No Diversion in Western Massachusetts

Abstract Background Massachusetts (MA) instituted a moratorium on ambulance diversion (“No Diversion”) on January 1, 2009. Study Objectives Determine whether No Diversion was associated with changes in Emergency Department (ED) throughput measures. Design Comparison of three 3-month periods. Period...

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Veröffentlicht in:The Journal of emergency medicine 2013-02, Vol.44 (2), p.313-320
Hauptverfasser: Rathlev, Niels K., MD, Blank, Fidela, MN, MBA, Osborne, Ben, MD, Kellogg, Adam, MD, Li, Haiping, MD, Blanchet, Jacques, MD, Conway, Ray F., MD, Durkin, Louis, MD, Gerstein, Rick, MD, Strzempko, Stan, MD, Vig, Manish, MD, Santoro, John P., MD, Visintainer, Paul, PhD
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container_end_page 320
container_issue 2
container_start_page 313
container_title The Journal of emergency medicine
container_volume 44
creator Rathlev, Niels K., MD
Blank, Fidela, MN, MBA
Osborne, Ben, MD
Kellogg, Adam, MD
Li, Haiping, MD
Blanchet, Jacques, MD
Conway, Ray F., MD
Durkin, Louis, MD
Gerstein, Rick, MD
Strzempko, Stan, MD
Vig, Manish, MD
Santoro, John P., MD
Visintainer, Paul, PhD
description Abstract Background Massachusetts (MA) instituted a moratorium on ambulance diversion (“No Diversion”) on January 1, 2009. Study Objectives Determine whether No Diversion was associated with changes in Emergency Department (ED) throughput measures. Design Comparison of three 3-month periods. Period 1: 1 year prior (January–March 2008); Period 2: 3 months prior (October–December 2008); Period 3: 3 months after (January–March 2009). Setting Seven EDs in Western MA; two – including the only Level I Trauma Center – were “high” diversion (≥562 h/year) and 5 were “low” diversion (≤260 h/year). For “all,” “high” diversion and “low” diversion ED groups, we compared mean monthly throughput measures, including: 1) total volume, 2) number of admissions, 3) number of elopements, 4) length of stay for all, admitted and discharged patients. Mean absolute and percent changes were estimated using mixed-effects regression analysis. Linear mixed models were run for “all,” “high” and “low” diversion EDs comparing means of changes between periods. Results are presented as mean change per month in number and percent, and 95% confidence intervals were calculated. We specified that a clinically significant effect of No Diversion had to meet two criteria: 1) there was a consistent difference in the means for both the Period 1 vs. Period 3 comparison and the Period 2 vs. Period 3 comparison, and 2) both comparisons had to achieve statistical significance at p ≤ 0.01. Results According to pre-determined criteria, no clinically significant changes were found in any ED group in mean monthly volume, admissions, elopements, or length-of-stay for any patient disposition group. Conclusion No Diversion was not associated with significant changes in throughput measures in “all,” “high” diversion and “low” diversion EDs.
doi_str_mv 10.1016/j.jemermed.2012.06.017
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Study Objectives Determine whether No Diversion was associated with changes in Emergency Department (ED) throughput measures. Design Comparison of three 3-month periods. Period 1: 1 year prior (January–March 2008); Period 2: 3 months prior (October–December 2008); Period 3: 3 months after (January–March 2009). Setting Seven EDs in Western MA; two – including the only Level I Trauma Center – were “high” diversion (≥562 h/year) and 5 were “low” diversion (≤260 h/year). For “all,” “high” diversion and “low” diversion ED groups, we compared mean monthly throughput measures, including: 1) total volume, 2) number of admissions, 3) number of elopements, 4) length of stay for all, admitted and discharged patients. Mean absolute and percent changes were estimated using mixed-effects regression analysis. Linear mixed models were run for “all,” “high” and “low” diversion EDs comparing means of changes between periods. Results are presented as mean change per month in number and percent, and 95% confidence intervals were calculated. We specified that a clinically significant effect of No Diversion had to meet two criteria: 1) there was a consistent difference in the means for both the Period 1 vs. Period 3 comparison and the Period 2 vs. Period 3 comparison, and 2) both comparisons had to achieve statistical significance at p ≤ 0.01. Results According to pre-determined criteria, no clinically significant changes were found in any ED group in mean monthly volume, admissions, elopements, or length-of-stay for any patient disposition group. Conclusion No Diversion was not associated with significant changes in throughput measures in “all,” “high” diversion and “low” diversion EDs.