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METODOLOGIE PER LA VALUTAZIONE DELL'ADERENZA TERAPEUTICA
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Methodologies for medication adherence evaluation
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Anno accademico 2023/2024
- Codice attività didattica
- STF0272
- Docenti
- Samuel Sebastian Allemann (Titolare)
- Corso di studio
- [f003-c503] laurea magistrale in farmacia - a torino
- Anno
- 4° anno, 5° anno
- Periodo
- Secondo semestre
- Tipologia
- A scelta dello studente
- Crediti/Valenza
- 2
- SSD attività didattica
- CHIM/08 - chimica farmaceutica
- Erogazione
- Mista
- Lingua
- Inglese
- Frequenza
- In parte obbligatoria
- Tipologia esame
- Scritto
- Prerequisiti
- It represents a useful aspect to have a basic knowledge and experience working with R and R Studio, anyway the students will receive the necessary support to start with the use of the software.
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Sommario insegnamento
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Obiettivi formativi
(1) Description of the process of adherence to medications and of its component, and of the way these apply to different research questions and study designs
(2) Descriptions of different measurement options available
(3) Examples of calculation of adherence to medications from electronic healhcare data using tools for statistical computing- Oggetto:
Risultati dell'apprendimento attesi
Knowledge of the correct methodological approach to adherence evaluation.
Ability to use IT tools for statistical analysis of data-sets, like R-studio
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Programma
Research on assessing medication adherence applies approaches from observational, interventional and implementation science. This course offers fundamentals for correct conceptualization of adherence, as well as a view of valid methods of adherence measurements, appropriate data analyses, and complete and accurate reporting of results.
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Modalità di insegnamento
Part of the lessons will be carried out online: the teacher will upload teaching material, instructions, etc. to the Moodle page of the course and will follow the students through remote online lessons and provide them with the basic knowledge of the correct methodological approach to adherence evaluation.
Part of the lessons will be in presence and will provide through a practical approach examples of calculation of adherence to medications from electronic healhcare data using tools for statistical computing- Oggetto:
Modalità di verifica dell'apprendimento
Students will be asked to perform an analysis of a simple data set and to report on results, following the methodological template discussed during the lectures
Testi consigliati e bibliografia
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A.L. Dima, D. Dediu, S. Allemann, AdhereR: Adherence to medications,2019
S. De Geest et al., ESPACOMP medication adherence reporting guidelines (EMERGE), Annals of Internal Medicine, 2018
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Note
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Orario lezioni
Lezioni: dal 08/05/2023 al 31/05/2023
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