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Researching nurses' use of digital technology during the COVID-19 pandemic.
Dowding, Dawn; Skyrme, Sarah; Randell, Rebecca; Newbould, Louise; Faisal, Muhammad; Hardiker, Nick.
  • Dowding D; Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, England.
  • Skyrme S; Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, England.
  • Randell R; faculty of health studies, University of Bradford, Bradford, England.
  • Newbould L; Department For Social Policy And Social Work, University of York, York, England.
  • Faisal M; Faculty of Health Studies, University of Bradford, Bradford, England.
  • Hardiker N; School of Human And Health Sciences, University of Huddersfield, Huddersfield, England.
Nurs Stand ; 38(7): 63-68, 2023 Jul 05.
Article in English | MEDLINE | ID: covidwho-2314204
ABSTRACT
The adoption of digital technology by nurses accelerated during the coronavirus disease 2019 (COVID-19) pandemic. However, not all nurses were familiar with the various digital systems used in their organisations and there were reports of digital technology not being fit for purpose. This article describes a service evaluation that used an online survey to obtain nurses' feedback on the digital systems used to support patient care during the pandemic. Fifty-five respondents provided details about 85 separate digital systems. The usability of these systems varied significantly across technology types, while barriers to their use included nurses' lack of digital literacy and inadequate access to IT infrastructure. However, most of the nurse respondents felt that digital technology had supported effective patient care during the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nurses Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Nurs Stand Journal subject: Nursing Year: 2023 Document Type: Article Affiliation country: Ns.2023.e12013

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nurses Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Nurs Stand Journal subject: Nursing Year: 2023 Document Type: Article Affiliation country: Ns.2023.e12013