ABSTRACT
Purpose/Background:
Assessing the level of psychosocial assistance provided for healthcare workers (HCWs) at and outside of work is crucial. This study aimed to evaluate the psychosocial support provided to HCWs and analyze its effectiveness during COVID-19 at one of the biggest hospitals in Saudi Arabia, King Abdulaziz Medical City, Riyadh. In this study, we hypothesized that psychosocial support for HCWs will enhance their performance and total welfare.
Methods:
This study followed a cross-sectional analytic design, and its sample comprised 380 HCWs from many specialties. Two well-known psychosocial scales, DASS-21 and MSPSS, were used to assess the availability of institutional psychosocial support and the levels of depression, anxiety, and stress among HCWs,
Results:
The majority of HCWs reported a tremendous increase in working hours and level of anxiety during COVID-19, and they denied receiving institutional support at work. Moreover, the majority reported receiving support from family and friends. Primarily, the most statistically significant finding in this study was that female HCWs had much higher levels of stress and anxiety during COVID-19 than their equivalent male colleagues. In addition, a significant difference was found regarding the presence of immediate supervisors for HCWs and its effectiveness in burden relief.
Conclusions:
The results show a marginally significant association between psychosocial support and the mental health of HCWs during COVID-19. However, we found a slightly favorable effect on the minority of HCWs who received regular check-ins or targeted interventions or had immediate supervisors.
Keywords: Anxiety, COVID-19, depression, Health Care Workers (HCWs), psychological support, psychosocial support, Stress, support during COVID
Introduction
The infectious respiratory and vascular coronavirus disease 19 (COVID-19) was discovered in Wuhan, China, and announced as a pandemic by the World Health Organization (WHO) on March 11, 2020.[1,2] The first case was identified in Saudi Arabia on March 2, 2020. Soon after, rapidly rising numbers of confirmed cases and mortalities were observed throughout the Kingdom.[3] Since then, the disease has evolved quickly and significantly impacted human civilization.[4]
A pandemic like COVID-19 puts high stress on all people, but specifically on healthcare workers (HCWs). HCWs were at the front line of COVID-19 to provide the best medical care for infected patients. A study done in Saudi Arabia indicated that HCWs exhibited high stress levels because of COVID-19, which impacted their mental health.[5] HCWs endured significant mental burdens while handling COVID-19 patients due to the fear of getting the infection or transmitting it to their beloveds, and they were prone to psychological stress, sadness, anxiety, and insomnia because of their job requirements.[6] Prolonged exposure to such strains can cause diminished energy, burnout, medical errors, low-quality medical care, and decreased quality of life. Therefore, it is crucial to acknowledge HCWs’ emotions and fears and their short- and long-term consequences and to provide the best support.[7] Creating programs that assist the mental health of HCWs is essential, and all public health crisis management plans should include techniques for providing emotional and psychological support.[5]
Furthermore, structural defects in the workplace, such as lack of resources or medical equipment and failure to offer emotional support, can also result in long-term negative psychosocial consequences on HCWs. A study conducted in the United Arab Emirates revealed that the availability of efficient medical equipment, psychiatric programs, and supportive colleagues and organizations had decreased psychological burdens and improved the performance of HCWs.[8] Another study conducted in Saudi Arabia about HCWs’ emotions, perceived stressors, and coping strategies during the MERS-COV outbreak presented several techniques in which hospitals can foster HCWs’ mental health.[9] These techniques included providing HCWs with the necessary protective medical equipment, spreading positive behavior at work, and enforcing appreciation and support by hospital management.[9]
In response to COVID-19, Saudi Arabia ensured the availability and sustainability of medications, equipment, financial aid, and electronic support.[10] In addition, many organizations released guidance on how HCWs can manage the mental burdens of COVID-19. However, those recommendations, which focused on specific HCWs (e.g., nurses and psychologists), were not evidence-based and did not situate guidance within a phased model that recognizes countries at different stages of the pandemic.[11]
The availability of assistance programs for HCWs in Saudi Arabia during COVID-19 is unknown.[10] Therefore, this research assessed the availability of psychosocial support programs for HCWs and the effect of these programs on HCWs’ performance, mental health, and well-being at one of the biggest hospitals in Saudi Arabia. In addition, this research assessed the availability of family and friends support for HCWs.
