Prescription Rates Research Articles

Antipsychotic prescribing practices and their association with rehospitalization in a forensic psychiatric sample.

While there is extensive literature examining the effectiveness of antipsychotic prescribing to patients with schizophrenia spectrum or other psychotic disorders in general psychiatric services, there is a dearth of studies examining antipsychotic prescribing practices and their effectiveness in forensic psychiatric services. Forensic psychiatric patients have unique challenges often due to their high-profile offences, public scrutiny, and legal requirements. This longitudinal, retrospective study aimed to examine antipsychotic prescribing and rehospitalization rates in a forensic psychiatric sample, along with relevant socio-demographic, clinical, and forensic characteristics. All patients had a psychotic illness and were prescribed antipsychotic medication. The sample included 153 patients, of which the majority were male (85.6%), Caucasian (71.2%), middle aged (30s to 50s), had schizophrenia or schizoaffective disorder (76.5%), had a substance use disorder (62.1%), and had a most serious index offence against the person (80.4%). Atypical antipsychotics accounted for the majority of antipsychotic prescriptions (75.9%) and the sample had an antipsychotic polypharmacy rate of 39.9%. The sample was divided into four primary antipsychotic formulation types, which were oral (34.0%), injection (39.2%), clozapine (19.0%), and subtherapeutic (7.8%). Regarding rehospitalization, 52.9% of the sample was rehospitalized, with the average number of rehospitalizations being 1.2 (SD = 1.7) and proportion of the follow up period rehospitalized being 16.4% (SD = 27.7%). Patients prescribed clozapine had numerically lower rates of rehospitalization than those prescribed oral and injection formulation types, but it was not statistically significant. With a 19.0% prescription rate, clozapine may be underutilized in this sample. Further research is needed to demonstrate the potential benefits of clozapine regarding rehospitalization in forensic psychiatric patients, as has already been done in general psychiatry. Advancing treatment of the high-profile forensic population can reduce stigma toward people with mental illness and criminal justice involvement.

Medication Burden Before and After Prescription of Biologics in Patients with Inflammatory Bowel Disease.

Background: Biologics are a cornerstone in the treatment of severe cases of inflammatory bowel disease (IBD) and aim to control the disease and improve quality of life. This study investigated changes in nonbiologic medication prescriptions for IBD patients initiating biologic therapy in Germany. Methods: This study used data from anonymized pharmacy records in the German longitudinal prescription (LRx) database and included biologic-naive IBD patients who received their first biologic therapy prescription between 2016 and 2022. Changes in prescription rates and pill counts for nonbiologic medications (corticosteroids, 5-aminosalicylates (5-ASA), proton pump inhibitors, analgesics, immunosuppressants, Vitamin D, iron, and antibiotics) before and after the initiation of biologic therapy were assessed using descriptive statistics, McNemar's tests, and Poisson regression models, adjusting for age and sex. Results: A total of 29,559 biologic-naive IBD patients were included. Prior to index, 91.2% received at least one nonbiologic medication prescription, where corticosteroids and 5-ASA were the most common. Postindex, the overall prescription rate decreased to 87.7%, with significant reductions in prescriptions observed for corticosteroids, 5-ASA, and immunosuppressants (p-values < 0.001). The mean (SD) pill count dropped from 704 (1712) to 514 (1651), with the largest mean differences (95% CI) having been for corticosteroids (-77.9 [-80.3 to -75.5]), 5-ASA (-61.6 [-65.2 to -58.1]), and immunosuppressants (-55.0 [-57.5 to -52.6]). Older patients tended to have greater decreases in pill counts for corticosteroids and 5-ASA, while males showed statistically significant reductions in pill count for immunosuppressants compared with females. Conclusions: This study demonstrates that the prescription of nonbiologic medications significantly decreased after biologic therapy initiation. The use of biologics may therefore lead to improved disease management and potentially better patient outcomes.

Determinants of immune checkpoint inhibitor use and factors linked to neurological adverse events in Korean lung cancer.

