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Nurses' Perceptions About Smart Beds in Hospitals.
Tak, Sunghee H; Choi, Hyein; Lee, Dayeon; Song, Young Ae; Park, Jiyeon.
Afiliação
  • Tak SH; Author Affiliations: Research Institute of Nursing Science (Dr Tak), College of Nursing, Seoul National University (Ms Choi, Ms Lee); and Department of Nursing, Seoul National University Bundang Hospital (Ms Song, Ms Park), South Korea.
Comput Inform Nurs ; 41(6): 394-401, 2023 Jun 01.
Article em En | MEDLINE | ID: mdl-36071665
ABSTRACT
The purpose of this study was to examine nurses' perceptions of the smart mattress equipped with Internet of things, which are incorporated into patients' beds. In addition, their concerns and suggestions about smart mattress were explored. A total of 349 nurses in a tertiary hospital participated in a cross-sectional survey. Data were collected using questionnaires. Descriptive statistical analysis was used for survey data, whereas content analysis was used for qualitative data from open-ended questions. The participants' intention to accept the smart mattresses was 12.5 (SD, 1.73) on average, indicating a high level of acceptance. The participants expected the smart mattresses to decrease their physical work burden, improve work efficiency, and prevent pressure ulcers. However, they were concerned about an increase in other aspects of their workload and in patient safety problems due to false alarms, inaccuracies, and malfunctions of the device. Nurses suggested various features that can be integrated into smart mattress. It is critical to address nurses' perceptions, expectations, and concerns during the conceptual and developmental stage of new technology in order to improve the usability, acceptance, and adoption of smart mattresses and other new innovations in hospital settings.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Segurança do Paciente / Enfermeiras e Enfermeiros Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Segurança do Paciente / Enfermeiras e Enfermeiros Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article