A Rational Approach to Estimating the Surgical Demand Elasticity Needed to Guide Manpower Reallocation during Contagious Outbreaks
Identifieur interne : 001380 ( Main/Exploration ); précédent : 001379; suivant : 001381A Rational Approach to Estimating the Surgical Demand Elasticity Needed to Guide Manpower Reallocation during Contagious Outbreaks
Auteurs : Hsiao-Mei Tsao [Taïwan] ; Ying-Chou Sun [Taïwan] ; Der-Ming Liou [Taïwan]Source :
- PLoS ONE [ 1932-6203 ] ; 2015.
Abstract
Emerging infectious diseases continue to pose serious threats to global public health. So far, however, few published study has addressed the need for manpower reallocation needed in hospitals when such a serious contagious outbreak occurs.
To quantify the demand elasticity of the major surgery types in order to guide future manpower reallocation during contagious outbreaks.
Based on a nationwide research database in Taiwan, we extracted the monthly volumes of major surgery types for the period 1998–2003, which covered the SARS period, in order to carry out a time series analysis. The demand elasticity of each surgery type was then estimated by autoregressive integrated moving average (ARIMA) analysis.
During the study period, the surgical volumes of most selected surgery types either increased or remained steady. We categorized these surgery types into low-, moderate- and high-elastic groups according to their demand elasticity. Appendectomy, ‘open reduction of fracture with internal fixation’ and ‘free skin graft’ were in the low demand elasticity group. Transurethral prostatectomy and extracorporeal shockwave lithotripsy (ESWL) were in the high demand elasticity group. The manpower of the departments carrying out the surgeries with low demand elasticity should be maintained during outbreaks. In contrast, departments in charge of surgeries mainly with high demand elasticity, like urology departments, may be in a position to have part of their staff reallocated.
Taking advantage of the demand variation during the SARS period in 2003, we adopted the concept of demand elasticity and used a time series approach to figure out an effective index of demand elasticity for various types of surgery that could be used as a rational reference to carry out manpower reallocation during contagious outbreak situations.
Url:
DOI: 10.1371/journal.pone.0122625
PubMed: 25837596
PubMed Central: 4383619
Affiliations:
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Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>Institute of Biomedical Informatics, National Yang-Ming University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff002"><addr-line>School of Medicine, National Yang-Ming University, Taipei, Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>School of Medicine, National Yang-Ming University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff003"><addr-line>Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>Department of Radiology, Taipei Veterans General Hospital, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation></author><author><name sortKey="Liou, Der Ming" sort="Liou, Der Ming" uniqKey="Liou D" first="Der-Ming" last="Liou">Der-Ming Liou</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>Institute of Biomedical Informatics, National Yang-Ming University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25837596</idno><idno type="pmc">4383619</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383619</idno><idno type="RBID">PMC:4383619</idno><idno type="doi">10.1371/journal.pone.0122625</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">001344</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001344</idno><idno type="wicri:Area/Pmc/Curation">001344</idno><idno type="wicri:explorRef" wicri:stream="Pmc" 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Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>Institute of Biomedical Informatics, National Yang-Ming University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation></author><author><name sortKey="Sun, Ying Chou" sort="Sun, Ying Chou" uniqKey="Sun Y" first="Ying-Chou" last="Sun">Ying-Chou Sun</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>Institute of Biomedical Informatics, National Yang-Ming University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff002"><addr-line>School of Medicine, National Yang-Ming University, Taipei, Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>School of Medicine, National Yang-Ming University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff003"><addr-line>Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>Department of Radiology, Taipei Veterans General Hospital, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation></author><author><name sortKey="Liou, Der Ming" sort="Liou, Der Ming" uniqKey="Liou D" first="Der-Ming" last="Liou">Der-Ming Liou</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan</addr-line></nlm:aff><country xml:lang="fr">Taïwan</country><wicri:regionArea>Institute of Biomedical Informatics, National Yang-Ming University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Background</title><p>Emerging infectious diseases continue to pose serious threats to global public health. So far, however, few published study has addressed the need for manpower reallocation needed in hospitals when such a serious contagious outbreak occurs.</p></sec><sec id="sec002"><title>Aim</title><p>To quantify the demand elasticity of the major surgery types in order to guide future manpower reallocation during contagious outbreaks.</p></sec><sec id="sec003"><title>Materials and Methods</title><p>Based on a nationwide research database in Taiwan, we extracted the monthly volumes of major surgery types for the period 1998–2003, which covered the SARS period, in order to carry out a time series analysis. The demand elasticity of each surgery type was then estimated by autoregressive integrated moving average (ARIMA) analysis.</p></sec><sec id="sec004"><title>Results</title><p>During the study period, the surgical volumes of most selected surgery types either increased or remained steady. We categorized these surgery types into low-, moderate- and high-elastic groups according to their demand elasticity. Appendectomy, ‘open reduction of fracture with internal fixation’ and ‘free skin graft’ were in the low demand elasticity group. Transurethral prostatectomy and extracorporeal shockwave lithotripsy (ESWL) were in the high demand elasticity group. The manpower of the departments carrying out the surgeries with low demand elasticity should be maintained during outbreaks. In contrast, departments in charge of surgeries mainly with high demand elasticity, like urology departments, may be in a position to have part of their staff reallocated.</p></sec><sec id="sec005"><title>Conclusions</title><p>Taking advantage of the demand variation during the SARS period in 2003, we adopted the concept of demand elasticity and used a time series approach to figure out an effective index of demand elasticity for various types of surgery that could be used as a rational reference to carry out manpower reallocation during contagious outbreak situations.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Morens, Dm" uniqKey="Morens D">DM Morens</name></author><author><name sortKey="Fauci, As" uniqKey="Fauci A">AS Fauci</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wang, Ky" uniqKey="Wang K">KY Wang</name></author></analytic></biblStruct><biblStruct><analytic><author><name 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