This executive summary describes current challenges to conducting pediatric medication safety research and highlights state-of-the-art methodologies to overcome these challenges.
Abstract
In May 2016, the Eshelman School of Pharmacy at The University of North Carolina at Chapel Hill convened the PharmSci conference to address the topic of “methodological and ethical issues in pediatric medication safety research.” A multidisciplinary group of experts representing a diverse array of perspectives, including those of the US Food and Drug Administration, children’s hospitals, and academia, identified important considerations for pediatric medication safety research and opportunities to advance the field. This executive summary describes current challenges that clinicians and researchers encounter related to pediatric medication safety research and identifies innovative and ethically sound methodologies to address these challenges to improve children’s health. This article addresses 5 areas: (1) pediatric drug development and drug trials; (2) conducting comparative effectiveness research in pediatric populations; (3) child and parent engagement on study teams; (4) improving communication with children and parents; and (5) assessing child-reported outcomes and adverse drug events.
The safe and effective use of medications in pediatric populations is an important and underdeveloped area of health services research. Although federal agencies such as the Agency for Healthcare Research and Quality have identified medication safety as a priority research area and children/adolescents as a priority research population, specific guidance for conducting medication safety research with pediatric populations is lacking. Although this article will focus on the pediatric population, many of the challenges and opportunities discussed are also applicable to other special populations (eg, pregnant women).1 Pediatric medication safety research warrants greater attention because it is associated with complex challenges, including age-dependent changes in drug disposition and effects,2 establishing safe doses for pediatric versus adult patients,3,4 the ethical and practical issues associated with off-label use of medications, and conducting comparative effectiveness research (CER) in pediatric populations.5–7 Furthermore, pediatric medication safety is a timely issue that has been at the forefront of the public’s attention because of a firestorm of media coverage regarding the risks and benefits of childhood vaccinations. Coverage of this issue has highlighted the need for better strategies to communicate medication risks and benefits to parents, children, and adolescents.
To address this important area of research, in May 2016, the Eshelman School of Pharmacy at the University of North Carolina (UNC) at Chapel Hill convened 16 experts from a diverse array of disciplines and settings to share insights from their own work about how they are addressing pressing issues in pediatric medication safety research and what they envision as the next steps to move the field forward. This summary condenses the 16 presentations into 5 overarching areas: (1) pediatric drug development and drug trials; (2) conducting CER in pediatric populations; (3) child and parent engagement on study teams; (4) improving communication with children and parents; and (5) assessing child-reported outcomes and adverse drug events (ADEs). We first describe current challenges in each of these 5 areas and then discuss state-of-the-art methodologies that could be used to advance future research (Table 1). Short videos summarizing speakers’ key points are available at: http://tinyurl.com/pharmsci2016.
TABLE 1.
Challenge | Potential Solutions |
---|---|
Pediatric drug development and drug trials | |
• Difficulty recruiting patients with disease of interest and across pediatric age continuum | • Opportunistic clinical trials that capitalize on routine care procedures |
• Limited blood volume in neonates | • Master protocols that allow for collection of data for multiple drugs, indications, and/or biomarkers |
• Application of pharmacokinetic/pharmacodynamic modeling and simulation methods to optimize clinical trial design | |
• Sparse sampling and ultralow volume bioanalytical assays to facilitate blood testing | |
Conducting CER in pediatric populations | |
• Identifying and enrolling children who meet eligibility criteria and who are at various developmental stages | • Multisite collaborations of hospitals and health systems that agree to share EMR data |
• EMR issues, including inconsistencies in free text data, incomplete or missing data, and limited ability to extract data across EMR vendors, and incomplete longitudinal data | • Data harmonization across EMRs that minimizes missing data (CER2) |
Child and parent engagement on study teams | |
• Identifying and engaging children and parents who are representative of the clinical population | • Pediatric collaborative care networks |
• Logistical and/or scheduling issues | • Involving children and parents in the earliest stages of a study |
• Describing research studies to parents and children | • Teleconference technologies and scheduling meetings after school or after work to accommodate family schedules |
• Identifying ways for parents and children to contribute to all aspects of a study | • Break-out groups that allow children and parents to express their priorities/concerns separately |
Improving communication with children and parents | |
• Provider discomfort communicating with youth and parents | • National guidelines about youth-friendly medication communication (You’re Welcome; example from United Kingdom) |
• Relying on parent, child, or provider reports of communication quality | • Creating youth-friendly physical spaces to enhance communication |
• Conducting direct observations of child-parent-provider communication | |
Assessing child-reported outcomes and ADEs | |
