RESEARCH REPORT

 

Access the article online: https://kjponline.com/index.php/kjp/article/view/490

doi:10.30834/KJP.38.1.2025.490.

Received on:19/12/2024      Accepted on: 28/05/2025 

Web Published:10/06/2025

 

 

 
                                                                                                                                                                                                                            
OPEN ACCESS | Research Report | Published Online: 10th  June 2025                                                                           

PSYCHOLOGICAL OUTCOMES AMONG COVID-19-INFECTED AND NON-INFECTED HEALTHCARE WORKERS FROM A TERTIARY CARE CENTER IN NORTH INDIA: A CROSS-SECTIONAL COMPARATIVE STUDY

                                                                                                                                                                                                                  

Nisha Jangid1, Jaison Joseph2*, Rajeshwari Devi3, Sandeep Grover4

  1. Nursing Officer, Haryana Department of Health, District Hospital, Gurugram
  2. Assistant Professor, College of Nursing, AIIMS, Bibinagar, Telangana
  3. Junior Lecturer, Department of Psychiatric Nursing, Pt. B.D. Sharma University of Health Sciences Rohtak, Haryana
  4. Professor, Department of Psychiatry, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh.

*Corresponding Author: Assistant Professor, College of Nursing, AIIMS, Bibinagar, Telangana

Email: jaisonjsph@yahoo.com

 


INTRODUCTION

 

 

COVID-19, rapidly evolved into a global pandemic in 2019, impacting millions of people around the world.1 The effects of COVID-19 on global health have been widespread and complex, disrupting various facets of healthcare systems and populations globally. The disease has led to significant levels of illness and death, straining healthcare resources in many areas.2 The impact of the COVID-19 pandemic has been particularly profound on healthcare workers (HCWs) worldwide. These workers have experienced increased workloads, extended shifts, and heightened exposure to the virus, resulting in physical exhaustion. The prolonged nature of the pandemic and its associated difficulties resulted in higher rates of burnout among HCWs.3 Due to their close contact with infected patients, HCWs were at a higher risk of contracting COVID-19. In many healthcare settings, shortages of personal protective equipment (PPE) were reported, raising concerns about the adequacy of protection for these workers.4 The lack of sufficient PPE heightened the risk of infection among HCWs and exacerbated their stress and anxiety. As a result, many healthcare professionals left their jobs or took extended leaves due to concerns about their physical and mental health.5

Several studies have documented the psychological impact of COVID-19 on HCWs in India. Mental health conditions such as anxiety, depression, and PTSD have been observed at elevated rates among HCWs during the pandemic.6 There is limited research on psychological distress post-COVID among HCWs in India, both for those who got infected with the virus and those who did not. Understanding the psychological distress experienced by HCWs, regardless of their COVID-19 infection status, can provide valuable insights into the comprehensive mental health impact of the pandemic and inform targeted interventions for future pandemics. Consequently, the study aimed to explore psychological distress post-COVID among HCWs, both with and without COVID-19 infection, in a tertiary care hospital in North India.

MATERIALS AND METHODS

The present study was conducted among healthcare workers (HCWs), including doctors, nurses, and allied health professionals, employed at PGIMS, Rohtak. Data were collected over a one-month period, from 9 March to 8 April 2022. COVID-19 infection status was determined based on participants’ past test results using the real-time reverse transcription polymerase chain reaction (RT-PCR) test. The classification of participants into COVID-positive or COVID-negative groups was based on whether they had tested RT-PCR positive at any point within the last two years, as documented in hospital records. Participants who had previously tested RTPCR positive but were negative at the time of data collection were still categorized as COVID positive, since the study focused on a history of infection rather than current disease status. In addition, participants who had never tested positive by RT-PCR were categorized as COVID negative. Individuals who were only antigen positive without confirmatory RT-PCR testing were excluded from the study to ensure diagnostic accuracy and group comparability. Participants were also excluded if they had any cognitive impairment that could hinder their ability to participate in a face-to-face interview. The study was limited to healthcare workers (HCWs) who were physically present within the hospital facility during the data collection period. Sleep and regular exercise were operationally defined as sleeping for at least six to eight hours per night and engaging in physical activity at least three times per week, respectively.7

