Rx -to- OTC switch increased access and lowered cost of topical adapalene.

Topical adapalene gel is an effective and well tolerated acne treatment that transitioned from prescription to over-the-counter (OTC) availability in 2016. Historically, prescription to OTC transitions have lowered costs to patients and payers and increased access to medications. This study used sales and prescriber data to assess access to topical retinoid therapies and their costs in the pre- and post- Rx-to-OTC transition. We demonstrate that the prescription to OTC transition of adapalene gel increased access to this medication, while lowering costs to patients and payers, including Medicare patients. These results provide a necessary call to action for future OTC shifts with other high safety profile, well-tolerated medications in ultimate efforts and hopes of cost savings for patients, insurers, and Medicare within our healthcare industry.

Real-world pharmacological treatment patterns of patients with threatened miscarriage in China from 2014 to 2020: A cross-sectional analysis.

WHAT IS KNOWN AND OBJECTIVE: Approximately half of the patients with threatened miscarriage suffer an abortion, and consistent medication therapy to prevent threatened miscarriage is lacking. Our goal was to investigate the real-world pharmacological treatment patterns of patients with threatened miscarriage in China, with a focus on the trend and rationality of progestogen use over the last 7 years. METHODS: We performed a cross-sectional analysis of data from the Hospital Prescription Analysis Cooperation Project that is overseen by the Chinese Pharmaceutical Association. Information was extracted from prescriptions of outpatients with threatened miscarriage between January 2014 and December 2020. We quantified the types of medications using the first level anatomical therapeutic chemical (ATC) classification code and the frequency of use of medicines classified as category X by the United States Food and Drug Administration (FDA). We also calculated the prevalence of the most frequently used progestogens by assessing prescription rates, determined the sum of the defined daily doses (DDDs) and defined daily cost (DDC) and evaluated the rationality of progestogens according to drug labels and guidelines. RESULTS AND DISCUSSION: Of the 91,464 patients included in this study, 69.4% were from the eastern region, 92.5% were from tertiary hospitals, and 72.9% were between 25 and 34 years old. The average number of medications per patient was 1.4. The following types of medicines were the most prevalent: "genitourinary system and sex hormones" (90.7%), "alimentary tract and metabolism" (10.8%) and "blood and blood-forming organs" (9.9%). Progestogens were prescribed for 81,080 patients (88.6%), among which oral progesterone (39.7%) was the most commonly used, followed by oral dydrogesterone (34.4%), progesterone injection (26.0%), oral allylestrenol (0.7%) and progesterone gel (0.4%). In other words, 10,991 (12.0%) patients used more than one progestogen, and the top three combinations were oral dydrogesterone plus progesterone injection (5.6%), oral progesterone plus progesterone injection (4.7%) and oral dydrogesterone plus oral progesterone (1.1%). The prescription rate of dydrogesterone increased gradually, whereas that of progesterone, especially progesterone injection, obviously decreased. Among 34,760 prescriptions of progestogens with complete usage information, the primary errors of progestogen use were "low frequency" (18.4%), "high single dose" (15.9%) and "low single dose" (11.3%). In addition, 137 prescriptions were identified with drug-progestogen interactions, and 61 were identified with contraindications for progestogens. A total of 4.5% of prescriptions included FDA category X medicines. WHAT IS NEW AND CONCLUSION: Our findings are the first to provide information on medication use in patients with threatened miscarriage over the last seven years in China. Medicines targeting the "genitourinary system and sex hormones," especially progestogens, were the most commonly prescribed medications, among which dydrogesterone was the most prevalent. However, it is remarkable that the use of progestogens for the treatment of threatened abortion is still controversial; thus, high-quality large sample studies are still required, especially among Chinese patients. Since usage errors in progestogen records and exposure to category X medicines were common, more efforts are needed to guarantee the safety and rationality of medicines used in pregnant women.

A systematic review on pediatric medication errors by parents or caregivers at home.

