How Do Risk Evaluation and Mitigation Strategies Impact Clinical Practice? A National Survey of Physicians.

The US Food and Drug Administration can require risk evaluation and mitigation strategy (REMS) programs for prescription drugs to ensure the benefits of use outweigh the risks. We conducted a national survey of physicians' experiences prescribing eight REMS-covered drugs: (1) ambrisentan; (2) bosentan; (3) clozapine; (4) isotretinoin; (5-7) the multiple myeloma (MM) drugs lenalidomide, pomalidomide, thalidomide; and (8) sodium oxybate. Between May 2022 and January 2023, we surveyed 5,331 physician prescribers of these drugs, and 1,295 (24%) returned surveys (range: 149 for bosentan to 226 for MM drugs). Although 765 (68%) respondents thought the certification process provided useful drug information, 757 (67%) wanted materials to include benefit data and 944 (84%) non-REMS-related risk data. A majority (704, 63%) thought the safe use requirements facilitated discussion with patients, but a similar number (637, 57%) attributed delayed medication access to these requirements. In multivariable modeling, MM drug and isotretinoin respondents were less likely than sodium oxybate respondents to agree that the certification process provided useful drug information (MM drug: odds ratio (OR) = 0.37, 95% confidence interval (CI) = 0.25-0.55; isotretinoin: OR = 0.39, 95% CI = 0.25-0.61), and isotretinoin, clozapine, and bosetan respondents were more likely than sodium oxybate respondents to agree that the safe use requirements often delayed medication access (isotretinoin: OR = 5.83, 95% CI = 3.70-9.19; clozapine: OR = 1.65, 95% CI = 1.08-2.54; bosentan: OR = 1.78, 95% CI = 1.12-2.85). Most physicians believe REMS programs convey useful drug safety information and facilitate discussion with patients but also seek information on benefits and non-REMS-related risks and better integration of REMS processes into clinical workflows.

Healthcare providers' use of a concise summary to prescribe for lactating patients.

BACKGROUND: Most breastfeeding individuals take at least one prescription drug, yet limited data from lactation studies are available to inform the safety of these drugs during breastfeeding. As a result, healthcare providers (HCPs) rely on available information about safety of drugs used during pregnancy or on personal experiences to inform prescribing/counseling decisions for breastfeeding individuals. To improve risk communication regarding drugs used during lactation, the U.S. Food and Drug Administration published the Pregnancy and Lactation Labeling Rule (PLLR) in 2015, which added a narrative summary of available risk information to the lactation section of Prescribing Information (PI). Prior studies on labeling in PLLR format revealed that although HCPs found these details valuable, they regarded the narrative as too long to support decision-making during patient encounters. OBJECTIVE: This qualitative study's objective was to assess the utility of adding a concise summary to the Lactation subsection of PI to complement the narrative and succinctly communicate to busy HCPs a drug's risks when used during lactation. The concise summary consisted of a bolded headline, bulleted descriptions of available study findings and potential adverse reactions, and recommendations for risk mitigation. METHODS: Twenty-five online focus groups were conducted with five segments of HCPs to obtain their feedback on the concise summary and discuss their prescribing/counseling decisions for four fictitious prescription drugs including one vaccine. RESULTS: HCPs utilized the concise summary to make initial prescribing/counseling decisions. Many also used the labeling narrative for a comprehensive benefit-risk assessment. CONCLUSION: The findings indicate a need to continue to improve communication about safety of drugs used during lactation, and that the concise summary may help facilitate this communication. The study also highlights the need to educate HCPs about PI limitations when clinical data are lacking and the need to encourage clinical studies to be conducted to support actionable recommendations about use of prescription drugs during lactation.

The association between wealth and sleep medication use in a nationally-representative sample of older Medicare beneficiaries.

