Improving data use for decision making by neglected tropical disease program teams: eight use cases

Gates Open Research

article

Liz Grubin¹  Lakshmi Balachandran²  Sarah Bartlett³  Nana-Kwadwo Biritwum⁴  Simon Brooker⁴  Fiona Fleming⁵  Karsor Kollie⁶  Sultani Matendechero⁷  Birhan Mengistu⁸  TJ Muehleman⁹  Upendo Mwingira^1,10  Brooke Partridge¹  Alex Pavluck³  Maria Rebollo Polo^1,11  Modeste Tezembong^1,11  Derek Treatman¹  Rosalyn Yeary⁴  Katie Zoerhoff^1,12  Honorat Zoure^1,11 

[1] Vital Wave;Clinton Health Access Initiative;Sightsavers;Bill & Melinda Gates Foundation;SCI Foundation;Non-Communicable and Neglected Tropical Disease Program, Ministry of Health and Social Welfare;Division of Vector Borne and Neglected Tropical Diseases, Kenya Ministry of Health;Neglected Tropical Diseases, Federal Ministry of Health of Ethiopia;Standard Code;Tanzanian Neglected Tropical Diseases Control Programme, Ministry of Health;Expanded Special Project on the Elimination of Neglected Tropical Diseases;RTI International, Research Triangle Park

关键词: Neglected tropical diseases;    data systems;    decision-making;    use cases;    data solutions;   

DOI  :  10.12688/gatesopenres.13407.1

学科分类：电子与电气工程

来源: American Journal Of Pharmtech Research

【 摘 要 】

Background: The achievement of neglected tropical diseases (NTDs) program goals depends on numerous factors, including the ability of national programs to use high-quality, timely data to inform their decision-making and program delivery. This paper presents a use case analysis of the routine data used by national NTD programs targeting lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminthiasis, and trachoma. Methods: The use cases were developed through a combination of secondary and primary research focused on both global trends and deep dives into Burkina Faso, Ethiopia, and Tanzania. Results were refined through a stakeholder convening and the final eight use cases were determined through iteration and prioritization with stakeholders. Results: Eight use cases were developed: improve treatment register data quality, strengthen supervision of drug distributors during mass drug administration (MDA), generate accurate community-level population data for MDAs, create and manage an accurate inventory of drugs, meet district coverage targets during MDA campaigns, feedback and performance to sub-district teams, feedback on performance to sub-national teams, and national-level program use of data for evaluation and decision making. Each use case identifies key actors and their data-related needs and critical challenges, defines the current and desired state, and articulates the profile of a solution (digital and non-digital) needed to complete the use case. Conclusion: The systematic strengthening of data use for decision-making in NTD programs is key for reaching the 2030 Roadmap goals. Integrated together, the presented use cases, when translated into action using appropriate and innovative solutions, can help to ensure that accurate and timely data are present at every step of a program and empower countries to use these data to make program decisions.

【 授权许可】

CC BY