INTRODUCTION: Medication errors (MEs) are frequent and, in some cases, can lead to hospitalization, disability, increased healthcare costs or, even, death. Most of pediatric medications are administered by parents or caregivers at home. It is necessary to explore the MEs at home to improve pediatric patient safety. AREAS COVERED: This study aimed to review the current literature on the frequency of pediatric MEs by parents or caregivers at home, their associated factors, and pediatric ME reporting systems. Citable original articles of any type of study design or reviews published from 2013 to 2021 were searched in Medline, Scopus, Embase, and ScienceDirect databases. EXPERT OPINION: The available data about the frequency of pediatric MEs at home varied from 30% to 80%. Current research suggests the risk of making a ME in pediatric patients at home may depend on the characteristics of the caregiver and may increase if a prescription contains ≥3 drugs. Findings conclude that providing dosing tools more closely matched to prescribed dose volumes, recommending the use of syringes as a measurement tool, and educational intervention for caregivers could be useful to reduce MEs. Concerning the reporting systems for pediatric MEs in the outpatient setting, no information was found.

Cost-effectiveness of point-of-care C-Reactive Protein test compared to current clinical practice as an intervention to improve antibiotic prescription in malaria-negative patients in Afghanistan.

BACKGROUND: Antimicrobial resistance (AMR) is a global health problem requiring a reduction in inappropriate antibiotic prescribing. Point-of-Care C-Reactive Protein (POCCRP) tests could distinguish between bacterial and non-bacterial causes of fever in malaria-negative patients and thus reduce inappropriate antibiotic prescribing. However, the cost-effectiveness of POCCRP testing is unclear in low-income settings. METHODS: A decision tree model was used to estimate cost-effectiveness of POCCRP versus current clinical practice at primary healthcare facilities in Afghanistan. Data were analysed from healthcare delivery and societal perspectives. Costs were reported in 2019 USD. Effectiveness was measured as correctly treated febrile malaria-negative patient. Cost, effectiveness and diagnostic accuracy parameters were obtained from primary data from a cost-effectiveness study on malaria rapid diagnostic tests in Afghanistan and supplemented with POCCRP-specific data sourced from the literature. Incremental cost-effectiveness ratios (ICERs) reported the additional cost per additional correctly treated febrile malaria-negative patient over a 28-day time horizon. Univariate and probabilistic sensitivity analyses examined the impact of uncertainty of parameter inputs. Scenario analysis included economic cost of AMR per antibiotic prescription. RESULTS: The model predicts that POCCRP intervention would result in 137 fewer antibiotic prescriptions (6%) with a 12% reduction (279 prescriptions) in inappropriate prescriptions compared to current clinical practice. ICERs were $14.33 (healthcare delivery), $11.40 (societal), and $9.78 (scenario analysis) per additional correctly treated case. CONCLUSIONS: POCCRP tests could improve antibiotic prescribing among malaria-negative patients in Afghanistan. Cost-effectiveness depends in part on willingness to pay for reductions in inappropriate antibiotic prescribing that will only have modest impact on immediate clinical outcomes but may have long-term benefits in reducing overuse of antibiotics. A reduction in the overuse of antibiotics is needed and POCCRP tests may add to other interventions in achieving this aim. Assessment of willingness to pay among policy makers and donors and undertaking operational trials will help determine cost-effectiveness and assist decision making.

The Combined Use of 5 or More Drugs Is a Factor Related to Lower Adherence to S-1 in S-1 and Oxaliplatin Treatment for Advanced Gastric Cancer.

S-1 plus oxaliplatin (SOX) is an established treatment for advanced gastric cancer. S-1 adherence is the key to successful SOX treatment. This study focused on S-1 adherence by evaluating real-world adherence to S-1 and investigating factors related to decreased S-1 adherence. This study included cases treated between August 1, 2014 and October 12, 2016 at the Cancer Institute Hospital of the Japanese Foundation for Cancer Research. The S-1 adherence rate per cycle was defined as the number of times a patient took S-1/28. In this study, adherence to S-1 was assessed through pill counts and by asking the patient about the reason for non-adherence at a pharmaceutical outpatient clinic. Univariate and multivariate analyses were performed to investigate factors influencing lower adherence. This analysis included 116 patients evaluated for adherence to S-1 on SOX treatment. The median rate of adherence to S-1 was 92.8% in the first cycle and 90.5% in the seventh cycle. The median relative dose intensity of S-1 was 84.6%. In terms of reasons for nonadherence, patients most commonly cited nausea/vomiting (43.7%), diarrhea (20.8%), missed dose (11.8%), and fever (8.1%). Logistic regression analysis was performed using the most appropriate regression equation, and a significant association was detected with 1 factor, number of combined drugs ≥5 (odds ratio (OR) = 2.50; 95% confidence interval (CI), 1.04-6.03, p = 0.04). Eliminating unnecessary concomitant medications helps maintain proper adherence to S-1 in SOX treatment.

Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources.

PURPOSE: In pharmacoepidemiology, correctly defining the exposure period of pharmacological treatment is a challenging step when information on the time in treatment is missing or incomplete. METHODS: In this review, we describe several methods for defining exposure to pharmacological treatments using secondary data sources that lack such information. RESULTS AND CONCLUSION: Several methods for assessing the duration of redeemed prescriptions and combining them into temporal sequences are available. We present a set of considerations to make researchers aware of the potentials and pitfalls of these methods that may aid in minimizing biases in research using these methods. Additionally, we highlight that, to date, there is no one-size-fits-all solution. Thus, the choice of method should be based on their area of applicability combined with a careful mapping to the research scenario under investigation.

Birds of a feather flock together: Comparing controlled pre-post designs.

OBJECTIVE: To formalize comparative interrupted time series (CITS) using the potential outcomes framework; compare two version of CITS-a standard linear version and one that adds postperiod group-by-time parameters-to two versions of difference-in-differences (DID)-a standard version with time fixed effects and one that adds group-specific pretrends; and reanalyze three previously published papers using these models. DATA SOURCES: Outcome data for reanalyses come from two counties' jail booking and release data, Medicaid prescription drug rebate data from the Centers for Medicare and Medicaid Services (CMS), and acute hepatitis C incidence from the Centers for Disease Control and Prevention. STUDY DESIGN: DID and CITS were compared using potential outcomes, and reanalyses were conducted using the four described pre-post study designs. DATA COLLECTION/EXTRACTION METHODS: Data from county jails were provided by sheriffs. Data from CMS are publicly available. Data for the third reanalysis were provided by the authors of the original study. PRINCIPAL FINDINGS: Though written differently and preferred by different research communities, the general version of CITS and DID with group-specific pretrends are the same: they yield the same counterfactuals and identify the same treatment effects. In a reanalysis with evidence of divergent preperiod trends, failing to account for this in standard DID led to an 84% smaller effect estimate than the more flexible models. In a second reanalysis with evidence of nonlinear outcome trends, failing to account for this in linear CITS led to a 28% smaller effect estimate than the more flexible models. CONCLUSION: We recommend detailing a causal model for treatment selection and outcome generation and the required counterfactuals before choosing an analytical approach. The more flexible versions of DID and CITS can accommodate features often found in real data, namely, nonlinearities and divergent preperiod outcome trends.

Mortality and concurrent use of opioids and hypnotics in older patients: A retrospective cohort study.

