Abstract
Purpose
This study explores the prevalence and patterns of the use of pharmacologic sleep aids and stimulants among Saudi Arabia’s emergency physicians (EPs) and emergency medical services (EMS) providers.
Patients and Methods
We adopted a descriptive, cross-sectional design. To collect data on the types and frequencies of sleep aids and stimulants used, we distributed a semi-structured, anonymous, web-based questionnaire to registered EPs, paramedics, and emergency medicine technicians (EMTs) in the Saudi Commission for Health Specialties. An internal consistency analysis showed good reliability (Cronbach’s alpha=0.667) of the questionnaire. A subscale analysis confirmed the results—alpha values were 0.720 and 0.618 for the use of sleep aids and stimulants, respectively.
Results
Males and females represented 81.8% and 18.2%, respectively, of the valid sample of 669 participants. Respondents aged 25–34, 35–44, and 45–55 years represented 51.9%, 32.7%, and 10.2% of the sample, respectively. Results showed that a majority of the respondents (67.1%) used stimulants. Caffeine was the most common stimulant; caffeine and energy drinks were used by 65.9% and 17.2% of the respondents, respectively. Caffeine, energy drinks, nicotine, and ephedrine were used by 65.9%, 17.2%, 18.5%, and 17.3% of the respondents, respectively. The respondents who used at least one sleeping aid and those using only one and two sleeping aids accounted for 36.6%, 15.6%, and 9.7%, respectively. The most common sleeping aids antihistamines and marijuana were used on most days by 13.4% and 13.3% of the respondents, respectively. The average monthly number of night shifts (P = 0.025) significantly influenced sleep aid use. Respondents working in night shifts for 3–5 months or more than 7 days were more likely to use sleeping aids.
Conclusion
Future research should enhance health workers’ knowledge of the efficacy and safety of these medications and guide strategies to organize and reduce night shift work.
Keywords: sleep disruption, shift work, circadian rhythm, night shift
Introduction
Working in emergency departments (EDs) represents a unique challenge to physicians, owing to the department’s continuous operations. Therefore, it is important to create work schedules that ensure the availability of qualified staff around the clock. This involves deputing staff with an ability to work overnight and in rotating shifts. This nature of job leads to changing sleep patterns and requires the staff to compensate for their sleep debt with daytime sleep. In Saudi Arabia and several other countries, ED physicians work eight hours per shift, and they constantly rotate shifts. These clinical schedules cause the staff to experience detrimental effects, including fatigue, decreased alertness, irritability, burnout, decreased memory, and communication problems.1,2 In organizations, these effects are reflected through increased rates of absenteeism, accidents, and medical errors.3,4
It has been well-established that the aforementioned negative effects of shift work are attributable to disrupting the circadian rhythms and reducing the daytime recovery sleep of the ED staff.5 As per a study in the United States, the night-shift ED residents experienced a higher frequency of difficulties in sleeping, shorter sleep duration, and decreased performance than that of their peers working in other shifts.5 Similarly, in Saudi Arabia, the ED physicians who worked in shifts experienced a poorer sleep quality and higher Epworth sleepiness scale scores than that of their non-shift work healthcare professionals.6 Other investigations concerning nurses have demonstrated increased risks of reduced periods of sleep, insomnia, and excessive daytime sleepiness and fatigue when doing shift work,7 working night shifts,8,9 and working a three-shift pattern,10 respectively.
Given their nature of work, the ED staff should to take suitable measures to combat sleep deprivation, circadian rhythm variation, and the possible consequences to their health. Given the lack of notable changes in the medical residents’ education system and no reduction in work hours or an abandonment of shift work, there are few solutions to the sleep-related problems. Hence, there is a need to implement strategies facilitating administrative and behavioral changes. In addition to the aforementioned issues, the use of pharmacologic sleep aids has been a cause for significant concern for several years. Although the use of sleep aids is prevalent among the ED staff and may help them counteract the problems associated with their fluctuating and highly demanding schedules, the use of these medications may not be a benign solution. Along with sleep aids, there may be a high likelihood of the on-shift use of stimulants by a considerable proportion of the ED staff.
