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To Rank the Paediatric User and Prescription Prevalence of 15 Open access Original research BMJ Open: first published as 10.1136/bmjopen-2019-032426 on 13 January 2020. Downloaded from 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 ,1 Ian Chi Kei Wong,1,2 Kenneth KC Man ,1,2 Nicole L Pratt,3 Rae Woong Park,4 Soo- Yeon Cho,4 Yu- Chuan (Jack) Li,5,6,7,8 Usman Iqbal,6,9,10 Phung- Anh Alex Nguyen,6 Martijn Schuemie 11,12 To cite: Brauer R, Wong ICK, ABSTRACT Strengths and limitations of this study Man KKC, et al. Application Objective To measure the paediatric user and prescription of a Common Data Model prevalence in inpatient and ambulatory settings in South (CDM) to rank the paediatric ► We conducted the largest Western Pacific paediat- Korea, Hong Kong, Taiwan, Japan and Australia by age and user and prescription ric drug utilisation study to date using a Common prevalence of 15 different gender. A further objective was to list the most commonly Data Model, which allowed us to rank the user and drug classes in South Korea, used drugs per drug class, per country. prescription prevalence of 15 different drug class- Hong Kong, Taiwan, Japan and Design and setting Hospital inpatient and insurance es in South Korea, Hong Kong, Taiwan, Japan and Australia: an observational, paediatric healthcare data from the following databases Australia. descriptive study. BMJ Open were used to conduct this descriptive drug utilisation ► Our comprehensive overview of country- specific 2020;10:e032426. doi:10.1136/ study: (i) the South Korean Ajou University School of pharmacological agents used in both an ambulatory bmjopen-2019-032426 Medicine database; (ii) the Hong Kong Clinical Data and inpatient setting, by gender and age, included ► Prepublication history and Analysis and Reporting System; (iii) the Japan Medical data of 1 574 524 children and identified important http://bmjopen.bmj.com/ additional material for this Data Center; (iv) Taiwan’s National Health Insurance differences in drug paediatric utilisation patterns. paper are available online. To Research Database and (v) the Australian Pharmaceutical ► Despite the differences in databases in terms of set- view these files, please visit Benefits Scheme. Country- specific data were transformed ting and study populations, we believe our overview the journal online (http:// dx. doi. into the Observational Medical Outcomes Partnership of prescription patterns and rankings is an important org/ 10. 1136/ bmjopen- 2019- Common Data Model. 032426). step to further investigate and facilitate the rational Patients Children (≤18 years) with at least 1 day of use of drugs in paediatric populations in East Asia Received 27 June 2019 observation in any of the respective databases from and Australia. Revised 03 December 2019 January 2009 until December 2013 were included. ► Over the counter prescribing in individual countries Accepted 04 December 2019 Main outcome measures For each drug class, we was not captured and we may have underestimated on September 25, 2021 by guest. Protected copyright. assessed the per- protocol overall user and prescription the true drug utilisation of agents, such as parac- prevalence rates (per 1000 persons) per country and etamol and some antihistamines. setting. ► We collected data until the end of 2013 and ac- Results Our study population comprised 1 574 524 knowledge that, due to the rapid change in paedi- children (52.9% male). The highest proportion of atric licensing of therapeutic agents, some of our dispensings was recorded in the youngest age category findings might be worthwhile replicating with more (<2 years) for inpatients (45.1%) with a relatively high current data. user prevalence of analgesics and antibiotics. Adrenergics, © Author(s) (or their antihistamines, mucolytics and corticosteroids were used employer(s)) 2020. Re- use in 10%–15% of patients. For ambulatory patients, the INTRODUCTION permitted under CC BY-NC. No commercial re- use. See rights highest proportion of dispensings was recorded in the An important step to facilitate the rational and permissions. Published by middle age category (2–11 years, 67.1%) with antibiotics use of drugs in paediatric populations is BMJ. the most dispensed drug overall. to investigate drug utilisation patterns.1 For numbered affiliations see Conclusions Country-specific paediatric drug utilisation Observational data in the form of electronic end of article. patterns were described, ranked and compared between health records (EHR) and insurance claims four East Asian countries and Australia. The widespread data, real- life data, have been used success- Correspondence to use of mucolytics in East Asia warrants further fully to investigate