Daily volume of cases in emergency call centers: construction and validation of a predictive model View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Damien Viglino, Aurelien Vesin, Stephane Ruckly, Xavier Morelli, Rémi Slama, Guillaume Debaty, Vincent Danel, Maxime Maignan, Jean-François Timsit

ABSTRACT

BACKGROUND: Variations in the activity of emergency dispatch centers are an obstacle to the rationalization of resource allocation. Many explanatory factors are well known, available in advance and could predict the volume of emergency cases. Our objective was to develop and evaluate the performance of a predictive model of daily call center activity. METHODS: A retrospective survey was conducted on all cases from 2005 to 2011 in a large medical emergency call center (1,296,153 cases). A generalized additive model of daily cases was calibrated on data from 2005 to 2008 (1461 days, development sample) and applied to the prediction of days from 2009 to 2011 (1095 days, validation sample). Seventeen calendar and epidemiological variables and a periodic function for seasonality were included in the model. RESULTS: The average number of cases per day was 507 (95% confidence interval: 500 to 514) (range, 286 to 1251). Factors significantly associated with increased case volume were the annual increase, weekend days, public holidays, regional incidence of influenza in the previous week and regional incidence of gastroenteritis in the previous week. The adjusted R for the model was 0.89 in the calibration sample. The model predicted the actual number of cases within ± 100 for 90.5% of the days, with an average error of -13 cases (95% CI: -17 to 8). CONCLUSIONS: A large proportion of the variability of the medical emergency call center's case volume can be predicted using readily available covariates. More... »

PAGES

86

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13049-017-0430-9

DOI

http://dx.doi.org/10.1186/s13049-017-0430-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091370990

