Evidence map›Paper›PMID 30698165›Full record

Observational studyRevista espanola de salud publica2019

[Errors of prescription, transcription and administration according to pharmacological group at hospital].

Ana Belén Jiménez Muñoz, Belén Martínez Mondéjar, Antonio Muiño Miguez, Dulce Romero Ayuso, Gema Maria Saiz Ladera, Juan José Criado Álvarez

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Revista espanola de salud publica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Prediction of Prednisolone Dose Correction Using Machine Learning.Journal of healthcare informatics research · 2023
    Article
  3. 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

6 authors at 1 institution in 1 country.

Ana Belén Jiménez MuñozServicio de Medicina Preventiva. Hospital Universitario Severo Ochoa. Leganés. Madrid. España.
Belén Martínez MondéjarServicio de Medicina Preventiva. Hospital Universitario Severo Ochoa. Leganés. Madrid. España.
Antonio Muiño MiguezServicio de Medicina Interna. Hospital General Universitario Gregorio Marañón. Madrid. España.
Dulce Romero AyusoDepartamento de Fisioterapia. Terapia Ocupacional. Facultad de Ciencias de la Salud. Universidad de Granada. España.
Gema Maria Saiz LaderaServicio de Medicina Preventiva. Hospital Universitario Severo Ochoa. Leganés. Madrid. España.
Juan José Criado ÁlvarezGerencia de atención Integrada de Talavera de la Reina (SESCAM). Toledo. España.
Hospital General Universitario Gregorio Marañón · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMost studies of medication errors are focused only on finding global prevalence by patients, by phases or according to a certain group of medication. It's just a partial view of the problem. To analyze and compare the prevalence of errors in prescription, transcription and administration, and their clinical repercussions in different pharmacological groups in a third-level hospital.

methodsProspective inclusion study with direct observation disguised as medication administration and comparison with prescriptions and transcriptions at history clinical. The ME and its clinical effects were classified by expert consensus. We calculated the different error rates and their repercussions with their confidence intervals at 95%. Then we compared using Chi-square tests.

resultsWe studied 5,578 prescribed drugs and we observed the administration of 1,879 doses. A total of 117 different pharmacological groups were found, although 50.1% of the prescriptions belonged to only 9 types. We found heparins had a lower prevalence of errors in prescription and transcription and aspirin also had a lower prevalence of prescription errors. On the opposite side, a greater number of errors were obtained in transcription of Paracetamol, Metamizole and Laxatives and a prevalence of errors in the administration phase superior to rest in Paracetamol and in Proton Pump Inhibitors. The impact of medication error increased as medication process progressed, being similar between groups in prescription. In transcription, Heparins and Corticosteroids presented more serious errors. In administration, medication error are more serious for Diuretics and Statins (p <0.05).

conclusionsDrugs considered potentially dangerous present fewer errors (Heparins, Corticoids), but more serious. Drugs with the highest prevalence of errors were Paracetamol and Inhibitors of proton pump but had a lower impact.

Indexed as

Drug PrescriptionsHumansMedication ErrorsOutcome and Process Assessment, Health CareProspective StudiesSpainTertiary Care CentersAdministrationAdverse eventsMedication errorsPharmacological groupsPrescriptionSpainTranscription

Identifiers

PMID30698165
PMCPMC11567653
OpenAlexW3021144758

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.