BACKGROUND: Benzodiazepine hypnotics and the related nonbenzodiazepine hypnotics (z-drugs) are among the most frequently prescribed medications for older adults. Both can depress respiration, which could have fatal cardiorespiratory effects, particularly among patients with concurrent opioid use. Trazodone, frequently prescribed in low doses for insomnia, has minimal respiratory effects, and, consequently, may be a safer hypnotic for older patients. Thus, for patients beginning treatment with benzodiazepine hypnotics or z-drugs, we compared deaths during periods of current hypnotic use, without or with concurrent opioids, to those for comparable patients receiving trazodone in doses up to 100 mg. METHODS AND FINDINGS: The retrospective cohort study in the United States included 400,924 Medicare beneficiaries 65 years of age or older without severe illness or evidence of substance use disorder initiating study hypnotic therapy from January 2014 through September 2015. Study endpoints were out-of-hospital (primary) and total mortality. Hazard ratios (HRs) were adjusted for demographic characteristics, psychiatric and neurologic disorders, cardiovascular and renal conditions, respiratory diseases, pain-related diagnoses and medications, measures of frailty, and medical care utilization in a time-dependent propensity score-stratified analysis. Patients without concurrent opioids had 32,388 person-years of current use, 260 (8.0/1,000 person-years) out-of-hospital and 418 (12.9/1,000) total deaths for benzodiazepines; 26,497 person-years,150 (5.7/1,000) out-of-hospital and 227 (8.6/1,000) total deaths for z-drugs; and 16,177 person-years,156 (9.6/1,000) out-of-hospital and 256 (15.8/1,000) total deaths for trazodone. Out-of-hospital and total mortality for benzodiazepines (respective HRs: 0.99 [95% confidence interval, 0.81 to 1.22, p = 0.954] and 0.95 [0.82 to 1.14, p = 0.513] and z-drugs (HRs: 0.96 [0.76 to 1.23], p = 0.767 and 0.87 [0.72 to 1.05], p = 0.153) did not differ significantly from that for trazodone. Patients with concurrent opioids had 4,278 person-years of current use, 90 (21.0/1,000) out-of-hospital and 127 (29.7/1,000) total deaths for benzodiazepines; 3,541 person-years, 40 (11.3/1,000) out-of-hospital and 64 (18.1/1,000) total deaths for z-drugs; and 2,347 person-years, 19 (8.1/1,000) out-of-hospital and 36 (15.3/1,000) total deaths for trazodone. Out-of-hospital and total mortality for benzodiazepines (HRs: 3.02 [1.83 to 4.97], p < 0.001 and 2.21 [1.52 to 3.20], p < 0.001) and z-drugs (HRs: 1.98 [1.14 to 3.44], p = 0.015 and 1.65 [1.09 to 2.49], p = 0.018) were significantly increased relative to trazodone; findings were similar with exclusion of overdose deaths or restriction to those with cardiovascular causes. Limitations included composition of the study cohort and potential confounding by unmeasured variables. CONCLUSIONS: In US Medicare beneficiaries 65 years of age or older without concurrent opioids who initiated treatment with benzodiazepine hypnotics, z-drugs, or low-dose trazodone, study hypnotics were not associated with mortality. With concurrent opioids, benzodiazepines and z-drugs were associated with increased out-of-hospital and total mortality. These findings indicate that the dangers of benzodiazepine-opioid coadministration go beyond the documented association with overdose death and suggest that in combination with opioids, the z-drugs may be more hazardous than previously thought.

Ontogeny of Drug-Metabolizing Enzymes.

Almost 50% of prescription drugs lack age-appropriate dosing guidelines and therefore are used "off-label." Only ~10% drugs prescribed to neonates and infants have been studied for safety or efficacy. Immaturity of drug metabolism in children is often associated with drug toxicity. This chapter summarizes data on the ontogeny of major human metabolizing enzymes involved in oxidation, reduction, hydrolysis, and conjugation of drugs. The ontogeny data of individual drug-metabolizing enzymes are important for accurate prediction of drug pharmacokinetics and toxicity in children. This information is critical for designing clinical studies to appropriately test pharmacological hypotheses and develop safer pediatric drugs, and to replace the long-standing practice of body weight- or surface area-normalized drug dosing. The application of ontogeny data in physiologically based pharmacokinetic model and regulatory submission are discussed.

Treatment patterns and appropriateness of antipsychotic prescriptions in patients with schizophrenia.

Schizophrenia is a chronic mental condition presenting a wide range of symptoms. Although it has a low prevalence compared to other mental conditions, it has a negative impact on social and occupational functions. This study aimed to assess the appropriateness of antipsychotic medications administered to schizophrenic patients and describe current treatment patterns for schizophrenia. A retrospective cohort study was conducted in all patients over the age of 15 with an active diagnosis of schizophrenia and treated with antipsychotics between 2008 and 2013 in the Valencia region. A total of 19,718 patients were eligible for inclusion. The main outcome assessed was inappropriateness of the pharmacotherapeutic management, including polypharmacy use. Altogether, 30.4% of patients received antipsychotic polypharmacy, and 6.8% were prescribed three or more antipsychotics. Overdosage affected 318 individuals (1.6%), and 21.5% used concomitant psychotropics without an associated psychiatric diagnosis. Women and people with a comorbid condition like anxiety or depression were less likely to receive antipsychotic polypharmacy. In contrast, increased polypharmacy was associated with concomitant treatment with other psychoactive drugs, and only in user on maintenance therapy, with more visits to the mental health hospital. Overall, we observed a high level of inappropriateness in antipsychotic prescriptions. Greater adherence to guidelines could maximize the benefits of antipsychotic medications while minimizing risk of adverse effects.