BACKGROUND: Sleep disorders are common among older adults, leading to high prevalence of over-the-counter and prescription sleep medication use. Socioeconomically disadvantaged individuals have higher prevalence of sleep disorders. Frequent use of sleep medications can increase the risk of falls. Little is known about the association between wealth and sleep medication use in older adults. METHODS: We conducted a cross-sectional analysis using a nationwide sample of 7603 Medicare beneficiaries (65+ years) from Round 1 (2011) of the National Health and Aging Trends Study. We measured self-reported wealth as the sum of assets (retirement savings, stocks/bonds, checking/savings accounts, business assets, and home value) minus liabilities (mortgage, credit card, and medical debt). Self-reported sleep medication use in the past month was categorized as frequent (5-7 nights/week), sometimes (1-4 nights/week), or never (0 night/week). We estimated differences in the prevalence of sleep medication use by quintiles of wealth using crude and adjusted binomial regression models. Individuals missing sleep medication information were excluded. RESULTS: Median wealth was $152 582 (IQR: $24 023-412 992). Sixteen percent reported frequent sleep medication use, 15% reported some use, and 70% reported no use. Frequent sleep medication use was more common in lower wealth quintiles (lowest: 20%, highest: 12%). Alternatively, some use was more common in higher wealth quintiles (lowest: 11%, highest: 18%). Results were similar after adjustment for demographic factors, anxiety, depression, and sleep disorders. CONCLUSIONS: In this study, less wealthy older adults had higher prevalence of frequent sleep medication use. This may lead to dependency or increased fall risk in this vulnerable population.

Lack of information on gender differences in the package inserts of prescription drugs in Japan.

The package inserts of prescription drugs provide essential information for the proper administration of pharmacotherapy. The incidence of adverse reactions for several drugs is known to be higher in women than in men. However, no studies have examined whether information on gender differences is included in Japanese package inserts. Therefore, this study investigated information on gender differences in the package inserts of Japanese prescription drugs, using the drug information database JAMES provided by the Medical Information System Development Center and the Japan Pharmaceutical Information Center. Non-proprietary names of prescription drugs were yielded 1,679 in Japan. Of the 1,679 ingredients in package inserts of prescription drugs, 76 (4.5%) included information on gender differences. The number of inserts that contained information on gender differences in the "DOSAGE AND ADMINISTRATION," "ADVERSE REACTIONS," and "PHARMACOKINETICS" sections was 3, 16, and 62, respectively. Furthermore, in the "ADVERSE REACTIONS" section, 15 of the 16 inserts mentioned a higher frequency of adverse reactions in women compared with men. Importantly, most of the inserts with information on gender differences in the "PHARMACOKINETICS" section mentioned a higher area under the curve for women than for men. Most of the package inserts of prescription drugs with information on gender differences provide useful information aimed at preventing risks in women. However, there is an extreme lack of information on gender differences in the package inserts of prescription drugs in Japan, and we consider enhancing information on gender difference as an urgent issue.

Perfil do consumo dos benzodiazepínicos nos anos de 2019 e 2020 no brasil e regiões / Profile of the benzodiazepines in the years 2019 e 2020 in Brazil and regions / Perfil de consume y hospitalizaciones de los benzodiacepinas en los años 2019 y 2020 enBrasil y regiones

Os benzodiazepínicos estão entre os medicamentos mais prescritos, principalmente em países ocidentais, onde estimativas mostram um consumo anual de 1% a 3% da população.Objetivo:Estudar o perfil do consumo dos benzodiazepínicosnos anos de 2019-2020. Metodologia:Foram estudadas a taxa de desocupação segundo o Instituto Brasileiro de Geografia e Estatística, consumo dos benzodiazepínicosa partir do Sistema Nacional de Gerenciamento de Produtos Controlados da Agencia de Vigilância Sanitáriae quantidade de internações por envenenamento com exposição (acidental ou proposital), auto-intoxicação e efeitos adversos aos anticonvulsivantes, sedativos, hipnóticos, antiparkinsonianos e psicotrópicos segundo o Departamento de Informática do Sistema Único de Saúde no Brasil. Resultados:A região Norte e Nordeste apresentou um aumento na taxa de desocupação. O rendimento nominal mensal domiciliar per capitada população residente nas regiões Norte e Nordeste se manteveabaixo de 01 salário-mínimo nos anos de 2019 e 2020. De 2019 para 2020, o princípio ativo mais utilizado dos benzodiazepínicos industrializados foi o Clonazepam com incremento de 9,81% no Brasil e 22,52% na região Nordeste. Todas as formas farmacêuticas manipuladas apresentaram umaredução no consumo de 2019 para 2020, com exceção da forma em mililitros que apresentou um incremento para o bromazepam (42,1%), clonazepam (8,76%) e diazepam (5,27%). De 2020 em relação a 2019, ocorreu um incrementode 119,05% e 25% nas regiões Nordeste e Centro-Oeste, respectivamente, nasinternações por envenenamento [intoxicação] por exposição, a anticonvulsivantes (antiepilépticos), sedativos, hipnóticos, antiparkinsonianos e psicotrópicos não classificados em outra parte, intenção não determinada. Conclusões:Ocorreu um aumento no consumo de benzodiazepínicosindustrial no ano de 2020 sendo o envenenamento [intoxicação] umadas principais causasde internação. Há necessidade de um controle do consumo e vigilância aos psicotrópicos visto que estes fármacos estão dentre aqueles com risco de internações devido àexposição acidental ou não, autointoxicaçãoou efeitos adversos (AU).

