ArticleJournal of the American Medical Informatics Association : JAMIA
Practitioners' views on computerized drug-drug interaction alerts in the VA system.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 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
37 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Drug-drug interactions and their harmful effects in hospitalised patients: a systematic review and meta-analysis.European journal of clinical pharmacology · 2018Pooled it
- Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records.BMC medical informatics and decision making · 2013Pooled it
- Computerized clinical decision support for prescribing: provision does not guarantee uptake.Journal of the American Medical Informatics Association : JAMIAPooled it
- Factors Influencing Health Care Professionals' Perceptions of Frequent Drug-Drug Interaction Alerts.ACI open · 2024Article
- An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals.NPJ digital medicine · 2023Review
- Clinician collaboration to improve clinical decision support: the Clickbusters initiative.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication-Related Clinical Decision Support System: Model Development and Validation.JMIR medical informatics · 2020Article
- The Effect of Eliminating Intermediate Severity Drug-Drug Interaction Alerts on Overall Medication Alert Burden and Acceptance Rate.Applied clinical informatics · 2019Article
- A survey of attitudes, practices, and knowledge regarding drug-drug interactions among medical residents in Iran.International journal of clinical pharmacy · 2017Article
- An evaluation of the completeness of drug-drug interaction-related information in package inserts.European journal of clinical pharmacology · 2017Article
- Alert dwell time: introduction of a measure to evaluate interruptive clinical decision support alerts.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Computerized techniques pave the way for drug-drug interaction prediction and interpretation.BioImpacts : BI · 2016Review
- Recommendations to improve the usability of drug-drug interaction clinical decision support alerts.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- The effectiveness and limitations of regulatory warnings for the safe prescribing of citalopram.Drug, healthcare and patient safety · 2015Article
- Clinical decision support alert appropriateness: a review and proposal for improvement.Ochsner journal · 2014Review
- Medical alert management: a real-time adaptive decision support tool to reduce alert fatigue.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- Assessment of the consistency among three drug compendia in listing and ranking of drug-drug interactions.Bosnian journal of basic medical sciences · 2013Article
- On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop.BMC medical informatics and decision making · 2013Article
- Evaluation of a drug-drug interaction: fax alert intervention program.BMC medical informatics and decision making · 2013Article
- Identification and weighting of the most critical "real-life" drug-drug interactions with acenocoumarol in a tertiary care hospital.European journal of clinical pharmacology · 2013Article
Corrections and comments
- Commented on by
Authors and funding
10 authors.
Funding
Abstract
objectivesTo assess Veterans Affairs (VA) prescribers' and pharmacists' opinions about computer-generated drug-drug interaction (DDI) alerts and obtain suggestions for improving DDI alerts.
designA mail survey of 725 prescribers and 142 pharmacists from seven VA medical centers across the United States. MEASUREMENTS: A questionnaire asked respondents about their sources of drug and DDI information, satisfaction with the combined inpatient and outpatient computerized prescriber order entry (CPOE) system, attitude toward DDI alerts, and suggestions for improving DDI alerts.
resultsThe overall response rate was 40% (prescribers: 36%; pharmacists: 59%). Both prescribers and pharmacists indicated that the CPOE system had a neutral to positive impact on their jobs. DDI alerts were not viewed as a waste of time and the majority (61%) of prescribers felt that DDI alerts had increased their potential to prescribe safely. However, only 30% of prescribers felt DDI alerts provided them with what they needed most of the time. Both prescribers and pharmacists agreed that DDI alerts should be accompanied by management alternatives (73% and 82%, respectively) and more detailed information (65% and 89%, respectively). When asked about suggestions for improving DDI alerts, prescribers most preferred including management options whereas pharmacists most preferred making it more difficult to override lethal interactions. Prescribers and pharmacists reported primarily relying on electronic references for general drug information (62% and 55%, respectively) and DDI information (51% and 79%, respectively).
conclusionRespondents reported neutral to positive views regarding the effect of CPOE on their jobs. Their opinions suggest DDI alerts are useful but still require additional work to increase their clinical utility.
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.