ReviewJournal of clinical pharmacy and therapeutics2020
Interventions to deprescribe potentially inappropriate medications in the elderly: Lost in translation?
Review in Journal of clinical pharmacy and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06212713 (Development and Validation of a Health Behaviour Theory-based Questionnaire to Explore the Willingness of Older Adults and Informal Caregivers to Deprescribe), which is not on this map. Cited by 11 papers.
What it found
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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.
Development and Validation of a Health Behaviour Theory-based Questionnaire to Explore the Willingness of Older Adults and Informal Caregivers to Deprescribe
Who cites it
11 citing papers in PubMed.
- Evidence on interventions that target prescribing appropriateness in older adults attending the emergency department and other acute care settings: a scoping review.International journal of clinical pharmacy · 2026Article
- Mapping care trajectories for hospital-initiated benzodiazepine deprescribing in older adults: a multicentre qualitative study.BMC health services research · 2025Article
- Current Status and Research Trends in Deprescribing: A Bibliometric Review.Drug, healthcare and patient safety · 2025Review
- Enhancing medication management of older adults in Qatar: healthcare professionals' perspectives on challenges, barriers and enabling solutions.Therapeutic advances in drug safety · 2024Article
- Challenges and opportunities in creating a deprescribing program in the emergency department: A qualitative study.Journal of the American Geriatrics Society · 2023Article
- A pharmacist-led medication review service with a deprescribing focus guided by implementation science.Frontiers in pharmacology · 2023Article
- Use of the consolidated framework for implementation research in a mixed methods evaluation of the EQUIPPED medication safety program in four academic health system emergency departments.Frontiers in health services · 2022Article
- Development of video animations to encourage patient-driven deprescribing: A Team Alice Study.Patient education and counseling · 2021Article
- Medication Use Quality and Safety in Older Adults: 2019 Update.Journal of the American Geriatrics Society · 2021Review
- Drug-Drug Interactions and Prescription Appropriateness in Patients with COVID-19: A Retrospective Analysis from a Reference Hospital in Northern Italy.Drugs & aging · 2020Article
- Opportunities and Recommendations for Improving Medication Safety: Understanding the Medication Management System in Primary Care Through an Abstraction Hierarchy.JMIR human factors · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
WHAT IS KNOWN AND
objectiveUse of potentially inappropriate medications (PIMs) remains common in older adults, despite the easy availability of screening tools such as the Beers and Screening Tool of Older Person's Prescriptions (STOPP) criteria. Multiple published studies have implemented these screening tools to encourage deprescribing of PIMs, with mixed results. Little is known about the reasons behind the success or failure of these interventions, or what could be done to improve their impact. Implementation science (IS) provides a set of theories, models and frameworks to address these questions. The goal of this study was to conduct a focused narrative review of the deprescribing literature through an IS lens-to determine the extent to which implementation factors were identified and the intermediate steps in the intervention were measured. A better understanding of the existing literature, including its gaps, may provide a roadmap for future research.
methodsPubMed search from 2000-2019 using appropriate MeSH headings. INCLUSION CRITERIA: controlled trials or prospective cohort studies intended to reduce PIMs in the elderly that used hospitalizations and/or emergency department visits as outcome measures. Studies were reviewed to identify potential implementation factors (known as determinants), using the Consolidated Framework for Implementation Research (CFIR) as a guide. In addition, intermediate outcomes were extracted. RESULTS AND DISCUSSION: Of the 548 reviewed abstracts, 14 studies met the inclusion criteria and underwent detailed analysis. Of the 14 studies, 10 acknowledged potential implementation determinants that could be mapped onto CFIR. The most commonly identified determinant was the degree of pharmacist integration into the medical team (seven of 14 studies), which mapped onto the CFIR construct of 'networks and communication'. Several important CFIR constructs were absent in the reviewed literature. Intermediate measures were captured by 12 of the 14 reviewed papers, but the choice of measures was inconsistent across studies. WHAT IS NEW AND
conclusionIn recent high-quality studies of deprescribing interventions, we found limited acknowledgement of factors known to be important to successful implementation and inconsistent reporting of intermediate outcomes. These findings indicate missed opportunities to understand the factors underlying study outcomes. As a result, we run the risk of rejecting worthwhile interventions due to negative results, when the correct interpretation might be that they failed in implementation. In other words, they were 'lost in translation'. Studies that rigorously examine and report on the implementation process are needed to tease apart this important distinction.
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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.