Naloxone Accessibility by Standing Order in North Carolina Community Pharmacies.

BACKGROUND: According to a standing order in North Carolina (NC), naloxone can be purchased without a provider prescription. OBJECTIVE: The objective of this study is to examine whether same-day naloxone accessibility and cost vary by pharmacy type and rurality in NC. METHODS: A cross-sectional telephone audit of 202 NC community pharmacies stratified by pharmacy type and county of origin was conducted in March and April 2023. Trained "secret shoppers" enacted a standardized script and recorded whether naloxone was available and its cost. We examined the relationship between out-of-pocket naloxone cost, pharmacy type, and rurality. RESULTS: Naloxone could be purchased in 53% of the pharmacies contacted; 26% incorrectly noting that naloxone could be filled only with a provider prescription and 21% did not sell naloxone. Naloxone availability by standing order was statistically different by pharmacy type (chain/independent) (χ2 = 20.58, df = 4, P value < 0.001), with a higher frequency of willingness to dispense according to the standing order by chain pharmacies in comparison to independent pharmacies. The average quoted cost for naloxone nasal spray at chain pharmacies was $84.69; the cost was significantly more ($113.54; P < 0.001) at independent pharmacies. Naloxone cost did not significantly differ by pharmacy rurality (F2,136 = 2.38, P = 0.10). CONCLUSION: Approximately half of NC community pharmacies audited dispense naloxone according to the statewide standing order, limiting same-day access to this life-saving medication. Costs were higher at independent pharmacies, which could be due to store-level policies. Future studies should further investigate these cost differences, especially as intranasal naloxone transitions from a prescription only to over-the-counter product.

Do African American patients with glaucoma ask their eye providers the questions they have?

PURPOSE: The objective of this study was to describe what questions patients checked on a glaucoma question prompt list and how often patients asked the same checked questions during medical visits. DESIGN: A randomized controlled trial was conducted to test the effectiveness of a pre-visit video/glaucoma question prompt list intervention to increase African American patient question-asking during medical visits. METHODS: Adult African American patients with glaucoma and a history of non-adherence to glaucoma medications were enrolled and randomized into intervention and usual care groups from three glaucoma practices. Visits were audio-recorded, transcribed, and coded for the questions patients asked during their visits. Researchers collected the pre-visit question prompt lists from the intervention group and compared their checked questions to the questions patients asked during their visit. RESULTS: Ninety-three subjects were randomized to the question prompt list intervention group. Subjects checked an average of 6.77 questions on the prompt list. Of the subjects who checked at least one question, 54.8% asked their provider at least one of the questions they checked. The most common questions asked about glaucoma medications that they had checked were "What time(s) of day should I take my drops?" (50.0%, 9 out of 18) and "How many times a day do I use my glaucoma medicines?" (50.0%, 3 out of 6). CONCLUSION: Although African American subjects with glaucoma have questions about glaucoma and their medications, few asked all their questions during visits. Future research should focus on how to improve question asking using a question prompt list.

Patterns of Mental Health Service Use During the Transition to Adulthood Among Autistic Adolescents and Young Adults.

Background: The time of transition into adulthood, especially when leaving school, is a time when many autistic adolescents and young adults (AYA) may stop receiving mental health services that they have relied on, leading to worse mental health outcomes. The purpose of this study was to describe patterns of mental health service use during transition to adulthood among autistic AYAs. Methods: We performed a cross-sectional study using electronic health records from years 2015 to 2019 from one large university health care system. We included autistic individuals ages 11-27 with at least one clinical encounter annually in the cohort. Outcomes included psychotropic medications and psychotherapy received, psychotropic polypharmacy, psychiatric emergency department (ED) visits, and adverse drug events. Results: Almost half of the 529 patients in the cohort received polypharmacy. The most common treatment was medication only (56.9%), followed by no treatment (22.7%), medication plus psychotherapy (18.7%), and psychotherapy only (data masked). The 17-21 age group had the highest odds of a psychiatric ED visit, whereas the 22-27 age group had the highest odds of receiving psychotropic medications and polypharmacy. Black AYA were more likely to receive psychotherapy and less likely to receive psychotropic polypharmacy than non-Hispanic Whites. Conclusion: Autistic individuals may benefit from more support from the health care system for their transition into adulthood to maintain use of beneficial mental health services as they leave school and to reduce the frequency of adverse outcomes. Access to providers experienced treating the complex needs of autistic individuals is important to reduce disparities.