Materials and Methods
Demographic characteristics
The survey was completed by 202 female and 147 male HCWs [Table 1]. The study included HCWs of different ages and nationalities, and a significant percentage of participants, 63%, were Saudi. Out of the 380 who participated in this study, 31 were excluded because they did not work during the pandemic [Table 1].
Table 1.
Demographics of the study subjects and Working hours of HCWs before and during the COVID-19 pandemic
| Baseline characteristics | n | % | |
|---|---|---|---|
| Age (years) | |||
| 21–30 | 155 | 44.4 | |
| 31–40 | 124 | 35.5 | |
| 41–50 | 46 | 13.2 | |
| 51+ | 24 | 6.9 | |
| Marital status | |||
| Unmarried | 167 | 47.9 | |
| Married | 182 | 52.1 | |
| Gender | |||
| Male | 147 | 42.1 | |
| Female | 202 | 57.9 | |
| What is your professional title? | |||
| Consultant | 48 | 13.8 | |
| Assistant consultant | 26 | 7.4 | |
| General Physician | 24 | 6.9 | |
| Resident | 80 | 22.9 | |
| Nurse | 139 | 39.8 | |
| Technician | 16 | 4.6 | |
| Others | 16 | 4.6 | |
| Nationality | |||
| Saudi | 220 | 63.0 | |
| Non-Saudi | 129 | 37.0 | |
| Have you worked during COVID-19 | |||
| No | 13 | 3.7 | |
| Yes | 336 | 96.3 | |
| In which departments did you mainly work during COVID-19? | |||
| Cardiology | 37 | 10.6 | |
| Pediatrics | 45 | 12.9 | |
| Gynecology | 9 | 2.6 | |
| Medicine | 96 | 27.6 | |
| Surgery | 30 | 8.6 | |
| ICU | 24 | 6.9 | |
| ER | 44 | 12.6 | |
| OPD | 6 | 1.7 | |
| COVID clinic | 4 | 1.1 | |
| Family medicine | 5 | 1.4 | |
| Radiology | 16 | 4.6 | |
| Others | 32 | 9.2 | |
| What is your qualification (s)? | |||
| Saudi board | 227 | 65.2 | |
| Bachelors | 83 | 23.9 | |
| MRCP/MRCOG | 6 | 1.7 | |
| Post-graduate | 10 | 2.9 | |
| American Board | 18 | 5.2 | |
| Canadian board | |||
| Australian board | |||
| Diploma | 4 | 1.1 | |
| How many hours per week have you worked before COVID-19? | |||
| ≤20 | 36 | 10.3 | |
| 21–39 | 31 | 8.9 | |
| 40 | 64 | 18.3 | |
| 41–50 | 163 | 46.7 | |
| 51+ | 55 | 15.8 | |
| How many hours (per week) have you worked during COVID-19? | |||
| ≤20 | 42 | 12.5 | |
| 21–39 | 34 | 10.1 | |
| 40 | 50 | 14.9 | |
| 41–50 | 113 | 33.7 | |
| 51+ | 96 | 28.7 | |
|
| |||
| Working hours of healthcare workers before and during COVID-19 | |||
|
| |||
| Working hours | n | Mean+SD | P |
|
| |||
| How many hours (per week) have you worked before COVID-19? | 320 | 45.8+10.19 | 0.001 |
| How many hours (per week) have you worked during COVID-19? | 320 | 48.4+14.80 | |
Study site, design, and sampling
This study was conducted at King Abdulaziz Medical City (KAMC), National Guard Health Affairs, Riyadh, Saudi Arabia, from November 2021 until April 2022. KAMC was inaugurated in May 1983 with a capacity of 1501 beds. Psychosocial effects on HCWs from different specialties were measured using MSPSS and DASS-21 scales.
The study was a cross-sectional analytic study with 349 HCWs, including consultants, residents, nurses, technicians, and public health professionals from many departments. However, most of the participant HCWs were from the internal medicine department. Using the Raosoft website, the response distribution on social support and well-being was estimated to be 50%, with a confidence level of 95% and a margin of error of 5%. The Raosoft website also calculated the estimated sample size to be 377 HCWs. A non-probability convenience sampling technique was used, and most of the currently employed HCWs at KAMC, Riyadh, were invited electronically and in person.
