Health utilities of patients with epilepsy in a Canadian population.

Epilepsia

Department of Community Health Sciences and O'Brien Institute of Public Health, University of Calgary, Calgary, Alberta, Canada.

Published: December 2024

AI Article Synopsis

  • The study aims to explore health state utilities in patients with epilepsy, which are important for assessing quality-adjusted life years and informing clinical decisions.
  • Researchers analyzed data from the Calgary Comprehensive Epilepsy Program, using the EQ-5D-5L scale to measure patient-reported health utilities and identify influencing factors.
  • Findings reveal that lower health utilities are associated with factors like being female, older, unmarried, experiencing depression, and having medication side effects, leading to a resource for estimating health utilities based on these characteristics.*

Article Abstract

Objective: Health state utilities are required to obtain quality adjusted life years, a common metric that informs clinical decision-making at individual, group, and health policy levels. Health state utilities are different from health-related quality of life, and their distribution across patients with epilepsy, as well as the factors that impact them, have not been studied in depth. We aimed to describe the distribution of health state utilities in people with epilepsy and the impact of different combinations of clinical and demographic factors on health state evaluation.

Methods: We performed a retrospective analysis of patients' data prospectively collected in the Calgary Comprehensive Epilepsy Program registry. Patient-reported health state utilities were measured using the 5-level EuroQol 5-Dimension scale (EQ-5D-5L) completed at their initial assessment. EQ-5D-5L index scores were derived via the time trade-off approach based on Canadian norms, and their distribution across different health states and patient characteristics was obtained. The Tobit regression model was used to evaluate the determinants of EQ-5D-5L index scores.

Results: Of 1446 patients included in this analysis, 724 (50.5%) were female. The median (interquartile range) Canada-normed EQ-5D-5L index score was .87 (.71-.91). Patients with significantly lower health utilities were more likely to be female (p = .008), to be older (p = .034), to be unmarried (p = .013), to have failed to achieve 1-year seizure freedom (p < .001), to have no postsecondary education (p = .028), to be depressed (p < .001), to have antiseizure medication side effects (p = .001), to be unemployed (p < .001), and to be unable to drive (p < .001). A look-up table of health utilities based on combinations of clinical-demographic characteristics was produced.

Significance: Health utility estimates for combinations of different health states in people with epilepsy attending specialty clinics are now available. These can help guide clinical decision-making in routine clinical practice, economic evaluations of treatment interventions, and health care policies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11647436PMC
http://dx.doi.org/10.1111/epi.18132DOI Listing

Publication Analysis

Top Keywords

health state
20
state utilities
16
health
9
health utilities
8
patients epilepsy
8
distribution health
8
state
5
utilities
5
patients
4
utilities patients
4

Similar Publications

Over 2005-2019, the number of neonatal intensive care units (NICUs) grew by 10%, and the number of NICU beds increased by 30%. This expansion in intensive care has raised concerns over unwarranted intensive care admissions. In this study, we examine whether the greater supply of NICUs causally raises admission rates.

View Article and Find Full Text PDF

Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.

Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.

View Article and Find Full Text PDF

Tumour-infiltrating Lymphocytes and Radiation Therapy in Rectal Cancer: Systematic Review and Meta-analysis.

Clin Oncol (R Coll Radiol)

December 2024

Faculty of Medicine and Health Sciences, University of Antwerp, Prinsstraat 13, 2000, Antwerp, Belgium; Department of Radiation Oncology, Iridium Netwerk, Oosterveldlaan 22, 2610, Antwerp, Belgium. Electronic address:

Aim: Tumour-infiltrating lymphocytes (TILs) represent a promising cancer biomarker. Different TILs, including CD8+, CD4+, CD3+, and FOXP3+, have been associated with clinical outcomes. However, data are lacking regarding the value of TILs for patients receiving radiation therapy (RT).

View Article and Find Full Text PDF

Inflammatory bowel disease is a chronic inflammatory condition predominantly affecting the intestines, encompassing both ulcerative colitis and Crohn disease (CD). As one of the most common gastrointestinal disorders, CD's pathogenesis is closely linked with the intestinal microbiota. Recently, fecal microbiota transplantation (FMT) has gained attention as a potential treatment for CD, with the effective reestablishment of intestinal microecology considered a crucial mechanism of FMT therapy.

View Article and Find Full Text PDF

Objective: Smartphones and wearable devices can be effective tools to objectively assess patient mobility and well-being before and after spine surgery. In this retrospective observational study, the authors investigated the relationship between these longitudinal perioperative patient activity data and socioeconomic and demographic correlates, assessing whether smartphone-captured metrics may allow neurosurgeons to distinguish intergroup patterns.

Methods: A multi-institutional retrospective study of patients who underwent spinal decompression with and without fusion between 2017 and 2021 was conducted.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!