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Balan S, Ibrahim N. Prevalence of potentially inappropriate prescriptions identified using screening tools in paediatric patients: a systematic review. Eur J Hosp Pharm 2024:ejhpharm-2024-004169. [PMID: 39632063 DOI: 10.1136/ejhpharm-2024-004169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 11/19/2024] [Indexed: 12/07/2024] Open
Abstract
OBJECTIVES Inappropriate prescriptions are known to cause medication-related problems, but little is known about the prevalence of this issue in paediatric patients. This systematic review provides an overview of the prevalence of potentially inappropriate prescriptions identified through tools developed for the paediatric population and delineates the strengths and limitations of the identification tools. METHODS Literature from PubMed, CINAHL, Cochrane database and Google Scholar was searched with a combination of medical subject headings (MeSH) and free-text terms related to inappropriate prescriptions, paediatrics and potentially inappropriate prescription tools. Studies reported in English and published from inception of the databases until May 2023 were selected based on fulfilment of eligibility criteria. All eligible articles were assessed for methodological quality and examined using thematic analysis. RESULTS Twelve studies met the inclusion criteria. The majority of the studies were of high quality. Four themes emerged-namely, evaluation tools and calculation methods of inappropriate prescriptions, prevalence of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), and predictors of PIM and PPO in children. Among the nine tools identified, the original and modified version of the POPI tool was most commonly used. The prevalence of PIM and PPO ranged from 0.04% to 69% and from 1.5% to 55.9%, respectively. Age was the most common predictor reported, whereby PIMs and PPOs were more likely in children aged 2-6 and 6-12 years, respectively. CONCLUSIONS Potentially inappropriate prescriptions in paediatric patients is highly prevalent, despite the wide variation in the reported prevalence range and limited implementation of the available tools in practice. Future efforts need to be focused on the development and implementation of age-, disease- or country-specific tools to effectively evaluate and further determine the economic impact of PIMs in children.
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Affiliation(s)
- Shamala Balan
- Pharmacy Department, Hospital Tengku Ampuan Rahimah, Klang, Malaysia
| | - Norkasihan Ibrahim
- Faculty of Pharmacy, Universiti Teknologi MARA, Puncak Alam, Selangor, Malaysia
- Center for Drug Policy and Health Economics Research (CDPHER), Universiti Teknologi MARA, Puncak Alam, Selangor, Malaysia
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Tou SI, Lin CL, Huang CY, Yen HR. Trends in Coprescription Among Taiwanese Children from 2002 to 2012. J Multidiscip Healthc 2023; 16:4307-4320. [PMID: 38169977 PMCID: PMC10759922 DOI: 10.2147/jmdh.s416892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 10/27/2023] [Indexed: 01/05/2024] Open
Abstract
Purpose Coprescription means that patients use different prescription medications at the same time, which can lead to polypharmacy and subsequent complications. In Taiwan, prescriptions can be ordered by Western physicians, traditional Chinese physicians and dentists. It is essential to disclose the trends in coprescription to prevent possible polypharmacy among children. Patients and Methods We used the Longitudinal Health Insurance Database 2000 in Taiwan. Children <18 years old who had coprescription from 2002 to 2012 are included. The odds ratio and 95% confidence interval are estimated by a logistic regression model to evaluate the correlation between basic characteristics and coprescription. Results A total of 44,801 children are included in the analysis. The numbers of children with coprescription and the numbers of coprescriptions ordered for children increased with calendar years. Children aged 3-5 year and 6-8 years constituted the majority of coprescriptions, while those aged <3 years constituted the minority of coprescriptions. Compared to those in the Western medication-alone group, aged 3-5 years and children who lived in central and southern Taiwan are more likely to have coprescription. Conclusion Coprescription among Taiwanese children is not uncommon. Healthcare providers, policymakers and parents should be aware of the real coprescription situation among the children.
