Evidence map›Paper›PMID 31311587›Full record

ArticleBMC research notes2019

Medication prescribing errors among hospitalized pediatric patients at Nekemte Referral Hospital, western Ethiopia: cross-sectional study.

Ginenus Fekadu, Eba Abdisa, Korinan Fanta

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Ginenus FekaduClinical Pharmacy Unit, Department of Pharmacy, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia. take828pharm@gmail.com.ORCID http://orcid.org/0000-0002-4926-0685
Eba AbdisaDepartment of Psychiatry, School of Nursing and Midwifery, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Korinan FantaClinical Pharmacy Unit, School of Pharmacy, Institute of Health, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIncidence and clinical outcomes of medication prescribing errors are common and potentially more harmful in the pediatric population than in the adult population. Hence, this study was aimed to assess the prevalence and types of medication prescribing errors in the pediatric wards of Nekemte Referral Hospital (NRH).

resultsOf 384 pediatric patients included in the study, 241 (63%) were males and 116 (30.21%) of them were aged between 1-3 years. About 241 (62.76%) of the patients were treated based on empirical diagnosis and only 10 (2.60%) pediatrics had co-morbid disease. The most category of medication prescribing error was dosing error 251 (48.6%) followed by incorrect drug selection 98 (19.0%). Being critically ill (AOR = 5.31, 95% CI = 1.80-12.31, p = 0.003), route of administration via IV (AOR = 3.98, 95% CI = 1.85-11.15, p = 0.011) and via IV + IM route (AOR = 2.22, 95% CI = 1.05-9.25, p = 0.045) as well as 4-6 medications per patient (AOR = 3.10, 95% CI = 3.43-12.42, p = 0.012) and > 6 medications per patient (AOR = 7.23, 95% CI = 3.91-21.45, p < 0.001) were independent predictors of medication prescribing errors. Antibiotics were the most common classes of drugs responsible for prescribing errors.

Indexed as

ChildChild, PreschoolCross-Sectional StudiesDrug PrescriptionsDrug-Related Side Effects and Adverse ReactionsEthiopiaFemaleHospitalizationHumansInfantInfant, NewbornMaleMedication ErrorsPrevalenceReferral and ConsultationEthiopiaMedicationsNekemtePediatricsPrescribing error

Identifiers

PMID31311587
PMCPMC6636091

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.