Is Call Karma Real? Resident After-Hours On-Call Imaging at the University of Saskatchewan: An Assessment of Call Volumes Including Inter-Resident Variability
Purpose: Quantify resident caseload during call and determine if there are consistent differences in call volumes for individuals or resident subgroups. Methods: Accession codes for after-hours computed tomography (CT) cases dictated by residents between July 1, 2012 and January 9, 2017 were reviewe...
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Veröffentlicht in: | Canadian Association of Radiologists journal 2022-02, Vol.73 (1), p.38-48 |
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description | Purpose:
Quantify resident caseload during call and determine if there are consistent differences in call volumes for individuals or resident subgroups.
Methods:
Accession codes for after-hours computed tomography (CT) cases dictated by residents between July 1, 2012 and January 9, 2017 were reviewed. Case volumes by patient visits and body regions scanned were determined and categorized according to time period, year, and individual resident. Mean shift Relative Value Units (RVUs) were calculated by year. Descriptive statistics, linear mixed modeling, and linear regression determined mean values, differences between residents, associations between independent variables and outcomes, and changes over time. Consistent differences between residents were assessed as a measure of good or bad luck / karma on call.
Results:
During this time there were 23,032 patients and 30,766 anatomic regions scanned during 1,652 call shifts among 32 residents. Over the whole period, there were on average 10.6 patients and 14.3 body regions scanned on weekday shifts and 22.3 patients and 29.4 body regions scanned during weekend shifts. Annually, the mean number of patients, body regions, and RVUs scanned per shift increased by an average of 0.2 (1%), 0.4 (2%), and 1.2 (5%) (all p < 0.05) respectively in regression models. There was variability in call experiences, but only 1 resident had a disproportionate number of higher volume calls and fewer lower volume shifts than expected.
Conclusions:
Annual increases in scan volumes were modest. Although residents’ experiences varied, little of this was attributable to consistent personal differences, including luck or call karma. |
doi_str_mv | 10.1177/08465371211026310 |
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Quantify resident caseload during call and determine if there are consistent differences in call volumes for individuals or resident subgroups.
Methods:
Accession codes for after-hours computed tomography (CT) cases dictated by residents between July 1, 2012 and January 9, 2017 were reviewed. Case volumes by patient visits and body regions scanned were determined and categorized according to time period, year, and individual resident. Mean shift Relative Value Units (RVUs) were calculated by year. Descriptive statistics, linear mixed modeling, and linear regression determined mean values, differences between residents, associations between independent variables and outcomes, and changes over time. Consistent differences between residents were assessed as a measure of good or bad luck / karma on call.
Results:
During this time there were 23,032 patients and 30,766 anatomic regions scanned during 1,652 call shifts among 32 residents. Over the whole period, there were on average 10.6 patients and 14.3 body regions scanned on weekday shifts and 22.3 patients and 29.4 body regions scanned during weekend shifts. Annually, the mean number of patients, body regions, and RVUs scanned per shift increased by an average of 0.2 (1%), 0.4 (2%), and 1.2 (5%) (all p < 0.05) respectively in regression models. There was variability in call experiences, but only 1 resident had a disproportionate number of higher volume calls and fewer lower volume shifts than expected.
