| Literature DB >> 22002828 |
Abstract
The current study explored whether self-reported mental health problems among victims of violent crime (n = 151) affect their ratings of satisfaction with amount of financial compensation awarded by the Dutch state and vice versa. This topic is important to address, because satisfaction is often used as an indicator of quality of victim services. Relying on medical literature about satisfaction with compensation in patient populations, it was expected that satisfaction levels would be negatively associated with mental health problems. Mental health problems were assessed with the General Health Questionnaire. A threshold of 11/12 on this scale was used to differentiate between victims with and without probable mental health problems. In line with expectations, victims with probable mental health problems reported significantly lower levels of satisfaction than those without. Results remained unchanged after adjusting for potential confounding. Findings were discussed in light of study limitations and directions for future research.Entities:
Mesh:
Year: 2011 PMID: 22002828 PMCID: PMC3413809 DOI: 10.1007/s10597-011-9443-4
Source DB: PubMed Journal: Community Ment Health J ISSN: 0010-3853
Sample characteristics by mental health status
| Mental health status | ||||
|---|---|---|---|---|
| High ( | Low ( | |||
|
|
|
|
| |
| Age | 41.0 | 13.6 | 42.3 | 17.5 |
| Time since victimization in years | 5.8 | 5.4 | 5.1 | 3.5 |
| Number of claimed (material) damage categories | 2.7 | 2.2 | 2.8 | 2.1 |
| Level of compensation for pain and suffering | 2.5 | 1.7 | 2.9 | 1.9 |
| Feelings of revenge | 5.8 | 5.5 | 3.7 | 5.5 |
Note that 63 (41.7%) victims (48 in the low and 15 in the high mental health group) received support from a VSN volunteer, while only 19 (12.6%) victims (14 in the low and 5 in the high mental health group) received professional help (i.e., by a clinical psychologist or psychiatrist)
* P < .05
Linear regression model predicting the variance in satisfaction with state compensation (n = 151)
| Variables | β |
|
|---|---|---|
| Step 1 | ||
| Probable mental health problems | −.19** | .035** |
| Step 2 | ||
| Probable mental health problems | −.18* | .067 |
| Gender (male) | −.03 | |
| Age | .01 | |
| Time since victimization in years | .14 | |
| Number of claimed (material) damage categories | −.09 | |
| Level of compensation for pain and suffering | .09 | |
| Sexual violence | −.05 | |
| Physical assault (severe) | −.07 | |
| Physical assault (moderate) | −.13 | |
| Theft with violence | .00 | |
| Feelings of revenge | −.04 | |
| Victim service utilization | .05 | |
** P < .025; * P < .05
Logistic regression model predicting the odds of probable mental health problems (n = 151)
| Variables | Step 1 | Step 2 |
|---|---|---|
| OR (95% CI) | OR (95% CI) | |
| Satisfaction with state compensation | .76 (.60–.97)** | .76 (.58–.98)* |
| Gender (male) | .42 (.15–1.21) | |
| Age | .98 (.95–1.01) | |
| Time since victimization in years | 1.10 (.96–1.27) | |
| Number of claimed (material) damage categories | .93 (.74–1.17) | |
| Level of compensation for pain and suffering | 1.09 (.82–1.44) | |
| Sexual violence | .06 (.01–.41)*** | |
| Physical assault (severe) | .47 (.05–4.19) | |
| Physical assault (moderate) | .76 (.12–4.74) | |
| Theft with violence | .31 (.05–1.71) | |
| Feelings of revenge | 1.09 (1.00–1.18) | |
| Victim support | .92 (.25–3.36) | |
| χ² (change), df | 5.79, 1** | 18.67† |
| Cox and Snell | .038 | .15 |
| Nagelkerke | .057 | .23 |
| Hosmer–Lemeshow fit (χ2, | 3.69, .59 | 7.11, 53 |
*** P < .01; ** P < .025;* P < .05
† P < .1