Evidence map›Paper›PMID 36370005›Full record

ArticleJournal of the American Heart Association2022

Association Between Copayment and Adherence to Medications for Pulmonary Arterial Hypertension.

Erin M Schikowski, Gretchen Swabe, Stephen Y Chan, Jared W Magnani

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Management of pulmonary hypertension in special conditions.The European respiratory journal · 2024
    Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Erin M SchikowskiDepartment of Medicine University of Pittsburgh Medical Center Pittsburgh PA.ORCID 0000-0002-5819-7796
Gretchen SwabeSchool of Medicine University of Pittsburgh Pittsburgh PA.ORCID 0000-0003-4212-5189
Stephen Y ChanDepartment of Medicine University of Pittsburgh Medical Center Pittsburgh PA.ORCID 0000-0002-9520-7527
Jared W MagnaniDepartment of Medicine University of Pittsburgh Medical Center Pittsburgh PA.ORCID 0000-0002-5075-3604
University of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

Defining the Complex Biology of the miR-130/301 Family in Pulmonary HypertensionR01HL124021 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2014 to 2025
$4.9M
Iron-Sulfur Deficiency as a Critical Pathogenic Cause of Pulmonary HypertensionR01HL122596 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2015 to 2024
$4.5M
Diversity Supplement for geocoding in the parent grant "A Mobile Relational Agent to Enhance Atrial Fibrillation self-care"R33HL144669 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2020 to 2023
$3.8M
Mobile Health intervention for rural atrial fibrillationR01HL143010 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2019 to 2022
$3.0M
Pittsburgh Innovation in Collaborative Training of Residents AllianceR38HL150207 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Charles S Dela Cruz, Corrine R Kliment · 2020 to 2026
$2.1M
Patient-oriented research mentoring in access and adherence to anticoagulation for atrial fibrillationK24HL160527 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jared W. Magnani · 2022 to 2026
$602k
NHLBI NIH HHS K24 HL160527NHLBI NIH HHS R01 HL122596NHLBI NIH HHS R01 HL124021NHLBI NIH HHS R01 HL143010NHLBI NIH HHS R33 HL144669NHLBI NIH HHS R38 HL150207
6 · The paper itself

Abstract

Background Pharmacologic treatment for pulmonary arterial hypertension (PAH) improves exercise capacity, functional class, and hemodynamic indexes. However, monthly prescription costs often exceed $4000. We examined associations between (1) medication copayment and (2) annual household income with adherence to pulmonary vasodilator therapy among individuals with PAH. Methods and Results We used administrative claims data from an insured population in the United States to identify individuals diagnosed with PAH between 2015 and 2020. All individuals had ≥1 medication claim for endothelin receptor antagonists, phosphodiesterase type-5 inhibitors, prostanoids or prostacyclin receptor agonists, or the soluble guanylate cyclase stimulator riociguat. We defined copayments as low, medium, or high, as determined by their distributions for each medication class. Annual household income was categorized as <$40 000, $40 000 to $74 999, and ≥$75 000. The primary outcome was medication adherence, defined by proportion of days covered ≥80%. We studied 4025 adults (aged 65.9±13.3 years; 71.2% women). Compared with those with annual household income ≥$75 000, individuals in the <$40 000 and $40 000 to $74 999 categories had no significant differences in medication adherence. Compared with those with low copayments, individuals with high copayments had decreased adherence to prostanoids (odds ratio [OR], 0.36 [95% CI, 0.20-0.65];

Indexed as

Health ExpendituresMedication AdherencePulmonary Arterial HypertensionAgedEndothelin Receptor AntagonistsFemaleHumansIncomeMaleMiddle AgedPhosphodiesterase 5 InhibitorsProstaglandinsUnited StatesEndothelin Receptor AntagonistsPhosphodiesterase 5 InhibitorsProstaglandinsmedication adherencephosphodiesterase 5 inhibitorspulmonary arterial hypertensionreceptors, epoprostenolriociguatsoluble guanylyl cyclase

Identifiers

PMID36370005
PMCPMC9750087
OpenAlexW4308814059

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.