• Caregivers provide proxy report of child’s health and functioning even when child is able to provide such reports | • Online libraries of validated child-report measures (Pediatric PRO-CTCAE, PROMIS) |
• Data on what constitutes “normal” laboratory values and ADEs in youth are lacking | • Pharmacovigilance programs to standardize systems to monitor ADEs in clinical care settings |
Drug Development and Drug Trials in Pediatric Populations
Current Challenges
Pediatric initiatives in the United States, such as the Best Pharmaceuticals for Children Act and the Pediatric Research Equity Act, have paved the way for an expansion in pediatric research by encouraging the pharmaceutical industry to perform necessary studies in children and having the National Institutes of Health (NIH) prioritize therapeutic areas and sponsor clinical trials. Unfortunately, for many drugs, there is still inadequate information in the label to guide the safe and effective use of medications in children, particularly in neonates. For example, between 1997 and 2010, a total of 406 pediatric labeling changes were made in the United States and only 24 (6%) of these included new neonatal information; 13 of the 24 labeling changes (54%) were the inclusion of the statement “safety and effectiveness have not been established.”8
Conducting clinical trials in neonates and children is difficult given that, often, only a limited number of patients with the disease of interest are available, that enrollment of patients across the pediatric age continuum is needed, and that recruitment can be challenging. Early phase trials focused on characterizing the pharmacokinetic and pharmacodynamic properties of a drug in the pediatric population can be difficult to perform because limited blood volume in neonates requires careful consideration of the number and timing of blood samples collected.
State-of-the-Art Methodology
The use of innovative clinical trial designs, sparse sampling to characterize pharmacokinetics, development of ultralow volume bioanalytical assays to facilitate blood testing, national and international research networks to conduct trials collaboratively, and application of advanced quantitative clinical pharmacology methods to optimize trial design and analyze pediatric data are opportunities to overcome some of the noted challenges to performing drug trials in children. Master protocols that allow for collection of data for multiple drug treatments, indications, and/or biomarkers are an efficient approach to collecting pediatric data. In addition, opportunistic clinical trials that capitalize on routine care procedures and enroll children who are already receiving the drug as a clinical intervention are another efficient approach to data collection in children that minimizes study risks.9 However, opportunistic trials have some potential limitations. For example, in the context of characterizing a drug’s pharmacokinetics and/or pharmacodynamics, blood sampling in an opportunistic study can be sparse and variable in timing (if timed with routine care laboratory collections). Additionally, because of the heterogeneity of patients enrolled in opportunistic trials, there can be substantial variability in the doses evaluated, the concomitant medications patients are receiving, and the disease status/severity of patients enrolled in the trial. Furthermore, implementation of pragmatic study design elements for expanding pediatric drug evaluation programs could allow collection of comparative effectiveness data for drugs evaluated in a real-world setting. However, there are ethical considerations to performing pragmatic trials postapproval that would need to be addressed, including concerns related to the random assignment of real-world patients and the level of oversight needed for these trials.10
Pharmacokinetic and/or pharmacodynamic modeling and simulation methods can be used to optimize dose selection in early phase trials to maximize the likelihood that the studied dose will have a beneficial efficacy and safety profile.11 For example, population pharmacokinetic models are often developed by using sparse samples collected in early phase studies. Enrollment in these studies can occur in a sequential fashion (from the oldest to youngest pediatric age groups), and the model can be updated as additional pediatric data become available. These models can then be used to select the dosing regimen(s) that will be evaluated in follow-up efficacy and safety studies. In addition to aiding with dose selection, developed pharmacokinetic and/or pharmacodynamic models can also be applied to perform clinical trial simulations that can aid in optimizing other study design characteristics (eg, sample size, timing of pharmacokinetic sampling).12 The use of Bayesian methods, such as Bayesian hierarchical modeling and the derivation of formal previous distributions by using adult data, has also been highlighted by regulators as an approach to increase the likelihood of success of pediatric drug development programs.13,14 Although there are ethical issues to consider to ensure that children and families are respected and that risks are minimized, these issues are addressable, and the scientific necessity and social value of conducting such research is in itself an ethical consideration.15–17
Conducting CER in Pediatric Populations
Current Challenges
