Literature DB >> 32765131

Obstetrics Healthcare Providers' Mental Health and Quality of Life During COVID-19 Pandemic: Multicenter Study from Eight Cities in Iran.

Homeira Vafaei1, Shohreh Roozmeh1, Kamran Hessami1,2, Maryam Kasraeian1, Nasrin Asadi1, Azam Faraji1, Khadije Bazrafshan1, Najmieh Saadati3, Soudabeh Kazemi Aski4, Elahe Zarean5, Mahboobeh Golshahi6, Mansoureh Haghiri7, Nazanin Abdi8, Reza Tabrizi9, Bahram Heshmati10, Elham Arshadi11.   

Abstract

BACKGROUND: The coronavirus disease of 2019 (COVID-19) pandemic has become the most challenging issue for healthcare organizations and governments all over the world. The lack of evidence-based data on the management of COVID-19 infection during pregnancy causes an additional stress for obstetrics healthcare providers (HCPs). Therefore, this study was undertaken to evaluate depression, perceived social support, and quality of life among obstetrics HCPs.
MATERIALS AND METHODS: This cross-sectional multicenter study was conducted in eight cities in Iran. During the study period, 599 HCPs were separated into direct, no direct, and unknown contact groups according to their exposure to COVID-19-infected pregnant patients. The Patient Health Questionaire-9 (PHQ-9), Multidimensional Scale of Perceived Social Support (MSPSS), and Short Form-36 (SF-36) were used to assess depression, perceived social support, and quality of life.
RESULTS: Obstetrics and gynecology specialists had significantly higher social functioning and general health scores compared to other HCPs (residents/students or nurses/midwives). Depression was negatively correlated with most of the domains of quality of life, regardless of the COVID-19 contact status of the study participants. Social support, however, was positively correlated with some domains of quality of life, such as physical functioning, energy/fatigue, and emotional well-being, among staff members who had either direct contact or no contact with COVID-19 patients.
CONCLUSION: During the COVID-19 outbreak, the depression score among obstetrics HCPs was negatively associated with quality of life. Social support, however, had a reinforcing effect on quality of life.
© 2020 Vafaei et al.

Entities:  

Keywords:  COVID-19; SARS-CoV 2; coronavirus; healthcare provider; obstetrics; quality of life

Year:  2020        PMID: 32765131      PMCID: PMC7373406          DOI: 10.2147/PRBM.S256780

Source DB:  PubMed          Journal:  Psychol Res Behav Manag        ISSN: 1179-1578


Introduction

The coronavirus disease of 2019 (COVID-19) pandemic is the most important and challenging issue today for healthcare organizations and governments all over the world. The first case of COVID-19 was reported in Wuhan, China, on December 31, 2019.1 Due to its highly contagious nature, this virus can spread easily by respiratory droplets to individuals in close contact with either symptomatic patients or asymptomatic carriers in the incubation period.2 Many countries around the world have reported travel-associated, confirmed-infected cases; unfortunately, this global health issue has grown rapidly into a pandemic.3,4 During the outbreak of this infectious disease, fear may increase because of the emergence of extraordinary conditions; rumors and poor information regarding a disease outbreak in social networks may also worsen the situation.5 During the recent COVID-19 pandemic, more than 50% of the general population rated the psychological impact of the outbreak as moderate or severe.6 Because of the emergence of COVID-19, hospitals were overwhelmed with suspected cases and this led to field hospitals being set up by governments in some cities. Because of the insufficient number of healthcare providers (HCPs) and the large number of patients, the leaves of many members of medical staffs were canceled, and some medical service providers were given extended shifts. HCPs are among the most vulnerable groups for psychiatric problems, and they need special consideration to cope with the emerging challenges in their workplace.7,8 In similar infectious disease outbreaks, HCPs have experienced disaster-related psychological distress and other adverse events,9–12 which have been shown to be prevented or at least minimized after comprehensive programs to help HCPs were applied.13,14 Previous research has shown that occupational stress caused by over-working, a lack of facilities, and a lack of social support are negatively correlated with the quality of life among nurses.15 As the recent outbreak has highlighted the fragility of psychological resilience, attention must be given to the psychological state of healthcare workers during the COVID-19 pandemic.16 Unfortunately, the lack of evidence-based data on the management of pregnant patients infected with COVID-1917 has induced feelings of helplessness and hopelessness for most HCPs, which can potentially affect their life quality. Caring for pregnant women infected with COVID-19 exerts an additional stress on obstetrics staff members because of the possible associations of COVID-19 infection with maternal morbidity and mortality. Moreover, the unknown impact of the virus on fetal development and the possibility of vertical transmission of the virus to the fetus are other worrisome problems for obstetricians.18,19 The mental health of obstetrics HCPS is one of the most important issues in the COVID-19 outbreak because HCPs suffering from psychological distress are at higher risk for medical error and the subsequent diminished quality of services given to pregnant women, who are of special concern. The majority of research on COVID-19 infection has been focused on screening and treatment methods; only a few studies have evaluated the effects of the COVID-19 outbreak on the mental health and life quality of HCPs. The current study aimed to compare the perceived social support, quality of life, and depression status of obstetrics HCPS caring for both COVID-19 positive and negative pregnant women in eight different cities in Iran.

