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Background: Patients with schizophrenia (SZ) or bipolar disorder (BD) may have increased risk of complications from prescribed opioids, including opioid-induced respiratory depression. We compared prescription opioid pain medication dispensing for patients with SZ or BD versus controls over 5 years to assess dispensing trends. Methods: This retrospective, observational study analysed US claims data from the IBM® MarketScan® Commercial and Multi-State Medicaid databases for individuals aged 18–64 years with prevalent SZ or BD for years 2015–2019 compared with age- and sex-matched controls. Baseline characteristics, comorbidities, and medication use were assessed. Proportions of individuals dispensed prescription opioids chronically (ie, ≥70 days over a 90-day period or ≥ 6 prescriptions annually) or nonchronically (≥1 prescription, chronic definition not met) were assessed. Results: In 2019, the Commercial and Medicaid databases contained records for 4773 and 30,179 patients with SZ and 52,780 and 63,455 patients with BD, respectively. Patients with SZ or BD had a higher prevalence of comorbidities, including pain, versus controls in each analysis year. From 2015 to 2019, among commercially insured patients with SZ, chronic opioid-dispensing proportions decreased from 6.1% (controls: 2.7%) to 2.3% (controls: 1.2%) and, for patients with BD, from 11.4% (controls: 2.7%) to 6.4% (controls: 1.6%). Chronic opioid dispensing declined in Medicaid-covered patients with SZ from 15.0% (controls: 14.7%) to 6.7% (controls: 6.0%) and, for patients with BD, from 27.4% (controls: 12.0%) to 12.4% (controls: 4.7%). Among commercially insured patients with SZ, nonchronic opioid dispensing decreased from 15.5% (controls: 16.4%) to 10.7% (controls: 11.0%) and, for patients with BD, from 26.1% (controls: 17.5%) to 20.0% (controls: 12.2%). In Medicaid-covered patients with SZ, nonchronic opioid dispensing declined from 22.5% (controls: 24.4%) to 15.1% (controls: 12.7%) and, for patients with BD, from 32.3% (controls: 25.9%) to 24.6% (controls: 13.6%). Conclusions: The proportions of individuals dispensed chronic or nonchronic opioid medications each year were similar between commercially and Medicaid-insured patients with SZ versus controls and were higher for patients with BD versus controls. From 2015 to 2019, the proportions of individuals who were dispensed prescription opioids chronically or nonchronically decreased for patients with SZ or BD and controls. [ABSTRACT FROM AUTHOR]

Context: The False Claims Act is the US federal government's primary tool for identifying and penalizing pharmaceutical fraud. The Department of Justice uses the False Claims Act to bring civil cases against drug manufacturers that allegedly obtain improper payment from federal programs. Methods: The authors searched the Department of Justice website for press releases published between 2006 and 2022 that announced fraud actions brought against drug companies. They then used the World Health Organization's Anatomical Therapeutic Classification index to identify the classes of prescription drugs implicated in fraud actions. Findings: During fiscal years 2006–2022, payments by six manufacturers amounted to more than 28% of total payments made as a result of federal False Claims Act actions. Nervous system and cardiovascular drugs were the classes of medications most commonly implicated in alleged fraud. Federal officials most frequently alleged that companies improperly promoted nervous system drugs and paid kickbacks to increase revenues from cardiovascular, antineoplastic and immunomodulating, and alimentary tract and metabolism drugs. Conclusions: Despite frequent pharmaceutical fraud settlements and penalties, incidence of alleged fraud among drug companies remains high. Alternative methods for preventing and deterring fraud could help safeguard our health systems and promote public health, and policy makers should ensure that effective fraud enforcement complements preventive public health regulation. [ABSTRACT FROM AUTHOR]

Psychotropic and somatic medications are both used in treating severe mental disorders (SMDs). Realistic estimates of the prevalence of use across medication categories are needed. We obtained this in a clinical cohort of patients with SMD and healthy controls (HCs). Prescriptions filled at Norwegian pharmacies the year before and after admittance to the Thematically Organized Psychosis (TOP) study were examined in 1406 patients with SMD (mean age 32.5 years, 48.2% women) and 920 HC (34.1 years, 46.2% women). Using data from the Norwegian Prescription Database (NorPD), the number of users in different anatomical therapeutic chemical (ATC) categories was compared using logistic regression. Population estimates were used as reference data. Use of antipsychotics (N05A), antiepileptics (N03A), antidepressants (N06A), anxiolytics (N05B), hypnotics and sedatives (N05C), anticholinergics (N04A), psychostimulants, attention deficit hyperactivity disorder and nootropic agents (N06B) and drugs for addiction disorders (N07B) was significantly more prevalent in patients with SMD than HC. Use of diabetes treatment (A10), antithrombotic drugs (B01), beta blockers (C07), lipid modifiers (C10), and thyroid and endocrine therapeutics (H03) was also more prevalent in patients with SMD, but with two exceptions somatic medication use was comparable to the general population. Among HC, there was low prevalence of use for most medication categories. Patients were using psychiatric medications, but also several types of somatic medications, more often than HC. Still, somatic medication use was mostly not higher than in the general population. The results indicate that HC had low use of most medication types. [ABSTRACT FROM AUTHOR]

This study examined how interruptions in insurance coverage affect purchases of prescription drugs for young adults. It used data spanning 2014 to 2018 from Kentucky's prescription drug monitoring program, which tracked the universe of federally-regulated (Schedule II–V) prescription drugs dispensed in the state. The study employed a regression discontinuity design based on the age limit at 26 for dependent insurance coverage for children. At age 26, the probability of purchasing a prescription decreased by 5%, with all subcategories of prescriptions affected. The share of generic prescriptions increased for stimulants (the only category observed with substantial branded prescriptions). By age 27, prescription purchases returned to levels observed at 25, but the share purchased with public insurance and the generic share for stimulants remained higher. The findings suggest that interruptions in insurance coverage decrease prescription drug utilization by young adults and that public insurance programs such as Medicaid are important for resuming treatment. [ABSTRACT FROM AUTHOR]

Prescription drug cost-sharing is a barrier to medication adherence, particularly for low-income and minority populations. In this systematic review, we examined the impact of prescription drug cost-sharing and policies to reduce cost-sharing on racial/ethnic and income disparities in medication utilization. We screened 2,145 titles and abstracts and identified 19 peer-reviewed papers that examined the interaction between cost-sharing and racial/ethnic and income disparities in medication adherence or utilization. We found weak but inconsistent evidence that lower cost-sharing is associated with reduced disparities in adherence and utilization, but studies consistently found that significant disparities remained even after adjusting for differences in cost-sharing across individuals. Study designs varied in their ability to measure the causal effect of policy or cost-sharing changes on disparities, and a wide range of policies were examined across studies. Further research is needed to identify the types of policies that are best suited to reduce disparities in medication adherence. [ABSTRACT FROM AUTHOR]

Patients require important information when prescribed medications. For example, the U.S. Food and Drug Administration (FDA) requires that promotional information includes a fair balance of risks and benefits. This study evaluates how well legitimate online pharmacies (LOPs) and illegitimate online pharmacies (IOPs) comply with the spirit of the FDA's fair balance guidelines by examining the extent and equivalence of risk and benefit information on their websites. This study analyzed the content of 307 online pharmacy websites. Most (90.3%) communicated drug benefits, while 84.7% provided risks. Both risk and benefit information was moderately extensive. Presentation of risks and benefits differed between online pharmacy types. Compared to LOPs, IOPs were more likely to present risk information but also exaggerate benefits. Four in ten online pharmacies presented a fair balance of risks and benefits. However, LOPs (47.4%) were more likely to present a fair balance than IOPs (36.5%). Interestingly, IOPs were more likely to disclose instructions for use and overdose information than LOPs. These findings underscore the need for regulatory guidelines to encourage online pharmacies to present a fair balance of benefit and risk information. Also, pharmacists should develop online approaches to better fulfill their professional responsibility as drug information providers while maintaining their integrity and objectivity. [ABSTRACT FROM AUTHOR]