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Affiliation(s)
- Sio-Ian Tou
- Department of Pediatrics, Chung Kang Branch, Cheng-Ching General Hospital, Taichung, Taiwan
| | - Cheng-Li Lin
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
- College of Medicine, China Medical University, Taichung, Taiwan
| | - Chia-Yu Huang
- Department of Family Medicine, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan
- Graduate Institute of Chinese Medicine, School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Hung-Rong Yen
- Graduate Institute of Chinese Medicine, School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
- International Master Program in Acupuncture, College of Chinese Medicine, China Medical University, Taichung, Taiwan
- Department of Chinese Medicine, China Medical University Hospital, Taichung, Taiwan
- Research Center for Traditional Chinese Medicine, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
- Chinese Medicine Research Center, China Medical University, Taichung, Taiwan
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Jasper EA, Holley SE, Jones SH, Liu M, Israel T, Van Driest SL, Velez Edwards DR. Tutorial: Using Community Engagement Studios to Enhance Pharmacogenetic Study Design for Maximizing Enrollment of Diverse Children and Pregnant People. Clin Pharmacol Ther 2023; 113:607-614. [PMID: 36366911 PMCID: PMC9957793 DOI: 10.1002/cpt.2792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/01/2022] [Indexed: 11/13/2022]
Abstract
Most pharmacogenetic research is conducted in adult, non-pregnant populations of European ancestry. Study of more diverse and special populations is necessary to validate findings and improve health equity. However, there are significant barriers to recruitment of diverse populations for genetic studies, such as mistrust of researchers due to a history of unethical research and ongoing social inequities. Engaging communities and understanding community members' perspectives may help to overcome these barriers and improve research quality. Here, we highlight one method for engaging communities, the Community Engagement Studio (CES), a consultative session that allows researchers to obtain guidance and feedback based on community members' lived experiences. We also provide an example of its use in pharmacogenetic studies. In designing a survey study of knowledge and attitudes around pharmacogenetic testing among children with chronic conditions and pregnant individuals, we sought input from diverse community stakeholders through CESs at Vanderbilt University Medical Center. We participated in two CESs with community stakeholders representing study target populations. Our goals were to learn specific concerns about pharmacogenetic testing and preferred recruitment strategies for these communities. Concerns were expressed about how genetic information would be used beyond the immediate study. Participants emphasized the importance of clarity and transparency in communication to overcome participation hesitancy and mistrust of the study team. Recruitment strategy recommendations ranged from informal notices posted in healthcare settings to provider referrals. The CES enabled us to modify our recruitment methods and research materials to better communicate with populations currently under-represented in pharmacogenetics research.
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Affiliation(s)
- Elizabeth A Jasper
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sabrina E Holley
- Center for Pediatric Precision Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sarah H Jones
- Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michelle Liu
- Department of Pharmacy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Tiffany Israel
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sara L Van Driest
- Center for Pediatric Precision Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Departments of Pediatrics and Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Digna R Velez Edwards
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Pruente J, Daunter AK, Bowman A, Erickson SR, Whibley D, Whitney DG. Trajectories of medication use and polypharmacy among children with cerebral palsy. J Manag Care Spec Pharm 2023; 29:58-68. [PMID: 36580123 PMCID: PMC10387963 DOI: 10.18553/jmcp.2023.29.1.58] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND: Children with cerebral palsy (CP) may have chronic exposure to polypharmacy to address several medical needs, but there is little research on the topic to inform surveillance methods and clinical practice. OBJECTIVE: To identify the trajectories of medication number and pediatric polypharmacy (≥2 concurrent medications) exposure over 3.5 years among children with CP. METHODS: This cohort study used commercial claims from January 1, 2015, to December 31, 2018 (4-year period). Children with CP, aged 5-18 years by January 1, 2016, and with continuous health plan enrollment for all 4 years, were included and categorized as with or without co-occurring neurological/ RESULTS: Of the 1,252 children with CP, 600 were in the CP only cohort (mean [SD]; age, 11.4 [4.1] years; 46.0% female) and 652 were in the CP + NDDs cohort (age, 11.9 [4.1] years; 41.3% female; 32.7% had ≥2 of the NDDs). For the primary GBTM, 3 trajectory groups were identified for CP only: on average, no prescribed medications (69.7% of the cohort), 1 medication/month (24.8%), and 4 medications/month (5.5%). Five trajectory groups were identified for CP + NDDs: 0 (22.4%), 1 (25.6%), 2 (25.2%), 4 (18.4%), and 6 (8.4%) prescribed medications/month. For the secondary GBTM, 3 trajectory groups were identified for CP only: 80.5% were characterized as negligible probability of polypharmacy exposure, 10.8% as low probability, and 8.7% as high probability. Five trajectory groups were identified for CP + NDDs: 37.9% as negligible probability of polypharmacy exposure, 32.8% as constantly high probability, and 29.2% as changing probability (eg, increasing/decreasing). CONCLUSIONS: Children with CP are chronically exposed to differing levels of polypharmacy. Findings can help establish polypharmacy surveillance practices. Studies need to determine if polypharmaceutical strategies are balanced to optimize health and development for children with CP. DISCLOSURES: Dr Whitney is supported by the University of Michigan Office of Health Equity and Inclusion Diversity Fund. The funding source had no role in the design or conduct of the study; collection, management, analysis, or interpretation of the data; preparation, review, or approval of the manuscript; or the decision to submit the manuscript for publication.
