UMAI-WINGS: Evaluating the Effectiveness of Implementing mHealth Intimate Partner Violence Prevention Intervention in Reducing Intimate Partner Violence Among Women from Key Affected Populations in Kazakhstan Using a Community-Based Approach
Abstract
:1. Introduction
1.1. Global and National Overview of IPV
1.2. IPV and Risk Factors in Key Affected Populations (KAPs)
1.3. Multiple Risk Factors Drive IPV Among KAPs
1.4. Structural Barriers in Kazakhstan
- (1)
- Lack of surveillance data: national household surveys exclude KAPs, preventing the timely identification of IPV hotspots;
- (2)
- Fragmented services: there is little coordination between mainstream IPV services and programs serving women from KAPs;
- (3)
- Stigma and discrimination: widespread blame of KAPs for the violence they experience inhibits access to support;
- (4)
- Limited community engagement: few mechanisms exist to mobilize stakeholders for inclusive policy and service development.
1.5. Study Rationale and Aim
2. Materials and Methods
2.1. Study Design
2.2. Study Participants
2.3. Intervention: UMAI-WINGS Community Coordinated Response Model and Role of the Community Action and Accountability Board (CAAB)
- (1)
- Developing a shared charter: at the outset, CAAB members collaboratively created a shared vision and operating agreement to guide their work in addressing IPV/GBV in the community.
- (2)
- Reviewing local IPV/GBV data: the CAAB reviewed existing data on the prevalence and dynamics of IPV/GBV among KAPs in their communities, fostering shared understanding of the magnitude and complexity of the problem.
- (3)
- Service mapping and gap analysis: CAAB members conducted a comprehensive mapping of local IPV/GBV-related services, identified service gaps (e.g., lack of inclusive shelters, legal aid, or mental health care), and pinpointed structural barriers (e.g., stigma, discrimination, exclusionary policies, and lack of transportation) that prevent KAP women from accessing care.
- (4)
- Network building across sectors: the CAAB facilitated the development of a cross-sectoral network to enhance service coordination, streamline referrals, and strengthen the safety net for women experiencing IPV.
- (5)
- Capacity building and training: CAAB members were trained on the UMAI-WINGS intervention content and implementation procedures; trainings also covered how to interpret and use UMAI-WINGS data for planning and advocacy, promoting evidence-informed local responses to IPV/GBV.
- (6)
- Participatory adaptation: CAAB feedback was central to adapting the original WINGS model; CAABs and KAP representatives informed ethical adjustments, content refinement, and cultural tailoring, especially regarding safety planning components for women engaged in sex work and transgender women, where the highest risk and greatest barriers were identified.
2.4. Community Engagement and Capacity Building in Intervention Trial
2.5. Measurement
2.6. Data Analysis
3. Results
3.1. Sample Flow and Retention
3.2. Sociodemographic Characteristics
3.3. Baseline Group Comparisons
3.4. IPV Outcomes
3.5. Acceptability
3.6. Safety
4. Discussion
4.1. Limitations of the Study
4.2. Strength and Implications of the Study
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Univariable | Bivariable Comparisons | |||
---|---|---|---|---|
Full Sample (n = 458) | Almaty Oblast—Control (n = 194) | Almaty City—Intervention (n = 264) | p-Value | |
Age | 36.7 (9.0) | 36.1 (9.0) | 37.0 (9.0) | 0.285 |
Nationality | ||||
Kazakh | 169 (36.9%) | 89 (45.9%) | 80 (30.3%) | <0.001 |
Russian | 142 (31.0%) | 38 (19.6%) | 104 (39.4%) | |
Other | 147 (32.1%) | 67 (34.5%) | 80 (30.3%) | |
Education | ||||
9th grade or lower | 101 (22.1%) | 37 (19.1%) | 64 (24.2%) | 0.258 |
Secondary education | 145 (31.7%) | 57 (29.4%) | 88 (33.3%) | |
High school | 161 (35.2%) | 77 (39.7%) | 84 (31.8%) | |
Bachelor’s or more | 51 (11.1%) | 23 (11.9%) | 28 (10.6%) | |
Marital status | ||||
Married | 46 (10.0%) | 12 (6.2%) | 34 (12.9%) | 0.019 |
