| Literature DB >> 34013986 |
Luis Manuel Blanco-Donoso1, Jennifer Moreno-Jiménez1, Laura Gallego-Alberto1, Alberto Amutio2,3, Bernardo Moreno-Jiménez1, Eva Garrosa1.
Abstract
Nursing home workers have been exposed to great physical and mental burdens during the COVID-19 pandemic. Although this has generated high levels of exhaustion, it may also have contributed to feelings of professional satisfaction. The objective of this study was to explore the levels of satisfaction among nursing home workers during the COVID-19 pandemic, as well as the role of job demands, resources and emotional experiences in explaining their levels of satisfaction. This cross-sectional study was conducted in Spain between March and May 2020. Three hundred and thirty-five nursing home workers participated. A quantitative analysis was conducted, as was a content analysis of the responses to an open-ended question about the respondents' perceptions of job demands and resources during the crisis. The results showed that workers had very high levels of satisfaction. Social pressure from work, contact with death and suffering, and emotional exhaustion were negatively associated with satisfaction. Moreover, under conditions of extensive contact with suffering people and great fear of contagion, social support at work was shown to promote professional satisfaction. In conclusion, nursing home workers in Spain experienced high rates of satisfaction during the COVID-19 crisis despite the high job demands, lack of job resources, fear of contagion and exhaustion. The main practical implication of this study is the importance of ensuring optimal working conditions in the nursing home sector in order to guarantee professional satisfaction, prevent burnout, reduce turnover and promote post-crisis resilience.Entities:
Keywords: COVID-19; emotional exhaustion; fear of contagion; nursing homes; professional satisfaction; social support at work
Mesh:
Year: 2021 PMID: 34013986 PMCID: PMC8239566 DOI: 10.1111/hsc.13422
Source DB: PubMed Journal: Health Soc Care Community ISSN: 0966-0410
Sociodemographic details of professional groups
| Categorical variables | Professional group | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Doctors | Nurses | Nurse Aides | Geriatric Assistants | Social Workers | Psychologist | Occupational Therapists | Physiotherapists | Center Management | Full sample | |
|
| 24 | 54 | 91 | 44 | 40 | 30 | 19 | 16 | 5 | 323/335 |
| Gender | ||||||||||
| Male | 3 | 18 | 13 | 11 | 5 | 4 | 2 | 6 | 1 | 66 |
| Female | 21 | 36 | 78 | 33 | 35 | 26 | 17 | 10 | 4 | 269 |
| Relationship with a partner | ||||||||||
| With a relationship | 19 | 36 | 61 | 31 | 30 | 28 | 11 | 13 | 5 | 244 |
| Without a relationship | 5 | 18 | 30 | 13 | 10 | 2 | 8 | 3 | 0 | 91 |
| Contact with COVID‐19 patients | ||||||||||
| Yes | 22 | 47 | 61 | 29 | 21 | 20 | 14 | 13 | 3 | 237 |
| No | 2 | 7 | 29 | 15 | 19 | 10 | 5 | 3 | 2 | 96 |
In this study, the statistical analyses were conducted with a sample of 335 workers, of which 323 reported their professions (12 missing values).
