Predictors of $4 generic prescription drug discount programs use in the low-income population

Promoting generic drug usage in Japan: correlation between generic drug usage and monthly personal income

BACKGROUND

To reduce pharmacy-related medical expenses, it is necessary to cut drug costs, potentially by increasing generic drug usage. This study analyzes the correlation between generic drug usage and monthly personal income by examining prescriptions for individual drugs.

METHODS

We conducted a cross-sectional study based on the data set from the National Database of Health Insurance Claims and Specific Health Checkups of Japan Open Data Japan and the Basic Survey on Wage Structure. We calculated the correlation coefficient between the usage rate of generic drugs in each prefecture of Japan and monthly personal incomes. We then analyzed the correlation coefficients based on the therapeutic categories of medicinal drugs; the contingency table was visualized as a mosaic plot. To compare the proportions between multiple categories, the chi-squared test was applied as a statistical significance test that was used in the analysis of n × m contingency tables. We worked with the null hypothesis that there were no differences between classes in the population.

RESULTS

Regarding the correlation coefficient between the usage rate of generic drugs and monthly personal incomes, the proportion of negative correlation coefficients for outpatient out-of-hospital and outpatient in-hospital prescriptions was over 70%, while that for inpatient prescriptions was 46.9%. The proportion of medicinal drugs exhibiting a negative correlation between the rates of generic drug usage and monthly personal incomes for outpatient out-of-hospital prescriptions and outpatient in-hospital prescriptions was higher than that of inpatient prescriptions. The proportion of statistically correlated medicinal drugs among inpatient prescriptions was lower than that among outpatient out-of-hospital and outpatient in-hospital prescriptions. The proportions of significant negative correlations for outpatient out-of-hospital, outpatient in-hospital, and inpatient prescriptions were 30.6%, 22.7%, and 3.5%, respectively. It was also observed that the rate of generic prescription usage for outpatient out-of-hospital and in-hospital prescriptions increased as monthly personal incomes decreased. In outpatients, the therapeutic categories with strong negative correlations were vasodilators and hyperlipidemia drugs.

CONCLUSIONS

Our results may help to increase the usage rate of generic drugs in different prefectures by providing useful information for promoting them throughout Japan.

Study of Factors to Increase the Usage Rate of Generic Drugs in Platelet Aggregation Inhibitors

To reduce pharmacy-related medical expenses, it is necessary to reduce drug costs. One way to achieve this is by increasing the usage rate of generic drugs. The purpose of this study was to identify platelet aggregation inhibitors (PAIs) that contribute to high drug costs and are sold as brand-name drugs in order to increase the usage rate of generic drugs, and to analyze the factors that affect the usage rate of generic drug. We conducted a cross-sectional study based on the National Database of Health Insurance Claims and Specific Health Checkups of Japan Open Data Japan (NODJ) of the Ministry of Health, Labor and Welfare and datasets containing related medical information from official statistical surveys such as the Basic Survey on Wage Structure. Monthly personal income in each prefecture were negatively correlated with outpatient out-of-hospital and outpatient in-hospital prescriptions of the PAIs clopidogrel (75 mg), cilostazol (50 mg), cilostazol (100 mg), and ticlopidine (100 mg), but not between monthly personal income and outpatient out-of-hospital prescription of ticlopidine (100 mg). For outpatient out-of-hospital prescriptions and outpatient in-hospital prescriptions, negative correlation was generally observed between the usage rate of generic drug and monthly personal income, except for ticlopidine (100 mg), which has the lowest price among the brand-name drugs. The usage rate of generic PAIs is negatively correlated with monthly personal income. Promoting the use of generic drugs among high-income earners might be necessary to further increase the usage rate of generic drug.

Statewide Price Variation for Generic Benign Prostatic Hyperplasia Medications

OBJECTIVE

To examine the geographic and pharmacy-type variation in costs for generic benign prostatic hyperplasia (BPH) medications in order to improve drug price transparency and reduce health disparities. Medical therapy for BPH can be expensive, having significant implications for uninsured and underinsured patients.

