4-low-value-screening-tests-in-primary-care","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/physician-characteristics-associated-with-ordering-4-low-value-screening-tests-in-primary-care\/","title":{"rendered":"Physician characteristics associated with ordering 4 low-value screening tests in primary care"},"content":{"rendered":"<p><strong>Importance<\/strong> &#x2014; Efforts to reduce low-value tests and treatments in primary care are often ineffective. These efforts typically target physicians broadly, most of whom order low-value care infrequently.<\/p>\n<p><strong>Objectives<\/strong> &#x2014; To measure physician-level use rates across 4 low-value screening tests in primary care to investigate the presence and characteristics of primary care physicians who frequently order low-value care.<\/p>\n<p><span class=\"bold\">Design, Setting, and Participants<\/span> &#x2014; A retrospective cohort study was conducted using administrative healthcare claims collected between April 1, 2012, and March 31, 2016, in Ontario, Canada. This study measured use of 4 low-value screening tests&#x2014;repeated dual-energy x-ray absorptiometry (DXA) scans, electrocardiograms (ECGs), Papanicolaou (Pap) tests, and chest radiographs (CXRs)&#x2014;among low-risk outpatients rostered to a common cohort of primary care physicians.<\/p>\n<p><strong>Exposures<\/strong> &#x2014; Physician sex, years since medical school graduation, and primary care model.<\/p>\n<p><span class=\"bold\">Main Outcomes and Measures<\/span> &#x2014; This study measured the number of tests to which a given physician ranked in the top quintile by ordering rate. The resulting cross-test score (range, 0-4) reflects a physician&#x2019;s propensity to order low-value care across screening tests. Physicians were then dichotomized into infrequent or isolated frequent users (score, 0 or 1, respectively) or generalized frequent users for 2 or more tests (score, &#x2265;2).<\/p>\n<p><strong>Results<\/strong> &#x2014; The final sample consisted of 2394 primary care physicians (mean [SD] age, 51.3 [10.0] years; 50.2% female), who were predominantly Canadian medical school graduates (1701 [71.1%]), far removed from medical school graduation (median, 25.3 years; interquartile range, 17.3-32.3 years), and reimbursed via fee-for-service in a family health group (1130 [47.2%]). They ordered 302 509 low-value screening tests (74 167 DXA scans, 179 855 ECGs, 19 906 Pap tests, and 28 581 CXRs) after 3 428 557 ordering opportunities. Within the cohort, generalized frequent users represented 18.4% (441 of 2394) of physicians but ordered 39.2%(118 665 of 302 509) of all low-value screening tests. Physicians who were male (odds ratio, 1.29; 95% CI, 1.01-1.64), further removed from medical school graduation (odds ratio, 1.03; 95% CI, 1.02-1.04), or in an enhanced fee-for-service payment model (family health group) vs a capitated payment model (family health team) (odds ratio, 2.04; 95% CI, 1.42-2.94) had increased odds of being generalized frequent users.<\/p>\n<p><span class=\"bold\">Conclusions and Relevance<\/span> &#x2014; This study identified a group of primary care physicians who frequently ordered low-value screening tests. Tailoring future interventions to these generalized frequent users might be an effective approach to reducing low-value care.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Importance &#x2014; Efforts to reduce low-value tests and treatments in primary care are often ineffective. These efforts typically target physicians broadly, most of whom order low-value care infrequently. Objectives &#x2014; To measure physician-level use rates across 4 low-value screening tests in primary care to investigate the presence and characteristics of primary care physicians who frequently [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[],"migration-helper-qa-sample-set":[],"class_list":["post-4783","journal_article","type-journal_article","status-publish","hentry"],"acf":{"citation":"Bouck Z, Ferguson J, Ivers NM, Kerr EA, Shojania KG, Kim M, Cram P, Pendrith C, Mecredy GC, Glazier RH, Tepper J, Austin PC, Martin D, Levinson W, Bhatia RS. <em>JAMA Netw Open<\/em>. 2018; 1(6):e183506. Epub 2018 Oct 12.","source_url":"","ices_scientist":[1178,1250,1273,1309,1385,1187],"site":[6733],"research_program":[],"news_release":[7933],"journal_article":[],"atlas":[],"research_report":[],"infographic":[],"video":[],"downloads":null,"links":null,"sitecore_item_id":"ABA80E17-A038-40F0-8FDA-EFB180FB3C1D","sitecore_item_name":"Physician-characteristics-associated-with-ordering-4-low-value-screening-tests-in-primary-care","sitecore_field_values":"{\n  \"__Valid from\": \"20181012T114155\",\n  \"Title\": \"Physician characteristics associated with ordering 4 low-value screening tests in primary care\",\n  \"Short title\": \"Physician characteristics associated\",\n  \"Summary\": \"This study identified a group of primary care physicians who frequently ordered low-value screening tests.