Journal of International Commercial Law and Technology
2025, Volume:6, Issue:1 : 1191-1207 doi: 10.61336/Jiclt/25-01-106
Research Article
Issues and Challenges in achieving Work Life Balance of health workers of Government and Private hospitals in Assam, India during COVID-19 Pandemic
1
Assistant Professor, Dept. Of Business Administration, Pragjyotish College, Guwahati
Received
Oct. 13, 2025
Revised
Oct. 23, 2025
Accepted
Nov. 9, 2025
Published
Nov. 26, 2025
Abstract

The term work-life balance is a combination of two words, work and life which denotes how an individual combine both of them to achieve an equilibrium. Healthcare workers on the other hand includes the doctors, nurses and other health care administrators who work in hospitals. The life of a health worker includes an overwhelming level of personal and professional accomplishment, but is associated with a huge degree of anxiety and psychological stress involved in it. Relevant studies have shown that the health care workers are susceptible to mental health issues especially during COVID-19 pandemic. In the course of our study, we have found that factors like workplace stress have been responsible for physical and emotional exhaustion which reduces the enthusiasm to work and can cause anxiety and depression. Various factors inherent to the job, responsibilities related to the patients, the feeling of being overburdened, responsibilities towards the organizations and issues relating to working relationships and ambitions related to the career growth are mainly identified as occupational stressors among the healthcare professionals. It has also been found that emotional fatigue leads to the situation of burnout among the healthcare professionals. The present study tries to identify the various issues and challenges which hampers the work-life balance of the health workers in varied situations in the health care sector during COVID-19 pandemic and to undertake an empirical study on the topic.

Keywords
INTRODUCTION

The COVID-19 pandemic made it more difficult for the health workers to achieve work life balance, especially in Assam, India. The extraordinary burden the pandemic placed on the healthcare sector presented many challenges for the medical staff in both public and private facilities. They often had to overcome obstacles that were logical, emotional, psychological and physical. The various issues and challenges faced by the health workers of the Government hospitals includes high patient load, workplace violence, resource constraints, administrative burden, psychological stress, financial pressures, inadequate legal protection. The various issues and challenges faced by health workers of private hospitals includes long working hours, disproportionate patient load, violence and safety concerns, administrative and bureaucratic burdens, economic pressures, balancing expectations and mental health issues. Among the main issues concerning the healthcare industry, it was felt that the issues of health workers were unnoticed. (Wu Y., Wang J., Luo C., Hu S., Lin X., Anderson A.E, 2020). The health care centres should take numerous steps to ensure the healthcare workers jobs is fulfilling and satisfying. (Pabalkar V., Prakash S, 2020). It was also found that people in most of the professions are finding it difficult to align the work and non-work obligations due to rapid technological changes as well as imbalance in working life. (Lai J., Ma S., Wang Y., Cai Z., Hu J., Wei N., Hu S., 2020). The healthcare workers often expect collaboration, advice and assistance both from their families and also from the hospitals in order to maintain a degree of balance. (Karan A., Negandhi H., Nair R., Sharma A., Tiwari R., Zodpey S.,2019). It was seen that curing patients who have been infected by the deadly disease is a herculean job for the healthcare workers who are under immense stress due to long working hours in humid and hot conditions. (Humphries N., McDermott A.M., Creese J., Matthews A., Conway E., Byrne J.P.,2020). On the other hand, the health workers need to be concerned about the high number of deaths of the patients even though they may be drained physically and emotionally due to the deficient balance in their work life and subsequent decrease in job satisfaction. (Paffenholz P., Peine A., Hellmich M., Paffenholz S.V., Martin L., Luedde M., Loosen S.H.,2020). One also has to understand the wellbeing of the doctors and also suggest various methods for the improvement of the same. (Hyland-Wood B., Gardner J., Leask J., Ecker U.K.2021). It was also seen that the healthcare professionals especially the doctors experienced greater level of stress than others even in normal circumstances, let alone the Covid-19 pandemic. (Yadav R.K., Yadav S.S.,2014). Mental conditions such as stress, anxiety, depression and insomnia have become common among the healthcare professionals. (Tremblay D.G., Ilama I.I.,2015). The working conditions of the workforce among industries during Covid-19 exposed severe limitations in the purview of access to employment benefits. (Nayeri N.D., Salehi T., Noghabi A.A.A.,2011). Also, policies on work life balance based on the concept that flexibility and fairness can achieve the desired results for the benefit of the workers, employees and the society as well. (Hildt-Ciupińska K., Pawłowska-Cyprysiak K.,2020).

