The 7th East African Health and Scientific Conference

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Presentation transcript:

The 7th East African Health and Scientific Conference March, 2019 The 7th East African Health and Scientific Conference Innovative Approaches to Cross-Border Health: Case of Cross-Border Health Unit Model Muroki, D.; Kitungulu, B.; Oindo, M.; Kamau, L. (FHI 360)

CB-HIPP Goal and Result Areas Goal: Catalyze and support sustainable and African-led regional health development partnerships to improve health outcomes RA 1: Increased access to and uptake of integrated health and HIV/AIDS services RA 3: Strengthened leadership and governance by intergovernmental institutions RA 2: Alternative health care financing models identified, implemented and tested Mandate: USAID in consultation with EAC mandated CB-HIPP to define, implement, document and disseminate lessons learned on sustainable models for cross-border health service delivery to meet the unique needs of mobile and cross-border populations living and traveling along major cross-border regions of Eastern Africa.

CB-HIPP Cross-Border Sites Land Cross-Border Learning Sites 1. Busia, Kenya/Uganda 2. Malaba, Kenya/Uganda 3. Gatuna/Katuna, Rwanda/Uganda 4. Holili/Taveta, Tanzania/Kenya 5. Rusumo, Rwanda/Tanzania Wet Cross-Border Learning Sites 6. Sio Port/Victoria/Majanji, Kenya/Uganda 7. Muhuru Bay/Kirongwe, Kenya/Tanzania 8. Kabonga/Kigoma Region, Burundi/Tanzania 9. Kasensero/Kagera Region, Uganda/Tanzania 10. Gisenyi/Goma, Rwanda/DRC 1 2 3 4 6 8 7 9 10 5

Standard CB-HIPP Cross-Border Learning Site

Background/Introduction National health systems at border areas serve common cross-border mobile populations Limited communication/collaboration with each other on health service delivery Lack of formal cross-border facility-facility linkage and cross-border referral and tracing mechanism Differing standards of treatment care and management, e.g., HIV testing services, antiretroviral therapy (ART) and tuberculosis across countries Absence of regional guidance on prevention, treatment and management of HIV and AIDS for mobile and cross- border populations that include ART refills

Methods used to define Standard Package for cross-border health Stakeholder engagement at regional, national, site level for buy-in and ownership Comprehensive site assessments Extensive Intra and Inter-Partner States’ dialogue and consultation on cross- border health priorities and policy actions

Cross-Border Direct Service Delivery and Referral: CBHU Model Cross-Border Health Unit Cross-Border Peer Educator Community Health Extension Worker/Community Health Worker Supervisor Focal Person(s) at Health Facility Health Records Information Officer Health Facility In-Charge Innovative model for cross-border health direct service delivery and referral across HIV and other treatment cascades 6 CBHUs established at CB-HIPP cross-border sites in Kenya, Uganda and Tanzania CBHUs working with 35 health facilities on either side of the border

Cross-Border Direct Service Delivery and Referral: CBHU Model contd. Facilitates a formal process for cross-border health access Strengthens community-facility linkages for service delivery and access Documents and tracks cross-border service delivery Provides a platform for capacity strengthening for health care workers and community volunteers

Case study PNS/ICT Network, Malaba CBHU (December 2018) Sexual Partner A Ugandan from Malaba, married, long distance truck driver who crosses the border monthly A Ugandan from Malaba, married, general population but has never crossed the border A Kenyan from Kitale, married, long distance truck driver who crosses the border weekly A Kenyan from Nairobi, married, long distance truck driver who crosses the border weekly A Kenyan from Nakuru, married, long distance truck driver who crosses the border weekly SP1 SP2 SP3 SP4 Sexual Partner SP6 SP5 A Ugandan from Masaka, married, long distance truck driver who crosses the border monthly Index Client Ugandan, resident in Malaba Uganda, ever married, female sex worker Case study PNS/ICT Network, Malaba CBHU (December 2018)

Results CBHU model has provided platform for coordination and collaboration across border health facilities and county/district health management teams Developed site directories with relevant contacts of key stakeholders on either side of the border for ease of communication Established WhatsApp groups to facilitate real-time communication to teams across borders Conducts monthly meetings to review data, discuss demand creation strategies with high yield and HCWs from border facilities exchange information on defaulters and LTFU that require following up CBHUs have facilitated targeted service delivery through static facility sites and community-based outreaches for mobile and cross-border populations Through CBHUs’ cross-border peer educators, the project has identified and mapped high-yield hotspots across cross-border sites, e.g., Kenya/Uganda border sites Strengthened community-facility and facility-facility linkages for improved cross-border service delivery and referral and support to health facilities with specific focus on defaulter tracing and loss-to-follow-up on either side of the border. CBHU supported Sio Port Sub-County Hospital trace 137 defaulters and 51 lost to follow-up PLHIV who were reinstated back into care in Sio Port and other preferred health facilities between January 2017 and December 2018.

Discussion/Recommendation/Conclusion Through CBHUs, the project has demonstrated potential to link clients of mobile populations to HIV services in the EAC region adding value to respective bilateral programs CBHU Model has potential for replication but within a policy framework Development of regional cross border health policy and programming is a laborious process and all players need to be cognizant of geo-political realities Cross-border health policy and programming can contribute to HIV and TB epidemic control as well as disease surveillance, prevention and management; disease outbreak preparedness and response. Innovative strategies for health service delivery in these cross border areas is replicable for other mobile populations including internal mobility

Acknowledgement