Conclusions:
Annual increases in scan volumes were modest. Although residents’ experiences varied, little of this was attributable to consistent personal differences, including luck or call karma.</description><identifier>ISSN: 0846-5371</identifier><identifier>EISSN: 1488-2361</identifier><identifier>DOI: 10.1177/08465371211026310</identifier><identifier>PMID: 34227429</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>After-Hours Care - statistics & numerical data ; Canada ; Computed tomography ; Humans ; Independent variables ; Internship and Residency - statistics & numerical data ; Mean ; Medical diagnosis ; Regression analysis ; Regression models ; Subgroups ; Tomography, X-Ray Computed - statistics & numerical data ; Variability ; Workload - statistics & numerical data</subject><ispartof>Canadian Association of Radiologists journal, 2022-02, Vol.73 (1), p.38-48</ispartof><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-5c0af5ba2e4283e13976429327d7b0d07bbf0570059cf9e12fcbd75eba0a273</citedby><cites>FETCH-LOGICAL-c411t-5c0af5ba2e4283e13976429327d7b0d07bbf0570059cf9e12fcbd75eba0a273</cites><orcidid>0000-0003-1621-8488</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/08465371211026310$$EPDF$$P50$$Gsage$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/08465371211026310$$EHTML$$P50$$Gsage$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34227429$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huynh, James</creatorcontrib><creatorcontrib>Horne, David</creatorcontrib><creatorcontrib>Bryce, Rhonda</creatorcontrib><creatorcontrib>Leswick, David A</creatorcontrib><title>Is Call Karma Real? Resident After-Hours On-Call Imaging at the University of Saskatchewan: An Assessment of Call Volumes Including Inter-Resident Variability</title><title>Canadian Association of Radiologists journal</title><addtitle>Can Assoc Radiol J</addtitle><description>Purpose:
Quantify resident caseload during call and determine if there are consistent differences in call volumes for individuals or resident subgroups.
Methods:
Accession codes for after-hours computed tomography (CT) cases dictated by residents between July 1, 2012 and January 9, 2017 were reviewed. Case volumes by patient visits and body regions scanned were determined and categorized according to time period, year, and individual resident. Mean shift Relative Value Units (RVUs) were calculated by year. Descriptive statistics, linear mixed modeling, and linear regression determined mean values, differences between residents, associations between independent variables and outcomes, and changes over time. Consistent differences between residents were assessed as a measure of good or bad luck / karma on call.
Results:
During this time there were 23,032 patients and 30,766 anatomic regions scanned during 1,652 call shifts among 32 residents. Over the whole period, there were on average 10.6 patients and 14.3 body regions scanned on weekday shifts and 22.3 patients and 29.4 body regions scanned during weekend shifts. Annually, the mean number of patients, body regions, and RVUs scanned per shift increased by an average of 0.2 (1%), 0.4 (2%), and 1.2 (5%) (all p < 0.05) respectively in regression models. There was variability in call experiences, but only 1 resident had a disproportionate number of higher volume calls and fewer lower volume shifts than expected.
Conclusions:
Annual increases in scan volumes were modest. Although residents’ experiences varied, little of this was attributable to consistent personal differences, including luck or call karma.</description><subject>After-Hours Care - statistics & numerical data</subject><subject>Canada</subject><subject>Computed tomography</subject><subject>Humans</subject><subject>Independent variables</subject><subject>Internship and Residency - statistics & numerical data</subject><subject>Mean</subject><subject>Medical diagnosis</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Subgroups</subject><subject>Tomography, X-Ray Computed - statistics & numerical data</subject><subject>Variability</subject><subject>Workload - statistics & numerical data</subject><issn>0846-5371</issn><issn>1488-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>EIF</sourceid><recordid>eNp1kctu1TAQhi1ERQ-FB2CDLLFhk9a3xAkbdHQENGqlShS6jSbJ5DTFcYonAfVleFacnl6kIjb2Yr75ZuyfsTdSHEpp7ZHITZZqK5WUQmVaimdsJU2eJ0pn8jlbLfVkAfbZS6IrIYTRtnjB9rVRyhpVrNifkvgGnOMnEAbgXxHcx3hS36Kf-LqbMCTH4xyIn_nkFiwH2PZ-y2Hi0yXy777_hYH66YaPHT8H-gFTc4m_wX_ga8_XREg0LLJYvhVcjG4ekHjpGze3i6r0y5iHqRcQeqh7F52v2F4HjvD13X3Azj9_-rY5Tk7PvpSb9WnSGCmnJG0EdGkNCo3KNUpd2Cw-Tyvb2lq0wtZ1J1IrRFo0XYFSdU3d2hRrEKCsPmDvd9brMP6ckaZq6KlB58DjOFOlUpMXIkttGtF3T9Cr-Ds-7lapTMm8MFZkkZI7qgkjUcCuug79AOGmkqJaoqv-iS72vL0zz_WA7UPHfVYRONwBBFt8HPt_419BnKDQ</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Huynh, James</creator><creator>Horne, David</creator><creator>Bryce, Rhonda</creator><creator>Leswick, David