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28851446


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Call Centers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Emergencies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Emergency Medical Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "France", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institut Albert Bonniot", 
          "id": "https://www.grid.ac/institutes/grid.418110.d", 
          "name": [
            "University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France", 
            "University Grenoble Alps, INSERM U823, Institut Albert BONNIOT, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Viglino", 
        "givenName": "Damien", 
        "id": "sg:person.01121270332.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121270332.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Albert Bonniot", 
          "id": "https://www.grid.ac/institutes/grid.418110.d", 
          "name": [
            "University Grenoble Alps, INSERM U823, Institut Albert BONNIOT, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vesin", 
        "givenName": "Aurelien", 
        "id": "sg:person.0742332620.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742332620.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Albert Bonniot", 
          "id": "https://www.grid.ac/institutes/grid.418110.d", 
          "name": [
            "University Grenoble Alps, INSERM U823, Institut Albert BONNIOT, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ruckly", 
        "givenName": "Stephane", 
        "id": "sg:person.01013767315.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013767315.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Albert Bonniot", 
          "id": "https://www.grid.ac/institutes/grid.418110.d", 
          "name": [
            "University Grenoble Alps, INSERM U823, Institut Albert BONNIOT, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morelli", 
        "givenName": "Xavier", 
        "id": "sg:person.01136765437.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136765437.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Albert Bonniot", 
          "id": "https://www.grid.ac/institutes/grid.418110.d", 
          "name": [
            "University Grenoble Alps, INSERM U823, Institut Albert BONNIOT, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Slama", 
        "givenName": "R\u00e9mi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France", 
            "University Grenoble Alps, CNRS UMR 5525, TIMC-IMAG laboratory, Team PRETA, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Debaty", 
        "givenName": "Guillaume", 
        "id": "sg:person.01220232430.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220232430.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Danel", 
        "givenName": "Vincent", 
        "id": "sg:person.0712426413.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712426413.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France", 
            "University Grenoble Alps, CNRS UMR 5525, TIMC-IMAG laboratory, Team PRETA, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maignan", 
        "givenName": "Maxime", 
        "id": "sg:person.01120615246.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120615246.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Albert Bonniot", 
          "id": "https://www.grid.ac/institutes/grid.418110.d", 
          "name": [
            "University Grenoble Alps, INSERM U823, Institut Albert BONNIOT, Grenoble, France", 
            "Paris Diderot University, Medical and Infectious Intensive Care Unit, H\u00f4pital Bichat Claude Bernard, AP-HP, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Timsit", 
        "givenName": "Jean-Fran\u00e7ois", 
        "id": "sg:person.01215000253.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215000253.20"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/15563650903250354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003006691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10903120701204797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004925187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10729-006-9006-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013514829", 
          "https://doi.org/10.1007/s10729-006-9006-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.50.suppl_1.s3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013580215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/emj.2008.062380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013863119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envres.2009.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021413721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13613-015-0099-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024034283", 
          "https://doi.org/10.1186/s13613-015-0099-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13613-015-0099-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024034283", 
          "https://doi.org/10.1186/s13613-015-0099-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13049-015-0169-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025191683", 
          "https://doi.org/10.1186/s13049-015-0169-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1757-7241-19-71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027322484", 
          "https://doi.org/10.1186/1757-7241-19-71"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.2073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027653467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-13-905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028292506", 
          "https://doi.org/10.1186/1471-2458-13-905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/096228029500400302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029828182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/096228029500400302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029828182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-197709000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035097353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-197709000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035097353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jemermed.2013.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038398757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10903127.2014.995843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039286716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6963-14-380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041931114", 
          "https://doi.org/10.1186/1472-6963-14-380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1213/ane.0b013e3181cb3f9e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045652598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1213/ane.0b013e3181cb3f9e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045652598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1213/ane.0b013e3181cb3f9e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045652598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envres.2011.07.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049701244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10903127.2011.561403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050038705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1553-2712.2001.tb00550.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052489951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10903127.2010.497895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052989496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0962280206071639", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053997288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0962280206071639", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053997288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/opre.30.6.1148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064729394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2807/1560-7917.es.2015.20.46.30066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070925797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074895723", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00022315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075297483", 
          "https://doi.org/10.1007/pl00022315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076867224", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077607123", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5055/ajdm.2007.0014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077607123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078024981", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5055/ajdm.2009.0037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078024981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078049316", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13049-017-0366-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084251941", 
          "https://doi.org/10.1186/s13049-017-0366-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13049-017-0366-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084251941", 
          "https://doi.org/10.1186/s13049-017-0366-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "BACKGROUND: Variations in the activity of emergency dispatch centers are an obstacle to the rationalization of resource allocation. Many explanatory factors are well known, available in advance and could predict the volume of emergency cases. Our objective was to develop and evaluate the performance of a predictive model of daily call center activity.\nMETHODS: A retrospective survey was conducted on all cases from 2005 to 2011 in a large medical emergency call center (1,296,153 cases). A generalized additive model of daily cases was calibrated on data from 2005 to 2008 (1461\u00a0days, development sample) and applied to the prediction of days from 2009 to 2011 (1095\u00a0days, validation sample). Seventeen calendar and epidemiological variables and a periodic function for seasonality were included in the model.\nRESULTS: The average number of cases per day was 507 (95% confidence interval: 500 to 514) (range, 286 to 1251). Factors significantly associated with increased case volume were the annual increase, weekend days, public holidays, regional incidence of influenza in the previous week and regional incidence of gastroenteritis in the previous week. The adjusted R for the model was 0.89 in the calibration sample. The model predicted the actual number of cases within \u00b1\u2009100 for 90.5% of the days, with an average error of -13 cases (95% CI: -17 to 8).\nCONCLUSIONS: A large proportion of the variability of the medical emergency call center's case volume can be predicted using readily available covariates.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13049-017-0430-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1040201", 
        "issn": [
          "1757-7241"
        ], 
        "name": "Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "Daily volume of cases in emergency call centers: construction and validation of a predictive model", 
    "pagination": "86", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8d1936692f0cafb0c156343533f8fe7e96a1d987fad76055e088171a103fcf1a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28851446"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101477511"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13049-017-0430-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091370990"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13049-017-0430-9", 
      "https://app.dimensions.ai/details/publication/pub.1091370990"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:32", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000552.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186/s13049-017-0430-9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13049-017-0430-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13049-017-0430-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13049-017-0430-9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13049-017-0430-9'


 

This table displays all metadata directly associated to this object as RDF triples.