CER is costly and time-consuming to implement in pediatric populations. Identifying a sufficient number of children who meet eligibility criteria for noninterventional retrospective studies and enrolling enough children to adequately power prospective trials can be difficult within a single site or even across multiple sites, especially for rare conditions. Additionally, because clinically important differences may vary within the pediatric population (eg, differences between young children and teens), the authors of both retrospective and prospective studies should strive to include sufficient numbers of children at various developmental stages to examine changes in treatment effects.18 Given that electronic medical record (EMR) use among pediatricians has increased from 58% to 79% in 201219 and continues to grow, EMRs offer great potential to overcome the aforementioned barriers to conducting retrospective and prospective CER studies. However, several challenges exist to using EMRs to conduct pediatric CER studies, including inconsistencies in how free text data are documented in various EMR systems, incomplete or missing data across systems, and limited ability to extract data across EMR vendors.20 Limited ability to extract data across EMR vendors is particularly problematic for the authors of prospective studies in which patients may receive care from multiple hospitals or specialty care practices. In these cases, researchers may have incomplete longitudinal data on the types of care received, which can confound study results.21
One ethical issue that poses challenges is how to assess the risks and obtain consent in such research that involves standard medical practices. Draft regulatory guidance in 2014 suggested that potential differences in efficacy between standard drugs should be considered risks of research.22,23 The problematic implication of this view is that such research would pose more than minimal risk, which would influence the approach to consent. However, there is not agreement about calling this a research risk. An alternative perspective is that these are clinical risks and not research risks. The impact of drug selection is a clinical risk related to choosing one drug or another drug.24 This information should be conveyed to potential research participants, but the risk is from the choice of drug and not from the decision to enroll in the study. This issue has not been resolved, and different institutional review boards have different approaches.25
State-of-the-Art Methodology
Multisite collaborations of hospitals and health systems that agree to share EMR data on child outcomes offer unprecedented opportunities to study the effectiveness of medications and surgical procedures in pediatric populations. For example, the PEDSnet clinical data research network is a consortium of multiple children’s hospitals, 2 patient-centered, disease-specific pediatric networks, a pediatric obesity network, and 2 national data partners.26 Data collected as part of this consortium can be used for continuous monitoring of outcomes and CER. In 1 case, data from several of these multisite collaborations have been combined to create an über-network of child health data. This über-network is referred to as the Comparative Effectiveness Research through Collaborative Electronic Reporting (CER2).27 Currently, the CER2 database has more than 14 years of longitudinal data on over 1.2 million children seen by over 2000 practitioners at 222 practice sites across the United States. The database allows for retrospective studies and can also support participant recruitment for prospective studies. The data are harmonized across different sites, allowing researchers quick access to a database that contains clinical information and samples large enough to study rare events. Importantly, the research team has been able to effectively address methodological issues related to missing data on race and ethnicity, and the data set includes children of all ages, allowing researchers to take a life-course perspective on treatment effectiveness and child outcomes. Even with databases of this size, recruiting enough patients with certain rare diseases or rare events could still be difficult, although new studies are emerging that reveal that large databases, such as the one described above, are able to overcome this. For example, as recently reported at the Pediatric Academic Societies conference, CER2 has been used to successfully study rare medication-related events.28 Specifically, researchers were able to estimate the risk of an arrhythmia (a rare event) associated with short-term β agonist use in pediatric patients with asthma and determine the difference in risk related to on- versus off-label status. Insurance claims data can also be used to compare medication outcomes for pediatric patients on a national level, but claims data can be limited depending on how many children are enrolled in a particular plan and may not link all prescription claims to hospital claims.
Additionally, although it is possible to “waive” regulatory consent for research that just uses medical records, some data suggest that the public is just as interested in giving consent for this type of research.29,30 Regulatory consent refers to the formalized approach with a detailed informed consent document. When a study is minimal risk, the institutional review board can not only waive consent but also approve an “altered” approach, such as an information sheet given to a patient in person or delivered to a patient by mail or Web site notification. Such approaches may address ethical issues, such as respect and transparency, and also have the potential to improve community support for this critical research.
Child and Parent Engagement on Study Teams
Current Challenges
In recent years, the importance of engaging children and parents on study teams has been emphasized, most notably by the Patient Centered Outcomes Research Institute. Although many clinicians and researchers recognize the importance of incorporating child and parent perspectives into the research process, many are unsure of the most effective ways to do this. Research is beginning to emerge on strategies to engage patients on study teams, but fewer study authors have focused on pediatric populations.31 Researchers have struggled with several issues, including identifying children and parents who are representative of their clinical population and also willing and able to participate on study teams, overcoming logistical issues related to scheduling team meetings, effectively describing research studies to parents and children, and identifying ways for parents and children to contribute to all aspects of a study, including data analysis and dissemination.
