| Literature DB >> 21767411 |
Constance J Newman1, Daniel H de Vries, Jeanne d'Arc Kanakuze, Gerard Ngendahimana.
Abstract
BACKGROUND: Workplace violence has been documented in all sectors, but female-dominated sectors such as health and social services are at particular risk. In 2007-2008, IntraHealth International assisted the Rwanda Ministries of Public Service and Labor and Health to study workplace violence in Rwanda's health sector. This article reexamines a set of study findings that directly relate to the influence of gender on workplace violence, synthesizes these findings with other research from Rwanda, and examines the subsequent impact of the study on Rwanda's policy environment.Entities:
Year: 2011 PMID: 21767411 PMCID: PMC3154143 DOI: 10.1186/1478-4491-9-19
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Distribution of cadres in the sample
| Cadre | Frequency | % |
|---|---|---|
| Physician | 12 | 4.0 |
| Auxiliary nurse | 29 | 10 |
| Nurse | 157 | 53 |
| Midwife | 14 | 5 |
| Technician | 45 | 15 |
| Social worker | 40 | 14 |
Figure 1Type of perpetrator of verbal abuse and bullying by sex of respondent (n = 119).
Instances of perpetration by type of workplace violence and sex of victim
| Perpetrator identified as: | Verbal abuse experienced by | Bullying experienced by | Sexual harassment | Physical attack experienced by experienced by | |||||
|---|---|---|---|---|---|---|---|---|---|
| Male victim | Female victim | Male victim | Female victim | Male victim | Female victim | Male victim | Female victim | Total | |
| Male | 26% | 20% | 69% | 48% | 0.0% | 88% | 50.0% | 57% | |
| Female | 58% | 54% | 19% | 36% | 80.0% | 0.0% | 25.0% | 43% | |
| Both male and female | 16% | 27% | 13% | 16% | 20.0% | 13% | 25.0% | 0.0% | |
Patterns of perpetration and victimization for verbal abuse
| Male victim | Female victim | Total | |
|---|---|---|---|
| (5) 26% | (8) 20% | (13) 22% | |
| (11) 58% | (22) 54% | (33) 55% | |
| (3) 16% | (11) 27% | (14) 23% | |
| (19) 32% | (41) 68% | 60 | |
Patterns of perpetration and victimization for bullying
| Male victim | Female victim | Total | |
|---|---|---|---|
| (11) 69% | (15) 48% | (26) 55% | |
| (3) 19% | (11) 35% | (14) 30% | |
| (2) 13% | (5) 16% | (7) 15% | |
| (16) 34% | (31) 66% | 47 | |
Patterns of perpetration and victimization for sexual harassment
| Male victim | Female victim | Total | |
|---|---|---|---|
| (0) 0% | (13) 87% | (13) 65% | |
| (4) 80% | (0) 0% | (4) 20% | |
| (1) 20% | (2) 13% | (3) 15% | |
| (5) 25% | (15) 75% | 20 | |
Patterns of perpetration and victimization for physical attack
| Male victim | Female victim | Total | |
|---|---|---|---|
| (2) 50% | (4) 57% | (6) 55% | |
| (1) 25% | (3) 43% | (4) 36% | |
| (1) 25% | (0) 1% | (1) 9% | |
| (4) 36% | (7) 64% | 11 | |
Reactions to workplace violence
| Reaction | Male HCWs (N = 48) | Female HCWs (N = 111) | ||||||
|---|---|---|---|---|---|---|---|---|
| Verbal abuse (n = 24) | Physical violence (m = 4) | Bullying (n = 16) | Sexual harass-ment (n = 4) | Verbal abuse (n = 36) | Physical violence (n = 7) | Bullying (n = 31) | Sexual harass-ment (n = 17) | |
| Did nothing | 61% | 40% | 50% | 80% | 50% | 83% | 39% | 47% |
| Considered leaving | 35% | 60% | 50% | 20% | 46% | 17% | 52% | 47% |
| Left the job | 4% | 0% | 0% | 0% | 4% | 0% | 10% | 7% |
Logistic regression result: odds of experiencing violence
| Variable | Variables of significance in the aggregated model of violence both at work and during travel to and from work | Sign. (p) | Odds Ratio (Exp(B)) | |
|---|---|---|---|---|
| Religious sector (compared to Government) | .017 | 4.7 | ||
| City (compared to Rural) | .012 | 11.8 | ||
| Southern Province (compared to the North) | .002 | 0.1 | (11) | |
| Kigali City (compared to North) | .009 | 0.1 | (14) | |
| People loitering in neighborhood adjacent to or surrounding facility | .099* | 2.7 | ||
| Signs posted to indicate staff-only break areas (as compared to no signs) | .043 | 2.7 | ||
| Building entrance is visible from the street and free of heavy shrub growth (as compared to entrance not being visible) | .002 | 0.1 | (12) | |
| High level of perceived respect which patients show to staff at workplace (compared to low level of respect ) | .066* | 0.7 | (1.4) | |
| High level of perceived respect that supervisors and staff show to each other at the workplace (compared to low level of respect) | .028 | 0.6 | (2) | |
| Perceived equal chance for men and women to get hired for jobs for which they are qualified in the health sector (as compared to unequal chance) | .009 | 0.2 | (6) | |
| Perception of equal treatment at work received by men and women (as compared to unequal treatment) | .017 | 0.2 | (5) | |
*Not highly significant
Figure 2Do men and women receive equal treatment at work?
Figure 3Do men and women have an equal chance to get hired for jobs for which they are qualified?
Multilevel, multisectoral actions recommended to eliminate workplace violence and discrimination in Rwanda's health sector
| By the Ministry of Health | By the Ministry of Labor | By the Ministry of Gender | By the Rwanda Health Workers Union |
|---|---|---|---|
| • Conduct a study on pregnancy discrimination | • Disseminate the Labor Law | • Train men and women to disclose violence | • Document and translate relevant texts into Kinyarwanda |
| • Develop and enact a health sector policy on workplace violence | • Develop a labor sector policy on worker safety and security | • Share information about, monitor and evaluate workplace violence | • Conduct information, sensitization and training campaign on legal texts |
| • Develop and enact a program to fight violence in health workplaces | • Build the capacity of labor inspectors | • Disseminate and enforce ILO standards on maternity protection and workers with family responsibilities | |
| • Develop partnerships with MOH, MOL, MOG, Police, donors. | • Diffuse information on labor standards | • Train health workers on ethical behavior | • Develop a system to manage cases |
| • Put in place workplace safety and security policies that address discrimination. | • Establish Ethics Committee at health centers | • Develop networks with other unions and human rights groups | |
| • Sensitize and train all health workers on violence and sanctions. | • Conduct a study on human rights at health workplaces. |