Assessing clinical discharge data preferences among practicing surgeons
Abstract Background It is believed that many postoperative patient readmissions can be curbed via optimization of a patient's discharge from hospital, but little is known about how surgeons make the decision to discharge a patient. This study explored the criteria that surgeons preferentially v...
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Veröffentlicht in: | The Journal of surgical research 2013-09, Vol.184 (1), p.42-48.e3 |
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creator | Leeds, Ira L., MBA Sadiraj, Vjollca, PhD Cox, James C., PhD Schnier, Kurt E., PhD, MA Sweeney, John F., MD, FACS |
description | Abstract Background It is believed that many postoperative patient readmissions can be curbed via optimization of a patient's discharge from hospital, but little is known about how surgeons make the decision to discharge a patient. This study explored the criteria that surgeons preferentially value in their discharge decision-making process. Materials and methods All surgical faculty and residents at a U.S. academic medical center were surveyed about the relative importance of specific criteria regularly used to make a discharge decision. Demographic and professional information was collected about each surgeon as well. A Kruskal–Wallis and Fisher's exact test were used to describe one-way analysis of variance between groupings of surgeons. Ordered logit regressions were used to analyze variations across multiple subgroups. Factor analysis was used to further characterize statistically relevant groupings of criteria. Results In total, 88 (49%) of the invited surgeons responded to the survey. Respondents reported statistically less reliance on common Laboratory tests and Patient demographics when making discharge decisions preferring Vital signs, Perioperative factors, and Functional criteria. Surgeon-specific factors that influenced discharge criteria preferences included years of clinical education and gender. Factor analysis further identified subtle variations in preferences for specific criteria groupings based on clinical education, gender, and race. Conclusions Surgeons use a wide range of clinical data when making discharge decisions. Typical measures of patient condition also appear to be used heterogeneously with a preference for binary rather than continuous measures. Further understanding the nature of these preferences may suggest novel ways of presenting discharge-relevant information to clinical decision makers to optimize discharge outcomes. |
doi_str_mv | 10.1016/j.jss.2013.03.064 |
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This study explored the criteria that surgeons preferentially value in their discharge decision-making process. Materials and methods All surgical faculty and residents at a U.S. academic medical center were surveyed about the relative importance of specific criteria regularly used to make a discharge decision. Demographic and professional information was collected about each surgeon as well. A Kruskal–Wallis and Fisher's exact test were used to describe one-way analysis of variance between groupings of surgeons. Ordered logit regressions were used to analyze variations across multiple subgroups. Factor analysis was used to further characterize statistically relevant groupings of criteria. Results In total, 88 (49%) of the invited surgeons responded to the survey. Respondents reported statistically less reliance on common Laboratory tests and Patient demographics when making discharge decisions preferring Vital signs, Perioperative factors, and Functional criteria. Surgeon-specific factors that influenced discharge criteria preferences included years of clinical education and gender. Factor analysis further identified subtle variations in preferences for specific criteria groupings based on clinical education, gender, and race. Conclusions Surgeons use a wide range of clinical data when making discharge decisions. Typical measures of patient condition also appear to be used heterogeneously with a preference for binary rather than continuous measures. Further understanding the nature of these preferences may suggest novel ways of presenting discharge-relevant information to clinical decision makers to optimize discharge outcomes.</description><identifier>ISSN: 0022-4804</identifier><identifier>EISSN: 1095-8673</identifier><identifier>DOI: 10.1016/j.jss.2013.03.064</identifier><identifier>PMID: 23706559</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Academic Medical Centers ; Adult ; Attitude of Health Personnel ; Clinical decision-making ; Decision Making ; Decision support ; Decision Support Techniques ; Discharge ; Female ; General Surgery ; Health Care Surveys ; Hospital readmission ; Humans ; Logistic Models ; Male ; Medical Staff, Hospital - psychology ; Ordered logit regression ; Patient Discharge - standards ; Patient Discharge - statistics & numerical data ; Patient Readmission - standards ; Patient Readmission - statistics & numerical data ; Physicians - psychology ; Risk Factors ; Surgery ; Surgical outcomes</subject><ispartof>The Journal of surgical research, 2013-09, Vol.184 (1), p.42-48.e3</ispartof><rights>Elsevier Inc.