271 TRIPLES      21 PREDICATES      71 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13049-017-0430-9 schema:about N33476dfb83ae48628c4ea850e990c37e
2 N4543b2812e684240a49516a9c4988b14
3 N55bb3036b159480490340eafd694bb15
4 N7f777dc1b3734c63891d449f07dbeb7f
5 Nb370f826462949778f3e4eb6ac1a9252
6 Nbb7ed92e5e0145dba2bd7bd482f1bca6
7 Nbf8b8618d7ed4470a9dcf02ae2b3b205
8 Nd4a8c6a058fd476986a90bbb7057a777
9 Nf9ac8bd6088f42faa2ac6b1ef3b70a86
10 anzsrc-for:11
11 anzsrc-for:1117
12 schema:author N89c743d9338b491aae0f897324758b7a
13 schema:citation sg:pub.10.1007/pl00022315
14 sg:pub.10.1007/s10729-006-9006-3
15 sg:pub.10.1186/1471-2458-13-905
16 sg:pub.10.1186/1472-6963-14-380
17 sg:pub.10.1186/1757-7241-19-71
18 sg:pub.10.1186/s13049-015-0169-0
19 sg:pub.10.1186/s13049-017-0366-0
20 sg:pub.10.1186/s13613-015-0099-z
21 https://app.dimensions.ai/details/publication/pub.1074895723
22 https://app.dimensions.ai/details/publication/pub.1076867224
23 https://app.dimensions.ai/details/publication/pub.1077607123
24 https://app.dimensions.ai/details/publication/pub.1078024981
25 https://app.dimensions.ai/details/publication/pub.1078049316
26 https://doi.org/10.1002/sim.2073
27 https://doi.org/10.1016/j.envres.2009.03.011
28 https://doi.org/10.1016/j.envres.2011.07.005
29 https://doi.org/10.1016/j.jemermed.2013.02.002
30 https://doi.org/10.1080/10903120701204797
31 https://doi.org/10.1080/15563650903250354
32 https://doi.org/10.1097/00005650-197709000-00002
33 https://doi.org/10.1111/j.1553-2712.2001.tb00550.x
34 https://doi.org/10.1136/emj.2008.062380
35 https://doi.org/10.1136/jech.50.suppl_1.s3
36 https://doi.org/10.1177/0962280206071639
37 https://doi.org/10.1177/096228029500400302
38 https://doi.org/10.1213/ane.0b013e3181cb3f9e
39 https://doi.org/10.1287/opre.30.6.1148
40 https://doi.org/10.2807/1560-7917.es.2015.20.46.30066
41 https://doi.org/10.3109/10903127.2010.497895
42 https://doi.org/10.3109/10903127.2011.561403
43 https://doi.org/10.3109/10903127.2014.995843
44 https://doi.org/10.5055/ajdm.2007.0014
45 https://doi.org/10.5055/ajdm.2009.0037
46 schema:datePublished 2017-12
47 schema:datePublishedReg 2017-12-01
48 schema:description BACKGROUND: Variations in the activity of emergency dispatch centers are an obstacle to the rationalization of resource allocation. Many explanatory factors are well known, available in advance and could predict the volume of emergency cases. Our objective was to develop and evaluate the performance of a predictive model of daily call center activity. METHODS: A retrospective survey was conducted on all cases from 2005 to 2011 in a large medical emergency call center (1,296,153 cases). A generalized additive model of daily cases was calibrated on data from 2005 to 2008 (1461 days, development sample) and applied to the prediction of days from 2009 to 2011 (1095 days, validation sample). Seventeen calendar and epidemiological variables and a periodic function for seasonality were included in the model. RESULTS: The average number of cases per day was 507 (95% confidence interval: 500 to 514) (range, 286 to 1251). Factors significantly associated with increased case volume were the annual increase, weekend days, public holidays, regional incidence of influenza in the previous week and regional incidence of gastroenteritis in the previous week. The adjusted R for the model was 0.89 in the calibration sample. The model predicted the actual number of cases within ± 100 for 90.5% of the days, with an average error of -13 cases (95% CI: -17 to 8). CONCLUSIONS: A large proportion of the variability of the medical emergency call center's case volume can be predicted using readily available covariates.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf N8dd6a4d139494010a136bd1aafe9672b
53 Nc6ec55330d1f41b6b444708efd964db5
54 sg:journal.1040201
55 schema:name Daily volume of cases in emergency call centers: construction and validation of a predictive model
56 schema:pagination 86
57 schema:productId N159801b97ffd468db2bc7377d2cfb66e
