ArticleHealth and quality of life outcomes2020
Impact of hospitalisation on health-related quality of life in patients with chronic heart failure.
Article in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- EPOCA Tele-Monitoring System for Older Adults at High Risk of Hospitalization: Budget Impact and Cost-Effectiveness Analysis.Journal of medical Internet research · 2026Article
- Differential Effects of Telehealth on Psychological Outcomes in Heart Failure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Therapeutics and clinical risk management · 2026Review
- Self-reported Clinical Outcomes and Quality of Life in Agammaglobulinemia: the Importance of an Early Diagnosis.Journal of clinical immunology · 2025Article
- Economic Evaluation of the Next Generation Electronic Medical Records in Singapore: Cost-Utility Analysis.Journal of medical Internet research · 2025Article
- Trajectory of health-related quality of life during and after hospitalisation due to worsening of heart failure.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Patient-reported outcome measures in an outpatient parenteral antimicrobial therapy program: a prospective cohort study.BMJ open · 2024Article
- Cost-Utility Analysis of 3-Month Telemedical Intervention for Heart Failure Patients: A Preliminary Study from Poland.Healthcare (Basel, Switzerland) · 2024Article
- Psychological impact of first admission with cardiovascular disease in a tertiary hospital in Oman.Journal of Taibah University Medical Sciences · 2024Article
- Shared decision making with Oncologists and Palliative care specialists (SOP) model help advanced pancreatic cancer patients reaching goal concordant care: A prospective cohort study.Cancer medicine · 2023Article
- Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
- Cost-effectiveness of adding empagliflozin to the standard of care for patients with heart failure with reduced ejection fraction from the perspective of healthcare system in Malaysia.Frontiers in pharmacology · 2023Article
- 'Acute Heart Failure': Should We Abandon the Term Altogether?Current heart failure reports · 2022Review
- BALANCE Dietary Index in Patients with Heart Failure, and Its Adherence in Sergipe, Brazil.Clinics and practice · 2022Article
- Gastric antral vascular ectasia in systemic sclerosis: a study of its epidemiology, disease characteristics and impact on survival.Arthritis research & therapy · 2022Article
- Improving Quality of Life in Heart Failure.Current cardiology reports · 2021Review
- Do remote dialysis services really cost more? An economic analysis of hospital and dialysis modality costs associated with dialysis services in urban, rural and remote settings.BMC health services research · 2021Article
- Effect of multimorbidity patterns on the decline in health-related quality of life: a nationwide prospective cohort study in Japan.BMJ open · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEmpirical identification of the direct impact of hospitalisation in the change in utility could provide an interpretation for some of the unexplained variance in quality of life responses in clinical practice and clinical trials and provide assistance to researchers in assessing the impact of a hospitalisation in the context of economic evaluations. This study had the goal of determining the impact of nonfatal hospitalisations on the quality of life of a cohort of patients previously diagnosed with heart failure by using their quality of life measurements before and after hospitalisation.
methodsThe impact of hospitalisation on health-related quality of life was estimated by calculating the difference in utility measured using the EQ-5D-3L in patients that were hospitalised and had records of utility before and after hospitalisation. The variation in differences between the utilities pre and post hospitalisation was explained through two multiple linear regression models using (1) the individual patient characteristics and (2) the hospitalisation characteristics as explanatory variables.
resultsThe mean difference between health-related quality of life measurement pre and post hospitalisation was found to be 0.020 [95% CI: - 0.020, 0.059] when measured with the EQ-5D index, while there was a mean decrease of - 0.012 [95% CI: - 0.043, 0.020] in the utility measured with the visual analogue scale. Differences in utility variation according to the primary cause for hospitalisation were found. Regression models showed a statistically significant impact of body mass index and serum creatinine in the index utility differences and of serum creatinine for utilities measured with the visual analogue scale.
conclusionsKnowing the impact of hospitalisation on health-related quality of life is particularly relevant for informing cost-effectiveness studies designed to assess health technologies aimed at reducing hospital admissions. Through using patient-level data it was possible to estimate the variation in utilities before and after the average hospitalisation and for hospitalisations due to the most common causes for hospital admission. These estimates for (dis) utility could be used in the calculations of effectiveness on economic evaluations, especially when discrete event simulations are the employed modelling technique.
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