Aim: Studies on immune checkpoint inhibitor (ICI)-related potential neurological adverse events (pNAEs) in Korean lung cancer (LC) patients are scarce. We aimed to examine ICI prescription trends from 2018 to 2022, patient characteristics and factors associated with ICI prescription or concurrent pNAEs in LC.Research design & methods: This observational, cross-sectional study of Korean LC patients investigated four ICIs (pembrolizumab, nivolumab, atezolizumab and durvalumab). The annual ICI prescription rate was calculated by dividing the number of LC patients prescribed ICIs with the total annual number of LC patients. Factors associated with ICI prescriptions or concurrent pNAEs were assessed.Results: The annual ICI prescription rate increased from 3.29% to 9.74% (average: 6.20%). Higher Charlson Comorbidity Index (CCI) scores were associated with more ICI prescriptions (odds ratio [OR], 1.08; 95% confidence interval [CI], 1.07-1.08). Targeted therapy was associated with fewer prescriptions (OR: 0.45; 95% CI: 0.41-0.49). The anti-programmed cell death protein 1 (anti-PD-1) prescription rate was higher in patients with concurrent pNAEs than those without pNAEs (53.09% vs. 50.84%), and this was associated with higher pNAEs prevalence (OR: 1.10; 95% CI: 1.03-1.18).Conclusion: ICI prescription for LC has increased in Korea, CCI and anti-PD-1 increased pNAEs prevalence.

Accelerating adverse pregnancy outcomes research amidst rising medication use: parallel retrospective cohort analyses for signal prioritization

BackgroundPregnant women are significantly underrepresented in clinical trials, yet most of them take medication during pregnancy despite the limited safety data. The objective of this study was to characterize medication use during pregnancy and apply propensity score matching method at scale on patient records to accelerate and prioritize the drug effect signal detection associated with the risk of preterm birth and other adverse pregnancy outcomes.MethodsThis was a retrospective study on continuously enrolled women who delivered live births between 2013/01/01 and 2022/12/31 (n = 365,075) at Providence St. Joseph Health. Our exposures of interest were all outpatient medications prescribed during pregnancy. We limited our analyses to medication that met the minimal sample size (n = 600). The primary outcome of interest was preterm birth. Secondary outcomes of interest were small for gestational age and low birth weight. We used propensity score matching at scale to evaluate the risk of these adverse pregnancy outcomes associated with drug exposure after adjusting for demographics, pregnancy characteristics, and comorbidities.ResultsThe total medication prescription rate increased from 58.5 to 75.3% (P < 0.0001) from 2013 to 2022. The prevalence rate of preterm birth was 7.7%. One hundred seventy-five out of 1329 prenatally prescribed outpatient medications met the minimum sample size. We identified 58 medications statistically significantly associated with the risk of preterm birth (P ≤ 0.1; decreased: 12, increased: 46).ConclusionsMost pregnant women are prescribed medication during pregnancy. This highlights the need to utilize existing real-world data to enhance our knowledge of the safety of medications in pregnancy. We narrowed down from 1329 to 58 medications that showed statistically significant association with the risk of preterm birth even after addressing numerous covariates through propensity score matching. This data-driven approach demonstrated that multiple testable hypotheses in pregnancy pharmacology can be prioritized at scale and lays the foundation for application in other pregnancy outcomes.

Iterative Development of a Clinical Decision Support Tool to Enhance Naloxone Co-Prescribing.

Background Opioid overdoses have contributed significantly to mortality in the United States. Despite long-standing recommendations from the Centers for Disease Control and Prevention to co-prescribe naloxone for patients receiving opioids who are at high risk of overdose, compliance with these guidelines has remained low. Objectives The objective of this study was to develop and evaluate a hospital-wide electronic health record (EHR)-based clinical decision support (CDS) tool designed to promote naloxone co-prescription for high-risk opioids. Methods We employed an iterative approach to develop a point-of-order, interruptive EHR alert as the primary intervention and assessed naloxone prescription rates, EHR efficiency metrics, and barriers to adoption. Data was obtained from our EHR's clinical data warehouse and analyzed using statistical process control and Chi-square analyses to assess statistically significant differences in prescribing rates during the intervention periods. Results The initial implementation phase of the intervention, spanning from April 2019 to May 2022, yielded a nearly 3-fold increase in the proportion of high-risk patients receiving naloxone, rising from 13.4% [95% CI, 12.9% - 13.8%] to 36.4% [95% CI, 35.2% - 37.5%; p = 1 x 10-38]. Enhancements to the CDS design and logic during the subsequent iteration's study period, June 2022 and December 2023, reduced the number of CDS triggers by more than 30-fold while simultaneously driving an additional increase in naloxone receipt to 42.7% [95% CI, 40.6% - 44.8%; p = 2 x 10-5]. The efficiency of the CDS demonstrated marked improvement, with prescribers accepting the naloxone co-prescription recommendation provided by the CDS in 41.1% of the encounters in version two, compared to 6.2% in version one (p = 6 x 10-9). Conclusion This study offers a sustainable and scalable model to address low rates of naloxone co-prescription and may also be used to target other opportunities for improving guideline-concordant prescribing practices.