Means, standard deviations, internal consistency indexes and bivariate correlations
| Variable |
|
| ω | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Age | 36.12 | 10.26 | ‐ | ‐ | ||||||||||
| 2. Number of children | 0.64 | 0.85 | ‐ | 0.61 | ‐ | |||||||||
| 3. Years of experience in the field | 9.04 | 8.11 | ‐ | 0.66 | 0.37 | ‐ | ||||||||
| 4. Workload | 3.11 | 0.44 | 0.64 | −0.06 | −0.08 | 0.02 | (0.61) | |||||||
| 5. Social pressure from work | 2.57 | 0.69 | 0.60 | −0.07 | −0.10 | −0.02 | 0.29 | (0.59) | ||||||
| 6. Contact with death and suffering | 3.40 | 0.53 | 0.78 | −0.01 | 0.04 | 0.01 | 0.25 | 0.18 | (0.77) | |||||
| 7. Fear of contagion | 2.75 | 0.73 | 0.77 | −0.11 | −0.01 | −0.01 | 0.19 | 0.25 | 0.29 | (0.75) | ||||
| 8. Emotional exhaustion | 2.39 | 0.93 | 0.82 | −0.13 | −0.16 | 0.00 | 0.13 | 0.29 | −0.03 | 0.19 | (0.81) | |||
| 9. Lack of material & human protection resources | 3.16 | 0.75 | 0.72 | 0.02 | 0.00 | 0.02 | 0.34 | 0.24 | 0.35 | 0.46 | 0.20 | (0.72) | ||
| 10. Social support at work | 2.86 | 0.65 | 0.87 | −0.07 | 0.00 | −0.07 | −0.09 | −0.07 | 0.13 | 0.01 | −0.38 | −0.14 | (0.87) | |
| 11. Professional satisfaction | 3.37 | 0.58 | 0.74 | −0.01 | −0.01 | −0.02 | −0.02 | −0.14 | 0.20 | −0.05 | −0.42 | −0.04 | 0.25 | (0.72) |
In all scales, the response range is between 1 and 4.
Cronbach's alphas appear in the diagonal between parentheses; ω = McDonald's omega.
p < 0.01
p < 0.05.
Frequencies, percentages and means for the items referring to Professional satisfaction
| Items | Totally disagree | Disagree | Agree | Totally agree |
|
|
|---|---|---|---|---|---|---|
| 1. I feel satisfied to be able to help people | 4 (1.2%) | 2 (0.6%) | 70 (20.9%) | 259 (77.3%) | 3.74 | 0.525 |
| 2. I feel satisfied when I get home at the end of the working day | 13 (3.9%) | 57 (17%) | 142 (42.4%) | 123 (36.7%) | 3.12 | 0.825 |
| 3. The satisfaction I get from my work gives me energy to continue working on it | 10 (3%) | 46 (13.7) | 124 (37%) | 155 (46.3%) | 3.27 | 0.807 |
The response range is between 1 and 4.
Regression analysis for professional satisfaction
| Criterion | Professional satisfaction | ||||
|---|---|---|---|---|---|
| Standardised regression coefficients | |||||
| Predictors | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
| Gender | 0.038 | 0.048 | 0.062 | 0.058 | 0.028 |
| Age | 0.028 | 0.013 | 0.087 | 0.074 | 0.056 |
| Relationship with a partner | −0.047 | −0.023 | −0.022 | −0.020 | −0.035 |
| Number of children | −0.020 | 0.023 | 0.068 | 0.068 | 0.072 |
| Years of experience in the field | −0.009 | −0.006 | −0.053 | −0.049 | −0.011 |
| Contact with COVID patients | 0.052 | 0.061 | 0.004 | 0.007 | 0.010 |
| Workload | −0.035 | −0.007 | 0.001 | 0.046 | |
| Social pressure from work | −0.183 | −0.059 | −0.060 | −0.041 | |
| Contact with death and suffering | 0.253 | 0.210 | 0.206 | 0.131 | |
| Fear of contagion | −0.008 | −0.001 | −0.016 | ||
| Emotional exhaustion | −0.429 | −0.401 | −0.449 | ||
| Lack of MHPR | −0.023 | 0.008 | |||
| Social support at work | 0.053 | 0.009 | |||
| Workload x Lack of MHPR | −0.069 | ||||
| Workload x Social support at work | −0.081 | ||||
| Social pressure from work x Lack of MHPR | −0.043 | ||||
| Social pressure from work x Social support at work | −0.113 | ||||
| Contact with death and suffering X Lack of MHPR | −0.033 | ||||
| Contact with death and suffering X Social support at work | 0.160* | ||||
| Fear of contagion x Lack of MHPR | −0.041 | ||||
| Fear of contagion x Social support at work | 0.131 | ||||
| Emotional exhaustion x Lack of MHPR | 0.070 | ||||
| Emotional exhaustion x Social support at work | 0.073 | ||||
|
| 0.006 | 0.085 | 0.239 | 0.241 | 0.307 |
| Δ | 0.079 | 0.153 | 0.003 | 0.066 | |
Gender was coded as 0 = male 1 = female; Relationship with a partner was coded as 0 = no 1 = yes; and contact with patients with COVID was coded as 0 = no 1= yes.