METHODS

We generated a 20% random sample of all pharmacies in Pennsylvania and queried each for the uninsured cash price of a 30-day prescription of tamsulosin 0.4mg daily, finasteride 5mg daily, oxybutynin immediate release 5mg TID and oxybutynin XL 10mg daily. Our primary objectives were to identify price variation based on pharmacy type (i.e., big chain and independent) and between geographic regions (predetermined by the Pennsylvania Health Care Cost Containment Council Database). We fit multivariable quantile regression models to test for an association between drug price and region after controlling for pharmacy type.

RESULTS

Among 575 retail pharmacies contacted, 473 responded (82% response rate). The median cash price was significantly higher for big chain pharmacies than for independent pharmacies for tamsulosin ($66 vs. $15), finasteride ($68 vs. $15), oxybutynin immediate release ($49 vs. $35), and oxybutynin XL ($79 vs. $31) (all p < 0.05). When controlling for region, the median and 75^th percentile price of all drugs was significantly higher for big chain pharmacies. When controlling for pharmacy type, regional variation was noted in all four drugs at the 75^th percentile price and was greater for independent pharmacies.

CONCLUSION

Compared to independent pharmacies, big chain pharmacies charged significantly more for generic BPH medications to uninsured patients. However, independent pharmacies demonstrated more regional variation in their pricing.

Influencers of generic drug utilization: A systematic review

INTRODUCTION

With an increase in prescription drug spending and rising drug costs there is a need to encourage the use of generic prescription drugs. However, maximizing generic drug use is not possible without the public's positive perception and meeting their informational needs about generic drugs. Thus, improving the public's confidence in, and knowledge of generic drugs on the market is critical. The objective of this systematic review is to examine and evaluate the studies focusing on the nature and extent of key factors influencing generic drug use in the United States in order to help guide policy, education and practice interventions.

MATERIALS AND METHODS

Using multiple search engines and key word screening criteria, empirical studies published in English between January 1, 2005 and December 31, 2015 were identified. A qualitative synthesis of the evidence identified domains of key factors that influenced generic drug use across studies.

RESULTS

Over 3000 citations met the key word screening criteria; 67 of these met inclusion criteria for the systematic review. Seven domains of factors that influence generic drug utilization were identified: 1) patient-related factors, 2) formulary management or cost containment, 3) healthcare policies, 4) promotional activities, 5) educational initiatives, 6) technology, and 7) physician-related factors.

CONCLUSION

Patients, physicians, pharmacists, formulary managers, and policymakers play an important role in generic drug use. Understanding the factors influencing generic drug use can help guide future policy, education, and practice interventions to increase generic drug use.

The Association Between Patient Sociodemographic Characteristics and Generic Drug Use: A Systematic Review and Meta-analysis

BACKGROUND

Generic drugs are bioequivalent and cost-effective alternatives to brand drugs. In 2014, $254 billion was saved because of the use of generic drugs in the United States.

OBJECTIVE

To critically assess evidence on the association between patient characteristics and generic drug use in order to inform the development of educational outreach for improving generic drug use among patients.

METHODS

We systematically searched the literature between January 2005 and December 2016 using PubMed, Web of Science, Ovid MEDLINE, Google Scholar, and EBSCO IPA-MEDLINE for potentially relevant studies. The titles and abstracts of identified articles were assessed independently by 2 reviewers. Titles and abstracts that were not written in English, were published before 2005, were not empirical, did not contain sociodemographic data, or were not policy or methodologically relevant to generic drug use were excluded. Data were pooled in a meta-analysis using the RStudio software to assess the association of patient-related factors with generic drug use.

