Challenges Limiting Healthcare Data Utilization for Policy Decision-Making in Tanzania: A Qualitative Panel Discussion.

Abstract Background: Accurate and reliable healthcare data are essential for effective policy decision-making, resource allocation, and improved health outcomes. In Tanzania, healthcare data utilization remains low, with various obstacles limiting the effective use of health information for decision-making. This study aimed to identify and understand the key obstacles that limit healthcare data utilization for policy decision-making in Tanzania, based on a qualitative panel discussion. Methods: A qualitative research approach was employed, focusing on a panel discussion with five experts in the field of health systems and Health Management Information Systems (HMIS) during the 8th Tanzania Health Summit. The panelists were purposively selected, representing diverse backgrounds and expertise in healthcare data utilization. Data were collected from the panelists' presentations and audience interaction, with 400 participants attending the session. A thematic analysis approach was used to identify the key obstacles limiting healthcare data utilization in Tanzania. Results: The study identifies key obstacles limiting healthcare data utilization in Tanzania, which include unskilled professionals, multiple health information systems, poor data quality, competing donor priorities, poor communication, healthcare staff fatigue, and low working morale. These challenges hinder effective data-driven decision-making and healthcare service delivery. Addressing these obstacles requires a multifaceted approach involving collaboration among stakeholders, investment in capacity building, harmonization of health information systems, improved communication, and prioritization of healthcare worker well-being. Conclusion: The findings of this study provide valuable insights into the challenges faced in healthcare data utilization for policy decision-making in Tanzania. Addressing these obstacles is critical for enhancing the capacity of healthcare professionals, policymakers, and other stakeholders to make informed decisions based on accurate, high-quality healthcare data. The study's results can serve as a foundation for targeted interventions and policy recommendations aimed at improving healthcare data utilization in Tanzania and in similar resource-limited settings.