Why is this an important issue?: Autistic adolescents and young adults often do not receive the mental health care services they need. As they transition into adulthood, they may lose important mental health services they relied on during childhood. Losing services may negatively affect their health and produce bad outcomes such as emergency department visits. Previous studies have suggested that autistic individuals often stop receiving important services as they leave school and lose access to school-based services. What was the purpose of this study?: The purpose was to describe patterns of mental health service use during the transition to adulthood among autistic adolescents and young adults. Underutilized services might indicate areas where the health care system needs to improve. What did the researchers do?: We used data from electronic health records from a large university health system in the southeastern United States. We identified autistic adolescents and young adults ages 11­27 in the data. We analyzed whether they received medication and/or psychotherapy for their mental health, and whether they had emergency department visits and adverse drug events. We also examined polypharmacy, meaning the use of multiple medications of different classes for mental health. What were the results of the study?: Almost half of the 529 included patients experienced polypharmacy. The majority received medication only, whereas smaller percentages received medication plus psychotherapy or psychotherapy alone. Emergency department visits were most common in the 17­21 age group, and psychotropic medications and polypharmacy were most used in the 22­27 age group. Black individuals were more likely to receive psychotherapy and less likely to receive psychotropic polypharmacy than non-Hispanic Whites. What do these findings add to what was already known?: These findings show that providers are relying heavily on medication, often including polypharmacy, to treat mental health issues in autistic adolescents and young adults. What are potential weaknesses of the study?: The study used only one health care system in one state and may not reflect what happens in other states with different policies. Data may include a high number of patients with complex medical conditions, which may not reflect the typical patient's experience. Medications prescribed by providers outside this particular health system may not be captured. How will these findings help autistic adults now or in the future?: These findings reveal potential areas for improvement for providers and health systems in treating autistic adults. Ensuring that autistic adolescents can continue to receive important mental health services as they age into adulthood can improve their health.

Provision of Patient Care Services and Goals for Expansion in Community and Ambulatory Care Pharmacies in Southeastern North Carolina.

In February 2022, the North Carolina legislature expanded pharmacist dispensing authority without a prescription. We conducted a cross-sectional interview of currently licensed pharmacy managers of outpatient pharmacies located in five counties in southeastern North Carolina. Pharmacy managers were eligible to participate if their pharmacy was either a community pharmacy, clinic-based pharmacy, or outpatient health system pharmacy. Forty-four of 116 eligible pharmacy managers participated (38% response rate). The most common services offered by pharmacies included medication synchronization services (93.2%), on-site immunizations (90.9%), and refill reminders (88.6%). The least common services offered include INR screens (0%), A1c screens (7%), and 'incident-to' billing services associated with CPT codes: annual wellness visits (0%), chronic care management (0%), transitional care management (0%), and remote patient monitoring (2.4%). The services that pharmacy managers wanted to learn more about through continuing education included: oral/transdermal contraceptives (60.5%), administration of long-acting injectables (LAIs) (36.8%), and dispensing of HIV post-exposure prophylaxis (PEP) (23.7%).

Neighborhood context and children's health care utilization and health outcomes: a comprehensive descriptive analysis of national survey data.

While child health and health care disparities arising from unequal distribution of resources are well documented, a nationally representative inventory of health and well-being for children across the spectrum of opportunity is lacking. Using the nationally representative sample of children from pooled 2013-2017 Medical Expenditure Panel Survey data linked to the census-tract-level Child Opportunity Index 2.0, a composite measure of neighborhood health, education, and socioeconomic conditions, we describe US children's socioeconomic characteristics, health care utilization and expenditures across the spectrum of child neighborhood opportunity levels. We found that neighborhood level of child opportunity was associated with almost all of children's health status, health care utilization, expenditures, access to care, and satisfaction with care outcomes. Children living in lower-opportunity neighborhoods had the highest rates of poor physical and mental health status and fewest ambulatory care visits but accounted for the highest share of emergency department visits. Their parents were also least likely to report having positive experiences with health care, good communication with providers, and easy access to care. Our findings underscore the myriad harms to children of gaps in health, education, and financial resources at the community level and provide targets for public investments to improve child-focused outcomes.