Studies assessing the use of sleep aids and stimulants among the ED staff are limited by poor response rates11,12 or to a single institution’s ED.13 It must be noted that, to the best of our knowledge, the prevalence of the use of such medication has not yet been investigated in Saudi Arabia. The outcomes of this study will provide significant insights into the current status of sleep patterns and the effect of such medications on the alertness levels. Having said that, the future research can increase the awareness and knowledge of ED staff on the use of such medications.
We assessed the prevalence and patterns of using sleep aids among ED physicians and EMS providers via a nationwide, web-based survey in the Kingdom of Saudi Arabia. As secondary outcomes, we investigated their use of stimulants and it’s effect in promoting alertness.
Materials and Methods
Study Design and Setting
Based on the guidelines of the strengthening the reporting of observational studies in epidemiology (STROBE) checklist for cross-sectional studies,14 we conducted a descriptive, prospective cross-sectional study among all the registered EPs, paramedics, and EMTs in the Saudi Commission for Health Specialties (SCFHS) in Saudi Arabia. Study conducted between February 2020 to March 2021. We invited them to participate in an online, semi-structured questionnaire designed to collect data on their use of sleep aids and stimulants. We excluded the non-ED physicians from the analysis. The study protocol was approved by the Institutional Review Board of the Princess Nourah bint Abdulrahman University.
Study’s Tool
The online questionnaire was adapted from a recent survey-based study in Canada.13 We obtained an email approval from the authors to use the survey tool. The survey had five main domains comprising 19 items: 1) sociodemographic data (4 items)—age, gender, marital status, and current living situation; 2) practice information (4 items)—work position and experience, work location, and the average number of night shifts in EDs (defined as finishing work after midnight); 3) the perceived effects of working in EDs on sleep (5 items)—the perceived effects of shift work on the ability to sleep, the subjective perceptions of the factors contributing to sleeping difficulties, and the personal perceptions of having insomnia or chronic insomnia; 4) the use of sleep aids (4 items)—the prior and current use of sleep aids, the prescriber of these medications, the reasons attributing to the use of sleeps aids; and 5) the use of stimulants (2 items)—the prior and current use of stimulants to maintain wakefulness/alertness during work.
Selection of Participants
The sample comprised all the registered EPs, paramedics, and EMTs in the SCFHS in Saudi Arabia. The sample size was estimated using the n4Studies application.15 Using a standard proportion of 0.5, standard error (d) = 0.05, Alpha (α) = 0.05, and Z (0.975) = 1.959964, the sample size was estimated to be 341. With a 20% invalid responding rate, the final sample size was determined to be 376.
The questionnaire was uploaded to SurveyMonkey® (www.surveymonkey.com)—a platform that collects participants’ responses via customized questionnaires. Participation was entirely voluntary; the participants were informed about the purpose of the study and they provided consent to participate upon the survey’s completion, and the study was conducted in accordance with the Declaration of Helsinki. While we did not collect personal information, individual data for each response was coded for subsequent analysis using Microsoft Excel 2016.
Outcome Measures
The primary outcomes represent the proportion of ED staff who had used or were using sleep aids. We also explored the types and frequency of using such medications. The secondary outcomes include the sociodemographic and practice characteristics and the use of stimulants to overcome fatigue during work. We defined insomnia as a condition wherein a person experiences difficulty with the initiation, maintenance, or quality of sleep, despite normal sleep opportunities and times, which eventually leads to daytime functional/cognitive impairment.16 Chronic insomnia was classified as having insomnia for more than one month.17 The use of sleep aids/stimulants for more than 6 times per month was defined as frequent use.
Primary Data Analysis
Using a Cronbach’s alpha test, we tested the internal consistency of the whole questionnaire and the specific items related to the use of sleep aids and stimulants. The descriptive analysis included frequencies and percentages of all the categorical variables along with their respective 95% confidence intervals (95% CIs). We used the multi-response analysis to analyze items related to the domains of using sleep aids and stimulants (domains 4 and 5). Statistical analysis was performed using the Statistical Package for Social Sciences version 26.0 (SPSS Inc., Chicago, IL, USA).
Internal Consistency of the Questionnaire
An analysis of the internal consistency of all the questionnaire items showed good reliability (Cronbach’s alpha=0.667). A subscale analysis showed similar results, where alpha values were 0.720 and 0.618 for the domains of the use of sleep aids and stimulants, respectively.