Primary data were collected using a Google survey. The survey was divided into two sections. The first section contained an agreement consent and primary demographic data such as age, marital status, gender, professional title, and nationality. The second section contained two well-known self-administered questionnaires: (1) MSPSS, used to assess perceived social support; and (2) DASS-21, which consists of three dimensions: depression, anxiety, and stress. Each dimension of these evaluates seven items. The depression dimension evaluates self-deprecation, hopelessness, dysphoria, anhedonia, lack of involvement, devaluation of life, and inertia. The anxiety dimension evaluates skeletal muscle effects, subjective experience of anxious affect, situational anxiety, and autonomic arousal. The stress dimension measures levels of long-term non-specific arousal, which evaluates nervous arousal, being easily agitated, irritability, over-reactiveness, impatience, difficulty relaxing, and stress. Participants rated each item from 0 (did not apply) to 3 (very much applied).
Inclusion and exclusion criteria
All participant HCWs who worked during the COVID-19 pandemic were included in this study regardless of the number of hours they worked. HCWs who did not work during the pandemic and HCWs who clicked disagree upon the consent at the beginning of the study were excluded.
Statistical analysis
Descriptive statistical analysis followed quantitative data collection. All quantitative data analysis was performed using Statistical Product and Service Solutions (SPSS) version 25.0 developed by IBM Corp, Armonk, New York, NY, USA. Descriptive statistics were presented as frequency and percentages for the categorical variables and as mean ± standard deviations for the numerical variables. Independent sample t-tests were used to compare the mean scores of each MSPSS domain. Moreover, tests were declared significant if P values were less than 0.05.
Ethics
This study was approved by the institution’s institutional review board (protocol#: IRBC/0969/21). An informed consent obtained from King Abdullah International Medical Research Center (KAIMRC) was presented to all participants at the beginning of the survey. Confidentiality of the collected information was assured.
Results
When analyzing and comparing average working hours before and after the pandemic, a significant increase in the average working hours was found (P = 0.001). The average working hours before COVID-19 were 45.8 hours ± 10.19 SD, while it increased during the pandemic to 48.4 hours ± 14.80 SD [Table 1].
DASS-21 analysis
When different specialties were compared regarding levels of depression, anxiety, and stress, slight differences were found, but they were not significant [Table 2].
Table 2.
Overall and gender-wise psychosocial impact of the COVID-19 pandemic on healthcare workers
| Psychosocial Factor | Professional Title | Normal | Mild | Moderate/severe/extremely severe | P | |||
|---|---|---|---|---|---|---|---|---|
|
|
|
|
||||||
| n | % | n | % | n | % | |||
| Depression | Consultant | 40 | 83.3 | 3 | 6.3 | 5 | 10.4 | 0.09 |
| Assistant consultant | 17 | 65.4 | 4 | 15.4 | 5 | 19.2 | ||
| General Physician | 22 | 91.7 | 2 | 8.3 | 0 | 0.0 | ||
| Resident | 52 | 65.0 | 13 | 16.3 | 15 | 18.8 | ||
| Nurse | 107 | 77.0 | 14 | 10.1 | 18 | 12.9 | ||
| Technician | 10 | 62.5 | 5 | 31.3 | 1 | 6.3 | ||
| Others | 11 | 68.8 | 2 | 12.5 | 3 | 18.8 | ||
| Anxiety | Consultant | 38 | 79.2 | 3 | 6.3 | 7 | 14.6 | 0.06 |
| Assistant consultant | 21 | 80.8 | 2 | 7.7 | 3 | 11.5 | ||
| General Physician | 20 | 83.3 | 1 | 4.2 | 3 | 12.5 | ||
| Resident | 45 | 56.3 | 14 | 17.5 | 21 | 26.3 | ||
| Nurse | 91 | 65.5 | 12 | 8.6 | 36 | 25.9 | ||
| Technician | 7 | 43.8 | 3 | 18.8 | 6 | 37.5 | ||
| Others | 9 | 56.3 | 1 | 6.3 | 6 | 37.5 | ||
| Stress | Consultant | 42 | 87.5 | 5 | 10.4 | 1 | 2.1 | 0.456 |