Materials and Methods

Ethics Statement

This study was conducted according to the ethical standards of Shiraz Medical University (Ethics code: IR.SUMS.REC.1398.1397). Participants were allowed to refuse to participate with no problems or considerations. In the first page of the online questionnaire (at ), study participants were asked to give consent to participate before being guided to the questionnaire; only after participants gave informed consent were able to continue to the next pages.

Study Design and Population

This cross-sectional multicenter study took place 3 weeks after the first COVID-19 case in Iran was reported on February 19, 2020. A total of 599 HCPs working in obstetrics wards in eight different cities in Iran who were assigned to care for pregnant women suspected of or confirmed as being infected with COVID-19. The current study designated three different zones in Iran. The red zone refers to cities that have had pregnant women with confirmed COVID-19 infection admitted to hospitals and in direct contact with the obstetrics staff (Tehran, Rasht, and Isfahan). The yellow zone refers to the cities in which obstetrics staff members were in touch with suspected but unconfirmed cases (Bandar Abbas, Kerman, Kermanshah), and the green zone refers to cities in which no suspected or confirmed COVID-19 cases were admitted to hospitals during the study period (Shiraz and Ahvaz).

Inclusion/Exclusion Criteria

This study enrolled HCPs (physicians, nurses, and midwives) from obstetrics wards who were assigned to care for pregnant women either suspected or confirmed of being infected with COVID-19. All participants had at least 2 shifts weekly (16 h) and were actively engaged in the management of pregnant women either confirmed or suspected of COVID-19 infection during the study period. Any staff member who could not access the Internet to complete the online questionnaire or who was unable to complete the self-report questionnaire was excluded from the study.

Diagnosis of the Pregnant Women with COVID-19 Infection

Information about pregnant women either infected with or suspected of having COVID-19 in each city of Iran was obtained from the Iranian Ministry of Health. Confirmed or suspected COVID-19 pneumonia cases in pregnant women were diagnosed according to the interim guidance by the Centers for Disease Control and Prevention (CDC). Pregnant women with fever and signs and symptoms of a lower respiratory tract infection and women with fever or signs and symptoms of a lower respiratory tract infection plus a positive history for traveling to high-risk geographical areas or a history of close contact with a confirmed COVID-19 case within 14 days were isolated immediately in well-ventilated units, and HCPs were provided with face masks and gloves. Specimens for confirmation of COVID-19 infection were collected by nasopharyngeal swap, and then pregnant patients were admitted to hospitals equipped with obstetrics units. Additional personal protective equipment (PPE) (eg, N95 respirators, gowns, face shields) were given to HCPs who were in close contact with confirmed cases of COVID-19 infection.

Data Collection

Data were collected by the online questionnaire available in the form of Porsline, an online questionnaire software in Iran (). First, the questionnaire was sent to some of the participants in one of the target centers to obtain feedback regarding the clarity of the questions. Then, it was sent to all participants on social network (WhatsApp and Telegram). The questionnaires were returned automatically upon completion by each participant. All completed questionnaires were received between March 9, 2020 and March 16, 2020.

