Extent and causes of unused medications among patients in rural Ethiopia: a prospective multicenter cohort study.

BACKGROUND: Medication waste poses health, economic, and environmental challenges. However, the extent among patients living in rural areas is underexplored. This study assessed the proportion of prescribed medications remaining unused by patients living in rural areas of Ethiopia, and identify the causes thereof and disposal practices. METHODS: A prospective multicenter cohort study was conducted in 5 rural health centers in Ethiopia. Patients (≥ 18 years), who received a prescription for acute or chronic medication for pick up from the outpatient pharmacy were included. After 3 months, participants received a house visit by a health employee during which a questionnaire was verbally administered to assess the quantity of unused medication, reason thereof, and disposal practices used. Data were analyzed using descriptive statistics and multivariate logistic regression to identify factors associated with presence of unused medications. RESULTS: In total, 178 patients participated. Up to 136 out of 601 (22.6%) dispensed medications ended up unused, mainly antibiotics and analgesics, with an average economic value of $0.37. Of 178 patients, 72 (40.4%) ended up with unused medication, and 15 (8.4%) did not use 80% or more of the prescribed quantity. Early discontinuation of therapy was the main reason (61.8%) for patients' ending with unused medication. Patients reported to primarily dispose of unused medication either through the toilet (43.6%), household garbage (22.7%), burning (13.6%), or returning it to the pharmacy (2.7%). Medications dispensed to be administered with two or more-unit doses at a time were more likely to remain unused (adjusted OR 1.6 [1.0-3.4]) compared to medications dispensed to be administered one-unit dose. CONCLUSION: A substantial amount of prescribed medications remains unused by patients in rural areas, frequently not properly disposed. Interventions are needed to ensure medications are not wasted and reduce the unwanted consequences.

Dispensed drugs during pregnancy in outpatient care between 2015 and 2021 in Switzerland: a retrospective analysis of Swiss healthcare claims data.

AIM OF THE STUDY: We aimed to evaluate the utilisation of all prescribed drugs during pregnancy dispensed in outpatient care in Switzerland between 2015 and 2021. METHODS: We conducted a descriptive study using the Swiss Helsana claims database (2015-2021). We established a cohort of pregnancies by identifying deliveries and estimating the date of the last menstrual period. We analysed the drug burden during a 270-day pre-pregnancy period, during pregnancy (overall and by trimester), and during a 270-day postpartum period. Subsequently, we quantified 1) the median number of drug dispensations (total vs. unique drug claims); and 2) the prevalence of exposure to at least one dispensed drug and the number of dispensed drugs (0, 1, 2, 3, 4, and ≥5); and 3) the 15 most frequently dispensed drugs were identified during each period, overall and stratified by maternal age. RESULTS: Among 34,584 pregnant women (5.6% of all successful pregnancies in Switzerland), 87.5% claimed at least one drug (not including vitamins, supplements, and vaccines), and 33.3% claimed at least five drugs during pregnancy. During trimester 1 alone, 8.2% of women claimed at least five distinct drugs. The proportion of women who claimed prescribed drugs was lower pre-pregnancy (69.1%) and similar postpartum (85.6%) when compared to during pregnancy (87.5%). The most frequently claimed drugs during pregnancy were meaningfully different during pregnancy than before and after. CONCLUSIONS: This study suggests that 8 of 10 women in Switzerland are exposed to prescribed drugs during pregnancy. Most drugs dispensed during pregnancy are comparatively well investigated and are considered safe. However, the high drug burden in this vulnerable patient population underlines the importance of evidence on the benefit-risk profile of individual drugs taken during pregnancy.

The Medicines Intelligence Data Platform: A Population-Based Data Resource From New South Wales, Australia.