 

The main objective of the study is to analyse and study the issues and challenges faced by the health workers during the Covid-19 pandemic. The research design for the study is descriptive and exploratory which has been aimed at providing an in-depth understanding of the work life balance among the health workers. A combination of quantitative and qualitative approaches often referred to as a mixed-method design was used. Descriptive design is appropriate here because it describes what is happening in the field, particularly in terms of work-life stress and imbalance outcomes. Descriptive design is also suitable for examining relationships between variables, such as the association between work hours and health outcomes or the effect of organizational support on work-life balance. The research design aligns with the research objectives of the study and based on the objectives, various hypothesis is being framed and tested. To collect the required data, a structured questionnaire was administered to the healthcare workers in various hospitals which allowed for quantitative measurement of work life balance, job stress and organizational support. The target population for this study includes healthcare workers of both government and private hospitals in the state of Assam, India. These workers include both doctors and nurses all of whom are critical in managing healthcare during the Covid-19 pandemic. This makes them an ideal population for studying work-life balance in different work environments. By targeting the specific population, the research aims to provide insights into the effects of long working hours and high stress on personal and family life and also how the healthcare workers managed their responsibilities during the pandemic. The sample size for this study was calculated to ensure that the research findings would be statistically valid and consequently 510 valid responses were considered. Multistage sampling method was used as this approach allows to capture different levels of variability in the population and geographic diversity. Out of the total responses 240 respondents were from government hospitals and 270 respondents were from private hospitals. The analysis of the data was carried out using frequency distribution and percentages and Chi-square test of independence was used to examine the association between the categorical variables

DISCUSSION and RESULT

1.1 Problem Associated with Health-workers during Pandemic:

The following are the quantitative analysis of the information that were collected through structured questionnaire:

 

Table No 1: Training on infection control

Training on infection

Doctor

Nurse

Total

Count

%

Count

%

Count

%

Training in Hospitals

204

57.8

114

72.6

318

62.4

Self-Knowledge on infection

149

42.2

43

27.4

192

37.6

Total

353

100

157

100

510

100

 

In case of the training on infection control is concerned, it was found that 57.8 percent of the doctors received training in hospitals whereas 42.2 percent of the doctors revealed that they used their self-knowledge on infection control.

 

Similarly, in the case of nurses, 72.6 percent of the nurses revealed that they received the required training in their respective hospitals followed by 27.4 percent of the nurses used their self-knowledge on infection control.

 

Table No 2: Injury while wearing PPE Kits

Injury

Doctor

Nurse

Total

Frequency

%

Frequency

%

Frequency

%

Device related pressure injury

75

21.20

39

24.80

114

22.4

Moist associated injury

108

30.60

52

33.10

160

31.4

Skin tear injury

82

23.20

64

40.80

146

28.6

 

In case of Injury caused by wearing PPE Kits are concerned, 30.60 percent of the doctors reported to have moist associated injury, followed by 23.20 percent of the doctors complained of Skin tear injury and 21.20 percent of the doctors suffered Device related pressure injury.

 

Similarly in the case of nurse, 40.80 percent of the nurses complained of Skin tear injury, followed by 33.10 percent of the nurses complained of Moist associated injury and 24.80 percent of the nurses revealed that they had Device related pressure injury.

 

Table No 3: Problem faced by health workers during pandemic

Main Issues of Health workers during pandemic

Doctor

Nurse

Total

Frequency

%

Frequency

%

Frequency

%

Lack of amenities

117

33.1

33

21

150

29.4

Inadequate training regarding COVID

105

29.7

32

20.4

137

26.9

Less untrained paramedical staff

93

26.3

34

21.7

127

24.9

Risk of acquiring infection

179

50.7

83

52.9

262

51.4

 

In case of the issues faced by the doctor during pandemic, 50.70 percent of the doctors felt that there has been a Risk of acquiring the infection, 33.1 percent of the doctors felt there was lack of amenities, 29.7 percent of the doctors felt there was Inadequate training regarding COVID and 26.3 percent of the doctors felt there was Less untrained paramedical staff.

 

Similarly in the problems faced by the nurses during pandemic, 52.90 percent of the nurses felt that there is a Risk of acquiring infection, 21.70 percent of the nurses felt there was Less untrained paramedical staff, 21 percent of the nurses felt there was Lack of amenities and 20.40 percent of the nurses felt there was Inadequate training regarding COVID.

 

Table No 4: Problem faced by health workers at personal level

Problem faced at personal Level during pandemic

Doctor

Nurse

Total

Frequency

%

Frequency

%

Frequency

%

Fear of being isolated by society

70

19.8

63

40.1

133

26.1

Fear of risk of infection to family

184

52.1

85

54.1

269

52.7

Family pressure not to work in Covid duty

71

20.1

38

24.2

109

21.4

 

In case of the problems faced by the health workers at the personal level, 52.1 percent of the doctors revealed that they faced the Fear of risk of infection to family, 20.1 percent of the doctors felt there was Family pressure not to work in Covid duty, and 19.8 percent of the doctors had the Fear of being isolated by the society.

 

Similarly in the case of the nurses, 54.1 percent of the nurses felt there was Fear of risk of infection to family, followed by 40.1 percent of the nurses felt there was Fear of being isolated by society and finally 24.2 percent of the nurses felt there was Family pressure not to work in Covid duty.

