Observational studyBMJ open2015
Assessing potentially inappropriate prescribing (PIP) and predicting patient outcomes in Ontario's older population: a population-based cohort study applying subsets of the STOPP/START and Beers' criteria in large health administrative databases.
Observational study in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02555891 (Assessing Potentially Inappropriate Prescribing), which is not on this map. Cited by 13 papers, 1 of them a synthesis 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.
Assessing Potentially Inappropriate Prescribing (PIP) and Predicting Patient Outcomes in Ontario's Elderly Population Using the Modified STOPP Criteria in Large Administrative Health Databases (the PIP-STOPP Study)
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Medicines Related Problems (MRPs) Originating in Primary Care Settings in Older Adults - A Systematic Review.Journal of pharmacy practice · 2023Pooled it
- Potentially Inappropriate Prescribing to Older Patients Admitted to Units for Integrated Continuous Care: Application of STOPP/START Criteria.Journal of clinical medicine · 2025Article
- Effect of Medication Management at Home via Pharmacist-Led Home Televisits: Protocol for a Cluster Randomized Controlled Trial.JMIR research protocols · 2025Article
- Potentially Inappropriate Use of Medication and Its Determinants Among Ambulatory Older Adults in Six Community Chain Pharmacies in Asmara, Eritrea: A Cross-Sectional Study Using the 2023 American Geriatric Society Beers CriteriaClinical interventions in aging · 2024Article
- Article
- The Health System Costs of Potentially Inappropriate Prescribing: A Population-Based, Retrospective Cohort Study Using Linked Health Administrative Databases in Ontario, Canada.PharmacoEconomics - open · 2020Article
- Potentially Inappropriate Prescriptions in Ambulatory Elderly Patients Living in Rural Areas of Romania Using STOPP/START (Version 2) Criteria.Clinical interventions in aging · 2020Article
- Potentially inappropriate medication and attitudes of older adults towards deprescribing.PloS one · 2020Article
- Article
- Health system costs of potentially inappropriate prescribing in Ontario, Canada: a protocol for a population-based cohort study.BMJ open · 2018Article
- Demographic and Socioeconomic Characteristics of Outpatients Could Modify Their Attitude Towards Misusing Medications in Northern Jordan.Journal of public health research · 2017Article
- Too many, too few, or too unsafe? Impact of inappropriate prescribing on mortality, and hospitalization in a cohort of community-dwelling oldest old.British journal of clinical pharmacology · 2016Article
- Quality of pharmacotherapy in old age: focus on lists of Potentially Inappropriate Medications (PIMs) : Consensus statements from the European Science Foundation exploratory workshop.European journal of clinical pharmacology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 7 institutions in 3 countries.
Funding
Abstract
introductionAdverse drug events (ADEs) are common in older people and contribute significantly to emergency department (ED) visits, unplanned hospitalisations, healthcare costs, morbidity and mortality. Many ADEs are avoidable if attention is directed towards identifying and preventing inappropriate drug use and undesirable drug combinations. Tools exist to identify potentially inappropriate prescribing (PIP) in clinical settings, but they are underused. Applying PIP assessment tools to population-wide health administrative data could provide an opportunity to assess the impact of PIP on individual patients as well as on the healthcare system. This would open new possibilities for interventions to monitor and optimise medication management on a broader, population-level scale. METHODS AND ANALYSIS: The aim of this study is to describe the occurrence of PIP in Ontario's older population (aged 65 years and older), and to assess the health outcomes and health system costs associated with PIP-more specifically, the association between PIP and the occurrence of ED visits, hospitalisations and death, and their related costs. This will be done within the framework of a population-based retrospective cohort study using Ontario's large health administrative and population databases. Eligible patients aged 66 years and older who were issued at least 1 prescription between 1 April 2003 and 31 March 2014 (approximately 2 million patients) will be included. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Ottawa Health Services Network Ethical Review Board and from the Bruyère Research Institute Ethics Review Board. Dissemination will occur via publication, presentation at national and international conferences, and ongoing exchanges with regional, provincial and national stakeholders, including the Ontario Drug Policy Research Network and the Ontario Ministry of Health and Long-Term Care. TRIAL REGISTRATION NUMBER: Registered with clinicaltrials.gov (registration number: NCT02555891).
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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.