| Literature DB >> 31694588 |
Ines Heinz1,2, Roland Mergl3, Ulrich Hegerl4,5, Christine Rummel-Kluge6, Elisabeth Kohls6.
Abstract
BACKGROUND: Crisis hotlines play a key role in suicide prevention worldwide following different approaches regarding risk assessment and management of suicidality. This is to our knowledge the first study investigating depression stigma in crisis hotline counselors. The association between stigma and self-rated knowledge and their exploration of suicide risk and consecutive management of suicidal callers is being investigated.Entities:
Keywords: Counselor; Crisis hotline; Depression stigma; Helpline; Suicide prevention
Mesh:
Year: 2019 PMID: 31694588 PMCID: PMC6836490 DOI: 10.1186/s12888-019-2325-y
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Demographic characteristics of counselors of the Telephone Emergency Service (TES) and general population sample
| Characteristic | TES ( | General population sample ( |
|---|---|---|
| Gender | ||
| male | 238 (26.7) | 478 (47.7) |
| female | 655 (73.3) | 524 (52.3) |
| Age categories | ||
| 0: < 21 | 0 | 18 (1.8) |
| 1: 21–30 | 12 (1.3) | 110 (11.0) |
| 2: 31–40 | 32 (3.6) | 284 (28.3) |
| 3: 41–50 | 193 (21.6) | 158 (15.8) |
| 4: 51–60 | 352 (39.4) | 151 (15.1) |
| 5: 61–70 | 253 (28.3) | 128 (12.8) |
| 6: > 70 | 51 (5.7) | 153 (15.3) |
| Median age ( | category 4 (3–5) | category 3 (2–5) |
| Marital Status | ||
| Never married | 96 (10.8) | 158 (15.8) |
| currently married /cohabiting | 622 (69.7) | 609 (60.8) |
| divorced, separated, widowed | 160 (17.9) | 235 (23.5) |
| Not specified | 15 (1.7) | 0 |
| Occupational status | ||
| Student | 18 (2.0) | 42 (4.2) |
| Self-employed | 114 (12.8) | 98 (9.8) |
| Paid work | 366 (41.0) | 432 (43.1) |
| Retired/ House keeping | 286 (32.0) | 363 (36.2) |
| Unemployed | 19 (2.1) | 64 (6.4) |
| Volunteer work | 71 (8.0) | 3 (0.3) |
| Not specified | 19 (2.1) | 0 |
IQR interquartile range
Differences in depression stigma between Telephone Emergency Service sample and general population sample (PS-matched)
| Stigma Score | TES | General population sample |
| Effect size |
|---|---|---|---|---|
| Personal stigma score | 16 (13–18,5) | 25 (20–30) |
| −.595 |
| Perceived stigma score | 29 (26–33) | 31 (27–35,5) |
| −.179 |
| Stigma sum score | 45 (40–50) | 56 (49–63) |
| −.521 |
IQR Interquartile range, PS Propensity score, r = Z/√N; Bolded values indicate p < .001
Association of depression stigma and age in Telephone Emergency Service sample and general population sample (PS-matched)
| Spearman correlation with age | TES | General population sample |
|
|---|---|---|---|
| Personal stigma score | .009 |
| 1.84 |
| Perceived stigma score |
| .05 |
|
| Stigma sum score |
|
|
|
Z calculated by r-to-z-transformation [31]; PS = Propensity Score; Bolded correlations are significant at the .05 level
Exploring of suicide risk depending on self-rated knowledge in Telephone Emergency Service sample
| Self-rated knowledge about suicidality | ||||
|---|---|---|---|---|
| Poorly informed | Less well informed | Well informed | Very well informed | |
| When do you pose concrete questions about suicidality? ( | % | % | % | % |
| Never ( | 9.1 | 0 | 0.3 | 0 |
| Only if the caller mentions suicidality himself ( | 54.4 | 33.3 | 25.2 | 15.9 |
| If proof becomes more evident throughout conversation ( | 9.1 | 46.8 | 38.6 | 24.3 |
| If I get suspicious ( | 27.3 | 19.8 | 35.8 | 59.8 |
| In every call ( | 0 | 0 | 0.2 | 0 |
Fig. 1Association of exploring suicidality and personal depression stigma score (split by median of scores)