Costs of Prescription Drugs for Children and Parental Adherence to Long-Term Medications.

Importance: The adverse effects of prescription drug costs on medication adherence and health have been well described for individuals. Because many families share financial resources, high medication costs for one could lead to cost-related nonadherence in another; however, these family-level spillover effects have not been explored. Objective: To evaluate whether the cost of a child's newly initiated medication was associated with changes in their parent's adherence to their own medications and whether that differed by likely duration of treatment. Design, Setting, and Participants: This cohort study used interrupted time-series analysis with a propensity score-matched control group from a large national US health insurer database (2010-2020) and included children initiating medication and their linked presumed parents using long-term medications. Exposure: The cost of the child's initiated medication. Child medication cost was classified based on highest (≥90th) or lowest (<10th) decile from out-of-pocket medication spending, stratified by whether the medication was intended for short- or long-term use. Children initiating high-cost medications (based on the highest decile) were propensity-score matched with children initiating low-cost medications. Main Outcome and Measures: The child's parent's adherence to long-term medication assessed by the widely used proportion of days covered metric in 30-day increments before and after the child's first fill date. Parent demographic characteristics, baseline adherence, and length of treatment, and family unit size and out-of-pocket medication spending were key subgroups. Results: Across 47 154 included pairs, the parents' mean (SD) age was 42.8 (7.7) years. Compared with a low-cost medication, initiating a high-cost, long-term medication was associated with an immediate 1.9% (95% CI, -3.8% to -0.9%) reduction in parental adherence sustained over time (0.2%; 95% CI, -0.1% to 0.4%). Similar results were observed for short-term medications (0.6% immediate change; 95% CI, -1.3% to -0.01%). Previously adherent parents, parents using treatment for longer periods, and families who spent more out-of-pocket on medications were more sensitive to high costs, with immediate adherence reductions of 2.8% (95% CI, -4.9% to -0.6%), 2.7% (95% CI, -4.7% to -0.7%), and -3.8% (95% CI, -7.2% to -0.5%), respectively, after long-term medication initiation. Conclusions and Relevance: In this cohort study small reductions in adherence across parents with higher child drug costs were observed. Health care systems should consider child-level or even household-level spending in adherence interventions or prescription policy design.

Changes in Induced Medical and Procedural Abortion Rates in a Commercially Insured Population, 2018 to 2022 : An Interrupted Time-Series Analysis.

BACKGROUND: During the COVID-19 pandemic, access to in-person care was limited, and regulations requiring in-person dispensing of mifepristone for medical abortions were relaxed. The effect of the pandemic and accompanying regulatory changes on abortion use is unknown. OBJECTIVE: To estimate changes in the incidence rate of induced medical and procedural abortions. DESIGN: Serial cross-sectional study with interrupted time-series analyses. SETTING: Commercially insured persons in the United States. PARTICIPANTS: Reproductive-aged women. INTERVENTION: Onset of the COVID-19 pandemic in March 2020 and subsequent regulatory changes affecting the in-person dispensing requirement for mifepristone. MEASUREMENTS: Monthly age-adjusted incidence rates of medical and procedural abortions were measured among women aged 15 to 44 years from January 2018 to June 2022. Medical abortions were classified as in-person or telehealth. Linear segmented time-series regression was used to calculate changes in abortion rates after March 2020. RESULTS: In January 2018, the estimated age-adjusted monthly incidence rate of abortions was 151 per million women (95% CI, 142 to 161 per million women), with equal rates of medical and procedural abortions. After March 2020, there was an immediate 14% decrease in the monthly incidence rate of abortions (21 per million women [CI, 7 to 35 per million women]; P = 0.004), driven by a 31% decline in procedural abortions (22 per million women [CI, 16 to 28 per million women]; P < 0.001). Fewer than 4% of medical abortions each month were administered via telehealth. LIMITATION: Only abortions reimbursed by commercial insurance were measured. CONCLUSION: The incidence rate of procedural abortions declined during the COVID-19 pandemic, and this lower rate persisted after other elective procedures rebounded to prepandemic rates. Despite removal of the in-person dispensing requirement for mifepristone, the use of telehealth for insurance-covered medical abortions remained rare. Amid increasing state restrictions, commercial insurers have the opportunity to increase access to abortion care, particularly via telehealth. PRIMARY FUNDING SOURCE: Health Resources and Services Administration.

Association of Type of Oral Anticoagulant Dispensed With Adverse Clinical Outcomes in Patients Extending Anticoagulation Therapy Beyond 90 Days After Hospitalization for Venous Thromboembolism.