Statistical Analysis
Statistical analysis was performed using R 3.6.3. Counts and percentages were used to summarize the distribution of categorical variables, and the mean ± standard deviation (SD) was used to summarize the distribution of continuous variables. The chi-square test of independence was used to assess the relationship between categorical variables. Hypothesis testing was performed at a 5% level of significance.
Results
Of the 777 respondents, we excluded 30 responses from nurses and administrators. Subsequently, we excluded 78 responses owing to missing data (information limited to the work location). Of the excluded participants, the number of personnel working in and outside the Kingdom of Saudi Arabia accounted for 48 (61.5%) and 30 (38.5%), respectively. Thus, the final sample consisted of 669 respondents working in the Kingdom of Saudi Arabia. The overall response rate was 26%. Males and females represented 81.8% and 18.2% of the study sample, respectively. Respondents aged 25–24 years old represented 51.9% of the study sample. Respondents aged 35–404 years and 45–55 years represented 32.7% and 10.2% of the study sample, respectively. Most of them perceived shift work as negatively affecting their ability to sleep effectively (n = 560, 85%).
The percentage of respondents working >7 nights/month, on an average, exceeded more than a quarter of the sample, while 27.7% and 22.6% worked 5–7 nights/month and 5–7 night shifts/month, respectively. We did not observe any statistically significant relationship between the average number of night shifts/month (ordinal) and the number of sleeping aids used (r = 0.04, p = 0.42) (Table 1).
Table 1.
Factors Contributing to Difficulty in Initiating or Maintaining Sleep
| [ALL] | N | |
|---|---|---|
| N=659 | ||
| Shift work negatively affects the ability to sleep effectively | 659 | |
| No | 99 (15.0%) | |
| Yes | 560 (85.0%) | |
| Factors contributing to difficulty initiating or maintaining sleep?¶ | ||
| Work hours/demands of work: Yes | 299 (44.7%) | 669 |
| Work-related emotional stress: Yes | 270 (40.4%) | 669 |
| Personal or family-related stressors: Yes | 174 (26.0%) | 669 |
| Family commitments: Yes | 147 (22.0%) | 669 |
| Circadian misalignment or day/night sleep reversal: Yes | 310 (46.3%) | 669 |
| Other (please specify): | 4 (0.6%) | 669 |
| How many night shifts (finishing after midnight) do you work in an average month? | 513 | |
| >7 nights | 167 (32.6%) | |
| 1–3 nights | 36 (7.02%) | |
| 3–5 nights | 116 (22.6%) | |
| 5–7 nights | 142 (27.7%) | |
| I only work nights | 17 (3.31%) | |
| None | 35 (6.82%) |
Note: ¶Percentage for each response was calculated from the total number of respondents.
Results showed that 63.4% (n = 424) of the respondents did not use any of the sleeping aids mentioned in the questionnaire. Thus, the number of respondents using at least one, only one, and two sleeping aids accounted for 245 (36.6%), 104 (15.6%), and 65 (9.7%), respectively (Figure 1). Melatonin and antihistamines were used by 16.1% (n=108) and 22.4% (n = 150) respondents, respectively. Barbiturates (n = 13, 1.9%) and marijuana (n = 17, 2.5%) were the least used sleeping aids (Figure 2). Based on the available data, the most commonly used sleeping aids antihistamines and marijuana were used on most days of the week by 13.4% and 13.3% of the respondents, respectively. The least commonly used sleep aid was benzodiazepine, which was used less than once/month, as per 50% of the respondents.
Figure 1.
Sleeping aids used by the respondents.
Figure 2.
Frequency of using sleeping aids.
Table 2 showed a statistically significant relationship between gender and the use of sleeping aids (P = 0.041). Females were more likely to use sleeping aids (45.1%) than that of males (34.7%). We did not find a statistically significant relationship between age and the use of sleeping aids, but between work area and the use of sleeping aids. The post-hoc comparisons showed that respondents from the Southern province were less likely to use sleeping aids than those from Riyadh (P = 0.043). We did not find any statistically significant relationship between the marital status and ED-work duration and the use of sleeping aids, but between the average monthly number of midnight shifts and the use of sleeping aids (P = 0.025).
Table 2.
