| Literature DB >> 33334241 |
Leila Wood1, Rachel Voth Schrag2, Elizabeth Baumler1, Dixie Hairston1, Shannon Guillot-Wright1, Elizabeth Torres1, Jeff R Temple1.
Abstract
In the face of increasing risk for intimate partner violence (IPV) and sexual assault during the COVID-19 pandemic, there is an urgent need to understand the experiences of the workforce providing support to survivors, as well as the evolving service delivery methods, shifting safety planning approaches, and occupational stress of frontline workers. We addressed this gap by conducting an online survey of members of IPV and sexual assault workforce using a broad, web-based recruitment strategy. In total, 352 staff from 24 states participated. We collaborated with practitioner networks and anti-violence coalitions to develop the brief survey, which included questions about work and health, safety planning, and stress. We used chi-square, t-test, and ANOVA analysis techniques to analyze differences within position and demographic variables. For qualitative data, we used thematic analysis to analyze responses from four open-ended questions. The sample was majority female-identified (93.7%) and essential workers in dual IPV and sexual assault programs (80.7%). Findings demonstrated that since the pandemic began, IPV and sexual assault staff are experiencing more personal and professional stressors, perceive a decrease in client safety, and lack resources needed to help survivors and themselves. Common problems included a lack of food or supplies at home and work and housing and financial support for survivors. There was a 51% increase in the use of video conference for work, which contributed to workforce strain. Reductions in overall service capacity and a shift to remote service provision have implications for both survivors and staff. These findings suggest a critical need for additional training, infrastructure, and support for the IPV and sexual assault workforce. There is an urgent need to classify IPV and sexual assault staff as first responders and address the occupational stress associated with the COVID-19 pandemic.Entities:
Keywords: COVID-19 pandemic; domestic violence; occupational stress; sexual assault; telehealth
Mesh:
Year: 2020 PMID: 33334241 PMCID: PMC9136381 DOI: 10.1177/0886260520983304
Source DB: PubMed Journal: J Interpers Violence ISSN: 0886-2605
Participant Demographics.
|
| % | |
| Gender | ||
| Male | 18 | 5.1 |
| Female | 328 | 93.7 |
| Other | 4 | 1.1 |
| Race/ethnicity | ||
| Black/African American | 29 | 8.4 |
| Hispanic or Latino/a | 72 | 20.7 |
| Asian or Asian American | 9 | 2.6 |
| White/Caucasian | 214 | 61.7 |
| Multiracial | 16 | 4.6 |
| Additional race/ethnicity | 7 | 2 |
| Type of agency | ||
| Domestic Violence Program | 110 | 31.3 |
| Sexual Assault Program | 13 | 3.7 |
| Dual Family Violence/Sexual Assault Program | 195 | 55.4 |
|
| % | |
| Campus Program for DV/SA | 34 | 9.7 |
| Work position |
| % |
| Advocate/case manager | 121 | 34.5 |
| Counselor/therapist | 56 | 16 |
| Prevention educator | 29 | 8.3 |
| Administrator | 39 | 11.1 |
| Leadership | 75 | 21.4 |
| Other | 31 | 8.8 |
| Work location | ||
| Office | 63 | 17.9 |
| Telecommute from Home | 162 | 46.2 |
| Both Office and Home | 117 | 33.3 |
Work Technology Changes.
| Pre-pandemic | Post-pandemic | |||||
| Technologies Used |
| % |
| % | ||
| Video conference platform like Zoom, Web-ex, or Go to Meeting | 25 | 7.1 | 204 | 58.0 | .000 | |
| Texting with clients | 73 | 20.7 | 126 | 35.8 | .000 | |
| Computer chat with clients | 13 | 3.7 | 75 | 21.3 | .000 | |
| Emailing with clients | 193 | 54.8 | 235 | 66.8 | .000 | |
| Phone calls with clients | 286 | 81.3 | 293 | 83.2 | .286 | |
| Skype or Facetime with client from phone | 9 | 2.6 | 50 | 14.2 | .000 | |
| Other | 16 | 4.5 | 28 | 8.0 | .014 | |
Note. *p-value from paired t-test of significance of pre-pandemic versus post-pandemic.
Changes in Technology Use During COVID-19 Pandemic.
| Frequency of Technology Use During COVID-19 | % Daily | % Once/A Few Times a Week | % One Time |
| Video conference platform like Zoom, Web-ex, or Go to Meeting | 26.8 | 59.7 | 13.4 |
| Texting with clients | 35.3 | 59.7 | 5.0 |
| Computer chat with clients | 27.5 | 49.2 | 23.2 |
| Emailing with clients | 38.3 | 51.1 | 10.6 |
| Phone calls with clients | 59.8 | 36.3 | 3.8 |
| Skype or Facetime with client from phone | 15.2 | 65.2 | 19.6 |
| Challenge Level of New Technology | % Very Challenging/Challenging | % A Little Challenging | % Not Challenging |
| Video conference platform like Zoom, Web-ex, or Go to Meeting | 44.4 | 41.8 | 13.8 |
| Texting with clients | 12.3 | 27.3 | 59.5 |
| Computer chat with clients | 31.9 | 29.0 | 39.1 |
| Emailing with clients | 11.7 | 22.8 | 65.5 |
| Phone calls with clients | 17.5 | 32.2 | 50.3 |
| Skype or Facetime with client from phone | 37.8 | 35.6 | 26.7 |
Changes in Job Stress.
| Low Job StressPre-pandemic ( | Moderate to High StressPre-pandemic ( | |||
| Job Stress Level Post Pandemic |
| % |
| % |
| No Change in stress level | 31 | 17.6 | 23 | 13.1 |
| Higher stress level | 145 | 82.4 | 152 | 86.9 |
Client Safety and Safety Strategies Discussed.
| Changes in Client Safety Since Pandemic Began |
| % |
| Safety has decreased a little | 147 | 44.5 |
| Safety has decreased a lot | 96 | 29.1 |
| Client safety is the same | 64 | 19.4 |
| Clients are safer | 23 | 7.0 |
| Safety Strategies Discussed |
| % |
| Suggesting using a hotline, chat, or text service from a social service agency | 279 | 89.7 |
| Encouraging calling the police | 251 | 82.8 |
| Suggesting using social media and phones to connect with other people | 238 | 79.6 |
| Trying to avoid conflict with people they live with | 240 | 79.2 |
| Offering emergency shelter | 236 | 77.1 |
| Encouraging them to stay in another home or residence | 226 | 76.1 |
| Teaching conflict de-escalation techniques | 216 | 73.0 |
| Encouraging them to stay in another room from people they live with | 198 | 66.4 |
| Encouraging calling CPS | 169 | 59.3 |
| Offering housing programs | 157 | 55.5 |
| Encouraging them to stay off social media (Facebook, Snapchat, Twitter, Instagram) | 139 | 47.9 |