| Literature DB >> 35228827 |
Yasser A Alaska1, Bader AlYahya1, Lama AlFakhri1, Bader AlHarbi1, Faisal Alkattan2, Rami Mohammad Alhayaza2.
Abstract
PURPOSE: This study aimed to investigate the perceptions and habits of different emergency department (ED) workers (nurses, residents, and attending physicians) and their pre- or post-shift routines. The study also examined the effect of night shifts on personal life, social life, and health. PATIENTS AND METHODS: An anonymous, online, cross-sectional, multiple-choice, self-rating (5-point Likert scale) survey was administered to the participants. All analyses were performed using the SPSS version 22.0. Ethical approval was obtained from the Institutional Review Board (IRB) of King Saud University Medical City (KSUMC) in Riyadh, Saudi Arabia.Entities:
Keywords: Riyadh; attending physicians; emergency department; night shifts; nurses; residents
Year: 2022 PMID: 35228827 PMCID: PMC8881674 DOI: 10.2147/AMEP.S339063
Source DB: PubMed Journal: Adv Med Educ Pract ISSN: 1179-7258
Demographics and Sleep Aids
| Survey Question* | Nurses (n= 33) | Residents (n= 51) | Attending Physicians (n= 39) | P-value | |
|---|---|---|---|---|---|
| 1 | Age (yr) | 33.0 (29.0–40.0) | 26.0 (26.0–27.0) | 36.0 (33.0–53.0) | < 0.001a) |
| 2 | Female | 31 (93.9%, 80.4–98.3) | 14 (27.5%, 17.1–41.0) | 5 (12.8%, 5.6–26.7) | < 0.001b) |
| 3 | The majority of my shifts are nights (yes) | 9 (27.3%, 15.1–44.2) | 19 (37.3%, 25.3–51.0) | 18 (46.2%, 31.6–61.4) | 0.256b) |
| 4 | Do you have a pre-night shift routine? (yes) | 19 (57.6%, 40.8–72.8) | 20 (39.2%, 27.0–52.9) | 18 (46.2%, 31.6–61.4) | 0.257b) |
| 5 | Do you use | ||||
| Blackout curtains | 18 (54.5%, 38.0–70.2) | 31 (60.8%, 47.1–73.0) | 31 (79.5%, 64.5–89.2) | 0.121c) | |
| Cold room | 0 | 2 (3.9%, 1.1–13.2) | 0 | – | |
| Dark room | 0 | 0 | 1 (2.6%, 0.5–13.2) | – | |
| Earplugs | 2 (6.1%, 1.7–19.6) | 3 (5.9%, 2.0–15.9) | 4 (10.3%, 4.1–23.6) | 0.717c) | |
| Humidifier | 7 (21.2%, 10.7–37.8) | 2 (3.9%, 1.1–13.2) | 1 (2.6%, 0.5–13.2) | 0.045c) | |
| Background noise | 6 (18.2%, 8.6–34.4) | 10 (19.6%, 11.0–32.5) | 7 (17.9%, 9.0–32.7) | 0.568c) | |
| Sleep mask/blindfold | 0 | 0 | 0 | – | |
| Special pillows (anatomic) | 7 (21.2%, 10.7–37.8) | 3 (5.9%, 2.0–15.9) | 12 (30.8%, 18.6–46.4) | 0.062c) | |
| None | 1 (3.0%, 0.5–15.3) | 9 (17.6%, 9.6–30.3) | 1 (2.6%, 0.5–13.2) | 0.003c) | |
| 6 | Preferred bedroom temperature (°F) | ||||
| 20–25 degrees | 25 (75.8%, 59.0–87.2) | 28 (54.9%, 41.4–67.7) | 21 (53.8%, 38.6–68.4) | 0.255d) | |
| Less than 20 degrees | 7 (21.2%, 10.7–37.8) | 20 (39.2%, 27.0–52.9) | 16 (41.0%, 27.1–56.6) | ||
| More than 25 degrees | 1 (3.0%, 0.5–15.3) | 3 (5.9%, 2.0–15.9) | 1 (2.6%, 0.5–13.2) | ||
| None | 0 | 0 | 1 (2.6%, 0.5–13.2) | ||
| 7 | What pharmacological sleep aid do you use consistently before a night shift? | ||||
| Antihistamine | 1 (3.0%, 0.5–15.3) | 0 | 2 (5.1%, 1.4–16.9) | 0.363d) | |
| Melatonin | 0 | 2 (3.9%, 1.1–13.2) | 2 (5.1%, 1.4–16.9) | ||
| Melatonin & antihistamine | 1 (3.0%, 0.5–15.3) | 1 (2.0%, 0.4–10.3) | 3 (7.7%, 2.7–20.3) | ||
| Paracetamol & caffeine | 0 | 2 (3.9%, 1.1–13.2) | 0 | ||
| None | 31 (93.9%, 80.4–98.3) | 46 (90.2%, 79.0–95.7) | 32 (82.1%, 67.3–91.0) | ||