Importance: Guidelines for managing venous thromboembolism (VTE) recommend at least 90 days of therapy with oral anticoagulants. Limited evidence exists about the optimal drug for continuing therapy beyond 90 days. Objective: To compare having prescriptions dispensed for apixaban, rivaroxaban, or warfarin after an initial 90 days of anticoagulation therapy for the outcomes of hospitalization for recurrent VTE, major bleeding, and death. Design, Setting, and Participants: This exploratory retrospective cohort study used data from fee-for-service Medicare (2009-2017) and from 2 commercial health insurance (2004-2018) databases and included 64 642 adults who initiated oral anticoagulation following hospitalization discharge for VTE and continued treatment beyond 90 days. Exposures: Apixaban, rivaroxaban, or warfarin prescribed after an initial 90-day treatment for VTE. Main Outcomes and Measures: Primary outcomes included hospitalization for recurrent VTE and hospitalization for major bleeding. Analyses were adjusted using propensity score weighting. Patients were followed up from the end of the initial 90-day treatment episode until treatment cessation, outcome, death, disenrollment, or end of available data. Weighted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs. Results: The study included 9167 patients prescribed apixaban (mean [SD] age, 71 [14] years; 5491 [59.9%] women), 12 468 patients prescribed rivaroxaban (mean [SD] age, 69 [14] years; 7067 [56.7%] women), and 43 007 patients prescribed warfarin (mean [SD] age, 70 [15] years; 25 404 [59.1%] women). The median (IQR) follow-up was 109 (59-228) days for recurrent VTE and 108 (58-226) days for major bleeding outcome. After propensity score weighting, the incidence rate of hospitalization for recurrent VTE was significantly lower for apixaban compared with warfarin (9.8 vs 13.5 per 1000 person-years; HR, 0.69 [95% CI, 0.49-0.99]), but the incidence rates were not significantly different between apixaban and rivaroxaban (9.8 vs 11.6 per 1000 person-years; HR, 0.80 [95% CI, 0.53-1.19]) or rivaroxaban and warfarin (HR, 0.87 [95% CI, 0.65-1.16]). Rates of hospitalization for major bleeding were 44.4 per 1000 person-years for apixaban, 50.0 per 1000 person-years for rivaroxaban, and 47.1 per 1000 person-years for warfarin, yielding HRs of 0.92 (95% CI, 0.78-1.09) for apixaban vs warfarin, 0.86 (95% CI, 0.71-1.04) for apixaban vs rivaroxaban, and 1.07 (95% CI, 0.93-1.24) for rivaroxaban vs warfarin. Conclusions and Relevance: In this exploratory analysis of patients prescribed extended-duration oral anticoagulation therapy after hospitalization for VTE, prescription dispenses for apixaban beyond 90 days, compared with warfarin beyond 90 days, were significantly associated with a modestly lower rate of hospitalization for recurrent VTE, but no significant difference in rate of hospitalization for major bleeding. There were no significant differences for comparisons of apixaban vs rivaroxaban or rivaroxaban vs warfarin.

Validation of obesity-related diagnosis codes in claims data.

AIM: To determine whether body mass index (BMI) can be accurately identified in epidemiological studies using claims databases. MATERIALS AND METHODS: Using the Mass General Brigham Research Patient Data Repository-Medicare-linked database, we identified a cohort of patients with a BMI measurement for the periods January 1 to June 31, 2014 or January 1 to June 31, 2016, to capture both the International Classification of Disease (ICD)-9 and ICD-10 eras. Patients were divided into two groups, with or without an obesity-related ICD code in the 6 months before or after the BMI measurement date. We created two binary measures, first for composite overweight, obesity, or severe obesity (BMI ≥25 kg/m2 ), and second for obesity or severe obesity (BMI ≥30 kg/m2 ). We calculated accuracy measures (sensitivity, specificity, positive predictive value [PPV] and negative predictive value [NPV]) for each obesity category for the overall cohort, and stratified by type 2 diabetes and ICD-code era. RESULTS: The cohort included 73 644 patients with a BMI measurement in 2014 or 2016, of whom 16 280 had an obesity-related ICD code. The specificity of obesity-related ICD codes (ICD-9 and ICD-10) was 99.7% for underweight/normal weight, 97.4% for overweight, 99.7% for obese and 98.9% for severely obese. For binary categories capturing BMI ≥25 kg/m2 and BMI ≥30 kg/m2 , specificity was 97.0% and 98.2%, and PPV was 86.9% and 97.3%. Sensitivity was low overall (<40%). Codes for patients with type 2 diabetes and codes in the ICD-10 era had higher sensitivity, PPV and NPV. CONCLUSION: Obesity-related ICD codes can accurately identify patients with obesity in epidemiological studies using claims databases.

The Patterns of Use of Medications for Inflammatory Bowel Disease During Pregnancy in the US and Sweden Are Changing.

