Evidence map›Paper›PMID 26884392›Full record

ReviewDrugs & aging2016

Optimization of Geriatric Pharmacotherapy: Role of Multifaceted Cooperation in the Hospital Setting.

Mirko Petrovic, Annemie Somers, Graziano Onder

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs & aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mirko PetrovicDepartment of Geriatrics, Ghent University Hospital, De Pintelaan 185, Ghent, Belgium. mirko.petrovic@ugent.be.
Annemie SomersDepartment of Pharmacy, Ghent University Hospital, Ghent, Belgium.
Graziano OnderCentro Medicina dell'Invecchiamento, Department of Geriatrics, Policlinico A. Gemeli, Catholic University of the Sacred Heart, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because older patients are more vulnerable to adverse drug-related events, there is a need to ensure appropriate pharmacotherapy in these patients. This narrative review describes approaches to improve pharmacotherapy in older people in the hospital setting. Screening to identify older patients at risk of drug-related problems and adverse drug reactions (ADRs) is the first critical step within a multistep approach to geriatric pharmacotherapy. Two methods that have been developed are the GerontoNet ADR risk score and the Brighton Adverse Drug Reactions Risk (BADRI) model, which take into account a number of factors, the most important of which is the number of medicines. In order to reduce potentially inappropriate prescribing in older patients, different types of interventions exist, such as pharmacist-led medication reviews, educational interventions, computerized decision support systems, and comprehensive geriatric assessment. The effects of these interventions have been studied, sometimes in a multifaceted approach, by combining different techniques. None of the existing interventions shows a clear beneficial effect on patients' health outcomes if applied in isolation; however, when these interventions are combined within the context of a multidisciplinary team, positive effects on patients' health outcomes can be expected. Appropriate geriatric pharmacotherapy, global assessment of patients' clinical and functional parameters, and integration of skills from different healthcare professionals are needed to address medical complexity of older adults.

Indexed as

AgedDrug-Related Side Effects and Adverse ReactionsGeriatric AssessmentHospitalsHumansInappropriate PrescribingPharmacists

Identifiers

PMID26884392

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.