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Apples in Night Shift 60 Randomized Open-Label
Clinical Trial NCT06714422 is an interventional study for Night Work and is currently not yet recruiting. Enrollment is planned to begin on January 1, 2025 and continue until the study accrues 60 participants. Led by Peking University Third Hospital, this study is expected to complete by April 1, 2025. The latest data from ClinicalTrials.gov was last updated on December 3, 2024.
Brief Summary
Background: Emergency doctors face a highly stressful work environment during night shifts. Long-term night shift work can lead to sleep deprivation, fatigue accumulation, and disruption of the biological clock, which may affect doctors' work efficiency and physical and mental health. There are various health interventions for night shift doctors, one of which is an interesting practice of carrying an apple as a symb...Show More
Detailed Description
Background: Emergency doctors face a highly stressful work environment during night shifts. Long-term night shift work can lead to sleep deprivation, fatigue accumulation, and disruption of the biological clock, which may affect doctors' work efficiency and physical and mental health. There are various health interventions for night shift doctors, one of which is an interesting practice of carrying an apple as a symb...Show More
Official Title
Should Doctors Bring an Apple to Have a More Relaxed Night Shift?: a Single Center, Open Label, Randomized Trial
Conditions
Night WorkOther Study IDs
- APPLE study
NCT ID Number
Start Date (Actual)
2025-01-01
Last Update Posted
2024-12-03
Completion Date (Estimated)
2025-04-01
Enrollment (Estimated)
60
Study Type
Interventional
PHASE
N/A
Status
Not yet recruiting
Keywords
night shift
apple
doctor
emergency department
apple
doctor
emergency department
Primary Purpose
Treatment
Design Allocation
Randomized
Interventional Model
Parallel
Masking
None (Open Label)
Arms / Interventions
| Participant Group/Arm | Intervention/Treatment |
|---|---|
Active Comparatorno apple group No apples during night shift | no apple group No apples during night shift |
Experimentalapple group Doctors will bring apples during night shift | apple group Doctors will bring apples during night shift |
Primary Outcome Measures
Secondary Outcome Measures
| Outcome Measure | Measure Description | Time Frame |
|---|---|---|
number of patients | Number of patients during the night shift | from 5pm on the Randomization day to 8am on the next day |
| Outcome Measure | Measure Description | Time Frame |
|---|---|---|
Evaluation of night shifts | Overall evaluation of night shifts by doctors (Good, Average, Poor) | from 5pm on the Randomization day to 8am on the next day |
Emergency admissions | Admissions of emergency patients during the night shift randomized. | from 5pm on the Randomization day to 8am on the next day |
Emergency surgery number | Number of patients who experience emergency surgery during the night shift. | from 5pm on the Randomization day to 8am on the next day |
Emergency uterine evacuation number | Number of patients who need emergency uterine evacuation during the night shift. | from 5pm on the Randomization day to 8am on the next day |
Complicated patients number | The number of patients needs to be checked by a senior doctor | from 5pm on the Randomization day to 8am on the next day |
Doctor's break time | The time (hours) of the doctor's break. | from 5pm on the Randomization day to 8am on the next day |
Number of patients admitted to emergency room | The number of people who need to be admitted to the emergency room | from 5pm on the Randomization day to 8am on the next day |
Participation Assistant
Eligibility Criteria
Eligible Ages
Adult
Minimum Age
20 Years
Eligible Sexes
All
Accepts Healthy Volunteers
Yes
Doctors who have a night shift in the emergency department of gynaecology with at least two weeks experience.
Doctors who refuse to join the study
Peking University Third HospitalStudy Responsible Party
Li Rong, Principal Investigator, Professor, Peking University Third Hospital
Study Central Contact
Contact: Kai-Lun Hu, MD, 86-15901575271, [email protected]
No location data.