| Literature DB >> 28235388 |
Aidana Lygnugaryte-Griksiene1, Darius Leskauskas1, Nedas Jasinskas2, Agne Masiukiene3.
Abstract
BACKGROUND: Lithuania currently has the highest suicide rate in Europe and the fifth highest worldwide. AIMS: To identify the factors that influence the suicide intervention skills of emergency medical services (EMS) providers (doctors, nurses, paramedics).Entities:
Keywords: Training; emergency medicine; healthcare professionals; intervention; mental health; prevention; suicides
Mesh:
Year: 2017 PMID: 28235388 PMCID: PMC5345589 DOI: 10.1080/10872981.2017.1291869
Source DB: PubMed Journal: Med Educ Online ISSN: 1087-2981
Sociodemographic characteristics.
| Gender | n | % |
|---|---|---|
| Male | 7 | 2.6 |
| Female | 261 | 97.4 |
| 22–42 | 77 | 29.2 |
| 43–63 | 180 | 68.2 |
| 64–84 | 7 | 2.7 |
| Vocation | 8 | 3.0 |
| College | 140 | 52.2 |
| Higher | 120 | 44.8 |
| Doctor | 76 | 28.4 |
| Nurse | 190 | 70.9 |
| Administration | 2 | 0.7 |
| Up to 10 years | 26 | 10.6 |
| 11 – 20 years | 49 | 20.0 |
| 21–30 years | 92 | 37.6 |
| 31–40 years | 69 | 28.2 |
| 41 – 52 years | 9 | 3.7 |
| 10 hours per week | 2 | 0.7 |
| 20 hours per week | 5 | 1.9 |
| 30 hours per week | 177 | 66.0 |
| 40 hours per week | 50 | 18.7 |
| 50 hours per week | 25 | 9.3 |
| 60 and > hours per week | 9 | 3.4 |
Maslach Burnout Inventory Emotional Exhaustion scale averages of different age groups and employment periods.
| Sociodemographic characteristics | n | SIRI Mean ± SD | Mean Rank | Mann-Whitney U | Z | P | |
|---|---|---|---|---|---|---|---|
| Age | ≤47 | 137 | 16.75 ± 8,42 | 141.64 | 7447.00 | −2.02 | 0.04 |
| ≥48 | 127 | 14.75 ± 8,47 | 122.64 | ||||
| Employment period | ≤25 years | 123 | 16.91 ± 8.51 | 132.44 | 6341.50 | −2.10 | 0.04 |
| ≥26 years | 122 | 14.65 ± 8.51 | 113.48 | ||||
Significance level (p < 0.05).
Comparison between suicide intervention skills and sociodemographic characteristics.
| Sociodemographic characteristics | n | SIRI Mean ± SD | Mean Rank | Mann-Whitney U | Z | P | |
|---|---|---|---|---|---|---|---|
| Age | ≤47 | 137 | 13.90 ± 4.41 | 161.54 | 4721.00 | −6.43 | <0.001 |
| ≥48 | 127 | 9.63 ± 5.18 | 101.17 | ||||
| Education | Vocational/college | 148 | 10.51 ± 5.10 | 114.00 | 5846.00 | −4.82 | <0.001* |
| Higher | 120 | 13.43 ± 4.93 | 159.78 | ||||
| Employment period | up to 25 years | 123 | 14.07 ± 4.55 | 150.40 | 4132,50 | −6.09 | <0.001* |
| from 26 years | 120 | 9.86 ± 4.94 | 95.37 | ||||
| Workload | ≤30 hours per week | 184 | 11.19 ± 5.21 | 124.51 | 5889,00 | −3.13 | <0.01** |
| ≥40 hours per week | 84 | 13.32 ± 4.93 | 156.39 | ||||
Significance level (p < 0.001*; p < 0.01**).
Correlations between attitudes towards suicide prevention and suicide intervention skills.
| Suicide intervention skills (SIRI) | Attitudes towards suicide prevention (ASPS) | |
|---|---|---|
| Prior to the training | Spearman correlation coefficient (rS) | −0.309 |
| After the training | Spearman correlation coefficient (rS) | −0.176* |
Significance level (p*<0.05; p**<0.001).
ASPS: The Attitudes to Suicide Prevention Scale.
Linear regression – suicide intervention skills predictive factors analysis.
| Predictive factors | B | Beta | t | p |
|---|---|---|---|---|
| Attitudes towards suicide prevention | −0.29 | −0.32 | −4.8 | |
| Emotional exhaustion | 0.07 | 0.11 | 1.60 | 0.11 |
| Depersonalization | 0.16 | 0.12 | 1.77 | 0.08 |
| Personal accomplishment | −0.04 | −0.06 | −0.9 | 0.37 |
| Problem-focused coping | 0.04 | 0.07 | 0.84 | 0.40 |
| Emotional-focused coping | −0.05 | −0.07 | −0.88 | 0.38 |
| Less useful coping | 0.08 | 0.07 | 0.97 | 0.33 |
Regression equation coefficients: correlation coefficient, R = 0.37; determination coefficient, R2 = 0.14;
Adjusted R square = 0.11; variance, F = 5.18; unstandardized coefficient, B; standardized regression coefficient, Beta; t, t-test.
Significance level (p < 0.001).
The dependent variable: suicide intervention skills (SIRI score) during the first survey.