Correction

This article refers to:

Are Short Duration Naps Better than Long Duration Naps for Mitigating Sleep Inertia? Brief Report of a Randomized Crossover Trial of Simulated Night Shift Work

Effect of Short versus Long Duration Naps on Blood Pressure during Simulated Night Shift Work: A Randomized Crossover Trial

Article title: Are Short Duration Naps Better than Long Duration Naps for Mitigating Sleep Inertia? Brief Report of a Randomized Crossover Trial of Simulated Night Shift Work

Authors: P. Daniel Patterson, Tiffany S. Okerman, David G. L. Roach, Cassie J. Hilditch, Matthew D. Weaver, Charity G. Patterson, Mark A. Sheffield, Jillian S. Di Salvatore, Haley Bernstein, George Georges, April Andreozzi, Cameron M. Willson, Disha Jain, Sarah E. Martin, and Leonard S. Weiss

Journal: Prehospital Emergency Care

Bibliometrics: Volume 27, Number 6, pages 807–814

DOI: http://dx.doi.org/10.1080/10903127.2023.2227696

Article title: Effect of Short versus Long Duration Naps on Blood Pressure during Simulated Night Shift Work: A Randomized Crossover Trial

Authors: P. Daniel Patterson, Tiffany S. Okerman, David G. L. Roach, Matthew D. Weaver, Charity G. Patterson, Sarah E. Martin, Nicholas Okwiya, Lily Nong, Chinemeh Eyiba, Jordan R. Huff, Anna Ruzicka, JuliaRuggieri, Quentin McIlvaine, and Leonard S. Weiss

Journal: Prehospital Emergency Care

Bibliometrics: Volume 27, Number 6, pages 815–824

DOI: http://dx.doi.org/10.1080/10903127.2023.2227891

When the above articles were first published online, the participant demographics table (Table 1) contained an error in the mean Pittsburgh Sleep Quality Index (PSQI) score and corresponding proportion with poor sleep (PSQI > 5). A coding error was discovered in the calculation of sleep efficiency, which is one of seven components of the total PSQI score. The error inflated the mean PSQI score and proportion with poor sleep. The correct mean (SD) PSQI score is 6.5 (2.2) and the correct proportion with poor sleep is 64.3% (n = 18 out of 28). The mean PSQI score and proportion with poor sleep are reported as demographic variables and are not involved in analyses of primary or secondary outcomes.

The correct table can be found below:

Table 1. Participant demographic, employment, and health characteristics.

Variable	Frequency (%) Mean (SD)
Total consented	28 (100%)
Female	15 (53.6%)
Age in years	24.4 (7.2)
Certification / license
EMT or paramedic	24 (85.7%)
Nurse	1 (3.6%)
Other	3 (10.7%)
Where do most work as EMS clinician
Air-medical based EMS or hospital ED	1 (3.6%)
Ground-based EMS	22 (78.6%)
Hospital ICU or other	5 (17.9%)
Work multiple jobs	13 (46.4%)
Years of experience in EMS/health care	4.1 (4.0)
Employment status
Full-time	8 (28.6%)
Part-time	20 (71.4%)
Type of shift most commonly worked
24-hr	2 (7.1%)
12-hr	15 (53.6%)
8-hr	6 (21.4%)
Other (e.g., 16-hr or multiple durations)	5 (17.9%)
Health status
Excellent/good	28 (100%)
Fair/poor	0 (0%)
Typically nap during shifts (Yes)	12 (42.9%)
Pittsburgh Sleep Quality Index (PSQI)	6.5 (2.2)
% with poor sleep (PSQI >5)	18 (64.3%)
Epworth Sleepiness Scale (ESS)	6.3 (2.4)
% with excessive sleepiness (ESS >9)	2 (7.1%)
Chalder Fatigue Questionnaire (CFQ)	3.2 (1.8)
% fatigued (CFQ ≥4)	13 (46.4%)
Schedule Attitudes Survey (SAS) score^	42.5 (15.4)

Notes: EMS = emergency medical services. EMT = emergency medical technician. ICU = intensive care unit. ^Higher Schedule Attitudes Survey scores (range 0-100) indicate greater dissatisfaction with work schedule.

The authors apologize for the error and any inconvenience this may have caused. The error was isolated and does not affect primary or secondary outcomes or interpretation of results, and conclusions are unaffected.

The online version has been corrected.