The psychological impact of COVID-19 was assessed using the Hindi versions of the Generalized Anxiety Disorder Scale (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9). Each question on these scales offered responses scored from 0 to 3, with the cumulative score indicating the severity of the symptoms. For GAD-7, scores were categorized as follows: 0-4 (minimal anxiety), 5-9 (mild anxiety), 10-14 (moderate anxiety), and 15-21 (severe anxiety).8 For the PHQ-9, scores of 5-9, 10-14, and >15 corresponded to mild, moderate, and severe depression, respectively.9 The impact of event scale–revised (IES-R) was used to measure post-traumatic stress symptoms. This 22-item scale provided scores ranging from 0 to 4 for each item, with scores between 33 and 36 indicating moderate stress, and scores above 37 indicating severe post-traumatic stress.10

HCWs on day duty during the study period were approached to participate. They received a participant information sheet detailing the study, along with informed consent forms. Participation was entirely voluntary, with participants free to withdraw at any point during data collection. Data were collected using a self-administered questionnaire that included items on socio-demographic and clinical characteristics, sleep patterns, exercise habits, and living conditions during the COVID-19 pandemic. COVID was not tested during the study; instead, participants were classified as COVID-positive or COVID-negative based on past RT-PCR test results recorded in hospital records from the previous year. The principal researcher assisted participants with any difficulties in understanding the questionnaire items.

The study received approval from the Biomedical Research Ethics Committee at UHS, Rohtak (Ref No. BREC/21/106 dated 29.10.2021). Contact information for the researcher was provided, allowing participants to reach out for any treatment-related assistance during the study.

Data were analyzed using the Statistical Package for the Social Sciences (SPSS) software, version 21 (IBM SPSS Inc., Chicago, Illinois, USA). Socio-demographic and clinical variables were summarized using frequencies and percentages for categorical variables, and means and standard deviations (SD) for continuous variables. Pearson's chi-square test (or Fisher's exact test when expected cell frequencies were below 5) was employed to compare categorical variables, while the independent sample t-test was used for quantitative data. The Kolmogorov-Smirnov test was used to determine the normality of the data distribution, and binary logistic regression was employed to predict selected outcome variables.

RESULTS

A total of 222 cases and 163 controls were included in the analysis. The mean age of the participants was 35.59 years (SD = 8.6). The majority of HCWs were female (74%), married (80%), and employed as nurses (62.6%). Most participants reported maintaining adequate sleep (78.2%), engaging in regular exercise (69.6%), and living with their families (82.9%) during the COVID-19 pandemic. Almost all participants had received the COVID-19 vaccination (99%). There was no significant difference between cases and controls on the variables as mentioned above, except for gender. (p = 0.01) (Table 1)

Table 1: Characteristics of the study subjects

Demographic variables

Control (N/%)

Cases (N/%)

Chi Square/ df

P value

Gender

  • Female
  • Male

 

106 (27.5)

57 (14.8)

 

179 (46.5)

43 (11.2)

 

11.89/1

 

0.01*

Marital status

  • Married
  • Unmarried

 

132 (34.3)

31 (8.1)

 

176 (45.7)

46 (11.9)

 

0.17/1

 

0.68

Occupation

  • Doctor 
  • Nurse
  • Others

 

 09 (1.8)

 78 (20.2)

76 (19.74)

 

  15 (3.8)

107 (27.7)

100 (25.9)

 

0.28/4

 

0.99

Regular Exercise

  • Yes
  • No 

 

47 (12.2)

116 (30.1)

 

 

70 (18.2)

152 (39.5)

 

0.32/1

 

0.57

Sleep 

  • Good 
  • Bad 

 

147 (38.1)

 36 (9.3)

 

154 (40)

48 (12.4)

 

0.72/1

 

0.39

Living Condition

  • Family
  • Alone

 

137 (35.6)

  26 (6.8)

 

182 (47.3)

40 (10.4)

 

0.28/1

 

0.59

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Overall, symptoms of depression, anxiety, and post-traumatic stress were reported in 25.7%, 13.5%, and 8.8% of participants, respectively. The study revealed a statistically significant difference in psychological distress between cases and controls. According to the PHQ-9 scale, depression was more prevalent among cases (18.7%; n=72) compared to controls (7%; n=27). Anxiety was reported by 10.4% (n=40) of cases, while only 3.1% (n=12) of controls reported anxiety. Post-traumatic symptoms were more common among cases (8.1%; n=32) compared to controls (3.1%; n=12) (Table 2).

Table 2: Association between COVID-19 status and outcome measures.