The European Medicines Agency Experience With Pediatric Dose Selection.

Getting the right dose regimen for children and adolescents is important but poses great scientific, practical, and ethical challenges. At the same time, the availability of data in adults is a huge advantage and needs to be used optimally when designing studies in children and analyzing pediatric data. Furthermore, the processes of maturation and growth are always key when selecting doses for children. All the above make study adaptations and model-informed approaches imperative for dose exposure-response characterization and dose selection in children. This article summarizes the experience gained in the European Medicines Agency on this topic and proposes some general guiding principles for defining objectives, study designs, and methodology tools for pediatric dose selection.

Model-Informed Pediatric Drug Development: Application of Pharmacometrics to Define the Right Dose for Children.

One of the biggest challenges in pediatric drug development is defining a safe and effective dose in pediatric populations, which span across a wide age and development range from neonates to adolescents. Model-informed drug development approaches are particularly suited to address knowledge gaps including data leveraging to increase the success of pediatric studies. Considering the often limited number of patients available for study and logistic difficulties to collect the necessary data in pediatric populations, the application of pharmacometrics and modeling and simulation techniques can improve clinical trial efficiency, increase the probability of regulatory success, and optimize therapeutic individualization in support of dedicated trials. This review describes the state of pediatric model-informed drug development to define the right dose for children and provides suggestions for future development.

Methods Used for Pediatric Dose Selection in Drug Development Programs Submitted to the US FDA 2012-2020.

Dosing is a critical aspect of drug development in pediatrics that has led to trial failures and the inability to label the drug for pediatric use by the US Food and Drug Administration. Developing a structured approach for pediatric dose selection requires knowledge of the current approaches and their success or failure. This study describes the current experience with pediatric dosing methods from 2012 to 2020 and had 2 primary objectives: (1) to identify how the initial pediatric dose was selected and (2) to identify the pivotal dosing strategy used to identify the initially selected dose for safety and efficacy for pediatric clinical trials. Through September 2020, a total of 275 pediatric drug development programs were characterized for initial and pivotal dosing strategies. The success rate for labeling for pediatric use was 76.4%. The most common initial dosing strategy was previous experience with the product, followed by allometric scaling and exposure matching with adults. The most common pivotal dosing strategy was titration to target response in 33% of programs, with the second and third most common being pharmacokinetic/pharmacodynamic studies (30%) and exposure matching (20%), respectively. Additionally, about one-half of pediatric programs incorporated model-informed drug development. The emergence of titration to target response may signal a shift toward precision medicine in pediatric patients. Future work in pediatric drug dose selection should move toward the development of a structured pediatric dose selection approach.

Status Toward the Implementation of Precision Dosing in Children.

Precision dosing is progressing beyond the conceptual and proof-of-concept stages toward implementation. As the availability of dosing algorithms, tools, and platforms increases, so do the investment in technology services and actual implementation of clinical services offering these solutions to patients. Nowhere is this needed more than in pediatric populations, which are still reliant on adult drug development and bridging strategies to support dosing, often in the absence of actual dose-finding studies in the target pediatric population. Still, there is more work to be done to ensure that proper governance of these services is maintained, and that sustainability of these early implementations is guided by new science as it evolves and meaningful outcome data to confirm that such services deliver on both clinical and economic return on investment. In addition, the field should ensure that all approaches beyond a therapeutic drug monitoring-driven, pharmacokinetic-centric approach should be considered as the tools and services evolve, especially when pediatric-specific pharmacokinetic/pharmacodyamic and pharmacogenetic data are available and shown to be useful to guide dosing. This review evaluates current pediatric precision dosing efforts, highlighting their utility, longevity, and sustainability and assesses the current process for implementing such approaches examining current barriers that stand in the way of broader implementation and the stakeholders that must engage to ensure its ultimate success.

Progress in Drug Development-Pediatric Dose Selection: Workshop Summary.

The "Pediatric Dose Selection" workshop was held in October 2020 and sponsored by the U.S. Food and Drug Administration and the University of Maryland Center for Excellence in Regulatory Science and Innovation. A summary of the presentations in the context of pediatric drug development is summarized in this article.