 

Table No 5: Training on Infection of health workers of Government and Private Hospitals

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Training in Hospitals

Yes

156

65

Yes

162

60

 

No

84

35

No

108

40

 

Table No 6: Chi-Square Tests on training in Infection control

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

1.353a

1

0.245

 

 

Continuity Correctionb

1.149

1

0.284

 

 

Likelihood Ratio

1.355

1

0.244

 

 

Fisher's Exact Test

 

 

 

0.272

0.142

Linear-by-Linear Association

1.351

1

0.245

 

 

N of Valid Cases

510

 

 

 

 

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 90.35.

b. Computed only for a 2x2 table

 

From the table above it was felt that 65% of the health workers of government hospitals received training in hospitals and 35% of the health workers revealed that they had no training in the hospitals. Similarly in the case of private hospitals, it was found that 60% of the health workers received training in the hospitals itself and 40% of the doctors revealed that they did not receive any kind of training. As per the Chi-square table, the P-Value is 0.245 which is more than 0.05 and therefore we conclude there has been no significant difference between the health workers of government and private hospitals in having training on infection control during COVID-19 pandemic.

 

Table No 7: Self-knowledge of health workers of Government and Private Hospitals

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Self-Knowledge

Yes

93

38.8

Yes

149

55.2

 

No

147

61.3

No

121

44.8

 

Table No 8: Chi-Square Tests regarding having self-knowledge

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

13.764a

1

0.000

   

Continuity Correctionb

13.113

1

0.000

   

Likelihood Ratio

13.838

1

0.000

   

Fisher's Exact Test

     

0.000

0.000

Linear-by-Linear Association

13.737

1

0.000

   

N of Valid Cases

510

       

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 113.88.

b. Computed only for a 2x2 table

 

In case of the health workers working in the government hospitals, it was found that 38.8% of the health workers used self-knowledge in their work compared to 55.2% of the health workers in the private hospitals used self-knowledge in their work. As per the Chi-square table, the P-Value is 0.00 which is less than 0.05 and therefore we conclude there is a significant difference between the health workers of government and private hospitals in having self-knowledge during COVID-19 pandemic. Therefore we find that in case of private hospitals, the health workers deal with COVID-19 pandemic on their Self-Knowledge as compared to the health workers of government hospitals. It may be due to more autonomy in the private hospitals which allows them to use their own knowledge in dealing with the COVID-19 pandemic. While in case of government hospitals the health workers need to follow procedures rather than their self knowledge.

 

Table No 9: Injury related to wearing PPE Kits of health workers of Government and Private Hospitals:

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Device related pressure Injury

Yes

69

28.7

Yes

45

16.7

 

No

171

71.3

No

225

83.3

Moist associated Injury

Yes

95

39.6

Yes

65

24.1

 

No

145

60.4

No

205

75.9

Skin Tear Injury

Yes

70

29.2

Yes

76

28.1

 

No

170

70.8

No

194

71.9

 

Table No 10: Chi-Square Tests regarding Device related pressure Injury

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

10.689a

1

0.001

   

Continuity Correctionb

10.004

1

0.002

   

Likelihood Ratio

10.712

1

0.001

   

Fisher's Exact Test

 

   

0.001

0.001

Linear-by-Linear Association

10.668

1

0.001

   

N of Valid Cases

510

       

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 53.65.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.01 which is less than 0.05 and therefore we conclude there is a significant difference between the health workers of government and private hospitals in having device related pressure injury during COVID-19 pandemic. It is because of the health workers of government hospitals need to handle more cases and need to wear PPE kit for longer hours as compared to the health workers of private hospitals which leads to device related pressure injury during the COVID-19 pandemic.

 

  1. Moist associated Injury:

Table No 11: Chi-Square Tests regarding Moist associated Injury

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

14.195a

1

0.000

   

Continuity Correctionb

13.484

1

0.000

   

Likelihood Ratio

14.229

1

0.000

   

Fisher's Exact Test

     

0.000

0.000

Linear-by-Linear Association

14.167

1

0.000

   

N of Valid Cases

510

       

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 75.29.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.00 which is less than 0.05 and therefore we conclude there is a significant difference between the health workers of government and private hospitals in having moist associated injury during COVID-19 pandemic. It is because of the health workers of government hospitals need to handle more cases and need to wear PPE kit for longer hours as compared to the health workers of private hospitals which leads to device related pressure injury during the COVID-19 pandemic.

 

 

  1. Skin tear Injury:

Table No 12: Chi-Square Tests regarding Skin tear injury

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.065a

1

0.800

   

Continuity Correctionb

0.024

1

0.876

   

Likelihood Ratio

0.064

1

0.800

   

Fisher's Exact Test

     

0.845

0.438

Linear-by-Linear Association

0.064

1

0.800

   

N of Valid Cases

510

       

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 68.71.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.80 which is more than 0.05 and therefore we conclude there is no significant difference between the health workers of government and private hospitals in having skin tear injury during COVID-19 pandemic.

