Impact of cost on prescribing diabetes medications for older adults with type 2 diabetes in the outpatient setting.

BACKGROUND: Newer diabetes medications have cardiorenal benefits beyond blood sugar lowering that make them a preferred treatment option in many patients. Despite this, studies have shown that prescribing of these medications remains suboptimal with medication costs being hypothesized as a reason for underutilization. OBJECTIVE: To understand clinicians' decision-making processes for prescribing diabetes medications in older adults, focusing on higher cost medications. METHODS: Observations of patient encounters and semi-structured interviews were conducted with clinicians from primary care, endocrinology, and geriatrics to elucidate themes into diabetes medication prescribing. A qualitative descriptive approach was used to analyze the data from interviews using an inductive coding scheme with themes derived from the data. RESULTS: Twenty-one interviews were conducted. Five themes were identified: 1) out-of-pocket costs drive prescribing decisions 2) out-of-pocket costs can be variable due to changing insurance plans or changing coverage 3) clinicians have difficulty with determining patient-specific out-of-pocket costs 4) clinicians manage the tradeoffs existing between cost, efficacy, and safety and 5) clinicians can use cost-modifying strategies such as patient assistance. CONCLUSION: Addressing the challenges that medication costs pose to prescribing evidence-based medications for type 2 diabetes is necessary to optimize diabetes care for older adults.

Automated Test for Monthly Quality Assurance of Optical Surface Imaging Dynamic Localization Accuracy.

The American Association of Physicists in Medicine (AAPM) recently published the report of Task Group (TG) 302, which provides recommendations on acceptance, commissioning, and ongoing routine quality assurance (QA) for surface-guided radiation therapy (SGRT) systems. One of the recommended monthly QA tests is a dynamic localization accuracy test. This work aimed to develop an automated procedure for monthly SGRT dynamic localization QA. An anthropomorphic head phantom was rigidly attached to the 6-dof couch of a TrueBeam linac. TrueBeam Developer Mode was used to take an MV image of the phantom at the starting position, then automatically drive the couch through a series of translations and rotations, taking an MV image after each translation. The Identify SGRT system monitored the motion of the phantom surface from the starting position. Translations assessed on MV images were compared to translations reported in trajectory log files and Identify log files. Rotations were compared between trajectory log files and Identify log files. Three experiments were conducted. None of the translations or rotations from any experiment exceeded the tolerance values for stereotactic ablative body radiation therapy (SABR) recommended by AAPM TG-142. Maximum deviations from the expected translation values from MV imaging, trajectory log files, and Identify log files were -0.94mm, -0.11mm, and -0.78mm, respectively. Maximum deviations from the expected rotation values from trajectory log files and Identify log files were 0.01 and -0.2 degrees, respectively. The proposed method is a simple automated way to complete monthly dynamic localization QA of SGRT systems.

Dispensaries and Medical Marijuana Certifications and Indications: Unveiling the Geographic Connections in Pennsylvania, USA.

Introduction: Pennsylvania opened its first medical marijuana (MMJ) dispensary in 2018. Qualifying conditions include six conditions determined to have no or insufficient evidence to support or refute MMJ effectiveness. We conducted a study to describe MMJ dispensary access in Pennsylvania and to determine whether dispensary proximity was associated with MMJ certifications and community demographics. Methods: Using data from the Pennsylvania Department of Health, we geocoded MMJ dispensary locations and linked them to US Census Bureau data. We created dispensary access measures from the population-weighted centroid of Zip Code Tabulation Areas (ZCTAs): distance to nearest dispensary and density of dispensaries within a 15-min drive. We evaluated associations between dispensary access and the proportion of adults who received MMJ certification and the proportion of certifications for low evidence conditions (amyotrophic lateral sclerosis, epilepsy, glaucoma, Huntington's disease, opioid use disorder, and Parkinson's disease) using negative binomial modeling, adjusting for community features. To evaluate associations racial and ethnic composition of communities and distance to nearest dispensary, we used logistic regression to estimate the odds ratios (OR) and 95% confidence intervals (CI), adjusting for median income. Results: Distance and density of MMJ dispensaries were associated with the proportion of the ZCTA population certified and the proportion of certifications for insufficient evidence conditions. Compared to ZCTAs with no dispensary within 15 min, the proportion of adults certified increased by up to 31% and the proportion of certifications for insufficient evidence decreased by up to 22% for ZCTAs with two dispensaries. From 2018 to 2021, the odds of being within five miles of a dispensary was up to 20 times higher in ZCTAs with the highest proportions of individuals who were not White (2019: OR: 20.14, CI: 10.7-37.8) and more than double in ZCTAs with the highest proportion of Hispanic individuals (2018: OR: 2.81, CI: 1.51-5.24), compared to ZCTAs with the lowest proportions. Conclusions: Greater dispensary access was associated with the proportions of certified residents and certifications for low evidence conditions. Whether these patterns are due to differences in accessibility or demand is unknown. Associations between community demographics and dispensary proximity may indicate MMJ access differences.