A</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AFRWT</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>L7M</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1621-8488</orcidid></search><sort><creationdate>202202</creationdate><title>Is Call Karma Real? Resident After-Hours On-Call Imaging at the University of Saskatchewan: An Assessment of Call Volumes Including Inter-Resident Variability</title><author>Huynh, James ; Horne, David ; Bryce, Rhonda ; Leswick, David A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-5c0af5ba2e4283e13976429327d7b0d07bbf0570059cf9e12fcbd75eba0a273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>After-Hours Care - statistics & numerical data</topic><topic>Canada</topic><topic>Computed tomography</topic><topic>Humans</topic><topic>Independent variables</topic><topic>Internship and Residency - statistics & numerical data</topic><topic>Mean</topic><topic>Medical diagnosis</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Subgroups</topic><topic>Tomography, X-Ray Computed - statistics & numerical data</topic><topic>Variability</topic><topic>Workload - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huynh, James</creatorcontrib><creatorcontrib>Horne, David</creatorcontrib><creatorcontrib>Bryce, Rhonda</creatorcontrib><creatorcontrib>Leswick, David A</creatorcontrib><collection>SAGE Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Canadian Association of Radiologists journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huynh, James</au><au>Horne, David</au><au>Bryce, Rhonda</au><au>Leswick, David A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Is Call Karma Real? Resident After-Hours On-Call Imaging at the University of Saskatchewan: An Assessment of Call Volumes Including Inter-Resident Variability</atitle><jtitle>Canadian Association of Radiologists journal</jtitle><addtitle>Can Assoc Radiol J</addtitle><date>2022-02</date><risdate>2022</risdate><volume>73</volume><issue>1</issue><spage>38</spage><epage>48</epage><pages>38-48</pages><issn>0846-5371</issn><eissn>1488-2361</eissn><abstract>Purpose:
Quantify resident caseload during call and determine if there are consistent differences in call volumes for individuals or resident subgroups.
Methods:
Accession codes for after-hours computed tomography (CT) cases dictated by residents between July 1, 2012 and January 9, 2017 were reviewed. Case volumes by patient visits and body regions scanned were determined and categorized according to time period, year, and individual resident. Mean shift Relative Value Units (RVUs) were calculated by year. Descriptive statistics, linear mixed modeling, and linear regression determined mean values, differences between residents, associations between independent variables and outcomes, and changes over time. Consistent differences between residents were assessed as a measure of good or bad luck / karma on call.
Results:
During this time there were 23,032 patients and 30,766 anatomic regions scanned during 1,652 call shifts among 32 residents. Over the whole period, there were on average 10.6 patients and 14.3 body regions scanned on weekday shifts and 22.3 patients and 29.4 body regions scanned during weekend shifts. Annually, the mean number of patients, body regions, and RVUs scanned per shift increased by an average of 0.2 (1%), 0.4 (2%), and 1.2 (5%) (all p < 0.05) respectively in regression models. There was variability in call experiences, but only 1 resident had a disproportionate number of higher volume calls and fewer lower volume shifts than expected.
Conclusions:
Annual increases in scan volumes were modest. Although residents’ experiences varied, little of this was attributable to consistent personal differences, including luck or call karma.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>34227429</pmid><doi>10.1177/08465371211026310</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1621-8488</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | After-Hours Care - statistics & numerical data Canada Computed tomography Humans Independent variables Internship and Residency - statistics & numerical data Mean Medical diagnosis Regression analysis Regression models Subgroups Tomography, X-Ray Computed - statistics & numerical data Variability Workload - statistics & numerical data |
title | Is Call Karma Real? Resident After-Hours On-Call Imaging at the University of Saskatchewan: An Assessment of Call Volumes Including Inter-Resident Variability |
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