Quickly identifying people at risk of opioid use disorder in emergency departments: trade-offs between a machine learning approach and a simple EHR flag strategy.

OBJECTIVES: Emergency departments (EDs) are an important point of contact for people with opioid use disorder (OUD). Universal screening for OUD is costly and often infeasible. Evidence on effective, selective screening is needed. We assessed the feasibility of using a risk factor-based machine learning model to identify OUD quickly among patients presenting in EDs. DESIGN/SETTINGS/PARTICIPANTS: In this cohort study, all ED visits between January 2016 and March 2018 for patients aged 12 years and older were identified from electronic health records (EHRs) data from a large university health system. First, logistic regression modelling was used to describe and elucidate the associations between patient demographic and clinical characteristics and diagnosis of OUD. Second, a Gradient Boosting Classifier was applied to develop a predictive model to identify patients at risk of OUD. The predictive performance of the Gradient Boosting algorithm was assessed using F1 scores and area under the curve (AUC). OUTCOME: The primary outcome was the diagnosis of OUD. RESULTS: Among 345 728 patient ED visits (mean (SD) patient age, 49.4 (21.0) years; 210 045 (60.8%) female), 1.16% had a diagnosis of OUD. Bivariate analyses indicated that history of OUD was the strongest predictor of current OUD (OR=13.4, CI: 11.8 to 15.1). When history of OUD was excluded in multivariate models, baseline use of medications for OUD (OR=3.4, CI: 2.9 to 4.0) and white race (OR=2.9, CI: 2.6 to 3.3) were the strongest predictors. The best Gradient Boosting model achieved an AUC of 0.71, accuracy of 0.96 but only 0.45 sensitivity. CONCLUSIONS: Patients who present at the ED with OUD are high-need patients who are typically smokers with psychiatric, chronic pain and substance use disorders. A machine learning model did not improve predictive ability. A quick review of a patient's EHR for history of OUD is an efficient strategy to identify those who are currently at greatest risk of OUD.

Rapid and Deferred Help Seeking Among African American Parents of Children With Emotional and Behavioral Difficulties.

OBJECTIVE: Little is known about the factors African American parents consider when seeking care for their child after emotional and behavioral difficulties emerge. This study aimed to examine factors associated with seeking professional care within 30 days after identifying a child's need (i.e., rapid care seeking) and with deferring care for ≥1 year. METHODS: This cross-sectional study surveyed African American parents raising a child with emotional or developmental challenges (N=289). Logistic regression was used to examine associations of parent activation, medical mistrust, and care-seeking barriers with two outcomes: rapidly seeking care and deferring care seeking. RESULTS: About 22% of parents rapidly sought care, and 49% deferred care for 1 year or longer. Parents were more likely to rapidly seek care if they had higher parent activation scores; lived with other adults with mental health challenges; or, contrary to the authors' hypothesis, mistrusted doctors. Parents were less likely to rapidly seek care if the challenge did not initially bother them much or if their health insurance would not cover the service. Parents were more likely to defer care if they feared involuntary hospitalization for their child or if their health insurance would not cover the service. Parents were less likely to defer care if they had at least some college education or lived with other adults with mental health challenges. CONCLUSIONS: Community-based pediatric and child welfare professionals should be informed about facilitators and barriers to mental health care seeking as part of efforts to develop interventions that support African American families.

Association of Inadequate Provider Networks with Unmet Need for Health Services and Self-Employment among People with Disabilities.

People with disabilities (PWD) make up over a quarter of the U.S. population and often have complex medical needs. Insurance plans with narrow provider networks are growing in popularity despite concerns about limiting access to care, which may detrimentally affect PWD. This study used logistic regression to assess the relationship between inadequate networks and unmet health care needs and employment using the 2018 National Survey on Health and Disability (n= 1,009) adjusting for demographic and health factors. Having an inadequate network was associated with unmet needs (OR=5.56, 95%CI[3.33,9.28]) but not being employed for wages (OR=0.70, 95%CI[0.42,1.17]) or self-employed (OR=2.35, 95%CI[0.99,5.55]). There was an association between an inadequate network and selfemployment for those with good health (OR=3.37, 95%CI[1.19,9.57]). Providers for PWD should be aware of the role insurance quality can play in health outcomes. Policymakers should continue to monitor the impact of provider network adequacy on health outcomes.