Not married/other | 412 (89.96%) | 182 (93.8%) | 230 (87.1%) | |
Homelessness (past year) | 186 (40.6%) | 104 (53.6%) | 82 (31.1%) | <0.001 |
Food insecurity (past year) | 254 (55.5%) | 133 (68.6%) | 121 (45.8%) | <0.001 |
Income (USD) | 412.22 (472.34) | 412.53 (399.91) | 411.99 (519.92) | 0.990 |
Key affected population | ||||
Sex workers | 335 (73.1%) | 163 (84.0%) | 172 (65.2%) | <0.001 |
Persons who use drugs | 266 (58.1%) | 146 (75.3%) | 120 (45.5%) | <0.001 |
Persons living with HIV | 140 (30.6%) | 34 (17.5%) | 106 (40.2%) | <0.001 |
Univariable | Bivariable Comparisons | |||
---|---|---|---|---|
Full Sample (n = 458) | Almaty Oblast—Control (n = 194) | Almaty City—Intervention (n = 264) | Unadjusted RR (95% CI) | |
Psychological | ||||
Baseline | 296 (64.6%) | 127 (65.5%) | 169 (64.0%) | 0.97 (0.83, 1.15) |
Six-month follow-up | 256 (55.9%) | 146 (75.3%) | 110 (41.7%) | 0.56 (0.48, 0.66) |
Sexual | ||||
Baseline | 288 (62.9%) | 123 (63.4%) | 165 (62.5%) | 0.98 (0.84, 1.16) |
Six-month follow-up | 252 (55.0%) | 137 (70.6%) | 115 (43.6%) | 0.63 (0.54, 0.74) |
Physical | ||||
Baseline | 267 (58.3%) | 130 (67.0%) | 137 (51.9%) | 0.77 (0.66, 0.90) |
Six-month follow-up | 211 (46.1%) | 143 (73.7%) | 68 (25.8%) | 0.30 (0.23, 0.40) |
Multivariable Model | ||
---|---|---|
aRR (95% CI) | p-Value | |
Past 6-month intimate partner violence | ||
Psychological | 0.77 (0.69, 0.86) | <0.0001 |
Sexual | 0.73 (0.63, 0.85) | <0.0001 |
Physical | 0.71 (0.63, 0.80) | <0.0001 |
Multivariable Model | ||
---|---|---|
aRR (95% CI) | p-Value | |
Past 6-month psychological IPV | ||
Persons living with HIV | 1.05 (0.79, 1.40) | 0.748 |
Persons who use drugs | 1.23 (0.92, 1.63) | 0.160 |
Sex workers | 1.03 (0.78, 1.37) | 0.833 |
Past 6-month sexual IPV | ||
Persons living with HIV | 0.91 (0.71, 1.18) | 0.478 |
Persons who use drugs | 1.07 (0.78, 1.48) | 0.678 |
Sex workers | 1.06 (0.79, 1.41) | 0.697 |
Past 6-month physical IPV | ||
Persons living with HIV | 1.03 (0.81, 1.32) | 0.796 |
Persons who use drugs | 0.95 (0.74, 1.22) | 0.690 |
Sex workers | 0.97 (0.74, 1.28) | 0.838 |
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Terlikbayeva, A.; Primbetova, S.; Gatanaga, O.S.; Chang, M.; Rozental, Y.; Nurkatova, M.; Baisakova, Z.; Bilokon, Y.; Karan, S.E.; Dasgupta, A.; et al. UMAI-WINGS: Evaluating the Effectiveness of Implementing mHealth Intimate Partner Violence Prevention Intervention in Reducing Intimate Partner Violence Among Women from Key Affected Populations in Kazakhstan Using a Community-Based Approach. Behav. Sci. 2025, 15, 641. https://doi.org/10.3390/bs15050641
Terlikbayeva A, Primbetova S, Gatanaga OS, Chang M, Rozental Y, Nurkatova M, Baisakova Z, Bilokon Y, Karan SE, Dasgupta A, et al. UMAI-WINGS: Evaluating the Effectiveness of Implementing mHealth Intimate Partner Violence Prevention Intervention in Reducing Intimate Partner Violence Among Women from Key Affected Populations in Kazakhstan Using a Community-Based Approach. Behavioral Sciences. 2025; 15(5):641. https://doi.org/10.3390/bs15050641
Chicago/Turabian StyleTerlikbayeva, Assel, Sholpan Primbetova, Ohshue S. Gatanaga, Mingway Chang, Yelena Rozental, Meruert Nurkatova, Zulfiya Baisakova, Yelena Bilokon, Shelly E. Karan, Anindita Dasgupta, and et al. 2025. "UMAI-WINGS: Evaluating the Effectiveness of Implementing mHealth Intimate Partner Violence Prevention Intervention in Reducing Intimate Partner Violence Among Women from Key Affected Populations in Kazakhstan Using a Community-Based Approach" Behavioral Sciences 15, no. 5: 641. https://doi.org/10.3390/bs15050641
APA StyleTerlikbayeva, A., Primbetova, S., Gatanaga, O. S., Chang, M., Rozental, Y., Nurkatova, M., Baisakova, Z., Bilokon, Y., Karan, S. E., Dasgupta, A., & Gilbert, L. (2025). UMAI-WINGS: Evaluating the Effectiveness of Implementing mHealth Intimate Partner Violence Prevention Intervention in Reducing Intimate Partner Violence Among Women from Key Affected Populations in Kazakhstan Using a Community-Based Approach. Behavioral Sciences, 15(5), 641. https://doi.org/10.3390/bs15050641