186542
Making it happen with logistics data! Factors for high reporting rates
Richard Sabumba
,
USAID | DELIVER PROJECT, Harare, Zimbabwe
Jayne Waweru
,
Malawi Central Medical Stores, Lilongwe, Malawi
Tsitsi Katungire
,
USAID | DELIVER PROJECT, Harare, Zimbabwe
Carmit Keddem, BA, MA
,
USAID | DELIVER PROJECT, Arlington, VA
Naomi Printz, BA, MA, MP
,
USAID | DELIVER PROJECT, Arlington, VA
Yasmin Chandani
,
USAID | DELIVER PROJECT, Arlington, VA
Logistics and patient data is critical for managers of HIV and AIDS programs to ensure a continuous supply of commodities, and for advocacy and resource mobilization. Achieving high reporting rates to collect this data can be challenging in countries where human resources are limited. Strategies to reduce the reporting burden and ensure timely and accurate information are key factors for success. In Zimbabwe and Kenya, the Logistics Management Information System (LMIS) collects essential logistics data, as well as key patient data. A number of strategies were put in place to encourage reporting. These include: • Linking reporting with resupply by implementing a “no report, no product” policy • Computerization of LMIS data aggregation and analysis at the central level • Allocation of data entry and management resources at the central level • Feedback to facilities. • Eliminating reporting requirements that are not used for decision making. In both countries, reporting rates for the LMIS for ARV drugs have averaged above 90%, reaching as high as 98% in some months. High reporting rates have provided managers with data to enhance decision-making for advocacy and resource mobilization; forecasting program needs; planning procurements; coordinating donors; distribution of stocks to facilities; identifying areas for improvement within the logistics system. Country programs struggling with reporting and managing programs due to lack of data should look to the strategies utilized in Zimbabwe and Kenya, where the effective reporting, aggregation, and analysis of data have informed and enhanced decision-making for ART programs.
Learning Objectives: Develop strategies to improve reporting rates to collect essential logistics data from health facilities providing antiretroviral therapy to ensure a continuous supply of ARV drugs.
Keywords: HIV Interventions, Data Collection
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I am a licensed pharmacist with more than 3 years experience managing ARV drugs supply chain in Kenya and giving technical assistance to USAID.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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