Context: To achieve a health literacy program aimed at improving the use of medicines, it is necessary to have tools that identify educational needs through valid and reliable instruments. Aims: To validate instruments designed to evaluate the correct use of medicines in an elementary school in the state of Hidalgo, Mexico, applying the Delphi method. Methods: A descriptive, mixed study was carried out. Three questionnaires were designed based on a documentary analysis and the identification of influential variables expressed in dimensions and items, such as sociodemographic, pharmacotherapeutic, and clinical characteristics. The content validity was determined by applying the Delphi method, the mathematical model of Torgerson (MMT), and Aiken's v coefficient, while the internal reliability was determined by Cronbach's alpha value and the interobserver concordance by the Kappa index. Results: Three questionnaires were designed with 33, 48, and 44 items addressed to students, parents, and teachers respectively. The content was valid meeting the MMT criteria and Aiken's v values above 0.9. Reliability was moderate with Cronbach's alpha values of 0.6 and inter-observer agreement was moderate with Kappa index values of 0.4. Reliability and concordance values are accepted when considering the literature review and rigorous expert input. Conclusions: The designed questionnaires contain valid and reliable items that will allow obtaining the necessary information to build an education program of medication use in an elementary school considering the integration of students, parents, and teachers.

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Context: Prescription indication studies allow identifying the problems that arise during the use of the drug. Aims: To evaluate the treatments used in patients diagnosed with SARS-CoV-2 infection hospitalized in critical care service, through a prescription indication study. Methods: A longitudinal observational study of medication use of the indication-prescription type with elements of the therapeutic scheme and practical consequences was carried out. The sample was characterized from the sociodemographic, clinical, and pharmacotherapeutic points of view. The prescription was evaluated through the indicators: indication, therapeutic scheme, treatment individualization, and drug combinations. The detected adverse reactions were classified according to their causality by the Naranjo Algorithm, their severity, their clinical significance, and according to their mechanism by Rawlins and Thompson. Results: In the sample (n = 77), the male gender predominated (79%) between 27-59 years old (64%), alcohol consumer (62%), hypertensive (33%) with long hospital stay (51%). A total of 417 medications were analyzed, being antibiotics (50.6%) the most prescribed. 73.4% of the therapeutic schemes were correct; however, 26.6% had problems with the therapeutic schemes due to incorrect doses, intervals, duration of treatment, and risky interactions. According to Rawlins and Thompson, two probable adverse reactions were detected, mild, non-serious, and type A and B. Conclusions: The results obtained will allow the pharmaceutical professional to create risk matrices that guarantee a timely intervention in the health team to contribute to the rational and safe use of medicines in patients infected with SARS-CoV-2.