Measurement of Depression

The Patient Health Questionnaire-9 (PHQ-9) was used to measure depression scores in this study. This questionnaire contains nine simple and easy-to-answer questions scored as 0 (not at all), 1 (several days), 2 (more than half of the days), or 3 (every day). Total possible score ranged from 0 to 27. The levels of depression of the participants were categorized as severe (score of 20 or higher), moderate to severe (score of 15–19), mild to moderate (score of 10–14), mild (score of 5–9), and normal (score below 5). The reliability and validity of this survey in epidemiological research were previously demonstrated in an Iranian population.20

Measurement of Perceived Social Support

The Multidimensional Scale of Perceived Social Support (MSPSS) was used to assess the sufficiency of each participant’s social support. This questionnaire contained 12 items scored from 1 (very strongly disagree) to 7 (very strongly agree). These items evaluated family, friends, and other types of social support. A total final score from 1 to 2.9, from 3 to 5, or from 5.1 to 7 was considered as a low, moderate, or high level of perceived social support, respectively.21 Previous research has confirmed the validity and reliability of this scale in the Iranian population.22

Measurement of Quality of Life

The Short Form-36 (SF-36) survey was used to evaluate quality of life. This survey had 36 items for evaluating the status of the two main aspects of physical and mental health. The main aspect of physical health had 4 subgroups, ie, physical functioning, pain, general health, and limitations due to physical health, and limitations due to emotional problems, emotional well-being, social functioning, and energy/fatigue were the subgroups included in the mental health aspect of quality of life. The parts assessing physical and mental health were scored separately from 0 to 100. Lower scores indicated severe impairment and higher scores represented better functions in each item. The Persian Version of the SF-36 Quality of Life Index has been shown to be a reliable and valid measurement tool in Iranian populations.23

Statistical Analysis

All statistical analyses were conducted using SPSS version 20.0 (IBM, Armonk, NY, USA). Data are presented as number and percentage (%), mean and (SD), or median (interquartile range) as appropriate. One-way ANOVA, Chi–square, and Kruskal Wallis tests were used to compare categorical or continuous variables (outcome measures). Additionally, the Spearman test was applied to evaluate the relationship between depression, perceived social support, and quality of life domains. A p-value less than 0.05 was interpreted as statistically significant.

Results

Demographic Characteristics

As shown in Table 1, 599 female HCPs, including 275 (45.9%) nurses/midwives, 194 (32.4%) obstetrics and gynecology (OB & GYN) specialists, and 130 (21.7%) resident physicians/medical students who were practicing in maternity units during the study period completed this survey. The majority of participants 251 (41.9%) were in the 30–40-year-old age group. A total of 253 (42.2%) participating HCPs had major roles in the diagnosis, treatment, or care of patients with documented COVID-19 infection. Furthermore, 240 (40.1%) HCPs had no direct contact with COVID-19 patients, and 106 (17.7%) of the total study population had close contact with suspected COVID-19 patients; they were categorized as the unknown group in this study.
Table 1

Characteristics of 599 Studied Participants

Age (Years)Number (%)
 20–30157 (26.2)
 30–40251 (41.9)
 40–50130 (21.7)
 ≥ 5061 (10.2)
Profession
 Obstetrics and gynecology specialist194 (32.4)
 Resident physician/medical student130 (21.7)
 Nurse/Midwife275 (45.9)
 Marital status
 Married433 (72.3)
 Single166 (27.7)
Close contact with confirmed patients with COV-19
 Yes253 (42.2)
 No240 (40.1)
 Unknown106 (17.7)
Characteristics of 599 Studied Participants

Evaluation of Depression, Perceived Social Support, and Quality of Life Among HCPs of Obstetrics Wards

Table 2 shows the results of the comparison of the PHQ, perceived social support, and quality of life scores among HCPs according to their contact status with COVID-19 patients. The mean (SD) of PHQ depression scores for maternity unit HCPs from red (direct contact), green (no contact) and yellow (unknown) zones were 8.3 (6.2), 8.3 (6.0), and 7.2 (5.7), respectively, which showed no statistically significant difference (p=0.254). Compared with HCPs who had no direct contact with COVID-19 patients (green zone) or their contact was unknown (yellow zone), those in the direct contact group (red zone) had higher scores of family support (median [IQR]: 5.7 [5.1–6.5], p=0.015). There were no statistically significant differences among HCPs groups based on COVID-19 contact status for scores of friend support (p=0.72); however, in terms of other types of social support, HCPs in the yellow zone had significantly higher scores as compared to the other two groups (median [IQR]: 5.7 [5.1–6.5], p=0.015). HCPs from the yellow zone had significantly higher scores in two domains of quality of life when compared to their counterparts in the red and green zones: limitations due to physical health (median [IQR]: 75 [50-100], p=0.002) and limitations due to emotional problems (median [IQR]: 83.3 [33.3–100], p=0.015). There were no significant differences among the study groups in other domains of quality of life, including physical functioning, energy/fatigue, emotional well-being, social functioning, pain, and general health (Table 2).
Table 2