BACKGROUND: The Medicines Intelligence (MedIntel) Data Platform is an anonymised linked data resource designed to generate real-world evidence on prescribed medicine use, effectiveness, safety, costs and cost-effectiveness in Australia. RESULTS: The platform comprises Medicare-eligible people who are ≥18 years and residing in New South Wales (NSW), Australia, any time during 2005-2020, with linked administrative data on dispensed prescription medicines (Pharmaceutical Benefits Scheme), health service use (Medicare Benefits Schedule), emergency department visits (NSW Emergency Department Data Collection), hospitalisations (NSW Admitted Patient Data Collection) plus death (National Death Index) and cancer registrations (NSW Cancer Registry). Data are currently available to 2022, with approval to update the cohort and data collections annually. The platform includes 7.4 million unique people across all years, covering 36.9% of the Australian adult population; the overall population increased from 4.8 M in 2005 to 6.0 M in 2020. As of 1 January 2019 (the last pre-pandemic year), the cohort had a mean age of 48.7 years (51.1% female), with most people (4.4 M, 74.7%) residing in a major city. In 2019, 4.4 M people (73.3%) were dispensed a medicine, 1.2 M (20.5%) were hospitalised, 5.3 M (89.4%) had a GP or specialist appointment, and 54 003 people died. Anti-infectives were the most prevalent medicines dispensed to the cohort in 2019 (43.1%), followed by nervous system (32.2%) and cardiovascular system medicines (30.2%). CONCLUSION: The MedIntel Data Platform creates opportunities for national and international research collaborations and enables us to address contemporary clinically- and policy-relevant research questions about quality use of medicines and health outcomes in Australia and globally.

Analyzing Potential Interactions Between Complementary and Alternative Therapies, Over-the-Counter, and Prescription Medications in the Older Population.

BACKGROUND: The escalating use of complementary and alternative medicine (CAM) raises concerns, particularly among geriatric patients taking multiple medications. Notably, the doubled chance of major drug interactions between prescription and over-the-counter (OTC) drugs in older adults underscores the need for further research. This study aimed to evaluate clinically significant CAM and prescription medication interactions in a geriatric clinic, emphasizing the growing importance of understanding CAM implications in health care. METHODS: A 2-year cross-sectional study, approved by the Institutional Review Board, enrolled 420 participants aged 65 and older from a geriatric primary care clinic. Participants completed a survey, and pharmacy students conducted chart reviews to evaluate potential CAM products and prescription medication interactions. RESULTS: Among the 420 participants-who were predominantly White females and who were taking supplements, OTC medications, or both-15.6% experienced potential drug interactions. Ginkgo biloba, garlic, and calcium were common contributors to major, moderate, and minor interactions, respectively, among supplements. Meanwhile, ibuprofen was among the contributors to major and moderate interactions among OTC medications. Most supplements and OTC medications were disclosed to health care professionals. However, there was a lack of investigation by health care professionals regarding CAM use, emphasizing a discrepancy between patient-reported and physician-inquired CAM usage. CONCLUSION: This study highlighted the significant use of CAM and/or OTC medications, particularly among vulnerable older adults, revealing a concerning 15.6% rate of potential drug interactions. The findings emphasized the need for awareness among health care practitioners and standardized CAM surveys to enhance accuracy and patient safety.

Prescription medication use in the 10 years prior to diagnosis of young onset Alzheimer's disease: a nationwide nested case-control study.

BACKGROUND: Patients with young onset Alzheimer's disease (YOAD) face long diagnostic delays. Prescription medication use may provide insights into early signs and symptoms, which may help facilitate timely diagnosis. METHODS: In a register-based nested case-control study, we examined medication use for everyone diagnosed with YOAD in a Danish memory clinic during 2016-2020 compared to cognitively healthy controls. Prescription medication use were grouped into 13 overall categories (alimentary tract and metabolism, blood and blood forming organs, cardiovascular system, dermatologicals, genitourinary system and sex hormones, systemic hormonal preparations, antiinfectives for systemic use, antineoplastic and immunomodulating agents, musculo-skeletal system, nervous system, antiparasitic products, respiratory system, and sensory organs). Further stratifications were done for predetermined subcategories with a use-prevalence of at least 5% in the study population. Conditional logistic regression produced odds ratios, which given the use of incidence-density matching is interpretable as incidence rate ratios (IRRs). The association between prescription medication use and subsequent YOAD diagnosis was examined in the entire 10-year study period and in three time-intervals. RESULTS: The study included 1745 YOAD cases and 5235 controls. In the main analysis, several overall categories showed significant associations with YOAD in one or more time-intervals, namely blood and blood forming organs and nervous system. Prescription medication use in the nervous system category was increased for YOAD cases compared to controls already 10->5 years prior to diagnosis (IRR 1.17, 95% CI 1.05-1.31), increasing to 1.57 (95% CI 1.39-1.78) in the year preceding diagnosis. This was largely driven by antidepressant and antipsychotic use, and especially prominent for first-time users. CONCLUSIONS: In this study, medication use in several categories was associated with YOAD. Onset of treatment-requiring psychiatric symptoms such as depression or psychosis in mid-life may serve as potential early indicators of YOAD.