Evaluation of pharmacist-led transition of care program in patients with acute coronary syndrome.

BACKGROUND: Guideline-directed medical therapies (GDMTs), initiated in-hospital and continued during the transition to outpatient care, are paramount to successful outcomes for patients with acute coronary syndrome (ACS). Incomplete discharge medication prescribing and delayed follow-up lead to worse cardiovascular outcomes. OBJECTIVES: We investigated a system of care using inpatient and outpatient clinical pharmacists to close GDMT gaps, ensure seamless transition to outpatient care, improve patient education, and optimize therapies. METHODS: We conducted a pre-post cohort analysis of patients with ACS pre- versus post-intervention to compare process metrics and key outcomes using electronic health record data. RESULTS: There were 181 and 135 patients in the pre- and post-intervention cohorts, respectively. Patients post-intervention were significantly more likely to have appropriately-timed follow-up visits scheduled with cardiology (79% vs. 51%, P < 0.0001) and primary care (57% vs. 43%, P = 0.01), to be discharged with prescriptions for P2Y12 inhibitors (87% vs. 64%, P < 0.0001), high dose statins (86% vs. 70%, P = 0.001), and beta blockers (87% vs. 76%, P = 0.01), and significantly less likely to have 30-day all-cause hospital readmissions (4% vs. 12%, P = 0.02) and emergency department (ED) visits (10% vs. 18%, P = 0.04). CONCLUSIONS: The integration of advanced practicing pharmacists into a cardiology team at transition and post-hospitalization resulted in improved rates of posthospital follow-up visits, optimization of GDMT medications, and significantly lower 30-day hospital readmission and ED utilization.

Factors Affecting Prescribing of Type 2 Diabetes Medications in Older Adults within an Integrated Healthcare System.

BACKGROUND: Despite type 2 diabetes guidelines recommending against the use of sulfonylureas in older adults and for the use of sodium-glucose cotransporter-2 inhibitors (SGLT2) and glucagon-like peptide-1 agonists (GLP1s) in patients with atherosclerotic cardiovascular disease (ASCVD), chronic kidney disease (CKD), and heart failure (HF), real-world guideline-concordant prescribing remains low. While some factors such as cost have been suggested, an in-depth analysis of the factors associated with guideline-concordant prescribing is warranted. OBJECTIVE: To quantify the extent of guideline-concordant prescribing in an integrated health care delivery system and examine provider and patient level factors that influence guideline-concordant prescribing. DESIGN: We performed a cross-sectional study. PARTICIPANTS: Participants were included if they had a diagnosis of type 2 diabetes, were prescribed a second-line diabetes medication between January 1, 2018 and December 31, 2020 and were at least 65 years old at the time of this second-line prescription. MAIN MEASURES: Our outcome of interest was guideline-concordant prescribing. The definition of guideline-concordant prescribing was based on American Diabetes Association and American Geriatric Society recommendations as well as expert consensus. Factors affecting guideline concordant prescribing included patient demographics and provider characteristics among others. KEY RESULTS: We included 1,693 patients of which only 50% were prescribed guideline-concordant medications. In a subgroup of 843 patients with cardiorenal conditions, only 30% of prescriptions were guideline concordant. Prescribing of guideline-concordant prescriptions was more likely among pharmacists than physicians (RR 1.34, 95% CI 1.19-1.51, p<0.001) and in endocrinology practices compared to primary care practices (RR 1.41 95% CI 1.16-1.72, p=0.007). Additionally, guideline concordant prescribing increased over time (42% in 2018 vs 53% in 2019 vs 53% in 2020, p<0.001). CONCLUSIONS: Guideline-concordant prescribing remains low in older adults, especially among those with cardiorenal conditions. Future studies should examine barriers to prescribing guideline-concordant medications and interventions to improve guideline-concordant prescribing.