BACKGROUND: Population-level data spanning different countries describing oral and parenteral treatment in pregnant women with inflammatory bowel disease (IBD) are scarce. We studied treatment with sulfasalazine/5-aminosalicylates, corticosteroids, thiopurines/immunomodulators, and tumor necrosis factor (TNF)-inhibitors in the United States (Optum Clinformatics Data Mart and the Medicaid Analytics Extract [MAX]) and in the Swedish national health registers. METHODS: We identified 2975 pregnant women in Optum (2004-2013), 3219 women in MAX (2001-2013), and 1713 women in Sweden (2006-2015) with a recorded diagnosis of IBD. We assessed patterns of use for each drug class according to filled prescriptions, assessing frequency of treatment continuation in those that were treated in the prepregnancy period. RESULTS: The proportion of women with Crohn's disease and ulcerative colitis on any treatment during pregnancy was 56.1% and 56.3% in Optum, 47.5% and 49.3% in MAX, and 61.3% and 64.7% in Sweden, respectively, and remained stable over time. Sulfasalazine/5-aminosalicylates was the most commonly used treatment in Crohn's disease, ranging from 25.1% in MAX to 31.8% in Optum, and in ulcerative colitis, ranging from 34.9% in MAX to 53.6% in Sweden. From 2006 to 2012, the TNF-inhibitor use increased from 5.0% to 15.5% in Optum, from 3.6% to 8.5% in MAX, and from 0.7% to 8.3% in Sweden. Continuing TNF-inhibitor treatment throughout pregnancy was more common in Optum (55.8%) and in MAX (43.0%) than in Sweden (11.8%). CONCLUSIONS: In this population-based study from 2 countries, the proportion of women with IBD treatment in pregnancy remained relatively constant. TNF-inhibitor use increased substantially in both countries.

Antidiabetic medication use in commercially insured children and adolescents in the United States from 2004 to 2019.

AIM: To describe the patterns of non-insulin antidiabetic medication use, initiation and adherence in the paediatric population. METHODS: We conducted a descriptive study of non-insulin antidiabetic medication use in children and adolescents (aged 10-18 years) using real-world data from a nationwide US commercial claims database (January 2004-September 2019). Trends in the prevalence of non-insulin antidiabetic medication use overall and by class were evaluated. Among new users of non-insulin antidiabetic agents, medication adherence was examined using group-based trajectory models. RESULTS: In a cohort of more than 1 million paediatric patients, the prevalence of any non-insulin antidiabetic medication use was 75.7 per 100 000 patients in 2004 and more than doubled to 162.0 per 100 000 in 2019. Biguanides (metformin) was by far the most widely used medication class. The use of newer classes was low (<10 per 100 000), but there was an uptake in the use of glucagon-like peptide-1 receptor agonists after liraglutide received paediatric approval in 2019. Medication adherence was poor during the 18 months after treatment initiation: 79.6% of initiators experienced an early treatment interruption (median time to interruption: 90 days among metformin monotherapy initiators) and 21% of initiators did not return for a prescription refill after the first month. CONCLUSIONS: There was a substantial increase in non-insulin antidiabetic medication use among commercially insured paediatric patients from 2004 to 2019. Nearly all patients were treated with metformin, while the use of newer agents remained low. Despite the increase in medication use, short treatment episodes were observed, even among patients with a diagnosis of type 2 diabetes, raising concern over poor adherence.

Trends in Clinical Characteristics and Prescribing Preferences for SGLT2 Inhibitors and GLP-1 Receptor Agonists, 2013-2018.

OBJECTIVE: There is a paucity of data evaluating recent changes in clinical and prescriber characteristics of patients initiating sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide 1 receptor agonists (GLP-1RA). RESEARCH DESIGN AND METHODS: U.S.-based administrative claims data (July 2013 to June 2018) were used to identify initiators of SGLT2i and GLP-1RA. RESULTS: Over 5 years, empagliflozin initiation (as a proportion of SGLT2i) increased by 57.1% (P < 0.001 for trend), while canagliflozin initiation declined by 75.1% (P < 0.001). Empagliflozin was the only agent within SGLT2i with an increase in the proportion of patients with myocardial infarction, stroke, or heart failure (collectively called CVD-HF) (P < 0.001). Liraglutide initiation (as a proportion of total GLP-1RA) declined by 32.1% (P < 0.001), and dulaglutide initiation increased by 34.1% (P < 0.001); the proportion of patients with CVD-HF increased the most in liraglutide initiators (5.1% increase; P < 0.001). Most prescribers were internists or endocrinologists; cardiologist prescribing remained low (<1%). CONCLUSIONS: For SGLT2i, shifts in preference for empagliflozin followed changes in drug labels and guidelines, while for GLP-1RA, other factors such as price or ease of administration may have led to a preference for dulaglutide over liraglutide.

Perinatal Outcomes Associated with Maternal Asthma and Its Severity and Control During Pregnancy.

