Assessing Multiple Medication Use With Probabilities of Benefits and Harms

Datos Bibliográficos

ID12797691
AutoresTerrence E Murphy (0000-0002-9687-8998, Yale School of Medicine,, autor de correspondencia), Joseph V Agostini (Yale School of Medicine and VA Connecticut Healthcare System), Peter H van Ness (Yale School of Medicine), Peter Peduzzi (0000-0002-7634-6804, Yale School of Medicine and VA Connecticut Healthcare System), Mary E Tinetti (0000-0003-0940-9702, Yale School of Medicine), Heather Allore (0000-0001-7685-8175, Yale University), Heather G Allore (Yale School of Medicine)
Año2008
Volumen20
Número6
Páginas694-709
Fecha de publicación2008-07-15
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Aging and Health (JOURNAL)
Identificadores de la revistaISSN: 1552-6887 • E-ISSN: 0898-2643
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/0898264308321006
PMID18625759
PMCIDPMC3477770
OpenAlexW2154844428
IdiomaEN
Citas recibidas2
Referencias citadas28

The framework proposed provides a simple method for considering the trade-offs involved in prescribing multiple medications. It can be adapted to include additional parameters representing severity of condition, prioritization of outcomes, patient preferences, dosages, and medication interactions. Inconsistent reporting in the medical literature of data about benefits and harms of medications, dosages, and interactions constitutes its primary limitation

Actuarial science · Business · Context (archaeology · Dose · Economics · Machine learning · Management science · Prioritization · Risk analysis (engineering · Value (mathematics · Yield (engineering · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Medication Adherence and Compliance · Medicine · Pharmaceutical Practices and Patient Outcomes · Pharmacology