Evidence map›Paper›PMID 38621576›Full record

ArticleAmerican heart journal2024

Association between visit frequency, continuity of care, and pharmacy fill adherence in heart failure patients.

Carine E Hamo, Amrita Mukhopadhyay, Xiyue Li, Yaguang Zheng, Ian M Kronish, Rumi Chunara, John Dodson, Samrachana Adhikari, Saul Blecker

Open access · greenAbstract read
In one paragraph

Article in American heart journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 2 institutions in 1 country.

Carine E HamoLeon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY. Electronic address: carine.hamo@nyulangone.org.
Amrita MukhopadhyayLeon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY; New York University Grossman School of Medicine, Department of Population Health, New York, NY.
Xiyue LiNew York University Grossman School of Medicine, Department of Population Health, New York, NY.
Yaguang ZhengNew York University Rory Meyers College of Nursing, New York, NY.
Ian M KronishDepartment of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY.
Rumi ChunaraDepartment of Biostatistics, NYU School of Global Public Health, New York, NY.
John DodsonLeon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY; New York University Grossman School of Medicine, Department of Population Health, New York, NY.
Samrachana AdhikariNew York University Grossman School of Medicine, Department of Population Health, New York, NY.
Saul BleckerNew York University Grossman School of Medicine, Department of Population Health, New York, NY.
New York University · USColumbia University Irving Medical Center · US

Funding

Generalizable prediction of medication adherence in heart failureR01HL155149 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADHIKARI, SAMRACHANA, BLECKER, SAUL B. · 2021 to 2025
$3.9M
NHLBI NIH HHS R01 HL155149
6 · The paper itself

Abstract

backgroundDespite advances in medical therapy for heart failure with reduced ejection fraction (HFrEF), major gaps in medication adherence to guideline-directed medical therapies (GDMT) remain. Greater continuity of care may impact medication adherence and reduced hospitalizations.

methodsWe conducted a cross-sectional study of adults with a diagnosis of HF and EF ≤40% with ≥2 outpatient encounters between January 1, 2017 and January 10, 2021, prescribed ≥1 of the following GDMT: 1) Beta Blocker, 2) Angiotensin Converting Enzyme Inhibitor/Angiotensin Receptor Blocker/Angiotensin Receptor Neprilysin Inhibitor, 3) Mineralocorticoid Receptor Antagonist, 4) Sodium Glucose Cotransporter-2 Inhibitor. Continuity of care was calculated using the Bice-Boxerman Continuity of Care Index (COC) and the Usual Provider of Care (UPC) index, categorized by quantile. The primary outcome was adherence to GDMT, defined as average proportion of days covered ≥80% over 1 year. Secondary outcomes included all-cause and HF hospitalization at 1-year. We performed multivariable logistic regression analyses adjusted for demographics, insurance status, comorbidity index, number of visits and neighborhood SES index.

resultsOverall, 3,971 individuals were included (mean age 72 years (SD 14), 71% male, 66% White race). In adjusted analyses, compared to individuals in the highest COC quartile, individuals in the third COC quartile had higher odds of GDMT adherence (OR 1.26, 95% CI 1.03-1.53, P = .024). UPC tertile was not associated with adherence (all P > .05). Compared to the highest quantiles, the lowest UPC and COC quantiles had higher odds of all-cause (UPC: OR 1.53, 95%CI 1.23-1.91; COC: OR 2.54, 95%CI 1.94-3.34) and HF (UPC: OR 1.81, 95%CI 1.23-2.67; COC: OR 1.77, 95%CI 1.09-2.95) hospitalizations.

conclusionsContinuity of care was not associated with GDMT adherence among patients with HFrEF but lower continuity of care was associated with increased all-cause and HF-hospitalizations.

Indexed as

Continuity of Patient CareDrug MonitoringHeart FailureAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCross-Sectional StudiesFemaleHospitalizationHumansMaleMiddle AgedMineralocorticoid Receptor AntagonistsStroke VolumeAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsMineralocorticoid Receptor Antagonists

Identifiers

PMID38621576
PMCPMC11162924
OpenAlexW4394792884

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.