TY - JOUR
T1 - Doctors’ alertness, contentedness and calmness before and after night shifts
T2 - a latent profile analysis
AU - Debets, Maarten P. M.
AU - Tummers, Fokkedien H. M. P.
AU - Silkens, Milou E. W. M.
AU - Huizinga, Coen R. H.
AU - Lombarts, Kiki M. J. M. H.
AU - van der Bogt, Koen E. A.
N1 - Funding Information: This project was supported with grants by the Stichting Kwaliteitsgelden Medisch Specialisten and the Scientific Committee of the Haaglanden Medical Centre. The funder had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. Funding Information: On behalf of the Fit to Perform collaborators. The Fit to Perform collaborators include the following: Koen E.A. van der Bogt, Department of Surgery, Haaglanden Medical Centre, The Hague, Netherlands, and Department of Surgery, Leiden University Medical Centre, Leiden, Netherlands; Hein B.A.C. Stockmann, Department of Surgery, Spaarne Gasthuis, Haarlem, Netherlands; Adam F. Cohen, Centre for Human Drug Research, Leiden, Netherlands; Mariëlle G. van Pampus and E. Moll, Department of Obstetrics and Gyneacology, Onze Lieve Vrouwe Gasthuis, Amsterdam, Netherlands; C.J. van Oort, Department of Anaesthesiology, Ikazia Hospital, Rotterdam, Netherlands; Frank Willem Jansen, Department of Gyneacology, Leiden University Medical Center, Leiden, Netherlands, and Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands; Bart W.J. Hellebrekers, Department of Obstetrics and Gyneacology, Haga Hospital, The Hague, Netherlands. Legemate D.A., Department of Surgery, Amsterdam University Medical Centre, Amsterdam, Toorenvliet B.R., Department of Surgery, Ikazia Hospital, Rotterdam, Wever J.J., Department of Surgery, Haga Hospital, The Hague, Lijkwan M.A., Department of Surgery, Albert Schweizer Hospital, Dordrecht, The Netherlands Publisher Copyright: © 2023, BioMed Central Ltd., part of Springer Nature.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Background: While night shifts are crucial for patient care, they threaten doctors’ well-being and performance. Knowledge of how the impact of night shifts differs for doctors is needed to attenuate the adverse effects of night shifts. This study aimed to obtain more precise insight into doctors’ feelings surrounding night shift by: identifying profiles based on doctors’ alertness, contentedness and calmness scores before and after night shifts (research question (RQ) 1); assessing how doctors’ pre- and post-shift profiles change (RQ2); and determining associations of doctors’ demographics and shift circumstances with alertness, contentedness and calmness change (RQ3). Methods: Latent Profile Analysis using doctors’ pre- and post-shift self-rated alertness, contentedness and calmness scores was employed to identify pre- and post-shift profiles (RQ1). A cross-tabulation revealed pre- and post-shift profile changes (RQ2). Multiple regressions determined associations of demographics (i.e. age, sex, specialty) and night shift circumstances (i.e. hours worked pre-call, hours awake pre-call, shift duration, number of consecutive shifts, total hours of sleep) with alertness, contentedness and calmness change (RQ3). Results: In total, 211 doctors participated with a mean age of 39.8 ± 10 years; 47.4% was male. The participants included consultants (46.4%) and trainees (53.6%) of the specialties surgery (64.5%) and obstetrics/gynaecology (35.5%). Three pre-shift (Indifferent, Ready, Engaged) and four post-shift profiles (Lethargic, Tired but satisfied, Excited, Mindful) were found. Most doctors changed from Ready to Tired but satisfied, with alertness reducing most. Age, specialty, sleep, shift duration and the number of consecutive shifts associated with alertness, contentedness and calmness changes. Conclusions: The results provided nuanced insight into doctors’ feelings before and after night shifts. Future research may assess whether specific subgroups benefit from tailored interventions.
AB - Background: While night shifts are crucial for patient care, they threaten doctors’ well-being and performance. Knowledge of how the impact of night shifts differs for doctors is needed to attenuate the adverse effects of night shifts. This study aimed to obtain more precise insight into doctors’ feelings surrounding night shift by: identifying profiles based on doctors’ alertness, contentedness and calmness scores before and after night shifts (research question (RQ) 1); assessing how doctors’ pre- and post-shift profiles change (RQ2); and determining associations of doctors’ demographics and shift circumstances with alertness, contentedness and calmness change (RQ3). Methods: Latent Profile Analysis using doctors’ pre- and post-shift self-rated alertness, contentedness and calmness scores was employed to identify pre- and post-shift profiles (RQ1). A cross-tabulation revealed pre- and post-shift profile changes (RQ2). Multiple regressions determined associations of demographics (i.e. age, sex, specialty) and night shift circumstances (i.e. hours worked pre-call, hours awake pre-call, shift duration, number of consecutive shifts, total hours of sleep) with alertness, contentedness and calmness change (RQ3). Results: In total, 211 doctors participated with a mean age of 39.8 ± 10 years; 47.4% was male. The participants included consultants (46.4%) and trainees (53.6%) of the specialties surgery (64.5%) and obstetrics/gynaecology (35.5%). Three pre-shift (Indifferent, Ready, Engaged) and four post-shift profiles (Lethargic, Tired but satisfied, Excited, Mindful) were found. Most doctors changed from Ready to Tired but satisfied, with alertness reducing most. Age, specialty, sleep, shift duration and the number of consecutive shifts associated with alertness, contentedness and calmness changes. Conclusions: The results provided nuanced insight into doctors’ feelings before and after night shifts. Future research may assess whether specific subgroups benefit from tailored interventions.
KW - Doctors
KW - Latent profile analysis
KW - Night shifts
KW - Performance
KW - Well-being
UR - http://www.scopus.com/inward/record.url?scp=85168458997&partnerID=8YFLogxK
U2 - https://doi.org/10.1186/s12960-023-00855-z
DO - https://doi.org/10.1186/s12960-023-00855-z
M3 - Article
C2 - 37605244
SN - 1478-4491
VL - 21
JO - Human Resources for Health
JF - Human Resources for Health
IS - 1
M1 - 68
ER -