Evidence map›Paper›PMID 31937652›Full record

Observational studyBMJ open2020

Application of a Common Data Model (CDM) to rank the paediatric user and prescription prevalence of 15 different drug classes in South Korea, Hong Kong, Taiwan, Japan and Australia: an observational, descriptive study.

Ruth Brauer, Ian Chi Kei Wong, Kenneth Kc Man, Nicole L Pratt, Rae Woong Park, Soo-Yeon Cho, Yu-Chuan Jack Li, Usman Iqbal, Phung-Anh Alex Nguyen, Martijn Schuemie

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

10 authors.

Ruth BrauerResearch Department of Practice and Policy, School of Pharmacy, University College London, London, UK.ORCID 0000-0001-8934-347X
Ian Chi Kei WongResearch Department of Practice and Policy, School of Pharmacy, University College London, London, UK i.wong@ucl.ac.uk.
Kenneth Kc ManResearch Department of Practice and Policy, School of Pharmacy, University College London, London, UK.ORCID 0000-0001-8645-1942
Nicole L PrattQuality Use of Medicines and Pharmacy Research Centre, University of South Australia, Adelaide, South Australia, Australia.
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
Soo-Yeon ChoDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
Yu-Chuan Jack LiGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taiwan Medical University, Taipei, Taiwan.
Usman IqbalThe International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.
Phung-Anh Alex NguyenThe International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.
Martijn SchuemieEpidemiology Analytics, Janssen Research and Development, Titusville, New Jersey, USA.ORCID 0000-0002-0817-5361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo measure the paediatric user and prescription prevalence in inpatient and ambulatory settings in South Korea, Hong Kong, Taiwan, Japan and Australia by age and gender. A further objective was to list the most commonly used drugs per drug class, per country. DESIGN AND

settingHospital inpatient and insurance paediatric healthcare data from the following databases were used to conduct this descriptive drug utilisation study: (i) the South Korean Ajou University School of Medicine database; (ii) the Hong Kong Clinical Data Analysis and Reporting System; (iii) the Japan Medical Data Center; (iv) Taiwan's National Health Insurance Research Database and (v) the Australian Pharmaceutical Benefits Scheme. Country-specific data were transformed into the Observational Medical Outcomes Partnership Common Data Model. PATIENTS: Children (≤18 years) with at least 1 day of observation in any of the respective databases from January 2009 until December 2013 were included.

main outcome measuresFor each drug class, we assessed the per-protocol overall user and prescription prevalence rates (per 1000 persons) per country and setting.

resultsOur study population comprised 1 574 524 children (52.9% male). The highest proportion of dispensings was recorded in the youngest age category (<2 years) for inpatients (45.1%) with a relatively high user prevalence of analgesics and antibiotics. Adrenergics, antihistamines, mucolytics and corticosteroids were used in 10%-15% of patients. For ambulatory patients, the highest proportion of dispensings was recorded in the middle age category (2-11 years, 67.1%) with antibiotics the most dispensed drug overall.

conclusionsCountry-specific paediatric drug utilisation patterns were described, ranked and compared between four East Asian countries and Australia. The widespread use of mucolytics in East Asia warrants further investigation.

Indexed as

Drug UtilizationAdolescentAge FactorsAustraliaChildChild, PreschoolFemaleHong KongHumansJapanMalePharmaceutical PreparationsPrescriptionsPrevalenceRepublic of KoreaSocioeconomic FactorsPharmaceutical Preparationsclinical pharmacologyepidemiologypaediatrics

Identifiers

PMID31937652
PMCPMC7044847

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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.