Factors Associated with Using at Least One Sleeping Aid
| No | Yes | P-value | |
|---|---|---|---|
| N=424 | N=245 | ||
| Gender | 0.041 | ||
| Female | 67 (54.9%) | 55 (45.1%) | |
| Male | 357 (65.3%) | 190 (34.7%) | |
| Age (Year) | 0.083 | ||
| less than 24 | 15 (78.9%) | 4 (21.1%) | |
| 25–34 | 219 (63.1%) | 128 (36.9%) | |
| 35–44 | 128 (58.4%) | 91 (41.6%) | |
| 45–54 | 50 (73.5%) | 18 (26.5%) | |
| 55–64 | 12 (75.0%) | 4 (25.0%) | |
| Work area | 0.043 | ||
| Riyadh | 224 (60.4%) | 147 (39.6%) | |
| Eastern province | 56 (63.6%) | 32 (36.4%) | |
| Northern province | 12 (57.1%) | 9 (42.9%) | |
| Southern province | 50 (80.6%) | 12 (19.4%)* | |
| Western province | 77 (64.7%) | 42 (35.3%) | |
| Marital status | 0.849 | ||
| Single | 141 (65.6%) | 74 (34.4%) | |
| Married | 268 (62.2%) | 163 (37.8%) | |
| Divorced | 11 (61.1%) | 7 (38.9%) | |
| Widowed | 2 (66.7%) | 1 (33.3%) | |
| Job | |||
| Assistant Consultant/Registrar | 81 (60.9%) | 52 (39.1%) | |
| Consultant/Associate Consultant | 67 (54.0%) | 57 (46.0%) | |
| Emergency Resident in the program/service |
65 (63.7%) | 37 (36.3%) | |
| EMS | 77 (72.0%) | 30 (28.0%) | |
| Other (please specify) | 6 (60.0%) | 4 (40.0%) | |
| Paramedic | 126 (66.0%) | 65 (34.0%) | |
| Duration of work in the ER medicine | 0.113 | ||
| <10 | 277 (61.8%) | 171 (38.2%) | |
| 10–20 | 125 (64.4%) | 69 (35.6%) | |
| >20 | 22 (81.5%) | 5 (18.5%) | |
| Average number of night shifts (finishing after midnight) per month: | 0.025 | ||
| None | 25 (71.4%) | 10 (28.6%) | |
| 1–3 nights | 11 (52.4%) | 10 (47.6%) | |
| 3–5 nights | 29 (39.2%) | 45 (60.8%)* | |
| 5–7 nights | 39 (60.0%) | 26 (40.0%) | |
| >7 nights | 86 (51.5%) | 81 (48.5%)* | |
| I only work nights | 11 (64.7%) | 6 (35.3%) |
Notes: Statistical analysis was performed using the Chi-square test of independence. *Significantly different compared to the first level.
The post-hoc comparisons showed that respondents who worked for 3–5 months or > 7 days in night shifts were more likely to use sleeping aids. There was no statistically significant relationship between work and the use of sleeping aids.
In Table 3, 217 respondents reported the reasons for using pharmacological sleeping aids. The main reason was attributed to the need to reset the circadian rhythms or natural sleep cycle (n = 66, 30.4%). Other reasons included sleeping after (n = 48, 22.1%) and before a night shift (n = 39, 18%) and regardless of the shifts worked (n = 47, 21.7%). The proportion of respondents using OTC medications accounted for less than one-half of the sample (n = 90, 42.7%), and the proportion that self-prescribed medications accounted for one-quarter of the sample (n = 56, 26.5%). Results showed that only 32.6% of the respondents did not use any stimulants (n = 218); the respondents using only one and two stimulants represented 43.8% (less than one-half of the respondents) and 16.9% of the sample, respectively.
Table 3.
Reasons for Using Sleep Aids and Supply Sources
| [ALL] | N | |
|---|---|---|
| N=217 | ||
| Reason for using a pharmacological sleep aid | 217 | |
| For sleeping, regardless of shifts worked | 47 (21.7%) | |
| For resetting circadian rhythms or the natural sleep cycle | 66 (30.4%) | |
| For sleeping after a night shift | 48 (22.1%) | |
| For sleeping before a night shift | 39 (18.0%) | |
| Other (please specify) | 17 (7.83%) | |
| Supplier for sleeping aid prescriptions | 211 | |
| Colleague | 18 (8.53%) | |
| Combination: General Practitioner and Colleague | 5 (2.37%) | |
| Combination: General Practitioner and Colleague | 7 (3.32%) | |
| General Practitioner or Family Doctor | 26 (12.3%) | |
| Others (please specify) | 9 (4.27%) | |
| Over-the-counter (OTC) medication | 90 (42.7%) | |
| Self | 56 (26.5%) |
Results showed that caffeine and energy drinks were used by 65.9% (n = 441) and 17.2% (n = 115), respectively, of the respondents. Nicotine and ephedrine were used by 18.5% (n = 124) and 17.3% (n = 116) of the respondents, respectively. Amphetamines, modafinil, and herbals were the least used stimulants, as per the respondents (Figure 3).
