Cargando…
Perioperative Care Structures and Non-Routine Events: Network Analysis
Non-routine events (NREs) are any aspect of care perceived by clinicians as a deviation from optimal care. The reporting of NREs to peers (or care teams) may help healthcare organizations improve patient safety in high-risk work environments (e.g., surgery). While various factors, including care str...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213069/ https://www.ncbi.nlm.nih.gov/pubmed/35673035 http://dx.doi.org/10.3233/SHTI220096 |
_version_ | 1784730754106785792 |
---|---|
author | Chen, You Alrifai, Mhd Wael Gong, Yang Evan, Rhodes Slagle, Jason Malin, Bradley France, Daniel |
author_facet | Chen, You Alrifai, Mhd Wael Gong, Yang Evan, Rhodes Slagle, Jason Malin, Bradley France, Daniel |
author_sort | Chen, You |
collection | PubMed |
description | Non-routine events (NREs) are any aspect of care perceived by clinicians as a deviation from optimal care. The reporting of NREs to peers (or care teams) may help healthcare organizations improve patient safety in high-risk work environments (e.g., surgery). While various factors, including care structure and organizational factors may influence a clinician’s NRE reporting behavior, their role has not been systematically studied. We conducted a retrospective study relying on NREs and electronic health records to determine if perioperative interaction structures among clinicians are associated with the frequency of NRE reporting in a large academic medical center. The data covers November 1, 2016, to January 31, 2019 and includes 295 perioperative clinicians, 225 neonatal surgical cases, and 543 NREs. Using network analysis, we measured a clinician’s status in interaction structures according to the sociometric factors of degree, betweenness, and eigenvector centrality. We applied a proportional odds model to measure the relationship between each sociometric factor and NRE reporting frequency. Our findings indicate that the centrality of clinicians is directly associated with the quantity of NREs per surgical case. |
format | Online Article Text |
id | pubmed-9213069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-92130692022-06-21 Perioperative Care Structures and Non-Routine Events: Network Analysis Chen, You Alrifai, Mhd Wael Gong, Yang Evan, Rhodes Slagle, Jason Malin, Bradley France, Daniel Stud Health Technol Inform Article Non-routine events (NREs) are any aspect of care perceived by clinicians as a deviation from optimal care. The reporting of NREs to peers (or care teams) may help healthcare organizations improve patient safety in high-risk work environments (e.g., surgery). While various factors, including care structure and organizational factors may influence a clinician’s NRE reporting behavior, their role has not been systematically studied. We conducted a retrospective study relying on NREs and electronic health records to determine if perioperative interaction structures among clinicians are associated with the frequency of NRE reporting in a large academic medical center. The data covers November 1, 2016, to January 31, 2019 and includes 295 perioperative clinicians, 225 neonatal surgical cases, and 543 NREs. Using network analysis, we measured a clinician’s status in interaction structures according to the sociometric factors of degree, betweenness, and eigenvector centrality. We applied a proportional odds model to measure the relationship between each sociometric factor and NRE reporting frequency. Our findings indicate that the centrality of clinicians is directly associated with the quantity of NREs per surgical case. 2022-06-06 /pmc/articles/PMC9213069/ /pubmed/35673035 http://dx.doi.org/10.3233/SHTI220096 Text en https://creativecommons.org/licenses/by-nc/4.0/This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). |
spellingShingle | Article Chen, You Alrifai, Mhd Wael Gong, Yang Evan, Rhodes Slagle, Jason Malin, Bradley France, Daniel Perioperative Care Structures and Non-Routine Events: Network Analysis |
title | Perioperative Care Structures and Non-Routine Events: Network Analysis |
title_full | Perioperative Care Structures and Non-Routine Events: Network Analysis |
title_fullStr | Perioperative Care Structures and Non-Routine Events: Network Analysis |
title_full_unstemmed | Perioperative Care Structures and Non-Routine Events: Network Analysis |
title_short | Perioperative Care Structures and Non-Routine Events: Network Analysis |
title_sort | perioperative care structures and non-routine events: network analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213069/ https://www.ncbi.nlm.nih.gov/pubmed/35673035 http://dx.doi.org/10.3233/SHTI220096 |
work_keys_str_mv | AT chenyou perioperativecarestructuresandnonroutineeventsnetworkanalysis AT alrifaimhdwael perioperativecarestructuresandnonroutineeventsnetworkanalysis AT gongyang perioperativecarestructuresandnonroutineeventsnetworkanalysis AT evanrhodes perioperativecarestructuresandnonroutineeventsnetworkanalysis AT slaglejason perioperativecarestructuresandnonroutineeventsnetworkanalysis AT malinbradley perioperativecarestructuresandnonroutineeventsnetworkanalysis AT francedaniel perioperativecarestructuresandnonroutineeventsnetworkanalysis |