BACKGROUND: Estimates of the effects of maternal asthma on pregnancy outcomes are inconsistent across studies, possibly because of differences in exposure definition. OBJECTIVE: To evaluate the risk of adverse perinatal outcomes associated with maternal asthma diagnosis, severity, and control in a large, nationally representative cohort. METHODS: This study was conducted within the IBM Health MarketScan Commercial Claims and Encounters Database (2011-2015) and the Medicaid Analytic eXtract database (2000-2014). Asthma was identified by diagnosis and treatment codes, severity was based on medications dispensed, and control was based on short-acting ß-agonist dispensations and exacerbations. We estimated the relative risks (RRs) of stillbirth, spontaneous abortion, preterm birth, small for gestational age (SGA), neonatal intensive care unit (NICU) admission, and congenital malformations, comparing pregnancies with differing asthma disease status. RESULTS: We identified 29,882 pregnancies complicated by asthma in the MarketScan database and 160,638 in the Medicaid Analytic eXtract database. We observed no consistent associations between asthma diagnosis, severity, or control, and stillbirth, abortions, or malformations. However, we observed increased risks of prematurity, SGA, and NICU admission among women with asthma compared with those without asthma. Compared with women with well-controlled asthma, women with poor control late in pregnancy had an increased risk of preterm birth (relative risk, 1.39; 95% CI, 1.32-1.46) and NICU admission (relative risk, 1.26; 95% CI, 1.17-1.35). More severe asthma was associated with SGA (relative risk, 1.18; 95% CI, 1.07-1.30). CONCLUSIONS: We did not observe an increased risk of pregnancy losses or malformations among women with asthma. However, we found an association between asthma severity and SGA, and between exacerbations late in pregnancy and preterm delivery and NICU admission.

Use of prescription opioids among patients with rheumatic diseases compared to patients with hypertension in the USA: a retrospective cohort study.

OBJECTIVE: Long-term opioid prescribing has increased amid concerns over effectiveness and safety of its use. We examined long-term prescription opioid use among patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), psoriatic arthritis (PsA) and ankylosing spondylitis (AS), compared with patients with hypertension (HTN). METHODS: We used Truven MarketScan, a US commercial claims database (2003-2014) and identified RA, SLE, PsA and AS cohorts, each matched by age and sex to patients with HTN. We compared long-term opioid prescription use during 1 year of follow-up and used multivariable Poisson regression model to estimate the relative risk (RR) of receiving opioid prescriptions based on underlying disease cohort. RESULTS: We identified 181 710 RA (mean age 55.3±13.1, 77% female), 45 834 SLE (47.1±13.1, 91% female), 30 307 PsA (49.7±11.5, 51% female), 7686 AS (44.6±12.0, 39% female) and parallel numbers of age-matched and sex-matched patients with HTN. The proportion of patients receiving long-term opioid prescriptions, and other measures of opioid prescriptions were higher among rheumatic disease cohorts and highest in patients with AS. AS was associated with the highest RR of receiving long-term opioid prescriptions (RR 2.73, 95% CI 2.60 to 2.87) versus HTN, while RRs were 2.21 (2.16 to 2.25) for RA, 1.94 (1.87 to 2.00) for PsA and 1.82 (1.77 to 1.88) for SLE. CONCLUSIONS: Patients with rheumatic disease have higher rates of long-term opioid prescriptions, and patients with AS have the highest risk of receiving opioid prescriptions versus patients with HTN. Further studies investigating the effectiveness of disease-targeted treatments on decreasing opioid use in these four rheumatic diseases may provide strategies for reducing prescription opioids.

Association of Ustekinumab vs TNF Inhibitor Therapy With Risk of Atrial Fibrillation and Cardiovascular Events in Patients With Psoriasis or Psoriatic Arthritis.

Importance: Accumulating evidence indicates that there is an increased risk of cardiovascular disease among patients with psoriatic disease. Although an emerging concern that the risk of atrial fibrillation (AF) may also be higher in this patient population adds to the growing support of initiating early interventions to control systemic inflammation, evidence on the comparative cardiovascular safety of current biologic treatments remains limited. Objective: To evaluate the risk of AF and major adverse cardiovascular events (MACE) associated with use of ustekinumab vs tumor necrosis factor inhibitors (TNFi) in patients with psoriasis or psoriatic arthritis. Design, Setting, and Participants: This cohort study included data from a nationwide sample of 78 162 commercially insured patients in 2 US commercial insurance databases (Optum and MarketScan) from September 25, 2009, through September 30, 2015. Patients were included if they were 18 years or older, had psoriasis or psoriatic arthritis, and initiated ustekinumab or a TNFi therapy. Exclusion criteria included history of AF or receipt of antiarrhythmic or anticoagulant therapy during the baseline period. Exposures: Initiation of ustekinumab vs TNFi therapy. Main Outcomes and Measures: Incident AF and MACE, including myocardial infarction, stroke, or coronary revascularization. Results: A total of 60 028 patients with psoriasis or psoriatic arthritis (9071 ustekinumab initiators and 50 957 TNFi initiators) were included in the analyses. The mean (SD) age was 46 (13) years in Optum and 47 (13) in MarketScan, and 29 495 (49.1%) were male. Overall crude incidence rates (reported per 1000 person-years) for AF were 5.0 (95% CI, 3.8-6.5) for ustekinumab initiators and 4.7 (95% CI, 4.2-5.2) for TNFi initiators, and for MACE were 6.2 (95% CI, 4.9-7.8) for ustekinumab initiators and 6.1 (95% CI, 5.5-6.7) for TNFi initiators. The combined adjusted hazard ratio for incident AF among ustekinumab initiators was 1.08 (95% CI, 0.76-1.54) and for MACE among ustekinumab initiators was 1.10 (95% CI, 0.80-1.52) compared with TNFi initiators. Conclusions and Relevance: No substantially different risk of incident AF or MACE after initiation of ustekinumab vs TNFi was observed in this study. This information may be helpful when weighing the risks and benefits of various systemic treatment strategies for psoriatic disease.

