ArticleInternational journal of clinical pharmacy2019
Pharmacist-led pre-treatment assessment, management and outcomes in a Hepatitis C treatment patient cohort.
Article in International journal of clinical pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Medication Reconciliation Service in Hospitalized Patients with Infectious Diseases During Coronavirus Disease-2019 Pandemic: An Observational Study.Turkish journal of pharmaceutical sciences · 2023Article
- Drug-drug interactions between direct-acting antivirals and co-medications: a territory-wide cohort study.Hepatology international · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Medication reconciliation and drug-drug interaction management represent important patient safety processes completed by pharmacists as part of Hepatitis C patient care. Objectives To describe the pharmacist-led interventions of medication reconciliation and drug-drug interaction assessment, grading and management in a real-world Hepatitis C treatment cohort and to assesses the impact on patient outcomes. Setting Two Hepatitis C hospital outpatient clinics at St. James's Hospital, Dublin. Method Patients treated with Hepatitis C direct acting anti-viral agents between December 2014 and February 2017 were included in this retrospective cohort study. The study employed a standardised medication reconciliation proforma and drug-drug interaction reference list. Main outcome measures Analyse medication variances identified during pharmacist-led medication reconciliation. Assess the prevalence, type and severity of drug-drug interactions between direct acting anti-virals and co-medications. Assess the rate of prescriber acceptance of the pharmacist-developed drug-drug interaction management strategies. Results Among the 300 patients in this study, medication reconciliation identified 1543 co-medications, with 71% of patients prescribed co-medications which were subject to a potential drug-drug interaction. Drug-drug interaction assessments assigned a rating of severe to 68 interaction episodes. At least one co-medication was stopped during treatment in 25% of patients to facilitate drug-drug interaction management. Pharmacist proposed management recommendations were accepted by prescribers in 96.9% of cases. The sustained virological response rate among the cohort was 92.7%. Conclusions In this Hepatitis C pre-treatment pharmacist assessment analysis, a significant number of medication reconciliation variances and clinically significant drug-drug interactions were identified which present unique and important patient safety risks. Pharmacist-led management strategies aided the achievement of optimum treatment response while promoting patient safety and antiviral stewardship.
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.