RESULTS

Our searches resulted in 11 articles on patient-level factors, and 6 of these articles had sufficient information to conduct meta-analyses in the domains of patients' gender, age, race/ethnicity, and income. Quantitative analysis indicated that no differences in generic drug use existed between subgroups of patients defined by gender, age, or race/ethnicity. However, patients with lower income (i.e., < 200% federal poverty level [FPL]) were more likely to use generic drugs than those with higher income (≥ 200% FPL; pooled OR = 1.32, 95% CI = 1.15-1.52). Heterogeneity was high (I 2 > 75%) for all analyses but income.

CONCLUSIONS

Patients with lower income were more likely to use generic drugs, whereas evidence was heterogeneous regarding an association between generic drug use and gender, age, or race/ethnicity. Educational outreach targeting patients with higher incomes to understand their perspectives in generic drugs may help improve generic drug use within that population.

DISCLOSURES

Funding for this study was made possible, in part, by the U.S. Food and Drug Administration through grant U01FD005486. Hansen has provided expert testimony for Daiichi Sankyo. No other authors have declared a potential conflict of interest. Views expressed in written materials or publications and by speakers do not necessarily reflect the official policies of the U.S. Department of Health and Human Services, nor does any mention of trade names, commercial practices, or organization imply endorsement by the U.S. government. Study concept and design were contributed by Howard, Harris, Kiptanui, Hansen, and Qian. Frank, Mishuk, Howard, Harris, and Kiptanui collected the data, and data interpretation was performed by Mishuk and Hansen, along with Qian, Harris, and Kiptanui. The manuscript was written and revised primarily by Mishuk, along with Qian and Hansen.

Pharmaceutical assistance programs to support smoking cessation medication access

OBJECTIVES

Rural smokers are more likely to be uninsured and live in poverty, which may pose significant cost barriers to accessing smoking cessation medications. As part of a randomized clinical trial, we provided support to connect low-income smokers with the use of pharmaceutical assistance programs (PAPs) to improve medication access.

METHODS

Study participants were rural smokers enrolled in a randomized clinical trial testing in-office telemedicine versus telephone-based approaches to deliver counseling sessions. For potentially qualified participants, we developed a system to connect them with PAPs that provided smoking cessation medications at low or no cost. Participants reported medication utilization 3 and 6 months after randomization.

RESULTS

Of the 560 study participants, 312 (55.7%) met initial screening criteria for PAP eligibility. Of those eligible, 104 (33.3%) initiated a PAP application, with 49 (15.7%) completing the application and ultimately receiving medications through the programs. Despite the availability of assistance with the PAP application process, overall medication use among those that were eligible for PAP was significantly lower than among participants with higher incomes or access to prescription insurance (60.4% vs. 51.3%; P = 0.04). Abstinence among PAP-eligible smokers was also lower at the 3-month follow-up (P = 0.01), but this difference was not present at the 6- and 12-month follow-up surveys.

CONCLUSION

With substantial assistance, some low-income smokers without prescription insurance can get effective smoking cessation medications through PAPs, but overall access remains worse than among those with higher incomes or prescription insurance.

Adding flexible temporal constraints to identify chronic comorbid conditions in ambulatory claims data

Chronic comorbid conditions are important predictors of primary care outcomes, provide context for clinical decisions, and are potential complications of diseases and treatments. Comorbidity indices and multimorbidity categorization strategies based on administrative claims data enumerate diagnostic codes in easily modifiable lists, but usually have inflexible temporal requirements, such as requiring two claims greater than 30 days apart, or three claims in three quarters. Table structures and claims data search algorithms were developed to support flexible temporal constraints. Tables of disease categories allow subgroups with different numbers of events, different times between similar claims, variable periods of interest, and specified diagnostic code substitutability. The strategy was tested on five years of private insurance claims from 2.2 million working age adults. The contrast between rarely recorded, high prevalence diagnoses (smoking and obesity) and frequently recorded but not necessarily chronic diagnoses (musculoskeletal complaints) demonstrated the advantage of flexible temporal criteria.