the use of drugs in chil- Professor Ian Chi Kei Wong; investigation. i. wong@ ucl. ac. uk dren.1–3 European studies on paediatric drug Brauer R, et al. BMJ Open 2020;10:e032426. doi:10.1136/bmjopen-2019-032426 1 Open access BMJ Open: first published as 10.1136/bmjopen-2019-032426 on 13 January 2020. Downloaded from utilisation patterns have shown that the most commonly hospitals and community pharmacies from July 2009 used drugs in European children include anti- infective, onwards. Australian data consist of national pharmacy respiratory and dermatological drugs and are largely claims data from the Australian Government Department prescribed off- label.3 While drug- specific paediatric drug of Human Services which provides information of medi- utilisation data from East Asian countries are available,4–6 cines subsidised and dispensed under the Pharmaceutical a comprehensive overview of the most commonly used Benefits Scheme. PBS data are collected from pharma- drugs is currently lacking. cies and private hospitals, and discharge or outpatient The Asian Pharmacoepidemiology Network, the first dispensing from public hospitals, but do not include multinational research network in Asia, in collabora- inpatient public hospital prescriptions. From Taiwan, we tion with the Observational Medical Outcome Partner- extracted reimbursement data from the Bureau National ship (OMOP) set up an initiative to convert domestic Health Insurance (NHI) system, which has registered all databases in Asian countries to a Common Data Model medical claims since 1995. More than 99% of the citizens (CDM) to offer a multinational research infrastructure of Taiwan are enrolled in the NHI, which offers manda- to facilitate studies.7 8 We used this network of observa- tory and comprehensive medical care coverage to all tional healthcare databases in South Korea, Hong Kong, Taiwanese residents. Taiwan, Japan and Australia to measure and compare the Information on specific indications of drug use was prevalence of drug prescribing in East Asian and Austra- not available in the datasets from Hong Kong, Taiwan lian children. Our primary aim was to measure the paedi- and Japan. Further details of each database have been atric user and prescription prevalence in inpatient and described elsewhere.13 ambulatory settings in the five aforementioned countries by age and gender. A further objective was to list the most Data collection commonly used drugs per drug class, per country, in both For this retrospective descriptive study, we identified chil- an inpatient and ambulatory setting. dren, 18 years or younger, with at least 1 day of obser- vation in any of the respective databases. The follow-up period for all children started in January 2009 or the start METHODS date of observation, whichever was last. Follow-up ended Data sources in December 2013, the last date observation or the date We conducted a drug utilisation study using paediatric a child turned 18, whichever was first. Specifically, obser- patient populations from the following databases: (i) vation time was defined as: 1) the start of the first visit Ajou University School of Medicine (AUSOM) from (inpatient, outpatient or emergency room) to the end South Korea; (ii) the Hong Kong Clinical Data Analysis of the last visit for the Korean AUSOM database; 2) the and Reporting System (CDARS); (iii) the Japan Medical date of birth until death in the Hong Kong CDARS data- Data Center (JMDC); (iv) Taiwan’s National Health Insur- base and 3) the insurance enrolment date in the Japan http://bmjopen.bmj.com/ ance Research Database (NHIRD) and (v) the Australian JMDC, Taiwan NHIRD and Australian PBS. Data were Pharmaceutical Benefits Scheme (PBS). All data were available from the end of 2009 onwards for the Japanese anonymised to protect patient confidentiality. JMDC and until December 2011 for the Taiwanese data- All five countries have universal healthcare systems and base (NHIRD). We used randomly selected samples from none of the databases include information on patients CDARS, NHIRD and PBS as only ~10% of the total data using private healthcare.7 The South Korean and Hong were made available for research. Kong databases, AUSOM and CDARS, collect and archive the EHR of hospital inpatients. Briefly, AUSOM is an EHR Data extraction on September 25, 2021 by guest. Protected copyright. database of a Korean teaching hospital providing both Data extraction, a population file with information on secondary and tertiary care, with 1096 patient beds and demographics and dispensing records, was performed 23 operating rooms with data for over 2 073 120 individ- through a shared analysis programme combining R uals, collected since 1994. By contrast,
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