Assessing Multiple Medication Use With Probabilities of Benefits and Harms

Bibliographic Data

ID12797691
AuthorsTerrence E Murphy (0000-0002-9687-8998, Yale School of Medicine,, corresponding author), 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)
Year2008
Volume20
Issue6
Pages694-709
Publication date2008-07-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Aging and Health (JOURNAL)
Journal identifiersISSN: 1552-6887 • E-ISSN: 0898-2643
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0898264308321006
PMID18625759
PMCIDPMC3477770
OpenAlexW2154844428
LanguageEN
Citations received2
References cited28

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