State-of-the-Art Methodology
Pediatric collaborative care networks offer a national structure within which to meaningfully engage families, researchers, providers, and other stakeholders to develop research agendas that address the issues that are of greatest concern to children, parents, and providers.32 Pediatric collaborative care networks, which include patient-powered research networks, are networks of patient organizations focused on a particular health condition that are interested in sharing health information to design and implement CER studies and improve the quality of health care.33 Currently, several pediatric collaborative networks exist, including networks for the subspecialties of cardiology, gastroenterology, and rheumatology.34 Within these networks, teams of stakeholders, including children and their parents, meet frequently to help health care organizations understand how they can improve their care and identify priority areas for research studies.
A critical factor related to the success of these networks is involving children and parents in the earliest stages of study, including research question development. As a group, child, parent, and provider stakeholders are then continually engaged throughout the research process, including dissemination of study findings. These networks are often facilitated by teleconference technologies that allow national groups of parents, children, and providers to meet frequently without the need for travel. Team meetings often take place after school or work to accommodate family schedules, and breakout groups that allow children and parents to express their priorities and concerns separately ensure that the voices of both children and their parents are heard. Developing and sustaining collaborative care networks requires the investment of financial resources, including dedication of staff time to schedule meetings, which can make them more difficult to implement in smaller health care organizations. These network models have had great success at improving pediatric outcomes. For example, since the implementation of the ImproveCareNow network, which includes 87 gastrointestinal centers and 25 000 pediatric Crohn disease and ulcerative colitis patients, the rates of inactive disease have significantly increased by ∼12%.35 Such approaches to community engagement can address the ethical concerns of families and communities but also require that these groups themselves consider the ethical issues related to design and recruitment within the community.36,37
Improving Communication With Children and Parents
Current Challenges
Despite evidence that communicating directly with children leads to improved health behaviors and clinical outcomes,38,39 provider communication about medications and treatment options with youth and parents in clinical settings, such as pediatric practices and pharmacies, remains suboptimal. For example, community pharmacists only counsel children about their medications 2% of the time.40 Opportunities for pharmacists to engage children in pertinent medication and health-related discussions may also be limited by state laws. For example, 39% of states do not allow pharmacists to administer human papillomavirus vaccinations.41 Moreover, providers may often feel uncomfortable or unprepared when communicating with youth and parents. Methodological limitations involve relying on parent and child reports of communication rather than direct observation of interactions, which can be problematic because of providers’ overestimation of how often they engage youth in health-related discussions.40 Potential improvements to communication are not limited to in-person interactions, as communication via electronic modalities (eg, text message, e-mail) and better labeling of prescription drugs are also needed to ensure patient comprehension.
State-of-the-Art Methodology
Improving provider communication with youth could be facilitated by a set of national guidelines designed to help providers address the multilevel factors that influence quality of communication about medications. For example, the United Kingdom has the You’re Welcome criteria,42 which constitute a framework that identifies 10 factors for facilitating youth-friendly communication; the United States does not have a similar framework to promote effective youth-centered communication in clinical settings. Once developed, guidance on how to put these guidelines into practice in various clinical settings would be needed and would include addressing the specific factors that negatively affect providers’ confidence in communicating with youth about particular medications or health issues in pharmacies versus clinics, for example. The physical environment is often neglected when considering facilitators of child-provider communication. Thus, innovative opportunities exist to create physical spaces that are conducive to child-provider communication (eg, private, kid-friendly, and aesthetically pleasing spaces). Additionally, the methodological rigor of communication studies can be improved by conducting direct observational studies of youth-provider communication rather than relying on parent, child, and provider self-report of the quality of communication.
Assessment of Child-Reported Outcomes and ADEs
Current Challenges
Caregivers are often responsible for providing information on the symptomology and quality of life of infants and young children. However, despite evidence that children as young as 8 years of age can validly and reliably report their health status, researchers and clinicians frequently continue to ask caregivers to provide proxy reports of children’s functioning and health status.43 This practice is problematic given that children’s reports of their health and functioning are only weakly to moderately correlated with caregiver and clinician reports, leading to inaccurate estimates of how disease impacts children’s lives.44,45 Clinicians’ and researchers’ ability to accurately report ADEs for children of different ages is complicated by the fact that data on what constitutes “normal” laboratory values in pediatric populations are often lacking. Inaccurate reporting of ADEs can lead providers to prescribe contraindicated medications or choose suboptimal treatments.