Prescription Medications and Overall Survival in Metastatic Hormone Sensitive Prostate Cancer.

BACKGROUND/AIM: With new therapies for metastatic prostate cancer, patients are living longer, increasing the need for better understanding of the impact of comorbid disease. Prescription medications may risk-stratify patients independent of established methods, such as the Charlson Comorbidity Index (CCI) and guide treatment selection. PATIENTS AND METHODS: In a nationwide retrospective study of US Veterans, we used multivariable logistic regression and Cox proportional hazard modeling to evaluate the association between number and class of prescription medications and overall survival (OS) with age, race, body-mass index, prostate specific antigen (PSA), and Charlson comorbidities as covariates in veterans treated for de novo metastatic hormone sensitive prostate cancer (mHSPC) between 2010-2021. RESULTS: Among 8,434 Veterans, a median of nine medications and five medication classes were filled in the year prior to initial treatment with abiraterone or enzalutamide for mHSPC. Veterans on 1-4 medications had an average survival of 38 months compared to 5-9 medicines (33 months), 10-14 medicines (27 months), and 15+ medicines (22 months) (p<0.001). After adjusting for age, race, body mass index (BMI), PSA, CCI, and year of diagnosis, both the number of medications and medication classes were associated with increased mortality. The adjusted hazard ratio (aHR) [95% confidence interval (CI)] was 1.03 (1.02-1.03) for the number of medications and 1.05 (1.04-1.07) for medication classes. Medications within ATC B (blood/blood forming organs), ATC C (cardiovascular), and ATC N (nervous) were associated with worse OS, with aHRs of 1.14 (1.07, 1.21), 1.14 (1.06, 1.22), and 1.12 (1.06, 1.19), respectively. CONCLUSION: The number and class of medications were independently associated with overall survival in patients undergoing treatment for mHSPC. With new therapies for advanced prostate cancer, patients are living longer, highlighting the need for a better understanding of the impact of comorbid diseases. Simple methods to assess disease burden and prognosticate survival have the potential to guide treatment decisions.

Prescription Medication Use in Pregnancy in People with Disabilities: A Population-Based Cohort Study.

Background: Individuals with disabilities may require specific medications in pregnancy. The prevalence and patterns of medication use, overall and for medications with known teratogenic risks, are largely unknown. Methods: This population-based cohort study in Ontario, Canada, 2004-2021, comprised all recognized pregnancies among individuals eligible for public drug plan coverage. Included were those with a physical (n = 44,136), sensory (n = 13,633), intellectual or developmental (n = 2,446) disability, or multiple disabilities (n = 5,064), compared with those without a disability (n = 299,944). Prescription medication use in pregnancy, overall and by type, was described. Modified Poisson regression generated relative risks (aRR) for the use of medications with known teratogenic risks and use of ≥2 and ≥5 medications concurrently in pregnancy, comparing those with versus without a disability, adjusting for sociodemographic and clinical factors. Results: Medication use in pregnancy was more common in people with intellectual or developmental (82.1%), multiple (80.4%), physical (73.9%), and sensory (71.9%) disabilities, than in those with no known disability (67.4%). Compared with those without a disability (5.7%), teratogenic medication use in pregnancy was especially higher in people with multiple disabilities (14.2%; aRR 2.03, 95% confidence interval [CI]: 1.88-2.20). Furthermore, compared with people without a disability (3.2%), the use of ≥5 medications concurrently was more common in those with multiple disabilities (13.4%; aRR 2.21, 95% CI: 2.02-2.41) and an intellectual or developmental disability (9.3%; aRR 2.13, 95% CI: 1.86-2.45). Interpretation: Among people with disabilities, medication use in pregnancy is prevalent, especially for potentially teratogenic medications and polypharmacy, highlighting the need for preconception counseling/monitoring to reduce medication-related harm in pregnancy.

