Evidence map›Paper›PMID 34120754›Full record

ArticleMayo Clinic proceedings2021

Cost-Related Nonadherence to Medications Among US Adults With Chronic Liver Diseases.

Carlos Lago-Hernandez, Nghia H Nguyen, Rohan Khera, Rohit Loomba, Sumeet K Asrani, Siddharth Singh

Open access · greenAbstract read
In one paragraph

Article in Mayo Clinic proceedings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

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  13. The Impact of Social Workers in Cirrhosis Care: a Systematic Review.Current treatment options in gastroenterology · 2022
    Review
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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

6 authors at 3 institutions in 1 country.

Carlos Lago-HernandezDivision of Hospital Medicine, Department of Medicine, University of California San Diego, La Jolla, CA.
Nghia H NguyenDivision of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, CA.
Rohan KheraSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT.
Rohit LoombaDivision of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, CA; NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, CA.
Sumeet K AsraniBaylor University Medical Center, Dallas, TX.
Siddharth SinghDivision of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, CA; Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA. Electronic address: sis040@ucsd.edu.
University of California San Diego · USBaylor University Medical Center · USYale New Haven Hospital · US

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Training Grant in GastroenterologyT32DK007202 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 1985 to 2022
$7.7M
Comparative Risks and Benefits of Pharmacological Therapies for Older Patients with Inflammatory Bowel DiseasesK23DK117058 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SINGH, SIDDHARTH · 2018 to 2022
$971k
Predicting Short- and Long-term Risk of Serious Infections in Older Patients with Inflammatory Bowel DiseasesR03DK129631 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SINGH, SIDDHARTH · 2021 to 2022
$203k
NIDDK NIH HHS K23 DK117058NIDDK NIH HHS R03 DK129631NIDDK NIH HHS T32 DK007202NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

objectiveTo estimate the prevalence, risk factors, and consequences of cost-related medication nonadherence (CRN) in individuals with chronic liver diseases (CLDs) in the United States. PATIENTS AND

methodsUsing the National Health Interview Survey from January 1, 2014, to December 31, 2018, we identified individuals with CLDs. Using complex weighted survey analysis, we obtained national estimates and risk factors for CRN and its association with cost-reducing behaviors and measures of financial toxicity. We evaluated the association of CRN with unplanned health care use, adjusting for age, sex, race/ethnicity, insurance, income, education, and comorbid conditions.

resultsOf 3237 respondents (representing 4.6 million) US adults with CLDs, 813 (representing 1.2 million adults, or 25%; 95% CI, 23% to 27%) reported CRN, of whom 68% (n=554/813) reported maladaptive cost-reducing behaviors. Younger age, female sex, low income, and multimorbidity were associated with a higher prevalence of CRN. Compared with patients without CRN, patients experiencing CRN had 5.1 times higher odds of financial hardship from medical bills (adjusted odds ratio [aOR], 5.05; 95% CI, 3.73 to 6.83) and 2.9 times higher odds of food insecurity (aOR, 2.85; 95% CI, 2.02 to 4.01). The CRN was also associated with 1.5 times higher odds of emergency department visits (aOR, 1.46; 95% CI, 1.11 to 1.94).

conclusionWe observed a high prevalence of CRN and associated consequences such as high financial distress, financial hardship from medical bills, food insecurity, engagement in maladaptive cost-reducing strategies, increased health care use, and work absenteeism among patients with CLD. These financial determinants of health have important implications in the context of value-based care.

Indexed as

Drug CostsDrug MonitoringAdolescentAdultAgedAge FactorsChronic DiseaseEmergency Service, HospitalFemaleFood InsecurityHealth SurveysHumansIncomeLiver DiseasesMaleMiddle Aged

Identifiers

PMID34120754
PMCPMC8492496
OpenAlexW3169743942

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.