58 N203c2d3bbb9b434c846d739136d71e02
59 N242cedd653a141c3a35787c87c901308
60 Nb5638ee1ad7a40af9fb1f8cf17ea3289
61 Ne7ac13c955524474a26c1a38f14873a5
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091370990
63 https://doi.org/10.1186/s13049-017-0430-9
64 schema:sdDatePublished 2019-04-10T23:32
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N8ed00a876aea4994ac75ba6631aae4b8
67 schema:url http://link.springer.com/10.1186/s13049-017-0430-9
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N159801b97ffd468db2bc7377d2cfb66e schema:name readcube_id
72 schema:value 8d1936692f0cafb0c156343533f8fe7e96a1d987fad76055e088171a103fcf1a
73 rdf:type schema:PropertyValue
74 N17ea0a46e7d5415eb5c193e72b1bfef9 schema:name University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France
75 rdf:type schema:Organization
76 N203c2d3bbb9b434c846d739136d71e02 schema:name dimensions_id
77 schema:value pub.1091370990
78 rdf:type schema:PropertyValue
79 N242cedd653a141c3a35787c87c901308 schema:name nlm_unique_id
80 schema:value 101477511
81 rdf:type schema:PropertyValue
82 N33476dfb83ae48628c4ea850e990c37e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Emergency Medical Services
84 rdf:type schema:DefinedTerm
85 N4543b2812e684240a49516a9c4988b14 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Female
87 rdf:type schema:DefinedTerm
88 N4edec9433f274d7fa0cb9e2dd1701acd rdf:first N52e0773b649c4416b91e7561db1088e8
89 rdf:rest N8642fb568af94621b9e43a4d242fcba9
90 N52e0773b649c4416b91e7561db1088e8 schema:affiliation https://www.grid.ac/institutes/grid.418110.d
91 schema:familyName Slama
92 schema:givenName Rémi
93 rdf:type schema:Person
94 N55bb3036b159480490340eafd694bb15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Models, Statistical
96 rdf:type schema:DefinedTerm
97 N6aa14ceb165240f99b39d08385e28b6e schema:name University Grenoble Alps, CNRS UMR 5525, TIMC-IMAG laboratory, Team PRETA, Grenoble, France
98 University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France
99 rdf:type schema:Organization
100 N6e869324c8ca45a9bd59d0c11b338a89 rdf:first sg:person.01215000253.20
101 rdf:rest rdf:nil
102 N6e9cdbe9c7da45a68f8b1646fa89cbc3 rdf:first sg:person.0742332620.87
103 rdf:rest Ne1d8dcd9c2e048fea77f2d3dc6d71083
104 N7f777dc1b3734c63891d449f07dbeb7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Call Centers
106 rdf:type schema:DefinedTerm
107 N8642fb568af94621b9e43a4d242fcba9 rdf:first sg:person.01220232430.18
108 rdf:rest Ne8d7d33422f44a42af8423746e557c95
109 N89c743d9338b491aae0f897324758b7a rdf:first sg:person.01121270332.39
110 rdf:rest N6e9cdbe9c7da45a68f8b1646fa89cbc3
111 N8dd6a4d139494010a136bd1aafe9672b schema:volumeNumber 25
112 rdf:type schema:PublicationVolume
113 N8ed00a876aea4994ac75ba6631aae4b8 schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N94a8369e39184e6db7b6d8c673b86d16 rdf:first sg:person.01120615246.81
116 rdf:rest N6e869324c8ca45a9bd59d0c11b338a89
117 Nb370f826462949778f3e4eb6ac1a9252 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Emergencies
119 rdf:type schema:DefinedTerm
120 Nb5638ee1ad7a40af9fb1f8cf17ea3289 schema:name doi
121 schema:value 10.1186/s13049-017-0430-9
122 rdf:type schema:PropertyValue
123 Nbb7ed92e5e0145dba2bd7bd482f1bca6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name France
125 rdf:type schema:DefinedTerm
126 Nbf8b8618d7ed4470a9dcf02ae2b3b205 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Retrospective Studies
128 rdf:type schema:DefinedTerm
129 Nc6ec55330d1f41b6b444708efd964db5 schema:issueNumber 1
130 rdf:type schema:PublicationIssue
131 Ncb5230113ce04e01b2484ca4201e6098 rdf:first sg:person.01136765437.79
132 rdf:rest N4edec9433f274d7fa0cb9e2dd1701acd
133 Nd4a8c6a058fd476986a90bbb7057a777 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Incidence
135 rdf:type schema:DefinedTerm
136 Ne1d8dcd9c2e048fea77f2d3dc6d71083 rdf:first sg:person.01013767315.45
137 rdf:rest Ncb5230113ce04e01b2484ca4201e6098