Figure 3.
Stimulants used by the respondents.
As per Table 4, 82.69% (n = 86) of the respondents reported that energy drinks were used once/shift. The proportion of respondents using modafinil once and twice/shift represented 61.9% (more than half of the respondents) and 13.64% of the sample, respectively. Half of the respondents used nicotine at least five times/shift.
Table 4.
Frequency of Stimulant Use
| Once/Shift | Twice/Shift | Three Times/Shift | Four Times/Shift | Five Times or More | |
|---|---|---|---|---|---|
| Caffeine | 146 (35.44%) | 164 (39.81%) | 69 (16.75%) | 15 (3.64%) | 18 (4.37%) |
| Energy Drinks (for example: Rockstar and Red Bull) | 86 (82.69%) | 17 (16.35%) | 0 (0.00%) | 1 (0.96%) | 0 (0.00%) |
| Amphetamines (for example: Adderall and Dexedrine) | 14 (63.64%) | 3 (13.64%) | 4 (18.18%) | 1 (4.55%) | 0 (0.00%) |
| Modafinil (for example: Alertec) | 13 (61.90%) | 0 (0.00%) | 5 (23.81%) | 3 (14.29%) | 0 (0.00%) |
| Ephedrine/Ephedra | 12 (57.14%) | 1 (4.76%) | 3 (14.29%) | 3 (14.29%) | 2 (9.52%) |
| Nicotine (cigarettes, gum, pipe, and cigars) | 17 (14.91%) | 15 (13.16%) | 18 (15.79%) | 11 (9.65%) | 53 (46.49%) |
| Herbals (eg Guarana, Ginseng, and Gotu Kola.) | 18 (66.67%) | 4 (14.81%) | 1 (3.70%) | 2 (7.41%) | 2 (7.41%) |
Notes: Percentage was calculated from the number of respondents who reported the use frequency for each stimulant.
Table 5 did not show a statistically significant relationship between the gender and age and the use of stimulants (P > 0.05 for both comparisons). We found a statistically significant relationship between the work and the use of stimulants (P < 0.05).
Table 5.
Factors Associated with the Use of at Least One Stimulant
| No | Yes | P-value | |
|---|---|---|---|
| N=218 | N=451 | ||
| Gender | 0.874 | ||
| Female | 41 (33.6%) | 81 (66.4%) | |
| Male | 177 (32.4%) | 370 (67.6%) | |
| Age (Years) | 0.161 | ||
| less than 24 | 7 (36.8%) | 12 (63.2%) | |
| 25–34 | 109 (31.4%) | 238 (68.6%) | |
| 35–44 | 65 (29.7%) | 154 (70.3%) | |
| 45–54 | 29 (42.6%) | 39 (57.4%) | |
| 55–64 | 8 (50.0%) | 8 (50.0%) | |
| Work area | 0.04 | ||
| Riyadh | 130 (35.0%) | 241 (65.0%) | |
| Eastern province | 29 (33.0%) | 59 (67.0%) | |
| Northern province | 8 (38.1%) | 13 (61.9%) | |
| Southern province | 21 (33.9%) | 41 (66.1%) | |
| Western province | 27 (22.7%) | 92 (77.3%)* | |
| Current relationship status | 0.406 | ||
| Single | 68 (31.6%) | 147 (68.4%) | |
| Married | 139 (32.3%) | 292 (67.7%) | |
| Divorced | 9 (50.0%) | 9 (50.0%) | |
| Widowed | 1 (33.3%) | 2 (66.7%) | |
| Job | < 0.001 | ||
| Assistant Consultant/Registrar | 43 (32.3%) | 90 (67.7%) | |
| Consultant /Associate Consultant | 22 (17.7%) | 102 (82.3%)* | |
| Emergency resident in the program/service |
40 (39.2%) | 62 (60.8%) | |
| EMS | 46 (43.0%) | 61 (57.0%) | |
| Others (please specify) | 5 (50.0%) | 5 (50.0%) | |
| Paramedic | 62 (32.5%) | 129 (67.5%) | |
| Duration of working in the Emergency Medicine | 0.006 | ||
| <10 | 147 (32.8%) | 301 (67.2%) | |
| 10–20 | 55 (28.4%) | 139 (71.6%) | |
| >20 | 16 (59.3%) | 11 (40.7%)* | |
| Average number of night shifts (finishing after midnight) per month: | 0.841 | ||
| None | 9 (25.7%) | 26 (74.3%) | |
| 1–3 nights | 12 (33.3%) | 24 (66.7%) | |
| 3–5 nights | 30 (25.9%) | 86 (74.1%) | |
| 5–7 nights | 33 (23.2%) | 109 (76.8%) | |
| >7 nights | 41 (24.6%) | 126 (75.4%) | |
| I only work nights | 3 (17.6%) | 14 (82.4%) |
Notes: Statistical analysis was performed using Chi-square test of independence. *Significantly different compared to the first level.