Comparison of Depression, Perceived Social Support and Quality of Life in Participants by Contact Status

Close Contact with Confirmed Patients with COVID-19
Yes (Red Zone)No (Green Zone)Unknown (Yellow Zone)P-value
PHQ total score8.3 ± 6.28.3 ± 6.07.2 ± 5.70.254
Depression
 Normal82 (33.3)74 (32.3)36 (36)0.782
 Minimal Symptom74 (3.1)70 (30.6)35 (35)
 Minor depression47 (19.1)54 (23.6)17 (17)
 Major depression (moderately severe)27 (11)20 (8.7)8 (8)
 Major depression (severe)16 (6.5)11 (4.8)4 (4)
Perceived social support
 Family support5.7 [5.1–6.5]5.5 [4.8–6]5.5 [5–6.2]0.015
 Friend support5.7 [4.7–6.2]5.5 [4.5–6]5.5 [5–6]0.072
 Other types of social support5.7 [5.2–6.5]5.5 [5–6.2]6 [5.2–6.5]0.023
Quality of life90 [80–100]90 [78.7–100]90 [80–100]0.709
Physical aspect Physical functioning Limitations due to physical health Pain General health
50 [25–100]50 [25–100]75 [50–100]0.002
80 [55–100]8 [55–100]90 [65–100]0.198
75 [55–90]75 [55–90]70 [60–85]0.947
Mental aspect Social functioning Energy/fatigue Emotional well-being Limitations due to emotional problems53 [37–75]53 [37–75]62.5 [37.5–75]0.716
55 [40–70]55 [45–70]60 [45–71.2]0.427
60 [44–72]60 [44–73]60 [51–76]0.543
33.3 [33.3–100]33.3 [0–100]83.3 [33.3–100]0.015

Notes: Data are mean ± SD, number (%), or median (IQR); P-values calculate by One way of ANOVA, Chi-square test or Kruskal Wallis Test.

Comparison of Depression, Perceived Social Support and Quality of Life in Participants by Contact Status Notes: Data are mean ± SD, number (%), or median (IQR); P-values calculate by One way of ANOVA, Chi-square test or Kruskal Wallis Test. As shown in Table 3, similar analyses were performed according to the profession of the HCPs. HCPs were divided into 3 groups of OB/GYN specialists, resident physicians/medical students, and nurses/midwives. There was no significant difference among these groups in terms of total PHQ and perceived social support scores (p>0.05). Furthermore, OB/GYN specialists had significantly higher social functioning (median [IQR]: 62.5 [50–87.5]) and general health scores (median [IQR]: 85 [60-95]) when compared to the other study groups (p=0.003 and p=0.002, respectively).
Table 3

Comparison of Depression, Perceived Social Support and Quality of Life in Participants by Profession of HCPs

Obstetrics and Gynecology SpecialistResident Physician/Medical StudentNurse/MidwifeP-value
PHQ total score7.4 ± 5.78.6 ± 6.89.0 ± 6.20.166
Depression
 Normal44 (45.8)13 (27.7)25 (24.3)0.074
 Minimal Symptom22 (22.9)16 (34)36 (35)
 Minor depression18 (18.8)9 (19.1)20 (19.4)
 Major depression (moderately severe)8 (8.3)4 (8.5)15 (14.6)
 Major depression (severe)4 (4.2)5 (10.6)7 (6.8)
Perceived social support
 Family support5.7 [5–6.5]5.7 [5–6.4]5.7 [5.2–6.5]0.940
 Friend support5.7 [5–6.2]5.5 [4.5–6.2]5.7 [4.7–6.5]0.418
 Other types of social support5.7 [5.1–6.5]5.7 [5.2–6.5]6 [5.3–6.5]0.633
Quality of life90 [80–100]95 [87.5–100]90 [75–100]0.050
Physical aspect: Physical functioning Limitations due to physical health Pain General health
75 [25–100]50 [25–87.5]50 [25–70]0.476
90 [55–100]80 [51.2–100]75 [55–100]0.300
85 [60–95]65 [55–85]70 [55–80]0.002
Mental aspect: Social functioning Energy/fatigue Limitations due to emotional problems Emotional well-being62.5 [5087.5]50 [37.5–62.5]50 [37.5–62.5]0.003
60 [45–70]50 [32.5–67.5]50 [35–70]0.182
66.7 [33.3–100]33.3 [33.3–100]50 [0–100]0.827
68 [44–76]56 [40–72]56 [44–72]0.208

