| Literature DB >> 30410571 |
Ross J Tynan1,2,3, Carole James2,3, Robyn Considine3, Jaelea Skehan1, Jorgen Gullestrup4, Terry J Lewin5, John Wiggers3,6, Brian J Kelly2,3.
Abstract
BACKGROUND: To evaluate the feasibility, acceptability and effectiveness of implementing a peer-based, multi-component mental health program in the Australian coal mining industry.Entities:
Keywords: Coal; Mental health; Mining; Peer-support; Workplace health
Year: 2018 PMID: 30410571 PMCID: PMC6211480 DOI: 10.1186/s13033-018-0245-8
Source DB: PubMed Journal: Int J Ment Health Syst ISSN: 1752-4458
Paired sample t-test to measure change before and after MIM GAT and connector training
| General awareness training (GAT) | Connector training | |||||
|---|---|---|---|---|---|---|
| Pre | Post |
| Pre | Post |
| |
| I am confident that I could identify if a workmate was experiencing a mental health problem | 3.16 (0.84) | 3.57 (0.76) | < 0.001 | 3.75 (0.82) | 4.42 (0.62) | < 0.001 |
| I am willing to start a conversation with a workmate about their mental health or my worries for them | 3.44 (1.00) | 3.78 (0.86) | < 0.001 | 3.98 (0.93) | 4.65 (0.57) | < 0.001 |
| I am confident that I could help a workmate, family member or myself identify where to start to get support | 3.47 (0.94) | 3.86 (0.81) | < 0.001 | 3.97 (0.89) | 4.65 (0.59) | < 0.001 |
| I am aware of the structures and systems that my workplace has in place to support worker mental health | 3.29 (1.05) | 3.68 (0.91) | < 0.001 | 3.60 (1.02) | 4.29 (0.88) | < 0.001 |
| I believe my workplace tries to look after worker mental health | 3.24 (1.04) | 3.53 (1.05) | < 0.001 | 3.53 (0.99) | 4.08 (1.00) | < 0.001 |
| I believe my workplace does a good job supporting workers experiencing mental health problems | 3.23 (1.20) | 3.47 (1.03) | < 0.001 | 3.38 (1.04) | 3.96 (1.02) | < 0.001 |
Scores from 1 (not at all) to 5 (very much)
Paired sample t-test comparing mean pre and post impact of supervisor training (n = 117)
| Pre mean (SD) | Post mean (SD) |
| |
|---|---|---|---|
| I am confident that I can describe the difference between mental health, mental health problems and mental illness | 2.94 (0.87) | 3.92 (0.71) | 0.005 |
| I am confident that I can identify if someone was experiencing mental health difficulties in the workplace | 3.18 (0.75) | 3.82 (0.67) | < 0.001 |
| I am willing to start a conversation with a workmate about their mental health or my concerns for them | 3.81 (1.07) | 4.16 (0.79) | < 0.001 |
| I am confident that I can identify supports that can be recommended to a person experiencing mental health problems | 3.69 (0.99) | 4.23 (0.70) | < 0.001 |
| I am confident that I can have an effective conversation about performance issues that may be due to mental health problems | 3.31 (0.93) | 3.99 (0.74) | < 0.001 |
Scores from 1 (not at all) to 5 (very much)
Summary statistics of the WWMHP and control samples across both phases
| Personal variables | Control n (%) | WWMHP n (%) | ||||
|---|---|---|---|---|---|---|
| Phase 1 | Phase 2 |
| Phase 1 | Phase 2 |
| |
| Sex | ||||||
| Male | 425 (87.6) | 379 (92.2) | 0.208 | 841 (87.4) | 544 (87.6) | 0.358 |
| Female | 60 (12.4) | 32 (7.8) | 121 (12.6) | 77 (12.4) | ||
| Age | ||||||
| < 24 | 38 (7.8) | 24 (5.8) | 0.814 | 78 (8.1) | 54 (8.5) | 0.953 |
| 25–34 | 143 (29.4) | 117 (28.3) | 305 (31.8) | 188 (29.6) | ||
| 35–44 | 141 (29.0) | 128 (31.0) | 305 (31.8) | 207 (32.6) | ||
| 45–54 | 124 (25.5) | 108 (26.2) | 207 (21.6) | 139 (21.9) | ||
| 55+ | 40 (8.2) | 36 (8.7) | 65 (6.8) | 47 (7.4) | ||
| Relationship status | ||||||
| Not married or de facto | 81 (16.7) | 54 (13.1) | 0.757 | 124 (12.9) | 92 (14.6) | 0.539 |
| Married or de facto | 373 (76.7) | 327 (79.4) | 779 (81.2) | 501 (79.3) | ||
| Separated/divorced/widowed | 32 (6.6) | 31 (7.5) | 56 (5.8) | 39 (6.2) | ||
| Mine type | ||||||
| Open cut | 174 (35.7) | 206 (49.9) | 0.039 | 599 (61.8) | 347 (54.5) | 0.242 |
| Underground | 314 (64.3) | 207 (50.1) | 370 (38.2) | 290 (45.5) | ||
| Mine workers | ||||||
| FIFO/DIDO | 303 (62.2) | 342 (83.2) | < 0.001 | 111 (11.5) | 71 (11.2) | 0.370 |
| Local | 184 (37.8) | 69 (16.8) | 856 (88.5) | 565 (88.8) | ||
| Employment category | ||||||
| Manager | 26 (5.3) | 16 (3.9) | < 0.001 | 42 (4.3) | 16 (2.5) | < 0.001 |
| Professional | 85 (17.5) | 28 (6.8) | 113 (11.7) | 22 (3.5) | ||
| Trades worker | 179 (36.8) | 147 (35.9) | 315 (32.5) | 189 (29.9) | ||
| Machinery operator | 155 (31.8) | 192 (46.8) | 452 (46.6) | 384 (60.7) | ||
| Admin or other | 42 (8.6) | 27 (6.6) | 47 (4.9) | 22 (3.5) | ||
Logistic regression was used to examine differences in the composition of the sample between Phase One and Phase Two, across both treatment conditions
Mental illness stigma by mental health program %
| Low stigma (%) | Unsure (%) | High stigma (%) |
| |
|---|---|---|---|---|
| Control | ||||
| Phase One | 43.8 | 33.7 | 22.5 | 0.360 |
| Phase Two | 48.6 | 31.1 | 20.3 | |
| MH program | ||||
| Phase One | 51.8 | 27.9 | 20.2 | 0.284 |
| Phase Two | 56.0 | 25.7 | 18.4 | |
Fig. 1Proportion of employees who perceived mine was committed to employee mental health. *p < 0.01; **p < 0.001