This article discusses trends in prescription utilization for mental health disorders among older adults. The study examines the usage of antidepressants and antipsychotics among this population, highlighting the increase in symptoms of serious psychological distress and rates of depression. The article also addresses questions regarding the affordability of prescription medications and issues of adherence to medication regimens among Medicare beneficiaries. It explores potential disparities in diagnoses and treatments for mental health disorders, noting that women are more likely to be diagnosed with depression and that rates of depression are higher for non-Hispanic Black and Hispanic older adults compared to non-Hispanic Whites. The study analyzes data from the Medical Expenditure Panel Survey and provides insights into prescription trends, differences in usage across demographic groups, and changes in prescription spending by source. The findings suggest an overall increase in the use of these medications among older adults, particularly those aged 80 and above, and disparities in usage based on sex and race/ethnicity. The article concludes by highlighting the need for further research to understand the effects of these trends on mental health outcomes among older adults. [Extracted from the article]

Objective: Screening questionnaires are one option for identification of at-risk substance use and substance use disorder (SUD) during pregnancy. We report the experience of a single institution following universal implementation of a brief screening tool for self-reported substance use at the first prenatal encounter. Study Design: This is a prospective implementation study evaluating screening for substance use in pregnancy in a large safety net healthcare system. Universal screening with the National Institute of Drug Abuse (NIDA) Quick Screen V1.0 was integrated into the electronic medical record (EMR) and administered at the first point of contact with the healthcare system. SUD was identified initially with diagnosis within the EMR by a healthcare provider and was confirmed with toxicology (maternal or neonatal) results corroborating a pattern of substance use and maternal and neonatal ICD-10 codes for SUD. Patients identified with SUD were then classified as moderate or severe SUD based on criteria established by the Diagnostic and Statistical Manual of Mental Disorders, 5th edition. We measured rates of NIDA implementation across different healthcare settings, evaluated NIDA concordance with ascertainment of SUD, and compared adverse pregnancy outcomes associated with moderate and severe SUD. Results: From July 28, 2021, through June 25, 2022, 14,634 unique pregnant individuals accessed care at ambulatory and acute care sites. Universal implementation of the NIDA Quick Screen identified at-risk substance use in 2146 (14.7%) of those who accessed our system, or 17.1% of 12,550 screened across the system, with greater screen completion in ambulatory over acute care settings. SUD was identified in 256 (1.7%) of 14,634 individuals and moderate or severe SUD was identified in 184 (1.3%). Among those with moderate or severe SUD, 90 (48.9%) were NIDA positive, 22 (12.0%) NIDA negative, and 72 (39.1%) unscreened. Of 94 individuals with NIDA discordance or who were unscreened 76 (81%) accessed initial care through an acute care setting. Of 96 individuals with opioid use disorder, 68 (70.8%) were treated with medication-assisted therapy, and 56 (58.3%) were screened with the NIDA Quick Screen. Among delivered individuals with available outcomes, those with moderate or severe SUD were less likely to seek prenatal care (71 (76%) vs 9852 (98%),

Abstract Background The COVID‐19 pandemic has impacted healthcare behaviors, leading to fewer pediatric visits in Japan and potentially fewer visits by adult patients. However, existing Japanese studies on treatment interruptions have generally relied on questionnaire‐based methods. In this study, we assessed the impact of the pandemic on antihypertensive treatment interruption using real‐world prescription data. Methods We conducted an interrupted time series analysis using the National Health Insurance Database in Okayama Prefecture, Japan. Participants included individuals aged 40–69 years with at least one antihypertensive prescription between 2018 and 2020. Treatment interruption was defined as a 3‐month or longer gap in prescriptions after medication depletion. We used segmented Poisson regression with models unadjusted and adjusted for seasonality and over‐dispersion to assess monthly treatment interruptions before and after Japan's April 2020 emergency. Results During the study period, 23.0% of 55,431 participants experienced treatment interruptions. Cyclical fluctuations in interruptions were observed. The crude analysis indicated a 1.2‐fold increase in treatment interruptions following the pandemic; however, the adjusted models showed no significant changes. Even among higher‐risk groups, such as women, younger adults, and those with shorter prescriptions, no significant alterations were observed. Conclusion We found no significant impact of the COVID‐19 pandemic on antihypertensive treatment interruption in Okayama Prefecture. The less severe outbreak in the area or increased use of telemedicine and extended prescriptions may have contributed to treatment continuity. Further research is needed using a more stable and comprehensive database, broader regional data, and detailed prescription records to validate and extend our findings.

Objective: Prescription opioid abuse, associated with numerous opioids, is a well-established public health problem in developed countries such as the UK, US and Australia. Opioids have a limited role in general dental practice; hence the aim of this study was to assess prescribing rates of opioids in dentistry from 2013 to 2023 in Croatia. Materials and Methods: Data on opioid prescribing practices for this study were provided by the Croatian Health Insurance Fund. The analysis included the number of prescriptions, cost, and the number of packages prescribed. Results: Over the 11 years, dentists in Croatia have prescribed a total of 9132 opioid prescriptions, representing annually on average 1,1% of all analgesic prescriptions, and 0,2% of all dental prescriptions. The number of opioid prescriptions per 1,000 dental patients was on average 0, 19. Tramadol/paracetamol and tramadol were the most prescribed opioids, with average annual number of prescriptions amounting to 622, 7 (64% of opioids prescriptions) and 114, 5 (1, 1% of analgesic prescriptions), respectively. Trends in opioid prescription varied, especially during pandemic years (2020-2022), when tramadol rates decreased while fixed combination medications tramadol/paracetamol and tramadol/dexketoprofen increased. But an overall increasing trend was observed during that period. Conclusion: Dentists in Croatia are restrictive and conservative in prescribing opioids, and there is no need for intervention, but because of increasing trends, observing the prescribing pattern in the future is highly recommended.

Abstract Backgound Potentially inappropriate prescribing (PIP) has been evaluated in several countries, and several strategies have been devised for deprescribing drugs in older adults. The aim of this study was to evaluate the efficacy of a mobile application in reducing PIP for older adults in primary care facilities in Brazil. Methods This randomised, triple-blind, parallel-group trial was conducted in 22 public primary care facilities in Brazil. During the intervention phase, the general practitioners (GPs) were randomly allocated to the intervention (MPI Brasil app provides information about PIP, therapeutic alternatives and deprescribing) or control (MedSUS app provides general information about medications) group. All GPs were trained on the Clinical Decision-Making Process and how to access an Evidence-Based Health website. The GPs received an Android tablet with an installed mobile application depending on their allocated group, which they used when caring for older patients over at least 3 months. At the end of this period, a sample of older patients aged ≥ 60 years who had been awaiting medical consultation by the participating GPs were interviewed and their prescriptions analysed. The primary outcome was the frequency of PIP in and between the groups. Results Among 53 GPs who were administered the baseline survey, 14 were included in the clinical trial. At baseline, 146 prescriptions were analysed: the PIP overall was 37.7% (55/146), in the intervention group was 40.6% (28/69), and in the control group was 35.1% (27/77). After the intervention, 284 prescriptions were analysed: the PIP overall was 31.7% (90/284), in the intervention group was 32.2% (46/143), and in the control group was 31.2% (44/141) (RR: 1.16; 95% CI, 0.76–1.76). In the within-group analysis, the PIP reduced from before to after the intervention in both groups—more significantly in the intervention than in the control group (p