Benzodiazepines are among the most prescribed drugs, especially in Western countrieswhere estimates show an annual consumption of 1% to 3% of the population.Objective: To study the profile of benzodiazepinesconsumptionfrom the National Controlled Products Management System of the Sanitary Surveillance Agencyin the years 2019 and 2020.Methodology:The unemployment rate,according to theBrazilian Institute of Geography and Statistics,benzodiazepines consumptionfrom the National Controlled Products Management System of the Sanitary Surveillance Agency, and the number of hospitalizations due to poisoning with exposure (accidental or intentional), self-intoxication, and adverse effects to anticonvulsants, sedatives, hypnotics, antiparkinsonian drugs and psychotropic drugs according to the Department of Informatics of the Unified Health System in Brazil were studied.Results:The North and Northeast regions showed an increase in the unemployment rate. The nominal monthly household income per capita of the population residing in the North and Northeast regions remained below 01 minimum wage in the years 2019 and 2020. From 2019 to 2020, the most used active substanceof industrialized benzodiazepines was Clonazepam with an increase of 9.81% in Brazil and 22.52% in the Northeast region. All compounded pharmaceutical forms showed a reduction in consumption from 2019 to 2020, with the exception of the form in milliliters which showed an increase for bromazepam (42.1%), clonazepam (8.76%) and diazepam (5.27%). In 2020 compared to 2019, there was an increase of 119.05% and 25% in the Northeast and Midwest regions, respectively, in hospitalizations for poisoning[intoxication] due to exposure toanticonvulsants (antiepileptics), sedatives, hypnotics, antiparkinsonian drugs,and psychotropic drugs not elsewhere classified with intent undetermined.Conclusions:There was an increase in the consumption of industrial benzodiazepines in 2020, with poisoning [intoxication] being one of the main causes of hospitalization. There is a need to control the consumption andincrease the surveillance of psychotropic drugs becausethese drugs are among those that involverisk of hospitalization due to accidental or non-accidental exposure, self-intoxication or adverse effects (AU).

ntroducción: Las benzodiacepinas se encuentran entre los fármacos más recetados, especialmente en los países occidentales, donde se estima que de 1% al 3% de la poblaciónde estos países los consumen. Objetivo: Estudiar el perfil del consumo de benzodiacepinas en los años 2019-2020.Metodología: Se midieron la tasa de desempleo según elInstituto Brasileño de Geografía y Estadística, el consumo de benzodiacepinasdel Sistema Nacional de Gestión de Productos Controlados de la Agencia de Vigilancia Sanitariay el número de hospitalizaciones por intoxicación con exposición (accidental o intencional), además se estudiaron autointoxicaciones y efectos adversos a los anticonvulsivos, sedantes, hipnóticos, drogas contra el mal de Parkinsony psicotrópicossegún elDepartamento de Informática del Sistema Único de Salud de Brasil.Resultados: Las regiones Norte y Nordeste presentaron aumento de la tasa de desempleo. El ingreso nominal mensual de los hogares per cápita de la población residente en las regiones Norte y Nordeste se mantuvo por debajo de 01 salario mínimo en los años 2019-2020. De 2019 a 2020, el principio activo más utilizado de las benzodiacepinas industrializadas fue el clonazepam con un aumento de 9,81% en Brasil y de22,52% en la región Nordeste. Todas las formas farmacéuticas compuestas mostraron una reducción en su consumo de 2019-2020, a excepción de la forma en mililitros que mostró un aumento para bromazepam (42,1%), clonazepam (8,76%) y diazepam (5,27%). En 2020 respecto a 2019, hubo un aumento del 119,05% y 25% en las regiones Noreste y Medio Oeste, respectivamente, en las hospitalizaciones por intoxicación por exposición aanticonvulsivos (antiepilépticos), sedantes, hipnóticos, drogas contra el mal de Parkinsony psicofármacos no clasificados en otra parte conintención indeterminada.Conclusiones: Hubo un aumento en el consumo de benzodiacepinas industriales en 2020, siendo las intoxicaciones una de las principales causas de hospitalización. Existe la necesidad de controlar el consumo y vigilancia de los psicofármacos, ya que estos fármacos se encuentran entre los de riesgo de hospitalización por exposición accidental o no accidental, autointoxicación o efectos adversos (AU).