Prescription trends in Japanese advanced Parkinson's disease patients with non-motor symptoms: J-FIRST.

Non-motor symptoms (NMS) are important factors when selecting treatments for patients with advanced Parkinson's disease (PD). We sought to elucidate the prescribing practices for advanced PD patients with NMS in Japanese clinical practice. We examined the prescription rates and doses of anti-PD drugs, and the use of non-steroidal anti-inflammatory drugs (NSAIDs) in post hoc analyses of a 52-week observational study of 996 PD patients with wearing-off on levodopa-containing therapy and ≥1 NMS. Dopamine agonists were the most frequently prescribed drugs combined with levodopa-containing drugs, followed by entacapone, zonisamide, istradefylline, selegiline, and amantadine. The daily dose of levodopa-containing drugs, rotigotine, entacapone, istradefylline, and droxidopa, and the levodopa-equivalent dose increased during the observation period. In a subgroup analysis of patients stratified by NMS status (improved/unchanged/deteriorated), the deteriorated group had higher prescription rates of entacapone and istradefylline, whereas the improved group had higher prescription rates of NSAIDs and zonisamide at Week 52. Prescriptions varied by geographical region for anti-PD drugs and by NMS status for NSAIDs. There were significant changes in the prescriptions and dosing of selected anti-PD drugs, especially newer drugs. Anti-PD drug and NSAID prescriptions also varied by changes in NMS status and geographic region.

GLP-1 Receptor Agonists Confer No Increased Rates of IBD Exacerbation Among Patients With IBD.

In patients with inflammatory bowel disease (IBD), multimorbidity with obesity and type 2 diabetes is common and increasing. Glucagon-like peptide 1 (GLP-1) receptor agonists are increasingly being prescribed for patients with IBD, yet their impact on patients with IBD is largely unknown. We aimed to assess the impact of GLP-1 receptor agonists on the course of IBD. We identified all IBD patients prescribed GLP-1 receptor agonists at a large academic healthcare network between 2009 and 2023. We analyzed demographics and IBD characteristics in the year pre- and post-GLP-1 receptor agonist prescription and matched them to non-IBD controls. Our primary outcome was IBD exacerbation in the year following GLP-1 receptor agonist initiation, measured as a composite of IBD-related hospitalization, corticosteroid prescription, medication escalation or changes, or IBD-related surgery. Secondary outcomes included change in metabolic risk factors. Overall, 224 patients met inclusion criteria. At GLP-1 receptor agonist initiation, the median age was 54 years, 63% were female, 77% were White, and median BMI was 33.2kg/m2. Compared to the 12-month period prior to GLP-1 receptor agonist initiation, in the 12 months post-GLP-1 receptor agonist initiation, there was no change in rates of IBD exacerbation, IBD-related hospitalization, steroids prescription, medication escalation or changes, or IBD-related surgery. There was a significant decrease in BMI in the year following GLP-1 receptor agonist initiation (median BMI 33.5 vs 31.6kg/m2, P < .01), with rates of decrease comparable to non-IBD matched controls. In patients with IBD, GLP-1 receptor agonists are effective for weight loss and associated with few episodes of disease exacerbation.

Comorbidity, Treatment, and Service Utilization Patterns in Difficult-to-Treat Depression Patients: A Retrospective Study in a Portuguese Community Mental Health Team

