Evidence map›Paper›PMID 34219017›Full record

ArticleResearch in social & administrative pharmacy : RSAP2022

Determining the prevalence and risk factors for prescription drug unaffordability.

N S Donnenberg, I Hernandez, D P Normolle

Open access · greenAbstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

N S DonnenbergUniv of Pittsburgh, School of Pharmacy, Department of Pharmacy and Therapeutics, Pittsburgh, PA, USA. Electronic address: nsd15@pitt.edu.
I HernandezUniv of California San Diego (UCSD), Skaggs School of Pharmacy, Department of Pharmaceutical Sciences, Division of Clinical Pharmacy, La Jolla, CA, USA.
D P NormolleUniv of Pittsburgh, Graduate School of Public Health, Department of Biostatistics, Pittsburgh, PA, USA.
University of Pittsburgh · USUniversity of Montana · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

backgroundPrescription 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.

methodsWe 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.

resultsAmong 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).

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

Indexed as

Prescription DrugsCosts and Cost AnalysisHumansIncomePrevalenceRisk FactorsUnited StatesPrescription DrugsDrug affordabilityLASSOMachine learningMedication nonadherenceNational health interview surveyPharmacoeconomics

Identifiers

PMID34219017
PMCPMC8714864
OpenAlexW3174585581

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.