138 Ne4b0e332bfe54f39b94963cafb3258c6 schema:name University Grenoble Alps, CNRS UMR 5525, TIMC-IMAG laboratory, Team PRETA, Grenoble, France
139 University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France
140 rdf:type schema:Organization
141 Ne7ac13c955524474a26c1a38f14873a5 schema:name pubmed_id
142 schema:value 28851446
143 rdf:type schema:PropertyValue
144 Ne8d7d33422f44a42af8423746e557c95 rdf:first sg:person.0712426413.86
145 rdf:rest N94a8369e39184e6db7b6d8c673b86d16
146 Nf9ac8bd6088f42faa2ac6b1ef3b70a86 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Humans
148 rdf:type schema:DefinedTerm
149 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
150 schema:name Medical and Health Sciences
151 rdf:type schema:DefinedTerm
152 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
153 schema:name Public Health and Health Services
154 rdf:type schema:DefinedTerm
155 sg:journal.1040201 schema:issn 1757-7241
156 schema:name Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
157 rdf:type schema:Periodical
158 sg:person.01013767315.45 schema:affiliation https://www.grid.ac/institutes/grid.418110.d
159 schema:familyName Ruckly
160 schema:givenName Stephane
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013767315.45
162 rdf:type schema:Person
163 sg:person.01120615246.81 schema:affiliation N6aa14ceb165240f99b39d08385e28b6e
164 schema:familyName Maignan
165 schema:givenName Maxime
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120615246.81
167 rdf:type schema:Person
168 sg:person.01121270332.39 schema:affiliation https://www.grid.ac/institutes/grid.418110.d
169 schema:familyName Viglino
170 schema:givenName Damien
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121270332.39
172 rdf:type schema:Person
173 sg:person.01136765437.79 schema:affiliation https://www.grid.ac/institutes/grid.418110.d
174 schema:familyName Morelli
175 schema:givenName Xavier
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136765437.79
177 rdf:type schema:Person
178 sg:person.01215000253.20 schema:affiliation https://www.grid.ac/institutes/grid.418110.d
179 schema:familyName Timsit
180 schema:givenName Jean-François
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215000253.20
182 rdf:type schema:Person
183 sg:person.01220232430.18 schema:affiliation Ne4b0e332bfe54f39b94963cafb3258c6
184 schema:familyName Debaty
185 schema:givenName Guillaume
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220232430.18
187 rdf:type schema:Person
188 sg:person.0712426413.86 schema:affiliation N17ea0a46e7d5415eb5c193e72b1bfef9
189 schema:familyName Danel
190 schema:givenName Vincent
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712426413.86
192 rdf:type schema:Person
193 sg:person.0742332620.87 schema:affiliation https://www.grid.ac/institutes/grid.418110.d
194 schema:familyName Vesin
195 schema:givenName Aurelien
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742332620.87
197 rdf:type schema:Person
198 sg:pub.10.1007/pl00022315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075297483
199 https://doi.org/10.1007/pl00022315
200 rdf:type schema:CreativeWork
201 sg:pub.10.1007/s10729-006-9006-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013514829
202 https://doi.org/10.1007/s10729-006-9006-3
203 rdf:type schema:CreativeWork
204 sg:pub.10.1186/1471-2458-13-905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028292506
205 https://doi.org/10.1186/1471-2458-13-905
206 rdf:type schema:CreativeWork
207 sg:pub.10.1186/1472-6963-14-380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041931114
208 https://doi.org/10.1186/1472-6963-14-380
209 rdf:type schema:CreativeWork
210 sg:pub.10.1186/1757-7241-19-71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027322484
211 https://doi.org/10.1186/1757-7241-19-71
212 rdf:type schema:CreativeWork
213 sg:pub.10.1186/s13049-015-0169-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025191683
214 https://doi.org/10.1186/s13049-015-0169-0
215 rdf:type schema:CreativeWork