Oluyomi Oloruntoba,1 Caroline D Bergeron,2 Lixian Zhong,3 Ashley L Merianos,4 Ledric D Sherman,5,6 Chung Lin Kew,5 R Kirby Goidel,7 Matthew Lee Smith5,6,8 1Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX, USA; 2LIFE Research Institute, University of Ottawa, Ottawa, ON, Canada; 3Department of Pharmaceutical Sciences, Rangel School of Pharmacy, Texas A&M University, College Station, TX, USA; 4School of Human Services, University of Cincinnati, Cincinnati, OH, USA; 5Department of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, USA; 6Center for Health Equity and Evaluation Research, Texas A&M University, College Station, TX, USA; 7Public Policy Research Institute, Texas A&M University, College Station, TX, USA; 8Center for Community Health and Aging, Texas A&M University, College Station, TX, USACorrespondence: Matthew Lee Smith, Email matthew.smith@tamu.eduIntroduction: Pharmacological strategies are often central to chronic pain management; however, pain treatment among non-Hispanic Black men may differ because of their disease profiles and healthcare interactions. However, less is known about pain medication prescribing and patients’ satisfaction with pain treatment and management among non-Hispanic Black men with self-reported chronic pain.Purpose: This study assessed factors associated with non-Hispanic Black men being prescribed/recommended narcotics/opioids for chronic pain and their satisfaction with pain treatment/management.Methods: Data were analyzed from 286 non-Hispanic Black men with chronic pain who completed an internet-delivered questionnaire. Participants were recruited nationwide using a Qualtrics web-based panel. Logistic regression was used to identify factors associated with being prescribed/recommended narcotics/opioids for pain management treatment. Then, ordinary least squares regression was used to identify factors associated with their satisfaction level with the pain treatment/management received.Results: On average, participants were 56.2 years old and 48.3% were prescribed/recommended narcotics/opioids for chronic pain. Men with more chronic conditions (Odds Ratio [OR] = 0.57, P = 0.043) and depression/anxiety disorders (OR = 0.53, P = 0.029) were less likely to be prescribed/recommended narcotics/opioids. Men who were more educated (OR = 2.09, P = 0.044), reported more frequent chronic pain (OR = 1.28, P = 0.007), and were allowed to participate more in decisions about their pain treatment/management (OR = 1.11, P = 0.029) were more likely to be prescribed/recommended narcotics/opioids. On average, men with more frequent chronic pain (B = − 0.25, P = 0.015) and pain problems (B = − 0.16, P = 0.009) were less satisfied with their pain treatment/management. Men who were allowed to participate more in decisions about their pain treatment/management reported higher satisfaction with their pain treatment/management (B = 0.55, P < 0.001).Conclusion: Playing an active role in pain management can improve non-Hispanic Black men’s satisfaction with pain treatment/management. This study illustrates the importance of patient-centered approaches and inclusive patient-provider interactions to improve chronic pain management.Keywords: chronic pain, African American, non-Hispanic Black, men, prescription drugs, opioids, treatment satisfaction

ObjectiveTo describe the reported prevalence of cannabis use and co-use with prescription medications among older adult patients attending primary care (PC) clinics in Los Angeles, CA.MethodsWe used electronic health record (EHR) data from sixty PC clinics part of a university-based, urban healthcare system. Patients' ≥50 years of age with an annual physical examination between July 2019 and May 2020 were eligible for inclusion (n = 42,555). Cannabis use was assessed by clinic staff at the time of the visit and recorded in the EHR. We also used EHR data on clinical characteristics including current prescriptions and comorbidities.ResultsThe median age was 63 years (range: 50-101) and 56% were female. Recent cannabis use was reported by 7.6%, which was higher than tobacco use (4.0%; p

BackgroundA study has shown that industry payments to physicians for drugs are associated not only with higher drug prescriptions but also with higher non-drug costs due to additional utilization of healthcare services. However, the association between industry payments to cardiologists for antiplatelet drugs and the costs and number of percutaneous coronary interventions they perform has not been investigated.ObjectiveTo examine the association between industry payments to cardiologists for antiplatelet drugs and the costs and number of percutaneous coronary interventions they perform.DesignUsing the 2016 Open Payments Database linked to the 2017 Medicare Provider Utilization and Payment Data, we examined the association between the value of industry payments related to the antiplatelet drugs prasugrel and ticagrelor and healthcare spending and volume for cardiovascular procedures, adjusted for potential cofounders.SubjectsA total of 7456 cardiologists who performed diagnostic cardiac catheterizations on Medicare beneficiaries in 2017.Main measuresPrimary outcomes included (1) healthcare spending on cardiac procedures, (2) diagnostic cardiac catheterization volumes, and (3) rates of coronary stenting. Secondary outcomes were total expenditures for all drugs and for antiplatelet drugs.Key resultsIndustry payments for antiplatelet drugs were associated with higher healthcare spending on cardiac procedures (adjusted difference, +$50.9 for additional $100 industry payments; 95% CI, +$25.5 to +$76.2; P < 0.001), diagnostic cardiac catheterizations (+0.1 procedures per cardiologist; 95% CI, +0.03 to +0.1; P=0.001), and stent use (+0.5 per 1000 diagnostic cardiac catheterizations per cardiologist; 95% CI, +0.2 to +0.9; P=0.002). Industry payments for antiplatelet drugs were associated with higher total costs for all drugs and antiplatelet drugs.ConclusionsIndustry payments to cardiologists for antiplatelet drugs were associated with both prescribing of antiplatelet drugs and the use of cardiac procedures and stents. Further research is warranted to understand whether the observed associations are causal or reflect a greater propensity for higher volume proceduralists to have relationships with industry.

This cross-sectional study describes the price differences between capsule and tablet or ointment and cream forms of prescription drugs for insured patients.

Background: Cannabinoid compounds have been approved as prescription drugs for treating various human ailments. However, the production using both microbial and plant-based sources is time-consuming and expensive because their yield is extremely low. Tetraketide synthase (TKS), the key enzyme in the biosynthesis of cannabinoid compounds, produces only 4% of the intermediate compound olivetolic acid. However, it may be possible to rearrange the carbon metabolic flux of TKS using genetic methods to increase the overall yields of cannabinoid compounds. In this context, protein engineering is an economically beneficial and viable solution to improve the catalytic activity of TKS. However, the ability to produce enzyme variants significantly exceeds the capacity to screen and identify high producers, creating a bottleneck in the enzyme engineering process. Results: This study constructed an Escherichia coli-based biosensor workflow for detecting the byproduct pentyl diacetic acid lactone (PDAL). Rational design was used to generate E. coli strains with mutant regulatory protein AraC and an altered effector PDAL to control the transcription of gfp and kanamycin. The developed biosensor could detect PDAL at the concentrations of the operational range from microbial cell culture and cell-free catalytic system. Conclusions: The E. coli-based biosensor developed in this study efficiently detected PDAL with high throughput and low cost.How to cite: Gao M, Zhang Y, Xue L, et al. Screening microbially produced pentyl diacetic acid lactone using an Escherichia coli biosensor workflow. Electron J Biotechnol 2023;66. https://doi.org/10.1016/j.ejbt.2023.09.002.

This work examined the use of over-the-counter drugs and its health implications in Awka South LGA of Anambra State, Nigeria. The objective of the study is to empirically interrogate the prevalence of over-the-counter drug use in Awka South LGA of Anambra State, Nigeria; the factors influencing it, and its health implications. The study used a mixed methods research approach, with 204 respondents selected through a multistage sampling procedure. The structured questionnaire and In-Depth Interview (IDI) guide acted as data-gathering tools. The quantitative data were coded and processed with SPSS version 20. Frequency tables were utilized to evaluate, characterize, and show the data, whereas quantitative data were manually transcribed and analyzed using content analysis. Two study hypotheses were developed and tested using chi-square inference statistics. This study revealed that various factors influence the use of OTC drugs in Awka South LGA. The study equally found that the use of OTC drugs is very prevalent in Awka South LGA. Moreover, the study also found that abusing OTC drugs has health implications. Based on these findings, this study recommended that the government should regulate the production, sale, and advertisement of OTC drugs. The study also recommended that sensitization and awareness programs should be carried out periodically to teach people when and when not to use OTC drugs.

ObjectivesMethodsResultsConclusionClinical ImplicationsTo investigate indicators of potentially hazardous alcohol use among older adults living in a region with high substance use stigma.Patients at a university-affiliated geriatrics clinic in the Deep South of theUS completed behavioral health screenings including self-reported alcohol use, symptoms of depression or anxiety, and cognitive functioning between 2018 and 2022.Participants (N = 278) averaged 76.04 years of age (SD = 9.25), were predominantly female (70.9%), and non-Hispanic white (84.5%), with an averageof 6.08 comorbid diagnoses (SD = 2.86). Race/ethnicity, age, and symptoms of anxiety were associated with alcohol use and hazardous alcohol use, with non-Hispanic whites, younger individuals, and those with more anxiety symptoms reporting more alcohol use. Notably, alcohol use and hazardous alcohol use were associated with cognitive functioning in the dementia range.Self-reported alcohol use is low in geriatric primary care in the Deep South, US, differs by race/ethnicity, and is predictive of cognitive impairment when alcohol use is hazardous. Issues of trust and stigma may play a role in self-report ofstigmatized behaviors.Self-reported alcohol intake must be considered within the cultural context of regional stigma. Recommendations to address this are provided. [ABSTRACT FROM AUTHOR]

