Long-term capacity planning for obstetric surgical suites using quantile linear regression
Obstetric surgical suites differ from most inpatient surgical suites, serving one specialty, and often small. We evaluated long-term capacity planning for these operating rooms. The retrospective cohort study included all caesarean births in three operating rooms over 28 years, 1994 through 2021, pl...
Gespeichert in:
Veröffentlicht in: | Anaesthesia and intensive care 2023-05, Vol.51 (3), p.178-184 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 184 |
---|---|
container_issue | 3 |
container_start_page | 178 |
container_title | Anaesthesia and intensive care |
container_volume | 51 |
creator | Dexter, Franklin Epstein, Richard H Thenuwara, Kokila N |
description | Obstetric surgical suites differ from most inpatient surgical suites, serving one specialty, and often small. We evaluated long-term capacity planning for these operating rooms. The retrospective cohort study included all caesarean births in three operating rooms over 28 years, 1994 through 2021, plus all other obstetric procedures over the latter 19 years. We calculated the obstetric anaesthesia activity index, 0.5neuraxial labour analgesia placementþ1.0caesarean births. Annual caesarean births from one year to the next had a Pearson linear correlation coefficient of 0.993. Therefore, linear regression can be used for long-term capacity planning. However, the difference between 0.9 and 0.1 quantiles in weekly caseloads was greater than tenfold larger than the annual rate of growth in births per week. Therefore, clinicians likely would be unable to distinguish, by experience, between growth versus being busy due to variability, suggesting value of the modelling. Over 19 years, the fraction of the obstetric workload from caesarean births was unchanging, Pearson correlation coefficient of 0.04. Therefore, use of the obstetric anaesthesia activity index to judge changes in workload was appropriate. The annual total for the index increased linearly, Pearson correlation coefficient of 0.98, supporting validity of the finding that long-term capacity can be planned with linear regression. The difference between 0.9 and 0.1 quantiles in weekly totals of the index exceeded annual rate of growth, supporting validity of the finding that variability week to week is very large relative to growth. These results help decision-makers ensure that operating rooms and staff meet referring hospitals' needs. |
doi_str_mv | 10.1177/0310057X221127713 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2768813541</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><informt_id>10.3316/informit.068874740987749</informt_id><sage_id>10.1177_0310057X221127713</sage_id><sourcerecordid>2768813541</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-5d5e8f611cad688527b93c0fee1f874ea19242ed08c8c529f79e2832f3cb30c43</originalsourceid><addsrcrecordid>eNp9kU-L1TAUxYMoznP0A7iRghs3HXOTtEmWMox_4IGbEcRNyEtvax5t8iZJF_PtTXmjAwquEri_c-7JCSGvgV4BSPmecqC0k98ZA2BSAn9CdiCEaimT8JTstnm7ARfkRc5HSkEz2T0nF7zvleK93pEf-ximtmBaGmdP1vly35xmG4IPUzPG1MRDLliSd01e0-SdnevFF8zNmjfmbrWh-Bmb2Qe0qUk4JczZx_CSPBvtnPHVw3lJvn28ub3-3O6_fvpy_WHfOq5labuhQzX2AM4ONVXH5EFzR0dEGJUUaGtowXCgyinXMT1KjUxxNnJ34NQJfknenX1PKd6tmItZfHY411dgXLNhstoC7wRU9O1f6DGuKdR0hinoQGrFNwrOlEsx54SjOSW_2HRvgJqtePNP8VXz5sF5PSw4_FH8broCV2cg2wkf1_7P8fYsSIsvxsV5RldqrfloSza5du1-Gh_qH23zmCYzRL_5cQ7944DW_VJIQbWSUmj-CwUlqTY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2815179831</pqid></control><display><type>article</type><title>Long-term capacity planning for obstetric surgical suites using quantile linear regression</title><source>MEDLINE</source><source>SAGE Complete A-Z List</source><source>Alma/SFX Local Collection</source><creator>Dexter, Franklin ; Epstein, Richard H ; Thenuwara, Kokila N</creator><creatorcontrib>Dexter, Franklin ; Epstein, Richard H ; Thenuwara, Kokila N</creatorcontrib><description>Obstetric surgical suites differ from most inpatient surgical suites, serving one specialty, and often small. We evaluated long-term capacity planning for these operating rooms. The retrospective cohort study included all caesarean births in three operating rooms over 28 years, 1994 through 2021, plus all other obstetric procedures over the latter 19 years. We calculated the obstetric anaesthesia activity index, 0.5neuraxial labour analgesia placementþ1.0caesarean births. Annual caesarean births from one year to the next had a Pearson linear correlation coefficient of 0.993. Therefore, linear regression can be used for long-term capacity planning. However, the difference between 0.9 and 0.1 quantiles in weekly caseloads was greater than tenfold larger than the annual rate of growth in births per week. Therefore, clinicians likely would be unable to distinguish, by experience, between growth versus being busy due to variability, suggesting value of the modelling. Over 19 years, the fraction of the obstetric workload from caesarean births was unchanging, Pearson correlation coefficient of 0.04. Therefore, use of the obstetric anaesthesia activity index to judge changes in workload was appropriate. The annual total for the index increased linearly, Pearson correlation coefficient of 0.98, supporting validity of the finding that long-term capacity can be planned with linear regression. The difference between 0.9 and 0.1 quantiles in weekly totals of the index exceeded annual rate of growth, supporting validity of the finding that variability week to week is very large relative to growth. These results help decision-makers ensure that operating rooms and staff meet referring hospitals' needs.