RESEARCH REPORT

 

OPEN ACCESS | Research Report | Published Online: 10^th  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 Joseph^2*, 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

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