Exploring the linkage between health technology assessment and decision making during COVID-19 public health emergency in a developing country: analysis of processes and results.

Objectives: The decision-making (DM) process in public administration is the subject of research from different perspectives and disciplines. Evidence-based policies, such as health technology assessment (HTA), are not the only support on which public policies are designed. During the COVID-19 pandemic WHO, national and subnational institutions developed HTA reports to guide DM. Despite this, inadequate variability was observed in the health technologies recommended and reimbursed by different provincial Health Ministries in a federally organized developing country like Argentina. The processes and results of DM on health technologies for COVID-19 in Health Ministries of Argentina were inquired.

Methods: A retrospective research design was developed, with triangulation of quantitative and qualitative methods. We retrieved information for the years 2020-2021 through document review of official webpages, surveys, and interviews with decision-makers of the 25 Argentinian Ministries of Health. We analyzed the recommendations and reimbursement policies of seven health technologies.

Results: In contradiction with WHO's policies, ivermectine, inhaled ibuprofen, convalescent plasma and equine serum were widely recommended by most of Argentina's health ministries outside a clinical trial context, with risks for patients and a huge opportunity cost.

Conclusions: Despite an important HTA institutional capacity, the impact of HTA organizations and their technical reports was limited. Health Ministries with institutionalized HTA units had more adherence to WHO recommendations, but the influence of different technical and political criteria was identified. Power relations within and outside the administration, the pharmaceutical industry and academics, the media, social pressure, the judicial and legislative powers, and the political context strongly influenced DM.