Brazilian consensus of potentially inappropriate medication for elderly people

• Autor(a) principal: Oliveira,Márcio Galvão
• Data de Publicação: 2016
• Outros Autores: Amorim,Welma Wildes, Oliveira,Caroline Ribeiro Borja, Coqueiro,Hérica Lima, Gusmão,Letícia Cruz, Passos,Luiz Carlos
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Geriatrics, Gerontology and Aging (Online)
• Texto Completo: https://ggaging.com/details/397
• topic: potentially inappropriate medications list; aged; Brazil.

<p><b>OBJECTIVE:</b> To validate the 2012 Beers criteria and the 2006 STOPP contents, in order to elaborate a national classification criteria of potentially inappropriate medication for the elderly.<br> <b>METHODS:</b> A two-round modified Delphi technique was employed to establish the Brazilian Consensus of Potentially Inappropriate Medications in the elderly, based on the 2012 Beers criteria and 2006 STOPP. The expert panel was composed of ten individuals. An electronic questionnaire was used, in which each expert scored the criteria through a 5-points Likert scale. In the first round, the participants were asked to assess the potential inadequacy of a preliminary list of medicines and propose suggestions. Then, for each criterion, the scores mean was calculated and its respective 95% CI. The criteria with a 95% CI &gt; 4,0 upper limit were submitted to the second round. All medicines in the criteria with a 95% CI <u>&gt;</u> 4,0 lower limit, in the second round, were classified as potentially inappropriate.<br> <b>RESULTS:</b> The criteria that did not reach consensus were: aspirin use for primary prevention of cardiovascular events, sliding scale insulin prescription and the use of alpha-blockers, oral or transdermal estrogens and tricyclic antidepressants for the elderly with urinary tract incontinence. At the end, there were 118 criteria, in which 43 were independent from clinical conditions and 75 were dependent from clinical conditions/disease of the elderly.<br> <b>CONCLUSION:</b> It was validated a criteria of medicines that should be avoided in the elderly. These data can optimize the medicines prescription in this population.</p>