Access to Effective Communication Aids and Services among American Sign Language Users across North Carolina: Disparities and Strategies to Address Them.

OBJECTIVE: To examine the extent to which communication aids and services used by American Sign Language (ASL) users and their healthcare providers aligns with preferences, satisfaction, and unmet needs; and to elicit from stakeholders strategies to address disparities. METHODS: A cross-sectional study was conducted of ASL users in North Carolina. Respondents completed an online survey presented in ASL and English (N = 189). McNemar's tests were used to compare rates of preferred and actual methods of communication. Logistic regression models explored relationships of accessible communication with dissatisfaction and unmet need. Qualitative interviews explored satisfaction with communication and reflections on what works, what does not, and outcomes (N = 54). RESULTS: While 45% of respondents used a professional sign language interpreter, 65% of respondents preferred to do so. Accessible communication was associated with lower odds of dissatisfaction with communication (OR = .19, p < .05). Dissatisfaction with communication was associated with greater odds of unmet need for healthcare (OR = 8.95, p < .05). Interview respondents emphasized their preference for on-site interpreters, explaining how video remote interpreting was subject to technical difficulties while writing back-and-forth led to important gaps in understanding. CONCLUSIONS: While ASL users prefer to use professional, on-site sign language interpreters to communicate with providers, most use some other form of communication instead. Findings emphasize the need for policy strategies to facilitate access to high quality, well-functioning professional interpreter services and to have those services delivered on-site to overcome disparities.

Comparing Continuous and Binary Group-based Trajectory Modeling Using Statin Medication Adherence Data.

BACKGROUND: Of 58 medication adherence group-based trajectory modeling (GBTM) published studies, 74% used binary and 26% used continuous GBTM. Few studies provided a rationale for this choice. No medication adherence studies have compared continuous and binary GBTM. OBJECTIVE: The objective of this study was to assess whether continuous versus binary GBTM: (1) impacts adherence trajectory shapes; and (2) results in the differential classification of patients into adherence groups. METHODS: Patients were prevalent statin users with myocardial infarction hospitalization, 66+ years old, and continuously enrolled in fee-for-service Medicare. Statin medication adherence was measured 6 months prehospitalization using administrative claims. Final GBTM specifications beyond default settings were selected using a previously defined standardized procedure and applied separately to continuous and binary (proportion of days covered ≥0.80) medication adherence measures. Assignment to adherence groups was compared between continuous and binary models using percent agreement of patient classification and the κ coefficient. RESULTS: Among 113,296 prevalent statin users, 4 adherence groups were identified in both models. Three groups were consistent: persistently adherent, progressively nonadherent, and persistently nonadherent. The fourth continuous group was moderately adherent (progressively adherent in the binary model). When comparing patient assignment into adherence groups between continuous and binary trajectory models, only 78.4% of patients were categorized into comparable groups (κ=0.641; 95% confidence interval: 0.638-0.645). The agreement was highest in the persistently adherent group (∼94%). CONCLUSIONS: Continuous and binary trajectory models are conceptually different measures of medication adherence. The choice between these approaches should be guided by study objectives and the role of medication adherence within the study-exposure, outcome, or confounder.

Effects of Estimated Community-Level Health Literacy on Treatment Initiation and Preventive Care Among Older Adults with Newly Diagnosed Diabetes.

PURPOSE: Individual measures of health literacy are not feasible for administration on a large scale, yet estimates of community-level health literacy in the US recently became available. We sought to investigate whether community-level health literacy estimates are associated with the initiation of oral antihyperglycemic agents (OHA) and the use of standard preventive care services among older adults with newly diagnosed diabetes. PATIENTS AND METHODS: We conducted a retrospective cohort study of 169,758 patients, ≥65 years old with hypertension and newly diagnosed type 2 diabetes using 2007-2011 data from the Center for Medicare and Medicaid Services Chronic Conditions Warehouse. We examined the relationship between community-level health literacy estimates and initiation of OHA, receipt of flu shots, eye exams, Hemoglobin A1c tests, and lipid tests within 12 months post diabetes diagnosis. RESULTS: Patients living in communities with above basic health literacy (vs. basic/below basic) were 15% more likely to initiate OHA (Hazard Ratio=1.15; 95% CI 1.12 to 1.18). After classifying the health literacy distribution as quintiles, the analysis revealed a dose-response relationship with OHA initiation that plateaued at the third and fourth quintiles and declined at the fifth quintile. Individuals residing in communities with higher health literacy were more likely to participate in preventive care services (relative risk ranged from 1.09 for lipid test [95% CI 1.07-1.11] to 1.43 for flu shot [95% CI 1.41-1.46]). CONCLUSION: Community-level health literacy estimates were associated with the initiation of OHA and uptake of standard preventive care services in older adults. Community-level health literacy may help to inform targeted diabetes education and support efforts.