| Assistant consultant | 24 | 92.3 | 1 | 3.8 | 1 | 3.8 | ||
| General Physician | 23 | 95.8 | 1 | 4.2 | 0 | 0.0 | ||
| Resident | 67 | 83.8 | 7 | 8.8 | 6 | 7.5 | ||
| Nurse | 124 | 89.2 | 7 | 5.0 | 8 | 5.8 | ||
| Technician | 14 | 87.5 | 0 | 0.0 | 2 | 12.5 | ||
| Others | 13 | 81.3 | 3 | 18.8 | 0 | 0.0 | ||
|
| ||||||||
| Gender wise comparison | ||||||||
|
| ||||||||
| Depression | Male | 112 | 76.2 | 19 | 12.9 | 16 | 10.9 | 0.48 |
| Female | 147 | 72.8 | 24 | 11.9 | 31 | 15.3 | ||
| Anxiety | Male | 103 | 70.1 | 19 | 12.9 | 25 | 17.0 | 0.03 |
| Female | 128 | 63.4 | 17 | 8.4 | 57 | 28.2 | ||
| Stress | Male | 135 | 91.8 | 11 | 7.5 | 1 | 0.7 | 0.005 |
| Female | 172 | 85.1 | 13 | 6.4 | 17 | 8.4 | ||
To explain, assistant consultants and residents had slightly higher levels of (moderate/severe) depression, while technicians, residents, and nurses had somewhat higher levels of (moderate/severe) anxiety and stress [Table 2]. On the contrary, when comparing male and female HCWs for (mild levels), both genders reported depression, anxiety, and stress with no significant difference. Nevertheless, when assessing the (moderate to extremely severe) levels among the two genders, females reported statistically significant higher levels of anxiety (P = 0.033) and stress (P = 0.005) [Graph 1].
Graph 1.

Gender-wise psychosocial impact of COVID-19 on HCWs
Second, the presence of immediate supervisors and its effects on HCWs were also assessed. Among the 349 HCWs in this study, 83.4% had immediate supervisors, and 63.3% received mental awareness support [Table 3]. However, more than half of HCWs reported not receiving regular check-ins, self-care mechanisms, or targeted interventions from their institution [Table 3].
Table 3.
Responses on available institutional support and its impact on healthcare providers during the COVID-19 pandemic
| Institutional support | Response | n | % |
|---|---|---|---|
| I have an immediate supervisor. | No | 58 | 16.6 |
| Yes | 291 | 83.4 | |
| Not sure | 0 | 0.0 | |
| My institution is raising awareness of mental health in general. | No | 128 | 36.7 |
| Yes | 221 | 63.3 | |
| Not sure | 0 | 0.0 | |
| The impact of raising awareness of mental health on healthcare workers: | Not helpful | 09 | 2.6 |
| Somewhat helpful | 122 | 35.0 | |
| Very helpful | 148 | 42.4 | |
| Never used before | 70 | 20.1 | |
| There are regular check-ins to see how staff are doing | No | 194 | 55.6 |
| Yes | 155 | 44.4 | |
| Not sure | 0 | 0.0 | |
| Effect of regular check-ins on healthcare workers | Poor | 27 | 13.4 |
| Fair | 47 | 23.3 | |
| Good | 81 | 40.1 | |
| Very good | 47 | 23.3 | |
| Institution/department provided self-care mechanisms such as mobile apps, mindfulness techniques, and lifestyle changes. | No | 214 | 61.3 |
| Yes | 130 | 37.2 | |
| Not sure | 05 | 1.4 | |
| The impact of self-care mechanism on healthcare workers: | Not helpful | 01 | 0.4 |
| Somewhat helpful | 81 | 30.3 | |
| Very helpful | 99 | 37.1 | |
| Never used before | 86 | 32.2 | |
| The institution provides targeted interventions in-house or by effective signposting when issues like burnout, stress, or resilience are a problem | No | 196 | 56.2 |
| Yes | 140 | 40.1 | |
| Not sure | 13 | 3.7 | |
| Effect of targeted interventions on healthcare workers | Poor | 20 | 10.8 |
| Fair | 63 | 34.1 | |
| Good | 73 | 39.5 | |
| Very good | 29 | 15.7 |
Furthermore, the availability of immediate supervisors for both genders was analyzed and compared using a Chi-square test, and the result was insignificant [Table 4]. However, when the availability of immediate supervisors was compared among different professional subgroups using Fisher’s exact test, a significant difference was observed (P = 0.024). Among the HCWs surveyed, 91.7% of general physicians had immediate supervisors, while only 68.8% of consultants had immediate supervisors during the pandemic [Table 4].
