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

Abstract Background Individuals 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-b...

Full description

Saved in:
Bibliographic Details
Main Authors: Maria Alva, Sarahfaye Dolman, Slaven Sikirica, Paul Kolm, Katherine Andrade, Zugui Zhang, William S. Weintraub
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Health and Quality of Life Outcomes
Subjects:
Online Access:https://doi.org/10.1186/s12955-025-02372-0
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849687973931515904
author Maria Alva
Sarahfaye Dolman
Slaven Sikirica
Paul Kolm
Katherine Andrade
Zugui Zhang
William S. Weintraub
author_facet Maria Alva
Sarahfaye Dolman
Slaven Sikirica
Paul Kolm
Katherine Andrade
Zugui Zhang
William S. Weintraub
author_sort Maria Alva
collection DOAJ
description Abstract Background Individuals 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. Methods Using 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. Results Individuals 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. Conclusion HF 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.
format Article
id doaj-art-c830c4c8105d4d38bf51b9dca5f0f9b9
institution DOAJ
issn 1477-7525
language English
publishDate 2025-05-01
publisher BMC
record_format Article
series Health and Quality of Life Outcomes
spelling doaj-art-c830c4c8105d4d38bf51b9dca5f0f9b92025-08-20T03:22:11ZengBMCHealth and Quality of Life Outcomes1477-75252025-05-012311710.1186/s12955-025-02372-0Quality of life post heart failure diagnosis: population-level trends in the U.S.Maria Alva0Sarahfaye Dolman1Slaven Sikirica2Paul Kolm3Katherine Andrade4Zugui Zhang5William S. Weintraub6Department of Health Management and Policy, Georgetown UniversityMedStar Health Research InstituteLexicon PharmaceuticalsMedStar Health Research InstituteOptum Life SciencesChristiana Care Health SystemMedStar Health Research InstituteAbstract Background Individuals 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. Methods Using 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. Results Individuals 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. Conclusion HF 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.https://doi.org/10.1186/s12955-025-02372-0Heart failureHealthy days (HD) surveyEQ-5D utility scoresHealth-related quality of life (HRQoL)
spellingShingle Maria Alva
Sarahfaye Dolman
Slaven Sikirica
Paul Kolm
Katherine Andrade
Zugui Zhang
William S. Weintraub
Quality of life post heart failure diagnosis: population-level trends in the U.S.
Health and Quality of Life Outcomes
Heart failure
Healthy days (HD) survey
EQ-5D utility scores
Health-related quality of life (HRQoL)
title Quality of life post heart failure diagnosis: population-level trends in the U.S.
title_full Quality of life post heart failure diagnosis: population-level trends in the U.S.
title_fullStr Quality of life post heart failure diagnosis: population-level trends in the U.S.
title_full_unstemmed Quality of life post heart failure diagnosis: population-level trends in the U.S.
title_short Quality of life post heart failure diagnosis: population-level trends in the U.S.
title_sort quality of life post heart failure diagnosis population level trends in the u s
topic Heart failure
Healthy days (HD) survey
EQ-5D utility scores
Health-related quality of life (HRQoL)
url https://doi.org/10.1186/s12955-025-02372-0
work_keys_str_mv AT mariaalva qualityoflifepostheartfailurediagnosispopulationleveltrendsintheus
AT sarahfayedolman qualityoflifepostheartfailurediagnosispopulationleveltrendsintheus
AT slavensikirica qualityoflifepostheartfailurediagnosispopulationleveltrendsintheus
AT paulkolm qualityoflifepostheartfailurediagnosispopulationleveltrendsintheus
AT katherineandrade qualityoflifepostheartfailurediagnosispopulationleveltrendsintheus
AT zuguizhang qualityoflifepostheartfailurediagnosispopulationleveltrendsintheus
AT williamsweintraub qualityoflifepostheartfailurediagnosispopulationleveltrendsintheus