Prescription Medication Use Among Older Adults in the US.

This survey study describes changes in the use of prescription medications in individuals aged 65 years or older from 1999 through March 2020.

School closures and prescription medication use among children and adolescents before and during the COVID-19 pandemic in the USA, 2019-2022.

The impact of schools closing for in-person instruction in the USA during the COVID-19 pandemic on the use of prescription medications is not known. In this study, we examined changes in the total prescriptions filled, specifically for attention deficit hyperactivity disorder (ADHD) medications, among school-aged children and adolescents aged 10-19 years during periods before and after complete school closures between October 2019 and September 2022. Our findings indicate that complete school closures were associated with declines in the use of ADHD medications among younger populations in the USA. These findings suggest that the underuse of ADHD medications may be an overlooked contributor to declines in academic performance observed during periods of school closures during the COVID-19 pandemic.

Changes in Health Care and Prescription Medication Affordability in the US During the COVID-19 Pandemic.

Importance: In the US, the COVID-19 pandemic led to a significant rise in unemployment and economic loss that disproportionately impacted low-income individuals. It is unknown how health care and prescription medication affordability changed among low-income adults during the COVID-19 pandemic overall and compared with their higher-income counterparts. Objective: To evaluate changes in health care affordability and prescription medication affordability during the COVID-19 pandemic (2021 and 2022) compared with pre-COVID-19 pandemic levels (2019) and whether income-based inequities changed. Design, Setting, and Participants: This retrospective cross-sectional study included adults 18 years and older participating in the National Health Interview Survey (NHIS) in 2019, 2021, and 2022. Low-income adults were defined as having a household income of 200% or less of the federal poverty level (FPL); middle-income adults, 201% to 400% of the FPL; and high-income adults, more than 400% of the FPL. Data were analyzed from June to November 2023. Main Outcomes and Measures: Measures of health care affordability and prescription medication affordability. Results: The study population included 89 130 US adults. Among the weighted population, 51.6% (95% CI, 51.2-52.0) were female, and the mean (SD) age was 48.0 (0.12) years. Compared with prepandemic levels, during the COVID-19 pandemic, low-income adults were less likely to delay medical care (2022: 11.2%; 95% CI, 10.3-12.1; 2019: 15.4%; 95% CI, 14.3-16.4; adjusted relative risk [aRR], 0.73; 95% CI, 0.66-0.81) or avoid care (2022: 10.7%; 95% CI, 9.7-11.6; 2019: 14.9%; 95% CI, 13.8-15.9; aRR, 0.72; 95% CI, 0.64-0.80) due to cost, while high-income adults experienced no change, resulting in a significant improvement in income-based disparities. Low-income and high-income adults were less likely to experience problems paying medical bills but experienced no change in worrying about medical bills during the COVID-19 pandemic compared with prepandemic levels. Across measures of prescription medication affordability, low-income adults were less likely to delay medications (2022: 9.4%; 95% CI, 8.4-10.4; 2019: 12.7%; 95% CI, 11.6-13.9; aRR, 0.74; 95% CI, 0.65-0.84), not fill medications (2022: 8.9%; 95% CI, 8.1-9.8; 2019: 12.0%; 95% CI, 11.1-12.9; aRR, 0.75; 95% CI, 0.66-0.83), skip medications (2022: 6.7%; 95% CI, 5.9-7.6; 2019: 10.1%; 95% CI, 9.1-11.1; aRR, 0.67; 95% CI, 0.57-0.77), or take less medications (2022: 7.3%; 95% CI, 6.4-8.1; 2019: 11.2%; 95% CI, 10.%-12.2; aRR, 0.65; 95% CI, 0.56-0.74) due to costs, and these patterns were largely similar among high-income adults. Improvements in measures of health care and prescription medication affordability persisted even after accounting for changes in health insurance coverage and health care use. These patterns were similar when comparing measures of affordability in 2021 with 2019. Conclusions and Relevance: Health care affordability improved for low-income adults during the COVID-19 pandemic, resulting in a narrowing of income-based disparities, while prescription medication affordability improved for all income groups. These findings suggest that the recent unwinding of COVID-19 pandemic-related safety-net policies may worsen health care affordability and widen existing income-based inequities.

