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Record W4386271690 · doi:10.1002/ehf2.14468

Pharmaco-Disparities in Heart Failure: A Survey of the Affordability of Guideline Recommended Therapy in 10 Countries

2023· article· en· W4386271690 on OpenAlex
Tauben Averbuch, Meisam Esfahani, Rani Khatib, James Kayima, J. Jaime Miranda, Rishi K. Wadhera, Faı̈ez Zannad, Ambarish Pandey, Harriette G.C. Van Spall

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueESC Heart Failure · 2023
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsHamilton Health SciencesSt. Joseph’s Healthcare HamiltonImpactPopulation Health Research InstituteMcMaster University
Fundersnot available
KeywordsMedicineHeart failureValsartanDigoxinInternal medicineEjection fractionSpironolactoneGuidelineBlood pressure

Abstract

fetched live from OpenAlex

AIMS: Heart failure with reduced ejection fraction (HFrEF) is treatable but guideline-directed medical therapy (GDMT) may not be affordable or accessible to people living with the disease. METHODS AND RESULTS: In this cross-sectional survey, we investigated the price, affordability, and accessibility of four pivotal classes of HFrEF GDMT: angiotensin-converting enzyme inhibitors (ACEi), angiotensin receptor blockers (ARB) or angiotensin-neprilysin inhibitors (ARNI); beta-blockers; mineralocorticoid receptor antagonists (MRA); and sodium glucose co-transporter 2 inhibitors (SGLT2i). We sampled online or community pharmacies in 10 countries across a range of World Bank income groups, assessing mean 30 day retail prescription prices, affordability relative to gross national income per capita per month, and accessibility. We reported median price ratios relative to the International Reference Standard. We performed a literature review to evaluate accessibility to GDMT classes through publicly funded drug programmes in each country. HFrEF GDMT prices, both absolute and relative to the international reference, were highest in the United States and lowest in Pakistan and Bangladesh. The most expensive drug was the ARNI, sacubitril/valsartan, with a mean (standard deviation, SD) 30 day price ranging from $11.06 (0.81) in Pakistan to $611.50 (3.54) in United States. The least expensive drug was the MRA, spironolactone, with a mean (SD) 30 day price ranging from $0.18 (0.00) in Pakistan to $12.32 (0.00) in England. Affordability (SD) of quadruple therapy-ARNI, beta-blockers, MRA, and SGLT2i-was best in high-income and worst in low-income countries, ranging from 1.49 (0.00)% of gross national income per capita per month in England to 232.47 (31.47)% in Uganda. Publicly funded drug programmes offset costs for eligible patients, but ARNI and SGLT2i were inaccessible through these programmes in low- and middle-income countries. Price, affordability, and access were substantially improved in all countries by substituting ARNI for ACEi/ARB. CONCLUSIONS: There was marked variation between countries in the retail price of HFrEF GDMT. Despite higher prices in high-income countries, GDMT was more accessible and affordable than in low- and middle-income countries. Publicly funded drug programmes in lower income countries increased affordability but limited access to newer HFrEF GDMT classes. Pharmaco-disparities must be addressed to improve HFrEF outcomes globally.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.330
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it