Literature DB >> 20924254

A baseline study of communication networks related to evidence-based infection prevention practices in an intensive care unit.

Pavani Rangachari1, Peter Rissing, Peggy Wagner, Karl Rethemeyer, Chitra Mani, Cyndra Bystrom, Thomas Dillard, Donna Goins, Wanda Gillespie.   

Abstract

This study seeks to gain a baseline understanding of the communication network structure, content of communication, and outcomes in a medical intensive care unit experiencing higher-than-expected central line blood stream infection (CLBSI) rates. The communication network structure refers to the direction and frequency of communication on evidence-based CLBSI prevention practices across various professional subgroups and hierarchical levels in the unit, including medical faculty, nurses, residents, students, unit managers, and hospital administrators. The content of communication refers to the type of knowledge (ie, tacit vs explicit knowledge) exchanged on CLBSI prevention practices. Outcomes include (1) compliance with CLBSI prevention practices and (2) hospital-acquired CLBSI rates in the unit. Data on communication network structure and content of communication are collected using communication logs completed weekly for 4 weeks, by individual participants in each professional subgroup and hierarchical level. Outcomes are collected weekly through chart (medical record) review. Study results indicate a sparse communication network structure with minimal interaction across professional subgroups and hierarchical levels. They also indicate that primarily explicit knowledge on general infection topics is being exchanged as against tacit knowledge on specific infection prevention practices. Unit outcomes are poor, with the central line bundle score at zero during all 4 weeks. The study represents an original attempt at developing methods for measuring the communication network structure related to evidence-based infection prevention practices at the unit level. It lays a foundation for testing hypotheses related to effective communication network structures for hospital infection prevention in a larger study. More significantly, the study lays a foundation for generating concrete and context-sensitive strategies for organizational learning and improvement in the context of evidence-based practices. Such insight is critical from the perspective of evidence-based health care management.

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Year:  2010        PMID: 20924254     DOI: 10.1097/QMH.0b013e3181fa36a4

Source DB:  PubMed          Journal:  Qual Manag Health Care        ISSN: 1063-8628            Impact factor:   0.926


  6 in total

1.  An exploratory study of networks constructed using access data from an electronic health record.

Authors:  Nengliang Yao; Xi Zhu; Alan Dow; Vimal K Mishra; Allison Phillips; Shin-Ping Tu
Journal:  J Interprof Care       Date:  2018-07-17       Impact factor: 2.338

Review 2.  Social network analysis in healthcare settings: a systematic scoping review.

Authors:  Duncan Chambers; Paul Wilson; Carl Thompson; Melissa Harden
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

Review 3.  How Health Care Professionals Use Social Media to Create Virtual Communities: An Integrative Review.

Authors:  Kaye Rolls; Margaret Hansen; Debra Jackson; Doug Elliott
Journal:  J Med Internet Res       Date:  2016-06-16       Impact factor: 5.428

4.  Why Health Care Professionals Belong to an Intensive Care Virtual Community: Qualitative Study.

Authors:  Kaye Denise Rolls; Margaret Mary Hansen; Debra Jackson; Doug Elliott
Journal:  J Med Internet Res       Date:  2019-11-05       Impact factor: 5.428

5.  The role of knowledge, risk perceptions, and cues to action among Iranian women concerning cervical cancer and screening: a qualitative exploration.

Authors:  Rahim Taghizadeh Asl; Liesbeth Van Osch; Nanne De Vries; Kazem Zendehdel; Mohsen Shams; Fatemeh Zarei; Hein De Vries
Journal:  BMC Public Health       Date:  2020-11-11       Impact factor: 3.295

6.  Exploring the structure of social media application-based information-sharing clinical networks in a community in Japan using a social network analysis approach.

Authors:  Junji Haruta; Sho Tsugawa; Kazunari Ogura
Journal:  Fam Med Community Health       Date:  2020-09
  6 in total

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