Quantifying Social Reinforcement Among Family Members on Adherence to Medications for Chronic Conditions: a US-Based Retrospective Cohort Study.

BACKGROUND: More than 50% of patients are non-adherent to medications, often without an easily identifiable reason to clinicians. No study has quantified the extent to which health behaviors like medication-taking are correlated within families using national or routinely collected data for a range of conditions. OBJECTIVE: To examine how an individual's health behaviors are influenced by those of their family members, particularly in adherence to medications for chronic conditions. DESIGN: Retrospective cohort study. PATIENTS: Using claims from a large nationwide insurer, we identified patients initiating medications for one of five chronic conditions with a family member who also recently filled one of these medications. MAIN MEASURES: The primary exposure was whether family members were fully adherent (defined as a proportion of days covered ≥ 80%) before the patient's date of initiation. The outcome of interest was whether patients were fully adherent in the 12 months after initiation. Baseline demographic and clinical characteristics were also measured before initiation. We used multivariable modified Poisson regression to examine the association between prior family adherence and subsequent patient adherence. KEY RESULTS: Among 254,144 patients, rates of full adherence among patients whose family members were and were not fully adherent were 37.3% and 26.9%, respectively (adjusted relative risk [aRR] 1.29, 95%CI 1.28-1.31). The association was stronger when both used cardiometabolic medications (aRR 1.35, 95%CI 1.32-1.37). Similarly, patients were also 38% more likely to be adherent if they and their family members used a medication for the same condition (aRR 1.38, 95%CI 1.35-1.40). CONCLUSIONS: Adherence among family members appeared to be highly correlated, suggesting positive reinforcement by family or the sharing of unmeasured behaviors or characteristics associated with better adherence. Regardless, information about prior adherence among family members from routinely collected data could potentially inform adherence prediction or intervention efforts.

Impact of High Deductible Health Plans on Cardiovascular Medication Adherence and Health Disparities.

BACKGROUND: High deductible health plans (HDHP) are associated with high levels of patient cost-sharing and are becoming increasingly used in the United Status as a means of reducing healthcare utilization and spending. Our objective is to determine whether HDHP enrollment is associated with a change in adherence to evidence-based medications to treat cardiovascular risk factors and whether such changes vary based on race/ethnicity or socioeconomic status. METHODS AND RESULTS: We conducted a retrospective cohort study using an interrupted time series with concurrent control group design among beneficiaries of Aetna-a national commercial insurer. We included 14 866 patients who filled prescriptions for medications to treat hypertension, high cholesterol, or diabetes mellitus between 2009 and 2014 and who switched from a traditional plan into an HDHP and 14 866 controls who did not switch to an HDHP matched based on calendar time, medication class, race/ethnicity, socioeconomic status, and propensity score. We were specifically interested in evaluating 4 prespecified subgroups based on race/ethnicity (white versus nonwhite) and socioeconomic status (higher versus lower). The main outcome was medication adherence as measured by proportion of days covered. The overall cohort had an average age of 53 years, and 44% were women. Baseline adherence was the lowest in the nonwhite patient group. Switching to an HDHP was associated with a decrease in the level of adherence of 5 percentage points across all 4 subgroups (change in level, -5.0%; 95% CI, -5.9% to -4.0%; P<0.0001). CONCLUSIONS: HDHP enrollment was associated with a reduction in adherence to medications to treat cardiovascular risk factors. The magnitude of this effect did not vary based on race/ethnicity or socioeconomic status. Because racial/ethnic minorities have lower rates of medication adherence, future studies should evaluate whether HDHP-associated changes in adherence have greater clinical consequences for these patients.

Predictors of Drug Shortages and Association with Generic Drug Prices: A Retrospective Cohort Study.