Pre-emptive pharmacogenomics implementation among polypharmacy patients 65 years old and older: a clinical pilot.

Aim: Pre-emptive testing of pharmacogenomic (PGx) variations has potential to improve medication safety and effectiveness; however, testing is not routine. Given the newfound payor coverage of multigene testing and the potential value of testing within aging patients, it is imperative to test local PGx testing capabilities, report results to patients and providers, and determine the value of testing. Materials & methods: We designed a randomized clinical pilot of a pre-emptive PGx testing process using the electronic health record compared with usual care among an aging primary care population. Results & conclusion: The impact of the program on prescribing patterns, healthcare utilization and costs of care will be evaluated. We hypothesize that implementation of a pre-emptive multigene PGx panel is feasible among elderly, polypharmacy, primary care patients, measured by the number of enrolled patients with PGx results entered in the medical record. Health system wide PGx implementation, including capacity needed to integrate these valuable results, is also described.

Medication use and comorbidities in an increasingly younger osteoarthritis population: an 18-year retrospective open-cohort study.

OBJECTIVES: As understanding of the pathogenesis and treatment strategies for osteoarthritis (OA) evolves, it is important to understand how patient factors are also changing. Our goal was to examine demographics and known risk factors of patients with OA over time. DESIGN: Open-cohort retrospective study using electronic health records. SETTING: Large US integrated health system with 7 hospitals, 2.6 million outpatient clinic visits and 97 300 hospital admissions annually in a mostly rural geographic region. PARTICIPANTS: Adult patients with at least two encounters and a diagnosis of OA or OA-relevant surgery between 2001 and 2018. Because of geographic region, over 96% of participants were white/Caucasian. INTERVENTIONS: None. PRIMARY AND SECONDARY OUTCOME MEASURES: Descriptive statistics were used to examine age, sex, body mass index (BMI), Charlson Comorbidity Index, major comorbidities and OA-relevant prescribing over time. RESULTS: We identified 290 897 patients with OA. Prevalence of OA increased significantly from 6.7% to 33.5% and incidence increased 37% (from 3772 to 5142 new cases per 100 000 patients per year) (p<0.0001). Percentage of females declined from 65.3% to 60.8%, and percentage of patients with OA in the youngest age bracket (18-45 years) increased significantly (6.2% to 22.7%, p<0.0001). The percentage of patients with OA with BMI ≥30 remained above 50% over the time period. Patients had low comorbidity overall, but anxiety, depression and gastro-oesophageal reflux disease showed the largest increases in prevalence. Opioid use (tramadol and non-tramadol) showed peaks followed by declines, while most other medications increased slightly in use or remained steady. CONCLUSIONS: We observe increasing OA prevalence and a greater proportion of younger patients over time. With better understanding of how characteristics of patients with OA are changing over time, we can develop better approaches for managing disease burden in the future.

ERK1/2-RSK regulation of oestrogen homeostasis.

