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Self-Service System for the Family Members of ICU Patients: A Pilot Study.
Chang, I-Chiu; Hou, Ying-Hui; Lu, Li-Jung; Tung, Yu-Chen.
Afiliação
  • Chang IC; Department of Information Management, National Chung Cheng University, Chiayi 62102, Taiwan.
  • Hou YH; Department of Health Industry Management, Kainan University, Taoyuan 33857, Taiwan.
  • Lu LJ; Department of Information Management, National Chung Cheng University, Chiayi 62102, Taiwan.
  • Tung YC; Department of Nursing, Yuan's General Hospital, Kaohsiung 802635, Taiwan.
Healthcare (Basel) ; 10(3)2022 Mar 02.
Article em En | MEDLINE | ID: mdl-35326945
ABSTRACT
Family members of intensive care unit patients are often experience high anxiety and require more information about the patients. However, most Taiwanese healthcare institutions currently face manpower shortages due to the COVID-19 pandemic. Therefore, the task of providing additional services to meet family members' needs and relieve their stress was deferred by some healthcare institutions. The self-service system, known to be effective and efficient in other industries, was recommended for use in the healthcare industry. This study aims to explore an intensive care unit self-service system (ICU-SSS) designed for the family members of ICU patients. This study investigates the feasibility of the system by following a mixed method approach, including qualitative interviews and a quantitative survey. Firstly, interviews with five family members and five ICU staff members of a case hospital were conducted to identify the need to develop an ICU-SSS for the family member. Secondly, a survey was completed by 30 family members to evaluate the system. The interview results reveal nine categories of family members' needs and the survey results show that the ICU family members assigned acceptable scores to all the ICU-SSS functions, except the importance of "Logistical information". Based on these findings, the scientific and practical implications are discussed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article