BACKGROUND: Prescription drug shortages can disrupt essential patient care and drive up drug prices. OBJECTIVE: To evaluate some predictors of shortages within a large cohort of generic drugs in the United States and to determine the association between drug shortages and changes in generic drug prices. METHODS: This was a retrospective cohort study. Outpatient prescription claims from commercial health plans between 2008 and 2014 were analyzed. Seven years of data were divided into fourteen 6-month periods; the first period was designated as the baseline period. The first model estimated the probability of experiencing a drug shortage using drug-specific competition levels, market sizes, formulations (e.g., capsules), and drug prices as predictors. The second model estimated the percentage change in drug prices from baseline on the basis of drug shortage duration. RESULTS: From 1.3 billion prescription claims, a cohort of 1114 generic drugs was identified. Low-priced generic drugs were at a higher risk for drug shortages compared with medium- and high-priced generic drugs, with odds ratios of 0.60 (95% confidence interval [CI] 0.44-0.82) and 0.72 (95% CI 0.52-0.99), respectively. Compared with periods of no shortage, drug shortages lasting less than 6 months, 6 to 12 months, 12 to 18 months, and at least 18 months had corresponding price increases of 6.0% (95% CI 4.7-7.4), 10.9% (95% CI 8.5-13.4), 14.2% (95% CI 10.6-17.9), and 14.0% (95% CI 9.1-19.2), respectively. CONCLUSIONS: Study findings may not be generalizable to drugs that became generic after 2008 or those commonly used in an inpatient setting. The lowest priced drugs are at a substantially elevated risk of experiencing a drug shortage. Periods of drug shortages were associated with modest increases in drug prices.

Using Previous Medication Adherence to Predict Future Adherence.

BACKGROUND: Medication nonadherence is a major public health problem. Identification of patients who are likely to be and not be adherent can guide targeted interventions and improve the design of comparative-effectiveness studies. OBJECTIVE: To evaluate multiple measures of patient previous medication adherence in light of predicting future statin adherence in a large U.S. administrative claims database. METHODS: We identified a cohort of patients newly initiating statins and measured their previous adherence to other chronic preventive medications during a 365-day baseline period, using metrics such as proportion of days covered (PDC), lack of second fills, and number of dispensations. We measured adherence to statins during the year after initiation, defining high adherence as PDC ≥ 80%. We built logistic regression models from different combinations of baseline variables and previous adherence measures to predict high adherence in a random 50% sample and tested their discrimination using concordance statistics (c-statistics) in the other 50%. We also assessed the association between previous adherence and subsequent statin high adherence by fitting a modified Poisson model from all relevant covariates plus previous mean PDC categorized as < 25%, 25%-79%, and ≥ 80%. RESULTS: Among 89,490 statin initiators identified, a prediction model including only demographic variables had a c-statistic of 0.578 (95% CI = 0.573-0.584). A model combining information on patient comorbidities, health care services utilization, and medication use resulted in a c-statistic of 0.665 (95% CI = 0.659-0.670). Models with each of the previous medication adherence measures as the only explanatory variable yielded c-statistics ranging between 0.533 (95% CI = 0.529-0.537) for lack of second fill and 0.666 (95% CI = 0.661-0.671) for maximum PDC. Adding mean PDC to the combined model yielded a c-statistic of 0.695 (95% CI = 0.690-0.700). Given a sensitivity of 75%, the predictor improved the specificity from 47.7% to 53.6%. Patients with previous mean PDC < 25% were half as likely to show high adherence to statins compared with those with previous mean PDC ≥ 80% (risk ratio = 0.49, 95% CI = 0.46-0.50). CONCLUSIONS: Including measures of previous medication adherence yields better prediction of future statin adherence than usual baseline clinical measures that are typically used in claims-based studies. DISCLOSURES: This study was funded by the Patient-Centered Outcomes Research Institute (ME-1309-06274). Kumamaru, Kohsaka, and Miyata are affiliated with the Department of Healthcare Quality Assessment at the University of Tokyo, which is a social collaboration department supported by National Clinical Database. The department was formerly supported by endowments from Johnson & Johnson K.K., Nipro, Teijin Pharma, Kaketsuken K.K., St. Jude Medical Japan, Novartis Pharma K.K., Taiho Pharmaceutical, W. L. Gore & Associates, Olympus Corporation, and Chugai Pharmaceutical. Gagne has received grants from Novartis Pharmaceuticals and Eli Lilly and Company to the Brigham and Women's Hospital for unrelated work. He is a consultant to Aetion, a software company, and to Optum. Choudhry has received grants from the National Heart, Lung, and Blood Institute, PhRMA Foundation, Merck, Sanofi, AstraZeneca, CVS, and MediSafe. Schneeweiss is consultant to WHISCON and Aetion, a software manufacturer of which he also owns equity. He is principal investigator of investigator-initiated grants to the Brigham and Women's Hospital from Bayer, Genentech, and Boehringer Ingelheim unrelated to the topic of this study. He does not receive personal fees from biopharmaceutical companies. No potential conflict of interest was reported by the other authors.