Table 4.
Association between baseline characteristics and availability of immediate supervisor
| Baseline characteristics | The presence of an immediate supervisor | P | |||
|---|---|---|---|---|---|
|
| |||||
| Yes | No | ||||
|
|
|
||||
| n | % | n | % | ||
| Gender | |||||
| Male | 119 | 81.0 | 28 | 19.0 | 0.29 |
| Female | 172 | 85.1 | 30 | 14.9 | |
| Professional title | |||||
| Consultant | 33 | 68.8 | 15 | 31.3 | 0.02 |
| Assistant consultant | 18 | 69.2 | 8 | 30.8 | |
| General Physician | 22 | 91.7 | 2 | 8.3 | |
| Resident | 67 | 83.8 | 13 | 16.3 | |
| Nurse | 123 | 88.5 | 16 | 11.5 | |
| Technician | 14 | 87.5 | 2 | 12.5 | |
| Others | 14 | 87.5 | 2 | 12.5 | |
The effect of institutional regular check-ins was studied and compared among both genders. A significant difference in responses between males and females was found (P = 0.045); 34.8% of males reported (very good), while only 17.3% of females reported (very good) effects [Table 5, Graph 2]. Not to mention, significantly more assistant consultants and general physicians reported higher levels of efficacy of regular check-ins than residents and consultants, who reported the lowest levels of efficacy (P 0.049) [Table 5 and Graph 2].
Table 5.
Association between baseline characteristics and the impact of regular check-in results
| Baseline characteristics | Effect of regular check-ins on healthcare workers | ||||||||
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| Poor | Fair | Good | Very good | P | |||||
|
|
|
|
|
||||||
| n | % | n | % | n | % | n | % | ||
| Gender | |||||||||
| Male | 9 | 13.0 | 13 | 18.8 | 23 | 33.3 | 24 | 34.8 | 0.05 |
| Female | 18 | 13.5 | 34 | 25.6 | 58 | 43.6 | 23 | 17.3 | |
| Professional title | |||||||||
| Consultant | 5 | 21.7 | 4 | 17.4 | 10 | 43.5 | 4 | 17.4 | 0.05 |
| Ass. consultant | 1 | 7.1 | 3 | 21.4 | 2 | 14.3 | 8 | 57.1 | |
| General Physician | 1 | 6.3 | 1 | 6.3 | 6 | 37.5 | 8 | 50.0 | |
| Resident | 6 | 20.7 | 8 | 27.6 | 10 | 34.5 | 5 | 17.2 | |
| Nurse | 12 | 11.5 | 26 | 25.0 | 47 | 45.2 | 19 | 18.3 | |
| Technician | 1 | 9.1 | 2 | 18.2 | 6 | 54.5 | 2 | 18.2 | |
| Others | 1 | 20.0 | 3 | 60.0 | 0 | 0.0 | 1 | 20.0 | |
Graph 2.

Association between baseline characteristics and the impact of regular check-ins
MSPSS analysis
When comparing the perceived social support, most of the HCWs received family and friends support, with a mean of 5.62 ± 1.46 SD, and they reported that such support was critical and helpful in enhancing their mental status during COVID-19 [Table 6].
Table 6.
Descriptive statistics of the Multidimensional Scale of Perceived Social Support (MSPSS)
| Social support | n | Mean | SD |
|---|---|---|---|
| Overall support | 349 | 5.31 | 1.33 |
| Significant support | 349 | 5.08 | 1.58 |
| Family support | 349 | 5.62 | 1.46 |
| Friends support | 349 | 5.25 | 1.52 |
Discussion
Our research sought to determine the availability of institutional and social support for HCWs and the efficacy of such support in promoting the mental health of HCWs. The currently available literature indicates that working in proximity to COVID-19 patients increased the levels of stress, anxiety, and depression in almost all HCWs during COVID-19.[12,13,14] A recent study conducted in Egypt demonstrated that COVID-19 has been linked to anxiety and depression in medical professionals, particularly pharmacists and doctors.[15] Such mental stressors can result in long-term adverse psychological effects and will decrease the quality of medical care provided by HCWs.