Notes: Data are mean ± SD, number (%), or median (IQR); P-values calculate by One way of ANOVA, Chi-square test or Kruskal Wallis Test.

Comparison of Depression, Perceived Social Support and Quality of Life in Participants by Profession of HCPs Notes: Data are mean ± SD, number (%), or median (IQR); P-values calculate by One way of ANOVA, Chi-square test or Kruskal Wallis Test.

Correlation Analysis Between Depression and Quality of Life with Social Support

The correlations between depression and perceived social support and the domains of quality of life are shown in Table 4. The results showed that depression was negatively correlated with most domains of quality of life, regardless of the COVID-19 contact status of HCPs. Family support, friend support, and significant other social support were positively correlated with some domains of quality of life, such as physical functioning, energy/fatigue, and emotional well-being, in both groups from the red and green zones. Family support and friend support also seemed to be positively correlated with general health. None of the perceived social support factors seemed to be significantly correlated with quality of life in the unknown contact group. The same correlation analysis was conducted based on the profession of HCPs, and the results are shown in Table 5. Similarly, depression was negatively correlated with quality of life in all groups. Additionally, perceived social support had significant correlations with some domains of quality of life, which are detailed in Table 5.
Table 4

Correlation Analysis Between Depression and Quality of Life with Social Support in Participants by Contact with COVID-19 Patient

Quality of LifeContact with COVID-19 (Red Zone)No Contact with COVID-19 (Green Zone)Unknown Contact with COVID-19 (Yellow Zone)
DepressionFamily SupportFriend SupportOther Types of SupportDepressionFamily SupportFriend SupportOther Types of SupportDepressionFamily SupportFriend SupportOther Types of Support
Physical aspect: Physical functioning Limitations due to physical health Pain General health−0.368**0.191**0.138*0.153*−0.279**0.211**0.183**0.235−0.516**0.1720.202*0.166
−0.437**0.144*0.1150.097−0.453**0.1110.096−0.033−0.458**−0.065−0.111−0.013
−0.406**0.1250.1130.093−0.421**0.245**0.250**0.19**−0.419**−0.0070.0520.067
−0.481**0.178**0.151*0.142−0.451**0.239**0.220**0.132−0.403**0.0530.1870.196
Mental aspect: Emotional well-being Social functioning Energy/fatigue Limitations due to emotional problems−0.728**0.196**0.211**0.160*−0.719**0.342**0.320**0.230**−0.664**0.1610.1910.141
−0.396**0.0910.1130.101−0.334**0.1200.069−0.062−0.1940.0550.058−0.003
−0.762**0.21**0.230**0.150*−0.732**0.344**0.315**0.252**−0.663**0.0360.0750.050
−0.498**0.138*0.1200.169**−0.445**0.170*0.162*0.021−0.496**−0.058−0.0940.033

Notes: *P-values < 0.05; **P-values < 0.01.

