Prescription drug insurance coverage and patient health outcomes: a systematic review.

Previous reviews have shown that changes in prescription drug insurance benefits can affect medication use and adherence. We conducted a systematic review of the literature to identify studies addressing the association between prescription drug coverage and health outcomes. Studies were included if they collected empirical data on expansions or restrictions of prescription drug coverage and if they reported clinical outcomes. We found 23 studies demonstrating that broader prescription drug insurance reduces use of other health care services and has a positive impact on patient outcomes. Coverage gaps or caps on drug insurance generally led to worse outcomes. States should consider implementing the Affordable Care Act expansions in drug coverage to improve the health of low-income patients receiving state-based health insurance.

Healthcare resource utilization and related cost among hospitalized patients with prurigo nodularis: a retrospective cohort study using Italian health claims data.

BACKGROUND: Prurigo nodularis (PN) is a chronic, inflammatory skin disease characterized by intense itch. Little evidence exists on the burden of PN in Italy. This real-world analysis aimed to investigate the healthcare resource consumption and related direct costs of patients hospitalized for PN. METHODS: The analysis utilized the administrative databases of healthcare units that cover approximately 12 million inhabitants across Italy. Adult patients were included by ICD-9-CM=698.3 (lichen simplex chronicus; neurodermatitis circumscripta; PN) as proxy of PN diagnosis, from 01/2010 to 09/2021, and had 1 year of data availability before (baseline) and after (follow-up) hospitalization (index date). These patients were 1:2 matched by age, sex, and index date (year) to adults without such hospitalization in the baseline period (matched non-PN controls). RESULTS: The analysis comprised 295 PN-hospitalized patients, matched with 590 non-PN individuals (mean age 63.2 years, 43.7% female). At baseline, patients had a greater comorbidity burden than non-PN controls, including higher prevalence of hypertension (56.6% vs. 36.6%, respectively), dyslipidemia (26.4% vs. 18.0%), diabetes (24.4% vs. 12.5%) and mental health conditions (14.9% vs. 7.8%). During 1-year follow-up, PN-hospitalized patients had significantly higher resource consumption than matched controls, in terms of mean number of prescriptions most commonly prescribed in PN patients (5.1 vs. 1.9, P<0.001), other drugs (11.7 vs. 6.5, P<0.001), all-cause hospitalization (1.4 vs. 0.1, P<0.001) and outpatient services (5.4 vs. 2.5, P<0.001). Mean annual all-cause healthcare costs for patients over 1-year follow-up were € 3847 total (€ 875 drugs, € 2652 hospitalization, € 320 outpatient services), higher than those for the matched controls, of € 711 total (P<0.001) (€ 353 drugs, € 228 hospitalization, € 130 outpatient services). CONCLUSIONS: Patients hospitalized for PN had a higher comorbidity burden at baseline and greater healthcare resource consumption during 1-year follow-up compared to matched controls, with a 5.4-fold increase in all-cause healthcare costs, indicating substantial clinical burden and remaining unmet need in these patients.

Predicting 1-Year Statin Adherence Among Prevalent Users: A Retrospective Cohort Study.