</description><identifier>ISSN: 0736-4679</identifier><identifier>EISSN: 2352-5029</identifier><identifier>DOI: 10.1016/j.jemermed.2012.06.017</identifier><identifier>PMID: 22921858</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>ambulance ; Ambulances - statistics &amp; numerical data ; Bed Occupancy ; diversion ; Emergency ; Emergency Service, Hospital - utilization ; Health Policy ; Humans ; length of stay ; Length of Stay - statistics &amp; numerical data ; Linear Models ; Massachusetts ; Patient Admission - statistics &amp; numerical data ; Patient Transfer - statistics &amp; numerical data ; Retrospective Studies ; State Government ; throughput ; volume</subject><ispartof>The Journal of emergency medicine, 2013-02, Vol.44 (2), p.313-320</ispartof><rights>Elsevier Inc.</rights><rights>2013 Elsevier Inc.</rights><rights>Copyright © 2013 Elsevier Inc. 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Study Objectives Determine whether No Diversion was associated with changes in Emergency Department (ED) throughput measures. Design Comparison of three 3-month periods. Period 1: 1 year prior (January–March 2008); Period 2: 3 months prior (October–December 2008); Period 3: 3 months after (January–March 2009). Setting Seven EDs in Western MA; two – including the only Level I Trauma Center – were “high” diversion (≥562 h/year) and 5 were “low” diversion (≤260 h/year). For “all,” “high” diversion and “low” diversion ED groups, we compared mean monthly throughput measures, including: 1) total volume, 2) number of admissions, 3) number of elopements, 4) length of stay for all, admitted and discharged patients. Mean absolute and percent changes were estimated using mixed-effects regression analysis. Linear mixed models were run for “all,” “high” and “low” diversion EDs comparing means of changes between periods. Results are presented as mean change per month in number and percent, and 95% confidence intervals were calculated. We specified that a clinically significant effect of No Diversion had to meet two criteria: 1) there was a consistent difference in the means for both the Period 1 vs. Period 3 comparison and the Period 2 vs. Period 3 comparison, and 2) both comparisons had to achieve statistical significance at p ≤ 0.01. Results According to pre-determined criteria, no clinically significant changes were found in any ED group in mean monthly volume, admissions, elopements, or length-of-stay for any patient disposition group. Conclusion No Diversion was not associated with significant changes in throughput measures in “all,” “high” diversion and “low” diversion EDs.</description><subject>ambulance</subject><subject>Ambulances - statistics &amp; numerical data</subject><subject>Bed Occupancy</subject><subject>diversion</subject><subject>Emergency</subject><subject>Emergency Service, Hospital - utilization</subject><subject>Health Policy</subject><subject>Humans</subject><subject>length of stay</subject><subject>Length of Stay - statistics &amp; numerical data</subject><subject>Linear Models</subject><subject>Massachusetts</subject><subject>Patient Admission - statistics &amp; numerical data</subject><subject>Patient Transfer - statistics &amp; numerical data</subject><subject>Retrospective Studies</subject><subject>State Government</subject><subject>throughput</subject><subject>volume</subject><issn>0736-4679</issn><issn>2352-5029</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFu1DAQhi0EotuWV6j2gsQlYWacOM6loiq0IBU4UMTRcpyJcJpNWjup1Levo-1euHCag79_ZvyNEGcIOQKqj33e847DjtucACkHlQNWr8SGZElZCVS_FhuopMoKVdVH4jjGHhIBGt-KI6KaUJd6I97_mLaf_SOH6Kdx68ftH44zh3H73cZo3d8l8jzHU_Gms0Pkdy_1RPy--nJ7-TW7-Xn97fLiJnMFyTnTJaEtNBIrsFa31kHTFW1dd9LZBhvbtIpriVpRCwUBu46YwBXAtcUG5Yn4sO97H6aHJW1idj46HgY78rREg6RlJWVVyoSqPerCFGPgztwHv7PhySCYVZHpzUGRWRUZUCYJSMGzlxlLs74dYgcnCfi0Bzj99NFzMNF5Hh23PrCbTTv5_884_6eFG_zonR3u-IljPy1hTB4Nmpgy5td6qPVOSAC6lCCfAbpsjtY</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Rathlev, Niels K., MD</creator><creator>Blank, Fidela, MN, MBA</creator><creator>Osborne, Ben, MD</creator><creator>Kellogg, Adam, MD</creator><creator>Li, Haiping, MD</creator><creator>Blanchet, Jacques, MD</creator><creator>Conway, Ray F., MD</creator><creator>Durkin, Louis, MD</creator><creator>Gerstein, Rick, MD</creator><creator>Strzempko, Stan, MD</creator><creator>Vig, Manish, MD</creator><creator>Santoro, John P., MD</creator><creator>Visintainer, Paul, PhD</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></search><sort><creationdate>20130201</creationdate><title>No Diversion in Western Massachusetts</title><author>Rathlev, Niels K., MD ; Blank, Fidela, MN, MBA ; Osborne, Ben, MD ; Kellogg, Adam, MD ; Li, Haiping, MD ; Blanchet, Jacques, MD ; Conway, Ray F., MD ; Durkin, Louis, MD ; Gerstein, Rick, MD ; Strzempko, Stan, MD ; Vig, Manish, MD ; Santoro, John P., MD ; Visintainer, Paul, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-8521a4812e60aa8dac0bf4d99f3cab1babd6e931862d0420ecf2e20c40e9a1b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>ambulance</topic><topic>Ambulances - statistics &amp; numerical data</topic><topic>Bed Occupancy</topic><topic>diversion</topic><topic>Emergency</topic><topic>Emergency Service, Hospital - utilization</topic><topic>Health Policy</topic><topic>Humans</topic><topic>length of stay</topic><topic>Length of Stay - statistics &amp; numerical data</topic><topic>Linear Models</topic><topic>Massachusetts</topic><topic>Patient Admission - statistics &amp; numerical data</topic><topic>Patient Transfer - statistics &amp; numerical data</topic><topic>Retrospective Studies</topic><topic>State Government</topic><topic>throughput</topic><topic>volume</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rathlev, Niels K., MD</creatorcontrib><creatorcontrib>Blank, Fidela, MN, MBA</creatorcontrib><creatorcontrib>Osborne, Ben, MD</creatorcontrib><creatorcontrib>Kellogg, Adam, MD</creatorcontrib><creatorcontrib>Li, Haiping, MD</creatorcontrib><creatorcontrib>Blanchet, Jacques, MD</creatorcontrib><creatorcontrib>Conway, Ray F., MD</creatorcontrib><creatorcontrib>Durkin, Louis, MD</creatorcontrib><creatorcontrib>Gerstein, Rick, MD</creatorcontrib><creatorcontrib>Strzempko, Stan, MD</creatorcontrib><creatorcontrib>Vig, Manish, MD</creatorcontrib><creatorcontrib>Santoro, John P., MD</creatorcontrib><creatorcontrib>Visintainer, Paul, PhD</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><jtitle>The Journal of emergency medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rathlev, Niels K., MD</au><au>Blank, Fidela, MN, MBA</au><au>Osborne, Ben, MD</au><au>Kellogg, Adam, MD</au><au>Li, Haiping, MD</au><au>Blanchet, Jacques, MD</au><au>Conway, Ray F., MD</au><au>Durkin, Louis, MD</au><au>Gerstein, Rick, MD</au><au>Strzempko, Stan, MD</au><au>Vig, Manish, MD</au><au>Santoro, John P., MD</au><au>Visintainer, Paul, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>No Diversion in Western Massachusetts</atitle><jtitle>The Journal of emergency medicine</jtitle><addtitle>J Emerg Med</addtitle><date>2013-02-01</date><risdate>2013</risdate><volume>44</volume><issue>2</issue><spage>313</spage><epage>320</epage><pages>313-320</pages><issn>0736-4679</issn><eissn>2352-5029</eissn><abstract>Abstract Background Massachusetts (MA) instituted a moratorium on ambulance diversion (“No Diversion”) on January 1, 2009. Study Objectives Determine whether No Diversion was associated with changes in Emergency Department (ED) throughput measures. Design Comparison of three 3-month periods. Period 1: 1 year prior (January–March 2008); Period 2: 3 months prior (October–December 2008); Period 3: 3 months after (January–March 2009). Setting Seven EDs in Western MA; two – including the only Level I Trauma Center – were “high” diversion (≥562 h/year) and 5 were “low” diversion (≤260 h/year). For “all,” “high” diversion and “low” diversion ED groups, we compared mean monthly throughput measures, including: 1) total volume, 2) number of admissions, 3) number of elopements, 4) length of stay for all, admitted and discharged patients. Mean absolute and percent changes were estimated using mixed-effects regression analysis. Linear mixed models were run for “all,” “high” and “low” diversion EDs comparing means of changes between periods. Results are presented as mean change per month in number and percent, and 95% confidence intervals were calculated. We specified that a clinically significant effect of No Diversion had to meet two criteria: 1) there was a consistent difference in the means for both the Period 1 vs. Period 3 comparison and the Period 2 vs. Period 3 comparison, and 2) both comparisons had to achieve statistical significance at p ≤ 0.01. Results According to pre-determined criteria, no clinically significant changes were found in any ED group in mean monthly volume, admissions, elopements, or length-of-stay for any patient disposition group. Conclusion No Diversion was not associated with significant changes in throughput measures in “all,” “high” diversion and “low” diversion EDs.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>22921858</pmid><doi>10.1016/j.jemermed.2012.06.017</doi><tpages>8</tpages></addata></record>
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source Elsevier ScienceDirect Journals Complete - AutoHoldings; MEDLINE
subjects ambulance
Ambulances - statistics & numerical data
Bed Occupancy
diversion
Emergency
Emergency Service, Hospital - utilization
Health Policy
Humans
length of stay
Length of Stay - statistics & numerical data
Linear Models
Massachusetts
Patient Admission - statistics & numerical data
Patient Transfer - statistics & numerical data
Retrospective Studies
State Government
throughput
volume
title No Diversion in Western Massachusetts
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