Conversations between Latina mothers and their child's mental health provider: An observational study of shared decision-making regarding pediatric patient mental health needs.

OBJECTIVE: To evaluate shared decision-making (SDM) and delineate SDM processes in audio-recorded conversations between language congruent Spanish-/English-speaking clinicians and parents of pediatric mental health patients. METHODS: Transcripts from audio-recorded consultations were rated using the 5-Item Observing Patient Involvement in Decision Making (Observer OPTION5) instrument. One hundred encounters between seventeen clinicians and 100 parents were rated. Interrater reliability for total score was 0.98 between two trained coders (ICC range: 0.799-0.879). RESULTS: Scores ranged between 0 and 70 on a 100-point scale, with an average total Observer OPTION5 score of 33.2 (SD = 17.36). This corresponded to modest success at mutual shared decision-making. Clinicians and parents both showed effort at identifying a problem with treatment options and engaging in team talk. However, preference elicitation and integration were largely lacking. CONCLUSION: The present sample performed on par with other populations studied to date. It expands the evaluation of observed SDM to include Latino patients and new clinician populations. PRACTICE IMPLICATIONS: Use of the Observer OPTION5 Item instrument highlights that eliciting and integrating parent/patient preferences is a skill that requires attention when delivering culturally competent interventions.

Opening the black box of the group-based trajectory modeling process to analyze medication adherence patterns: An example using real-world statin adherence data.

PURPOSE: The rationale for choosing a final group-based trajectory modeling (GBTM) specification and evaluations of patient adherence patterns within groups are often omitted in the GBTM medication adherence literature. We aimed to (1) reveal the complexity of GBTM and (2) assess model discrimination of patient medication adherence patterns. METHODS: Medicare administrative claims were used to measure statin medication adherence as a continuous value in the 6 months before an acute myocardial infarction (AMI) hospitalization. Different GBTM specifications beyond default settings were constructed and compared with the Bayesian information criterion. Spaghetti plots were used to compare individual adherence patterns with group averages. RESULTS: Overall, 113,296 prevalent statin users met eligibility criteria. Four adherence groups were identified: persistently adherent, moderately adherent, progressively nonadherent, and persistently nonadherent. Spaghetti plots showed the persistently adherent and persistently nonadherent groups had relatively homogeneous adherence patterns that matched predicted trajectories well. Spaghetti plots also showed that, while adherence patterns in the progressively nonadherent group were not as homogeneous, most patients in this group appeared to be discontinuing statin therapy pre-AMI. CONCLUSIONS: Subjective decisions are necessary to identify a final trajectory model. Greater transparency and disclosure of these decisions in the medication adherence literature are needed. Individual patient adherence patterns from spaghetti plots provided additional diagnostic information about trajectory models beyond standard model-fit assessments to determine if group-average adherence estimates represent homogeneous patterns of medication adherence.

Preparing pharmacy students to communicate effectively with adolescents.

