ReviewCurrent epidemiology reports2022
Electronic Health Records and Antimicrobial Stewardship Research: a Narrative Review.
Review in Current epidemiology reports, 2022. 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, 17 citations in OpenAlex.
- Strategies and Recent Advances in Tackling Antibacterial Resistance in India: A Comprehensive Narrative Review.Cureus · 2025Review
- The Antimicrobial Resistance ofJournal of fungi (Basel, Switzerland) · 2025Article
- A systematic review on how primary care electronic medical record data have been used for antimicrobial stewardship.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Review
- 28 NICUs participating in a quality improvement collaborative targeting early-onset sepsis antibiotic use.Journal of perinatology : official journal of the California Perinatal Association · 2024Article
- The emergence of highly resistant and hypervirulent Klebsiella pneumoniae CC14 clone in a tertiary hospital over 8 years.Genome medicine · 2024Article
- Unveiling the dynamics of antimicrobial utilization and resistance in a large hospital network over five years: Insights from health record data analysis.PLOS digital health · 2023Article
- Machine learning applications on neonatal sepsis treatment: a scoping review.BMC infectious diseases · 2023Article
- Leveraging artificial intelligence to combat antimicrobial resistance in geriatric care.Digital healthArticle
- The association between social care expenditure and multiple-long term conditions: A population-based area-level analysis.Journal of multimorbidity and comorbidityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose of Review: This review summarises epidemiological research using electronic health records (EHR) for antimicrobial stewardship. Recent Findings: EHRs enable surveillance of antibiotic utilisation and infection consultations. Prescribing for respiratory tract infections has declined in the UK following reduced consultation rates. Reductions in prescribing for skin and urinary tract infections have been less marked. Drug selection has improved and use of broad-spectrum antimicrobics reduced. Diagnoses of pneumonia, sepsis and bacterial endocarditis have increased in primary care. Analytical studies have quantified risks of serious bacterial infections following reduced antibiotic prescribing. EHRs are increasingly used in interventional studies including point-of-care trials and cluster randomised trials of quality improvement. Analytical and interventional studies indicate patient groups for whom antibiotic utilisation may be more safely reduced. Summary: EHRs offer opportunities for surveillance and interventions that engage practitioners in the effects of improved prescribing practices, with the potential for better outcomes with targeted study designs.
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.