Literature DB >> 28328388

Bedside Critical Care Staff Use of Intensive Care Unit Telemedicine: Comparisons by Intensive Care Unit Complexity.

Jonathan T Thomas1, Jane Moeckli1,2, Michelle A Mengeling1,2,3, Cassie Cunningham Goedken1,2, Jacinda Bunch4, Peter Cram5, Heather Schacht Reisinger1,2,3.   

Abstract

BACKGROUND: Effects of Intensive Care Unit (ICU) telemedicine on patient and staff outcomes are mixed. Variation in utilization is potentially driving these differences.
INTRODUCTION: ICU telemedicine utilization is understudied, with existing research focusing on telemedicine staff. We assess ICU telemedicine utilization from the perspective of the end user-ICU staff-to better understand how telemedicine use is conceptualized and practiced at the bedside.
MATERIALS AND METHODS: We conducted a thematic content analysis of semistructured interviews with bedside ICU staff. Staff were interviewed at seven ICUs in six Veterans Health Administration facilities, representing varying ICU complexities and points in time (2 and 12 months postimplementation of ICU telemedicine).
RESULTS: Fifty-eight bedside ICU staff described instances of telemedicine use, which were categorized into three types: Urgent ICU Patient Care, Clinical Decision-Making and Support, and General ICU Patient Care. The most commonly described use was General ICU Patient Care and the least common was Urgent ICU Patient Care. ICU staff from lower complexity ICUs had fewer descriptions of use compared to staff at higher complexity ICUs. At 12 months postimplementation, staff recounted more instances of all three utilization types. DISCUSSION: It is important to understand how telemedicine is being used within ICUs to evaluate its impact. The presence of three types of use, variability in use by ICU complexity, and change in use over time suggest the need for comprehensive measures of utilization to evaluate effectiveness.
CONCLUSIONS: ICU telemedicine needs to develop an agreed upon typology for documenting ICU telemedicine utilization and incorporate these measures into models of its effect on clinical outcomes.

Entities:  

Keywords:  information management; policy; technology; telemedicine

Mesh:

Year:  2017        PMID: 28328388     DOI: 10.1089/tmj.2016.0243

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  8 in total

Review 1.  Telemedicine Coverage of Intensive Care Units: A Narrative Review.

Authors:  Kelly C Vranas; Christopher G Slatore; Meeta Prasad Kerlin
Journal:  Ann Am Thorac Soc       Date:  2018-11

Review 2.  Telemedicine/Virtual ICU: Where Are We and Where Are We Going?

Authors:  Chiedozie Udeh; Belinda Udeh; Nadeem Rahman; Christina Canfield; Jack Campbell; J Steven Hata
Journal:  Methodist Debakey Cardiovasc J       Date:  2018 Apr-Jun

Review 3.  Telehealth for people with spinal cord injury: a narrative review.

Authors:  I Irgens; T Rekand; M Arora; N Liu; R Marshall; F Biering-Sørensen; M Alexander
Journal:  Spinal Cord       Date:  2018-03-07       Impact factor: 2.772

4.  Healthcare stakeholders' perceptions and experiences of factors affecting the implementation of critical care telemedicine (CCT): qualitative evidence synthesis.

Authors:  Andreas Xyrichis; Katerina Iliopoulou; Nicola J Mackintosh; Suzanne Bench; Marius Terblanche; Julia Philippou; Jane Sandall
Journal:  Cochrane Database Syst Rev       Date:  2021-02-18

5.  Optimizing Tele-ICU Operational Efficiency Through Workflow Process Modeling and Restructuring.

Authors:  Christian D Becker; Muer Yang; Mario Fusaro; Michael Fry; Corey S Scurlock
Journal:  Crit Care Explor       Date:  2019-12-10

6.  Tele-ICUs for COVID-19: A Look at National Prevalence and Characteristics of Hospitals Providing Teleintensive Care.

Authors:  Dunc Williams; John Lawrence; Young-Rock Hong; Aaron Winn
Journal:  J Rural Health       Date:  2020-10-08       Impact factor: 4.333

7.  Communication and role clarity inform TeleICU use: a qualitative analysis of opportunities and barriers in an established program using AACN framework.

Authors:  Anna Krupp; Michael Di Martino; Wesley Chung; Krisda Chaiyachati; Anish K Agarwal; Ann Marie Huffenberger; Krzysztof Laudanski
Journal:  BMC Health Serv Res       Date:  2021-03-25       Impact factor: 2.655

8.  Videoconferencing in Pressure Injury: Randomized Controlled Telemedicine Trial in Patients With Spinal Cord Injury.

Authors:  Ingebjørg Irgens; Jana Midelfart-Hoff; Rolf Jelnes; Marcalee Alexander; Johan Kvalvik Stanghelle; Magne Thoresen; Tiina Rekand
Journal:  JMIR Form Res       Date:  2022-04-19
  8 in total

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