The post-hoc comparisons showed that respondents from the Western province were more likely to use stimulants than those from Riyadh (P < 0.05). We did not find a statistically significant relationship between the marital status and the use of stimulants.
The results showed a statistically significant relationship between the current job and the use of stimulants, with consultants/associate consultants reporting a higher use of stimulants than that of the associated consultants. We found a relationship between the ED-work duration and the stimulant use (P < 0.05), with respondents who worked for > 20 years reporting less stimulant use than those who worked for < 10 years.
Discussion
Sleep deprivation resulting from ED shift schedules negatively impacts the clinical and cognitive performance of physicians and non-physicians.18,19 Several strategies can be applied to prevent sleep deprivation, such as the appropriate scheduling and sequence of shifts and napping for short periods.20 However, instead of considering these administrative aspects, at an individual level, there has been a prevalence in the use of pharmacologic aids to modulate sleep and wakefulness.
In a recent national wide study, about 15% of the general population of the employee sample reported taking sleep medications in the preceding month, where 10.8% had taken medication only infrequently compared to 36.6% who reported use from our study participants.21 In this study, 67.4% had reported use of stimulants at some point of their career. Most of them believed that shift work could have influenced their normal sleep pattern; the most significantly perceived factors of sleep disruption were circadian misalignment, increased work hours, and work-related emotional stress.
The aforementioned results mimic those reported in other studies in the literature. In Canada, the rates of the previous and current use of sleep aids were estimated at 67% and 56%, respectively, among ED physicians.13 Similarly, 55.7% of the ED staff reported the use of sleep aids in an early web-based survey in the United States.12 Concerning their routine use, a study among the staff of a local ED center in the United States revealed that about 38% of the ED residents and nurses have been using pharmacologic sleep aids.22 This reflects the urgent need to reduce the disruptive effects of shift work on the circadian rhythm, which is dependent on the internal clock controlled by the hypothalamic suprachiasmatic nucleus.23 In essence, ED shift workers deprived of nighttime sleep cannot get the same amount of rest from the daytime sleep as that from the nighttime sleep. The repeated or continuous work during night shifts disrupts sleep patterns, which cause a dyssynchronization between chronological and biological clocks and, in turn, makes it difficult for sleep-deprived individuals to recover effectively from sleep deprivation. Therefore, pharmacological solutions are usually considered by shift workers as an option, including those working in the EDs.
In this analysis, antihistamines, melatonin, marijuana and analgesics were used sleep aids as past or present routine medications. Likewise, Handel et al12 demonstrated that antihistamines, primarily diphenhydramine, were used frequently by ED residents. Nonetheless, other studies have shown a relative prevalence of other medications. Nonbenzodiazepine hypnotics were the most popular among ED physicians in Canada13 and the ED residents of the national American Board of Emergency Medicine.24 Recently, Richards et al22 found marked discrepancies between past and current uses; they showed that the ED staff used diphenhydramine, melatonin, and alcohol in the past, whereas melatonin, diphenhydramine, and doxylamine were routinely used by the participants.