Time to Filling of New Prescriptions for Chronic Disease Medications Among a Cohort of Elderly Patients in the USA.

BACKGROUND: Data on primary nonadherence remains sparse, due to a lack of data resources that combine information on medication prescribing and dispensing. In addition, previous work on primary nonadherence has used follow-up periods ranging from 30 days up to 18 months, making results difficult to compare. OBJECTIVE: To evaluate the prevalence and predictors of primary nonadherence by measuring time until filling in a cohort of elderly patients. DESIGN: Retrospective cohort study of new prescription episodes. PATIENTS: Data comes from a linked database of electronic health records and claims for patients aged ≥ 65 years enrolled in Medicare Parts A, B, and D during 2007-2014. We identified patients receiving a new prescription for a chronic disease medication with continuous Medicare enrollment for 180 days prior to the index prescription order and no fills or orders for the medication during this period. MAIN MEASURES: Time until filling of the index prescription for up to 1 year. KEY RESULTS: In 32,586 new medication orders, the majority (75%; 95% confidence interval [CI] 74-75%) of new prescriptions were filled within 7 days, 81% (81-82%) were filled within 30 days, and 91% (91-92%) were filled within 1 year. The rate and timing of dispensing were similar across therapeutic areas. Timing of initial filling within 7 days or within 30 days could be predicted with moderate accuracy (C-statistics = 0.70-0.74). Patients with > 5 current medications on hand at the time of the index prescription and average out-of-pocket medication costs < $5 filled 89% of prescriptions within 7 days. Patients with no current medications and out-of-pocket costs > $50 filled only 25% of prescriptions within 7 days. CONCLUSIONS: Nearly 20% of patients do not fill a new chronic disease prescription within 30 days. Patients with fewer recent fills and higher out-of-pocket costs are at higher risk of primary nonadherence.

Cardiovascular (CV) Risk after Initiation of Abatacept versus TNF Inhibitors in Rheumatoid Arthritis Patients with and without Baseline CV Disease.

OBJECTIVE: To evaluate the cardiovascular safety of abatacept (ABA) versus tumor necrosis factor inhibitors (TNFi) in rheumatoid arthritis (RA) patients with and without underlying cardiovascular disease (CVD). METHODS: We identified RA patients with and without baseline CVD who initiated ABA or TNFi by using data from 2 large US insurance claims databases: Medicare (2008-2013) and Truven MarketScan (2006-2015). After stratifying by baseline CVD, ABA initiators were 1:1 propensity score (PS) matched to TNFi initiators to control for > 60 baseline covariates. Cox proportional hazards regression estimated the HR and 95% CI for a composite endpoint of CVD including myocardial infarction, stroke/transient ischemic stroke, or coronary revascularization in the PS-matched cohorts. HR from 2 databases were combined through an inverse variance-weighted fixed-effects model. RESULTS: We included 6102 PS-matched pairs of ABA and TNFi initiators from Medicare and 6934 pairs from MarketScan. Of these, 35.3% in Medicare and 14.0% in MarketScan had baseline CVD. HR (95% CI) for composite CVD in the overall ABA group versus TNFi was 0.67 (0.55-0.81) in Medicare and 1.08 (0.83-1.41) in MarketScan with the combined HR of 0.79 (0.67-0.92). Among patients with baseline CVD, the HR (95% CI) was 0.71 (0.55-0.92) in Medicare and 1.02 (0.68-1.51) in MarketScan, with the combined HR of 0.79 (0.64-0.98). CONCLUSION: In this large cohort of publicly or privately insured patients with RA in the United States, ABA was associated with a 20% reduced risk of CVD versus TNFi. While this observational study is subject to potential residual confounding, our results were consistent in patients with baseline CVD.

Predicting Adherence to Chronic Disease Medications in Patients with Long-term Initial Medication Fills Using Indicators of Clinical Events and Health Behaviors.