To examine whether higher cost‐sharing deterred prescription opioid use. Medicare Part D claims from 2007 to 2016 for a 20% random sample of Medicare enrollees. We obtain estimates of the effect of cost‐sharing on prescription opioid use using ordinary least squares and instrumental variables methods. In both, we exploit the variation (change) in cost‐sharing within plans over time for a sample of beneficiaries who remain in the same plan. Focusing on changes in cost‐sharing within a plan for a constant sample of beneficiaries mitigates potential bias from plan selection and using a constant set of weights derived from use in year (t) eliminates changes in the cost‐sharing indexes due to (endogenous) consumer choice in year (t+1). Part D plans adopted benefit changes designed to reduce opioid use, including moving opioids to higher cost‐sharing tiers. Increasing plan copayments for hydrocodone or oxycodone was associated with reductions in plan‐paid claims and offsetting increases in cash claims. Widespread availability of low‐cost generics combined with the anti‐clawback provision in Part D mediated the effect of higher cost sharing to curb opioid use. As plans moved generic opioids to higher cost‐sharing tiers, beneficiaries simply paid cash prices and aggregate use remained largely unchanged. The anti‐clawback provision in Part D, intended to protect beneficiaries from price gouging, limited plans' ability to constrain opioid use through typical demand‐side measures such as increased cost‐sharing. [ABSTRACT FROM AUTHOR]

Background: The COVID‐19 pandemic has impacted healthcare behaviors, leading to fewer pediatric visits in Japan and potentially fewer visits by adult patients. However, existing Japanese studies on treatment interruptions have generally relied on questionnaire‐based methods. In this study, we assessed the impact of the pandemic on antihypertensive treatment interruption using real‐world prescription data. Methods: We conducted an interrupted time series analysis using the National Health Insurance Database in Okayama Prefecture, Japan. Participants included individuals aged 40–69 years with at least one antihypertensive prescription between 2018 and 2020. Treatment interruption was defined as a 3‐month or longer gap in prescriptions after medication depletion. We used segmented Poisson regression with models unadjusted and adjusted for seasonality and over‐dispersion to assess monthly treatment interruptions before and after Japan's April 2020 emergency. Results: During the study period, 23.0% of 55,431 participants experienced treatment interruptions. Cyclical fluctuations in interruptions were observed. The crude analysis indicated a 1.2‐fold increase in treatment interruptions following the pandemic; however, the adjusted models showed no significant changes. Even among higher‐risk groups, such as women, younger adults, and those with shorter prescriptions, no significant alterations were observed. Conclusion: We found no significant impact of the COVID‐19 pandemic on antihypertensive treatment interruption in Okayama Prefecture. The less severe outbreak in the area or increased use of telemedicine and extended prescriptions may have contributed to treatment continuity. Further research is needed using a more stable and comprehensive database, broader regional data, and detailed prescription records to validate and extend our findings. [ABSTRACT FROM AUTHOR]

Medication guides (MGs) provide patients with important information about certain prescription drugs to help them take these drugs safely. We surveyed US residents about their perceptions of MG readability and understandability. We randomly sampled 5204 US residents (age 18+) from Ipsos's KnowledgePanel to complete a two-part survey. Only respondents who reported receiving an MG with their prescription drugs (n  = 3852) completed part 2, which included two key items: How easy to [(1) read/ (2) understand ] are the MGs that you have received from a pharmacy along with your prescription medicines? (1 =  Very easy, 5 =  Very difficult ; reverse-coded). Health literacy (HL) and demographic data were also collected. After weighting our data, we found that 85% of respondents who reported receiving an MG perceived this information as 'very easy' (27.3%), 'somewhat easy' (28.3%) or 'about average' (29.3%) to read. Eighty-seven percent of respondents who reported receiving an MG perceived it as 'very easy' (27.6%), 'somewhat easy' (30.2%) or 'about average' (29.5%) to understand. ANOVAs revealed higher average perceived MG reading and comprehension ease scores among respondents presumed to have adequate versus inadequate HL (ps  ≤ 0.0006). Younger or less-educated respondents and non-Hispanic Blacks perceived MGs as easier to read and understand, on average, than their counterparts (p s ≤ 0.0001). Many of these relationships remained intact in models predicting perceived MG reading and comprehension ease (p s ≤ 0.001). Adjusted R 2 values across models were small, however (≤0.06). Our findings suggest most US residents (18+) who received MGs perceived them to be 'about average' to 'very easy' to read and understand. [ABSTRACT FROM AUTHOR]

Background: Medications are one of the most easily modifiable risk factors for motor vehicle crashes (MVCs) among older adults, yet limited information exists on how the use of potentially driver‐impairing (PDI) medications changes following an MVC. Therefore, we examined the number and types of PDI medication classes dispensed before and after an MVC. Methods: This observational study included Medicare fee‐for‐service beneficiaries aged ≥67 years who were involved in a police‐reported MVC in New Jersey as a driver between 2008 and 2017. Analyses were conducted at the "person‐crash" level because participants could be involved in more than one MVC. We examined the use of 36 PDI medication classes in the 120 days before and 120 days after MVC. We described the number and prevalence of PDI medication classes in the pre‐MVC and post‐MVC periods as well as the most common PDI medication classes started and stopped following the MVC. Results: Among 124,954 person‐crashes, the mean (SD) age was 76.0 (6.5) years, 51.3% were female, and 83.9% were non‐Hispanic White. The median (Q1, Q3) number of PDI medication classes was 2 (1, 4) in both the pre‐MVC and post‐MVC periods. Overall, 20.3% had a net increase, 15.9% had a net decrease, and 63.8% had no net change in the number of PDI medication classes after MVC. Opioids, antihistamines, and thiazide diuretics were the top PDI medication classes stopped following MVC, at incidences of 6.2%, 2.1%, and 1.7%, respectively. The top medication classes started were opioids (8.3%), skeletal muscle relaxants (2.2%), and benzodiazepines (2.1%). Conclusions: A majority of crash‐involved older adults were exposed to multiple PDI medications before and after MVC. A greater proportion of person‐crashes were associated with an increased rather than decreased number of PDI medications. The reasons why clinicians refrain from stopping PDI medications following an MVC remain to be elucidated. [ABSTRACT FROM AUTHOR]

Backgound: Potentially inappropriate prescribing (PIP) has been evaluated in several countries, and several strategies have been devised for deprescribing drugs in older adults. The aim of this study was to evaluate the efficacy of a mobile application in reducing PIP for older adults in primary care facilities in Brazil. Methods: This randomised, triple-blind, parallel-group trial was conducted in 22 public primary care facilities in Brazil. During the intervention phase, the general practitioners (GPs) were randomly allocated to the intervention (MPI Brasil app provides information about PIP, therapeutic alternatives and deprescribing) or control (MedSUS app provides general information about medications) group. All GPs were trained on the Clinical Decision-Making Process and how to access an Evidence-Based Health website. The GPs received an Android tablet with an installed mobile application depending on their allocated group, which they used when caring for older patients over at least 3 months. At the end of this period, a sample of older patients aged ≥ 60 years who had been awaiting medical consultation by the participating GPs were interviewed and their prescriptions analysed. The primary outcome was the frequency of PIP in and between the groups. Results: Among 53 GPs who were administered the baseline survey, 14 were included in the clinical trial. At baseline, 146 prescriptions were analysed: the PIP overall was 37.7% (55/146), in the intervention group was 40.6% (28/69), and in the control group was 35.1% (27/77). After the intervention, 284 prescriptions were analysed: the PIP overall was 31.7% (90/284), in the intervention group was 32.2% (46/143), and in the control group was 31.2% (44/141) (RR: 1.16; 95% CI, 0.76–1.76). In the within-group analysis, the PIP reduced from before to after the intervention in both groups—more significantly in the intervention than in the control group (p < 0.001). In the stratified analysis of PIP frequency by GPs, there was a relative risk reduction in 86% (6/7) of GPs in the intervention group compared to 71% (5/7) in the control group. Conclusion: We found that the MPI Brasil app effectively reduced PIP, suggesting that it may be useful to incorporate this tool into clinical practice. Trial registration: The study was registered at ClinicalTrials.gov (NCT02918643). First registration on 22/09/2016. [ABSTRACT FROM AUTHOR]

