Evidence map›Paper›PMID 36514725›Full record

ArticleKidney3602022

In-Hospital Prescription Checking System for Hospitalized Patients with Decreased Glomerular Filtration Rate.

Akihiro Sonoda, Yuki Kondo, Yoshitaka Iwashita, Shoji Nakao, Kazuhisa Ishida, Tetsumi Irie, Yoichi Ishitsuka

Abstract read
In one paragraph

Article in Kidney360, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Akihiro SonodaDepartment of Pharmacy, Izumi Regional Medical Center, Akune, Japan.
Yuki KondoDepartment of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.ORCID 0000-0003-1456-7721
Yoshitaka IwashitaDepartment of Pharmacy, Izumi Regional Medical Center, Akune, Japan.
Shoji NakaoDepartment of Pharmacy, Izumi Regional Medical Center, Akune, Japan.
Kazuhisa IshidaDepartment of Pharmacy, Izumi Regional Medical Center, Akune, Japan.
Tetsumi IrieDepartment of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.ORCID 0000-0001-8664-7048
Yoichi IshitsukaDepartment of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.ORCID 0000-0001-9442-4469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical decision support systems (CDSS) are reported to be useful in preventing dosage errors in renally excreted drugs by alerting hospital pharmacists to inadequate dosages for hospitalized patients with decreased GFR. However, it is unclear whether CDSS can reduce dosage errors in renally excreted drugs in hospitalized patients. To prevent dosage errors in renally excreted drugs, we introduced a prescription checking system (PCS) for in-hospital prescriptions. This retrospective study aimed to evaluate whether a prescription audit by hospital pharmacists using the PCS reduced the rate of dosage errors in renally excreted drugs. Methods: The target drugs were allopurinol, cibenzoline, famotidine, and pilsicainide. Interrupted time series analysis was used to evaluate trends in the 4-weekly dosage error rates over 52 weeks before PCS implementation and 52 weeks after PCS implementation. Results: Before and after PCS implementation, 474 and 331 prescriptions containing one of the targeted drugs, respectively, were generated. The estimated baseline level of the 4-weekly dosage error rates was 34%. The trend before the PCS implementation was stable with no observable trend. The estimated level change from the last point in the pre-PCS implementation to the first point in the PCS implementation was -20% ( Conclusions: We demonstrated that a prescription audit by hospital pharmacists using the PCS reduced the rate of dosage errors in the target renally excreted drugs in hospitalized patients. Although further studies are needed to confirm whether our results can be generalized to other health facilities, our findings highlight the need for a PCS to prevent the overdose of renally excreted drugs.

Indexed as

Medication ErrorsPrescriptionsGlomerular Filtration RateHospitalsHumansRetrospective Studiesdecreased glomerular filtration ratedosage errors in renally excreted drugshospitalsnephro-pharmacologyprescription audit by hospital pharmacistsprescription check system

Identifiers

PMID36514725
PMCPMC9717669

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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.