TICU-Feedback-Tool: development and pilot application of a questionnaire to assess performance in tele-intensive care collaborations.

Franziska Lezius, Karin Steinecke, Anne Herholz, Stephen Sch����rhuis, Andreas Edel, Michaela Niebank, Nicolai Andrees, Claudia D Spies, Bj��rn Weiss, U START TICU consensus group
Author Information
  1. Franziska Lezius: Department of Anesthesiology and Intensive Care Medicine, Charit�� - Universit��tsmedizin Berlin, Corporate Member of Freie Universit��t Berlin and Humboldt Universit��t zu Berlin, Augustenburger Platz 1, Berlin, 13353, Germany. franziska.lezius@charite.de.
  2. Karin Steinecke: Department of Anesthesiology and Intensive Care Medicine, Charit�� - Universit��tsmedizin Berlin, Corporate Member of Freie Universit��t Berlin and Humboldt Universit��t zu Berlin, Augustenburger Platz 1, Berlin, 13353, Germany.
  3. Anne Herholz: Department of Anesthesiology and Intensive Care Medicine, Charit�� - Universit��tsmedizin Berlin, Corporate Member of Freie Universit��t Berlin and Humboldt Universit��t zu Berlin, Augustenburger Platz 1, Berlin, 13353, Germany.
  4. Stephen Sch����rhuis: Institute of Biometry and Clinical Epidemiology, Charit�� - Universit��tsmedizin Berlin, Corporate Member of Freie Universit��t Berlin and Humboldt-Universit��t zu Berlin, Berlin, Germany.
  5. Andreas Edel: Department of Anesthesiology and Intensive Care Medicine, Charit�� - Universit��tsmedizin Berlin, Corporate Member of Freie Universit��t Berlin and Humboldt Universit��t zu Berlin, Augustenburger Platz 1, Berlin, 13353, Germany.
  6. Michaela Niebank: Centre for Biological Threats and Special Pathogens (ZBS), Robert Koch Institute, Berlin, Germany.
  7. Nicolai Andrees: Department of Anesthesiology and Intensive Care Medicine, Universit��tsklinikum Ulm, Ulm, Germany.
  8. Claudia D Spies: Department of Anesthesiology and Intensive Care Medicine, Charit�� - Universit��tsmedizin Berlin, Corporate Member of Freie Universit��t Berlin and Humboldt Universit��t zu Berlin, Augustenburger Platz 1, Berlin, 13353, Germany.
  9. Bj��rn Weiss: Department of Anesthesiology and Intensive Care Medicine, Charit�� - Universit��tsmedizin Berlin, Corporate Member of Freie Universit��t Berlin and Humboldt Universit��t zu Berlin, Augustenburger Platz 1, Berlin, 13353, Germany.

Abstract

BACKGROUND: Telemedicine is a suitable vehicle to facilitate collaboration among hospitals across borders, with the COVID-19 pandemic paving the way for rapidly growing tele-intensive care (TICU) networks, aiming to improve quality of care. Hitherto there are no validated instruments to assess and evaluate performance in international TICU collaboration.
METHODS: We conducted a prospective, structured survey development study with a single-step online expert consensus approach and a pilot application.
RESULTS: We propose a 26-indicator TICU-Feedback-Tool assessing user-friendliness, subjective benefit and usability, acceptance and potential for improvement in TICU networks. The instrument is suitable for self-reporting by online questionnaire.
CONCLUSION: We suggest a pilot version of a feedback questionnaire for quality management in (inter-)national TICU networks that will be subject to revisions in the future.

Keywords

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MeSH Term

Humans
COVID-19
Pilot Projects
Telemedicine
Surveys and Questionnaires
Prospective Studies
Critical Care
SARS-CoV-2
Feedback
Pandemics
Intensive Care Units

Word Cloud

Created with Highcharts 10.0.0careTICUnetworkspilotquestionnaireTelemedicinesuitablecollaborationtele-intensivequalityassessperformancedevelopmentonlineapplicationBACKGROUND:vehiclefacilitateamonghospitalsacrossbordersCOVID-19pandemicpavingwayrapidlygrowingaimingimproveHithertovalidatedinstrumentsevaluateinternationalMETHODS:conductedprospectivestructuredsurveystudysingle-stepexpertconsensusapproachRESULTS:propose26-indicatorTICU-Feedback-Toolassessinguser-friendlinesssubjectivebenefitusabilityacceptancepotentialimprovementinstrumentself-reportingCONCLUSION:suggestversionfeedbackmanagementinter-nationalwillsubjectrevisionsfutureTICU-Feedback-Tool:collaborationsFeedbackIntensiveunitQuality

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