BACKGROUND: Efforts at predicting long-term adherence to medications have been focused on patients filling typical month-long supplies of medication. However, prediction remains difficult for patients filling longer initial supplies, a practice that is becoming increasingly common as a method to enhance medication adherence. OBJECTIVES: To (a) extend methods involving short-term filling behaviors and (b) develop novel variables to predict adherence in a cohort of patients receiving longer initial prescriptions. METHODS: In this retrospective cohort study, we used claims from a large national insurer to identify patients initiating a 90-day supply of oral medications for diabetes, hypertension, and hyperlipidemia (i.e., statins). Patients were included in the cohort if they had continuous database enrollment in the 180 days before and 365 days after medication initiation. Adherence was measured in the subsequent 12 months using the proportion of days covered metric. In total, 125 demographic, clinical, and medication characteristics at baseline and in the first 30-120 days after initiation were used to predict adherence using logistic regression models. We used 10-fold cross-validation to assess predictive accuracy by discrimination (c-statistic) measures. RESULTS: In total, 32,249 patients met the inclusion criteria, including 14,930 patients initiating statins, 12,887 patients initiating antihypertensives, and 4,432 patients initiating oral hypoglycemics. Prediction using only baseline variables was relatively poor (cross-validated c-statistic = 0.644). Including indicators of acute clinical conditions, health resource utilization, and short-term medication filling in the first 120 days greatly improved predictive ability (0.823). A model that incorporated all baseline characteristics and predictors within the first 120 days after medication initiation more accurately predicted future adherence (0.832). The best performing model that included all 125 baseline and postbaseline characteristics had strong predictive ability (0.837), suggesting the utility of measuring these novel postbaseline variables in this population. CONCLUSIONS: We demonstrate that long-term, 12-month adherence in patients filling longer supplies of medication can be strongly predicted using a combination of clinical, health resource utilization, and medication filling characteristics before and after treatment initiation. DISCLOSURES: This work was supported by an unrestricted grant from CVS Health to Brigham and Women's Hospital. Shrank and Matlin were employees and shareholders at CVS Health at the time of this study; they report no financial interests in products or services that are related to this subject. Spettell is an employee of, and shareholder in, Aetna. This research was previously presented at the 2016 Annual Conference of the International Society for Pharmacoepidemiology; August 25-28, 2016; Dublin, Ireland.

Medication Synchronization Programs Improve Adherence To Cardiovascular Medications And Health Care Use.

Medication synchronization programs based in pharmacies simplify the refill process by enabling patients to pick up all of their medications on a single visit. This can be especially important for improving medication adherence in patients with complex chronic diseases. We evaluated the impact of two synchronization programs on adherence, cardiovascular events, and resource use among Medicare beneficiaries treated between 2011 and 2014 for two or more chronic conditions-at least one of which was hypertension, hyperlipidemia, or diabetes. Among nearly 23,000 patients matched by propensity score, the mean proportion of days covered (a measure of medication adherence) for the control group of patients without a synchronization program was 0.84 compared to 0.87 for synchronized patients-a gain of 3 percentage points. Adherence improvement in synchronized versus control patients was three times greater in patients with low baseline adherence, compared to those with higher baseline adherence. Rates of hospitalization and emergency department visits and rates of outpatient visits were 9 percent and 3 percent lower in the synchronized group compared to the control group, respectively, while cardiovascular event rates were similar. Synchronization programs were associated with improved adherence for patients with cardiovascular disease, especially those with low baseline adherence.

Comparative Cardiovascular Risk of Abatacept and Tumor Necrosis Factor Inhibitors in Patients With Rheumatoid Arthritis With and Without Diabetes Mellitus: A Multidatabase Cohort Study.

BACKGROUND: We examined the cardiovascular risk of abatacept compared with tumor necrosis factor (TNF) inhibitors in patients with rheumatoid arthritis with and without diabetes mellitus (DM). METHODS AND RESULTS: We conducted a cohort study of patients with rheumatoid arthritis who newly started abatacept or TNF inhibitors using claims data from Medicare and MarketScan. The primary outcome was a composite cardiovascular end point of myocardial infarction (MI), stroke/transient ischemic attack, and coronary revascularization. To account for >60 baseline characteristics, abatacept initiators were 1:1 propensity score (PS) matched to TNF initiators in each database. Cox proportional hazards models estimated hazard ratio (HR) and 95% confidence interval (CI) in the PS-matched cohort per database. A fixed-effects meta-analysis pooled database-specific HRs. We included a total of 13 039 PS-matched pairs of abatacept and TNF inhibitor initiators (6103 pairs in Medicare and 6936 pairs in MarketScan). A total of 34.7% in Medicare and 19.8% in MarketScan had baseline DM. The HR (95% CI) for the primary outcome associated with abatacept use versus TNF inhibitor was 0.81 (0.66-0.99) in Medicare and 0.95 (0.74-1.23) in MarketScan, with a pooled HR of 0.86 (95% CI, 0.73-1.01; P=0.3 for heterogeneity). The risk of the primary outcome was lower in abatacept initiators versus TNF inhibitors in the DM subgroup, with a pooled HR of 0.74 (95% CI, 0.57-0.96; P=0.7 for heterogeneity), but not in the non-DM subgroup, with a pooled HR of 0.94 (95% CI, 0.77-1.14; P=0.4 for heterogeneity). CONCLUSIONS: In this large population-based cohort of patients with rheumatoid arthritis, abatacept use appeared to be associated with a modestly reduced cardiovascular risk when compared with TNF inhibitor use, particularly in patients with DM.