| Literature DB >> 31779630 |
Munirah Al Omar1,2, Mahmoud Salam3,4, Khaled Al-Surimi1,2,5.
Abstract
BACKGROUND: Workplace bullying (WPB) is a physical or emotional harm that may negatively affect healthcare services. The aim of this study was to determine to what extent healthcare practitioners in Saudi Arabia worry about WPB and whether it affects the quality of care and patient safety from their perception.Entities:
Keywords: Behavior; Health practitioners; Healthcare; Patient safety; Quality of care; Work performance; Work place bullying
Mesh:
Year: 2019 PMID: 31779630 PMCID: PMC6883683 DOI: 10.1186/s12960-019-0433-x
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Self-reported worrying about WPB
| Strongly | Somewhat | Neutral | Somewhat | Strongly | |
|---|---|---|---|---|---|
| Work place bullying increases my stress level. | 57(5.3) | 34(3.2) | 78(7.3) | 228(21.2) | 677(63.0) |
| Work place bullying negatively affects my work performance. | 67(6.2) | 37(3.4) | 62(5.8) | 293(27.3) | 615(57.3) |
| Work place bullying leads to communication problems among staff. | 49(4.6) | 43(4.0) | 112(10.4) | 263(24.5) | 607(56.5) |
| Work place bullying alters my thinking or concentration | 59(5.5) | 47(4.4) | 97(9.0) | 258(24.0) | 613(57.1) |
| Work place bullying delays the delivery of care | 66(6.1) | 45(4.2) | 120(11.2) | 236(22.0) | 607(56.5) |
| Work place bullying may increases medical errors | 58(5.4) | 48(4.5) | 139(12.9) | 224(20.9) | 605(56.3) |
| Work place bullying negatively affects my emotional health. | 59(5.5) | 55(5.1) | 107(10.0) | 279(26.0) | 574(53.4) |
| Work place bullying increases patient complaints | 64(6.0) | 60(5.6) | 179(16.7) | 226(21.0) | 545(50.7) |
| Work place bullying lowers self-confidence. | 83(7.7) | 49(4.6) | 101(9.4) | 355(33.1) | 486(45.2) |
| Work place bullying may lead to increased patient falls. | 95(8.8) | 54(5.0) | 157(14.6) | 211(19.7) | 557(51.9) |
| Work place bullying negatively affects my physical health. | 97(9.0) | 78(7.3) | 151(14.1) | 241(22.4) | 507(47.2) |
| Work place bullying leads to high rates of adverse events or patient mortality. | 106(9.9) | 53(4.9) | 203(18.9) | 203(18.9) | 509(47.4) |
| Work place bullying causes dissatisfaction with my job. | 108(10.1) | 85(7.9) | 128(11.9) | 290(27.0) | 463(43.1) |
| Work place bullying makes me consider changing my job. | 148(13.8) | 75(7.0) | 147(13.7) | 216(20.1) | 488(45.4) |
| Work place bullying makes me want to stay home rather than go to work. | 264(24.6) | 107(10.0) | 174(16.2) | 199(18.5) | 330(30.7) |
n: frequency, %: percentage
Worry scores across health practitioners’ and job characteristics
| n(%) | Median[IQR] | |
|---|---|---|
| Gender | ||
| Male | 152(14.2) | 68.3[41.3] |
| Female | 922(85.8) | 83.3[32.1] |
| Z=-5.224, P<0.001* | ||
| Age (years) | ||
| <30 | 348(32.4) | 90.0[25.0] |
| ≥30 | 726(68.6) | 77.5[40.0] |
| Z=-3.826, P<0.001* | ||
| Marital status | ||
| Single/Separated | 534(49.7) | 86.7[28.8] |
| Married | 540(50.3) | 78.3[41.7] |
| Z=-3.452, P=0.001* | ||
| Educational status | ||
| Diploma's/Bachelor’s degree | 867(80.7) | 80.0[38.3] |
| Master’s/PhD degree | 207(19.3) | 90.0[30.0] |
| Z=-3.188, P=0.001* | ||
| Nationality | ||
| Saudi | 292(27.2) | 76.7[41.7] |
| Non-Saudi | 782(72.8) | 83.3[33.3] |
| Z=-2.077, P=0.038 | ||
| Work experience (years) | ||
| ≤10 | 587(54.7) | 88.3[28.3] |
| >10 | 487(45.3) | 75.0[43.3] |
| Z=-5.535, P<0.001* | ||
| Job position | ||
| Physicians/Pharmacists | 172(16.0) | 79.2[41.7] |
| Nurses/Technicians/Administrative | 902(84.0) | 81.7[33.3] |
| Z=-1.467, P=0.142 | ||
| Previous training on work place bullying | ||
| Yes | 118(11.0) | 81.7[40.4] |
| No | 956(89.0) | 81.6[33.3] |
| Z=-1.341, P=0.180 | ||
| Previously exposed to WPB | ||
| Yes | 684(63.7) | 86.7[28.3] |
| No | 390(36.3) | 71.7[38.3] |
| Z=-9.124, P<0.001* | ||
IQR interquartile range, Z = Mann-Whitney test Z-score, *P value: statistically significant at < 0.025
Binary logistic regression showing factors associated with worrying about work place bullying
| Worry about work place bullying (PMS>50) | |||
|---|---|---|---|
| B(SE) | Adj. | Adj.OR[95%CI] | |
| Gender | |||
| Female vs. Male [ref] | 0.25(0.23) | 0.130 | 1.4[0.9-2.2] |
| Age group | |||
| <30 vs. ≥30 [ref] | 0.29(0.25) | 0.227 | 1.3[0.8-2.2] |
| Marital status | |||
| Single vs. Married [ref] | 0.25(0.19) | 0.175 | 1.3[0.9-1.9] |
| Education level | |||
| Higher vs. Lower [ref] | 0.51(0.24) | 0.034* | 1.7[1.1-2.7] |
| Work experience | |||
| <10 vs. ≥10 [ref] | 0.46(0.19) | 0.017* | 1.6[1.1-2.3] |
| Job | |||
| Nurses/allied health vs. Physicians/pharmacists [ref] | 0.19(0.25) | 0.425 | 1.2[0.8-2.0] |
| Previous training | |||
| No vs. Yes [ref] | 0.54(0.24) | 0.026* | 1.7[1.1-2.8] |
| Previous exposure to incident | |||
| Yes vs. No [ref] | 0.79(0.17) | <0.001* | 2.2[1.6-3.1] |
Adj: adjusted; OR: odds ratio; B: Beta coefficient; SE: standard error; P: P-value; *: statistically significant at <0.05; CI: confidence interval; %: percentage; [ref]: reference group