Table 5

Correlation Analysis Between Depression and Quality of Life with Social Support in Participants by Their Profession

Quality of LifeObstetrics and Gynecology SpecialistResident Physician/Medical StudentNurse/Midwife
DepressionFamily SupportFriend SupportOther Types of SupportDepressionFamily SupportFriend SupportOther Types of SupportDepressionFamily SupportFriend SupportOther Types of Support
Physical aspect: Physical functioning Limitations due to physical health Pain General health−0.281**0.1840.1390.160−0.569**0.405**0.2520.403**−0.369**0.1320.1220.064
−0.452**0.1630.1190.152−0.532**0.0790.1780.233−0.370**0.1720.0630.002
−0.282**0.1280.1190.060−0.566**0.2720.1460.313*−0.416**0.0800.0810.050
−0.572**0.265*0.225*0.228*−0.495**0.1070.0740.258−0.360**0.1270.0790.036
Mental aspect: Emotional well-being Social functioning Energy/fatigue Limitations due to emotional problems−0.705**0.362**0.283**0.207*−0.734**0.2830.1620.448**−0.728**0.0050.138−0.018
−0.261*0.1010.0470.074−0.387**0.2350.1990.219−0.428**0.0240.0890.128
−0.774**0.309**0.228*0.103−0.746**0.430**0.323*0.573**−0.737**0.0270.1500.004
−0.553**0.239*0.1390.222*−0.445**0.0500.1460.298*−0.474**0.1060.0860.089

Notes: *P-values < 0.05; **P-values < 0.01.

Correlation Analysis Between Depression and Quality of Life with Social Support in Participants by Contact with COVID-19 Patient Notes: *P-values < 0.05; **P-values < 0.01. Correlation Analysis Between Depression and Quality of Life with Social Support in Participants by Their Profession Notes: *P-values < 0.05; **P-values < 0.01.

Discussion

To the best of our knowledge, this study is the first of its kind to focus on the mental health, quality of life, and perceived social support of HCPs working in obstetrics wards during the recent COVID-19 outbreak. Maternal and neonatal health, the charge of obstetrics HCPs, are two of the most important community health indicators worldwide. Today, the mental health of HCPs has been significantly affected by COVID-19 outbreak in various aspects. A recent survey reported an increased risk of depression, anxiety, and insomnia especially among female HCPs during the COVID-19 emergence, prompting psychological preventive measures or interventions.8 Liu et al showed that medical staff members in China who had close contact with COVID-19 patients had much higher levels of anxiety and depression when compared with their counterparts who had no contact. Close contact with COVID-19 patients was also shown to negatively affect the medical staff’s quality of life.14 In contrast, a recent study conducted in Singapore found that there was higher prevalence of anxiety among non-medical healthcare workers without direct contact compared to medical personnel who might have direct contact with COVID-19 cases. The contradictory findings in Singapore could be due to the fact that COVID-19 was a less severe problem in Singapore as compared to China, and frontline healthcare workers encountered lower levels of anxiety and depression.24 In another study by Xiao et al25 conducted during the COVID-19 pandemic, it was shown that medical staff’s social support level was positively associated with self-efficacy and quality of sleep; however, it had a negative association with stress and anxiety. In the current study, the average PHQ depression scores for obstetrics HCPs with direct, no direct, and unknown contacts with pregnant women infected with COVID-19 had no statistically significant differences. However, the correlation analysis results showed that the depression score was negatively correlated with most domains of quality of life regardless of the contact status of HCPs. The current results also revealed that HCPs with an unknown contact status had higher scores of limitations due to physical health and due to emotional problems as compared to their counterparts with or without direct contact. During the COVID-19 outbreak in Iran, the shortage of masks and other PPEs was among the main causes of distress for HCPs all over the country. In this critical situation, HCPs who had close contact with confirmed COVID-19 cases received all the required advanced PPEs, while those with no direct or unknown contact received only surgical masks and gloves. Therefore, the lack of PPEs for those HCPs who had contact with suspected cases may have led to higher limitations due to physical health and emotional problems, because this group of HCPs were worried about the contagiousness of the disease and perceived themselves to be more susceptible to COVID-19 infection. The results of the current study further showed that OB/GYN specialists had higher social functioning and general health scores when compared to resident physicians/medical students and nurses/midwives. Routinely in Iran’s teaching hospitals, resident physicians, medical students, nurses and midwives are the first line of contact with patients. Screening, admitting, and isolating the COVID-19-infected pregnant women were done mostly by the first-line HCPs before OB/GYN specialists were exposed to the patients. Thus, first-line residents/students or nurses may have additional stress and fear of facing unknown conditions compared to specialists. It seems that the better social functioning and general health scores of the gynecology specialists were related to this point. In line with a previous survey reporting that high-perceived social support among HCPs was positively correlated with their mental health status during the COVID-19 outbreak,14 the current findings indicated that family support, friend support, and other types of social support were positively correlated with some domains of quality of life, such as physical functioning, energy/fatigue, and emotional well-being in HCPs. The main limitation of this study lies in the fact that data on quality of life, perceived social support, or depression status of HCPs before the COVID-19 outbreak was not available. Thus, this study was unable to determine whether or not the disease outbreak has changed baseline scores.

