OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly
Description: Most older adults have multiple chronic diseases (multimorbidity) and multiple medications (polypharmacy).
However, multimorbid patients are often excluded from clinical trials and most guidelines address diseases in
isolation. Inappropriate drug prescription and poor drug compliance are common and contribute to up to 30% of
hospital admissions. OPERAM investigators developed STOPP/START criteria to detect inappropriate drug use,
both over- and underuse. Applying these criteria limits unnecessary polypharmacy and reduces underuse of indicated
medications, but it remains uncertain whether systematic pharmacotherapy optimisation can improve clinical
outcomes and reduce costs.We propose a multicentre randomised controlled trial to assess the impact of a userfriendly
software-assisted intervention to optimise pharmacotherapy and to enhance compliance in 1900 multimorbid
patients aged ≥75 years. Outcomes will include drug-related hospital admissions, health care utilisation, quality of life,
patient preferences and cost-effectiveness. We will also perform several network meta-analyses (NMA) to provide
new comparative evidence on the most effective and safest pharmacological and non-pharmacological interventions
to reduce common causes of preventable hospital admissions (e.g. falls, fractures, bleeding). Therapy optimisation in
the multimorbid elderly, enhanced compliance and discontinuation of less effective interventions have the potential
to improve clinical, quality of life and safety outcomes, while reducing costs. We will provide a structured method
with practical software solutions for optimal prescribing and new comparative evidence from NMAs for addressing
multimorbidity and polypharmacy by means of customised, patient-centred guidelines. OPERAM ultimately aims
at better healthcare delivery in primary and hospital care, based on effective, safe, personalised and cost-effective
interventions that can be applied to the rapidly growing older population in Europe.
Funder: European Commission
Amount: €3,736,000
Funding type: research
Funder scheme: H2020 - RIA
Start date: 2015-05-01
End date: 2020-04-30
Institution: UNIVERSITAET BERN
Funded outputs count: 25
Funder award ID: 634238
OpenAlex ID: G102177791