BACKGROUND: The global COVID-19 pandemic has forced people to obtain health products and services from home. Similar to other e-commerce, medicines are bought online and delivered using a courier service. OBJECTIVE: By being fully concerned to patient safety, this study aims to determine development strategies to increase intention in purchasing prescription drugs through e-pharmacy. METHODS: Two stages of measurement are employed in this study, namely confirmatory factor analyis using PLS-SEM and pairwise comparison using AHP method. To discover consumer perception in using e-pharmacy, the basic model of Theory of Planned Behavior (TPB) is employed with several extensions. RESULTS: The results of PLS-SEM express that Trust has a major role as an intervening variable to enhance the indirect effect of Subjective Norms and Perceived Values on Purchase Intention. In general, PLS-SEM structural model is declared "fit" (GFI = 0.93 ≥ 0.90; RMSEA = 0.045 ≤ 0.08; SRMR = 0.033 ≤ 0.05). Measurement model test proves that all selected indicators are valid to represent their related constructs (Loading Factor ≥ 0.50), and all selected constructs are reliable to build the whole path model (CR ≥ 0.7; AVE ≥ 05). Meanwhile, the results of AHP indicate that strengthening government policies and regulations is prioritized to increase consumer intention of purchasing prescription drugs through e-pharmacy, followed by protection of user confidential data in the second place. Those two eigenvectors are 0.236 and 0.185 respectively. CONCLUSION: Future research is suggested to add perceived risk as latent variable in the study of consumer behavior for any high-risk products. [ABSTRACT FROM AUTHOR]

The strength of evidence for specific ambulatory care prescribing cascades, in which a marker drug is used to treat an adverse event caused by an index drug, has not been well characterized. To perform a structured, systematic, and transparent review of the evidence supporting ambulatory care prescribing cascades. Ninety‐four potential prescribing cascades identified through a previously published systematic review. Systematic search of the literature to further characterize prescribing cascades. (1) Grading of evidence based on observational studies investigating associations between index and marker drugs, including: Level I—strong evidence [i.e. multiple high‐quality studies]; Level II—moderate evidence [i.e. single high‐quality study]; Level III—fair evidence [no high‐quality studies but one or more moderate‐quality studies]; and Level IV—poor evidence [other]. (2) Listing of the adverse event associated with the index drug in the product's United States Food and Drug Administration (FDA) label. (3) Synthesis of the evidence supporting mechanisms linking index drugs and associated adverse events. Of 99 potential cascades, 94 were supported by one or more confirmatory observational studies and were therefore included in this review. The 94 cascades related to 30 types of adverse drug reactions affecting 10 different anatomic/physiologic systems and were investigated by a total of 88 confirmatory studies, including prescription sequential symmetry analysis (n = 51), cohort (n = 30), and case–control (n = 7) studies. Overall, the evidence from observational studies was strong for 18 (19.1%) prescribing cascades, moderate for 61 (64.9%), fair for 13 (13.8%), and poor for 2 (2.1%). Although the evidence supporting mechanisms that link index drugs and associated adverse events was variable, FDA labels included information about the adverse event associated with the index drug for most (n = 86) but not all of the 94 prescribing cascades. Although we identified 18 of 94 prescribing cascades supported by strong clinical evidence and most adverse events associated with index drugs are included in FDA label, the evidentiary basis for prescribing cascades varies, with many requiring further evidence of clinical relevance. [ABSTRACT FROM AUTHOR]

This study aimed to characterize products using pharmacy-pharmacy benefit manager (PBM) discounts and to estimate the association among such discounts, prescription utilization, and out-of-pocket costs. This is a retrospective cohort study using IQVIA's Formulary Impact Analyzer, which contains anonymized, individual-level pharmacy claims representing US retail pharmacy transactions. We focused on 20 products with the greatest number of transactions using a pharmacy-PBM discount. Our unit of analysis was a treatment episode, defined as the length of time from an incident fill to no continuous use for 60 consecutive days after allowing for indefinite stockpiling. Outcome measures included products with greatest pharmacy-PBM discount use, characteristics of treatment episodes, and out-of-pocket costs with and without pharmacy-PBM discount. Across all products, 3.82% of transactions and 7.69% of treatment episodes were accompanied by a pharmacy-PBM discount. Commonly discounted products included generic treatments for chronic disease (lisinopril, levothyroxine, metformin) and neuropsychiatric conditions (alprazolam, amphetamine, buprenorphine, hydrocodone). The median postdiscount out-of-pocket cost was >2.5-fold higher during treatment episodes with a discount than those without ($15.15, interquartile range [IQR] $8.53-32.00, vs $5.88, IQR $1.40-15.00). Median treatment episode duration was 249 days (IQR 132-418) with discount use compared with 236 days (IQR 121-396) without discount use, although treatment episodes that began with a discount had fewer transactions per treatment episode and were shorter (median 212 days, IQR 114-360) than those that did not (313 days, IQR 178-500). Pharmacy-PBM discounts may foster market competition and improve access for under- and uninsured individuals; however, these programs may not generate savings for many insured individuals. • Approximately half of drug discounts originate from pharmacy-pharmacy benefit manager (PBM) programs rather than drug manufacturers, yet little is known regarding the use and impact of these programs. • In this retrospective cohort of individuals using anonymized, longitudinal, patient-level pharmacy claims, pharmacy-PBM discounts were used for 3.82% of transactions. Across all treatment episodes, the median postdiscount out-of-pocket cost was >2.5-fold higher during treatment episodes with a discount than those without. Treatment episodes that began with a discount had fewer transactions per treatment episode and were shorter than those that did not. • Pharmacy-PBM discounts may foster market competition and improve access for under- and uninsured individuals; nevertheless, these programs may not generate savings for many insured individuals. [ABSTRACT FROM AUTHOR]

Background: Data from the social media platform X (formerly Twitter) can provide insights into the types of language that are used when discussing drug use. In past research using latent Dirichlet allocation (LDA), we found that tweets containing "street names" of prescription drugs were difficult to classify due to the similarity to other colloquialisms and lack of clarity over how the terms were used. Conversely, "brand name" references were more amenable to machine-driven categorization. Objective: This study sought to use next-generation techniques (beyond LDA) from natural language processing to reprocess X data and automatically cluster groups of tweets into topics to differentiate between street- and brand-name data sets. We also aimed to analyze the differences in emotional valence between the 2 data sets to study the relationship between engagement on social media and sentiment. Methods: We used the Twitter application programming interface to collect tweets that contained the street and brand name of a prescription drug within the tweet. Using BERTopic in combination with Uniform Manifold Approximation and Projection and k-means, we generated topics for the street-name corpus (n=170,618) and brand-name corpus (n=245,145). Valence Aware Dictionary and Sentiment Reasoner (VADER) scores were used to classify whether tweets within the topics had positive, negative, or neutral sentiments. Two different logistic regression classifiers were used to predict the sentiment label within each corpus. The first model used a tweet's engagement metrics and topic ID to predict the label, while the second model used those features in addition to the top 5000 tweets with the largest term-frequency–inverse document frequency score. Results: Using BERTopic, we identified 40 topics for the street-name data set and 5 topics for the brand-name data set, which we generalized into 8 and 5 topics of discussion, respectively. Four of the general themes of discussion in the brand-name corpus referenced drug use, while 2 themes of discussion in the street-name corpus referenced drug use. From the VADER scores, we found that both corpora were inclined toward positive sentiment. Adding the vectorized tweet text increased the accuracy of our models by around 40% compared with the models that did not incorporate the tweet text in both corpora. Conclusions: BERTopic was able to classify tweets well. As with LDA, the discussion using brand names was more similar between tweets than the discussion using street names. VADER scores could only be logically applied to the brand-name corpus because of the high prevalence of non–drug-related topics in the street-name data. Brand-name tweets either discussed drugs positively or negatively, with few posts having a neutral emotionality. From our machine learning models, engagement alone was not enough to predict the sentiment label; the added context from the tweets was needed to understand the emotionality of a tweet. [ABSTRACT FROM AUTHOR]

Individuals with spinal cord injuries (SCI) experience high rates of prescription opioid use, yet there is limited data on frequency of opioid use and specific medications being taken. To examine the frequency of self-reported prescription opioid use among participants with SCI and the relationship with demographic, injury, and socioeconomic characteristics. A cohort study of 918 adults with SCI of at least 1-year duration completed a self-report assessment (SRA) that indicated frequency of specific prescription opioid use based on the National Survey on Drug Use and Health (NSDUH). Forty-seven percent of the participants used at least one prescription opioid over the last year; the most frequently used was hydrocodone (22.1%). Nearly 30% used a minimum of one opioid at least weekly. Lower odds of use of at least one opioid over the past year was observed for Veterans (odds ratio [OR] = 0.60, 95% CI = 0.38, 0.96) and those with a bachelor's degree or higher (OR = 0.63, 95% CI = 0.44, 0.91). When restricting the analysis to use of at least one substance daily or weekly, lower odds of use was observed for those with a bachelor's degree or higher and those with income ranging from $25,000 to $75,000+. None of the demographic or SCI variables were significantly related to prescription opioid use. Despite the widely established risks, prescription opioids were used daily or weekly by more than 28% of the participants. Usage was only related to Veteran status and socioeconomic status indicators, which were protective of use. Alternative treatments are needed for those with the heaviest, most regular usage. [ABSTRACT FROM AUTHOR]