OBJECTIVES: To develop an elective workshop designed to equip pharmacy students with skills to effectively communicate with adolescents. To conduct preliminary evaluation of the workshop to assess its impact on pharmacy student perceived confidence and knowledge relating to the importance of adolescent counselling and counselling techniques. METHODS: Academics from three universities in three countries collaborated on the workshop development and evaluation. The workshop structure was designed upon the foundations of communication best practices and established techniques, and it consisted of two online modules and an in-person tutorial. Pharmacy students undertaking a 4-year Bachelor, Master or Doctor of Pharmacy degree from all three participating universities evaluated the workshop via pre- and post-questionnaires. KEY FINDINGS: A total of 81 pharmacy students volunteered to attend and evaluate the workshop. Of these 81 students, 31 completed paired pre- and post-questionnaires, 44 students completed unpaired questionnaires and six students were lost to follow-up. Of the paired pre- and post-questionnaires, students were mostly female (67.7%) with an average age of 24.9 years (standard deviation, SD = 5.6) and were in the first (32.3%), second (16.1%) or third (51.6%) year of their pharmacy programme. Over 80% of students somewhat or strongly agreed that the workshop made them feel more comfortable speaking with young people in pharmacy settings. Mean (SD) perceived confidence (pre = 21.7 (4.0) and post = 24.9 (4.5)) and knowledge scores (pre = 5.2 (1.5) and post = 6.6 (1.6)) significantly improved after undertaking the workshop. CONCLUSIONS: The workshop increased pharmacy student perceived confidence and knowledge relating to the importance of adolescent counselling and counselling techniques.

Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort.

OBJECTIVE: We aimed to investigate bias in applying machine learning to predict real-world individual treatment effects. MATERIALS AND METHODS: Using a virtual patient cohort, we simulated real-world healthcare data and applied random forest and gradient boosting classifiers to develop prediction models. Treatment effect was estimated as the difference between the predicted outcomes of a treatment and a control. We evaluated the impact of predictors (ie, treatment predictors [X1], confounders [X2], treatment effects modifiers [X3], and other outcome risk factors [X4]) with known effects on treatment and outcome using real-world data, and outcome imbalance on predicting individual outcome. Using counterfactuals, we evaluated percentage of patients with biased predicted individual treatment effects. RESULTS: The X4 had relatively more impact on model performance than X2 and X3 did. No effects were observed from X1. Moderate-to-severe outcome imbalance had a significantly negative impact on model performance, particularly among subgroups in which an outcome occurred. Bias in predicting individual treatment effects was significant and persisted even when the models had a 100% accuracy in predicting health outcome. DISCUSSION: Inadequate inclusion of the X2, X3, and X4 and moderate-to-severe outcome imbalance may affect model performance in predicting individual outcome and subsequently bias in predicting individual treatment effects. Machine learning models with all features and high performance for predicting individual outcome still yielded biased individual treatment effects. CONCLUSIONS: Direct application of machine learning might not adequately address bias in predicting individual treatment effects. Further method development is needed to advance machine learning to support individualized treatment selection.

It's Not Too Late to Improve Statin Adherence: Association Between Changes in Statin Adherence from Before to After Acute Myocardial Infarction and All-Cause Mortality.

Background Many older patients have a change in statin adherence-either an increase or a decrease-from before to after an acute myocardial infarction ( AMI ), but its association with mortality is unknown. Methods and Results Using Medicare administrative claims, a cohort of patients ≥66 years old with an AMI hospitalization from 2008 to 2010 was assembled. Statin adherence was measured for 180 days pre- AMI and 180 days post- AMI and categorized as severely nonadherent, moderately nonadherent, or adherent. Categorical change in statin adherence from pre- to post- AMI was assessed. Patients were then followed for up to 18 months for all-cause mortality. A Cox proportional hazards model was applied to estimate the effects of statin adherence change on all-cause mortality, adjusted for patient baseline characteristics. Of 101 011 eligible patients, 20% had a categorical increase in adherence, 16% decreased, and 14% remained nonadherent both pre- and post- AMI . Compared with patients who were always severely nonadherent (both pre- and post- AMI ), patients whose adherence increased from severely nonadherent to adherent (hazard ratio=0.83; 95% CI : 0.75-0.92) and patients who were always adherent (hazard ratio=0.88; 95% CI : 0.82-0.94) were less likely to die; patients whose adherence decreased from moderately nonadherent to severely nonadherent were more likely to die (hazard ratio=1.11; 95% CI : 1.01-1.22). Conclusions After an AMI , patients with decreased statin adherence had the worst mortality outcomes. However, patients with increased statin adherence had a similar risk of mortality compared with continuously adherent patients, suggesting that, even after an AMI , it is not too late to improve statin adherence.

Incidence of and Risk Factors for Severe Adverse Events in Elderly Patients Taking Angiotensin-Converting Enzyme Inhibitors or Angiotensin II Receptor Blockers after an Acute Myocardial Infarction.