 

4.6 Problems faced by the health workers in Hospital:

Table No 13: Lack of Amenities

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Lack of Amenities

Yes

83

34.6

Yes

67

24.8

 

No

157

65.4

No

203

75.2

 

Table No 14: Chi-Square Tests having required amenities

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

5.840a

1

0.016

   

Continuity Correctionb

5.379

1

0.020

   

Likelihood Ratio

5.838

1

0.016

   

Fisher's Exact Test

     

0.019

0.010

Linear-by-Linear Association

5.828

1

0.016

   

N of Valid Cases

510

       

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 70.59.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.01 which is less than 0.05 and therefore we conclude there is a significant difference between the health workers of government and private hospitals in having lack of amenities during COVID-19 pandemic. It is because the government hospitals were lacking of proper amenities to handle the huge number of COVID affected people compared to the private hospitals. The number of COVID cases that need to be handled by health workers of private hospitals were relatively much lower as compared to the government hospitals. The affordability of the patients to pay for private hospitals was another issue for lower number of patients in private hospitals compared to the government hospitals.  

 

4.7 Inadequate training regarding COVID:

Table No 15: Inadequate training regarding COVID

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Inadequate training regarding COVID

Yes

70

29.2

Yes

67

24.8

 

No

170

70.8

No

203

75.2

 

Table No 16: Chi-Square Tests having Inadequate training regarding COVID

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

1.225a

1

0.268

   

Continuity Correctionb

1.013

1

0.314

   

Likelihood Ratio

1.223

1

0.269

   

Fisher's Exact Test

     

0.273

0.157

Linear-by-Linear Association

1.222

1

0.269

   

N of Valid Cases

510

       

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 64.47.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.26 which is more than 0.05 and therefore we conclude there is no significant difference between the health workers of government and private hospitals in having Inadequate training regarding COVID-19 pandemic and therefore we reject Hypothesis 5 that there is a significant difference between the health workers of government and private hospitals in having Inadequate training regarding COVID-19 pandemic

 

4.8 Less Untrained Paramedical Staff:

Table No 17: Less Untrained Paramedical Staff

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Less Untrained Paramedical Staff

Yes

76

31.7

Yes

51

18.9

 

No

164

68.3

No

219

81.1

 

 

Table No 18: Chi-Square Tests having Less Untrained Paramedical Staff

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

11.093a

1

0.001

   

Continuity Correctionb

10.420

1

0.001

   

Likelihood Ratio

11.113

1

0.001

   

Fisher's Exact Test

     

0.001

0.001

Linear-by-Linear Association

11.071

1

0.001

   

N of Valid Cases

510

       

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 59.76.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.01 which is less than 0.05 and we conclude there is a significant difference between the health workers of government and private hospitals in having Less Untrained Paramedical Staff during COVID-19 pandemic. In case of private hospitals, the paramedical staffs were well trained to handle the pandemic situation compared to the government hospitals. It may be due to the recruitment process which has a bureaucratic red tape in case of government hospitals which make them less efficient as compared to the private hospitals.

 

4.9 Risk of Acquiring Infection:

Table No 19: Risk of Acquiring Infection

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Risk of Acquiring Infection

Yes

160

66.7

Yes

102

37.8

 

No

80

33.3

No

168

62.2

 

Table No 20: Chi-Square Tests having Risk of Acquiring Infection

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Pearson Chi-Square

44.297a

2

0.000

Likelihood Ratio

45.369

2

0.000

Linear-by-Linear Association

40.507

1

0.000

N of Valid Cases

510

   

a. 2 cells (33.3%) have expected count less than 5. The minimum expected count is .47.

 

As per the Chi-square table, the P-Value is 0.00 which is less than 0.05 and we conclude there is a significant difference between the health workers of government and private hospitals in having Risk of Acquiring Infection during COVID-19 pandemic. This risk of acquiring infection is higher in the government hospitals as compared to the private hospitals because the health workers of the government hospitals handled more number of COVID cases during pandemic which make them more susceptible to acquire the infection as compared to the health workers of the private hospitals.   

 

4.10 Problems faced at Personal Level:

Table No 21: Problems faced at Personal Level

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Fear of being Isolated by Society

Yes

70

29.2

Yes

63

23.3

 

No

170

70.8

No

207

76.7

Fear of Risk of Infection to family

Yes

161

67.1

Yes

108

40

 

No

79

32.9

No

162

60

Family Pressure not to work in COVID Duty

Yes

58

24.2

Yes

51

18.9

 

No

182

75.8

No

219

81.1

 

  • Fear of being Isolated by Society:

 

Table No 21.1: Fear of being Isolated by Society

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Fear of being Isolated by Society

Yes

70

29.2

Yes

63

23.3

 

No

170

70.8

No

207

76.7

 

Table No 21.2: Chi-Square Tests having Fear of being Isolated by Society

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

2.243a

1

0.134

 

 

Continuity Correctionb

1.950

1

0.163

 

 

Likelihood Ratio

2.240

1

0.134

 

 

Fisher's Exact Test

 

 

 

0.157

0.081

Linear-by-Linear Association

2.238

1

0.135

 

 

N of Valid Cases

510

 

 

 

 

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 62.59.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.13 which is more than 0.05 and therefore we conclude there is no significant difference between the health workers of government and private hospitals in having Fear of being Isolated by Society during COVID-19 pandemic. This may be because COVID-19 virus spread among the public and the fear was irrespective of government or private hospital employees. All employees had similar feeling of being isolated from society irrespective of where they work.

