Development, psychometric evaluation, and initial feasibility assessment of a symptom tracker for use by patients with heart failure (HFaST).

BACKGROUND: This study aimed to develop and provide a psychometric and feasibility pilot evaluation of the Heart Failure (HF) Symptom Tracker (HFaST), a new patient-reported tool designed to facilitate communication between patients and health care providers (HCPs) in routine clinical care. The HFaST enables patients to identify worsening HF symptoms, with a long-term goal of preventing hospitalizations or emergency room visits. METHODS: The HFaST was developed drawing on evidence from the literature, qualitatively with cognitive interviews (12 patient/caregiver and 8 HCPs), and evaluated quantitatively (psychometric, feasibility assessment). The HFaST was administered for 7 consecutive days to 100 individuals diagnosed with HF during a multisite, non-interventional US pilot study. Health care providers then completed a survey assessing the feasibility and importance of the HFaST in clinical practice. Qualitative development included a literature review and cognitive interviews with patients, caregivers, and HCPs. The psychometric properties of the HFaST were evaluated using classical test theory methods. Descriptive statistics provided insight into HCPs' perceptions of the feasibility of using the HFaST in clinical practice. RESULTS: A preliminary set of 40 items was developed for the symptom tracker and iteratively reduced to 10 items based on the qualitative phase. Test-retest reliability (weighted kappa 0.71-0.97), discriminating validity, and construct validity of the HFaST were acceptable. HCPs rated the HFaST as a good (70%) or excellent (30%) means of tracking HF symptoms. Six HFaST items were ultimately retained, covering concepts of fatigue, shortness of breath (3 items), swelling, and rapid weight gain. CONCLUSIONS: The 6-item HFaST is an easy-to-use tool designed to raise patients' awareness of HF symptoms and facilitate communication with HCPs. Future research should evaluate HFaST implementation in clinical practice and effectiveness as an intervention to potentially prevent hospitalizations and emergency room visits.

EQ-5D Utilities in Chronic Spontaneous/Idiopathic Urticaria.

OBJECTIVES: To obtain utility estimates suitable for use in economic models for chronic spontaneous (idiopathic) urticaria (CSU). METHODS: Patient-level data from three randomized clinical trials-ASTERIA I, ASTERIA II and GLACIAL-were analysed. Health states were derived from the Urticaria Activity Score over 7 days (UAS7); higher scores denote greater activity. The health state score ranges were urticaria free: 0; well-controlled urticaria: 1-6; mild urticaria: 7-15; moderate urticaria: 16-27; and severe urticaria: 28-42. The mean EQ-5D utilities were calculated for each health state. A mixed model was used to predict the EQ-5D according to UAS7 health states in a pooled data set containing all treatment arms and time points from the three trials. Pooled trial data were validated through visual comparisons and interaction terms. Fixed and random effects for trials and patients were included, along with the following covariates: UAS7 health state at baseline (moderate or severe); presence of angioedema at baseline and during follow-up; duration of CSU; number of previous CSU medications; visit; current treatment; and patient age and sex. RESULTS: There was a consistent improvement in EQ-5D utilities as urticaria activity decreased. The mean utilities ranged from 0.710 (severe urticaria) to 0.780 (moderate urticaria), 0.829 (mild urticaria), 0.862 (well-controlled urticaria) and 0.894 (urticaria free). Sensitivity and subgroup analyses confirmed the robustness of the results. CONCLUSION: The results suggest that EQ-5D utility scores increase with decreasing urticaria activity. EQ-5D utility scores enable the health-related quality of life of CSU patients to be compared with that of patients with other diseases.

EQ-5D™-derived utility values for different levels of migraine severity from a UK sample of migraineurs.

BACKGROUND: To estimate utility values for different levels of migraine pain severity from a United Kingdom (UK) sample of migraineurs. METHODS: One hundred and six migraineurs completed the EQ-5D to evaluate their health status for mild, moderate and severe levels of migraine pain severity for a recent migraine attack, and for current health defined as health status within seven days post-migraine attack. Statistical tests were used to evaluate differences in mean utility scores by migraine severity. RESULTS: Utility scores for each health state were significantly different from 1.0 (no problems on any EQ-5D dimension) (p < 0.0001) and one another (p < 0.0001). The lowest mean utility, - 0.20 (95% confidence interval [CI]: -0.27 - -0.13), was for severe migraine pain. The smallest difference in mean utility was between mild and moderate migraine pain (0.13) and the largest difference in mean utility was between current health (without migraine) and severe migraine pain (1.07). CONCLUSIONS: Results indicate that all levels of migraine pain are associated with significantly reduced utility values. As severity worsened, utility decreased and severe migraine pain was considered a health state worse than death. Results can be used in cost-utility models examining the relative economic value of therapeutic strategies for migraine in the UK.