Envisioning the Future of Burnout Support: Understanding Frontline Workers' Experiences in Nonprofit Gender-Based Violence Organizations

Frontline workers (FLWs) provide essential services necessary for a functioning society, but the nature of their work contributes to their high rates of burnout. This burnout impacts not only their own health, but also has dire consequences for the people most in need of their services. Digital interventions for burnout may provide scalable, accessible, and cost-effective care. However, most have been designed to intervene at the individual-level and have been inadequate in sustainably alleviating burnout. In addition, these interventions have not considered how we might integrate more effective organizational-level strategies or reflect FLWs’ own experiences and the unique contexts of frontline work in their design. One important, yet understudied, domain of frontline work that experiences high rates of burnout is gender-based violence (GBV) service provision in nonprofit organizations. Using a community-based participatory research approach, we ran 8 co-design workshops to understand FLWs’ experiences, hopes, and perceptions of technology for burnout support within their organizations with FLWs and supervisors from various nonprofit GBV organizations in a large metropolitan city in the United States. We found that participants greatly valued their support systems and supervisory relationships at work. And while there was a desire to use technology as support tools for burnout, participants were wary of how it could conflict with these support systems and important organizational values. We contribute a multilevel framework for digital burnout interventions and argue for a methodological shift to an assets-based approach to reframe the future of research and design of burnout interventions that are centered on the needs, values, and lived experiences of FLWs.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/cscw/179544/2024

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/10.1145/3686932
At a Glance

Paper Snapshot

fact_check
dataset
Source
CSCW
calendar_month
Year
2024
emoji_events
Award
No award tagged
group
Authors
6 authors
sell
Subtopics
—
work
Professions
—
article
Content Status
Abstract only
hub
Related Papers
0 related papers