</description><identifier>ISSN: 0310-057X</identifier><identifier>EISSN: 1448-0271</identifier><identifier>DOI: 10.1177/0310057X221127713</identifier><identifier>PMID: 36688369</identifier><language>eng</language><publisher>Thousand Oaks, CA: SAGE Publications</publisher><subject>Analgesics ; Anesthesia ; Anesthesia, Obstetrical ; Cesarean Section ; Data collection ; Female ; Hospitals ; Humans ; Linear Models ; Management ; Obstetrics ; Operating rooms ; Pregnancy ; Regression analysis ; Retrospective Studies ; Surgery ; Workforce planning ; Workload ; Workloads</subject><ispartof>Anaesthesia and intensive care, 2023-05, Vol.51 (3), p.178-184</ispartof><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c397t-5d5e8f611cad688527b93c0fee1f874ea19242ed08c8c529f79e2832f3cb30c43</cites><orcidid>0000-0001-5897-2484</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0310057X221127713$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0310057X221127713$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36688369$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dexter, Franklin</creatorcontrib><creatorcontrib>Epstein, Richard H</creatorcontrib><creatorcontrib>Thenuwara, Kokila N</creatorcontrib><title>Long-term capacity planning for obstetric surgical suites using quantile linear regression</title><title>Anaesthesia and intensive care</title><addtitle>Anaesth Intensive Care</addtitle><description>Obstetric surgical suites differ from most inpatient surgical suites, serving one specialty, and often small. We evaluated long-term capacity planning for these operating rooms. The retrospective cohort study included all caesarean births in three operating rooms over 28 years, 1994 through 2021, plus all other obstetric procedures over the latter 19 years. We calculated the obstetric anaesthesia activity index, 0.5neuraxial labour analgesia placementþ1.0caesarean births. Annual caesarean births from one year to the next had a Pearson linear correlation coefficient of 0.993. Therefore, linear regression can be used for long-term capacity planning. However, the difference between 0.9 and 0.1 quantiles in weekly caseloads was greater than tenfold larger than the annual rate of growth in births per week. Therefore, clinicians likely would be unable to distinguish, by experience, between growth versus being busy due to variability, suggesting value of the modelling. Over 19 years, the fraction of the obstetric workload from caesarean births was unchanging, Pearson correlation coefficient of 0.04. Therefore, use of the obstetric anaesthesia activity index to judge changes in workload was appropriate. The annual total for the index increased linearly, Pearson correlation coefficient of 0.98, supporting validity of the finding that long-term capacity can be planned with linear regression. The difference between 0.9 and 0.1 quantiles in weekly totals of the index exceeded annual rate of growth, supporting validity of the finding that variability week to week is very large relative to growth. These results help decision-makers ensure that operating rooms and staff meet referring hospitals' needs.</description><subject>Analgesics</subject><subject>Anesthesia</subject><subject>Anesthesia, Obstetrical</subject><subject>Cesarean Section</subject><subject>Data collection</subject><subject>Female</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Management</subject><subject>Obstetrics</subject><subject>Operating rooms</subject><subject>Pregnancy</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Surgery</subject><subject>Workforce planning</subject><subject>Workload</subject><subject>Workloads</subject><issn>0310-057X</issn><issn>1448-0271</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU-L1TAUxYMoznP0A7iRghs3HXOTtEmWMox_4IGbEcRNyEtvax5t8iZJF_PtTXmjAwquEri_c-7JCSGvgV4BSPmecqC0k98ZA2BSAn9CdiCEaimT8JTstnm7ARfkRc5HSkEz2T0nF7zvleK93pEf-ximtmBaGmdP1vly35xmG4IPUzPG1MRDLliSd01e0-SdnevFF8zNmjfmbrWh-Bmb2Qe0qUk4JczZx_CSPBvtnPHVw3lJvn28ub3-3O6_fvpy_WHfOq5labuhQzX2AM4ONVXH5EFzR0dEGJUUaGtowXCgyinXMT1KjUxxNnJ34NQJfknenX1PKd6tmItZfHY411dgXLNhstoC7wRU9O1f6DGuKdR0hinoQGrFNwrOlEsx54SjOSW_2HRvgJqtePNP8VXz5sF5PSw4_FH8broCV2cg2wkf1_7P8fYsSIsvxsV5RldqrfloSza5du1-Gh_qH23zmCYzRL_5cQ7944DW_VJIQbWSUmj-CwUlqTY</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Dexter, Franklin</creator><creator>Epstein, Richard H</creator><creator>Thenuwara, Kokila N</creator><general>SAGE Publications</general><general>Sage Publications