Conclusion

The results of this study showed that depression and perceived social support can significantly affect the quality of life among obstetrics HCPs, regardless of their contact with COVID-19 patients. Hence, it seems that HCPs’ mental health during the COVID-19 pandemic must be considered, and psychological support may improve their mental health and indirectly improve the quality of maternal health.
  20 in total

1.  The Novel Coronavirus Originating in Wuhan, China: Challenges for Global Health Governance.

Authors:  Alexandra L Phelan; Rebecca Katz; Lawrence O Gostin
Journal:  JAMA       Date:  2020-02-25       Impact factor: 56.272

2.  Risk perception and impact of Severe Acute Respiratory Syndrome (SARS) on work and personal lives of healthcare workers in Singapore: what can we learn?

Authors:  David Koh; Meng Kin Lim; Sin Eng Chia; Soo Meng Ko; Feng Qian; Vivian Ng; Ban Hock Tan; Kok Seng Wong; Wuen Ming Chew; Hui Kheng Tang; Winston Ng; Zainal Muttakin; Shanta Emmanuel; Ngan Phoon Fong; Gerald Koh; Chong Teck Kwa; Keson Beng-Choon Tan; Calvin Fones
Journal:  Med Care       Date:  2005-07       Impact factor: 2.983

3.  Immediate and sustained psychological impact of an emerging infectious disease outbreak on health care workers.

Authors:  Grainne M McAlonan; Antoinette M Lee; Vinci Cheung; Charlton Cheung; Kenneth W T Tsang; Pak C Sham; Siew E Chua; Josephine G W S Wong
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Journal:  Emerg Infect Dis       Date:  2015-05       Impact factor: 6.883

5.  Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.

Authors:  Qun Li; Xuhua Guan; Peng Wu; Xiaoye Wang; Lei Zhou; Yeqing Tong; Ruiqi Ren; Kathy S M Leung; Eric H Y Lau; Jessica Y Wong; Xuesen Xing; Nijuan Xiang; Yang Wu; Chao Li; Qi Chen; Dan Li; Tian Liu; Jing Zhao; Man Liu; Wenxiao Tu; Chuding Chen; Lianmei Jin; Rui Yang; Qi Wang; Suhua Zhou; Rui Wang; Hui Liu; Yinbo Luo; Yuan Liu; Ge Shao; Huan Li; Zhongfa Tao; Yang Yang; Zhiqiang Deng; Boxi Liu; Zhitao Ma; Yanping Zhang; Guoqing Shi; Tommy T Y Lam; Joseph T Wu; George F Gao; Benjamin J Cowling; Bo Yang; Gabriel M Leung; Zijian Feng
Journal:  N Engl J Med       Date:  2020-01-29       Impact factor: 176.079

Review 6.  Coronavirus Disease 2019 (COVID-19) and pregnancy: what obstetricians need to know.

Authors:  Sonja A Rasmussen; John C Smulian; John A Lednicky; Tony S Wen; Denise J Jamieson
Journal:  Am J Obstet Gynecol       Date:  2020-02-24       Impact factor: 8.661

7.  Effects of a SARS prevention programme in Taiwan on nursing staff's anxiety, depression and sleep quality: a longitudinal survey.

Authors:  Ruey Chen; Kuei-Ru Chou; Yu-Jou Huang; Tzong-Shi Wang; Shu-Yen Liu; Li-Yuan Ho
Journal:  Int J Nurs Stud       Date:  2005-05-31       Impact factor: 5.837

8.  Potential Maternal and Infant Outcomes from (Wuhan) Coronavirus 2019-nCoV Infecting Pregnant Women: Lessons from SARS, MERS, and Other Human Coronavirus Infections.

