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DC Field | Value | Language |
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dc.contributor | Wunsch, Hannah | en_US |
dc.contributor | Pilcer, David | en_US |
dc.contributor | Litton, Edward | en_US |
dc.contributor | Anstey, Matthew | en_US |
dc.contributor | Garland, Allan | en_US |
dc.contributor | Gershengorn, Hayley | en_US |
dc.date.accessioned | 2023-02-20T04:50:27Z | - |
dc.date.available | 2023-02-20T04:50:27Z | - |
dc.date.issued | 2022 | - |
dc.identifier.govdoc | 02070 | en_US |
dc.identifier.uri | http://hdl.handle.net/11054/2108 | - |
dc.description | Includes data from BHS and WHCG | en_US |
dc.description.abstract | Objectives: To determine common "bed-to-physician" ratios during weekday hours across ICUs and assess factors associated with variability in this ratio. Design: Retrospective cohort study. Setting: All ICUs in Australia/New Zealand that participated in a staffing survey administered in 2017-2018. Patients: ICU admissions from 2016 to 2018. Methods: We linked survey data with patient-level data. We defined: 1) bed-to-intensivist ratio as the number of usually available ICU beds divided by the number of onsite weekday daytime intensivists; and 2) bed-to-physician ratio as the number of available ICU beds divided by the total number of physicians (intensivists + nonintensivists, including trainees). We calculated the median and interquartile range (IQR) of bed-to-intensivist ratio and bed-to-physician ratios during weekday hours. We assessed variability in each by type of hospital and ICU and by severity of illness of patients, defined by the predicted hospital mortality. Interventions: None. Measurements and main results: Of the 123 (87.2%) of Australia/New Zealand ICUs that returned staffing surveys, 114 (92.7%) had an intensivist present during weekday daytime hours, and 116 (94.3%) reported at least one nonintensivist physician. The median bed-to-intensivist ratio was 8.0 (IQR, 6.0-11.4), which decreased to a bed-to-physician ratio of 3.0 (IQR, 2.2-4.9). These ratios varied with mean severity of illness of the patients in the unit. The median bed-to-intensivist ratio was highest (13.5) for ICUs with a mean predicted mortality > 2-4%, and the median bed-to-physician ratio was highest (5.7) for ICUs with a mean predicted mortality of > 4-6%. Both ratios decreased and plateaued in ICUs with a mean predicted mortality for patients greater than 8% (median bed-to-intensivist ratio range, 6.8-8.0, and bed-to-physician ratio range of 2.4-2.7). Conclusions: Weekday bed-to-physician ratios in Australia/New Zealand ICUs are lower than the bed-to-intensivist ratios and have a relatively fixed ratio of less than 3 for units taking care of patients with a higher average severity of illness. These relationships may be different in other countries or healthcare systems. | en_US |
dc.description.provenance | Submitted by Gemma Siemensma (gemmas@bhs.org.au) on 2023-02-10T02:32:44Z No. of bitstreams: 0 | en |
dc.description.provenance | Approved for entry into archive by Gemma Siemensma (gemmas@bhs.org.au) on 2023-02-20T04:50:27Z (GMT) No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-02-20T04:50:27Z (GMT). No. of bitstreams: 0 Previous issue date: 2022 | en |
dc.title | Variation in bed-to-physician ratios during weekday daytime hours in ICUs in Australia and New Zealand. | en_US |
dc.type | Journal Article | en_US |
dc.type.specified | Article | en_US |
dc.bibliographicCitation.title | Critical Care Medicine | en_US |
dc.bibliographicCitation.volume | 50 | en_US |
dc.bibliographicCitation.issue | 12 | en_US |
dc.bibliographicCitation.stpage | 1737 | en_US |
dc.bibliographicCitation.endpage | 1747 | en_US |
dc.subject.healththesaurus | AUSTRALIA | en_US |
dc.subject.healththesaurus | CRITICAL CARE MEDICINE | en_US |
dc.subject.healththesaurus | INTENSIVE CARE UNIT | en_US |
dc.subject.healththesaurus | INENSIVISTS | en_US |
dc.subject.healththesaurus | PHYSICIANS | en_US |
dc.subject.healththesaurus | STAFFING | en_US |
dc.identifier.doi | https://doi.org/10.1097/CCM.0000000000005623 | en_US |
Appears in Collections: | Research Output |
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