Background and Objectives: Observational studies with data from real-world clinical practice with patients with difficult-to-treat depression (DTD) are rare. This study aims to collect observational data from the real-world clinical practice of a Portuguese community mental health team (CMHT) on the prevalence of DTD and to explore differences between DTD and non-DTD groups. Materials and Methods: We conducted a retrospective chart review study using data from Electronic Health Records (EHRs) of adult patients with psychiatric disorders followed by a CMHT from the Department of Psychiatry of the Coimbra Local Health Unit (between 1 December 2020–31 December 2022). The Dutch Measure for quantification of Treatment Resistance in Depression (DM-TRD) was used to assess the degree of treatment resistance and the Charlson Comorbidity Index (CCI) to measure medical comorbidity. Results: A quantity of 473 patients were referred to Cantanhede CMHT for a first assessment. Of these, 219 patients met the criteria for a primary diagnosis of any depressive disorder. Assistant psychiatrists identified 57 patients with DTD during follow-up (approximately 26%). The DTD group had higher rates of depressive episodes, greater depression severity, increased service use, higher DM-TRD scores, and a higher prevalence of comorbid anxiety symptoms, personality disorders, and severe medical comorbidities. The DTD group also had a higher prescription rate of antidepressants. Differences were observed in the use of antidepressant augmentation strategies and in the prescription of anticoagulant/antiplatelet drugs and analgesics, with higher prescription rates in the DTD group. We found correlations between DM-TRD and CCI scores, and between DM-TRD scores and all service use variables. Conclusions: Our results are consistent with a similar study in the United Kingdom, highlighting the need for a different approach to the management of DTD patients, who continue to live with a significant burden despite usual pharmacological and non-pharmacological treatments.

Cannabis-Related Disorders Are Associated with Increased Early Postoperative Opioid Prescriptions and Delayed Emergency Department Visits Following Open Carpal Tunnel Release.

The effect of cannabis on pain management following open carpal tunnel release (CTR) surgery is unknown. The purpose of this study is to compare outcomes for patients with cannabis-related disorder (CRD) undergoing open CTR to a propensity-matched cohort of patients without CRD (no cannabis-related disorder [NCRD]). The TriNetX Research Network was queried to identify patients undergoing primary open CTR between January 2010 and December 2022. Patients with CRD were propensity matched to a NCRD cohort in a 1:1 ratio based on 7 characteristics. Rates of postoperative opioid prescriptions, emergency department (ED) services, and outpatient appointments were reported at 0-2, 2-6, and 6-12 weeks postoperatively. A total of 925 CRD patients were propensity matched to 925 NCRD patients undergoing open CTR. Within 0-2 weeks postoperatively, CRD patients received significantly greater rates of opioid prescriptions compared to NCRD patients (30.9% and 25.6%, P = .011). No cannabis-related disorder (NCRD) patients presented for outpatient follow-up at significantly higher rates than CRD patients within 6 weeks postoperatively. CRD patients presented to the ED at significantly higher rates between 6 and 12 weeks postoperatively (11.0% vs. 8.0%, respectively, P = .027). Cannabis-related disorder (CRD) is associated with lower rates of outpatient follow-up but higher rates of postoperative opioid prescriptions and ED presentations following open CTR compared to a propensity-matched cohort of NCRD patients. Cohort Study; Level III.

The Association between a Recorded Diagnosis of Obesity and Clinically Significant Weight Loss in the Primary Care Setting: A Nationwide Registry.

Overweight and obesity (OW/OB) are underdiagnosed. The primary aim was to assess whether a diagnosis of OW/OB recorded by a primary care physician (PCP) is associated with clinically significant weight loss, compared to a missed diagnosis. The secondary aim was to investigate the association between OW/OB diagnosis and patient attendance at dietary consultations. This retrospective, observational cohort study was conducted using a nationwide healthcare database. The study included a random sample of 200 000 adults with BMI ≥ 25 kg/m2, recorded on a primary care visit, between 2014-2020. Patients with prior diagnosis of OW/OB or obesity-related complications were excluded. The independent variable was OW/OB diagnosis recorded by the PCP immediately after BMI measurement. The outcome variable was ≥5% weight loss at a second weight measurement within 9-15 months. Multivariate regression analysis was applied. Of the 200 00 people with OW/OB, 36 033 (18.0%) had a diagnosis of OW/OB, and 37 368 (18.7%) had a second body weight measurement, of which 7 635 (20.4%) lost ≥5% of their baseline body weight. The prescription rate of anti-obesity medication was 1.2% and did not differ between patients who achieved weight loss and those who did not. Those with a recorded diagnosis were 2.6 times more likely to visit a dietitian (OR 2.57, 95%CI 2.56-2.64) and 2.5 times more likely to achieve weight loss (OR 2.53, 95%CI 2.46-2.60). After adjusting for multiple confounders, including attendance at dietary consultation, people who received OW/OB diagnosis were 32% more likely to achieve weight loss (OR 1.32 95% CI 1.28-1.36, p&lt;0.001) compared to people with missed diagnosis. Recording a diagnosis of obesity among relatively healthy people is associated with clinically significant weight loss at 1 year follow up, independent of attendance at dietary consultation. Early obesity diagnosis is a significant opportunity to promote weight loss in the primary care setting and may affect weight trajectory.