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Affiliation(s)
- Jessica Pruente
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor
| | - Alecia K Daunter
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor
| | - Angeline Bowman
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor
| | - Steven R Erickson
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor
| | - Daniel Whibley
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor.,Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
| | - Daniel G Whitney
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor.,Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
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Soliman AM, Al-Zakwani I, Younos IH, Al Zadjali S, Al Za’abi M. A Snapshot of Potentially Inappropriate Prescriptions upon Pediatric Discharge in Oman. PHARMACY 2022; 10:pharmacy10050121. [PMID: 36287442 PMCID: PMC9607182 DOI: 10.3390/pharmacy10050121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Identifying and quantifying potentially inappropriate prescribing (PIP) practices remains a time-consuming and challenging task, particularly among the pediatric population. In recent years, several valuable tools have been developed and validated for assessing PIP. This study aimed to determine the prevalence of PIP and related risk factors in pediatric patients at a tertiary care hospital in Oman. Materials and Methods: A retrospective study was conducted by reviewing the medical records of pediatric patients (<18 years) from 1 October to 31 December 2019. Potentially inappropriate medication (PIM) and potential prescribing omission (PPO) were assessed using an internationally validated pediatric omission of prescriptions and inappropriate prescriptions (POPI) tool. Results: A total of 685 patients were included; 57.5% were male, and 30.5% had at least one comorbidity. Polypharmacy was identified in 70.2% of these patients, with a median of 2 (1−3) medications. PIM was observed in 20.4% of the cohort, with the highest in ENT-pulmonary disease (30.5%), followed by dermatological disorders (28.6%). PPO was identified in 6.9% of the patients with digestive and neuropsychiatric disorders, with the highest rate of 54% and 24%, respectively. Age (p = 0.006), number of medications (p = 0.034), and prescriber rank (p = 0.006) were identified as significant predictors of PIM, whereas age (p = 0.044) was the only significant predictor for PPO. Conclusions: The rates of PIM and PPO were high in this study population. In light of these findings, educational and interventional activities and programs are needed.
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Affiliation(s)
- Alaa M. Soliman
- Department of Pharmacology and Clinical Pharmacy, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat PC 123, Oman
| | - Ibrahim Al-Zakwani
- Department of Pharmacology and Clinical Pharmacy, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat PC 123, Oman
| | - Ibrahim H. Younos
- Department of Pharmacology and Clinical Pharmacy, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat PC 123, Oman
- Department of Clinical Pharmacology, College of Medicine, Menoufia University, Shebin El Koum 51132, Egypt
- Physician Assistant Program, Morsani College of Medicine, University of South Florida, Tampa, FL 33620, USA
| | - Shireen Al Zadjali
- Department of Pharmacy, Sultan Qaboos University Hospital, Muscat PC 123, Oman
| | - Mohammed Al Za’abi
- Department of Pharmacology and Clinical Pharmacy, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat PC 123, Oman
- Correspondence: ; Tel.: +968-2414-3431
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Cardiometabolic Factors in Pediatric Patients with Chronic Diseases. Arch Med Res 2021; 52:535-543. [DOI: 10.1016/j.arcmed.2021.01.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 11/08/2020] [Accepted: 01/21/2021] [Indexed: 12/24/2022]
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Brauer R, Wong ICK, Man KK, Pratt NL, Park RW, Cho SY, Li YCJ, Iqbal U, Nguyen PAA, Schuemie M. 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. BMJ Open 2020; 10:e032426. [PMID: 31937652 PMCID: PMC7044847 DOI: 10.1136/bmjopen-2019-032426] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE To 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 SETTING Hospital 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 MEASURES For each drug class, we assessed the per-protocol overall user and prescription prevalence rates (per 1000 persons) per country and setting. RESULTS Our 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. CONCLUSIONS Country-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.
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Affiliation(s)
- Ruth Brauer
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Ian Chi Kei Wong
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong, Hong Kong
| | - Kenneth Kc Man
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong, Hong Kong
| | - Nicole L Pratt
- Quality Use of Medicines and Pharmacy Research Centre, University of South Australia, Adelaide, South Australia, Australia
| | - Rae Woong Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Soo-Yeon Cho
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Yu-Chuan Jack Li
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taiwan Medical University, Taipei, Taiwan
- The International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan
- Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan
- International Medical Informatics Association (IMIA), Geneva, Switzerland
| | - Usman Iqbal
- The International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan
- Masters & PhD Program in Global Health Department, College of Public Health, Taipei Medical University, Taipei, Taiwan
- Department of Public Health and Community Medicine, Shaikh Khalifa Bin Zayed Al-Nahyan Medical College, Shaikh Zayed Medical Complex, Lahore, Pakistan
| | - Phung-Anh Alex Nguyen
- The International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan
| | - Martijn Schuemie
- Epidemiology Analytics, Janssen Research and Development, Titusville, New Jersey, USA
- Department of Biostatistics, University of California, Los Angeles, California, USA
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