ArticleBMJ open2019
Clinical observations and a ealthcare ailure ode and ffect nalysis to identify vulnerabilities in the security and accounting of medications in Ontario hospitals: a study protocol.
Article in BMJ open, 2019. 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 4 papers.
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
4 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis.Exploratory research in clinical and social pharmacy · 2024Article
- Establishing a Multisectoral Collaborative Drug Diversion Program in a Canadian Health System.The Canadian journal of hospital pharmacy · 2024Article
- Teaching Medical Students Health Care Failure Mode and Effect Analysis: A Case Study of Inpatient Pain Management Computerized Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
Corrections and comments
- Erratum issuedCorrection:2019
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAn increasing number of opioids and other controlled substances are being stolen from healthcare facilities, diverting medications from their intended medical use to be used or sold illicitly. Many incidents of medication loss from Canadian hospitals are reported as unexplained losses. Together, this suggests not only that vulnerabilities for diversion exist within current medication-use processes (MUPs), but that hospitals lack robust mechanisms to accurately track and account for discrepancies and loss in inventory. There is a paucity of primary research investigating vulnerabilities in the security and accounting of medications across hospital processes. The purpose of this study is to map hospital MUPs, systematically identify risks for diversion or unintentional loss and proactively assess opportunities for improvements to medication accounting and security. METHODS AND ANALYSIS: We will conduct human factors-informed clinical observations and a Healthcare Failure Mode and Effect Analysis (HFMEA). We will observe hospital personnel in the intensive care unit, emergency department and inpatient pharmacy in two hospitals in Ontario, Canada. Observations will capture how participants complete tasks, as well as gather contextual information about the environment, technologies and processes. A multidisciplinary team will complete an HFMEA to map process flow diagrams for the MUPs in the observed clinical units, identify and prioritise potential methods of medication loss (failure modes) and describe mechanisms or actions to prevent, detect and trace medication loss. ETHICS AND DISSEMINATION: We received province-wide research ethics approval via Clinical Trials Ontario Streamlined Research Review System, and site-specific approvals from each participating hospital. The results from this study will be presented at conferences and meetings, as well as published in peer-reviewed journals. The findings will be shared with hospitals; professional, regulatory and accreditation organisations; patient safety and healthcare quality organisations and equipment and drug manufacturers.
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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.