Prescribed Drug Use and Aneurysmal Subarachnoid Hemorrhage Incidence: A Drug-Wide Association Study.

BACKGROUND AND OBJECTIVES: Current benefits of invasive intracranial aneurysm treatment to prevent aneurysmal subarachnoid hemorrhage (aSAH) rarely outweigh treatment risks. Most intracranial aneurysms thus remain untreated. Commonly prescribed drugs reducing aSAH incidence may provide leads for drug repurposing. We performed a drug-wide association study (DWAS) to systematically investigate the association between commonly prescribed drugs and aSAH incidence. METHODS: We defined all aSAH cases between 2000 and 2020 using International Classification of Diseases codes from the Secure Anonymised Information Linkage databank. Each case was matched with 9 controls based on age, sex, and year of database entry. We investigated commonly prescribed drugs (>2% in study population) and defined 3 exposure windows relative to the most recent prescription before index date (i.e., occurrence of aSAH): current (within 3 months), recent (3-12 months), and past (>12 months). A logistic regression model was fitted to compare drug use across these exposure windows vs never use, controlling for age, sex, known aSAH risk factors, and health care utilization. The family-wise error rate was kept at p < 0.05 through Bonferroni correction. RESULTS: We investigated exposure to 205 commonly prescribed drugs between 4,879 aSAH cases (mean age 61.4, 61.2% women) and 43,911 matched controls. We found similar trends for lisinopril and amlodipine, with a decreased aSAH risk for current use (lisinopril odds ratio [OR] 0.63, 95% CI 0.44-0.90, amlodipine OR 0.82, 95% CI 0.65-1.04) and an increased aSAH risk for recent use (lisinopril OR 1.30, 95% CI 0.61-2.78, amlodipine OR 1.61, 95% CI 1.04-2.48). A decreased aSAH risk in current use was also found for simvastatin (OR 0.78, 95% CI 0.64-0.96), metformin (OR 0.58, 95% CI 0.43-0.78), and tamsulosin (OR 0.55, 95% CI 0.32-0.93). By contrast, an increased aSAH risk was found for current use of warfarin (OR 1.35, 95% CI 1.02-1.79), venlafaxine (OR 1.67, 95% CI 1.01-2.75), prochlorperazine (OR 2.15, 95% CI 1.45-3.18), and co-codamol (OR 1.31, 95% CI 1.10-1.56). DISCUSSION: We identified several drugs associated with aSAH, of which 5 drugs (lisinopril and possibly amlodipine, simvastatin, metformin, and tamsulosin) showed a decreased aSAH risk. Future research should build on these signals to further assess the effectiveness of these drugs in reducing aSAH incidence. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that some commonly prescribed drugs are associated with subsequent development of aSAH.

Prescription medication use among patients with type 2 diabetes in the United States: 1999-2020.

AIMS: We aimed to examine trends in overall prescription medication use among patients with type 2 diabetes in the United States to provide insights for patient care. MATERIALS AND METHODS: We used nationally representative data from the National Health and Nutrition Examination Survey from 1999 to 2020 and included adult patients with type 2 diabetes. We examined the use of prescription drugs, overall and by drug class, polypharmacy (use of ≥5 medications), and number of medications attributed to specific classes. RESULTS: In the period 2015-2020, the mean patient age was 59.6 (51.0-70.0) years, with 46.8% (43.6-49.9) being female and 57.8% (52.8-62.8) being non-Hispanic White. Among 9489 adults with type 2 diabetes, the prevalence of polypharmacy was high and increased from 35.1% (31.6-38.6) in 1999-2002 to 47.2% (43.7-50.7) in 2003-2006, and further to 51.1% (48.3-53.9) in 2015-2020 (p for trend <0.001). Increasing trends of polypharmacy were found across all population subgroups and across the majority of therapeutic classes. Use of non-cardiometabolic medications was common. Among them, the most common were antidepressants (19.8%), proton pump inhibitors (19.0%) and analgesics (16.2%). Among patients with polypharmacy, approximately 40% of medication use was attributed to non-cardiometabolic medications. CONCLUSIONS: Prescription medication burden and complexity increased substantially among patients with type 2 diabetes, with more than 50% of patients with polypharmacy. Attention should be paid to this escalating medication use and regimen complexity, which requires multidisciplinary and coordinated care.