Outcomes measures 

COVID-19 positive 

N (Percentage)

COVID-19

negative 

N (Percentage)

Chi Square/ df

P value

Depression 

(PHQ-9)

Present (>10)

72 (18.7%)

27 (7%)

12.389

1

0.001*

Absent 

150 (39%)

136 (35.3%)

Anxiety

(GAD-7)

Present (>10)

40 (10.4%)

12 (3.1%)

9.136

1

0.002*

Absent 

182 (47.3%)

151 (39.2%)

Post-traumatic stress symptoms (IES-R)

Present (>33)

32 (8.1%)

12 (3.1%)

4.129

1

0.042*

Absent 

190 (49.6%)

151 (39.2%)

 

Table 3 shows the association between psychological impact and the demographic profile of the study subjects. Psychological morbidity was highest among female and unmarried participants. Depression, anxiety, and post-traumatic symptoms were more pronounced among those living alone compared to those residing with their families. Higher scores on the PHQ-9, GAD-7, and IES-R scales were observed among participants who did not maintain adequate sleep or regular exercise. 

Table 3: Association between selected sociodemographic variables and the psychological impact of COVID-19.

Demographic variables

Depression 

Mean±S.D.

Depression 

t/P value

Anxiety 

Mean±S.D.

Anxiety

t/P value

PTSD

Mean±S.D.

PTSD

t/P value

Gender

  • Male
  • Female

 

5.97 ± 3.59

7.69 ± 4.32

 

3.58

0.001*

 

4.31± 3.38

5.85± 3.60

 

3.74

0.001*

 

12.18±11.25

17.23±13.87

 

3.28

0.001*

Marital status

  • Married
  • Unmarried

 

5.90 ± 4.12

7.58 ± 4.16

 

3.19

0.002*

 

3.69 ± 3.44

5.89 ± 3.52

 

4.94

0.001*

 

10.27±13.04

17.33±13.44

 

4.22

0.001*

Living Condition

  • Family
  • Alone

 

5.79 ± 3.83

7.55 ± 4.22

 

3.13

0.002*

 

3.29± 2.83

5.90± 3.58

 

5.56

0.001*

 

9.00±10.67

17.35±13.48

 

4.73

0.001*

Regular Exercise

  • Yes
  • No 

 

6.17 ± 4.54

7.72 ± 3.97

 

3.36

0.001*

 

4.13 ± 3.70

6.03 ± 3.41

 

4.89

0.001*

 

11.74±13.81

17.74±12.83

 

4.13

0.001*

 

Adequate Sleep 

  • Yes 
  • No 

 

6.80 ± 4.10

8.85 ± 4.18

 

4.02

0.001*

 

5.13±3.85

6.60±3.45

 

3.34

0.001*

 

14.81±12.97

19.87±14.25

 

3.08

0.002*

 

A statistically significant association was found between all selected socio-demographic variables and the outcome measures (p < 0.05). The logistic regression model indicated that having contracted COVID-19 was significantly associated with developing depressive symptoms, anxiety symptoms, and post-traumatic symptoms among HCWs in this study (Table 4).

Table 4: Predictors of psychological impact of COVID-19 as per logistic regression analysis

Variables

The presence of COVID-19 infection

Adjusted odds ratio (95% CI)

 

P value

Depressive symptoms

2.418 (1.467 –3.984)

0.001

Anxiety Symptoms

2.776 (1.401 – 5.460)

0.003

Post-traumatic symptoms

2.427 (1.463 – 4.025)

0.001

 

DISCUSSION

The present study evaluated psychological distress among HCWs with and without COVID-19 infection in the Indian setting. We employed a cross-sectional comparative design to assess both the history of COVID-19 infection over the past two years and current psychological distress levels within one month, without any follow-up. Overall, we found increased levels of anxiety, depression, and post-traumatic stress symptoms among individuals infected with COVID-19. This could be because HCWs who contract COVID-19 may experience heightened levels of psychological distress due to factors such as fear of severe illness, concerns about transmitting the virus to loved ones, and the stigma associated with the disease.11 The present study also found that even HCWs who had not tested positive for COVID-19 experienced significant levels of psychological distress, including depression, anxiety, and post-traumatic symptoms. This indicates that the psychological impact of the pandemic was not limited to those who were infected. Factors such as constant fear of contracting the virus, long working hours, uncertainty about the future, financial concerns, and reduced social interaction may have played a significant role in contributing to psychological distress irrespective of COVID-19 infection status.12, 13 Different studies have shown a higher prevalence of psychological distress among persons who had developed COVID-19 infection. Some of the studies have reported a higher rate of psychological distress as part of long COVID. It is possible that these factors could have also played a role in the development of a higher rate of psychological distress in our study sample.

