Evidence map›Paper›PMID 26690854›Full record

ArticleDrugs - real world outcomes

Drug Utilisation Patterns in Children Admitted to a Paediatric General Medical Ward in Five Countries.

Asia N Rashed, Ian C K Wong, Lynda Wilton, Stephen Tomlin, Antje Neubert

Abstract read
In one paragraph

Article in Drugs - real world outcomes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
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  4. Observational
  5. Article
  6. Article
  7. Medications for Children Receiving Intensive Care: A National Sample.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    Article
  8. Observational
  9. Article
  10. Article
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  12. Observational
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.

Asia N RashedInstitute of Pharmaceutical Science, King's College London, King's Health Partners, 150 Stamford Street, London, SE1 9NH UK ; Pharmacy Department, Evelina London Children's Hospital, Guy's and St. Thomas' NHS Foundation Trust, King's Health Partners, Westminster Bridge Road, London, SE1 7EH UK.
Ian C K WongDepartment of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China ; UCL School of Pharmacy, London, UK.
Lynda WiltonUCL School of Pharmacy, London, UK.
Stephen TomlinInstitute of Pharmaceutical Science, King's College London, King's Health Partners, 150 Stamford Street, London, SE1 9NH UK ; Pharmacy Department, Evelina London Children's Hospital, Guy's and St. Thomas' NHS Foundation Trust, King's Health Partners, Westminster Bridge Road, London, SE1 7EH UK.
Antje NeubertDepartment of Paediatric and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate and compare drug prescription patterns in children admitted to a paediatric general medical ward in five countries.

methodsA prospective cohort study conducted on paediatric medical wards in the UK, Germany, Australia, Hong Kong (HK) and Malaysia. Data were collected over 3 months in each country except in Australia (1 month). All medications prescribed were classified according to the WHO Anatomical Therapeutic Chemical (ATC) classification. For each drug, frequency of prescriptions and patient exposures were calculated for ATC anatomical and therapeutic levels overall and by country.

resultsOne thousand two hundred and seventy-eight patients were included (Australia 146, Germany 376, UK 313, HK 143 and Malaysia 300); 89.2 % of patients (1140) received medications, median 3 (interquartile range 2-5) drugs per patient. 5367 drugs were prescribed. The most frequently prescribed therapeutic groups in all countries were: systemic antibacterials (1355; 25.2 %), analgesics/non-steroidal anti-inflammatory drugs (NSAIDs) (1173; 21.8 %) and drugs for obstructive airway diseases (472; 8.8 %). Overall, 65.1 % (742) of patients received at least one systemic antibacterial, 63.7 % (726) received one or more analgesic/NSAIDs, and 23.6 % (269) received 'drugs for obstructive airway diseases'. The number of patients exposed to these groups differed significantly between countries (

conclusionThis study provides an overview of drug use patterns in five culturally and ethnically diverse countries. The most frequently used therapeutic groups were similar, but the proportion of patients treated differed between countries. Also within a therapeutic group the specific drug used varied between countries.

Identifiers

PMID26690854
PMCPMC4674526

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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.