State-of-the-Art Methodology
Online libraries of validated measures are currently being developed for clinicians and researchers to use with pediatric patients to assess children’s experiences with symptomatic adverse events. One such system, the Pediatric Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (Pediatric PRO-CTCAE) was designed for children and adolescents to self-report symptomatic adverse events experienced while undergoing treatments.46 The Pediatric PRO-CTCAE can capture up to 62 adverse events, includes self-report and proxy measures, and is currently being evaluated in prospective observational and interventional studies with children and adolescents with cancer and other chronic diseases. Additionally, work with pharmacovigilance programs has been implemented to standardize systems to monitor ADEs in clinical care settings. These systems ideally include documentation of the type, severity, causality, and avoidability of the ADE for reporting to regulatory agencies. The NIH Patient-Reported Outcomes Measurement Information System (PROMIS) also has developed measures to assess child-reported symptoms and health-related quality of life across many chronic conditions (www.nihpromis.com/). Some examples of validated child-reported PROMIS measures include fatigue, depressive symptoms, family relationships, asthma impact, and psychological stress. Additionally, PROMIS has also developed validated caregiver proxy-report measures for use with caregivers of children ages 5 to 17. Although most of these measures are brief, additional implementation studies may be needed to determine how to most effectively integrate them into provider workflows.
Conclusions
Thanks to advances in multisite collaborations (eg, PEDSnet and CER2) and health information technology (eg, improved ability to link and analyze free-text EMR data and minimize missing data), an unprecedented opportunity now exists to improve pediatric health outcomes through the development and implementation of ethical and methodologically rigorous large-scale research studies. Use of innovative clinical trial designs, such as opportunistic trials and master protocols, enables researchers, in collaboration with parents, children, and clinicians, to make significant advances in drug development, identifying optimal dosing for medications, as well as conducting studies to identify the best treatment options across the pediatric life-course. By effectively engaging children and parents on study teams throughout the research process, researchers also will ensure that the outcomes studied are relevant to children and their families. Innovations in measure development, including Pediatric PRO-CTCAE and PROMIS, have also allowed us to more accurately capture child-reported outcomes, which can be integrated as endpoints in comparative effectiveness studies. Lastly, conducting more rigorous observational studies of child-parent-provider communication that include direct observation of health care encounters will ensure that providers convey information about treatment options in ways that children and parents understand, so that they can make informed decisions.
Acknowledgments
The conference was supported by the Agency for Healthcare Quality and Research (R13HS024471); the Division of Pharmaceutical Outcomes and Policy at the UNC Eshelman School of Pharmacy; the North Carolina Translational and Clinical Sciences Institute, home of the NIH Clinical and Translational Science Awards at UNC-Chapel Hill (UL1TR001111); and the Cecil G. Sheps Center for Health Services Research. The following invited scientists participated in the conference: Alexander G. Fiks, MD, MSCE, Department of Pediatrics at the Perelman School of Medicine, University of Pennsylvania and the Children’s Hospital of Philadelphia (Philadelphia, PA); Lisa LaVange, PhD, Office of Biostatistics, Center for Drug Evaluation and Research, US Food and Drug Administration (Silver Spring, MD); Benjamin Wilfond, MD, Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Research Institute, Professor of Pediatrics, University of Washington (Seattle, WA); Olufunmilola K. Abraham, PhD, MS, BPharm, Department of Pharmacy and Therapeutics, School of Pharmacy and Clinical and Translational Science Institute, University of Pittsburgh (Pittsburgh, PA); Noel Brewer, PhD, Department of Health Behavior at the Gillings School of Global Public Health, UNC-Chapel Hill (Chapel Hill, NC); Delesha Carpenter, PhD, MSPH, Division of Pharmaceutical Outcomes and Policy, UNC-Chapel Hill (Chapel Hill, NC); Elizabeth Cox, MD, PhD, Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison (Madison, WI); Frank Dundee, BS Pharmacy, Advisory Board, Pediatrics, Journal of the American Pharmaceutical Association Pharmacy Advisory Board, Ohio Bureau of Children with Medical Handicaps (Columbus, OH); Julia Fiona-Maree Gilmartin, PhD, BPharm (Hons), MPS, GCPP, AFHEA (United Kingdom), Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University (Melbourne, Australia); Jennifer Goldman, MD, MS, Department of Pediatrics, Divisions Pediatric Infectious Diseases and Clinical Pharmacology, Children’s Mercy Hospitals and Clinics (Kansas City, MO); Daniel Gonzalez, PharmD, PhD, Division of Pharmacotherapy and Experimental Therapeutics, UNC-Chapel Hill (Chapel Hill, NC); Michael Kappelman, MD, MPH, Department of Pediatrics, School of Medicine, UNC-Chapel Hill (Chapel Hill, NC); Carole Lannon, MD, MPH, Director, Learning Networks Core Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Professor of Pediatrics, University of Cincinnati (Cincinnati, OH); Oksana Pyzik, MPharm, School of Pharmacy, University College London (London, United Kingdom); Bryce B. Reeve, PhD, Health Policy and Management, Lineberger Comprehensive Cancer Center, UNC-Chapel Hill (Chapel Hill, NC); Brian Smith, MD, MPH, MHS, Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Duke University Medical Center, Duke Clinical Research Institute (Durham, NC); David Wohl, MD, School of Medicine, UNC-Chapel Hill, Codirector of HIV Services, North Carolina Department of Corrections (Chapel Hill, NC).