The molecular mechanisms regulating oestrogen homeostasis have been primarily studied in the mammary gland, which is the focus of this review. In the non-pregnant adult, the mammary gland undergoes repeated cycles of proliferation and apoptosis in response to the fluctuating levels of oestrogen that occur during the reproductive stage. Oestrogen actions are mediated through the steroid hormone receptors, oestrogen receptor α and ß and through a G-protein coupled receptor. In the mammary gland, ERα is of particular importance and thus will be highlighted. Mechanisms regulating oestrogen-induced responses through ERα are necessary to maintain homeostasis given that the signalling pathways that are activated in response to ERα-mediated transcription can also induce transformation. ERK1/2 and its downstream effector, p90 ribosomal S6 kinase (RSK), control homeostasis in the mammary gland by limiting oestrogen-mediated ERα responsiveness. ERK1/2 drives degradation coupled ERα-mediated transcription, whereas RSK2 acts as a negative regulator of ERK1/2 activity to limit oestrogen responsiveness. Moreover, RSK2 acts as a positive regulator of translation. Thus, RSK2 provides both positive and negative signals to maintain oestrogen responsiveness. In addition to transmitting signals through tyrosine kinase receptors, ERK1/2-RSK engages with hedgehog signalling to maintain oestrogen levels and with the HIPPO pathway to regulate ERα-mediated transcription. Additionally, ERK1/2-RSK controls the progenitor populations within the mammary gland to maintain the ERα-positive population. RSK2 is involved in increased breast cancer risk in individuals taking oral contraceptives and in parity-induced protection against breast cancer. RSK2 and ERα may also co-operate in diseases in tissues outside of the mammary gland.

Outness, Discrimination, and Psychological Distress Among LGBTQ+ People Living in the Southern United States.

Purpose: Lesbian, gay, bisexual, transgender, queer, and other sexual and gender minority (LGBTQ+) people face mental health disparities. These disparities are amplified in the Southern regions of the United States. This study assessed the role of outness, discrimination, and other demographic variables on possible serious mental illness (SMI) among LGBTQ+ Southerners. Methods: This study used data from the 2017 LGBT Institute Southern Survey, a cross-sectional convenience sample of 6502 LGBTQ+ adults living in 14 Southern states. Multivariable logistic regression was performed to examine differences between those with and without possible SMI. Results: Outness was associated with a lower likelihood of possible SMI (odds ratio [OR]: 0.696, 95% confidence interval [CI]: 0.574-0.844, p = 0.001), especially when controlling for discrimination in the past 12 months (OR: 0.693, 95% CI: 0.576-0.834, p ≤ 0.001) and lifetime discrimination (OR: 0.678, 95% CI: 0.554-0.829, p = 0.001). Lifetime discrimination was associated with a higher likelihood of possible SMI (OR: 1.413, 95% CI: 1.034-1.932, p = 0.033), as was discrimination experienced in the past 12 months (OR: 1.626, 95% CI: 1.408-1.877, p ≤ 0.001). Black/African American respondents had the lowest percentage of possible SMI (21.0%) compared with other races, despite having lower or comparable rates of outness. Conclusion: These results indicate a possible promotive effect of outness against possible SMI among LGBTQ+ Southerners, as well as possible promotive group-level factors among Black/African American LGBTQ+ Southerners. Policies and interventions that address discrimination against LGBTQ+ Southerners should be expanded, and future research should address how the relationships between outness, discrimination, and mental health outcomes may vary by subgroup.

Design of a pragmatic clinical trial to improve screening and treatment for opioid use disorder in primary care.

BACKGROUND: Opioid-related deaths continue to rise in the U.S. A shared decision-making (SDM) system to help primary care clinicians (PCCs) identify and treat patients with opioid use disorder (OUD) could help address this crisis. METHODS: In this cluster-randomized trial, primary care clinics in three healthcare systems were randomized to receive or not receive access to an OUD-SDM system. The OUD-SDM system alerts PCCs and patients to elevated risk of OUD and supports OUD screening and treatment. It includes guidance on OUD screening and diagnosis, treatment selection, starting and maintaining patients on buprenorphine for waivered clinicians, and screening for common comorbid conditions. The primary study outcome is, of patients at high risk for OUD, the percentage receiving an OUD diagnosis within 30 days of index visit. Additional outcomes are, of patients at high risk for or with a diagnosis of OUD, (a) the percentage receiving a naloxone prescription, or (b) the percentage receiving a medication for OUD (MOUD) prescription or referral to specialty care within 30 days of an index visit, and (c) total days covered by a MOUD prescription within 90 days of an index visit. RESULTS: The intervention started in April 2021 and continues through December 2023. PCCs and patients in 90 clinics are included; study results are expected in 2024. CONCLUSION: This protocol paper describes the design of a multi-site trial to help PCCs recognize and treat OUD. If effective, this OUD-SDM intervention could improve screening of at-risk patients and rates of OUD treatment for people with OUD.