STUDY OBJECTIVE: To assess the incidence of and risk factors associated with severe adverse events in elderly patients who used angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) after an acute myocardial infarction (AMI). DESIGN: Retrospective cohort study. DATA SOURCES: Centers for Medicare & Medicaid Services Chronic Conditions Data Warehouse (Medicare service claims database), American Community Survey of the U.S. Census Bureau, and Multum Lexicon Drug database. PATIENTS: A total of 101,588 eligible Medicare fee-for-service beneficiaries 66 years or older, who were hospitalized for AMI between January 1, 2008, and December 31, 2009, and used ACEIs or ARBs within 30 days after discharge. MEASUREMENTS AND MAIN RESULTS: Primary outcomes were hospitalizations for acute renal failure (ARF) and hyperkalemia. The secondary outcome was discontinuation or suspension of ACEI/ARB therapy after a visit to a health care provider. The primary risk factors of interest were age, sex, race/ethnicity, and chronic kidney disease (CKD). Cumulative incidence curves and multivariable Fine-Gray proportional hazards models with 95% confidence intervals (CIs) were used with death as a competing risk in both intention-to-treat (ITT) and as-treated (AT) analyses. In the study cohort, 2.8% experienced ARF, 0.5% experienced hyperkalemia, and 63.7% discontinued ACEI/ARB therapy within 1 year after hospital discharge. Approximately half of the incidence of ARF and hyperkalemia occurred within 6 months after hospital discharge, but the cumulative incidence increased after 6 months. Patients older than 85 years had a higher rate of ARF (ITT hazard ratio [HR] 1.15, 95% CI 1.04-1.28) and hyperkalemia (ITT HR 1.33, 95% CI 1.05-1.68) compared with those aged 65-74 years. Patients with baseline CKD had higher rates of ARF (ITT HR 1.61, 95% CI 1.42-1.82), hyperkalemia (ITT HR 1.41, 95% CI 1.11-1.77), and ACEI/ARB therapy discontinuation or suspension (ITT HR 1.05, 95% CI 1.02-1.09). CONCLUSION: We found a low incidence of ARF and hyperkalemia in elderly patients treated with ACEIs or ARBs after AMI hospitalization. However, a high rate of treatment discontinuation might prevent a higher rate of occurrence of these events. Long-term careful monitoring of severe adverse events and timely discontinuation of ACEIs or ARBs among elderly patients with advancing age and CKD after an AMI is warranted in clinical practice.

Changes in Statin Adherence Following an Acute Myocardial Infarction Among Older Adults: Patient Predictors and the Association With Follow-Up With Primary Care Providers and/or Cardiologists.

BACKGROUND: Hospitalizations for acute myocardial infarctions (AMIs) are associated with changes in statin adherence. It is unclear to what extent adherence changes, which patients are likely to change, and how post-discharge follow-up is associated with statin adherence change. METHODS AND RESULTS: This retrospective study used Medicare data for all fee-for-service beneficiaries 66 years and older with an AMI hospitalization in 2008-2010 and statin use before their index AMI. Multivariable multinomial logistic regression models (odds ratio [OR] and 99% confidence interval [CI]) were applied to assess associations between both patient characteristics and follow-up with a primary care provider and/or cardiologist with the outcome of statin adherence change (increase or decrease) from the 6-month pre- to 6-month post-AMI periods. Of 113 296 patients, 64.0% had no change in adherence, while 19.7% had increased and 16.3% had decreased adherence after AMI hospitalization. Black and Hispanic patients were more likely to have either increased or decreased adherence than white patients. Patients who required coronary artery bypass graft surgery (OR, 1.34; 99% CI, 1.21-1.49) or percutaneous transluminal coronary angioplasty/stent procedure (OR, 1.25; 99% CI, 1.17-1.32) during their index hospitalization were more likely to have increased adherence. Follow-up with a primary care provider was only mildly associated with increased adherence (OR, 1.08; 99% CI, 1.00-1.16), while follow-up with a cardiologist (OR, 1.15; 99% CI, 1.05-1.25) or both provider types (OR, 1.21; 99% CI, 1.12-1.30) had stronger associations with increased adherence. CONCLUSIONS: Post-AMI changes in statin adherence varied by patient characteristics, and improved adherence was associated with post-discharge follow-up care, particularly with a cardiologist or both a primary care provider and a cardiologist.