Glossary
- ADE
adverse drug event
- CER
comparative effectiveness research
- CER2
Comparative Effectiveness Research through Collaborative Electronic Reporting
- EMR
electronic medical record
- NIH
National Institutes of Health
- PRO-CTCAE
Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events
- PROMIS
Patient-Reported Outcomes Measurement Information System
- UNC
University of North Carolina
Footnotes
Dr Carpenter was the scientific chair for the conference and drafted the initial manuscript; Drs Gonzalez, Sleath, Retsch-Bogart and Wilfond contributed to writing the manuscript and critically reviewed the manuscript; and all authors approved the final manuscript as submitted.
The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the US Food and Drug Administration.
FINANCIAL DISCLOSURE: Dr Gonzalez receives support from industry (Cempra, Inc and Jacobus Pharmaceutical Company, Inc) for drug development in adults and children; the other authors have indicated they have no financial relationships relevant to this article to disclose.
FUNDING: Dr Gonzalez receives support for research from the National Institute of Child Health and Human Development (K23HD083465) and the nonprofit Thrasher Research Fund (www.thrasherresearch.org). Funded by the National Institutes of Health (NIH).
POTENTIAL CONFLICT OF INTEREST: Dr Gonzalez receives support from industry (Cempra, Inc, and Jacobus Pharmaceutical Company, Inc) for drug development in adults and children; the other authors have indicated they have no potential conflicts of interest to disclose.
References
- 1.Gonzalez D, Boggess KA, Cohen-Wolkowiez M. Lessons learned in pediatric clinical research to evaluate safe and effective use of drugs in pregnancy. Obstet Gynecol. 2015;125(4):953–958 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kearns GL, Abdel-Rahman SM, Alander SW, Blowey DL, Leeder JS, Kauffman RE. Developmental pharmacology–drug disposition, action, and therapy in infants and children. N Engl J Med. 2003;349(12):1157–1167 [DOI] [PubMed] [Google Scholar]
- 3.Safer DJ, Zito JM. Treatment-emergent adverse events from selective serotonin reuptake inhibitors by age group: children versus adolescents. J Child Adolesc Psychopharmacol. 2006;16(1–2):159–169 [DOI] [PubMed] [Google Scholar]
- 4.Rakhmanina NY, van den Anker JN. Pharmacological research in pediatrics: from neonates to adolescents. Adv Drug Deliv Rev. 2006;58(1):4–14 [DOI] [PubMed] [Google Scholar]
- 5.Schreiner MS. Paediatric clinical trials: redressing the imbalance. Nat Rev Drug Discov. 2003;2(12):949–961 [DOI] [PubMed] [Google Scholar]
- 6.Knellwolf AL, Bauzon S, Alberighi OD, et al. . Framework conditions facilitating paediatric clinical research. Ital J Pediatr. 2011;37(1):12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kaushal R, Bates DW, Landrigan C, et al. . Medication errors and adverse drug events in pediatric inpatients. JAMA. 2001;285(16):2114–2120 [DOI] [PubMed] [Google Scholar]
- 8.Laughon MM, Avant D, Tripathi N, et al. . Drug labeling and exposure in neonates. JAMA Pediatr. 2014;168(2):130–136 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gonzalez D, Melloni C, Yogev R, et al. ; Best Pharmaceuticals for Children Act – Pediatric Trials Network Administrative Core Committee . Use of opportunistic clinical data and a population pharmacokinetic model to support dosing of clindamycin for premature infants to adolescents. Clin Pharmacol Ther. 2014;96(4):429–437 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kalkman S, van Thiel GJ, Grobbee DE, van Delden JJ. Pragmatic randomized trials in drug development pose new ethical questions: a systematic review. Drug Discov Today. 2015;20(7):856–862 [DOI] [PubMed] [Google Scholar]
