Evidence map›Paper›PMID 40442676›Full record

ArticleHealth and quality of life outcomes2025

Quality of life post heart failure diagnosis: population-level trends in the U.S.

Maria Alva, Sarahfaye Dolman, Slaven Sikirica, Paul Kolm, Katherine Andrade, Zugui Zhang, William S Weintraub

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Article in Health and quality of life outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maria AlvaDepartment of Health Management and Policy, Georgetown University, Washington, DC, USA. mla72@georgetown.edu.
Sarahfaye DolmanMedStar Health Research Institute, Washington, DC, USA.
Slaven SikiricaLexicon Pharmaceuticals, the Woodlands, TX, 77381, USA.
Paul KolmMedStar Health Research Institute, Washington, DC, USA.
Katherine AndradeOptum Life Sciences, Eden Prairie, MN, 55344, USA.
Zugui ZhangChristiana Care Health System, Newark, Delaware, USA.
William S WeintraubMedStar Health Research Institute, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with heart failure (HF) experience various symptoms making both diagnosis and disease burden estimates challenging. While HF-specific patient-reported outcome measures (PROMs) are widely used, their focus on clinical cohorts limits their generalizability. Preference-based measures like the EQ-5D enable standardized health-related quality of life (HRQoL) comparisons across conditions, supporting resource allocation decisions. The CDC's Healthy Days (HD) Survey-a simple two-question tool that can be mapped to the EQ-5D-offers a broader approach to tracking HRQoL but remains underutilized in HF populations.

methodsUsing a nationally representative U.S. sample, we mapped HD Survey responses to EQ-5D utility scores to compare HRQoL between individuals with and without HF and examined changes in HRQoL over time. We assessed whether HD-derived scores align with HF-specific utility measures to support population-level health monitoring.

resultsIndividuals with HF report significantly more physically unhealthy days (8.46 vs. 3.42) and mentally unhealthy days (5.42 vs. 3.86) compared to those without HF. HF respondents are, on average, 20 years older than those without HF, consistent with HF's prevalence in older adults. The likelihood of an HF diagnosis is similar for men and women but higher among non-Hispanic whites and blacks than Hispanics and other races. Those with HF are more likely to have health insurance. Adjusting for age, sex, race, and insurance, mean EQ-5D utility scores for individuals with and without HF are 0.785 (95% CI: 0.714-0.825) and 0.840 (95% CI: 0.827-0.851), respectively. Utility scores for HF patients remain significantly lower than those without HF up to 10 years post-diagnosis.

conclusionHF reduces HRQoL by 6.55%, surpassing the clinically significant threshold of a 1-2% decrement. These findings highlight the potential of the HD Survey to inform public health monitoring and underscore the need for tailored interventions to address HRQoL deficits in HF populations.

Indexed as

Heart FailureQuality of LifeAdultAgedFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresSurveys and QuestionnairesUnited StatesEQ-5D utility scoresHealth-related quality of life (HRQoL)Healthy days (HD) surveyHeart failure

Identifiers

PMID40442676
PMCPMC12123777

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.