 

  • Fear of Risk of infection to family

 

Table No 22: Fear of Risk of Infection to family

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Fear of Risk of Infection to family

Yes

161

67.1

Yes

108

40

 

No

79

32.9

No

162

60

 

Table No 23: Chi-Square Tests having Fear of Risk of Infection to family

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

37.392a

1

0.000

 

 

Continuity Correctionb

36.313

1

0.000

 

 

Likelihood Ratio

37.924

1

0.000

 

 

Fisher's Exact Test

 

 

 

0.000

0.000

Linear-by-Linear Association

37.319

1

0.000

 

 

N of Valid Cases

510

 

 

 

 

a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 113.41.

b. Computed only for a 2x2 table

 

As per the Chi-square table, the P-Value is 0.00 which is less than 0.01 and therefore we conclude there is a significant difference between the health workers of government and private hospitals in having Fear of Risk of infection to family during COVID-19 pandemic at 99% level of confidence. This is mainly because the health workers of government hospitals could not take proper care and proper sanitization, adequate precautions, equipment were not sufficient in government hospitals compared to any private hospitals due to the high patient rate and unavailability of all required COVID-19 materials.

 

  • Family pressure not to work in COVID duty

 

Table No 24: Family Pressure not to work in COVID Duty

 

Govt Hospitals

Private Hospitals

 

 

Frequency

Percent

 

Frequency

Percent

Family Pressure not to work in COVID Duty

Yes

58

24.2

Yes

51

18.9

 

No

182

75.8

No

219

81.1

 

From the table no. 4.24, we found that 24% of the health workers of Government hospitals were pressurized by the family members not to work in COVID duty and in case of Private hospitals 19% of the health workers were pressurized by the family members not to work in COVID duty. 

 

Table No 25: Chi-Square Tests having Family Pressure not to work in COVID Duty

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

2.106a

1

0.147

 

 

Continuity Correctionb

1.804

1

0.179

 

 

Likelihood Ratio

2.103

1

0.147

 

 

Fisher's Exact Test

 

 

 

0.160

0.090

Linear-by-Linear Association

2.102

1

0.147

 

 

N of Valid Cases

510

 

 

 

 

a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 51.29.

b. Computed only for a 2x2 table

 

As per the Chi-square table 4.25, the P-Value is 0.14 which is more than 0.05 and therefore we conclude there is no significant difference between the health workers of government and private hospitals in having Family pressure not to work in COVID duty during COVID-19 pandemic. From the table no 4.24 we can see that only 24.2% and 18.9% in case of government and private hospitals employees had pressure from family not to work in COVID duty. Otherwise, it was a general consensus among health workers in India to work for society irrespective of where they work but to save public life at any cost.

 

Table No 26: Psychological Issues faced by Health Workers in Government and Private Hospitals

Psychological Issues

Government Hospitals

Private Hospitals

N

Mean

Std. Deviation

N

Mean

Std. Deviation

Fear of getting infection

240

4.2458

0.85446

270

4.1630

0.87261

Stressed

240

4.0125

0.95278

270

3.9815

0.93845

Anxious

240

3.0958

1.04460

270

3.3667

1.06429

Temper Outburst

240

3.0167

1.12025

270

3.2148

1.00100

Insomnia

240

2.9000

1.00125

270

3.0556

0.95272

Optimistic

240

2.7667

1.14792

270

3.0481

1.09472

 

Table No 27: ANOVA Table of Psychological Issues faced by health workers

                                        

           

 

 

Sum of Squares

df

Mean Square

F

Sig.

Optimistic

Between Groups

10.067

1

10.067

8.025

0.005

 

Within Groups

637.307

508

1.255

 

 

 

Total

647.375

509

 

 

 

Anxious

Between Groups

9.32

1

9.32

8.372

0.004

 

Within Groups

565.496

508

1.113

 

 

 

Total

574.816

509

 

 

 

Temper Outburst

Between Groups

4.989

1

4.989

4.45

0.035

 

Within Groups

569.474

508

1.121

 

 

 

Total

574.463

509

 

 

 

Stressed

Between Groups

0.122

1

0.122

0.137

0.712

 

Within Groups

453.87

508

0.893

 

 

 

Total

453.992

509

 

 

 

Fear of getting infection

Between Groups

0.873

1

0.873

1.169

0.28

 

Within Groups

379.325

508

0.747

 

 

 

Total

380.198

509

 

 

 

Insomnia

Between Groups

3.075

1

3.075

3.229

0.073

 

Within Groups

483.767

508

0.952

 

 

 

Total

486.841

509

 

 

 

 

As per the ANOVA table 27, we find that the P-Value of F-test for Optimism, Anxiousness and Temper Outburst among the health workers of government and private hospitals is 0.005, 0.004 and 0.035 which are less than 0.05. Therefore we reject the null hypothesis and can conclude that there is a significant difference in Optimism, Anxiousness and Temper Outburst among the health workers of government and private hospitals during the COVID-19 pandemic.