216 sg:pub.10.1186/s13049-017-0366-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084251941
217 https://doi.org/10.1186/s13049-017-0366-0
218 rdf:type schema:CreativeWork
219 sg:pub.10.1186/s13613-015-0099-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024034283
220 https://doi.org/10.1186/s13613-015-0099-z
221 rdf:type schema:CreativeWork
222 https://app.dimensions.ai/details/publication/pub.1074895723 schema:CreativeWork
223 https://app.dimensions.ai/details/publication/pub.1076867224 schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1077607123 schema:CreativeWork
225 https://app.dimensions.ai/details/publication/pub.1078024981 schema:CreativeWork
226 https://app.dimensions.ai/details/publication/pub.1078049316 schema:CreativeWork
227 https://doi.org/10.1002/sim.2073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027653467
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.envres.2009.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021413721
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.envres.2011.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049701244
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.jemermed.2013.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038398757
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1080/10903120701204797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004925187
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1080/15563650903250354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003006691
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1097/00005650-197709000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035097353
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1111/j.1553-2712.2001.tb00550.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052489951
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1136/emj.2008.062380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013863119
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1136/jech.50.suppl_1.s3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013580215
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1177/0962280206071639 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053997288
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1177/096228029500400302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029828182
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1213/ane.0b013e3181cb3f9e schema:sameAs https://app.dimensions.ai/details/publication/pub.1045652598
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1287/opre.30.6.1148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064729394
254 rdf:type schema:CreativeWork
255 https://doi.org/10.2807/1560-7917.es.2015.20.46.30066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070925797
256 rdf:type schema:CreativeWork
257 https://doi.org/10.3109/10903127.2010.497895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052989496
258 rdf:type schema:CreativeWork
259 https://doi.org/10.3109/10903127.2011.561403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050038705
260 rdf:type schema:CreativeWork
261 https://doi.org/10.3109/10903127.2014.995843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039286716
262 rdf:type schema:CreativeWork
263 https://doi.org/10.5055/ajdm.2007.0014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077607123
264 rdf:type schema:CreativeWork
265 https://doi.org/10.5055/ajdm.2009.0037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078024981
266 rdf:type schema:CreativeWork
267 https://www.grid.ac/institutes/grid.418110.d schema:alternateName Institut Albert Bonniot
268 schema:name Paris Diderot University, Medical and Infectious Intensive Care Unit, Hôpital Bichat Claude Bernard, AP-HP, Paris, France
269 University Grenoble Alps, Emergency Department and Mobile Intensive Care Unit, CHU Grenoble Alps, Grenoble, France
270 University Grenoble Alps, INSERM U823, Institut Albert BONNIOT, Grenoble, France
271 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...