BACKGROUND: Attempts to predict who is at risk of future nonadherence have largely focused on predictions at the time of therapy initiation; however, these users are only a small proportion of all patients on therapy at any point in time. Methods to predict nonadherence for established medication users, which have not been previously described in the literature, would be helpful to guide efforts to enhance the use of evidence-based therapies. OBJECTIVE: To test approaches for adherence prediction among prevalent statin users, namely the use of short-term filling behavior, investigator-specified predictors from medical and pharmacy administrative claims, and the empirical selection of potential predictors using the high-dimensional propensity score variable selection algorithm. METHODS: Medical and prescription claims data from a large national health insurer were used to create a cohort of patients who filled statin medication prescriptions in January 2012. We defined 6 groups of adherence predictors and estimated 10 main models to predict medication adherence in the full cohort. The same was done for the population stratified based on the days supply of the index statin prescription (≤ 30 days vs. > 30 days). RESULTS: The study cohort consisted of 93,777 individuals, 58.4% of which were adherent to statins during follow-up. The use of 3 pre-index adherence predictors alone achieved a c-statistic of 0.70. Investigator-specified and empirically selected pharmacy, medical, and demographic variables did substantially worse (0.57-0.60). The use of 3 indicators of post-index adherence achieved a higher c-statistic than the best-performing model using pre-index information (0.74 vs. 0.72). The addition of 3 pre-index adherence predictors further improved discrimination (0.78). CONCLUSIONS: This analysis demonstrated the ability to predict adherence among medication users using filling behavior before and immediately after an index prescription fill. DISCLOSURES: This work was supported by an unrestricted grant from CVS Health to Brigham and Women's Hospital. Shrank, Brennan, and Matlin were employees and shareholders at CVS Health at the time of this manuscript preparation; they report no financial interests in products or services that are related to the subject of the manuscript. Franklin has received consulting fees from Aetion. Chourdry has received grants from the National Heart, Lung, and Blood Institute, PhRMA Foundation, Merck, Sanofi, AstraZeneca, and MediSafe. Spettell is an employee of, and shareholder in, Aetna. The other authors have nothing to disclose. Krumme, Choudhry, Tong, and Franklin contributed to the study design, interpretation of results, and manuscript drafting. Tong prepared and analyzed the data. Isaman, Spettell, Shrank, Brennan, and Matlin provided interpretation of results and critical manuscript revisions.

Prevalence, effectiveness, and characteristics of pharmacy-based medication synchronization programs.

OBJECTIVES: The burden of visiting pharmacies to fill medications is a central contributor to nonadherence to maintenance medications. Recently, pharmacies have begun offering services that align prescription fill dates to allow patients to pick up all medications on a single visit. We evaluated the prevalence and structure of synchronization programs and evidence of their impact on adherence and clinical outcomes. STUDY DESIGN: Mixed-methods approach consisting of semi-structured interviews, data from surveillance activities, and a systematic literature review. METHODS: We conducted interviews with opinion leaders from nonprofit advocacy organizations and exemplary synchronization programs. Program prevalence was determined using data from regular surveillance efforts. A literature review included Medline, EMBASE, Google Scholar, and general Internet searches. RESULTS: Synchronization programs exist in approximately 10% of independent, 6% of stand-alone chain, and 11% of retail store pharmacies. The majority of programs include a monthly pharmacist appointment and reminder communication. Programs reported the importance of pharmacist buy-in, technology to track and recruit patients, links to other healthcare services, and flexible solutions for managing costs and communication preferences. Although existing peer-reviewed literature suggests that synchronization improves adherence, more evidence is needed to evaluate its impact on patient-centered outcomes. CONCLUSIONS: As medication synchronization programs shift directions and compete for patients and payer resources, it will be more important than ever to rigorously evaluate their ability to improve clinical outcomes while also providing the growing number of patients managing multiple chronic conditions with the highest level of patient engagement and consumer choice.

Can purchasing information be used to predict adherence to cardiovascular medications? An analysis of linked retail pharmacy and insurance claims data.

OBJECTIVE: The use of retail purchasing data may improve adherence prediction over approaches using healthcare insurance claims alone. DESIGN: Retrospective. SETTING AND PARTICIPANTS: A cohort of patients who received prescription medication benefits through CVS Caremark, used a CVS Pharmacy ExtraCare Health Care (ECHC) loyalty card, and initiated a statin medication in 2011. OUTCOME: We evaluated associations between retail purchasing patterns and optimal adherence to statins in the 12 subsequent months. RESULTS: Among 11 010 statin initiators, 43% were optimally adherent at 12 months of follow-up. Greater numbers of store visits per month and dollar amount per visit were positively associated with optimal adherence, as was making a purchase on the same day as filling a prescription (p<0.0001 for all). Models to predict adherence using retail purchase variables had low discriminative ability (C-statistic: 0.563), while models with both clinical and retail purchase variables achieved a C-statistic of 0.617. CONCLUSIONS: While the use of retail purchases may improve the discriminative ability of claims-based approaches, these data alone appear inadequate for adherence prediction, even with the addition of more complex analytical approaches. Nevertheless, associations between retail purchasing behaviours and adherence could inform the development of quality improvement interventions.