 

But the P-Value of F-test for Stressed, Fear and Insomnia is 0.712, 0.28 and 0.073 which are more than 0.05 and therefore we accept the null hypothesis that there is no significant difference between health workers of government and private hospitals in case of stress, fear and insomnia during the pandemic.

 

 

Table No 28: Does Health worker’s Job become more Challenging during Pandemic:

Health workers job more challenging

N

Minimum

Maximum

Mean

Std. Deviation

Doctor

353

1.00

5.00

4.3569

0.83432

Nurses

157

2.00

5.00

4.4968

0.76480

 

From the table no 4.28 we can state that during pandemic health workers job was more challenging as compared to normal situation. Out of 5-point scale where 1 means Least challenging and 5 means Most challenging, the mean value of doctors is 4.36 and for nurses is 4.50. It simply means the health workers job during pandemic was more challenging.

 

Table No 29: Health workers job challenging

Group Statistics

Where do you work

N

Mean

Std. Deviation

Std. Error Mean

Health workers job challenging

Govt. Hospital

240

4.3917

0.80579

0.05201

Private Hospital

270

4.4074

0.82522

0.05022

 

The job of health workers was very challenging during COVID-19 pandemic. It could be understood from the fact that the mean value of challenging job out of 5 point rating scale where 1 was least challenging and 5 was most challenging for the health workers of government and private hospitals was 4.39 and 4.40 out of 5. It shows the challenges they face in rendering their services in hospitals.

 

Table No 30: T-test for Health workers job challenging

 

Levene's Test for Equality of Variances

t-test for Equality of Means

 

 

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

 

 
   

Health workers job challenging

Equal variances assumed

0.033

0.857

-0.217

508

0.828

-0.01574

0.07240

   

Equal variances not assumed

   

-0.218

503.525

0.828

-0.01574

0.07230

   

 

From the table no 30 the P-Value of t-test is 0.828 which is higher than 0.05, hence we reject the alternate hypothesis that health workers of government hospital’s job was more challenging compared to the health workers of private hospitals during COVID-19 pandemic. So we can conclude that there is no significant difference between government and private hospital employees in job challenges during COVID-19 pandemic.

 

4.11 Psychological mindset of Health workers:

4.11.1 Positive Feelings:

The following table 31 depicts the psychological mindset of health workers before and during pandemic. 19 positive feelings were studied among the health workers. Wilcoxon Signed Rank Test has been calculated along with Mean and Standard Deviation for each positive feeling to check whether there was any significant difference in the positive feelings of health workers before and during pandemic. The P-Value indicates the level of significance of the Z-Value.

 

Table No 31: Positive feelings of health workers

Variables

 

Mean

SD

Mean Rank

Z

P-value

Alert

Before

4.92

1.09

210.29

-4.497

0.000

During

4.62

1.23

189.54

Attentive

Before

4.99

1.06

199.31

-4.805

0.000

During

4.68

1.17

164.11

Determined

Before

4.51

1.1

192.7

-0.36

0.719

During

4.52

1.17

187.48

Concentrating

Before

5.02

1.02

200.69

-7.125

0.000

During

4.58

1.18

165.98

Active

Before

5.09

1.03

186.14

-0.4

0.689

During

5.1

1.17

167.31

Excited

Before

3.65

1.17

184.16

-4.653

0.000

During

3.99

1.25

202.74

Inspired

Before

4.56

1.12

191.75

-0.761

0.447

During

4.5

1.2

188.12

Interested

Before

4.91

1.04

176.31

-4.141

0.000

During

4.65

1.13

164.03

Proud

Before

3.18

1.13

171.89

-2.711

0.007

During

3.37

1.25

196.82

Confident

Before

4.85

1.01

199.84

-7.56

0.000

During

4.38

1.11

167.53

Daring

Before

3.9

1.22

179.89

-3.839

0.000

During

4.17

1.29

202.42

Energetic

Before

4.94

1.08

232.42

-14.839

0.000

During

3.67

1.16

142.22

Happy

Before

4.66

1.02

204.33

-14.777

0.000

During

3.47

0.99

152.71

Joyful

Before

4.31

0.97

209.68

-14.912

0.000

During

3.19

0.97

160.57

Delighted

Before

4.25

1.02

212.56

-14.994

0.000

During

3.08

0.96

152.68

Enthusiastic

Before

4.66

1.11

201.79

-11.162

0.000

During

3.86

1.09

149.21

Calm

Before

4.49

1.11

209.5

-12.743

0.000

During

3.5

1.09

144.74

Relaxed

Before

4.6

1.08

222.51

-14.683

0.000

During

3.35

1.09

145.88

At Ease

Before

4.37

1.11

221.99

-14.1

0.000

During

3.28

1.05

159.12

 

It can be observed that the positive feelings like Alert, Attentive, Concentrating, Excited, Interested, Proud, Confident, Daring, Energetic, Happy, Joyful, Delighted, Enthusiastic, Calm, Relaxed and At Ease have significant difference among health workers during and before pandemic.