</rights><rights>2013 Elsevier Inc.</rights><rights>Copyright © 2013 Elsevier Inc. All rights reserved.</rights><rights>2013 Elsevier Inc. All rights reserved. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c506t-9f117b4dc822e1d96e6d300f5327025947fdc99e739d29bfda02ee74178df2a83</citedby><cites>FETCH-LOGICAL-c506t-9f117b4dc822e1d96e6d300f5327025947fdc99e739d29bfda02ee74178df2a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jss.2013.03.064$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23706559$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Leeds, Ira L., MBA</creatorcontrib><creatorcontrib>Sadiraj, Vjollca, PhD</creatorcontrib><creatorcontrib>Cox, James C., PhD</creatorcontrib><creatorcontrib>Schnier, Kurt E., PhD, MA</creatorcontrib><creatorcontrib>Sweeney, John F., MD, FACS</creatorcontrib><title>Assessing clinical discharge data preferences among practicing surgeons</title><title>The Journal of surgical research</title><addtitle>J Surg Res</addtitle><description>Abstract Background It is believed that many postoperative patient readmissions can be curbed via optimization of a patient's discharge from hospital, but little is known about how surgeons make the decision to discharge a patient. This study explored the criteria that surgeons preferentially value in their discharge decision-making process. Materials and methods All surgical faculty and residents at a U.S. academic medical center were surveyed about the relative importance of specific criteria regularly used to make a discharge decision. Demographic and professional information was collected about each surgeon as well. A Kruskal–Wallis and Fisher's exact test were used to describe one-way analysis of variance between groupings of surgeons. Ordered logit regressions were used to analyze variations across multiple subgroups. Factor analysis was used to further characterize statistically relevant groupings of criteria. Results In total, 88 (49%) of the invited surgeons responded to the survey. Respondents reported statistically less reliance on common Laboratory tests and Patient demographics when making discharge decisions preferring Vital signs, Perioperative factors, and Functional criteria. Surgeon-specific factors that influenced discharge criteria preferences included years of clinical education and gender. Factor analysis further identified subtle variations in preferences for specific criteria groupings based on clinical education, gender, and race. Conclusions Surgeons use a wide range of clinical data when making discharge decisions. Typical measures of patient condition also appear to be used heterogeneously with a preference for binary rather than continuous measures. Further understanding the nature of these preferences may suggest novel ways of presenting discharge-relevant information to clinical decision makers to optimize discharge outcomes.</description><subject>Academic Medical Centers</subject><subject>Adult</subject><subject>Attitude of Health Personnel</subject><subject>Clinical decision-making</subject><subject>Decision Making</subject><subject>Decision support</subject><subject>Decision Support Techniques</subject><subject>Discharge</subject><subject>Female</subject><subject>General Surgery</subject><subject>Health Care Surveys</subject><subject>Hospital readmission</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical Staff, Hospital - psychology</subject><subject>Ordered logit regression</subject><subject>Patient Discharge - standards</subject><subject>Patient Discharge - statistics & numerical data</subject><subject>Patient Readmission - standards</subject><subject>Patient Readmission - statistics & numerical data</subject><subject>Physicians - psychology</subject><subject>Risk Factors</subject><subject>Surgery</subject><subject>Surgical outcomes</subject><issn>0022-4804</issn><issn>1095-8673</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9Uk1r3DAQFaWl2ab9Ab0UH3vxZvRhyaIQCKFNA4Ee2p6FVhpv5HrtrcYbyL-PzCah7aEwMAx670l6bxh7z2HNgeuzft0TrQVwuYZSWr1gKw62qVtt5Eu2AhCiVi2oE_aGqIcyWyNfsxMhDeimsSt2dUGERGncVmFIYwp-qGKicOvzFqvoZ1_tM3aYcQxIld9NBbnPPswpLCQ6FNw00lv2qvMD4bvHfsp-fvn84_JrffPt6vry4qYODei5th3nZqNiaIVAHq1GHSVA10hhQDRWmS4Ga9FIG4XddNGDQDSKmzZ2wrfylJ0fdfeHzQ5jwHHOfnD7nHY-37vJJ_f3yZhu3Xa6c9I0rZK8CHx8FMjT7wPS7HbluzgMfsTpQI4rYbUCzWWB8iM05ImouPB8DQe3BOB6VwJwSwAOSmlVOB_-fN8z48nxAvh0BGBx6S5hdhTSYm5MGcPs4pT-K3_-D_sptV94j9RPhzwW-x13JBy478sGLAvAi8milUY-AIJTrL4</recordid><startdate>20130901</startdate><enddate>20130901</enddate><creator>Leeds, Ira L., MBA</creator><creator>Sadiraj, Vjollca, PhD</creator><creator>Cox, James C., PhD</creator><creator>Schnier, Kurt E., PhD, MA</creator><creator>Sweeney, John F., MD, FACS</creator><general>Elsevier