The potential impact of clinical decision support on nonwaivered primary care clinicians' prescribing of buprenorphine.

Elimination of the X-waiver increased potential buprenorphine prescribers 13-fold, but growth in prescribing will likely be much lower. We explored self-assessments of nonwaivered primary care clinicians (PCCs) for factors affecting their likelihood to prescribe buprenorphine were the X-waiver eliminated (since realized January 2023) and the potential impacts of a clinical decision-support (CDS) tool for opioid use disorder (OUD). Cross-sectional survey data were obtained between January 2021 and March 2022 from 305 nonwaivered PCCs at 3 health systems. Factors explored were patient requests for buprenorphine, PCC access to an OUD-CDS, and PCC confidence and abilities for 5 OUD-care activities. Relationships were described using descriptive statistics and odds ratios. Only 26% of PCCs were more likely to prescribe buprenorphine upon patient request, whereas 63% were more likely to prescribe with the OUD-CDS. PCC confidence and abilities for some OUD-care activities were associated with increased prescribing likelihood from patient requests, but none were associated with the OUD-CDS. The OUD-CDS may increase buprenorphine prescribing for PCCs less likely to prescribe upon patient request. Future research is needed to develop interventions that increase PCC buprenorphine prescribing. Clinical trial registration: ClinicalTrials.gov. Identifier: NCT04198428. Clinical trial name: Clinical Decision Support for Opioid Use Disorders in Medical Settings (Compute 2.0).

Therapeutic targeting of p90 ribosomal S6 kinase.

The Serine/Threonine protein kinase family, p90 ribosomal S6 kinases (RSK) are downstream effectors of extracellular signal regulated kinase 1/2 (ERK1/2) and are activated in response to tyrosine kinase receptor or G-protein coupled receptor signaling. RSK contains two distinct kinase domains, an N-terminal kinase (NTKD) and a C-terminal kinase (CTKD). The sole function of the CTKD is to aid in the activation of the NTKD, which is responsible for substrate phosphorylation. RSK regulates various homeostatic processes including those involved in transcription, translation and ribosome biogenesis, proliferation and survival, cytoskeleton, nutrient sensing, excitation and inflammation. RSK also acts as a major negative regulator of ERK1/2 signaling. RSK is associated with numerous cancers and has been primarily studied in the context of transformation and metastasis. The development of specific RSK inhibitors as cancer therapeutics has lagged behind that of other members of the mitogen-activated protein kinase signaling pathway. Importantly, a pan-RSK inhibitor, PMD-026, is currently in phase I/1b clinical trials for metastatic breast cancer. However, there are four members of the RSK family, which have overlapping and distinct functions that can vary in a tissue specific manner. Thus, a problem for transitioning a RSK inhibitor to the clinic may be the necessity to develop isoform specific inhibitors, which will be challenging as the NTKDs are very similar to each other. CTKD inhibitors have limited use as therapeutics as they are not able to inhibit the activity of the NTKD but could be used in the development of proteolysis-targeting chimeras.

Assessing Ability Recovery of the Sequential IRT Model With Unstructured Multiple-Attempt Data.

The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of data set as a whole in the practice of educational measurement. It is critical that methods be available for measuring ability from VLE data to improve VLE systems, monitor student progress in instructional settings, and conduct educational research. The purpose of this study is to explore the ability recovery of the multidimensional sequential 2-PL IRT model in unstructured MA data from VLEs. We conduct a simulation study to evaluate the effects of the magnitude of ability growth and the proportion of students who make two attempts, as well as the moderated effects of sample size, test length, and missingness, on the bias and root mean square error of ability estimates. Results show that the model poses promise for evaluating ability in unstructured VLE data, but that some data conditions can result in biased ability estimates.