Our findings show that both groups, infected and uninfected HCWs, experience psychological distress. However, the nature and intensity of the distress may differ (p < 0.05), which is consistent with an earlier study.14 In this study, depression and anxiety symptoms of COVID-19 among HCWs were reported as 25.7% and 13.5%, respectively. Meta-analyses from India show varying prevalence rates of depression and anxiety, ranging from 20.2% to 33% in the general population and 20.1% to 25.0% in HCWs.15-17 The psychological impact of the pandemic is influenced by factors such as national context, pandemic preparedness, and the onset and burden of the crisis, which may explain the wide variation in reported prevalence rates.18 The present study also found that psychological morbidity was highest among female and unmarried HCWs who were living alone, and those who did not maintain adequate sleep and regular exercise during the COVID-19 outbreak period (p < 0.05). These findings are consistent with earlier research.19, 20 Given the increased demand for mental health resources during the pandemic, government policies should address the specialized mental health needs of HCWs and develop strategies to support the well-being of these frontline heroes.

Our findings need to be taken with some caution. The data collection period for the index study took place between March and April 2022. The first wave of COVID-19 in India started in March 2020 with a peak in September 2020.21 Therefore, the current findings reflect the mental health of HCWs two years after the onset of the first wave of COVID-19 in India. We observed a modest level of COVID-19-related psychological distress among HCWs in this setting, possibly due to the relatively controlled infection rate during the first wave of the pandemic in India.22 First, the study relied on self-reported measures from healthcare workers (HCWs) at a single hospital, which may not be generalizable to other settings. Second, the study was conducted several months after the COVID-19 outbreak, which may have affected the accuracy of the reported psychological impact. Third, the presence of pre-existing mental illness was not assessed, which could be a confounding factor. Finally, the ratio of cases to controls was not 1:1, as it was challenging to recruit controls who had not been infected during the pandemic.

CONCLUSION

The study found that 11–27% of HCWs experienced psychological morbidities during the COVID-19 pandemic. These findings emphasize the importance of ongoing psychological assessment and support for healthcare workers in similar pandemic situations.

Acknowledgments: The authors are truly grateful to the experts and study subjects who supported this study.

 Conflicts of interest: - There are no conflicts of interest

 Ethical clearance: the Institutional Ethics Committee - Biomedical Research Ethics Committee at UHS, Rohtak (Ref No., approved the study BREC/21/106 dated 29.10.2021).

 Financial support and sponsorship: - It is a self-funded study by all authors.

"The author(s) attest that there was no use of generative artificial intelligence (AI) technology in the generation of text, figures, or other informational content of this manuscript."