Online Tools to Decrease Out-of-Pocket Prescription Costs for Patients: A Practical Guide for Urologists.

INTRODUCTION: Patients who seek urologic care have recently reported a high degree of financial toxicity from prescription medications, including management for nephrolithiasis, urinary incontinence, and urological oncology. Estimating out-of-pocket costs can be challenging for urologists in the US because of variable insurance coverage, local pharmacy distributions, and complicated prescription pricing schemes. This article discusses resources that urologists can adopt into their practice and share with patients to help lower out-of-pocket spending for prescription medications. METHODS: We identify 4 online tools that are designed to direct patients toward more affordable prescription medication options: the Medicare Part D Plan Finder, GoodRx, Amazon, and the Mark Cuban Cost Plus Drug Company. A brief historical overview and summary for patients and clinicians are provided for each online resource. A patient-centered framework is provided to help navigate these 4 available tools in clinic. RESULTS: Among the 4 tools we identify, there are multiples tradeoffs to consider as financial savings and features can vary. First, patients insured by Medicare should explore the Part D Plan Finder each year to compare drug plans. Second, patients who need to urgently refill a prescription at a local pharmacy should visit GoodRx. Third, patients who are prescribed recurrent generic prescriptions for chronic conditions can utilize the Mark Cuban Cost Plus Drug Company. Finally, patients who are prescribed 3 or more chronic medications can benefit from subscribing to Amazon RxPass. CONCLUSIONS: Prescription medications for urologic conditions can be expensive. This article includes 4 online resources that can help patients access medications at their most affordable costs. Urologists can provide this framework to their patients to help support lowering out-of-pocket drug costs.

Developing a core outcome set for evaluating medication adherence interventions for adults prescribed long-term medication in primary care.

BACKGROUND: Approximately half of people prescribed medications do not take them as prescribed. There is a significant unmet need regarding the barriers to medication adherence not being addressed in primary care. There is no agreement on which outcomes should be measured and reported in trials of medication adherence interventions. OBJECTIVE: To develop a core outcome set (COS) for trials of medication adherence interventions in primary care for adults prescribed medications for long-term health conditions. METHODS: A list of potentially relevant outcomes from the literature was developed. Using a two-round Delphi survey of stakeholder groups representing patients and their carers; primary care staff; and academic researchers with an interest in medication adherence; each outcome was scored in terms of importance for determining the effectiveness of medication adherence interventions in primary care. This was followed by two consensus workshops, where importance, as well as feasibility and acceptability of measurement, were considered in order to finalise the COS. RESULTS: One hundred and fifty people took part in Delphi Round 1 and 101 took part in Round 2. Eight people attended the workshops (four attendees per workshop). Seven outcomes were identified as most important, feasible and acceptable to collect in medication adherence trials: Health-related quality of life, number of doses taken, persistence with medicines, starting (initiating) a medicine, relevance of the medication adherence intervention for an individual, mortality, and adverse medicine events. CONCLUSIONS: This COS represents the minimum outcomes that should be collected and reported in all medication adherence trials undertaken in primary care. When developing and finalizing the COS, feasibility and acceptability of collection of outcomes has been considered. In addition to the COS, medication adherence trials can choose to include outcomes to suit their specific context such as the health condition associated with their medication adherence intervention.

Trends in Number and Appropriateness of Prescription Medication Utilization Among Community-Dwelling Older Adults in the United States: 2011-2020.

