“…because the social work never ends”: a qualitative study exploring how NGOs responded to emerging needs while upholding responsibility to HIV prevention and treatment during the war in Ukraine
Bibliographic record
Abstract
INTRODUCTION: Since the onset of the Russian invasion on 24 February 2022, the health system in Ukraine has been placed under tremendous pressure, with damage to critical infrastructure, large losses of human resources, restricted mobility and significant supply chain interruptions. Based on a longstanding partnership between the Ukrainian Institute for Social Research after Oleksandr Yaremenko (UISR after O. Yaremenko) and the Institute for Global Public Health at the University of Manitoba, we explore the impact of the full-scale war on non-governmental organizations (NGOs, including charitable organizations) providing services for key population groups in Ukraine. METHODS: We conducted in-depth qualitative interviews with key representatives from NGOs working with key population groups (i.e., people living with HIV, sex workers, men who have sex with men, people who inject drugs and transgender people) throughout Ukraine. Members of the UISR after O. Yaremenko research team recruited participants from organizations working at national, regional and local levels. The research team members conducted 26 interviews (22 with women and four with men) between 15 May and 7 June 2023. Interviews were conducted virtually in Ukrainian and interpretively analysed to draw out key themes. RESULTS: Applying Roels et al.'s notion of "first responders", our findings explore how the full-scale war personally and organizationally impacted workers at Ukrainian NGOs. Despite the impacts to participants' physical and mental health, frontline workers continued to support HIV prevention and treatment while also responding to the need for humanitarian aid among their clients and the wider community. Furthermore, despite inadequate pay and compensation for their work, frontline workers assumed additional responsibilities, thereby exceeding their normal workload during the extraordinary conditions of war. CONCLUSIONS: NGOs play a vital role as responders, adapting their services to meet the emergent needs of communities during structural shocks, such as war. There is an urgent need to support NGOs with adequate resources for key population service delivery and to increase support for their important role in humanitarian aid.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.024 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".