Regulatory Challenges in the COVID-19 Era: The Case of Tunisia.

In view of the possible disruptions in the manufacturing and supply of health products following the coronavirus disease 2019 (COVID-19) pandemic, the Tunisian medicines regulatory authority was mobilized to guarantee patient safety. Teleworking has become the ultimate way of service continuity. The planning was revised according to health priorities. Work procedures were set online. A minimum list of medicines known as "medicines of health and strategic interest" was established. The Directorate of Pharmacy and Medicines (DPM) has been working on updating medicines stock data. A provisional suspension of authorizations for medicines export for 1 mo was decided. A fast-track procedure allowing the validation of alternative sources of raw materials has been put in place. An appeal for a fast track manufacture of hydroalcoholic gel/solutions was launched. A Monitored Emergency Use of Unregistered and Investigational Interventions (MEURI) procedure has been adopted in order to dispense off-label prescriptions of hydroxychloroquine and azithromycin combination. Focus groups were organized in order to set up therapeutic trials exploring possible strategies of COVID-19 treatment, such as serotherapy and BCG vaccine. This proactive and anticipatory policy has made it possible to meet the health challenges dictated by this crisis.

Valuing health-related quality of life using a hybrid approach: Tunisian value set for the EQ-5D-3L.

OBJECTIVE: To develop a value set for EQ-5D-3L based on the societal preferences of the Tunisian population. METHODS: A representative sample of the Tunisian general population was obtained through multistage quota sampling involving age, gender and region. Participants (n = 327), aged above 20 years, were interviewed using the EuroQol Portable Valuation Technology in face-to-face computer-assisted interviews. Participants completed 10 composite time trade-off (cTTO) and 10 discrete choice experiments (DCE) tasks. Utility values for the EQ-5D-3L health states were estimated using regression modeling. The cTTO and DCE data were analyzed using linear and conditional logistic regression modeling, respectively. Multiple hybrid models were computed to analyze the combined data and were compared on goodness of fit measured by the Akaike information criterion (AIC). RESULTS: A total of 300 participants with complete data that met quality criteria were included. All regression models showed both logical consistency and significance with respect to the parameter estimates. A hybrid model accounting for heteroscedasticity presented the lowest value for the AIC among the hybrid models. Hence, it was used to construct the Tunisian EQ-5D-3L valuation set with a range of predicted values from - 0.796 to 1.0. CONCLUSION: This study provides utility values for EQ-5D-3L health states for the Tunisian population. This value set will be used in economic evaluations of health technologies and for Tunisian health policy decision-making.