Literature DB >> 20457681

Network analysis of team structure in the neonatal intensive care unit.

James E Gray1, Darcy A Davis, DeWayne M Pursley, Jane E Smallcomb, Alon Geva, Nitesh V Chawla.   

Abstract

OBJECTIVE: The goal was to examine nursing team structure and its relationship with family satisfaction.
METHODS: We used electronic health records to create patient-based, 1-mode networks of nursing handoffs. In these networks, nurses were represented as nodes and handoffs as edges. For each patient, we calculated network statistics including team size and diameter, network centrality index, proportion of newcomers to care teams according to day of hospitalization, and a novel measure of the average number of shifts between repeat caregivers, which was meant to quantify nursing continuity. We assessed parental satisfaction by using a standardized survey.
RESULTS: Team size increased with increasing length of stay. At 2 weeks of age, 50% of shifts were staffed by a newcomer nurse who had not previously cared for the index patient. The patterns of newcomers to teams did not differ according to birth weight. When the population was dichotomized according to median mean repeat caregiver interval value, increased reports of problems with nursing care were seen with less-consistent staffing by familiar nurses. This relationship persisted after controlling for factors including birth weight, length of stay, and team size.
CONCLUSIONS: Family perceptions of nursing care quality are more strongly associated with team structure and the sequence of nursing participation than with team size. Objective measures of health care team structure and function can be examined by applying network analytic techniques to information contained in electronic health records.

Entities:  

Mesh:

Year:  2010        PMID: 20457681     DOI: 10.1542/peds.2009-2621

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  22 in total

1.  Learning relational policies from electronic health record access logs.

Authors:  Bradley Malin; Steve Nyemba; John Paulett
Journal:  J Biomed Inform       Date:  2011-01-26       Impact factor: 6.317

2.  Using Digital Crumbs from an Electronic Health Record to identify, study and improve health care teams.

Authors:  James E Gray; Henry Feldman; Shane Reti; Larry Markson; Xiaoning Lu; Roger B Davis; Charles A Safran
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  The art of effective handoffs: what is the evidence?

Authors:  Sheila M Gephart
Journal:  Adv Neonatal Care       Date:  2012-02       Impact factor: 1.968

4.  Properties of healthcare teaming networks as a function of network construction algorithms.

Authors:  Martin S Zand; Melissa Trayhan; Samir A Farooq; Christopher Fucile; Gourab Ghoshal; Robert J White; Caroline M Quill; Alexander Rosenberg; Hugo Serrano Barbosa; Kristen Bush; Hassan Chafi; Timothy Boudreau
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

5.  Provider Connectedness to Other Providers Reduces Risk of Readmission After Hospitalization for Heart Failure.

Authors:  Alon Geva; Karen L Olson; Chunfu Liu; Kenneth D Mandl
Journal:  Med Care Res Rev       Date:  2017-07-08       Impact factor: 3.929

6.  Neonatal Informatics: Information Technology to Support Handoffs in Neonatal Care.

Authors:  Jonathan P Palma; Erik G Van Eaton; Christopher A Longhurst
Journal:  Neoreviews       Date:  2011

7.  Characterizing Teamwork in Cardiovascular Care Outcomes: A Network Analytics Approach.

Authors:  Matthew B Carson; Denise M Scholtens; Conor N Frailey; Stephanie J Gravenor; Emilie S Powell; Amy Y Wang; Gayle Shier Kricke; Faraz S Ahmad; R Kannan Mutharasan; Nicholas D Soulakis
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-11-08

8.  Do You Know My Child? Continuity of Nursing Care in the Pediatric Intensive Care Unit.

Authors:  Jennifer Baird; Roberta S Rehm; Pamela S Hinds; Christina Baggott; Betty Davies
Journal:  Nurs Res       Date:  2016 Mar-Apr       Impact factor: 2.381

9.  The Safety Attitudes Questionnaire as a tool for benchmarking safety culture in the NICU.

Authors:  Jochen Profit; Jason Etchegaray; Laura A Petersen; J Bryan Sexton; Sylvia J Hysong; Minghua Mei; Eric J Thomas
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2012-03       Impact factor: 5.747

10.  Nursing Unit Communication During a US Public Health Emergency: Natural Experiment.

Authors:  Marge Benham-Hutchins; Kathleen M Carley; Barbara B Brewer; Judith A Effken; Jeffrey Reminga
Journal:  JMIR Nurs       Date:  2018-12-06
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