Objective: The Institute for Clinical and Economic Review (ICER) publishes annual Unsupported Price Increase (UPI) reports on prescription drugs, which have gained attention from policymakers and healthcare stakeholders. These reports do not adjust for inflation in their analyses of net price changes. This study aimed to evaluate the economic context of reported drug price increases in ICER's UPI reports by applying inflation adjustments to the estimated impact on healthcare spending. Methods: Separate inflation adjustments using the Medical Consumer Price Index (Medical CPI) and the Consumer Price Index for All Urban Consumers (CPI-U) were applied to unadjusted UPI findings. The study analyzed data from four most recent UPI reports spanning pricing data from 2018 to 2019 (report year 2020) to 2021 to 2022 (report year 2023), focusing on drugs classified as having "unsupported" price increases. Results: Inflation-adjusted analyses showed lower estimates of real changes in spending compared to ICER's unadjusted figures across all drugs analyzed. Across the four UPI reports, the average report-year difference in Medical CPI inflation adjustment spending versus unadjusted findings was 53%, whereas the average report-year difference in CPI-U inflation adjustment spending versus unadjusted findings was 80%. In the most recent report year of 2023, ICER's unadjusted estimate of a $1.3 billion increase in healthcare spending transformed to a $134 million decrease when adjusted by Medical CPI and a $1.51 billion decrease when adjusted by CPI-U. Conclusion: This study demonstrates that inflation adjustment can alter not only the findings but also the interpretation of drug spending changes in UPI reports. The findings highlight the importance of considering economic context in evaluating drug pricing trends and suggest that unadjusted figures may overstate the impact of real price changes. Given the influence of these reports on policy discussions, incorporating inflation adjustments into analyses is one of many steps toward informing evidence-based policy decisions. [ABSTRACT FROM AUTHOR]

Objective: To describe the historical baseline landscape of cardiovascular drug post-approval activity, including the number and timing of post-approval clinical trials and approved indications. The US Inflation Reduction Act of 2022 (IRA) Drug Price Negotiation Program (DPNP) and its Maximum Fair Prices (MFPs) will affect incentives for investment in post-approval activity such as clinical trials for new indications. While three of the first ten drugs selected for the DPNP and MFP-setting are cardiovascular or antithrombotic drugs, limited attention has been paid to potential cardiovascular drug impacts, and to post-approval innovation. Methods: For the 65 drugs originally approved by the FDA from 1995 through 2021 for a cardiovascular or antithrombotic indication (60 small molecules and 5 biologics), we develop a novel dataset of industry-sponsored, post-approval clinical trials and FDA-approved label changes for new indications. We analyze their number and timing relative to DPNP drug selection and MFP implementation dates, by drug approval-year cohort. Results: We find 49% of indications were awarded and 76% of industry-funded clinical trials were completed post-approval, reaching 98% of trials for drugs in the earliest 1995–99 cohort. For the 60 small molecules, 76% of post-approval trials ended five years or more after original drug approval, 65% ended seven or more years after original drug approval (i.e. after potential DPNP selection), and 53% nine or more years after original drug approval (i.e. after potential MFP implementation). Conclusions: Post-approval FDA indication approvals and clinical trial starts and primary completion dates often occurred after or near new DPNP selection and MFP implementation dates. This has economic consequences for future investment incentives. Post-approval trials for small molecules, longer-duration trials, and larger-enrollment trials, and post-approval indications focused on limited patient populations and older patients could face particular economic challenges. [ABSTRACT FROM AUTHOR]

ImportanceAntidepressant use may be associated with reduced levels of several proinflammatory cytokines suggested to be involved with the development of severe COVID-19. An association between the use of selective serotonin reuptake inhibitors (SSRIs)-specifically fluoxetine hydrochloride and fluvoxamine maleate-with decreased mortality among patients with COVID-19 has been reported in recent studies; however, these studies had limited power due to their small size.ObjectiveTo investigate the association of SSRIs with outcomes in patients with COVID-19 by analyzing electronic health records (EHRs).Design, setting, and participantsThis retrospective cohort study used propensity score matching by demographic characteristics, comorbidities, and medication indication to compare SSRI-treated patients with matched control patients not treated with SSRIs within a large EHR database representing a diverse population of 83 584 patients diagnosed with COVID-19 from January to September 2020 and with a duration of follow-up of as long as 8 months in 87 health care centers across the US.ExposuresSelective serotonin reuptake inhibitors and specifically (1) fluoxetine, (2) fluoxetine or fluvoxamine, and (3) other SSRIs (ie, not fluoxetine or fluvoxamine).Main outcomes and measuresDeath.ResultsA total of 3401 adult patients with COVID-19 prescribed SSRIs (2033 women [59.8%]; mean [SD] age, 63.8 [18.1] years) were identified, with 470 receiving fluoxetine only (280 women [59.6%]; mean [SD] age, 58.5 [18.1] years), 481 receiving fluoxetine or fluvoxamine (285 women [59.3%]; mean [SD] age, 58.7 [18.0] years), and 2898 receiving other SSRIs (1733 women [59.8%]; mean [SD] age, 64.7 [18.0] years) within a defined time frame. When compared with matched untreated control patients, relative risk (RR) of mortality was reduced among patients prescribed any SSRI (497 of 3401 [14.6%] vs 1130 of 6802 [16.6%]; RR, 0.92 [95% CI, 0.85-0.99]; adjusted P = .03); fluoxetine (46 of 470 [9.8%] vs 937 of 7050 [13.3%]; RR, 0.72 [95% CI, 0.54-0.97]; adjusted P = .03); and fluoxetine or fluvoxamine (48 of 481 [10.0%] vs 956 of 7215 [13.3%]; RR, 0.74 [95% CI, 0.55-0.99]; adjusted P = .04). The association between receiving any SSRI that is not fluoxetine or fluvoxamine and risk of death was not statistically significant (447 of 2898 [15.4%] vs 1474 of 8694 [17.0%]; RR, 0.92 [95% CI, 0.84-1.00]; adjusted P = .06).Conclusions and relevanceThese results support evidence that SSRIs may be associated with reduced severity of COVID-19 reflected in the reduced RR of mortality. Further research and randomized clinical trials are needed to elucidate the effect of SSRIs generally, or more specifically of fluoxetine and fluvoxamine, on the severity of COVID-19 outcomes.

ObjectiveTo improve food insecurity interventions, we sought to better understand the hypothesized bidirectional relationship between food insecurity and health care expenditures.Data sourceNationally representative sample of the civilian noninstitutionalized population of the United States (2016-2017 Medical Expenditure Panel Survey [MEPS]).Study designIn a retrospective longitudinal cohort, we conducted two sets of analyses: (a) two-part models to examine the association between food insecurity in 2016 and health care expenditures in 2017; and (b) logistic regression models to examine the association between health care expenditures in 2016 and food insecurity in 2017. We adjusted for demographic and socioeconomic variables as well as 2016 health care expenditures and food insecurity.Data collectionHealth care expenditures, food insecurity, and medical condition data from 10 886 adults who were included in 2016-2017 MEPS.Principal findingsFood insecurity in 2016, compared with being food secure, was associated with both a higher odds of having any health care expenditures in 2017 (OR 1.29, 95% CI: 1.04 to 1.60) and greater total expenditures ($1738.88 greater, 95% CI: $354.10 to $3123.57), which represents approximately 25% greater expenditures. Greater 2016 health care expenditures were associated with slightly higher odds of being food insecure in 2017 (OR 1.007 per $1000 in expenditures, 95% CI: 1.002 to 1.012, P =0.01). Exploratory analyses suggested that poor health status may underlie the relationship between food insecurity and health care expenditures.ConclusionsA bidirectional relationship exists between food insecurity and health care expenditures, but the strength of either direction appears unequal. Higher health care expenditures are associated with a slightly greater risk of being food insecure (adjusted for baseline food insecurity status) but being food insecure is associated with substantially greater subsequent health care expenditures (adjusted for baseline health care expenditures). Interventions to address food insecurity and poor health may be helpful to break this cycle.