BACKGROUND: Contemporary data on the quantity and quality of medication use among older adults are lacking. This study examined recent trends in the number and appropriateness of prescription medication use among older adults in the United States. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) between 2011 and March 2020 were used, and 6 336 adult participants aged 65 and older were included. We examined the number of prescription medication, prevalence of polypharmacy (≥5 prescription drugs), use of potentially inappropriate medication (PIM), and use of recommended medications (angiotensin-converting enzyme inhibitor [ACEI]/angiotensin receptor blockers [ARBs] plus beta-blockers among patients with heart failure and ACEI/ARBs among patients with albuminuria). RESULTS: There has been a slight increase in the prevalence of polypharmacy (39.3% in 2011-2012 to 43.8% in 2017-2020, p for trend = .32). Antihypertensive, antihyperlipidemic, antidiabetic medications, and antidepressants are the most commonly used medications. There was no substantial change in the use of PIM (17.0% to 14.7%). Less than 50% of older adults with heart failure received ACEI/ARBs plus beta-blockers (44.3% in 2017-2020) and approximately 50% of patients with albuminuria received ACEI/ARBs (54.0% in 2017-2020), with no improvement over the study period. Polypharmacy, older age, female, and lower socioeconomic status were generally associated with greater use of PIM but lower use of recommended medications. CONCLUSIONS: The medication burden remained high among older adults in the United States and the appropriate utilization of medications did not improve in the recent decade. Our results underscore the need for greater attentions and interventions to the quality of medication use among older adults.

Factors Associated with Insured Children's Use of Physician Visits, Dentist Visits, Hospital Care, and Prescribed Medications in the United States: An Application of Behavioral Model of Health-Services Use.

This study is the first to examine factors in the utilization of physician services, dentist services, hospital care, and prescribed medications focusing exclusively on insured children in the United States. Data describing 48,660 insured children were extracted from the 2021 National Survey of Children's Health. Children in the present sample were covered by private health insurance, public health insurance, or other health insurance. Logistic regression results showed self-reported health to be negatively associated with physician visits, hospital-care use, and prescription use, but teeth condition to be positively associated with dentist visits. Physician visits were associated negatively with age, Hispanic ethnicity, Asian ethnicity, family income at or below 200% of the federal poverty level, and other health insurance, but positively with parental education and metropolitan residency. Dentist visits were associated positively with girls, age, and parental education, but negatively with Asian ethnicity and public health insurance. Use of hospital care was associated negatively with age and Asian ethnicity, but positively with parental education and public health insurance. Use of prescriptions was associated positively with age, Black ethnicity, parental education, and public health insurance, but negatively with Hispanic ethnicity, Asian ethnicity, and family income at or below 200% of the federal poverty level. Implications included the expansion of public health insurance, promotion of awareness of medicine discount programs, and understanding of racial/ethnic minorities' cultural beliefs in health and treatment.

Prescription Drug Dispensing and Patient Costs After Implementation of a No Behavioral Health Cost-Sharing Law.

Importance: On January 1, 2022, New Mexico implemented a No Behavioral Cost-Sharing (NCS) law that eliminated cost-sharing for mental health and substance use disorder (MH/SUD) treatments in plans regulated by the state, potentially reducing a barrier to treatment for MH/SUDs among the commercially insured; however, the outcomes of the law are unknown. Objective: To assess the association of implementation of the NCS with out-of-pocket spending for prescription for drugs primarily used to treat MH/SUDs and monthly volume of dispensed drugs. Design, Settings, and Participants: This retrospective cohort study used a difference-in-differences research design to examine trends in outcomes for New Mexico state employees, a population affected by the NCS, compared with federal employees in New Mexico who were unaffected by NCS. Data were collected on prescription drugs for MH/SUDs dispensed per month between January 2021 and June 2022 for New Mexico patients with a New Mexico state employee health plan and New Mexico patients with a federal employee health plan. Data analysis occurred from December 2022 to January 2024. Exposure: Enrollment in a state employee health plan or federal health plan. Main Outcomes and Measures: The primary outcomes were mean patient out-of-pocket spending per dispensed MH/SUD prescription and the monthly volume of dispensed MH/SUD prescriptions per 1000 employees. A difference-in-differences estimation approach was used. Results: The implementation of the NCS law was associated with a mean (SE) $6.37 ($0.30) reduction (corresponding to an 85.6% decrease) in mean out-of-pocket spending per dispensed MH/SUD medication (95% CI, -$7.00 to -$5.75). The association of implementation of NCS with the volume of prescriptions dispensed was not statistically significant. Conclusions and Relevance: These findings suggest that the implementation of the New Mexico NCS law was successful in lowering out-of-pocket spending on prescription medications for MH/SUDs, but that there was no association of NCS with the volume of medications dispensed in the first 6 months after implementation. A key challenge is to identify policies that protect from high out-of-pocket spending while also promoting access to needed care.

