ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023
Developing a quality measure to assess use of antibiotic medications for respiratory conditions.
Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 5 citations in OpenAlex.
- Real-world evidence on antibiotic use among privately insured beneficiaries in Saudi Arabia: a retrospective analysis of claims data.BMJ open · 2026Article
- Implementing with intention: advantages, challenges, and tactics to optimally utilize the AXR metric.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- The relationship between antibiotic utilization for respiratory conditions (AXR) and antibiotic prescribing for pharyngitis.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Antibiotic Receipt for Pediatric Telemedicine Visits With Primary Care vs Direct-to-Consumer Vendors.JAMA network open · 2024Article
- Navigating performance measures for ambulatory antimicrobial stewardship: a review of HEDIS® and other metrics the steward should know.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024Review
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Antibiotics are essential medications for treating life-threatening infections. However, incorrect prescribing can lead to adverse events and contribute to antibiotic resistance. We sought to develop a utilization quality measure that could be used by health insurance plans to track overall prescribing for respiratory conditions. Design: A consensus-based process that included evidence review, testing, and stakeholder input was used to develop a measure and assess its usefulness for the Healthcare Effectiveness Data and Information Set (HEDIS), a national quality measurement tool. Methods: Guidelines and literature were reviewed to establish the rationale for the measure. The measure was tested in claims data for commercial, Medicaid and Medicare Advantage enrollees to assess feasibility of collecting and reporting needed information. The measure was vetted with multistakeholder advisory panels and posted for public comment to solicit wide input on relevance and usability. Results: Respiratory conditions are frequent reasons for outpatient care in the data assessed. On average, across all lines of business, the measure revealed that approximately one-third of outpatient visits for respiratory conditions are followed by antibiotics. Stakeholders supported the measure as a tool for monitoring antibiotic prescribing across health plans alongside existing measures that assess inappropriate prescribing for specific conditions. The final measure assesses the number of antibiotic prescriptions dispensed across all outpatient respiratory-related encounters at a health-plan level. Conclusions: The measure on antibiotic prescribing for respiratory conditions was relevant, feasible, and useful. Stakeholders strongly supported the newly developed measure and recommended its integration into HEDIS.
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.