Trial reportJournal of the American Geriatrics Society2011
Effect of a pharmacist-led multicomponent intervention focusing on the medication monitoring phase to prevent potential adverse drug events in nursing homes.
Trial report in Journal of the American Geriatrics Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 57 papers, 17 of them syntheses that pooled 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.
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.
Who cites it
57 citing papers in PubMed, 17 syntheses or guidelines pooled it, 127 citations in OpenAlex.
- Pooled it
- Interventions for preventing falls in older people in care facilities.The Cochrane database of systematic reviews · 2025Pooled it
- Pooled it
- The effectiveness and cost of integrating pharmacists within general practice to optimize prescribing and health outcomes in primary care patients with polypharmacy: a systematic review.BMC primary care · 2023Pooled it
- Medication reviews and deprescribing as a single intervention in falls prevention: a systematic review and meta-analysis.Age and ageing · 2022Pooled it
- Probing pharmacists' interventions in Long-Term Care: a systematic review.European geriatric medicine · 2021Pooled it
- Optimisation of medications used in residential aged care facilities: a systematic review and meta-analysis of randomised controlled trials.BMC geriatrics · 2020Pooled it
- Systematic review and narrative synthesis of pharmacist provided medicines optimisation services in care homes for older people to inform the development of a generic training or accreditation process.The International journal of pharmacy practice · 2020Pooled it
- Non-pharmacological approaches in the prevention of delirium.European geriatric medicine · 2020Pooled it
- Interventions for preventing delirium in older people in institutional long-term care.The Cochrane database of systematic reviews · 2019Pooled it
- Interventions for preventing falls in older people in care facilities and hospitals.The Cochrane database of systematic reviews · 2018Pooled it
- Interventions to improve the appropriate use of polypharmacy for older people.The Cochrane database of systematic reviews · 2018Pooled it
- Professional, structural and organisational interventions in primary care for reducing medication errors.The Cochrane database of systematic reviews · 2017Pooled it
- A systematic review of the outcomes reported in trials of medication review in older patients: the need for a core outcome set.British journal of clinical pharmacology · 2017Pooled it
- Interventions to optimise prescribing for older people in care homes.The Cochrane database of systematic reviews · 2016Pooled it
- Pooled it
- Medication reviews for nursing home residents to reduce mortality and hospitalization: systematic review and meta-analysis.British journal of clinical pharmacology · 2014Pooled it
- Electronic Decision Support for Deprescribing in Older Adults Living in Long-Term Care: A Stepped-Wedge Cluster Randomized Trial.JAMA network open · 2025Trial
- Pharmacist-Led Management Model and Medication Adherence Among Patients With Chronic Heart Failure: A Randomized Clinical Trial.JAMA network open · 2024Trial
- Trial
Corrections and comments
- Erratum issuedCorrigendum.2020
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
objectivesTo determine the extent to which the use of a clinical informatics tool that implements prospective monitoring plans reduces the incidence of potential delirium, falls, hospitalizations potentially due to adverse drug events, and mortality.
designRandomized cluster trial.
settingTwenty-five nursing homes serviced by two long-term care pharmacies.
participantsResidents living in nursing homes during 2003 (1,711 in 12 intervention; 1,491 in 13 usual care) and 2004 (1,769 in 12 intervention; 1,552 in 13 usual care).
interventionThe pharmacy automatically generated Geriatric Risk Assessment MedGuide (GRAM) reports and automated monitoring plans for falls and delirium within 24 hours of admission or as part of the normal time frame of federally mandated drug regimen review. MEASUREMENTS: Incidence of potential delirium, falls, hospitalizations potentially due to adverse drug events, and mortality.
resultsGRAM triggered monitoring plans for 491 residents. Newly admitted residents in the intervention homes experienced a lower rate of potential delirium onset than those in usual care homes (adjusted hazard ratio (HR)=0.42, 95% confidence interval (CI)=0.35-0.52), overall hospitalization (adjusted HR=0.89, 95% CI=0.72-1.09), and mortality (adjusted HR=0.88, 95% CI=0.66-1.16). In longer stay residents, the effects of the intervention were attenuated, and all estimates included unity.
conclusionUsing health information technology in long-term care pharmacies to identify residents who might benefit from the implementation of prospective medication monitoring care plans when complex medication regimens carry potential risks for falls and delirium may reduce adverse effects associated with appropriate medication use.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.