Adherence Tradeoff to Multiple Preventive Therapies and All-Cause Mortality After Acute Myocardial Infarction.

BACKGROUND: Angiotensin-converting enzyme (ACE) inhibitors/angiotensin II receptor blockers (ARB), beta-blockers and statins are recommended after acute myocardial infarction (AMI). Patients may adhere to some, but not all, therapies. OBJECTIVES: The authors investigated the effect of tradeoffs in adherence to ACE inhibitors/ARBs, beta-blockers, and statins on survival among older people after AMI. METHODS: The authors identified 90,869 Medicare beneficiaries ≥65 years of age who had prescriptions for ACE inhibitors/ARBs, beta-blockers, and statins, and survived ≥180 days after AMI hospitalization in 2008 to 2010. Adherence was measured by proportion of days covered (PDC) during 180 days following hospital discharge. Mortality follow-up extended up to 18 months after this period. The authors used Cox proportional hazards models to estimate hazard ratios of mortality for groups adherent to 2, 1, or none of the therapies versus group adherent to all 3 therapies. RESULTS: Only 49% of the patients adhered (PDC ≥80%) to all 3 therapies. Compared with being adherent to all 3 therapies, multivariable-adjusted hazard ratios (95% confidence intervals [CIs]) for mortality were 1.12 (95% CI: 1.04 to 1.21) for being adherent to ACE inhibitors/ARBs and beta-blockers only, 0.98 (95% CI: 0.91 to 1.07) for ACEI/ARBs and statins only, 1.17 (95% CI: 1.10 to 1.25) beta-blockers and statins only, 1.19 (95% CI: 1.07 to 1.32) for ACE inhibitors/ARBs only, 1.32 (95% CI: 1.21 to 1.44) for beta-blockers only, 1.26 (95% CI: 1.15 to 1.38) statins only, and 1.65 (95% CI: 1.54 to 1.76) for being nonadherent (PDC <80%) to all 3 therapies. CONCLUSIONS: Patients adherent to ACE inhibitors/ARBs and statins only had similar mortality rates as those adherent to all 3 therapies, suggesting limited additional benefit for beta-blockers in patients who were adherent to statins and ACE inhibitors/ARBs. Nonadherence to ACE inhibitors/ARBs and/or statins was associated with higher mortality.

An Electronic Health Record-Based Strategy to Systematically Assess Medication Use Among Primary Care Patients With Multidrug Regimens: Feasibility Study.

BACKGROUND: Medication nonadherence and misuse are public health and patient safety concerns. With the increased adoption of electronic health records (EHRs), greater opportunities exist to communicate directly with, and collect data from, patients through secure portals linked to EHRs. OBJECTIVE: The study objectives were to develop and pilot test a method of monitoring patient medication use in outpatient settings and determine the feasibility and acceptability of this approach. METHODS: Adult primary care patients on multidrug regimens were recruited from an academic internal medicine clinic by a trained research assistant. After completing a baseline, in-person interview, patients were sent a link to a questionnaire about medication use via the patient portal. One week later, the RA contacted patients to complete a follow-up telephone interview assessing patient satisfaction and experience with the questionnaire. Patient EHRs were also reviewed to determine the questionnaire completion rate. RESULTS: Of 100 patients enrolled, 89 completed the follow-up interview and 82 completed the portal questionnaire. The mean age of the sample was 61.8 (range 31-88) years. Approximately half (54/100, 54%) of the sample was male, two-thirds were white (67/100, 67%) and 26% (26/100) African-American. A total of 44% reported an annual household income of <$50,000 per year, and 17% (17/100) reported a high school or less level of education. No significant differences were found in questionnaire completion rates by sociodemographic characteristics or prior portal use. Most (68/73, 93%) found the questionnaire easy to access, easy to complete (72/73, 99%), and valuable (73/89, 82%). Time constraints and log-in difficulties were the main reasons for noncompletion. CONCLUSIONS: The portal questionnaire was well received by a socioeconomically diverse group of patients with high completion rates achieved. Routine use of a portal-based questionnaire could provide a valuable signal to providers and care teams about patient medication use and identify patients needing additional support.