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A Survey of Tele-Critical Care State and Needs in 2019 and 2020 Conducted among the Members of the Society of Critical Care Medicine.
Laudanski, Krzysztof; Scruth, Elizabeth; Winterbottom, Fiona; Rastrepo, Mariana; Dugar, Siddharth; Herasevich, Vitaly; Villanueva, Israel; Armaignac, Donna Lee; Scott, Benjamin K.
  • Laudanski K; Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Scruth E; Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Winterbottom F; Department of Quality, Data Analytics and Tele-Critical Care, Kaiser Permanente Northern California, Oakland, CA 94612, USA.
  • Rastrepo M; Critical Care Medicine, Ochsner Health, New Orleans, LA 70121, USA.
  • Dugar S; College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Herasevich V; Department of Critical Care, Respiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
  • Villanueva I; College of Medicine, Lerner School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Armaignac DL; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN 55902, USA.
  • Scott BK; Intercept Telemed, Inc., Weston, FL 33326, USA.
Healthcare (Basel) ; 10(8)2022 Aug 01.
Article in English | MEDLINE | ID: covidwho-1969177
ABSTRACT
The study's objective was to assess facilitators and barriers of Tele-Critical Care (TCC) perceived by SCCM members. By utilizing a survey distributed to SCCM members, a cross-sectional study was developed to analyze survey results from December 2019 and July 2020. SCCM members responded to the survey (n = 15,502) with a 1.9% response rate for the first distribution and a 2.54% response rate for the second survey (n = 9985). Participants (n = 286 and n = 254) were almost equally distributed between non-users, providers, users, and potential users of TCC services. The care delivery models for TCC were similar across most participants. Some consumers of TCC services preferred algorithmic coverage and scheduled rounds, while reactive and on-demand models were less utilized. The surveys revealed that outcome-driven measures were the principal form of TCC performance evaluation. A 1100 (provider patients) ratio was reported to be optimal. Factors related to costs, perceived lack of need for services, and workflow challenges were described by those who terminated TCC services. Barriers to implementation revolved around lack of reimbursement and adequate training. Interpersonal communication was identified as an essential TCC provider skill. The second survey introduced after the onset pandemic demonstrated more frequent use of advanced practice providers and focus on performance measures. Priorities for effective TCC deployment include communication, knowledge, optimal operationalization, and outcomes measurement at the organizational level. The potential effect of COVID-19 during the early stages of the pandemic on survey responses was limited and focused on the need to demonstrate TCC value.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Healthcare10081445

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Healthcare10081445