| Literature DB >> 35186835 |
David Pina1,2, Paloma Llor-Zaragoza2, Reyes López-López1, Jose Antonio Ruiz-Hernández2,3, Esteban Puente-López2, Inmaculada Galián-Munoz4, Begoña Martínez-Jarreta5.
Abstract
INTRODUCTION: Growing concern about workplace violence shows the need for an evaluation in specific contexts in order to identify the particularities of each professional group. The health sector consists of a group of professionals with high exposure to violence, specially from users. There are differences depending on the professional category or unit in which the professional works. In this regard, Primary Health Care (PHC) is characterized by a personalized and continuous patient treatment over time, which is not exempt from cases of violence. Among the commonly studied consequences of these situations are decreases in job satisfaction and burnout.Entities:
Keywords: burnout - professional; job satisfaction; primary health care (PHC); psychology; violence
Mesh:
Year: 2022 PMID: 35186835 PMCID: PMC8854207 DOI: 10.3389/fpubh.2022.777412
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Sociodemographic and occupational characteristics of the sample.
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| Age (years) | ||
| Younger than 35 | 32 | 5.6 |
| 36–45 | 143 | 24.9 |
| 46–55 | 216 | 37.6 |
| 56–65 | 162 | 28.2 |
| Missing data | 21 | 3.7 |
| Sex | ||
| Men | 178 | 31 |
| Women | 391 | 68.1 |
| Missing data | 5 | 0.9 |
| Marital status | ||
| Single | 90 | 15.7 |
| Common law partner or married | 417 | 72.6 |
| Divorced, separated, or | 58 | 10.1 |
| widowed | 9 | 1.6 |
| Missing data | ||
| Type of contract | ||
| Permanent | 474 | 82.6 |
| Temporary-Substitution | 81 | 14.1 |
| Missing data | 19 | 3.3 |
| Professional group | ||
| Medical staff | 223 | 38.9 |
| Nursing staff | 195 | 34 |
| Support personnel | 148 | 25.8 |
| Missing data | 8 | 1.3 |
| Job tenure (years) | ||
| 0–2 | 80 | 14 |
| 3–5 | 102 | 17.8 |
| 6–10 | 111 | 19.3 |
| 11–15 | 50 | 8.7 |
| +15 | 92 | 16 |
| Missing data | 139 | 24.2 |
| Professional tenure (years) | ||
| 0–10 | 41 | 7.1 |
| 11–20 | 108 | 18.8 |
| 21–30 | 166 | 28.9 |
| +30 | 104 | 18.2 |
| Missing data | 155 | 27 |
Descriptive statistics, reliabilities, and correlations between variables.
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| 1. Physical violence | 1.13 | 0.44 | 3 |
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| 2. Non-physical violence | 2.29 | 1.15 | 11 | 0.25 |
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| 3. Intrinsic satisfaction | 3.49 | 1.16 | 7 | −0.13 | −0.35 |
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| 4. Extrinsic satisfaction | 3.59 | 0.91 | 8 | −0.08 | −0.28 | 0.77 |
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| 5. Emotional exhaustion | 2.91 | 1.22 | 9 | 0.13 | 0.33 | −0.42 | −0.39 |
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| 6. Cynicism | 2.48 | 1.08 | 5 | 0.11 | 0.21 | −0.48 | −0.41 | 0.59 |
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| 7. Professional realization | 5.44 | 0.82 | 8 | −0.07 | −0.09 | 0.29 | 0.21 | −0.26 | −0.41 |
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The reliability of the variables of the study are on the diagonal.
p < 0.05.
p < 0.01.
.
Regression equation predicting cynicism from non-physical violence and extrinsic and intrinsic job satisfaction.
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| Non-physical violence | 0.113 | 0.169 | |
| Extrinsic satisfaction | −0.366 | ||
| Non-physical violence X Extrinsic satisfaction | −0.444 | 0.185 | 0.016 |
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| Non-physical violence | 0.070 | 0.228 | |
| Intrinsic satisfaction | −0.449 | ||
| Non-physical violence X Intrinsic satisfaction | −0.264 | 0.236 | 0.008 |
p < 0.05.
p < 0.01.
p < 0.001.
Regression equation predicting emotional exhaustion from non-physical violence and extrinsic and intrinsic satisfaction.
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| Non-physical violence | 0.272 | 0.230 | |
| Extrinsic satisfaction | −0.328 | ||
| Non-physical violence X Extrinsic Satisfaction | −0.483 | 0.249 | 0.019 |
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| Non-physical violence | 0.024 | 0.237 | |
| Intrinsic satisfaction | −0.347 | ||
| Non-physical violence X Intrinsic satisfaction | −0.250 | 0.244 | 0.007 |
p < 0.05.
.
p < 0.001.
Figure 1Interaction of non-physical violence and intrinsic satisfaction on the levels of exhaustion and cynicism.
Figure 2Effect of the interaction of non-physical violence and extrinsic satisfaction on the levels of emotional exhaustion and cynicism.