There is a lack of clinical evidence regarding the efficacy and safety of the use of antihistamines among shift work-staff, as indicated by a recent systematic review.25 Antihistamines induce tolerance with repeated use, and they can be associated with adverse events such as dizziness, xerostomia, and post-awakening sedation. However, after night shifts, it has been shown that melatonin improves the length of sleep, but no other sleep quality parameters.26 Other randomized clinical trials have found no significant effects of melatonin on sleep quality, cognitive functions, or night alertness in ED physicians; these studies are also outdated.27,28 These inconsistent outcomes indicate the lack of high-quality studies, which necessitates conducting prospective clinical investigations involving different sleep aid medications used by shift work-ED staff.
Concerning stimulants, we found that the sampled participants predominantly used caffeine-based stimulants. This was in agreement with other studies on nightshift workers in healthcare settings.11,22,29 This observation was unsurprising since caffeine is the most commonly used psychoactive substance worldwide.30 It increases arousal in a dose-dependent manner, with more significant effects in fatigued than rested individuals.31 The non-sleep-deprived and sleep-deprived individuals experience performance benefits, owing to increased alertness, after consuming 30–300 mg and 200–600 mg of caffeine, respectively.32,33 Notwithstanding the low-quality evidence, caffeine combined with naps can significantly reduce sleepiness during night shifts, as revealed by a Cochrane systematic review published in 2014.26 Among nightshift workers, the caffeine use is usually associated with improved cognitive performance, mood, and enhanced wakefulness; however, its use may induce tolerance in a significant proportion of individuals.34 We could not assess the effects of caffeine on work performance among ED staff; this could be best assessed by assessing fatigue during shifts.
Limitations
As with any observational study, we could not infer causation owing to the self-reported nature of data. The subjective reporting of data might have also led to underreporting of the prevalence of the use of sleep aids and stimulants. In other words, social desirability bias in the responses of the participants might have resulted in dishonest responses. A recall bias is also evident, where the respondents might have inadvertently under- or over-reported their personal perceptions and uses of medications/active substances. It must be noted that sleep disruption was assessed on the basis of the responses of the participants, instead of the scores of sleep quality and daytime sleepiness. Additionally, work-related stress was not assessed using reliable tools. Finally, although the study’s tool was based on another study, and it showed good values of the parameters of the internal consistency, our questionnaire was not validated for use among ED workers, particularly in the national context.
Conclusion
In line with the aforementioned findings and limitations, this study provides recommendations for future investigations. The future research should consider a prospective, randomized design to collect real-time data from cohort groups using different types of sleep aids, in order to assess the efficacy and safety of their use among ED workers, including those working shifts. This will help in identifying robust causal associations of the possible factors that could influence the performance of these medications. The study also recommends formulating administrative strategies that can facilitate a smooth shift transition and reduce the burden of sleep disruption among healthcare professionals. On the basis of clinical, instead of subjective and self-reported, investigations, the future studies should assess the effects of such strategies on the parameters of sleep quality and daytime sleepiness. Finally, in the context of Saudi Arabia, in order to ensure the prudent use of these medications, the future research should promote the awareness and knowledge of ED physicians and nurses regarding the lack of evidence on and the possible side effects of antihistamines. In this context, it must be noted that the ED staff in Saudi Arabia attributed the negative effects of shift work on the sleep quality to circadian misalignment and increased work demands. To offset these effects, 36.6% of the respondents used or have been routinely using sleep aid medications, including antihistamines and melatonin. This use is prevalent, despite the lack of robust clinical evidence on the relationship between the routing use of these medications and their safety and efficacy in promoting sleep. Most of the participants (67.4%) had also used stimulants, mostly caffeine. Future studies should be implemented, at a national level, to assess the clinical significance of sleep aids/stimulants for shift workers. These studies should explore alternative strategies formulated by decision-makers to reduce and organize shift work, mainly the night shifts, and should test the quality of sleep using reliable and effective tools.
Funding Statement
This research was funded by the Deanship of Scientific Research at Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia, through the Fast-track Research Funding Program.
Abbreviations
ED, emergency department; EMT, emergency medical technicians; SCFHS, Saudi Commission for Health Specialties.
Disclosure
The authors report no conflicts of interest in this work.
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