Clinical Lactation Studies of Neuropsychiatric Medications: Clinical Pharmacology and Labeling Considerations.

The availability of clinical pharmacology and safety data regarding the use of prescription medications in pregnant and lactating individuals has been historically limited, despite significant efforts to improve the quantity and quality of the information in labeling. The Food and Drug Administration's (FDA) Pregnancy and Lactation Labeling Rule took effect on June 30, 2015, and updated information in labeling to more clearly describe available data to assist health care providers in counseling pregnant and lactating individuals. Additionally, the FDA published a revised draft guidance, "Clinical Lactation Studies: Considerations for Study Design," to provide pharmaceutical companies and investigators with information about how and when to conduct lactation studies. Clinical pharmacology information derived from lactation studies is important in determining the presence of medications in breast milk and counseling lactating individuals regarding the potential of medication exposure in the breast milk and its attendant risks to the breastfed infant. Examples of Pregnancy and Lactation Labeling Rule labeling changes that resulted from dedicated clinical lactation studies for certain neuropsychiatric medications are described in this publication. These medications are discussed because neuropsychiatric conditions commonly affect women of reproductive potential, including lactating individuals. As the FDA guidance and these studies illustrate, bioanalytical method validation, study design, and data analysis considerations are essential for obtaining quality lactation data. Well-designed clinical lactation studies play an important role in informing product labeling that ultimately is useful to health care providers in making prescribing decisions with lactating individuals.

Prevalence and correlates of high-dose opioid use among survivors of head and neck cancer.

BACKGROUND: We characterized prescription opioid medication use up to 2 years following the head and neck cancer (HNC) diagnosis and examined associations with moderate or high daily opioid prescription dose. METHODS: Using administrative data from Veterans Health Administration, we conducted a retrospective cohort analysis of 5522 Veterans treated for cancers of the upper aerodigestive tract between 2012 and 2019. Data included cancer diagnosis and treatments, pain severity, prescription opioid characteristics, demographics, and other clinical factors. RESULTS: Two years post-HNC, 7.8% (n = 428) were receiving moderate or high-dose opioid therapy. Patients with at least moderate pain (18%, n = 996) had 2.48 times higher odds (95% CI = 1.94-3.09, p < 0.001) to be prescribed a moderate opioid dose or higher at 2 years post diagnosis. CONCLUSIONS: Survivors of HNC with at least moderate pain were at elevated risk of continued use of moderate and high dose opioids.

Patterns of Prescription Medication Use during the First Trimester of Pregnancy in the United States, 1997-2018.

The objective of this analysis was to describe patterns of prescription medication use during pregnancy, including secular trends, with consideration of indication, and distributions of use within demographic subgroups. We conducted a descriptive secondary analysis using data from 9,755 women whose infants served as controls in two large United States case-control studies from 1997-2011 and 2014-2018. After excluding vitamin, herbal, mineral, vaccine, i.v. fluid, and topical products and over-the-counter medications, the proportion of women that reported taking at least one prescription medication in the first trimester increased over the study years, from 37% to 50% of women. The corresponding proportions increased with increasing maternal age and years of education, were highest for non-Hispanic White women (47%) and lowest for Hispanic women (24%). The most common indication for first trimester use of a medication was infection (12-15%). Increases were observed across the years for medications used for indications related to nausea/vomiting, depression/anxiety, infertility, thyroid disease, diabetes, and epilepsy. The largest relative increase in use among women was observed for medications to treat nausea/vomiting, which increased from 3.8% in the earliest years of the study (1997-2001) to 14.8% in 2014-2018, driven in large part by ondansetron use. Prescription medication use in the first trimester of pregnancy is common and increasing. Many medical conditions require treatments among pregnant women, often involving pharmacotherapy, which necessitates consideration of the risk and safety profiles for both mother and fetus.