Background Polypharmacy is common among hospitalized patients with infectious infections owing to comorbidities or concomitant illnesses. This raises the likelihood of drug-drug interactions and creates uncertainty for healthcare providers. This study aimed to assess the potential drug-drug interactions (pDDIs) among hospitalized patients with infectious diseases in a secondary care hospital. Methods A prospective observational study was conducted in the internal medicine ward for six months after the ethics committee’s approval. Data were collected from patient case records, and prescriptions were screened for pDDIs from a portable electronic physician information database (PEPID) resource analyzed using SPSS, version 27.0. Results In total, 148 patient case records were analyzed, and 549 pDDIs were identified, with 66.8% having at least one or more DDIs. The mean number of drug interactions was 3.70 ± 4.58 per prescription. The most frequently encountered drug interactions were drug combinations such as bisoprolol with atorvastatin and aspirin with tazobactam/piperacillin. Bivariate analysis showed that age, comorbidities, length of hospital stay, and the number of drugs prescribed were risk factors associated with DDIs (p Conclusions This study observed the prevalence of DDIs in hospitalized patients with infectious diseases of ‘moderate’ severity. Prescription screening using a drug information database assists in early identification and prevention of DDIs, enhancing drug safety and quality of patient-centered care.

Abstract Background The non-medical use of prescription drugs is a growing public health problem worldwide. Recent trends in Cameroon show that the use of psychoactive substances, among which are prescription drugs by adolescents is becoming a public health issue and is linked to juvenile delinquency and violence in schools. However, there is a paucity of data on the burden of this phenomenon among adolescent secondary school students in the country. The aim of this study was to determine the prevalence and factors associated with the use of non-prescription drugs in secondary schools in Buea, South West region of Cameroon. Methods We conducted a cross-sectional study from 1st February 2021 to 30th April 2021. Secondary school students were recruited using a multistage stratified cluster sampling. A modified and standardized version of the World Health Organization student drug-use survey model questionnaire was used. Ethical approval was obtained from the Institutional Review Board of the Faculty of Health Sciences, University of Buea (No. 2021/1273–02/UB/SG/IRB/FHS). The Statistical Package for Social Sciences, IBM SPSS Statistics for Windows, Version 25.0. was used for data analysis. Descriptive statistics were used to describe the sociodemographic characteristics of participants. Univariate and multivariate logistic regression models were used to explore associated factors of non-medical use of prescription drugs. Results A total of 570 participants were enrolled for the study, and 510 participants responded giving a response rate of 89.5%. The prevalence of non-medical use of prescription drugs was 15.3%, tramadol being the most used. Motivators for non-medical use of prescription drugs were “to work longer”, “to be courageous”, and “curiosity”. Logistic regression results showed that alcohol consumption [OR 3.68; 95% CI: 2.24–6.06; p

Background: Inappropriate use of medications is a global health concern, and this is attributed to the increased accessibility to prescription and non-prescription (over-the-counter) drugs at community pharmacies. We investigated the inappropriate use of prescription and non-prescription drugs in community pharmacies based on the perspectives of the community pharmacists in Saudi Arabia. Methods: This was a questionnaire-based, cross-sectional survey which employed convenient sampling (snowball technique) to recruit participants. Being a licensed practicing pharmacist in a retail chain or an independent community pharmacy was the inclusion criteria. Participants were asked to report the drugs they suspected of being inappropriately used along with the frequency, age and gender of the suspected customers. Pharmacists were also asked to mention the action taken to limit inappropriate use at their pharmacy. Results: A total of 397 community pharmacists completed the questionnaire (86.9 % response rate). 86.4% of the pharmacists suspected some level of abuse or misuse to have occurred. After receiving the questionnaire, the pharmacists reported suspected inappropriate use as encountered during the past three months. Cumulative inappropriate use was reported 1069 times (prescription drugs – 530; non-prescription drugs – 539). The top three inappropriately used prescription-drug categories were gabapentinoids (22.5%), antipsychotics (17.5%) and topical corticosteroids (12.1%). Among non-prescription drugs, cough products (33.2%) ranked first, followed by cold and flu products (29.5%) and first-generation antihistamines (10.8%). The cross tabulations revealed that being in the age range of 26–50 years and being a male was significantly associated (p

Background: Brand-name prescription drugs are an important driver of prescription drug spending, but different payers may bear these costs differentially necessitating different policy goals for each payer. But little is known about how the top 10 selling drugs in the U.S. impact spending across payers. Objective: To estimate the differential spending burden of top prescription drugs on Medicaid, Medicare, commercial coverage, and out-of-pocket (OOP) spending. Methods: The percentage of total prescription drug spending, total spending, total prescriptions, and average cost per prescription overall and for each of the following payers – Medicaid, Medicare, private insurance, and OOP – was calculated for each of the top 10 selling prescription drugs using 2017–2019 Medical Expenditure Panel Survey data. Results: These 10 prescription drugs accounted for average annual spending of $83.4 billion and 19.0% of all prescription drug spending. Medicare tended to contribute the highest fraction of spending. The average annual cost per prescription ranged from $500 for Advair to $7400 for Tecfidera. Significant variation in the average annual number of prescriptions filled was observed, ranging from 1.4 million for Tecfidera to 13.6 million for Lantus. Conclusions: The findings highlight the significant impact of the top 10 selling prescription drugs on U.S. prescription drug spending. The wide variation in per prescription cost as well as contribution to each payer's prescription drug burden emphasizes how policies targeting top-selling drugs may differentially impact payers as well as how payer-specific policies may differ substantially even for top selling drugs.

This article discusses the payments made by pharmaceutical companies to Australian doctors and healthcare professionals. These payments are typically in the form of consultancy fees, sponsorship for educational events, and coverage of travel and accommodation expenses. The article highlights that Medicines Australia, an industry body representing most pharmaceutical companies, requires its members to disclose the details of these payments. The data from the most recent three years shows that 4.9% of all registered doctors in Australia received payments totaling $33.44 million. The specialties receiving the highest total payments were haematology/oncology, cardiology, and endocrinology. The article emphasizes the need for greater transparency in reporting these payments and encourages doctors to reflect on their relationships with the pharmaceutical industry. [Extracted from the article]

A short primer for students entering the health professions, this article provides an overview of the history of therapeutic drugs, from antiquity to modern pharmacology.

An illustrated history of drugs developed for medicinal use from antiquity to modern pharmaceuticals. A primer for health professional students.

Computational models based on recent maps of the RBC proteome suggest that mature erythrocytes may harbor targets for common drugs. This prediction is relevant to RBC storage in the blood bank, in which the impact of small molecule drugs or other xenometabolites deriving from dietary, iatrogenic, or environmental exposures ("exposome") may alter erythrocyte energy and redox metabolism and, in so doing, affect red cell storage quality and posttransfusion efficacy. To test this prediction, here we provide a comprehensive characterization of the blood donor exposome, including the detection of common prescription and over-the-counter drugs in blood units donated by 250 healthy volunteers in the Recipient Epidemiology and Donor Evaluation Study III Red Blood Cell-Omics (REDS-III RBC-Omics) Study. Based on high-throughput drug screenings of 1366 FDA-approved drugs, we report that approximately 65% of the tested drugs had an impact on erythrocyte metabolism. Machine learning models built using metabolites as predictors were able to accurately predict drugs for several drug classes/targets (bisphosphonates, anticholinergics, calcium channel blockers, adrenergics, proton pump inhibitors, antimetabolites, selective serotonin reuptake inhibitors, and mTOR), suggesting that these drugs have a direct, conserved, and substantial impact on erythrocyte metabolism. As a proof of principle, here we show that the antacid ranitidine - though rarely detected in the blood donor population - has a strong effect on RBC markers of storage quality in vitro. We thus show that supplementation of blood units stored in bags with ranitidine could - through mechanisms involving sphingosine 1-phosphate-dependent modulation of erythrocyte glycolysis and/or direct binding to hemoglobin - improve erythrocyte metabolism and storage quality.