 

On the other hand, the psychological variable like Determined, Active and Inspired didn’t have any difference during and before pandemic because as a health worker they need to be determined, active and inspired all the time irrespective of pandemic or normal situation. It can be validated by the P-Value which are 0.719, 0.689 and 0.447. 

Hence the hypothesis no.13 as Positive feelings of health workers has significantly decreased during the COVID-19 pandemic is accepted as 16 out of 19 positive feelings of health workers has significantly decreased during the pandemic. But the null hypothesis is acceptable to determination, activeness and inspiration because these feelings didn’t have any significant difference during and before the pandemic.

 

4.11.2 Negative Feelings of health workers:

The following table depicts the psychological mindset of health workers before and during pandemic. 18 negative feelings were studied among the health workers. Z-Test has been calculated along with Mean and Standard Deviation for each negative feelings to check whether there were any significant difference in the negative feelings of health workers before and during pandemic. The P-Value indicates the level of significance of the Z-Value.

 

Table No 32: Negative feelings of health workers

Variables

 

Mean

SD

Mean Rank

Z

P-value

Angry

Before

3.20

1.11

150.68

-13.141

0.000

During

4.28

1.25

224.58

Frightened

Before

2.84

1.1

163.06

-13.373

0.000

During

3.99

1.3

224.68

Distressed

Before

3.13

1.02

155.21

-12.45

0.000

During

4.10

1.19

213.23

Irritable

Before

3.09

1.06

143.29

-12.768

0.000

During

4.10

1.25

214.93

Upset

Before

3.10

0.99

144.92

-12.918

0.000

During

4.10

1.17

215.27

Angry at self

Before

2.68

1.02

155.36

-7.858

0.000

During

3.15

1.12

181.87

Nervous

Before

3.12

1.14

181.95

-11.238

0.000

During

4.03

1.26

218.51

Lonely

Before

3.14

1.15

175.45

-6.509

0.000

During

3.62

1.22

204.67

Sad

Before

2.89

1.01

165.65

-12.302

0.000

During

3.90

1.34

220.53

Blameworthy

Before

2.91

1.04

140.58

-9.483

0.000

During

3.53

1.25

207.56

Drowsy

Before

3.44

1.12

176.03

-9.832

0.000

During

4.19

1.29

204.51

Alone

Before

3.27

1.14

177.29

-4.987

0.000

During

3.62

1.23

187.08

Sleepy

Before

3.43

1.15

175.18

-9.992

0.000

During

4.21

1.29

209.58

Downhearted

Before

3.04

1.08

156.08

-9.968

0.000

During

3.74

1.26

204.06

Disgusted with Self

Before

2.74

1.09

161.16

-7.176

0.000

During

3.18

1.17

185.86

Tired

Before

4.21

1.11

171.95

-11.413

0.000

During

5.09

1.21

214.06

Sluggish

Before

3.33

1.17

156.01

-11.146

0.000

During

4.15

1.25

202.11

Dissatisfied with self

Before

2.96

1.06

153.37

-8.344

0.000

During

3.48

1.18

193.62

 

It can be observed that all the negative feelings that we have studied like Angry, Frightened, Distressed, Irritable, Upset, Angry at self, Nervous, Lonely, Sad, Blameworthy, Drowsy, Alone, Sleepy, Downhearted, Disgusted with Self, Tired, Sluggish and Dissatisfied with self have significant difference among health workers during and before pandemic.

 

Hence we reject the null hypothesis that there is no significant difference in negative feelings at 99% level of confidence and comparing the mean values of different negative feelings during and before pandemic we can state that the negative feelings have been increased among health workers during the pandemic as compared to the normal situation (before pandemic).

 

4.12 Work Life balance of Health Workers:

Table No 33: Paired Sample Statistics of WLB General & during pandemic

Paired Samples Statistics

 

Mean

N

Std. Deviation

Std. Error Mean

AVG_WLBG

4.7871

510

0.79564

0.03523

AVG_WLBD

3.5778

510

0.76659

0.03395

 

Table No 34: Paired Samples Correlations of WLB General & during pandemic

Paired Samples Correlations

 

N

Correlation

Sig.

AVG_WLBG & AVG_WLBD

510

0.124

0.005

 

Table No 35: Paired Samples Test of WLB General & during pandemic

Paired Samples Test

 

Paired Differences

 

 

 

 

 

 

 

 

Mean

Std. Deviation

Std. Error Mean

95% Confidence Interval of the Difference

 

t

df

Sig. (2-tailed)

 

 

 

 

Lower

Upper

 

 

 

AVG_WLBG - AVG_WLBD

1.20929

1.03437

0.04580

1.11931

1.29928

26.402

509

0.000

 

The following table shows the Paired t-test value of work life balance of health workers in general and during pandemic. The result shows the p-value is 0.00 which is less than 0.01. It means that at 99% confidence level we can state that there is a significant difference in the WLB of health workers before and during pandemic.

