Trial reportApplied clinical informatics2018
Evaluation of Multimedia Medication Reconciliation Software: A Randomized Controlled, Single-Blind Trial to Measure Diagnostic Accuracy for Discrepancy Detection.
Trial report in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02135731 (APHID- Sensitivity and Specificity of a Medication Reconciliation Technology - A Primary Care Randomized Controlled Trial), which is not on this map. Cited by 7 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.
APHID- Sensitivity and Specificity of a Medication Reconciliation Technology - A Primary Care Randomized Controlled Trial
Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Best possible medication history interview guide: a rapid scoping review.BMJ open quality · 2026Article
- From MedWreck to MedRec: A Call to Action to Improve Medication Reconciliation.Applied clinical informatics · 2024Article
- Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities.Applied clinical informatics · 2023Article
- Interprofessional survey on medication reconciliation activities in the US Department of Veterans' Affairs: development and validation of an Implementation Readiness Questionnaire.BMJ open quality · 2022Article
- Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial.JMIR formative research · 2022Article
- Medication Reconciliation: The Foundation of Medication Safety for Patients Requiring Dialysis.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020Review
- Quality Initiative Using Theory of Change and Visual Analytics to Improve Controlled Substance Documentation Discrepancies in the Operating Room.Applied clinical informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Veterans Affairs Portland Healthcare System developed a medication history collection software that displays prescription names and medication images.
objectiveThis article measures the frequency of medication discrepancy reporting using the medication history collection software and compares with the frequency of reporting using a paper-based process. This article also determines the accuracy of each method by comparing both strategies to a best possible medication history. STUDY
designRandomized, controlled, single-blind trial.
settingThree community-based primary care clinics associated with the Veterans Affairs Portland Healthcare System: a 300-bed teaching facility and ambulatory care network serving Veteran soldiers in the Pacific Northwest United States.
participantsOf 212 patients with primary care appointments, 209 patients fulfilled the study requirements.
interventionPatients randomized to a software-directed medication history or a paper-based medication history. Randomization and allocation to treatment groups were performed using a computer-based random number generator. Assignments were placed in a sealed envelope and opened after participant consent. The research coordinator did not know or have access to the treatment assignment until the time of presentation.
main outcome measuresThe primary analysis compared the discrepancy detection rates between groups with respect to the health record and a best possible medication history.
resultsOf 3,500 medications reviewed, we detected 1,435 discrepancies. Forty-six percent of those discrepancies were potentially high risk for causing an adverse drug event. There was no difference in detection rates between treatment arms. Software sensitivity was 83% and specificity was 91%; paper sensitivity was 81% and specificity was 94%. No participants were lost to follow-up.
conclusionThe medication history collection software is an efficient and scalable method for gathering a medication history and detecting high-risk discrepancies. Although it included medication images, the technology did not improve accuracy over a paper list when compared with a best possible medication history.
trial registrationClinicalTrials.gov Identifier: NCT02135731.
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.