- 11.Stockmann C, Barrett JS, Roberts JK, Sherwin C. Use of modeling and simulation in the design and conduct of pediatric clinical trials and the optimization of individualized dosing regimens. CPT Pharmacometrics Syst Pharmacol. 2015;4(11):630–640 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dong M, Fukuda T, Selim S, et al. . Clinical trial simulations and pharmacometric analysis in pediatrics: application to inhaled Loxapine in children and adolescents [published online ahead of print February 15, 2017]. Clin Pharmacokinet. doi: 10.1007/s40262-017-0512-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.US Food and Drug Administration Leveraging existing clinical data for extrapolation to pediatric uses of medical devices: draft guidance for industry and food and drug administration staff. 2015. Available at: https://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm444591.pdf. Accessed June 21, 2016
- 14.Cooner FW. Leveraging adult data in pediatric product development: the role of Bayesian statistics. In: FDA-University of Maryland CERSI Workshop; June 1, 2016; College Park, MD [Google Scholar]
- 15.Rieder M, Hawcutt D. Design and conduct of early phase drug studies in children: challenges and opportunities. Br J Clin Pharmacol. 2016;82(5):1308–1314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Roth-Cline M, Nelson RM. Ethical considerations in conducting pediatric and neonatal research in clinical pharmacology. Curr Pharm Des. 2015;21(39):5619–5635 [DOI] [PubMed] [Google Scholar]
- 17.Roth-Cline M, Nelson RM. Microdosing studies in children: a US regulatory perspective. Clin Pharmacol Ther. 2015;98(3):232–233 [DOI] [PubMed] [Google Scholar]
- 18.Simpson LA, Peterson L, Lannon CM, et al. . Special challenges in comparative effectiveness research on children’s and adolescents’ health. Health Aff (Millwood). 2010;29(10):1849–1856 [DOI] [PubMed] [Google Scholar]
- 19.Lehmann CU, O’Connor KG, Shorte VA, Johnson TD. Use of electronic health record systems by office-based pediatricians. Pediatrics. 2015;135(1). Available at: www.pediatrics.org/cgi/content/full/135/1/e7 [DOI] [PubMed] [Google Scholar]
- 20.Fiks AG, Grundmeier RW, Margolis B, et al. . Comparative effectiveness research using the electronic medical record: an emerging area of investigation in pediatric primary care. J Pediatr. 2012;160(5):719–724 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hersh WR, Weiner MG, Embi PJ, et al. . Caveats for the use of operational electronic health record data in comparative effectiveness research. Med Care. 2013;51(8 suppl 3):S30–S37 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Wilfond BS, Magnus DC. The potential harms and benefits from research on medical practices. Hastings Cent Rep. 2015;45(3):5–6 [DOI] [PubMed] [Google Scholar]
- 23.Welch MJ, Lally R, Miller JE, et al. . The ethics and regulatory landscape of including vulnerable populations in pragmatic clinical trials. Clin Trials. 2015;12(5):503–510 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Weiss EM, Joffe S. Promoting informed decision making for comparative effectiveness randomized trials. JAMA Pediatr. 2015;169(9):803–804 [DOI] [PubMed] [Google Scholar]
- 25.Porter KP, Cho MK, Kraft SA, et al. . IRB staff and members’ attitudes about randomization in research on medical practices: variation in regulatory interpretations. IRB Ethics Hum Res. 2017;39(1):10–16 [PubMed] [Google Scholar]
- 26.Forrest CB, Margolis PA, Bailey LC, et al. . PEDSnet: a national pediatric learning health system. J Am Med Inform Assoc. 2014;21(4):602–606 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Fiks AG, Grundmeier RW, Steffes J, et al. ; Comparative Effectiveness Research Through Collaborative Electronic Reporting (CER2) Consortium . Comparative effectiveness research through a collaborative electronic reporting consortium. Pediatrics. 2015;136(1). Available at: www.pediatrics.org/cgi/content/full/136/1/e215 [DOI] [PubMed] [Google Scholar]
- 28.Czaja AS, Liu W, Ficks A, et al. . A new collaborative pediatric electronic health record (EHR) network to examine off-label prescribing. In: Proceedings from the American Academy of Pediatrics; April 25-28, 2015 San Diego, CA [Google Scholar]
- 29.Cho MK, Magnus D, Constantine M, et al. . Attitudes toward risk and informed consent for research on medical practices: a cross-sectional survey. Ann Intern Med. 2015;162(10):690–696 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kim SY, Miller FG. Waivers and alterations to consent in pragmatic clinical trials: respecting the principle of respect for persons. IRB. 2016;38(1):1–5 [PubMed] [Google Scholar]
