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Inappropriate prescribing in the elderly patient

National Research Project

“INAPPROPRIATE PRESCRIBING IN THE ELDERLY PATIENT “

 

Principal Investigator
Alessandro Mugelli
Department of Preclinical and
Clinical Pharmacology,
University of Florence

List of investigators in charge of the units involved in the study

Giovanni Corrao
Department of Statistics
and Quantitative Methods
University of Milano-Bicocca
Via Bicocca degli Arcimboldi 8,
U7,20126 Milan, Italy
E-mail: [email protected]

Vitale Cristiana
Research Institute San Raffaele Pisana of Rome, in collaboration with Lazio and Puglia regions
Via della Pisana,235 Rome. E-mail: [email protected]

Bernabei Roberto
Catholic University “SACRO CUORE”, in collaboration with Umbria Region
Largo Francesco Vito n. 1 – Roma (RM) E-mail: [email protected]

Cipriani Francesco
Regional agency for public health services of Tuscany, Viale Milton 7 – FIRENZE (FI)
E-mail: [email protected]

Davoli Marina
AUSL Rome and of Rome, B.go Santo Spirito, 3 – Rome (RM) E-mail: [email protected]

Achille Patrizio Caputi
University of Messina, in collaboration with LHA Caserta 1, Via Consolare Valeria SN- Messina (ME)
E-mail:[email protected]

The co-occurrence of multiple chronic illnesses is common in elderly people. Because of the complexity of the geriatric patient, physicians should carefully assess the benefit/risk ratio of any drug prescription. Indeed, although the potential benefits of pharmacotherapy are unquestionable, the negative outcomes of medications in older people are a relevant issue.

The definition of “Inappropriate Prescribing” (IP) in the geriatric population is still debated. Nowadays, all available IP criteria (e.g. Beers) are based on experts’ consensus, and they often lack a formal validation based on ‘hard’ end-points (e.g. hospitalization). Furthermore, IP criteria are not specifically tailored to cardiovascular diseases, which constitute the most frequent conditions affecting the elderly population.

To define a series of IP indicators among elderly patients who suffer from cardiovascular diseases and other chronic comorbidities; to evaluate the relationship between the IP and ‘hard’ end-points (one-year acute cardiovascular events, all-cause hospitalization and
mortality) using population-based healthcare databases (Health Information Systems -HIS) and Nursing Home (NH) databases.

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