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Effects of Full-Time Hospital Nurses' Work Schedules are Evaluated

Bibliographic Data

ID22357012
AuthorsATEF EID MADKOUR ELSAYED (King Abdulaziz Hospital), Awatif saleem saeed Alzahrani (Maternity and Children's Hospital), Najla farouq Alnajjar (Herman Miller (United States)), Nora Yahya Kariri (Maternity and Children's Hospital), Majdah Farooq Alnjaar (King Fahad Hospital Jeddah), Najat Abdull Aziz Hassan (Oberthur Technologies (France)), Wejdan Talea ALSHAHRAN (Maternity and Children's Hospital), Najwa Yahya Kariri (Maternity and Children's Hospital), Aisha Mansi Alotaibi (King Fahad Hospital Jeddah), Nadia Sharif (0000-0001-9961-515X, Centre for Nursing Innovation), Nayef Ayed Faleh Al Sharif, Sami Turki Eidhah Altharmani (Royal College of Nursing), Nada maqbul saleh alsufyni (University of Nursing Mandalay), Zainab Abbas Ali Mushaigri (Primary HealthCare)
Year2024
Volume3
Issue8
Publication date2024-12-31
Open AccessYes
TypeARTICLE
VenueJournal of Ecohumanism (JOURNAL)
Journal identifiersISSN: 2752-6798 • E-ISSN: 2752-6801
PublisherCreative Publishing House (PUBLISHER • GB)
DOI10.62754/joe.v3i8.6186
OpenAlexW4407075571
LanguageEN

Background: Nurses’ work schedules are known to impact their well-being and job performance. pandemic further intensified the workload and stress levels of hospital nurses, leading to potential changes in their work schedules and conditions. This study aimed to evaluate and compare the work schedules of full-time hospital nurses before and during the pandemic, focusing on shift patterns, working hours, and related factors. Methods: This study was conducted at a regional secondary care hospital. Work schedule data were collected from handwritten records and analyzed using IBM SPSS Statistics 26.0. The study included 24 nurses who met the inclusion criteria. Descriptive statistics, repeated measures t-tests, and independent t-tests were used to compare variables such as shift length, number of workdays, consecutive shifts, and sick leave. Statistical significance was set at p

Engineering · Medicine · Nursing · Psychology · Scheduling and Timetabling Solutions · Mechanical Engineering

Highly citedNo

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