The majority of the HCWs who participated in this study denied receiving institutional support; however, the minority who received institutional support implied that it was beneficial. The availability of institutional support was determined by asking about regular institutional check-ins, providing self-care tools, and tailored interventions. A study highlighted the critical risks of junior HCWs being more stressed and burned out because of less provision of materials and equipment and long working hours.[16] Furthermore, a recent study conducted in Saudi Arabia concluded that psychological disorders were common among HCWs in the emergency room and intensive care unit, and they were independently associated with male gender, working in the emergency room, and receiving insufficient psychological support from healthcare providers.[17] Another study done in Paris implemented a psychological support system, Covid-Psy hotline, for all HCWs in Paris hospitals during COVID-19. They received many calls, mainly from female frontline HCWs who were complaining of anxiety, exhaustion, trauma reactivation, insomnia, anger, depression, and psychotic symptoms. More than half were referred to psychosocial support, and the study emphasized the importance of the hotline and supporting HCWs.[18]
When comparing among genders, females showed higher scores of anxiety and stress. This finding is supported by a study titled “Psychosocial Impact of the COVID-19 Pandemic on Pediatric HCWs,” which supports our finding by proving that frontline HCWs, specifically female nurses, were more susceptible to unfortunate psychological outcomes during COVID-19.[13]
Another Italian study found higher levels of burnout among female HCWs.[19] Historically, females have carried a higher burden than males regarding family role expectations. In a study from Saudi Arabia, almost half of the participating female doctors expressed that they could not attain a sufficient balance between career and family and that work harmed their family relationships.[14] Another piece of evidence for this notion comes from a psychiatric study conducted in Spain in 2021, which found that female HCWs were subjected to heavier home obligations and more caregiving expectations.[20] Hence, we hypothesized that women in the healthcare setting had more trouble balancing work and family obligations than men. Furthermore, our speculation was the asymmetric distribution of females across healthcare occupations, leading to an occurrence in medicine called occupational segregation. According to a WHO study, this tendency is most pronounced among women who work in specialized fields such as nursing and nursing assistantships, where the virus was more prevalent during the pandemic.[21] Another recent study demonstrated that a distinct set of work-life pressures brought by COVID-19 increased the prevalence of adverse mental health outcomes for HCWs, particularly women, nurses, and those who directly assist COVID-19 patients.[22]
There is extensive literature available on the well-established relationship between family support and the alleviation of deteriorating mental symptoms. According to this study’s findings, most HCWs received support from family and friends, a significant protective factor for HCWs against stressors during COVID-19. This is mainly because family and friends provide comfort, emotional support, and assistance with decision-making. This result is supported by a study done in Turkey, which proves that family support helps people tackle multiple subscales of burnout and hopelessness.[23] Another study that assessed levels of hopelessness and depression among Mexican-heritage mothers proved that receiving family support was an important protective factor against hopelessness.[24] Similarly, a study on Indian Americans also backs up the idea that having a supportive family can help prevent developing anxiety and depression symptoms.[25] Another study done in China provides a high association between social support and the preservation of positive mental health during COVID-19.[26]
Limitations and strengths
There are a few limitations identified in this study. First, it was a cross-sectional study at one institution, which limits the generalizability of findings. The use of self-reported questionnaires was a second limitation of this study due to the chances of bias and inaccurate responses. Thus, longitudinal studies on samples from multiple healthcare institutions are recommended.
The strengths of this study lie in the fact that these findings, specifically family support and gender difference, can aid institutions in designing and implementing more effective mental support programs. These programs can alleviate the burdens of future public health crises and pandemics. Another strength of this study is that it included many nationalities other than the Saudi nationality and a wide range of age groups, which can help institutions develop more precise support programs that suit all HCWs.
Conclusion
The relationship between psychosocial support and the mental health of HCWs during COVID-19 was identified. Among subspecialties, there were not any significant differences regarding the levels of depression, anxiety, and stress. However, despite the indication that the majority of HCWs did not receive regular check-ins nor targeted interventions, there was a slightly positive impact on HCWs who did. The presence of immediate supervisors or regular check-ins during COVID-19 alleviated some of the burdens of HCWs and increased their efficacy at work. Moreover, males were more satisfied with regular check-ins, and they had significantly less anxiety and stress than females.