- 31.Likumahuwa-Ackman S, Angier H, Sumic A, et al. . IMPACCT Kids’ Care: a real-world example of stakeholder involvement in comparative effectiveness research. J Comp Eff Res. 2015;4(4):351–357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Margolis PA, Peterson LE, Seid M. Collaborative chronic care networks (C3Ns) to transform chronic illness care. Pediatrics. 2013;131(4 suppl 4):S219–S223 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Daugherty SE, Wahba S, Fleurence R; PCORnet PPRN Consortium . Patient-powered research networks: building capacity for conducting patient-centered clinical outcomes research. J Am Med Inform Assoc. 2014;21(4):583–586 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lannon CM, Peterson LE. Pediatric collaborative networks for quality improvement and research. Acad Pediatr. 2013;13(6 suppl):S69–S74 [DOI] [PubMed] [Google Scholar]
- 35.Crandall WV, Margolis PA, Kappelman MD, et al. ; ImproveCareNow Collaborative . Improved outcomes in a quality improvement collaborative for pediatric inflammatory bowel disease. Pediatrics. 2012;129(4). Available at: www.pediatrics.org/cgi/content/full/129/4/e1030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lavery JV. ‘Wicked problems’, community engagement and the need for an implementation science for research ethics [published online ahead of print August 18, 2016]. J Med Ethics. doi: 10.1136/medethics-2016-103573 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Anderson EE, Solomon S, Heitman E, et al. . Research ethics education for community-engaged research: a review and research agenda. J Empir Res Hum Res Ethics. 2012;7(2):3–19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Dimatteo MR. The role of effective communication with children and their families in fostering adherence to pediatric regimens. Patient Educ Couns. 2004;55(3):339–344 [DOI] [PubMed] [Google Scholar]
- 39.Sleath B, Carpenter DM, Slota C, et al. . Communication during pediatric asthma visits and self-reported asthma medication adherence. Pediatrics. 2012;130(4):627–633 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Carpenter DM, Abraham O, Alexander DS, Horowitz K. Counseling of children and adolescents in community pharmacies: results from a 14-day observational study. J Am Pharm Assoc (2003). 2016;56(3):266–269 [DOI] [PubMed] [Google Scholar]
- 41.Brewer NT, Chung JK, Baker HM, Rothholz MC, Smith JS. Pharmacist authority to provide HPV vaccine: novel partners in cervical cancer prevention. Gynecol Oncol. 2014;132(1 suppl 1):S3–S8 [DOI] [PubMed] [Google Scholar]
- 42.Hargreaves DS. Revised you’re welcome criteria and future developments in adolescent healthcare. J Clin Res Pediatr Endocrinol. 2011;3(2):43–50 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Matza LS, Patrick DL, Riley AW, et al. . Pediatric patient-reported outcome instruments for research to support medical product labeling: report of the ISPOR PRO good research practices for the assessment of children and adolescents task force. Value Health. 2013;16(4):461–479 [DOI] [PubMed] [Google Scholar]
- 44.Hockenberry MJ, Hinds PS, Barrera P, et al. . Three instruments to assess fatigue in children with cancer: the child, parent and staff perspectives. J Pain Symptom Manage. 2003;25(4):319–328 [DOI] [PubMed] [Google Scholar]
- 45.Parsons SK, Barlow SE, Levy SL, Supran SE, Kaplan SH. Health-related quality of life in pediatric bone marrow transplant survivors: according to whom? Int J Cancer Suppl. 1999;12:46–51 [DOI] [PubMed] [Google Scholar]
- 46.Reeve BB, McFatrich M, Pinheiro LC, et al. . Eliciting the child’s voice in adverse event reporting in oncology trials: cognitive interview findings from the pediatric patient-reported outcomes version of the common terminology criteria for adverse events initiative. Pediatr Blood Cancer. 2017;64(3):e26261. [DOI] [PMC free article] [PubMed] [Google Scholar]