Trends in Emergency Department Visits for Unsupervised Pediatric Medication Exposures.

INTRODUCTION: Emergency department visits and hospitalizations for unsupervised medication exposures among young children increased in the early 2000s. Prevention efforts were initiated in response. METHODS: Nationally representative data from the National Electronic Injury Surveillance System-Cooperative Adverse Drug Event Surveillance project collected from 2009 to 2020 were analyzed in 2022 to assess overall and medication-specific trends in emergency department visits for unsupervised exposures among children aged ≤5 years. RESULTS: From 2009 to 2020, there were an estimated 677,968 (95% CI=550,089, 805,846) emergency department visits for unsupervised medication exposures among children aged ≤5 years in the U.S. Most visits involved children aged 1-2 years (2009-2012 [70.3%], 2017-2020 [67.4%]), and nearly one half involved prescription solid medications (2009-2012 [49.4%], 2017-2020 [48.1%]). The largest declines in estimated numbers of annual visits from 2009-2012 to 2017-2020 were for exposures involving prescription solid benzodiazepines (-2,636 visits, -72.0%) and opioids (-2,596 visits, -53.6%) and over-the-counter liquid cough and cold medications (-1,954 visits, -71.6%) and acetaminophen (-1,418 visits, -53.4%). The estimated number of annual visits increased for exposures involving over-the-counter solid herbal/alternative remedies (+1,028 visits, +65.6%), with the largest increase for melatonin exposures (+1,440 visits, +421.1%). Overall, the estimated number of visits for unsupervised medication exposures decreased from 66,416 in 2009 to 36,564 in 2020 (annual percentage change= -6.0%). Emergent hospitalizations for unsupervised exposures also declined (annual percentage change= -4.5%). CONCLUSIONS: Declines in estimated emergency department visits and hospitalizations for unsupervised medication exposures from 2009 to 2020 coincided with renewed prevention efforts. Targeted approaches may be needed to achieve continued declines in unsupervised medication exposures among young children.

Attention to risk information in direct-to-consumer prescription drug print ads: An eye-tracking study.

PURPOSE: FDA regulations state print ads for prescription drugs must provide a true statement of information "in brief summary" describing "side effects, contraindications and effectiveness." To fulfill these requirements, these ads typically display risk information both as important safety information (ISI) on the "main" ad page with the product claims and on a separate "brief summary" page. The ISI can be lengthy and may repeat brief summary content. METHODS: The authors tested two versions of the ISI (short versus long) and the presence or absence of a brief summary in direct-to-consumer prescription drug print ads for two medical conditions: overactive bladder (N = 181) and rheumatoid arthritis (N = 179). Attention was measured with eye-tracking and self-report methods. Risk retention and perceptions were self-reported. RESULTS: Participants spent more time viewing ads with a long ISI or a brief summary and in some instances, recalled more risks. The combination of a long ISI and a brief summary did not increase or decrease attention to or retention of risk information. CONCLUSION: A long ISI and a brief summary may perform similar functions.

Adherence to prescription medication during pregnancy: Do pregnant women use pharmacological treatment as prescribed?

AIMS: Pregnant women are hypothesized to have low adherence to prescribed medication, because of concerns about harmful effects on the unborn child. However, very little is known about the actual adherence to prescribed medication during pregnancy. We determined to what extent women follow treatment recommendations regarding prescribed medication use in mid-pregnancy. METHODS: Dutch women participating in the PRIDE Study completed a 6-week diary on medication use. Additionally, pharmacy records were obtained. For each medication dispensed, we determined 3 measures of adherence: (i) whether use was reported in the diary (actual use); (ii) difference between dispensing date and date of first reported use (initiation time); and (iii) proportion of days with at least the correct number of doses taken (implementation adherence). RESULTS: During the 6-week study period, 235 of 816 women (29%) were dispensed medication. Actual use was highest for medications used for chronic conditions (88%; 95% confidence interval [95% CI] 81-93), followed by medication for pregnancy-related conditions (79%; 95% CI 71-86) and medication for occasional and short-time use (69%; 95% CI 60-77). We observed a ≥1-day delay in treatment initiation for 42% of medications dispensed for the first time in the study period. Mean implementation adherence was 74.2% (95% CI 69.3-79.2) for medications that were actually used. CONCLUSION: Although actual use of medications dispensed was high, many pregnant women did not adhere to treatment recommendations. This nonadherence may impact maternal and child health and lead to overestimation of medication use in studies in perinatal pharmacoepidemiology relying on administrative databases.

