Figures & Tables
Tables
District Referral Model Features Referral Model Goals Balaka Linked clients to all community services that chose to be members of the referral network. LIFT conducted a thorough mapping of services and invited all interested organizations (government, CSO, NGO, etc.) to participate.
Clients were expected to complete referrals themselves.
Used CommCare, an mHealth app, for data collection and management.
Providers made referrals for one service at a time to promote completion of the referral.
There was no limit on the number of referrals a client could be given over time, although few (<1%) clients chose more than 1 referral.
Full range of ES/L/FS services were included, based on what already existed in the community. LIFT did not create new services.
Most popular services were microfinance, health, and government-supported services for agriculture and social welfare.
This first referral model was designed for local ownership and sustainability and featured a systems-level approach to referral network membership. This model also sought to accommodate clients across the vulnerability spectrum, offering referrals to existing economic strengthening services targeting less vulnerable households (such as microfinance), somewhat vulnerable households (such as savings groups or land rights education), and very vulnerable households (such as asset transfer). Kasungu and Lilongwe Linked clients directly from NCST sites to VSLA (clinic to community referral).
When food aid was available at NCST sites, clients were also referred to food aid (within health facility referral).
Clients were guided to VSLA by a referral volunteer to ensure completion.
Used paper referral tools for data collection and management.
Each client received one referral only.
The options for referral were from the NCST site to VSLA, or vice versa, with referrals given to food aid on a limited basis.
LIFT created VSLAs if none existed.
This second referral model was designed to be simpler to implement, in that it connected NCST clients directly to VSLA (and food aid, when available). In addition, this model took advantage of existing VSLAs to accelerate start-up time and reduce management costs. Abbreviations: CSO, civil society organization; ES, economic strengthening; FS, food security; L, livelihood; LIFT, Livelihoods and Food Security Technical Assistance II project; NCST, Nutrition Counseling, Support, and Treatment; VSLA, village savings and loan association.
- TABLE 2.
Focus Group Discussion Participants in Malawi, by District and Type of Service Provider
District Health Care Providers Non-Health Care Providers Balaka 7 individuals representing 5 service providers (NCST facilities and community health organizations) 7 individuals representing 7 non-health service providers Kasungu 8 individuals from 5 NCST facilities 9 individuals selected based on their role as Referral Volunteers (trained to accompany referral clients) and Village Agents (savings group leaders) Lilongwe 8 individuals from 3 NCST facilities 8 individuals selected based on their role as Referral Volunteers (trained to accompany referral clients) and Village Agents (savings group leaders) Abbreviation: NCST, Nutrition Counseling, Support, and Treatment.
Activity Jun 22–26, 2015 Jun 29–Jul 3, 2015 Jul 6–10, 2015 Jul 13–17, 2015 Training Held training for LIFT data collectors and FGD facilitators in Lilongwe Interviews with referral clients Translated interview tool and instructions into Chichewa Interviews with Kasungu clients Interviews with Balaka clients Interviews with Lilongwe clients Focus group discussions with service providers Translated FGD tool and instructions into Chichewa FGDs with health and non-health providers in Kasungu and Lilongwe districts FGDs with health and non-health providers in Balaka
Began transcription and translation of FGD transcriptsContinued transcription and translation of FGD transcripts until completed by August 7 Abbreviations: FGD, focus group discussion; LIFT, Livelihoods and Food Security Technical Assistance II project.
- TABLE 4.
Percentage of Referral Clients in Malawi Confirming Referral Benefits, by District, 2015
Referral Benefit Balaka Kasungu and Lilongwe Health Benefits Feel they are better able to stay on medication as result of referral 72.7% 95.7% Willing to spend savings on health costs after referral 76.0% 92.3% Attribute improvement in health to service received via referral 60.9% 81.1% Attribute improvement in nutrition to service received via referral 52.2% 70.8% Savings Benefits Able to save more money after referral 56.0% 85.6% Household Benefits Had household savings before referral 63.3% 41.6% Had household savings after referral 66.7% 81.4% Referral Process and Service Access Knew of economic strengthening service availability before referral 65.0% 44.2% Found referral process user-friendly 60.9% 81.1% Reported they will continue using service after referral 68.3% 96.7%