REFERENCES

  1. World Health Organization (WHO). (2020). Coronavirus disease (COVID-19) pandemic. Retrieved from   https://www.who.int/emergencies/diseases/novel-coronavirus-2019 [Last accessed on 12/01/2025]
  2. Filip R, Gheorghita Puscaselu R, Anchidin-Norocel L, Dimian M, Savage WK. Global challenges to public health care systems during the COVID-19 pandemic: a review of pandemic measures and problems. J Person Med 2022 Aug 7;12(8):1295. DOI: 10.3390/jpm12081295
  3. Leo CG, Sabina S, Tumolo MR, Bodini A, Ponzini G, Sabato E, Mincarone P. Burnout among healthcare workers in the COVID 19 era: a review of the existing literature. Front public health. 2021 Oct 29; 9:750529. DOI: 10.3389/fpubh.2021.750529
  4. Cohen J, van der Meulen Rodgers Y. Contributing factors to personal protective equipment shortages during the COVID-19 pandemic. Preventive medicine. 2020 Dec 1; 141:106263. DOI: 10.1016/j.ypmed.2020.106263
  5. Alnaeem MM, Hamdan‐Mansour AM, Nashwan AJ, Abuatallah A, Al‐Hussami M. Healthcare providers' intention to leave their jobs during COVID‐19 pandemic: A cross‐sectional study. Health Science Reports. 2022 Nov;5(6): e859. DOI: 10.1002/hsr2.859
  6. Wilson W, Raj JP, Rao S, Ghiya M, Nedungalaparambil NM, Mundra H, et al. Prevalence and predictors of stress, anxiety, and depression among healthcare workers managing COVID-19 pandemic in India: a nationwide observational study. Ind J Psychol Med 2020 Jul;42(4):353-8. DOI: 10.1177/0253717620933992
  7. Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, George SM, Olson RD. The Physical Activity Guidelines for Americans. JAMA. 2018 Nov 20;320(19):2020-2028. DOI: 10.1001/jama.2018.14854
  8. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7. Arch Intern Med.2006;166(10):1092–1097. DOI: 10.1001/archinte.166.10.1092
  9. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9 Validity of a Brief Depression severity measure. J Gen Intern Med 2001; 16:606-13. DOI: 10.1046/j.1525-1497.2001.016009606.x
  10. Beck JG, Grant DM, Read JP, Clapp JD, Coffey SF, Miller LM, et al. The Impact of Event Scale– Revised: Psychometric properties in a sample of motor vehicle accident survivors. J Anxiety Disord. 2008; 22: 187–198. DOI: 10.1016/j.janxdis.2007.02.007
  11. Vindegaard N, Benros ME. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence. Brain Behav Immun. 2020 Oct 1;89:531-42. DOI: 10.1016/j.bbi.2020.05.048
  12. Pierce M, Hope H, Ford T, Hatch S, Hotopf M, John A, Kontopantelis E, Webb R, Wessely S, McManus S, Abel KM. Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. Lancet Psychiatr. 2020 Oct 1;7(10):883-92. DOI: 10.1016/S2215-0366(20)30308-4
  13. Torales J, O’Higgins M, Castaldelli-Maia JM, Ventriglio A. The outbreak of COVID-19 coronavirus and its impact on global mental health. Int J Soc Psychiatr. 2020 Jun;66(4):317-20. DOI: 10.1177/0020764020915212
  14. Rossi R, Socci V, Pacitti F, Di Lorenzo G, Di Marco A, Siracusano A et al. Mental health outcomes among frontline and second-line health care workers during the coronavirus disease 2019 (COVID-19) pandemic in Italy. JAMA. 2020 May 1;3(5):e2010185. DOI: 10.1001/jamanetworkopen.2020.10185
  15. Sharma SK, Joseph J, Varkey BP, Dhandapani M, Varghese A, Sharma S, Kumar TKA, Kaririya S, Mathews E. Prevalence of anxiety and depressive symptoms during COVID-19 pandemic among the general population in India: A systematic review and meta-analysis. J Neurosci Rural Pract. 2022 Oct-Dec;13(4):608-617. DOI: 10.25259/JNRP-2022-1-21-R3-(2324)
  16. Chatterjee SS, Malathesh BC, Das S, John T, Seshadri SP. COVID-19 and psychological distress among the general population of India: Meta-analysis of observational studies. Indian J Community Med. 2022;47(3):381–386. [Link]
  17. Sharma SK, Joseph J, Dhandapani M, Varghese A, Radha K, Das K, Jangra N, Rozha P, Varkey BP, Rachel R. The Psychological Morbidity among Health Care Workers During the Early Phase of Covid-19 Pandemic in India: A Systematic Review and Meta-Analysis. Indian J Community Med. 2023 Jan-Feb;48(1):12-23. DOI: 10.25259/JNRP-2022-1-21-R3-(2324)
  18. Xiong J, Lipsitz O, Nasri F, Lui LM, Gill H, Phan L, et al. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. J Affect Disord. 2020; 277:55–64. DOI: 10.1016/j.jad.2020.08.001
  19. Padkapayeva K, Gilbert-Ouimet M, Bielecky A, Ibrahim S, Mustard C, Brisson C et al. Sex differences in the relationship between psychosocial work exposures and work and life stress. Annals of work exposures and health. 2018 Apr 18;62(4):416-25. DOI: 10.1093/annweh/wxy014
  20. 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 network open. 2020 Mar 2;3(3): e203976. DOI: 10.1001/jamanetworkopen.2020.3976
  21. Vizheh M, Qorbani M, Arzaghi SM, Muhidin S, Javanmard Z, Esmaeili M. The mental health of healthcare workers in the COVID-19 pandemic: A systematic review. J Diabetes Metab Disord. 2020; 19:1967–78. DOI: 10.1007/s40200-020-00643-9
  22. Ray D, Salvatore M, Bhattacharyya R, Wang L, Du J, Mohammed S, et al. Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms. Harv Data Sci Rev. 2020;2020(Suppl 1): 10. DOI: 10.1162/99608f92.60e08ed5

Please cite the article as: Jangid N, Joseph J, Devi R, Grover S. Psychological outcomes among COVID-19-infected and non-infected healthcare workers from a tertiary care center in North India: A cross-sectional comparative study. Kerala Journal of Psychiatry 2025; 38(1): 32-39.