Impact of ADA Guidelines and Medication Shortage on GLP-1 Receptor Agonists Prescribing Trends in the UK: A Time-Series Analysis with Country-Specific Insights

Background: Several GLP-1 receptor agonists (GLP-1 RAs) are used to treat type 2 diabetes (T2DM). Their cardio- and renal-protective effects and their association with substantial weight loss have been evident and progressively expanded their role in the American Diabetes Association (ADA) guidelines, which are endorsed by the European Association for the Study of Diabetes (EASD). The increased demand led to a global shortage. Methods: We utilized a repeated cross-sectional design, drawing data from national prescribing databases, to analyze six GLP-1 RAs: Dulaglutide, Exenatide, Liraglutide, Lixisenatide, Semaglutide, and Tirzepatide. AutoRegressive Integrated Moving Average (ARIMA) models with exogenous variables were applied to assess the trends over time and in different regions. Results: The prescription rates significantly differ between regions. Wales shows the highest prescribing rate for most GLP-1 RAs. The ARIMA models indicated a significant increase in their prescribing rates after the release of the 2022 ADA guidelines (e.g., Dulaglutide: Post-ADA effect of 15.22, 95% CI: [12.97, 17.47]). Following the GLP-1 RA shortages in July 2023, the prescribing rates, particularly for Semaglutide, increased (Shortage effect: 74.36, 95% CI: [71.92, 76.80]). Model diagnostics, including the Akaike Information Criterion (AIC) and Durbin–Watson statistics, confirmed the robustness of these trends. Conclusions: Informed decisions should be made by considering the prescribing trends before and after important events such as the issuing of new guidelines or safety alerts.

Exploring the association between phytopharmaceutical use and antibiotic prescriptions in upper respiratory infections: results from a German cohort study evaluating the impact of naturopathy qualifications of general practitioners using routine data.

Antibiotic resistance is a significant global health threat, exacerbated by inappropriate prescribing practices, particularly for upper respiratory infections that are predominantly viral. Complementary and Integrative Medicine (CIM), including the use of phytopharmaceuticals, offers a potential strategy to reduce antibiotic prescriptions. This study aimed to describe the impact of General Practitioners' (GPs) naturopathy (NP) qualifications and phytopharmaceutical prescriptions on the rate of antibiotic prescribing for upper respiratory infections (RTI). We conducted a retrospective cohort study using routine data from the CONTinuous morbidity registration Epidemiologic NeTwork (CONTENT), which includes over 200,000 patients across four federal states in Germany. The study included data from n = 36 GPs who recorded at least one ICD-10 diagnosis of RTI. Antibiotic and phytopharmaceutical prescriptions were identified and analyzed through mixed-effects logistic regression models to explore the influence of GPs' naturopathy qualifications and phytopharmaceutical use on antibiotic prescribing patterns. The study included 40,344 patients managed by 36 GPs. Prescriptions of phytopharmaceuticals significantly reduced the likelihood of antibiotic use (OR 0.48, 95% CI 0.45-0.52). Additionally, holding a naturopathy qualification was associated with lower rates of antibiotic prescriptions (OR 0.73, 95% CI 0.69-0.78). The interaction between naturopathy qualification and phytopharmaceutical prescriptions also showed a significant effect (OR 1.43, 95% CI 1.27-1.62). Patient's year of birth influenced prescribing patterns indicating a reduction of antibiotic prescriptions for younger patients, while patients' gender did not reveal a significant effect. Prescriptions of phytopharmaceuticals were significantly associated with a decrease antibiotic prescriptions among GPs, especially when combined with naturopathy qualifications. Training in naturopathic approaches could enhance antibiotic stewardship efforts in primary care settings, suggesting that broader integration of CIM elements into medical training could be beneficial in mitigating antibiotic resistance.