Generating synthetic data from administrative health records for drug safety and effectiveness studies.

Introduction: Administrative health records (AHRs) are used to conduct population-based post-market drug safety and comparative effectiveness studies to inform healthcare decision making. However, the cost of data extraction, and the challenges associated with privacy and securing approvals can make it challenging for researchers to conduct methodological research in a timely manner using real data. Generating synthetic AHRs that reasonably represent the real-world data are beneficial for developing analytic methods and training analysts to rapidly implement study protocols. We generated synthetic AHRs using two methods and compared these synthetic AHRs to real-world AHRs. We described the challenges associated with using synthetic AHRs for real-world study. Methods: The real-world AHRs comprised prescription drug records for individuals with healthcare insurance coverage in the Population Research Data Repository (PRDR) from Manitoba, Canada for the 10-year period from 2008 to 2017. Synthetic data were generated using the Observational Medical Dataset Simulator II (OSIM2) and a modification (ModOSIM). Synthetic and real-world data were described using frequencies and percentages. Agreement of prescription drug use measures in PRDR, OSIM2 and ModOSIM was estimated with the concordance coefficient. Results: The PRDR cohort included 169,586,633 drug records and 1,395 drug types for 1,604,734 individuals. Synthetic data for 1,000,000 individuals were generated using OSIM2 and ModOSIM. Sex and age group distributions were similar in the real-world and synthetic AHRs. However, there were significant differences in the number of drug records and number of unique drugs per person for OSIM2 and ModOSIM when compared with PRDR. For the average number of days of drug use, concordance with the PRDR was 16% (95% confidence interval [CI]: 12%-19%) for OSIM2 and 88% (95% CI: 87%-90%) for ModOSIM. Conclusions: ModOSIM data were more similar to PRDR than OSIM2 data on many measures. Synthetic AHRs consistent with those found in real-world settings can be generated using ModOSIM. Synthetic data will benefit rapid implementation of methodological studies and data analyst training.

Drug purchases prior to conception and the risk of gestational diabetes mellitus.

OBJECTIVE: Some drugs have adverse effects on glucose metabolism, but it is unknown whether prescription drugs used prior to conception influence the future risk of gestational diabetes mellitus (GDM). Our study evaluated whether the purchase of prescription drugs 6 months prior to conception was associated with the occurrence of GDM. METHODS: This cohort study enrolled women with a Finnish background who delivered between 2009 and 2015 in the city of Vantaa, Finland (N = 10,455). Data on maternal characteristics and prescription drug purchases were obtained from national health registers. The use of a unique personal identification number enabled us to combine the register data on an individual level. RESULTS: Six months prior to conception, women who had pregnancies complicated by GDM purchased more prescription drugs than women without GDM (1.38 ± 2.04 vs. 1.11 ± 1.80). The GDM risk was higher in women with higher numbers of prescription purchases and those with more than three deliveries. CONCLUSIONS: Multiparous women who purchase several prescription drugs should be given personalized counseling to prevent GDM.

A medication-wide association study (MWAS) on repurposed drugs for COVID-19 with Pre-pandemic prescription medication exposure and pregnancy outcomes.