Notwithstanding, the results of this study might have had confounding factors that were not considered, such as gender discrimination and sincerity and seriousness in answering the survey questions. For this reason, further investigations on larger samples are needed to investigate these confounding factors to get more accurate results. Replicative studies on the national level that include all Saudi hospitals are recommended to find out whether they have support programs for HCWs. Such studies will allow researchers to appraise differences between hospital psychosocial support programs and compare their effectiveness and impact on HCWs more efficiently. More importantly, mental support programs should be available for all HCWs around the world for free.
Significance of the study
As prevention is a fundamental goal in family medicine and primary care, this research is essential because it focuses on prevention rather than treatment. Preventing psychological stressors among HCWs can stop the development of future physiological illnesses, social problems, and socioeconomic financial burdens. The problem of HCWs being at high risk for potential mental and social complications sheds light on the necessity for all institutions to develop efficient psychosocial support programs to improve the quality of HCWs’ lives and performance. Not all institutions will develop such programs for their workers because these programs need careful planning and funding. To make all hospitals and institutions apply such programs, specific strategies planned and enforced by the government are highly advised. Such strategies include but are not limited to hotline phone consultations, online consultations, regular self-check-ins, mental health education programs, and mental health clinics specified for employees. To apply such programs at the national and international levels and improve the overall mental health of HCWs, a lot of information is needed about the existence and effectiveness of such programs. There is a lack of such information in many countries worldwide, including the Kingdom of Saudi Arabia; hence, this study adds necessary information to a prominent missing gap.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
References
- 1.Nishiura H, Jung SM, Linton NM, Kinoshita R, Yang Y, Hayashi K, et al. The extent of transmission of novel coronavirus in Wuhan, China, 2020. J Clin Med. 2020;9:330. doi: 10.3390/jcm9020330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.World Health Organization. Coronavirus disease (COVID-19) weekly epidemiological updates and monthly operational updates. 2020. [Last accessed on 2020 Nov 27]. Available from:https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports .
- 3.World Health Organization. WHO coronavirus disease (COVID-19) dashboard (Saudi Arabia) 2020. [Last accessed on 2020 Nov 27]. Available from:https://covid19.who.int/region/emro/country/sa .
- 4.World Health Organization. Coronavirus disease (COVID-19) situation report –174. 2020. [Last accessed on 2020 Nov 27]. Available from:https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200712-covid-19-sitrep-174.pdf?sfvrsn=5d1c1b2c2 .
- 5.Alwaqdani N, Amer H, Alwaqdani R, Almansour FM, Alzoman HA, Saadallah A, et al. Psychological impact of COVID-19 pandemic on healthcare workers in Riyadh, Saudi Arabia: Perceived stress scale measures. J Epidemiol Glob Health. 2021;11:377–88. doi: 10.1007/s44197-021-00014-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Tomlin J, Dalgleish-Warburton B, Lamph G. Psychosocial support for healthcare workers during the COVID-19 pandemic. Front Psychol. 2020;11:1960. doi: 10.3389/fpsyg.2020.01960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Gong Y, Huang W, Yuan K, Yan W, Sun Y, Ran M, et al. Psychological impact of the COVID-19 pandemic on healthcare workers: A cross-sectional study in China. Gen Psych. 2020;33:e100259. doi: 10.1136/gpsych-2020-100259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Malhotra S, Kumari S, Mujeeb A, Khalfan M. Psychological impact on healthcare professionals during a public health crisis: A cross-sectional study of healthcare workers in MOHAP during the pandemic (COVID-19) 2020, United Arab Emirates. Womens Health. 2021;10:1–3. [Google Scholar]
- 9.Khalid I, Khalid TJ, Qabajah MR, Barnard AG, Qushmaq IA. Healthcare workers emotions, perceived stressors and coping strategies during a MERS-CoV outbreak. Clin Med Res. 2016;14:7–14. doi: 10.3121/cmr.2016.1303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ministry of Health. Saudi Arabia's experience in health preparedness and response to COVID19 pandemic. 2020. [Last accessed on 2020 Nov 27]. Available from:MOH Publications-Saudi Arabia's Experience in Health Preparedness and Response to COVID-19 Pandemic .