Cannabis

Objective: Almost half of U.S. states have passed recreational cannabis laws as of May 2024. While considerable evidence to date indicates cannabis may be a substitute for prescription opioids in the treatment of pain, it remains unclear if patients are treating pain with cannabis alone or concomitantly with other medications. Method: Using data from a national sample of commercially insured adults, we examine the effect of recreational cannabis legalization (through two sequential policies) on prescribing of opioids, NSAIDS, and other pain medications by implementing synthetic control estimations and constructing case-study level counterfactuals for the years 2007-2020. Results: Overall, we find recreational cannabis legalization is associated with a decrease in opioid fills among commercially insured adults in the U.S., and we find evidence of a compositional change in prescriptions of pain medications more broadly. Specifically, we find marginally significant increases in prescribing of non-opioid pain medications after recreational cannabis becomes legal in some states. Once recreational cannabis dispensaries open, we find statistically significant decreases in the rate of opioid prescriptions (13% reduction from baseline, p &lt; .05) and marginally significant decreases in the average daily supply of opioids (6.3% decrease, p &lt; .10) and number of opioid prescriptions per patient (3.5% decrease, p &lt; .10). Conclusions: These results suggest that substitution of cannabis for traditional pain medications increases as the availability of recreational cannabis increases. There appears to be a small shift once recreational cannabis becomes legal, but we see stronger results once users can purchase cannabis at recreational dispensaries. The decrease in opioids and marginal increase in non-opioid pain medication may reflect patients substituting opioids with cannabis and non-opioid pain medications, either separately or concomitantly. Reductions in opioid prescription fills stemming from recreational cannabis legalization may prevent exposure to opioids in patients with pain and lead to decreases in the number of new opioid users, rates of opioid use disorder, and related harms.

Antibiotic prescribing patterns and risk of antibiotic-resistant infections and Clostridium difficile in Warfarin and Direct Oral Anticoagulant users: matched population-based cohort study

BackgroundWarfarin and Direct Oral Anticoagulant (DOAC) users may have more frequent antibiotic prescriptions than non-users. The aim of this study was to estimate rates of common and resistant infections, and antibiotic prescribing amongst warfarin and DOAC users versus non-users.MethodsThis matched retrospective cohort study used data from patients registered with General practices in England contributing to the Clinical Practice Research Datalink GOLD. We included 61,750 adults who initiated warfarin or a DOAC between 1st January 2011 and 31st December 2019, matched 1:1 to non-users. We estimated Incident Rate Ratios (IRR) and 95% Confidence Intervals for three common infections and all-cause antibiotic prescribing. We estimated hazard ratios (HRs) and 95% CIs for the risk of methicillin resistance Staphylococcus aureus (MRSA), other antibiotic-resistant organisms, or Clostridium difficile. We assessed the extent to which any of the effect of warfarin and DOAC use on antibiotic resistant infections or Clostridium difficile was mediated by antibiotic prescribing patterns.Results37,143 warfarin users and 24,607 DOAC users were matched 1:1 to non-users. Warfarin and DOAC users had greater relative consultation rates for respiratory, urinary, and skin infections. All-cause antibiotic prescribing was greater in warfarin and DOAC users (warfarin; adjusted IRR 1.47, 95% CI 1.45–1.50, DOAC; adjusted IRR 1.66, 95% CI 1.63–1.69). Largest effect sizes were observed for flucloxacillin (adjusted IRR 2.11, 95% CI 2.01–2.20), and erythromycin (adjusted IRR 2.32, 95% CI 2.00–2.70). Warfarin users had significantly higher risk of MRSA (adjusted HR 1.68, 95% CI 1.38–2.05) and hospital admission with antibiotic resistant infections (adjusted HR 1.91, 95% CI 1.11–3.30). DOAC users had significantly higher risk of MRSA (adjusted HR 1.57, 95% CI 1.20–2.06), hospital admission with antibiotic resistant infections (adjusted HR 2.13, 95% CI 1.61–2.82), and Clostridium difficile (adjusted HR 1.45, 95% CI 1.10–1.92). We found little evidence to suggest that the increased risks of studied outcomes were mediated by rates of antibiotic prescription.ConclusionWarfarin and DOAC use was associated with greater rates of infection consultations, all-cause antibiotic prescribing, antibiotic resistant infections, and Clostridium difficile, but there was little evidence that antibiotic prescribing rates mediated risk of resistant infections or Clostridium difficile.

