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Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis

BACKGROUND: The care of pediatric trauma patients is delivered by multidisciplinary care teams with high fluidity that may vary in composition and organization depending on the time of day. OBJECTIVE: This study aims to identify and describe diurnal variations in multidisciplinary care teams taking...

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Autores principales: Durojaiye, Ashimiyu, Fackler, James, McGeorge, Nicolette, Webster, Kristen, Kharrazi, Hadi, Gurses, Ayse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857698/
https://www.ncbi.nlm.nih.gov/pubmed/35119372
http://dx.doi.org/10.2196/30351
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author Durojaiye, Ashimiyu
Fackler, James
McGeorge, Nicolette
Webster, Kristen
Kharrazi, Hadi
Gurses, Ayse
author_facet Durojaiye, Ashimiyu
Fackler, James
McGeorge, Nicolette
Webster, Kristen
Kharrazi, Hadi
Gurses, Ayse
author_sort Durojaiye, Ashimiyu
collection PubMed
description BACKGROUND: The care of pediatric trauma patients is delivered by multidisciplinary care teams with high fluidity that may vary in composition and organization depending on the time of day. OBJECTIVE: This study aims to identify and describe diurnal variations in multidisciplinary care teams taking care of pediatric trauma patients using social network analysis on electronic health record (EHR) data. METHODS: Metadata of clinical activities were extracted from the EHR and processed into an event log, which was divided into 6 different event logs based on shift (day or night) and location (emergency department, pediatric intensive care unit, and floor). Social networks were constructed from each event log by creating an edge among the functional roles captured within a similar time interval during a shift. Overlapping communities were identified from the social networks. Day and night network structures for each care location were compared and validated via comparison with secondary analysis of qualitatively derived care team data, obtained through semistructured interviews; and member-checking interviews with clinicians. RESULTS: There were 413 encounters in the 1-year study period, with 65.9% (272/413) and 34.1% (141/413) beginning during day and night shifts, respectively. A single community was identified at all locations during the day and in the pediatric intensive care unit at night, whereas multiple communities corresponding to individual specialty services were identified in the emergency department and on the floor at night. Members of the trauma service belonged to all communities, suggesting that they were responsible for care coordination. Health care professionals found the networks to be largely accurate representations of the composition of the care teams and the interactions among them. CONCLUSIONS: Social network analysis was successfully used on EHR data to identify and describe diurnal differences in the composition and organization of multidisciplinary care teams at a pediatric trauma center.
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spelling pubmed-88576982022-03-08 Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis Durojaiye, Ashimiyu Fackler, James McGeorge, Nicolette Webster, Kristen Kharrazi, Hadi Gurses, Ayse J Med Internet Res Original Paper BACKGROUND: The care of pediatric trauma patients is delivered by multidisciplinary care teams with high fluidity that may vary in composition and organization depending on the time of day. OBJECTIVE: This study aims to identify and describe diurnal variations in multidisciplinary care teams taking care of pediatric trauma patients using social network analysis on electronic health record (EHR) data. METHODS: Metadata of clinical activities were extracted from the EHR and processed into an event log, which was divided into 6 different event logs based on shift (day or night) and location (emergency department, pediatric intensive care unit, and floor). Social networks were constructed from each event log by creating an edge among the functional roles captured within a similar time interval during a shift. Overlapping communities were identified from the social networks. Day and night network structures for each care location were compared and validated via comparison with secondary analysis of qualitatively derived care team data, obtained through semistructured interviews; and member-checking interviews with clinicians. RESULTS: There were 413 encounters in the 1-year study period, with 65.9% (272/413) and 34.1% (141/413) beginning during day and night shifts, respectively. A single community was identified at all locations during the day and in the pediatric intensive care unit at night, whereas multiple communities corresponding to individual specialty services were identified in the emergency department and on the floor at night. Members of the trauma service belonged to all communities, suggesting that they were responsible for care coordination. Health care professionals found the networks to be largely accurate representations of the composition of the care teams and the interactions among them. CONCLUSIONS: Social network analysis was successfully used on EHR data to identify and describe diurnal differences in the composition and organization of multidisciplinary care teams at a pediatric trauma center. JMIR Publications 2022-02-04 /pmc/articles/PMC8857698/ /pubmed/35119372 http://dx.doi.org/10.2196/30351 Text en ©Ashimiyu Durojaiye, James Fackler, Nicolette McGeorge, Kristen Webster, Hadi Kharrazi, Ayse Gurses. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.02.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Durojaiye, Ashimiyu
Fackler, James
McGeorge, Nicolette
Webster, Kristen
Kharrazi, Hadi
Gurses, Ayse
Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis
title Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis
title_full Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis
title_fullStr Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis
title_full_unstemmed Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis
title_short Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis
title_sort examining diurnal differences in multidisciplinary care teams at a pediatric trauma center using electronic health record data: social network analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857698/
https://www.ncbi.nlm.nih.gov/pubmed/35119372
http://dx.doi.org/10.2196/30351
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