ArticleMedical care2018
In Data We Trust? Comparison of Electronic Versus Manual Abstraction of Antimicrobial Prescribing Quality Metrics for Hospitalized Veterans With Pneumonia.
Article in Medical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 13 citations in OpenAlex.
- Electronic surveillance criteria for non-ventilator-associated hospital-acquired pneumonia: Assessment of reliability and validity.Infection control and hospital epidemiology · 2023Article
- Ultra-Short-Course Antibiotics for Suspected Pneumonia With Preserved Oxygenation.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Comparison of electronic versus manual abstraction for 2 standardized perinatal care measures.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries.Applied clinical informatics · 2021Review
- Simulated Adoption of 2019 Community-Acquired Pneumonia Guidelines Across 114 Veterans Affairs Medical Centers: Estimated Impact on Culturing and Antibiotic Selection in Hospitalized Patients.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- How Far We've Come, How Far We Have to Go: a Review of Advances in Antimicrobial Stewardship in the Veterans Health Administration.Current treatment options in infectious diseases · 2020Article
- E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review.Antibiotics (Basel, Switzerland) · 2020Review
- Empirical Anti-MRSA vs Standard Antibiotic Therapy and Risk of 30-Day Mortality in Patients Hospitalized for Pneumonia.JAMA internal medicine · 2020Article
- Antimicrobials in acute and long-term care: a point in time along the way to improved use.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundElectronic health records provide the opportunity to assess system-wide quality measures. Veterans Affairs Pharmacy Benefits Management Center for Medication Safety uses medication use evaluation (MUE) through manual review of the electronic health records.
objectiveTo compare an electronic MUE approach versus human/manual review for extraction of antibiotic use (choice and duration) and severity metrics. RESEARCH
designRetrospective. SUBJECTS: Hospitalizations for uncomplicated pneumonia occurring during 2013 at 30 Veterans Affairs facilities. MEASURES: We compared summary statistics, individual hospitalization-level agreement, facility-level consistency, and patterns of variation between electronic and manual MUE for initial severity, antibiotic choice, daily clinical stability, and antibiotic duration.
resultsAmong 2004 hospitalizations, electronic and manual abstraction methods showed high individual hospitalization-level agreement for initial severity measures (agreement=86%-98%, κ=0.5-0.82), antibiotic choice (agreement=89%-100%, κ=0.70-0.94), and facility-level consistency for empiric antibiotic choice (anti-MRSA r=0.97, P<0.001; antipseudomonal r=0.95, P<0.001) and therapy duration (r=0.77, P<0.001) but lower facility-level consistency for days to clinical stability (r=0.52, P=0.006) or excessive duration of therapy (r=0.55, P=0.005). Both methods identified widespread facility-level variation in antibiotic choice, but we found additional variation in manual estimation of excessive antibiotic duration and initial illness severity.
conclusionsElectronic and manual MUE agreed well for illness severity, antibiotic choice, and duration of therapy in pneumonia at both the individual and facility levels. Manual MUE showed additional reviewer-level variation in estimation of initial illness severity and excessive antibiotic use. Electronic MUE allows for reliable, scalable tracking of national patterns of antimicrobial use, enabling the examination of system-wide interventions to improve quality.
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.