\",\n  \"Citation\": \"<p>Bouck Z, Ferguson J, Ivers NM, Kerr EA, Shojania KG, Kim M, Cram P, Pendrith C, Mecredy GC, Glazier RH, Tepper J, Austin PC, Martin D, Levinson W, Bhatia RS. <em>JAMA Netw Open<\/em>. 2018; 1(6):e183506. Epub 2018 Oct 12.<\/p>\",\n  \"Abstract\": \"<p><strong>Importance<\/strong> &mdash; Efforts to reduce low-value tests and treatments in primary care are often ineffective. These efforts typically target physicians broadly, most of whom order low-value care infrequently.<\/p>n<p><strong>Objectives<\/strong> &mdash; To measure physician-level use rates across 4 low-value screening tests in primary care to investigate the presence and characteristics of primary care physicians who frequently order low-value care.<\/p>n<p><span class=\"bold\">Design, Setting, and Participants<\/span> &mdash; A retrospective cohort study was conducted using administrative healthcare claims collected between April 1, 2012, and March 31, 2016, in Ontario, Canada. This study measured use of 4 low-value screening tests&mdash;repeated dual-energy x-ray absorptiometry (DXA) scans, electrocardiograms (ECGs), Papanicolaou (Pap) tests, and chest radiographs (CXRs)&mdash;among low-risk outpatients rostered to a common cohort of primary care physicians.<\/p>n<p><strong>Exposures<\/strong> &mdash; Physician sex, years since medical school graduation, and primary care model.<\/p>n<p><span class=\"bold\">Main Outcomes and Measures<\/span> &mdash; This study measured the number of tests to which a given physician ranked in the top quintile by ordering rate. The resulting cross-test score (range, 0-4) reflects a physician&rsquo;s propensity to order low-value care across screening tests. Physicians were then dichotomized into infrequent or isolated frequent users (score, 0 or 1, respectively) or generalized frequent users for 2 or more tests (score, &ge;2).<\/p>n<p><strong>Results<\/strong> &mdash; The final sample consisted of 2394 primary care physicians (mean [SD] age, 51.3 [10.0] years; 50.2% female), who were predominantly Canadian medical school graduates (1701 [71.1%]), far removed from medical school graduation (median, 25.3 years; interquartile range, 17.3-32.3 years), and reimbursed via fee-for-service in a family health group (1130 [47.2%]). They ordered 302 509 low-value screening tests (74 167 DXA scans, 179 855 ECGs, 19 906 Pap tests, and 28 581 CXRs) after 3 428 557 ordering opportunities. Within the cohort, generalized frequent users represented 18.4% (441 of 2394) of physicians but ordered 39.2%(118 665 of 302 509) of all low-value screening tests. Physicians who were male (odds ratio, 1.29; 95% CI, 1.01-1.64), further removed from medical school graduation (odds ratio, 1.03; 95% CI, 1.02-1.04), or in an enhanced fee-for-service payment model (family health group) vs a capitated payment model (family health team) (odds ratio, 2.04; 95% CI, 1.42-2.94) had increased odds of being generalized frequent users.<\/p>n<p><span class=\"bold\">Conclusions and Relevance<\/span> &mdash; This study identified a group of primary care physicians who frequently ordered low-value screening tests. Tailoring future interventions to these generalized frequent users might be an effective approach to reducing low-value care.<\/p>\",\n  \"Research Programs\": \"{5B1AF319-EC9B-4BF0-A9CD-D066ABE49D71}\",\n  \"ICES Locations\": \"{4FCAABBA-14A5-42E6-8F33-BC6C2F1D9908}\",\n  \"ICES Scientists\": \"{67B2B752-66EB-4DB5-BA52-C1EE07E1D50B}|{2C81C93C-B401-432B-8741-83841744D4CA}|{29F97D77-F0C4-42C0-8C0B-7297FF488CC8}|{EA4DEC64-AACD-488F-8BC7-4D9A8CBAF75C}|{7D498E8B-5801-4F9E-AC41-11ED50F3C34E}|{4DDEBA66-6CEA-43A8-83C3-6D1BDA5E9573}\",\n  \"Posted Date\": \"20181012T000000\",\n  \"Show on Publications Landing Page\": \"1\",\n  \"In The News\": \"{C8301714-6F99-4E6A-B3A9-19BE9FF61BA7}\"\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2018\/October\/Physician-characteristics-associated-with-ordering-4-low-value-screening-tests-in-primary-care"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | Physician characteristics associated with ordering 4 low-value screening tests in primary care<\/title>\n<meta name=\"description\" content=\"Importance &#x2014; Efforts to reduce low-value tests and treatments in primary care are often ineffective. 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