Information on effects of medication therapies during pregnancy is lacking as pregnant patients are often excluded from clinical trials. This retrospective study explores the potential of using electronic health record (EHR) data to inform safety profiles of repurposed COVID medication therapies on pregnancy outcomes using pre-COVID data. We conducted a medication-wide association study (MWAS) on prescription medication exposures during pregnancy and the risk of cesarean section, preterm birth, and stillbirth, using EHR data between 2010-2017 on deliveries at PennMedicine. Repurposed drugs studied for treatment of COVID-19 were extracted from ClinicalTrials.gov (n = 138). We adjusted for known comorbidities diagnosed within 2 years prior to birth. Using previously developed medication mapping and delivery-identification algorithms, we identified medication exposure in 2,830 of a total 63,334 deliveries; from 138 trials, we found 31 medications prescribed and included in our cohort. We found 21 (68%) of the 31 medications were not positively associated with increased risk of the outcomes examined. With caution, these medications warrant potential for inclusion of pregnant individuals in future studies, while drugs found to be associated with pregnancy outcomes require further investigation. MWAS facilitates hypothesis-driven evaluation of drug safety across all prescription medications, revealing potential drug candidates for further research.

Poly-De-Prescribing to Treat Polypharmacy: Lowering the Flames of the First Iatrogenic Epidemic.

BACKGROUND: There has been a rapid increase in vulnerable subpopulations of very old with co-morbidity, dementia, frailty, and limited life expectancy. Being treated by many specialists has led to an epidemic of inappropriate medication use and polypharmacy (IMUP) with negative medical and economic consequences. For most medications there are no evidence-based studies in older people and treatments are based on guidelines proven in much younger/healthier populations. OBJECTIVES: To evaluate whether the benefits of reducing IMUP by poly-de-prescribing (PDP) outweighs the negative outcomes in older people with polypharmacy. METHODS: The Garfinkel method and algorithm were used in older people with polypharmacy (≥ 6 prescription drugs). RESULTS: We found that in nursing departments, of 331 drugs de-prescribed only 32 (10%) had to be re-administered. Annual mortality and severe complications requiring referral to acute care facility were significantly reduced in PDP (P < 0.002). In community dwelling older people, successful de-prescribing was achieved in 81% with no increase in adverse events or deaths. Those who de-prescribed ≥ 3 prescription drugs showed significantly more improvement in functional and cognitive status, sleep quality, appetite, serious complications, quality of life, and general satisfaction compared to controls who stopped ≤ 2 medications (P < 0.002). Rates of hospitalization and mortality were comparable. Clinical improvement by polydeprescribing was usually evident within 3 months and persisted for several years. The main barrier to polydeprescribing was physician's unwillingness to deprescribe (P < 0.0001). CONCLUSIONS: Applying the Garfinkel method of PDP may improve the lives of older people and save money.

Factors influencing changes in medication-taking and driving behavior after warnings about prescription medications that prohibit driving: an online survey.

BACKGROUND: This study examined warning messages as a strategy for preventing automobile crashes by drivers on medications. We investigated the degree of awareness regarding the effects of medication on automobile driving and changes in medication-taking and driving behavior. We also assessed associations between socio-environmental factors and the driving and medication-taking behavior adopted by individuals after being warned about driving-related risks. METHODS: Responses to an online questionnaire from 1200 people with a driving license who were taking prescription medications at the time of inquiry (March 2019) were collected and analyzed. The items surveyed were sex, age, educational history, health literacy, current medications, and medication-taking and driving behavior after being warned. RESULTS: Of the total respondents, 30% were taking medicine that prohibited driving. Of those taking prohibited medications, 25.7% did not receive a warning about driving from healthcare professionals. Most respondents taking prohibited medications received euphemistic warnings, such as "practice caution" (30%), "refrain from calling attention" (29.4%), and "avoid driving" (19.8%); 16% of the direct warnings were about not driving. Medication's effects on driving were recognized by 80% of the total respondents. The degree of awareness was significantly higher among respondents taking medications that prohibit driving than among those taking medications that did not prohibit driving or those taking unknown medications. Awareness of medicine's influence on driving was associated with health literacy. No association was found between age, gender, health literacy, history of side effects, and driving and medication-taking behavior. Approximately 22% of respondents adjusted their medication use at their discretion and 39% maintained treatment compliance but continued driving. Among respondents taking medications that prohibit driving, whether driving was required for work was a significant factor in their driving and medication-taking behavior after being warned. CONCLUSIONS: Healthcare professionals do not always fully inform patients about the driving-related risks of medications. To encourage patients who are taking medications that have a significant impact on their driving to either stop driving or consult a healthcare professional, healthcare professionals must first understand the patient's social environment, such as whether driving is required for work, and then create an environment conducive to advice-seeking.