- 11.Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, et al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Net Open. 2020;3:e203976. doi: 10.1001/jamanetworkopen.2020.3976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Barello S, Falcó-Pegueroles A, Rosa D, Tolotti A, Graffigna G, Bonetti L. The psychosocial impact of flu influenza pandemics on healthcare workers and lessons learnt for the COVID-19 emergency: A rapid review. Int J Public Health. 2020;65:1205–16. doi: 10.1007/s00038-020-01463-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kirk AHP, Chong SL, Kam KQ, Huang W, Ang LSL, Lee JH, et al. Psychosocial impact of the COVID-19 pandemic on paediatric healthcare workers. Ann Acad Med Singap. 2021;50:203–11. [PubMed] [Google Scholar]
- 14.Alghamdi T. Balance between career and family life among female doctors in King Abdul- Aziz Medical City, Riyadh, Saudi Arabia. Int J Med Sci Public Health. 2014;3:203–11. [Google Scholar]
- 15.Elsayed MEG, El-Abasiri RA, Marzo RR, Dardeer KT, Kamal MA, Abdelaziz H, et al. Mental health, risk perception, and coping strategies among healthcare workers in Egypt during the COVID-19 pandemic. PLoS One. 2023;18:e0282264. doi: 10.1371/journal.pone.0282264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.De Kock JH, Latham HA, Leslie SJ, Grindle M, Munoz SA, Ellis L, et al. A rapid review of the impact of COVID-19 on the mental health of healthcare workers: Implications for supporting psychological well-being. BMC Public Health. 2021;21:104. doi: 10.1186/s12889-020-10070-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Alshams H, Jabr H, Miqbas G, Alali I, Alsaleh MM, Alnasser H, et al. The psychological impact of COVID-19 on healthcare workers in Saudi Arabia. IJMDC. 2021;18:6076. [Google Scholar]
- 18.Geoffroy PA, Le Goanvic V, Sabbagh O, Richoux C, Weinstein A, Dufayet G, et al. Psychological support system for hospital workers during the COVID-19 outbreak: Rapid design and implementation of the Covid-Psy hotline. Front Psych. 2020;11:511. doi: 10.3389/fpsyt.2020.00511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gramaglia C, Marangon D, Azzolina D, Guerriero C, Lorenzini L, Probo M, et al. The mental health impact of 2019-nCOVID on healthcare workers from North-Eastern Piedmont, Italy. Focus on burnout. Front Public Health. 2021;9:667379. doi: 10.3389/fpubh.2021.667379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.López-Atanes M, Pijoán-Zubizarreta JI, González-Briceño JP, Leonés-Gil EM, Recio-Barbero M, González-Pinto A, et al. Gender based analysis of the psychological impact of the COVID-19 pandemic on healthcare workers in Spain. Front Psychiatry. 2021;12:692215. doi: 10.3389/fpsyt.2021.692215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.World Health Organization. Gender equity in the health workforce: Analysis of 104 countries. 2019. [Last accessed on 2020 Dec 29]. Available from:Gender equity in the health workforce: Analysis of 104 countries (who.int)
- 22.Byrne JP, Humphries N, McMurray R, Scotter C. COVID-19 and healthcare worker mental well-being: Comparative case studies on interventions in six countries. Health Policy. 2023;135:104863. doi: 10.1016/j.healthpol.2023.104863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Karagöl A, Törenli Kaya Z. Healthcare workers'burn-out, hopelessness, fear of COVID-19 and perceived social support levels. Eur J Psychiatry. 2022;36:200–6. doi: 10.1016/j.ejpsy.2022.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Marsiglia F, Kulis S, Perez H, Bermudez-Parsai M. Hopelessness, family stress, and depression among Mexican-heritage mothers in the Southwest. Health Soc Work. 2011;36:7–18. doi: 10.1093/hsw/36.1.7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.McKinley CE, Boel-Studt S, Renner LM, Figley CR. Risk and protective factors for symptoms of depression and anxiety among American Indians: Understanding the roles of resilience and trauma. Psychol Trauma. 2021;13:16–25. doi: 10.1037/tra0000950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Li S, Xu Q. Family support as a protective factor for attitudes toward social distancing and in preserving positive mental health during the COVID-19 pandemic. J Health Psychol. 2022;27:858–67. doi: 10.1177/1359105320971697. [DOI] [PubMed] [Google Scholar]
