| Literature DB >> 29751808 |
Anthony A Olashore1, Oluyemi O Akanni2, Radiance M Ogundipe3.
Abstract
BACKGROUND: Workplace violence is worrisome in the mental health sector. Little is understood about it in sub-Saharan Africa. Consequently, we decided to investigate the prevalence, related factors, and the available sources of support for the victims of workplace violence in a mental referral hospital in Botswana.Entities:
Keywords: Botswana; Health Staff; Mentally ill; Physical violence; Psychiatric hospital
Mesh:
Year: 2018 PMID: 29751808 PMCID: PMC5948676 DOI: 10.1186/s12913-018-3187-6
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Socio-demographic characteristics of the participants
| Characteristic | No of participants (%) |
|---|---|
| Gender | 179(100%) |
| Male | 72(40.2%) |
| Female | 107(59.8%) |
| Age(years) | 171a(100%) |
| < =32 | 94(55.0%) |
| > 32 | 77(45.0%) |
| Marital status | 178a(100%) |
| Single | 108(60.6%) |
| Married | 68(38.2%) |
| Divorced/Widowed | 1(0.6%) |
| Widowed | 1(0.6%) |
| Religion | 175a(100%) |
| Christianity | 167(95.4%) |
| Islam | 1(0.6%) |
| African traditional religion | 3(1.7%) |
| Others | 4(2.3%) |
| Profession | 178a(100%) |
| Psychiatrist | 4(2.2%) |
| Medical officer | 6(3.4%) |
| Psychiatric nurse | 31(17.4%) |
| General nurse | 108(60.7%) |
| Student nurse | 2(1.1%) |
| Psychologist | 3(1.7%) |
| Social worker | 7(3.9%) |
| Occupational therapist | 1(0.6%) |
| Pharmacist | 5(2.8%) |
| Record officer | 5(2.8%) |
| Auxiliary staff | 4(2.2%) |
| Lab technician | 2(1.1%) |
| Income per month | 179 (100%) |
| = < 5000 | 13(7.3%) |
| 6-10,000 | 56(31.3%) |
| 11-20,000 | 95(53.1) |
| > 20,000 | 15(8.4%) |
| Duration of practice (years) | 176a (100%) |
| < =4 | 89(50.6%) |
| > 4 | 87 (49.4%) |
| Lifetime attack | 179(100%) |
| No | 54(30.2%) |
| Yes | 125 (69.8%) |
| Past 12 months attack | 179(100%) |
| No | 100(55.9%) |
| Yes | 79 (44.1%) |
Median age is 32 years
Median duration of practice is 4 years
12 months prevalence of violence is 44.1%
Lifetime prevalence of violence is 69.8%
aFigure did not add up to 179 because of missing data
Frequency of type, location, and antecedent events to the attacks
| Type of attack | N (%) | Location | N (%) | Antecedent events | N (%) |
|---|---|---|---|---|---|
| Hit | 51(41.1) | Acute wards | 72(58.1) | Attempting to calm patient | 42(33.9) |
| Shaken | 15(12.1) | OPD/Clinic | 5(4.0) | Restraining aggressive patient | 15(12.1) |
| Struck with an object | 11(8.9) | Office | 2(1.6) | Talking with patient | 20(16.1) |
| Kicked | 27(21.8) | Forensic ward | 9(7.3) | Giving instruction to the patient | 11(8.9) |
| Pushed | 25(20.2) | Other wardsc | 28(22.6) | Unprovoked | 21(16.9) |
| Attempted strangling | 11(8.9) | Other placesd | 7(5.6) | Serving medications | 1(0.8) |
| Bitten | 12(9.7) | Can’t remember | 1(0.8) | Othersb | 12(9.7) |
| Attempted rape | 1(0.8) | Can’t remember | 2(1.6) | ||
| Stabbed with knife | __ | ||||
| Spat on | 1(0.8) | ||||
| Othersa | 15(8.4) | ||||
| Can’t remember | 4(3.3) | ||||
| Total | 173(100) | 124(100) | 124(100) |
aOthers: scratched with nails, splashed water, or poured food on, spat on, etc
bOthers: sample taking, serving food, feeding patients, bathing patients, etc
cOther wards: rehabilitation wards, observation words, psychogeriatric wards and day hospital
dOther places, corridors, bathrooms, receptions
Fig. 1Common sources of support for physically assaulted mental health care staff
Association of 12 months and lifetime violence with socio-demographic variables
| Variables | LIFETIME VIOLENCE | 12 MONTHS VIOLENCE | ||||||
|---|---|---|---|---|---|---|---|---|
| No (%) | Yes (%) |
|
| No (%) | Yes (%) |
|
| |
| Gender | ||||||||
| Male | 22(30.6) | 50(69.4) | 0.00 | 0.93 | 35(48.6) | 37(51.4) | 2.57 | 0.11 |
| Female | 32(29.9) | 75(70.1) | 65(60.7) | 42(39.3) | ||||
| Age (years) | ||||||||
| < =32 | 30(31.9) | 64(68.1) | 0.72 | 0.40 | 52(55.3) | 42(44.7) | 0.01 | 0.95 |
| > 32 | 20(26.0) | 57(74.0) | 43(55.8) | 34(44.2) | ||||
| Religion | ||||||||
| Christianity | 51(30.5) | 116(69.5) | 1.19 | 0.28 | 94(56.3) | 73(43.7) | 1.22 | 0.73 |
| Others | 1(12.5) | 7(87.5) | 4(50.0) | 4(50.0) | ||||
| Profession | ||||||||
| Doctors | 6(60.0) | 4(40.0) | 22.7 | < 0.01 | 10(100.0) | – | 26.2 | < 0.01 |
| Nurses | 29(20.6) | 112(79.4) | 65(46.1) | 76(53.9) | ||||
| Other clinical | 11(68.8) | 5(31.2) | 13(81.2) | 3(18.8) | ||||
| Non clinical | 7(63.6) | 4(36.4) | 11(100.0) | – | ||||
| Marital Status | ||||||||
| Married | 18(26.5) | 50(73.5) | 0.58 | 0.45 | 40(58.8) | 28(41.2) | 0.46 | 0.50 |
| Unmarried | 35(31.8) | 75(68.2) | 59(53.6) | 51(46.4) | ||||
| Years of practice | ||||||||
| < =4 | 42(47.2) | 47(52.8) | 29.9 | < 0.01 | 55(61.8) | 34(38.2) | 2.73 | 0.10 |
| > 4 | 11(12.6) | 76(87.4) | 43(49.4) | 44(50.6) | ||||
Comparison between the experience of violence (Lifetime and 12 months) with the Job satisfaction scores
| Violence | Mean | SD | t | P |
|---|---|---|---|---|
| Lifetime | −3.07 | 0.02 | ||
| No | 17.75 | 5.41 | ||
| Yes | 20.42 | 5.23 | ||
| 12 months | −1.82 | 0.07 | ||
| No | 18.97 | 5.60 | ||
| Yes | 20.44 | 5.07 |
df = 176