Evidence map›Paper›PMID 31414004›Full record

ArticleJournal of patient-centered research and reviews2018

Using Clinical Decision Support Within the Electronic Health Record to Reduce Incorrect Prescribing for Acute Sinusitis.

Regina Ginzburg, Justin J Conway, Eve Waltermaurer, Wendy Song, Samantha P Jellinek-Cohen

Open access · diamondAbstract read
In one paragraph

Article in Journal of patient-centered research and reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Limiting Antibiotic Use in Acute Sinusitis: Partly a Matter of Vocabulary?Journal of patient-centered research and reviews · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Regina GinzburgSt. John's University, Queens, NY.
Justin J ConwayCrystal Run Healthcare, Newburgh, NY.
Eve WaltermaurerInstitute for Family Health, New York, NY.
Wendy SongBanner Health, Phoenix, AZ.
Samantha P Jellinek-CohenSt. John's University, Queens, NY.
St. John's University · USBanner Health · USInstitute for Family Health · USMount Sinai Beth Israel · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcute sinusitis has viral etiology in more than 90% of cases, but antibiotics are prescribed for more than 80% of adults in the United States. While applications of computer-assisted guidelines have been found effective in reducing inaccurate prescribing for acute respiratory infections, there is a paucity of research focused specifically on the utilization of electronic best practice alerts (BPA) in improving treatment for acute sinusitis.

methodsThis observational cohort study examined prescribing behavior for sinusitis at a single Federally Qualified Health Center 1 year prior and during the first year of implementation of a BPA in the electronic health record (EHR) reminding providers of the recommended treatment of sinusitis. The advisory included a link to national guidelines and a note template was installed to assist providers in documentation. The BPA appeared on the providers' screen when an ICD-9 code of acute or bacterial sinusitis was entered during the patient visit.

resultsAfter adjusting for select patient and provider factors, the computer-assisted guidelines effectively reduced the overall antibiotic prescribing among these patients by 31% (relative risk: 0.69, 95% confidence interval: 0.51-0.95) and reduced incorrect prescribing from 88.5% to 78.7% (P=0.02).

conclusionsClinical reminders within the EHR can be an effective tool to reduce inappropriate antibiotic use and improve providers' decisions regarding the correct antibiotic choices for patients with acute sinusitis.

Indexed as

antibiotic prescribingbest practice alertdecision supportelectronic health recordssinusitis

Identifiers

PMID31414004
PMCPMC6664326
OpenAlexW2885566966

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.