Evidence map›Paper›PMID 28465764›Full record

ArticleAmerican health & drug benefits2017

Sociodemographic Determinants of Out-of-Pocket Expenditures for Patients Using Prescription Drugs for Rheumatoid Arthritis.

Kumar Mukherjee, Khalid M Kamal

Open access · greenAbstract read
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Article in American health & drug benefits, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
14.5field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Kumar MukherjeeAssistant Professor of Pharmacy Practice, College of Pharmacy, Department of Pharmacy Practice, Philadelphia College of Osteopathic Medicine.
Khalid M KamalAssociate Professor, Division of Clinical, Social and Administrative Sciences, Duquesne University Mylan School of Pharmacy, Pittsburgh, PA.
Duquesne University · USPhiladelphia College of Osteopathic Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is a chronic inflammatory disease that has a substantial economic impact on patients. Patients with RA are at an increased risk for disability and for loss of income. The inclusion of biologic drugs in RA therapy has increased the cost of treatment. Little is known about the relationship between sociodemographic characteristics and the out-of-pocket (OOP) expenditures for prescription drugs for patients with RA, including biologics, disease-modifying antirheumatic drugs (DMARDs), nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, and analgesics.

objectivesTo explore the relationship between sociodemographic characteristics, personal characteristics, and OOP expenditures associated with RA prescription medications. A secondary objective was to measure the average OOP expenditures for different therapeutic classes of RA medications, including biologics, DMARDs, NSAIDs, corticosteroids, and analgesics.

methodsIn this retrospective analysis of Medical Expenditure Panel Survey (MEPS) data from 2009 to 2012, we identified a patient sample of 1090 adults with RA, which represented approximately 9.71 million patients in the MEPS database. The total OOP expenditure was calculated based on the OOP expenditure for each prescription drug corresponding to an individual. Patient variables included age, race, sex, insurance status, number of comorbid conditions, region, area of living, annual family income, and marital status. Logistic regression and generalized linear models were used for analysis. The mean OOP expenditure for therapeutic classes was estimated using nonparametric percentiles from 1000 cluster bootstrap estimates.

resultsOverall, the mean annual OOP expenditure was $273.99 (95% confidence interval [CI], $197.07-$364.75). The OOP expenditures were lower for privately insured (0.31; 95% CI, 0.21-0.45) patients and publicly insured (0.18; 95% CI, 0.12-0.27) patients versus uninsured patients, and for poor (0.60; 95% CI, 0.43-0.84) and low-income (0.69; 95% CI, 0.49-0.97) patients versus high-income patients. The mean annual OOP expenditure decreased with age (0.98; 95% CI, 0.97-0.99), was lower (0.73; 95% CI, 0.58-0.92) for male patients than for female patients, and increased with the presence of comorbidities (1.16; 95% CI, 1.07-1.25). The average annual OOP expenditure was highest for biologics ($2556.73), followed by DMARDs ($89.37). The average annual OOP expenditures were $27.97, $52.36, and $72.51 for corticosteroids, NSAIDs, and narcotic analgesics, respectively.

conclusionsAge, sex, race, income level, insurance status, and comorbidity status significantly affected patient OOP expenditure. Higher OOP expenditures among the uninsured, female patients, patients with low income levels, and patients with several comorbidities could adversely affect RA therapy. The use of expensive biologics needs to be monitored to reduce prescription-related cost-sharing among patients with RA.

Indexed as

analgesicsbiologicscomorbiditiescorticosteroidsdisease-modifying antirheumatic drugsgeneralized linear modelincome levelinsurance statusMedical Expenditure Panel Surveynonsteroidal anti-inflammatory drugsout-of-pocket expendituresprescription drugsrheumatoid arthritissociodemographicsuninsured patients

Identifiers

PMID28465764
PMCPMC5394540
OpenAlexW2590842089

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