| 8 | What sleep aids have you tried? | ||||
| Medication combination | 1 (3.0%, 0.5–15.3) | 5 (9.8%, 4.3–21.0) | 11 (28.2%, 16.5, 43.8) | < 0.001d) | |
| Alcohol | 0 | 1 (2.0%, 0.4–10.3) | 0 | ||
| Antihistamine | 9 (27.3%, 15.1–44.2) | 2 (3.9%, 1.1–13.2) | 2 (5.1%, 1.4–16.9) | ||
| Benzodiazepine | 0 | 0 | 0 | ||
| Melatonin | 0 | 8 (15.7%, 8.2–28.0) | 2 (5.1%, 1.4–16.9) | ||
| None | 23 (69.7%, 52.7–82.6) | 35 (68.6%, 55.0–79.7) | 24 (61.5%, 45.9–75.1) | ||
Notes: a)Kruskal–Wallis (median and interquartile range given), b)chi-square test of independence, c)chi-square goodness-of-fit test, d)Fisher’s exact test. *Survey questions adapted from: Richards JR, Stayton TL, Wells JA, Parikh AK, Laurin EG Night shift preparation, performance, and perception: are there differences between emergency medicine nurses, residents, and faculty? Clin Exp Emerg Med. 2018;5(4):240–248. doi: 10.15441/ceem.17.270.10.10 Copyright © 2018 The Korean Society of Emergency Medicine. Creative Commons Attribution Non-Commercial License ().
Meals, Beverages, Fatigue and Sleep
| Survey Question* | Nurses (n= 33) | Residents (n= 51) | Attending Physicians (n= 39) | P-value | |
|---|---|---|---|---|---|
| 1 | Do you eat just before going to sleep? | ||||
| None | 6 (18.2%, 8.6–34.4) | 14 (27.5%, 17.1–41.0) | 8 (20.5%, 10.8–35.5) | 0.096a) | |
| Regular meal | 8 (24.2%, 12.8–41.0) | 20 (39.2%, 27.0–52.9) | 10 (25.6%, 14.6–41.1) | ||
| Small meal | 14 (42.4%, 27.2–59.2) | 10 (19.6%, 11.0–32.5) | 9 (23.1%, 12.7–38.3) | ||
| Snack | 5 (15.2%, 6.7–30.9) | 7 (13.7%, 6.8–25.7) | 12 (30.8%, 18.6–46.4) | ||
| 2 | Stimulant preference before/during a night shift | ||||
| None | 2 (6.1%, 1.7–19.6) | 4 (7.8%, 3.1–18.5) | 6 (15.4%, 7.3–29.7) | 0.032b) | |
| Coffee | 18 (54.5%, 38.0–70.2) | 39 (76.5%, 63.2–86.0) | 23 (59.0%, 43.4–72.9) | ||
| Combination | 2 (6.1%, 1.7–19.6) | 5 (9.8%, 4.3–21.0) | 5 (12.8%, 5.6–26.7) | ||
| Energy Drink | 0 | 0 | 0 | ||
| Tea | 11 (33.3%, 19.8–50.4) | 3 (5.9%, 2.0–15.9) | 5 (12.8%, 5.6–26.7) | ||
| 3 | Despite these preparations, do you consistently experience fatigue during a night shift? | ||||
| Yes | 12 (36.4%, 22.2–53.4) | 9 (17.6%, 9.6–30.3) | 13 (33.3%, 20.6–49.0) | 0.058a) | |
| No | 3 (9.1%, 3.1–23.6) | 17 (33.3%, 22.0–47.0) | 7 (17.9%, 9.0–32.7) | ||
| Sometimes | 18 (54.5%, 38.0–70.2) | 25 (49.0%, 35.9–62.3) | 19 (48.7%, 33.9–63.8) | ||
| 4 | When is your energy level lowest? | ||||
| 2 hours after the shift starts | 2 (6.1%, 1.7–19.6) | 2 (3.9%, 1.1–13.2) | 1 (2.6%, 0.5–13.2) | 0.461b) | |
| 4 hours after the shift starts | 4 (12.1%, 4.8–27.3) | 4 (7.8%, 3.1–18.5) | 2 (5.1%, 1.4–16.9) | ||
| 6 hours after the shift starts | 9 (27.3%, 15.1–44.2) | 9 (17.6%, 9.6–30.3) | 13 (33.3%, 20.6–49.0) | ||
| Before the handover | 12 (36.4%, 22.2–53.4) | 22 (43.1%, 30.5–56.7) | 17 (43.6%, 29.3–59.0) | ||
| It does not change | 6 (18.2%, 8.6–34.4) | 14 (27.5%, 17.1–41.0) | 4 (10.3%, 4.1–23.6) | ||
| 5 | Please estimate the minimum hours of sleep you need to be functional the day after your night shift? | ||||
| 4 hours or less | 0 | 0 | 1 (2.6%, 0.5–13.2) | 0.812b) | |
| 5–7 hours | 22 (66.7%, 49.6–80.3) | 31 (60.8%, 47.1–73.0) | 25 (64.1%, 48.4–77.3) | ||
| 8–12 hours | 11 (33.3%, 19.8–50.4) | 19 (37.3%, 25.3–51.0) | 12 (30.8%, 18.6–46.4) | ||