A flexible mixed-data model applied to claims data for post-market surveillance of prescription drug safety behavior.

We develop a new modeling framework for jointly modeling first prescription times and the presence of risk-mitigating behavior for prescription drugs using real-world data. We are interested in active surveillance of clinical quality improvement programs, especially for drugs which enter the market under an FDA-mandated Risk Evaluation and Mitigation Strategy (REMS). Our modeling framework attempts to jointly model two important aspects of prescribing, the time between a drug's initial marketing and a patient's first prescription of that drug, and the presence of risk-mitigating behavior at the first prescription. First prescription times can be flexibly modeled as a mixture of component distributions to accommodate different subpopulations and allow the proportion of prescriptions that exhibit risk-mitigating behavior to change for each component. Risk-mitigating behavior is defined in the context of each drug. We develop a joint model using a mixture of positive unimodal distributions to model first prescription times, and a logistic regression model conditioned on component membership to model the presence of risk-mitigating behavior. We apply our model to two recently approved extended release/long-acting (ER/LA) opioids, which have an FDA-approved blueprint for best prescribing practices to inform our definition of risk-mitigating behavior. We also apply our methods to simulated data to evaluate their performance under various conditions such as clustering.

Strategies to Manage Drugs and Devices Approved Based on Limited Evidence: Results of a Modified Delphi Panel.

Prescription drugs and medical devices are increasingly coming to market through expedited US Food and Drug Administration (FDA) pathways that require only limited evidence of safety and efficacy, such as nonrandomized, unblinded trial data in small numbers of patients, or the use of surrogate end points. Reliance on more limited evidence means that there is often greater uncertainty about risks and benefits. Using a modified Delphi process, we sought to identify promising policy approaches that address physician-patient decision-making needs about the use of such drugs and medical devices. We convened 13 national leaders from academia, government, nonprofits, payors, and industry who had expertise in medical product regulation, payor policymaking, bioethics, physician practice, patient advocacy, public health expertise/advocacy, clinical trials, the pharmaceutical and device industry, institutional review board oversight, and real-world evidence. Through multiple rounds of voting and meetings focused on evaluating the feasibility and impact of various interventions, the 13 participants reached the broadest consensus on 4 interventions: strengthening FDA post-approval study requirements to ensure postmarket evidence is generated in a timely manner, better informing patients about the risks and benefits and level of evidence supporting therapies via simplified and patient-centered product information "boxes" modeled on nutrition labels, limiting prices for drugs and medical devices approved based on surrogate end point data until confirmatory clinical evidence is generated, and improving health professional education about FDA regulation to better support clinician use of drugs and devices as well as communication with patients.

Misuse of prescription medicines is as prevalent as the use of recreational drugs and novel psychoactive substances in Singapore: an unrecognised public health issue?

Introduction: Misuse of prescription medicines and the harms associated with such use are growing threats across the world. There is currently, however, limited data on the extent of prescription medicine misuse in Singapore and whether this is a current threat in the country. Methods: An online survey, limited to 1,000 individuals (aged 21 years and over) who were residents in Singapore, was administered through a survey panel company in September 2015. The survey collected information on participant demographics, and their awareness, self-reported lifetime and past-year misuse of commonly available prescription medicines in Singapore as well as the use of a range of recreational drugs and novel psychoactive substances (NPS). Results: Lifetime (6.7%) and past-year (4.8%) misuse of any prescription medicine was comparable to lifetime (6.0%) and past-year (3.0%) use of any recreational drugs/NPS. The top five prescription medicines for lifetime misuse were: diazepam (2.7%); codeine (2.3%); dhasedyl (promethazine, codeine and ephedrine; 1.6%); panadeine (paracetamol and codeine; 1.5%); and methylphenidate (1.2%). The top five drugs for past-year misuse were: diazepam (1.6%); codeine (0.9%); panadeine (0.7%); alprazolam (0.6%); baclofen (0.6%); and gabapentin (0.6%). Conclusion: Misuse of prescription medicine in Singapore was common, with prevalence comparable to the use of recreational drugs/NPS. A common source for misused drugs was physicians. Further studies are required to determine whether this is more widespread in Singapore and establish the different forms of drug diversion, so that appropriate prevention strategies can be implemented.

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.