Inc</general><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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20130901</creationdate><title>Assessing clinical discharge data preferences among practicing surgeons</title><author>Leeds, Ira L., MBA ; Sadiraj, Vjollca, PhD ; Cox, James C., PhD ; Schnier, Kurt E., PhD, MA ; Sweeney, John F., MD, FACS</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-9f117b4dc822e1d96e6d300f5327025947fdc99e739d29bfda02ee74178df2a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Academic Medical Centers</topic><topic>Adult</topic><topic>Attitude of Health Personnel</topic><topic>Clinical decision-making</topic><topic>Decision Making</topic><topic>Decision support</topic><topic>Decision Support Techniques</topic><topic>Discharge</topic><topic>Female</topic><topic>General Surgery</topic><topic>Health Care Surveys</topic><topic>Hospital readmission</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical Staff, Hospital - psychology</topic><topic>Ordered logit regression</topic><topic>Patient Discharge - standards</topic><topic>Patient Discharge - statistics & numerical data</topic><topic>Patient Readmission - standards</topic><topic>Patient Readmission - statistics & numerical data</topic><topic>Physicians - psychology</topic><topic>Risk Factors</topic><topic>Surgery</topic><topic>Surgical outcomes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leeds, Ira L., MBA</creatorcontrib><creatorcontrib>Sadiraj, Vjollca, PhD</creatorcontrib><creatorcontrib>Cox, James C., PhD</creatorcontrib><creatorcontrib>Schnier, Kurt E., PhD, MA</creatorcontrib><creatorcontrib>Sweeney, John F., MD, FACS</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of surgical research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leeds, Ira L., MBA</au><au>Sadiraj, Vjollca, PhD</au><au>Cox, James C., PhD</au><au>Schnier, Kurt E., PhD, MA</au><au>Sweeney, John F., MD, FACS</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing clinical discharge data preferences among practicing surgeons</atitle><jtitle>The Journal of surgical research</jtitle><addtitle>J Surg Res</addtitle><date>2013-09-01</date><risdate>2013</risdate><volume>184</volume><issue>1</issue><spage>42</spage><epage>48.e3</epage><pages>42-48.e3</pages><issn>0022-4804</issn><eissn>1095-8673</eissn><abstract>Abstract Background It is believed that many postoperative patient readmissions can be curbed via optimization of a patient's discharge from hospital, but little is known about how surgeons make the decision to discharge a patient. This study explored the criteria that surgeons preferentially value in their discharge decision-making process. Materials and methods All surgical faculty and residents at a U.S. academic medical center were surveyed about the relative importance of specific criteria regularly used to make a discharge decision. Demographic and professional information was collected about each surgeon as well. A Kruskal–Wallis and Fisher's exact test were used to describe one-way analysis of variance between groupings of surgeons. Ordered logit regressions were used to analyze variations across multiple subgroups. Factor analysis was used to further characterize statistically relevant groupings of criteria. Results In total, 88 (49%) of the invited surgeons responded to the survey. Respondents reported statistically less reliance on common Laboratory tests and Patient demographics when making discharge decisions preferring Vital signs, Perioperative factors, and Functional criteria. Surgeon-specific factors that influenced discharge criteria preferences included years of clinical education and gender. Factor analysis further identified subtle variations in preferences for specific criteria groupings based on clinical education, gender, and race. Conclusions Surgeons use a wide range of clinical data when making discharge decisions. Typical measures of patient condition also appear to be used heterogeneously with a preference for binary rather than continuous measures. Further understanding the nature of these preferences may suggest novel ways of presenting discharge-relevant information to clinical decision makers to optimize discharge outcomes.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>23706559</pmid><doi>10.1016/j.jss.2013.03.064</doi><oa>free_for_read</oa></addata></record> |
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subjects | Academic Medical Centers Adult Attitude of Health Personnel Clinical decision-making Decision Making Decision support Decision Support Techniques Discharge Female General Surgery Health Care Surveys Hospital readmission Humans Logistic Models Male Medical Staff, Hospital - psychology Ordered logit regression Patient Discharge - standards Patient Discharge - statistics & numerical data Patient Readmission - standards Patient Readmission - statistics & numerical data Physicians - psychology Risk Factors Surgery Surgical outcomes |
title | Assessing clinical discharge data preferences among practicing surgeons |
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