Exploring Connections Between Living Situations and Antipsychotic Prescribing Practices for People With Intellectual Disabilities

ObjectiveAntipsychotic prescribing practices in people with intellectual disabilities (ID) have sparked growing concerns about appropriateness and potential risks. The connection between living situations and antipsychotic prescribing practices in this population is a crucial but underexplored area. This study aims to investigate the association between living situation and antipsychotic prescriptions among people with ID.MethodsThis retrospective chart review included 112 adults with ID who received care from 2019 to 2021. The investigation examined participants' living situations and assessed antipsychotic prescription rates, antipsychotic class, the presence of a corresponding mental health diagnoses, and polypharmacy. Statistical analyses included univariate and multivariate tests to assess the relationship between living situations and antipsychotic prescriptions, controlling for relevant covariates.ResultsUnivariate analysis revealed a significant association between living situation and antipsychotic prescriptions (p &lt; 0.05), with patients in non‐familial support homes and group homes more likely to receive antipsychotics. However, multivariate analysis did not confirm this association after adjusting for other variables. Male gender (OR = 4.207, 95% confidence interval (CI) 1.721–10.286) and total medication count (OR = 1.101, 95% CI 1.038–1.169) emerged as significant predictors of antipsychotic prescriptions.ConclusionsThese findings highlight the complexity of antipsychotic prescribing practices among people with ID. While living situation initially appeared to influence prescription patterns, multivariate analysis suggests the importance of considering other factors. Gender and medication count emerge as significant predictors, underscoring the need for tailored interventions and closer monitoring in this population.

Changes in Acute Care Pharmacist Prescribing and Laboratory Ordering over Time: CAPLET Study.

In Alberta, pharmacists may obtain additional prescribing authorization (APA) and a practice identification number (PRAC-ID) for ordering laboratory tests. Pharmacists working within Alberta Health Services were mandated by the employer to attain APA by 2018, whereas laboratory ordering has been in place since 2009. Five acute care sites within the Calgary Zone had a computerized provider order entry (CPOE) system that allowed tracking of these activities. To describe changes in prescribing and laboratory ordering by acute care pharmacists over time and to compare these activities across hospitals, sites, and specialty teams. A retrospective, descriptive review of acute care pharmacist orders for medications and laboratory tests was completed using data from the CPOE system for the period 2018 to 2021. Over the study period, the rates of prescribing and laboratory ordering by pharmacists increased by 67.5% (from 1423 to 2383 per full-time equivalent [FTE]) and by 5.5% (from 235 to 248 per FTE), respectively. Pharmacists at the 5 hospitals increased their prescribing rates during that time (by proportions ranging from 7% to 176%). Cardiology, intensive care, and mental health teams had the largest increases in prescribing rates, whereas mental health, hospitalist, and intensive care teams had the greatest increases in rates of laboratory ordering. In each year of the study, the most frequently ordered medication for adult patients was vancomycin, and the most frequently ordered laboratory test was measurement of vancomycin before dose administration. The proportion of medication orders conveyed verbally decreased from 60.0% to 47.4% over the study period. The application of expanded scope of practice increased among acute care pharmacists, to a greater extent for prescribing than for laboratory ordering; however, the proportion of verbal medication orders remains high, a situation that should be addressed to improve patient safety. This study showed that prescribing and laboratory ordering are complementary, given that the top medications and laboratory tests were frequently related. The results of this study can be used for practice development and as the basis for further research within an expanded CPOE system.

Alzheimer's Dementia and Anti-Dementia Medication Prescriptions 2010-2021 in 357 GP Practices and 71 Specialist Practices

The predicted prevalence of people with dementia (PWD) in Germany has risen to 1.8 million since 2010. In the near future, we will see the approval of antibody therapies. The study aims to demonstrate the recent anti-dementia medication prescriptions and diagnosis prevalence. Data from 357 general practitioner (GP) and 71 specialist practices (SP) (1.1 Mio. patients) were analyzed to demonstrate the prevalence of dementia diagnoses and anti-dementia drug prescriptions between 2010 and 2021. The diagnosis prevalence of PWD (Alzheimer's dementia) remained relatively constant in GP practices at 1.0-1.3% (0.19-0.21%). Among SP, the prevalence increased from 4.9% (2.8%) to 5.9% (3.6%). The anti-dementia prescription rate decreased in GP (from 0.14% to 0.10%) and increased in SP practices (from 2.1% to 2.4%). The diagnosis and prescription rate, especially in GP practices, remained below the prevalence forecasts and the expected prescriptions.

Gender and socioeconomic dimensions of relative age effects on ADHD prescriptions: Evidence from Denmark

This paper examines the impact of relative age on Attention Deficit Hyperactivity Disorder (ADHD) prescriptions among school-aged children. Using a regression discontinuity design, we leverage the quasi-experimental variation in school starting age. We use administrative data for all children aged 6–16 from 2010 to 2019 in Denmark. We find a significant decrease in ADHD prescription rates for girls who are relatively old compared to their class mates. We do not find any significant results for boys. We further test the social gradient in relative age on ADHD prescriptions and find that the effect is entirely driven by girls from low income families.