Denial of prescription pain medication among people who use drugs in Vancouver, Canada.

BACKGROUND: People who use drugs experience pain at two to three times the rate of the general population and yet continue to face substantial barriers to accessing appropriate and adequate treatment for pain. In light of the overdose crisis and revised opioid prescribing guidelines, we sought to identify factors associated with being denied pain medication and longitudinally investigate denial rates among people who use drugs. METHODS: We used multivariable generalized estimating equations analyses to investigate factors associated with being denied pain medication among people who use drugs reporting pain in three prospective cohort studies in Vancouver, Canada. Analyses were restricted to study periods in which participants requested a prescription for pain from a healthcare provider. Descriptive statistics detail denial rates and actions taken by participants after being denied. RESULTS: Among 1168 participants who requested a prescription for pain between December 2012 and March 2020, the median age was 47 years and 63.0% were male. Among 4,179 six-month observation periods, 907 (21.7%) included a report of being denied requested pain medication. In multivariable analyses, age was negatively associated with prescription denial (adjusted odds ratio [AOR] = 0.98, 95% confidence interval [CI]:0.97-0.99), while self-managing pain (AOR = 2.48, 95%CI:2.04-3.00), experiencing a non-fatal overdose (AOR = 1.51, 95%CI:1.22-1.88), engagement in opioid agonist therapy (AOR = 1.32, 95%CI:1.09-1.61), and daily use of heroin or other unregulated opioids (AOR = 1.32, 95%CI:1.05-1.66) were positively associated with being denied. Common actions taken (n = 895) after denial were accessing the unregulated drug supply (53.5%), doing nothing (30.6%), and going to a different doctor/emergency room (6.1%). The period following the introduction of new prescribing guidelines was not associated with a change in denial rates. CONCLUSIONS: A substantial proportion of people who use drugs continue to be denied prescriptions for pain, with such denial associated with important substance use-related harms, including non-fatal overdose. Guidelines specific to the pharmaceutical management of pain among people who use drugs are needed.

Use of medication in pregnancy on the rise: Study on 1.4 million Danish pregnancies from 1998 to 2018.

INTRODUCTION: Maternal demographics have evolved, and more women than ever enter pregnancy with preexisting comorbidity and with potentially complex medication exposure, including polypharmacy (concomitant intake of multiple medications). This study aims to describe the evolution of medication use in pregnancy in Denmark from 1998 to 2018 with special focus on polypharmacy, patterns of use, and underlying demographics. MATERIAL AND METHODS: A Danish nationwide historical registry study based on all clinically recognized pregnancies with a gestation ≥10 weeks between 1998 and 2018. Medication use was estimated by redemption of prescriptions during pregnancy. RESULTS: Among a total of 1 402 327 clinically recognized pregnancies, redemption of at least one prescription medication during pregnancy increased from 56.9% in 1998 to 63.3% in 2018, coinciding with an increased use of polypharmacy (from 24.8% in 1998 to 35.2% in 2018). The prevalence of pregnant women who used medications for chronic conditions increased more than the prevalence of women treated for occasional or short-time conditions. Redemption of one or multiple prescription medications during pregnancy was mostly seen among pregnant women ≥35 years of age. However, pregnant women <25 years old exhibited the largest increase in medication use during the study period. CONCLUSIONS: Medication use in general, and polypharmacy in particular, increased from 1998 to 2008, possibly as the result of an increased prevalence of pregnant women with chronic conditions requiring pharmacological treatment. Notably, a marked maternal age-based discrepancy in usage pattern was observed, highlighting the need for further research in this area. The rise in the prevalence of polypharmacy during pregnancy underscores the need for pharmacovigilance to monitor adverse effects. Future studies should investigate the patterns of polypharmacy and the accompanying maternal and fetal risks.