BackgroundThe Affordable Care Act expanded Medicaid eligibility allowing low-income individuals greater access to health care. However, the uptake of state Medicaid expansion has been variable. It remains unclear how the Medicaid expansion was associated with the temporal trends in use of evidence-based cardiovascular drugs.MethodsWe used the publicly available Medicaid Drug Utilization and Current Population Survey to extract filled prescription rates per 1000 Medicaid beneficiaries of statins, antihypertensives, P2Y12 inhibitors, and direct oral anticoagulants. We defined expander states as those who expanded Medicaid on or before January 1, 2014, and nonexpander states as those who had not expanded by December 31, 2018. Difference-in-differences (DID) analyses were performed to compare the association of the Medicaid expansion with per-capita cardiovascular drug prescription rates in expander versus nonexpander states.ResultsBetween 2011 and 2018, the total number of prescriptions among all Medicaid beneficiaries increased, with gains of 89.7% in statins (11.0 to 20.8 million), 76% in antihypertensives (35.3 to 62.2 million), and 37% in P2Y12 inhibitors (1.7 to 2.3 million). Medicaid expansion was associated with significantly greater increases in quarterly prescriptions (per 1000 Medicaid beneficiaries) of statins (DID estimate [95% CI]: 22.5 [16.5-28.6], P75% of the expander states had increases in prescription rates of both statins and antihypertensives. In contrast, 44% of nonexpander states saw declines in statins and antihypertensives. The Medicaid expansion was not associated with higher direct oral anticoagulants prescription rates (DID estimate [95% CI] 0.9 [-0.3 to 2.1], P=0.142).ConclusionsThe 2014 Medicaid expansion was associated with a significant increase in per-capita utilization of cardiovascular prescription drugs among Medicaid beneficiaries. These gains in utilization may contribute to long-term cardiovascular benefits to lower-income and previously underinsured populations.

Policy PointsThe increasing number of drugs granted accelerated approval by the Food and Drug Administration (FDA) has challenged the Medicare program, which often pays for expensive therapies despite substantial uncertainty about benefits and risks to Medicare beneficiaries.We recommend several administrative and legislative approaches for improving FDA–Centers for Medicare and Medicaid Services (CMS) coordination around accelerated‐approval drugs, including promoting earlier discussions among the FDA, the CMS, and drug companies; strengthening Medicare's coverage with evidence development program; linking Medicare payment to evidence generation milestones; and ensuring that the CMS has adequate staffing and resources to evaluate new therapies.These activities can help improve the integrity; transparency; and efficiency of approval, coverage, and payment processes for drugs granted accelerated approval. Context: The Food and Drug Administration (FDA)'s accelerated‐approval pathway expedites patient access to promising treatments. However, increasing use of this pathway has challenged the Medicare program, which often pays for expensive therapies despite substantial uncertainty about benefits and risks to Medicare beneficiaries. We examined approaches to improve coordination between the FDA and Centers for Medicare and Medicaid Services (CMS) for drugs granted accelerated approval. Methods: We argue that policymakers have focused on expedited pathways at the FDA without sufficient attention to complementary policies at the CMS. Although differences between the FDA and CMS decisions are to be expected given the agencies' different missions and statutory obligations, procedural improvements can ensure that Medicare beneficiaries have timely access to novel therapies that are likely to improve health outcomes. To inform policy options and recommendations, we conducted semistructured interviews with stakeholders to capture diverse perspectives on the topic. Findings: We recommend ten areas for consideration: clarifying the FDA's evidentiary standards; strengthening FDA authorities; promoting earlier discussions among the FDA, the CMS, and drug companies; improving Medicare's coverage with evidence development program; tying Medicare payment for accelerated‐approval drugs to evidence generation milestones; issuing CMS guidance on real‐world evidence; clarifying Medicare's "reasonable and necessary" criteria; adopting lessons from international regulatory‐reimbursement harmonization efforts; ensuring that the CMS has adequate staffing and expertise; and emphasizing equity. Conclusions: Better coordination between the FDA and CMS could improve the transparency and predictability of drug approval and coverage around accelerated‐approval drugs, with important implications for patient outcomes, health spending, and evidence generation processes. Improved coordination will require reforms at both the FDA and CMS, with special attention to honoring the agencies' distinct authorities. It will require administrative and legislative actions, new resources, and strong leadership at both agencies. [ABSTRACT FROM AUTHOR]

A series of structural constitutional arguments lodged in multiple cases against Centers for Medicare and Medicaid Services' (CMS) authorities to negotiate prescription drug prices via the 2022 Inflation Reduction Act threaten the legitimacy of CMS program and federal agency powers. [ABSTRACT FROM AUTHOR]

Background: Prescription drug misuse among youth aged 12–18 remains high in the United States. Grounded in Social Norms Theory, school-based curricula have been shown to effectively challenge students' misperceptions of peer norms and safety regarding prescription drug misuse (PDM). Objective: The present study is a quasi-experimental evaluation of a brief, no cost, school-based prescription drug safety program. Methods: Participants included 94 teachers and their students (n = 2325) in grades 8 through 12. Teachers (and their students) were assigned to experimental or control conditions. Using a pre-/post-survey design, we examined whether the curriculum promoted growth in five key student outcomes: Personal Responsibility, Social Norms, Knowledge, Future Actions, and Refusal Skills. Student demographic characteristics and prescription drug history were examined as moderators of growth. Within the experimental group, variation in implementation factors such as teachers' prior experience with the program and perceptions of student engagement were examined as moderators of the effectiveness of the curriculum. Results: Multilevel models demonstrated equitable growth in Personal Responsibility, Social Norms, Knowledge, Future Actions, and Refusal Skills across gender, race, and other demographic characteristics. Students' prescription drug history was not associated with growth on the five key outcomes. Growth in Personal Responsibility, Social Norms, Knowledge, and Future Actions was maintained in a one-month follow-up survey. Teacher perceptions of student engagement were associated with lower growth in Social Norms. Conclusions: The findings suggest promising implications for the scalability of an effective, brief, no cost, technology-based intervention targeting adolescent PDM. [ABSTRACT FROM AUTHOR]

In this review, we examine the impact of the Inflation Reduction Act (IRA) of 2022 on pharmaceutical drugs in the United States, drawing on a diverse range of sources to understand the perceptions of multiple stakeholders and professionals. Findings suggest that the Act, while aiming to control price inflation, has had a multifaceted impact on the pharmaceutical sector. Stakeholders, including pharmaceutical companies, healthcare providers, patient advocacy groups, and policymakers, offered varied perspectives: while some laud the Act for its potential in controlling runaway drug prices and making healthcare more accessible, others raise concerns about possible reductions in drug innovation, disruptions to supply chains, and the sustainability of smaller pharmaceutical companies. The review identified four underlying constructs (themes) in the literature surrounding healthcare stakeholders' perceptions of the IRA's impact upon prescription drugs: pricing and/or dictation pricing issues, topics related to patent law and pharmaceuticals, processes surrounding the IRA's (2022) rules and regulations, and potential threats to the pharmaceutical industry concerning the research and development of future medications. The complex interplay of the Act's implications underscores the importance of ongoing assessment and potential iterative policy refinements as implementation endures. [ABSTRACT FROM AUTHOR]

Purpose: We examined the association between polypharmacy—an established risk factor for nonadherence in the elderly—and medication fill nonadherence in a large national sample of adolescent and young adult cancer survivors (AYAs) in the USA. Methods: We pooled data (2008–2017) from the Medical Expenditure Panel Survey. We defined polypharmacy as ≥ 3 unique medications prescribed, based on self-report and pharmacy data, and medication fill nonadherence as self-reported delay or inability to obtain a necessary medication. We estimated prevalence of medication fill nonadherence among AYAs (age 18–39 years with a cancer history). We used logistic regression to estimate the association between (1) polypharmacy and medication fill nonadherence in AYAs, and (2) total number of medications prescribed and medication fill nonadherence, controlling for sex, number of chronic conditions, disability, and survey year. Results: AYAs (n = 598) were predominantly female (76.2%), age 30–39 years (64.9%), and non-Hispanic White (72.1%). Nearly half were poor (19.0%) or near-poor/low income (21.6%). One in ten AYAs reported medication fill nonadherence (9.75%). Of these, more than 70% cited cost-related barriers as the reason. AYAs with polypharmacy had 2.49 times higher odds of medication fill nonadherence (95%CI 1.11–5.59), compared to those without polypharmacy. Odds of medication fill nonadherence increased by 16% with each additional medication prescribed (AOR 1.16, 95% CI 1.07–1.25). Conclusions: Polypharmacy may be an important risk factor for medication fill nonadherence in AYAs in the USA. Implications for Cancer Survivors: Improving AYAs' medication adherence requires eliminating cost-related barriers, particularly for those with polypharmacy. [ABSTRACT FROM AUTHOR]