Authors:  David A Schwartz; Ashley L Graham
Journal:  Viruses       Date:  2020-02-10       Impact factor: 5.048

9.  Mental disorders among workers in the healthcare industry: 2014 national health insurance data.

Authors:  Min-Seok Kim; Taeshik Kim; Dongwook Lee; Ji-Hoo Yook; Yun-Chul Hong; Seung-Yup Lee; Jin-Ha Yoon; Mo-Yeol Kang
Journal:  Ann Occup Environ Med       Date:  2018-05-03

10.  Management of pregnant women infected with COVID-19.

Authors:  Yongwen Luo; Kai Yin
Journal:  Lancet Infect Dis       Date:  2020-03-24       Impact factor: 25.071

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  21 in total

1.  Psychosocial variables and quality of life during the COVID-19 lockdown: a correlational study on a convenience sample of young Italians.

Authors:  Anna Lardone; Pierpaolo Sorrentino; Francesco Giancamilli; Tommaso Palombi; Trevor Simper; Laura Mandolesi; Fabio Lucidi; Andrea Chirico; Federica Galli
Journal:  PeerJ       Date:  2020-12-18       Impact factor: 2.984

2.  COVID-19 and Obstetrical Care: Coping With New Stress.

Authors:  Ritu Sharma; Shikha Seth; Hariom K Solanki; Neha Mishra; Anurag Srivastava; Kiran Jakhar
Journal:  Cureus       Date:  2020-12-16

3.  Assessment of Psychological Distress and Associated Factors among Hospitalized Patients During the COVID-19 Pandemic at Selected Hospitals in Southwest Ethiopia.

Authors:  Solomon Hambisa; Jafer Siraj; Gebremeskel Mesafint; Mohammed Yimam
Journal:  Neuropsychiatr Dis Treat       Date:  2021-03-22       Impact factor: 2.570

4.  A survey of mental health status of obstetric nurses during the novel coronavirus pneumonia pandemic.

Authors:  Shuyue Li; Ruiyu Chai; Yingshuang Wang; Jin Wang; Xinxin Dong; Han Xu; Huiyan Wu; Isaac T S Binnay; Zhigang Liu
Journal:  Medicine (Baltimore)       Date:  2021-12-30       Impact factor: 1.889

Review 5.  Assessment of Quality of Life Among Health Professionals During COVID-19: Review.

Authors:  Usha Rani Kandula; Addisu Dabi Wake
Journal:  J Multidiscip Healthc       Date:  2021-12-30

6.  Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China.

Authors:  Xiaoxiao Chen; Qian Xu; Haijiang Lin; Jianfu Zhu; Yue Chen; Qi Zhao; Chaowei Fu; Na Wang
Journal:  BMC Public Health       Date:  2021-07-10       Impact factor: 3.295

7.  Risk perception and adherence to preventive behaviours related to the COVID-19 pandemic: a community-based study applying the health belief model.

Authors:  Aziz Kamran; Khatereh Isazadehfar; Heshmatolah Heydari; Ramin Nasimi Doost Azgomi; Mahdi Naeim
Journal:  BJPsych Open       Date:  2021-07-13

8.  Sources of Sleep Disturbances and Psychological Strain for Hospital Staff Working during the COVID-19 Pandemic.

Authors:  Nasrin Abdoli; Vahid Farnia; Somayeh Jahangiri; Farnaz Radmehr; Mostafa Alikhani; Pegah Abdoli; Omran Davarinejad; Kenneth M Dürsteler; Annette Beatrix Brühl; Dena Sadeghi-Bahmani; Serge Brand
Journal:  Int J Environ Res Public Health       Date:  2021-06-10       Impact factor: 3.390

9.  Sources of Health Anxiety for Hospital Staff Working during the Covid-19 Pandemic.

Authors:  Mehran Shayganfard; Fateme Mahdavi; Mohammad Haghighi; Dena Sadeghi-Bahmani; Serge Brand
Journal:  Int J Environ Res Public Health       Date:  2021-03-17       Impact factor: 3.390

10.  Quality of life in patients with IBD during the COVID-19 pandemic in the Netherlands.

Authors:  Ellen de Bock; Mando D Filipe; Vincent Meij; Bas Oldenburg; Fiona D M van Schaik; Okan W Bastian; Herma F Fidder; Menno R Vriens; Milan C Richir
Journal:  BMJ Open Gastroenterol       Date:  2021-07
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