Enhancing Data-driven Decision Making in HIV Care with Viral Load and Early Infant Diagnosis Data Dashboards in Côte d’Ivoire: A Qualitative Study (Preprint)

• DOI: 10.2196/preprints.76550
• Publication Date: 2025-05-01T20:20:07Z
• Authors: Yao He; Yves-Rolland Koua...; Paul Henri Assoa; Nancy Puttkammer; Stephen Gloyd; Noah Hoffman; Bradley Wagenaar; Casey Iiams-Hauser; Pascal Komena; N'zi Pierre Fouri...; Adama Sanogo Pong...; Jan Flowers; Nadine Abiola; Natacha Kohemun; Jean-Bernard Koff...; Christiane Adje-T...; Lucy Perrone
• Keywords: Preprint; Cote d ivoire; Qualitative property

<sec> <title>BACKGROUND</title> Data dashboards are popular tools for supporting routine monitoring and decision-making in public health. Two were developed Côte d’Ivoire to visualize laboratory data on HIV viral load (VL) early infant diagnosis (EID) testing. </sec> <title>OBJECTIVE</title> This study assessed the values, attitudes, experiences regarding data-driven VL EID among existing potential dashboard users d’Ivoire. <title>METHODS</title> We conducted a qualitative including two focus group discussions (FGDs) 12 in-depth interviews (IDIs). The Conceptual Framework Use of Health Decision Making guided FGDs, Consolidated Implementation Research informed IDIs. used deductive inductive approaches analyze interview data. <title>RESULTS</title> 26 participants from 17 organizations; 11 (42.3%) female. reported supportive culture that valued external pressure PEPFAR motivated use. considered useful performances making decisions service delivery operations. Existing regularly. Potential expressed interest speed ability track progress. simple straightforward compared other analytical but suggested updating more frequently visualizing <title>CONCLUSIONS</title> highlighted importance promote However, challenges such as limited access Internet equipment need be addressed. <title>CLINICALTRIAL</title> N/A