Impact of patient’s financial burden of COVID-19 treatment on antiviral prescription rates and clinical and economic outcomes

ABSTRACT Background In Japan, medical expenses for COVID-19 treatment transitioned from full public funding support to out-of-pocket (OOP) payment by patients plus partial public support in October 2023, and public support fully ended in March 2024. This study evaluated the clinical and economic impacts of initiating OOP payments. Research design and methods To assess the impact on prescription rates, we compared the prescription rates of antivirals from the 4-month pre- to post-OOP payment initiation period using a claims database. Subsequently, a budget impact model assessed the impacts of a hypothetical decline in the prescription rates on COVID-19-related hospitalizations, deaths, and direct medical costs for antiviral prescription and hospitalization. Results The antiviral prescription rate per 100 patients decreased from 17.5 for the pre-OOP payment initiation period to 11.5 for the post-OOP payment initiation period, that is, a change of − 34.3%. With prescription rate decreases of 40%, 60%, and 80%, the hospitalizations would increase annually by 22,533 (3.3%), 33800 (5.0%), and 45,066 (6.6%), respectively. The total costs would increase by JPY9.5 billion (USD67.3 million; 0.7%), JPY14.3 billion (USD100.9 million; 1.0%), and JPY19.0 billion (USD134.5 million; 1.3%), respectively. Conclusions Higher OOP payment decreased the antiviral prescription rate, potentially leading to clinical and economic loss.

12442 Effectiveness Of An Electronic Decision Support Algorithm To Optimize Recommendation Of SGLT2i And GLP-1RA In Patients With Type 2 Diabetes Upon Discharge From Internal Medicine Wards

Abstract Disclosure: E. Jaffe: None. I. Ayalon-Dangur: Grant Recipient; Self; Boehringer Ingelheim. A. Grossman: None. H. Hendel: None. Y. Oved: None. A. Shaked: None. I. Shimon: None. B. Basharim: None. M. Abo Molhem: None. R. McNeil: None. R. Abuhasira: None. T. Shitrit: None. L. Azulay Gitter: None. R. El Saleh: None. T. Shochat: None. N. Eliakim-Raz: None. Background: Type 2 diabetes mellitus (T2DM) is a major cause of morbidity and mortality. Current guidelines recommend the use of glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) in patients with T2DM with or at high risk for cardiovascular disease to reduce mortality. Despite the established benefit, many studies found low treatment rates with these medications in eligible patients. The aim of our study is to examine the effectiveness of a clinical decision support (CDS) algorithm that was developed in our institution, in improving the recommendation rate of SGLT2i and GLP-1RA upon discharge from hospitalization in internal medicine wards. Methods: Our algorithm was developed to automatically recommend SGLT2i and GLP-1RA for T2DM patients based on current guidelines. Data was collected from electronic medical records of all T2DM patients ≥18 years old who were eligible for SGLT2i or GLP-1RA and hospitalized for any reason in one of five internal medicine wards in Beilinson Hospital. The primary outcome was to evaluate the rate of physician recommendation of SGLT2i or GLP-1RA at hospital discharge for eligible patients pre-algorithm implementation (January 2021-December 2021) versus post-algorithm implementation (April 2023-September 2023). Results: A total of 1318 patients were included in the pre-algorithm group and 970 were included in the post-algorithm group. Median age was 75 and 73 years in the pre- and post-algorithm groups, respectively. In the pre-algorithm group, 62% were males vs 60% in the post-algorithm group. Median length of hospitalization was three days and four days in the pre- and post-algorithm groups, respectively. The rate of SGLT2i and GLP-1RA recommendation for eligible patients was 8.50% (112 of 1318 patients) in the pre-algorithm group and 22.68% (220 of 970 patients) in the post-algorithm group. The odds ratio of the recommendation rate in the post vs pre-algorithm group was 3.151, 95% confidence interval 2.467– 4.025, p&amp;lt;0.0001. Conclusion: The results of this study demonstrate the benefit of an algorithm as part of a CDS system to improve recommendation rates of SGLT2i and GLP-1RA for eligible patients upon discharge from hospitalization. Future studies should assess the impact of the algorithm on prescription rates, patient adherence, and long-term outcomes. Presentation: 6/2/2024