Effect of Different Interventions to Help Primary Care Clinicians Avoid Unsafe Opioid Prescribing in Opioid-Naive Patients With Acute Noncancer Pain: A Cluster Randomized Clinical Trial.

Importance: Prescription opioids can treat acute pain in primary care but have potential for unsafe use and progression to prolonged opioid prescribing. Objective: To compare clinician-facing interventions to prevent unsafe opioid prescribing in opioid-naive primary care patients with acute noncancer pain. Design Setting and Participants: We conducted a multisite, cluster-randomized, 2 × 2 factorial, clinical trial in 3 health care systems that comprised 48 primary care practices and 525 participating clinicians from September 2018 through January 2021. Patient participants were opioid-naive outpatients, 18 years or older, who presented for a qualifying clinic visit with acute noncancer musculoskeletal pain or nonmigraine headache. Interventions: Practices randomized to: (1) control; (2) opioid justification; (3) monthly clinician comparison emails; or (4) opioid justification and clinician comparison. All groups received opioid prescribing guidelines via the electronic health record at the time of a new opioid prescription. Main Outcomes and Measures: Primary outcome measures were receipt of an initial opioid prescription at the qualifying clinic visit. Other outcomes were opioid prescribing for more than 3 months and a concurrent opioid/benzodiazepine prescription over 12-month follow-up. Results: Among 22 616 enrolled patient participants (9740 women [43.1%]; 64 American Indian/Alaska Native [0.3%]; 590 Asian [2.6%], 1120 Black/African American [5.0%], 1777 Hispanic [7.9%], 225 Native Hawaiian/Pacific Islander [1.0%], and 18 981 White [83.9%] individuals), the initial opioid prescribing rates at the qualifying clinic visit were 3.1% in the total sample, 4.2% in control, 3.6% in opioid justification, 2.6% in clinician comparison, and 1.9% in opioid justification and clinician comparison. Compared with control, the adjusted odds ratio (aOR) for a new opioid prescription was 0.74 (95% CI, 0.46-1.18; P = .20) for opioid justification and 0.60 (95% CI, 0.38-0.96; P = .03) for clinician comparison. Compared with control, clinician comparison was associated with decreased odds of opioid therapy of more than 3 months (aOR, 0.79; 95% CI, 0.69-0.91; P = .001) and concurrent opioid/benzodiazepine prescription (aOR, 0.85; 95% CI, 0.72-1.00; P = .04), whereas opioid justification did not have a significant effect. Conclusions and Relevance: In this cluster randomized clinical trial, comparison emails decreased the proportion of opioid-naive patients with acute noncancer pain who received an opioid prescription, progressed to treatment with long-term opioid therapy, or were exposed to concurrent opioid and benzodiazepine therapy. Health care systems can consider adding clinician-targeted nudges to other initiatives as an efficient, scalable approach to further decrease potentially unsafe opioid prescribing. Trial Registration: ClinicalTrials.gov Identifier: NCT03537573.

Associations of Healthcare Utilization and Costs with Increasing Pain and Treatment Intensity Levels in Osteoarthritis Patients: An 18-Year Retrospective Study.

INTRODUCTION: Osteoarthritis (OA) is a complex disease, and prior studies have documented the health and economic burdens of patients with OA compared to those without OA. Our goal was to use two strategies to further stratify OA patients based on both pain and treatment intensity to examine healthcare utilization and costs using electronic records from 2001 to 2018 at a large integrated health system. METHODS: Adult patients with ≥1 pain numerical rating scale (NRS) and diagnosis of OA were included. Pain episodes of ≥90 days were defined as mild (0-3), moderate (4-6), or severe (7-10) based on initial NRS. Patients were initially classified as mild and moved to moderate-severe OA if any of eight treatment-based criteria were met. Outpatient visits (OP), emergency department visits (ED), inpatient days, and healthcare costs (both all-cause and OA-specific) were compared among pain levels and OA severity levels as frequencies and per-member-per-year rates, using generalized linear regression models adjusting for age, sex, and body mass index, with contrasts of p < 0.05 considered significant. RESULTS: We identified 127,656 patients, 92,576 with pain scores. Moderate and severe pain were associated with significantly higher rates of OA-related utilization and costs, and all-cause ED visits and pharmacy costs. Moderate-severe OA patients had significantly higher OA-related utilization and costs, and all-cause OP, ED and pharmacy costs. CONCLUSIONS: Pain and treatment intensity were both strongly associated with OA-related utilization but not consistently with all-cause utilization. Our results provide promising evidence of better criteria and approaches for predicting disease burden and costs in the future.

Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial.

BACKGROUND: Despite routine review of medication lists during patient encounters, patients' medication lists are often incomplete and not reflective of actual medication use. Contributing to this situation is the challenge of reconciling medication information from existing health records, along with external locations (eg, pharmacies, other provider/hospital records, and care facilities) and patient-reported use. Advances in the interoperability and digital collection of information provides a foundation for integration of these once disparate information sources. OBJECTIVE: We aim to evaluate the effectiveness of and satisfaction with an electronic health record (EHR)-integrated web-based medication reconciliation application, MedTrue (MT). METHODS: We conducted a cluster-randomized controlled trial of MT in 6 primary care clinics within an integrated health care delivery system. Our primary outcome was medication list accuracy, as determined by a pharmacist-collected best-possible medication history (BPMH). Patient and staff perspectives were evaluated through surveys and semistructured interviews. RESULTS: Overall, 224 patients were recruited and underwent a BPMH with the pharmacist (n=118 [52.7%] usual care [UC], n=106 [47.3%] MT). For our primary outcome of medication list accuracy, 8 (7.5%) patients in the MT arm and 9 (7.6%) in the UC arm had 0 discrepancies (odds ratio=1.01, 95% CI 0.38-2.72, P=.98). The most common discrepancy identified was patients reporting no longer taking a medication (UC mean 2.48 vs MT mean 2.58, P=.21). Patients found MT easy to use and on average would highly recommend MT (average net promoter score=8/10). Staff found MT beneficial but difficult to implement. CONCLUSIONS: The use of a web-based application integrated into the EHR which combines EHR, patient-reported data, and pharmacy-dispensed data did not improve medication list accuracy among a population of primary care patients compared to UC but was well received by patients. Future studies should address the limitations of the current application and assess whether improved implementation strategies would impact the effectiveness of the application.

Prescription stimulant use during long-term opioid therapy and risk for opioid use disorder.

Background: Concurrent therapeutic prescribing of prescription stimulants with opioid analgesics is increasing in the United States. Stimulant medication use is associated with increased risk for long-term opioid therapy (LTOT), and LTOT is associated with increased risk for opioid use disorder (OUD). Aims: To determine if stimulant prescriptions among those with LTOT (≥90 days) are associated with greater risk for opioid use disorder (OUD). Methods: This retrospective cohort study from 2010 to 2018 used a United States, nationally distributed Optum© analytics Integrated Claims-Clinical dataset. Patients ≥18 years of age, and free of prevalent OUD in the two years prior to index were eligible. All patients had a new ≥90-day opioid prescription. The index date was day 91. We compared risk for new OUD diagnoses in patients with and without a prescription stimulant overlapping LTOT. Entropy balancing and weighting controlled for confounding factors. Results: Patients (n = 5,712), were 57.7 (SD±14.9) years of age on average, majority female (59.8%) and 73.3% White race. Among patients with LTOT, 2.8% had overlapping stimulant prescriptions. Before controlling for confounding, dual stimulant-opioid prescriptions, compared to opioid only, were associated with OUD risk (HR = 1.75; 95%CI:1.17-2.61). After controlling for confounding, this association was no longer present (HR = 0.89; 95%CI:0.47-1.71). Results did not differ in sensitivity analyses limiting the cohort to those <56 years of age. Conclusions: Dual stimulant use among patients with LTOT does not increase risk for OUD. Stimulants prescribed for ADHD and other conditions may not worsen opioid outcomes for some patients with LTOT.