Dataset Information

Determining the prevalence and risk factors for prescription drug unaffordability.

ABSTRACT:

Background

Prescription affordability is a key component of healthcare accessibility and a determinant of health outcomes. Prior studies indicate that up to 1 in 4 Americans report difficulty affording prescriptions.

Objective(s)

This study aims to identify factors associated with cost-based prescription refusal.

Methods

We identified 17,869 study participants from the 2017 National Health Interview Survey who had been prescribed at least one medication in the past 12 months. The outcome was defined as inability to afford at least one prescription medication. Covariates included demographic data, medical history, and social attitudes. Logistic regression models were constructed to identify predictors of cost-based prescription refusal.

Results

Among 8223 study participants, 8.1% reported the inability to afford at least one prescription medication in the past 12 months. Twenty-seven covariates were correlated with prescription unaffordability, and 8 were selected by the LASSO: Income (Odds ratio (OR) 0.55), Concerned About Bills (OR 2.0), Emergency Department Visits past 12 months (OR 1.33), Dissatisfaction with Medical Care (OR 1.3), Seeking Insurance Through the Health Insurance Marketplace (OR 1.26), Feeling Sad Most of the Time (OR 1.24), History of Asthma (OR 1.26) and History of Diabetes (OR 1.24).

Conclusions

Prescription unaffordability remains a significant public health problem and is more common among low-income individuals and patients with, chronic medical conditions.

SUBMITTER: Donnenberg NS

PROVIDER: S-EPMC8714864 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

Determining the prevalence and risk factors for prescription drug unaffordability.

Donnenberg N S NS Hernandez I I Normolle D P DP

Research in social & administrative pharmacy : RSAP 20210629 5

<h4>Background</h4>Prescription affordability is a key component of healthcare accessibility and a determinant of health outcomes. Prior studies indicate that up to 1 in 4 Americans report difficulty affording prescriptions.<h4>Objective(s)</h4>This study aims to identify factors associated with cost-based prescription refusal.<h4>Methods</h4>We identified 17,869 study participants from the 2017 National Health Interview Survey who had been prescribed at least one medication in the past 12 month ...[more]

PMID: 34219017

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Project description:BackgroundIn the United States, mortality from cardiovascular disease has become increasingly common among HIV-infected persons. One-third of HIV-infected persons in care may rely on state-run AIDS Drug Assistance Programs (ADAPs) for cardiovascular disease-related prescription drugs. There is no federal mandate regarding ADAP coverage for non-HIV medications.ObjectiveTo assess the consistency of ADAP coverage for type 2 diabetes, hypertension, hyperlipidemia, and smoking cessation using clinical guidelines as the standard of care.DesignCross-sectional survey of 53 state and territorial ADAP formularies.Main measuresADAPs covering all first-line drugs for a cardiovascular risk factor were categorized as "consistent" with guidelines, while ADAPs covering at least one first-line drug, but not all, for a cardiovascular risk factor, were categorized as "partially consistent". ADAPs without coverage were categorized as "no coverage".Key resultsOf 53 ADAPs, four (7.5%) provided coverage consistent with guidelines (coverage for all first-line drugs) for all four cardiovascular risk factors. Thirteen (24.5%) provided no coverage for all four risk factors. Thirty-six (68%) provided at least partially consistent coverage for at least one surveyed risk factor. State ADAPs provided coverage consistent with guidelines most frequently for type 2 diabetes (28%), followed by hypertension (25%), hyperlipidemia (15%) and smoking cessation (8%). Statins (66%) were most commonly covered and nicotine replacement therapies (9%) least often. Many ADAPs provided no first-line treatment coverage for hypertension (60%), type 2 diabetes (51%), smoking cessation (45%), and hyperlipidemia (32%).ConclusionsConsistency of ADAP coverage with guidelines for the surveyed cardiovascular risk factors varies widely. Given the increasing lifespan of HIV-infected persons and restricted ADAP budgets, we recommend ADAP coverage be consistent with guidelines for cardiovascular risk factors.

Project description:Importance:Nonmedical prescription opioid use is a pressing public health issue in the United States. Transgender youth, including adolescent girls and young women who were assigned male at birth and currently identify as women, female, transgender women, or another diverse gender identity along the transfeminine gender spectrum, are more likely than their cisgender peers to report illicit substance use and meet diagnostic criteria for substance use disorders. However, relatively little is known about the experiences of these populations in the current era of opioid addiction and misuse. Objective:To report the prevalence of and risk factors associated with lifetime nonmedical prescription opioid use in a high-risk community sample of transgender adolescent girls and young women who are sexually active. Design, Setting, and Participants:This cross-sectional study used 2012 to 2015 baseline data from Project LifeSkills, a randomized clinical trial of a behavioral intervention to reduce the risk of HIV acquisition and transmission among a diverse sample of transgender adolescent girls and young women recruited from Boston, Massachusetts, and Chicago, Illinois. A total of 297 transgender girls and women aged 16 to 29 years who were sexually active were included in this analysis. Data were analyzed from June 2019 to August 2019. Exposures:Transgender woman identification. Main Outcomes and Measures:Self-reported lifetime nonmedical prescription opioid use. Results:Among 297 transgender adolescent girls and young women (mean [SD] age, 23.4 [3.5] years), 145 (48.8%) identified as non-Hispanic/Latinx black, 76 (25.6%) identified as non-Hispanic/Latinx white, 37 (12.5%) identified as Hispanic/Latinx, 7 (2.4%) identified as non-Hispanic/Latinx Asian, and 32 (10.8%) identified as multiracial or other race/ethnicity. Thirty-five participants (11.8%) reported lifetime nonmedical prescription opioid use. Young transgender women who smoked cigarettes monthly or less (adjusted odds ratio, 3.92; 95% CI, 1.10-13.89) and who smoked daily (adjusted odds ratio, 5.69; 95% CI, 1.87-17.33) had greater odds of nonmedical prescription opioid use compared with those who did not smoke. Additionally, participants who identified as a sexual orientation other than heterosexual, gay, lesbian, or bisexual had significantly greater odds of lifetime nonmedical prescription opioid use compared with those who identified as heterosexual (adjusted odds ratio, 3.69; 95% CI, 1.07-12.72). Conclusions and Relevance:These findings suggest that transgender adolescent girls and young women have similar prevalence of lifetime nonmedical prescription opioid use compared with the US general population prevalence of 12.5%. These findings may serve as a call-to-action for public health surveillance studies and evidence-based interventions to be comprehensively tailored to examine and respond to specific trends of substance use, particularly opioid use disorder, among transgender populations.

Dataset Information

Determining the prevalence and risk factors for prescription drug unaffordability.

Background

Objective(s)

Methods

Results

Conclusions

Publications

Determining the prevalence and risk factors for prescription drug unaffordability.

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