| 6 | Please estimate the minimum hours of sleep you need to be mentally and physically functional for a night shift? | ||||
| 4 hours or less | 1 (3.0%, 0.5–15.3) | 4 (7.8%, 3.1–18.5) | 1 (2.6%, 0.5–13.2) | 0.334b) | |
| 5–7 hours | 22 (66.7%, 49.6–80.3) | 22 (43.1%, 30.5–56.7) | 20 (51.3%, 36.2–66.1) | ||
| 8–12 hours | 10 (30.3%, 17.4–47.3) | 23 (45.1%, 32.3–58.6) | 17 (43.6%, 29.3–59.0) | ||
| 7 | What is your preferred time to wake up before a night shift? | 2.0 (2.0–3.0) | 3.0 (3.0–5.0) | 2.0 (2.0–5.0) | <0.001c) |
| 8 | Have you ever fallen asleep while driving home after a night shift? (yes) | 12 (36.4%, 22.2–53.4) | 15 (29.4%, 18.7–43.0) | 13 (33.3%, 20.6–49.0) | 0.795 |
| 9 | Have you ever been in a post-night shift accident? (yes) | 1 (3.0%, 0.5–15.3) | 0 | 7 (17.9%, 9.0–32.7) | 0.001b) |
Notes: a)chi-square test of independence; b)Fisher’s exact test; c)Kruskal–Wallis test. Values are presented as number (%, 95% confidence interval) or mean ± standard deviation, unless otherwise indicated. a) Fisher’s exact test b) Kruskal–Wallis test. c) ANOVA. *Survey questions adapted from: Richards JR, Stayton TL, Wells JA, Parikh AK, Laurin EG Night shift preparation, performance, and perception: are there differences between emergency medicine nurses, residents, and faculty? Clin Exp Emerg Med. 2018;5(4):240–248. doi: 10.15441/ceem.17.270.10.10 Copyright © 2018 The Korean Society of Emergency Medicine. Creative Commons Attribution Non-Commercial License ().
perception
| Survey Question* | Nurses (n= 33) | Residents (n= 51) | Attending Physicians (n= 39) | P-value |
|---|---|---|---|---|
| I enjoy working night shifts | 3.0 (2.0–4.0) | 4.0 (4.0–5.0) | 3.0 (2.0–4.0) | < 0.001b) |
| Night shifts do not alter my normal sleep cycle | 2.4 ± 13 | 3.0 ± 13 | 2.4 ± 14 | 0.047a) |
| Career night shift workers have shorter life spans than day shift workers | 3.4 ± 13 | 3.1 ± 11 | 4.0 ± 12 | 0.003a) |
| Career night shift workers are more susceptible to illness than day shift workers | 3.5 ± 14 | 3.1 ± 11 | 3.7 ± 12 | 0.064a) |
| Career night shift workers age faster than day shift workers | 3.4 ± 14. | 3.4 ± 11 | 3.9 ± 12 | 0.160a) |
| Career night shift workers experience higher overall levels of stress in their personal lives than day shift workers | 3.4 ± 11 | 3.4 ± 1.0 | 3.9 ± 11 | 0.076a) |
| Career night shift workers have a higher prevalence of depression than day shift workers | 2.8 ± 12 | 3.1 ± 1.0 | 3.7 ± 12 | 0.003a) |
| Career night shift workers are more likely to depend on drugs and alcohol than day shift workers | 1.9 ± 1.0 | 2.6 ± 12 | 3.4 ± 12 | < 0.001a) |
Notes: a)ANOVA, b)Kruskal–Wallis test. Values are presented as median (interquartile range). Likert scale: 1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, and 5 = strongly agree. a) Kruskal–Wallis test. *Survey questions adapted from: Richards JR, Stayton TL, Wells JA, Parikh AK, Laurin EG Night shift preparation, performance, and perception: are there differences between emergency medicine nurses, residents, and faculty? Clin Exp Emerg Med. 2018;5(4):240–248. doi: 10.15441/ceem.17.270.10.10 Copyright © 2018 The Korean Society of Emergency Medicine. Creative Commons Attribution Non-Commercial License ().