 

4.13 Health workers opinion on their profession during COVID-19 pandemic:

During the pandemic whether the health worker has chosen the wrong profession.

 

Table No 36: Health workers of hospitals and their profession

 

Have you chosen the wrong profession

Total

 

Yes

No

 

Govt. Hospital

59 (24.58%)

181 (75.42%)

240 (100%)

Private Hospital

68 (25.19%)

202 (74.81%)

270 (100%)

Total

127 (24.90%)

383 (75.10%)

510 (100%)

 

From the Table No. 4.39, we find that 25% of the health workers felt that they have chosen the wrong profession during the COVID-19 pandemic. In case of health workers of both Government and Private hospitals, 25% of the health workers of each feels that they have chosen the wrong profession during the COVID-19 pandemic. From this number, we can visualize the impact of COVID-19 on the mindset of the health workers. The reason for this one-forth of the health workers had this type of feelings are:

 

Table No. 37: Reason for choosing the wrong profession in Government and Private Hospital during pandemic

 

Govt Hospital

Private Hospital

 

Frequency

Percent

Frequency

Percent

Our life is at risk

12

20.3

14

20.6

Can be an easy victim of public anger

11

18.6

12

17.6

Job is too demanding and stressful

16

27.1

17

25.0

Unable to enjoy family and social life

14

23.7

12

17.6

Did not get expected rewards and recognition

6

10.2

11

16.2

Total

59

100.0

2

2.9

 

From the Table No. 37, we can state that during pandemic the health profession job was too demanding and stressful because of which they feel that they were in a wrong profession by health workers of both government and private hospitals. It was followed by ‘Unable to enjoy family and social life’ by health workers of government hospitals which accounts for 24% of respondents, and 21% of the private hospital health workers felt that there life was at risk during the pandemic.

 

4.14 Total hours of working of the health workers:

Table No 38: Paired Sample Statistics of duty during COVID-19

 

Paired Samples Statistics

 

Mean

N

Std. Deviation

Std. Error Mean

Duty before COVID-19

8.8451

510

2.31369

0.10245

Duty after COVID-19

11.3275

510

2.99519

0.13263

Table No 39: Paired Samples Correlations of duty during COVID-19

Paired Samples Correlations

 

N

Correlation

Sig.

Duty before COVID-19 & Duty after COVID-19

510

0.693

0.000

 

Table No 40: Paired Samples Test of duty during COVID-19

Paired Samples Test

 

Paired Differences

 

 

 

 

t

df

Sig. (2-tailed)

 

Mean

Std. Deviation

Std. Error Mean

95% Confidence Interval of the Difference

       

 

     

Lower

Upper

     

Duty before COVID-19 - Duty after COVID-19

-2.48235

2.17204

0.09618

-2.67131

-2.29340

-25.810

509

0.000

 

From the Paired t-test, we can state at 99 % confidence level that the work hours of doctors have significantly increased during the Covid-19 pandemic compared to the normal situation (Before pandemic). The mean working hours of health workers has increased to 11.3 hours from 8.8 hours during the pandemic.

 

Similarly, for the nurses also the mean working hour has been increased to 9.58 hours from 7.24 hours. The Chi-square table indicated that the difference is significant at 99% level of confidence.

CONCLUSION

The health workers in hospitals faces multiple issues and challenges which prominently impact their ability to provide quality care. To name a few of the challenges which include in the case of the government hospitals- higher patient load, violence in the workplace, resource constraints, administrative burdens, psychological stress, financial pressures and also inadequate legal protection. In the case of the private hospitals, we find that the issues pertaining to disproportionate patient load, longer working hours, various economic pressures, bureaucratic and administrative burden, balancing expectations, issues related to mental health are found to be significant factors faced by the healthcare workers. Violence in workplace with the addition pressure to perform in adverse environments, increases the emotional as well as the mental strain which often leads to burnout, depression and anxiety.

 

In the case of issues related to pandemic, it was found that issues such as shortage of medical equipment’s like PPE kits, deficient infrastructure, disruptions in supply chain, insufficient testing, vaccination challenges and ethical dilemmas and fear of carrying the disease to home were some notable issues faced by the health workers. Moreover, the health workers were observed to have PPE kit related injuries like skin tear injury, moist associated injuries, device related injury, etc. They also had to face serious psychological challenges as many of their family members did not support them to work during pandemic. 

 

At the end of the day, improving the safety and the working conditions of the health workers is the need of the hour not only for the wellbeing of the health workers, but also for ensuring that the health workers provide considerable and effective care to the patients. In the absence of such reforms, the healthcare systems would be at a risk of losing talented professionals to dissatisfaction, burnout and increased turnover.

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