Modified Regulatory Pathways to Approve Generic Drugs in the US and a Systematic Review of Their Outcomes.

BACKGROUND: Generic drugs are approved on the basis of pharmaceutical equivalence and bioequivalence. Some drug products have unique structural or functional attributes, necessitating modified approaches to bioequivalence determinations. OBJECTIVE: The aim of this systematic review was to identify studies that evaluated laboratory or clinical outcomes of six drugs approved via modified bioequivalence approaches. DATA SOURCES: We conducted a systematic review of articles published through February 2014 in MEDLINE, EMBASE, and International Pharmaceutical Abstracts related to six recent drugs subject to modified regulatory approaches: venlafaxine extended release tablet (Effexor XR), acarbose (Precose), enoxaparin (Lovenox), vancomycin capsules (Vancocin), sodium ferric gluconate (Ferrlecit), and calcitonin salmon nasal spray (Miacalcin NS). We included all empirical evaluations (whether in vivo or in vitro) and excluded case studies, qualitative analyses, and pharmacoeconomic evaluations. Studies were summarized and evaluated on their methodological quality and assessed for bias using the Cochrane Risk of Bias Assessment Tool. Articles were divided into studies of US FDA-approved generics and non-FDA-approved generics available in non-US locations. DATA EXTRACTION: We extracted drug(s) studied, study design, setting, sample size, population characteristics, study endpoints and results, and source of funding. DATA SYNTHESIS: After retrieving 1408 articles and searching through the full text of 106 articles, we found 26 articles that met our inclusion criteria-8 examining FDA-approved versions and 18 examining non-FDA-approved versions. Among FDA-approved generics, five studies of enoxaparin showed minor variations in biologic activities of unclear clinical importance, and no publications involved acarbose, venlafaxine ER, or vancomycin capsules. Among non-FDA-approved generics, nine studies of enoxaparin supported generic bioequivalence, despite three showing minor variations in drug activity. Four of six studies of venlafaxine ER supported generic bioequivalence, while two found a lack of bioequivalence with a Canadian generic version of the drug. Most studies were either highly susceptible to bias (12/26) or were not able to be assessed for bias (13/26), in part because eight studies were abstracts/posters without full reports. CONCLUSIONS: Pharmaceutical manufacturers sometimes raise scientific concerns related to potential generic versions of their drugs; however, in the six cases we reviewed, these companies did not follow up the pre-approval concerns they raised with any methodologically rigorous post-approval testing using clinical endpoints. Despite their pre-approval controversy, experience with these generic drugs provides reassurance of their clinical interchangeability. Systematized post-approval study of certain generic drug bioequivalence determinations is needed.

Rationale and design of the Randomized Evaluation to Measure Improvements in Non-adherence from Low-Cost Devices (REMIND) trial.

BACKGROUND: Long-term adherence to prescription medications for the treatment of chronic disease remains low. While there are many contributors to suboptimal medication use, simple forgetfulness is widely believed to be central. Relatively simple devices may be a particularly cost-efficient and scalable way to promote adherence, however limited data exists about their ability to improve adherence in real-world settings. METHODS/DESIGN: The REMIND trial is a prospective, intent-to-treat randomized control trial to evaluate the impact on medication adherence of three simple, low-cost devices (Take-N-Slide(™), the RxTimerCap(™), and a standard pillbox). In March 2014, we enrolled 53,480 individuals 18 to 64 years old taking one to three medications to treat chronic disease whose prescription drug benefits were administered by CVS Caremark. The study's primary outcome is optimal adherence over the 12-month period after randomization. Using a randomization ratio of 1:2 between control and each intervention arm, the study has more than 80% power with an alpha of 5% to detect a 1% difference in the rate of optimal adherence between intervention and control groups and across intervention arms. DISCUSSION: The REMIND trial is the first randomized study to rigorously evaluate the impact of simple, low-cost reminder devices on medication adherence. The results will inform comparative cost effectiveness studies of reminder systems in improving medication adherence and clinical outcomes.