Abbreviation: MHPR, Material and Human Protection Resources.
p < 0.001
p < 0.01
p < 0.05.
FIGURE 1Interaction effects of Contact with death & suffering and Social support at work in predicting Professional satisfaction
FIGURE 2Interaction effects of Fear of contagion and Social support at work in predicting Professional satisfaction
Meaning units, codes and frequencies, and subthemes and themes from the content analysis of answers to the open question
| Theme | Subtheme | Code (number of reports) | Examples |
|---|---|---|---|
| Inadequate working conditions and lack of resources | Lack of resources to deal with the virus | Lack of tests (28) |
“We work blindly, not knowing whether we are sentencing our residents to death through lack of resources and materials” “We have not been given enough protective equipment” “We work without protection; only with will” |
| Lack of PPE (65) | |||
| Lack of staff (19) | |||
| Lack of support | Lack of institutional support (25) |
“In this work we are totally abandoned, without protective equipment or anyone who controls what is going on” “I have felt supported by my coworkers, but not by the manager or by the political institutions” “I feel that the work we do in the residences is not valued, since the news only shows the negative side—the numbers of dead and the residences that are overwhelmed” | |
| Lack of recognition (17) | |||
| Inadequate organisational management of COVID−19 crisis | Inadequate organisation (21) |
“We suffer from] scarce materials and we have not been instructed how to use EPP correctly; therefore, we are forced to improvise” “The mismanagement of prevention and organisation (testing prior to entry of new personnel or personnel who have had contact with COVID−19, is becoming a serious problem” | |
| Insufficient information and/or training (10) | |||
| Failure of prevention (14) | |||
| Lack of action protocols (9) | |||
| Excessive job demands | Work overload (14) |
“Double shifts and work outside normal hours, because you never finish and are not even rewarded with a thank you” “There is a lack of empathy from family members in general” | |
| Increased working hours (4) | |||
| Difficulties with residents’ families (4) | |||
| Previous working conditions | Lack of adequate staff (6) |
“Since it is a job that requires a lot of effort and dedication … the salary should be increased, especially in nursing homes, which do not pay more than 900 euros” “COVID‐19 has been the trigger that has exposed the deficiencies of the system” | |
| Low wage (6) | |||
| Job instability (4) | |||
| Coping with lack of resources | Recycle PPE (9) | “We have faced the virus with minimal resources, we have recycled the masks for up to six days because we do not have any more, we have protected ourselves with garbage bags against COVID patients with serious pathologies, cough, secretions …” | |
| Making own PPE (5) | |||
| Asking for PPE donations (3) | |||
| Impact and consequences of COVID−19 crisis | Negative physical and psychological consequences | Staff infection (11) |
“Although I feel satisfied with my profession, I also feel helpless for not being able to carry out my duties effectively due to lack of resources. The measures are applied too late and people die” “It is heartbreaking, and I feel guilty for not being able to remain calm and do more to save the life of my patient and the peace of mind of her children and grandchildren” “Anguish … seeing the neglect and total dehumanisation due to lack of hands … I couldn't stand it and I had to ask for unpaid leave, despite the dilemma that, as a nurse, that involved: abandon even more of those people or end up being more devastated than I already I was” |
| Fear of contagion (5) | |||
| Concerns about future consequences (4) | |||
| Concerns about care received by residents (21) | |||
| Suffering due to residents' deaths (11) | |||
| Depressive feelings (5) | |||
| Anxious feelings (5) | |||
| Ambivalent feelings (8) | |||
| Frustration/feelings of impotence (11) | |||
| Exhaustion (4) | |||
| Positive psychological consequences | Gratitude (7) | “The majority of the team has responded with humanity and professionalism, which I am proud of” | |
| Professional fulfillment (2) | |||
| Sense of pride (3) |