Evidence map›Paper›PMID 28374341›Full record

Observational studyInternational journal of clinical pharmacy2017

The frequency and nature of medication errors in hospitalized patients with acute coronary syndrome.

Mostafa A Sayed Ali, Christina Milad Lobos, Mohamed Aboel-Kassem F Abdelmegid, Ahmed Moustafa El-Sayed

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International journal of clinical pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Therapies in ACS: the pitfalls of prescribing.Future healthcare journal · 2020
    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

4 authors.

Mostafa A Sayed AliDepartment of Clinical Pharmacy, Faculty of Pharmacy, Assiut University, Assiut, 71526, Egypt. mostafa.ali3@pharm.au.edu.eg.
Christina Milad LobosDepartment of Clinical Pharmacy, Faculty of Pharmacy, Assiut University, Assiut, 71526, Egypt.
Mohamed Aboel-Kassem F AbdelmegidDepartment of Cardiovascular Medicine, Faculty of Medicine, Assiut University, Assiut, Egypt.
Ahmed Moustafa El-SayedDepartment of Pharmaceutics, Faculty of Pharmacy, Assiut University, Assiut, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Cardiovascular medications have been commonly associated with medication errors. Objective The objective of this study was to investigate the incidence and predictors of medication errors in patients with acute coronary syndrome. Setting the coronary care unit of a university teaching hospital. Methods This was a prospective observational study on 150 patients admitted to the coronary care unit between August 2014 and July 2015. Main outcome measure The principal outcome was the number (frequency) of encountered medication errors. Results Of total 5790 prescription items reviewed, 547 (9.4%) potential medication errors were identified of which 523 (9.0%) were prescribing errors and 24 were monitoring errors. The most frequent prescribing errors were dosing errors (231, 42.2%) followed by loading dose omission error (91, 16.6%), omission of essential drugs on 1st day (43, 7.9%), and timing error (40, 7.3%). Errors frequently encountered with drugs such as aspirin, enoxaparin, beta-blockers followed by angiotensin-converting enzyme inhibitors and clopidogrel. Multivariate logistic regression analysis revealed that renal impairment (OR 6.02; 95% CI 1.4-35.4; p = 0.02) and longer duration of hospital stay (OR 4.01; 95% CI 1.5-10.7; p = 0.005) were predictors of the higher incidence of medication errors. Conclusion Prescribing and monitoring errors in coronary care unit are frequent and avoidable, with the majority of errors were ranked to be of mild to moderate severity. Dosing errors, omission of essential drugs and monitoring errors were most common error types encountered. Dosage adjustment based on estimation of the glomerular filtration rate immediately after admission help avoiding dosage-related errors.

Indexed as

Acute Coronary SyndromeAdultAgedAged, 80 and overCardiovascular AgentsCoronary Care UnitsDose-Response Relationship, DrugDrug MonitoringFemaleGlomerular Filtration RateHospitalizationHospitals, UniversityHumansIncidenceLength of StayLogistic ModelsCardiovascular AgentsAcute coronary syndromeCardiovascular drugsCoronary care unitEgyptMedication errors

Identifiers

What OpenQuestion holds

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Registered trials

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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.