Ltd</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>4T-</scope><scope>4U-</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5897-2484</orcidid></search><sort><creationdate>20230501</creationdate><title>Long-term capacity planning for obstetric surgical suites using quantile linear regression</title><author>Dexter, Franklin ; Epstein, Richard H ; Thenuwara, Kokila N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-5d5e8f611cad688527b93c0fee1f874ea19242ed08c8c529f79e2832f3cb30c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analgesics</topic><topic>Anesthesia</topic><topic>Anesthesia, Obstetrical</topic><topic>Cesarean Section</topic><topic>Data collection</topic><topic>Female</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Management</topic><topic>Obstetrics</topic><topic>Operating rooms</topic><topic>Pregnancy</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Surgery</topic><topic>Workforce planning</topic><topic>Workload</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dexter, Franklin</creatorcontrib><creatorcontrib>Epstein, Richard H</creatorcontrib><creatorcontrib>Thenuwara, Kokila N</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Anaesthesia and intensive care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dexter, Franklin</au><au>Epstein, Richard H</au><au>Thenuwara, Kokila N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long-term capacity planning for obstetric surgical suites using quantile linear regression</atitle><jtitle>Anaesthesia and intensive care</jtitle><addtitle>Anaesth Intensive Care</addtitle><date>2023-05-01</date><risdate>2023</risdate><volume>51</volume><issue>3</issue><spage>178</spage><epage>184</epage><pages>178-184</pages><issn>0310-057X</issn><eissn>1448-0271</eissn><abstract>Obstetric surgical suites differ from most inpatient surgical suites, serving one specialty, and often small. We evaluated long-term capacity planning for these operating rooms. The retrospective cohort study included all caesarean births in three operating rooms over 28 years, 1994 through 2021, plus all other obstetric procedures over the latter 19 years. We calculated the obstetric anaesthesia activity index, 0.5neuraxial labour analgesia placementþ1.0caesarean births. Annual caesarean births from one year to the next had a Pearson linear correlation coefficient of 0.993. Therefore, linear regression can be used for long-term capacity planning. However, the difference between 0.9 and 0.1 quantiles in weekly caseloads was greater than tenfold larger than the annual rate of growth in births per week. Therefore, clinicians likely would be unable to distinguish, by experience, between growth versus being busy due to variability, suggesting value of the modelling. Over 19 years, the fraction of the obstetric workload from caesarean births was unchanging, Pearson correlation coefficient of 0.04. Therefore, use of the obstetric anaesthesia activity index to judge changes in workload was appropriate. The annual total for the index increased linearly, Pearson correlation coefficient of 0.98, supporting validity of the finding that long-term capacity can be planned with linear regression. The difference between 0.9 and 0.1 quantiles in weekly totals of the index exceeded annual rate of growth, supporting validity of the finding that variability week to week is very large relative to growth. These results help decision-makers ensure that operating rooms and staff meet referring hospitals' needs.</abstract><cop>Thousand Oaks, CA</cop><pub>SAGE Publications</pub><pmid>36688369</pmid><doi>10.1177/0310057X221127713</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5897-2484</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0310-057X |
ispartof | Anaesthesia and intensive care, 2023-05, Vol.51 (3), p.178-184 |
issn | 0310-057X 1448-0271 |
language | eng |
recordid | cdi_proquest_miscellaneous_2768813541 |
source | MEDLINE; SAGE Complete A-Z List; Alma/SFX Local Collection |
subjects | Analgesics Anesthesia Anesthesia, Obstetrical Cesarean Section Data collection Female Hospitals Humans Linear Models Management Obstetrics Operating rooms Pregnancy Regression analysis Retrospective Studies Surgery Workforce planning Workload Workloads |
title | Long-term capacity planning for obstetric surgical suites using quantile linear regression |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T18%3A33%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Long-term%20capacity%20planning%20for%20obstetric%20surgical%20suites%20using%20quantile%20linear%20regression&rft.jtitle=Anaesthesia%20and%20intensive%20care&rft.au=Dexter,%20Franklin&rft.date=2023-05-01&rft.volume=51&rft.issue=3&rft.spage=178&rft.epage=184&rft.pages=178-184&rft.issn=0310-057X&rft.eissn=1448-0271&rft_id=info:doi/10.1177/0310057X221127713&rft_dat=%3Cproquest_cross%3E2768813541%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2815179831&rft_id=info:pmid/36688369&rft_informt_id=10.3316/informit.068874740987749&rft_sage_id=10.1177_0310057X221127713&rfr_iscdi=true |