Patient-Reported Economic Burden and the Health Status of Heart Failure Patients

2006 ◽  
Vol 12 (5) ◽  
pp. 369-374 ◽  
Author(s):  
Mark W. Conard ◽  
Paul Heidenreich ◽  
John S. Rumsfeld ◽  
William S. Weintraub ◽  
John Spertus
EP Europace ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 1360-1368 ◽  
Author(s):  
Henneke Versteeg ◽  
Ivy Timmermans ◽  
Jos Widdershoven ◽  
Geert-Jan Kimman ◽  
Sébastien Prevot ◽  
...  

AbstractAimsThe European REMOTE-CIED study is the first randomized trial primarily designed to evaluate the effect of remote patient monitoring (RPM) on patient-reported outcomes in the first 2 years after implantation of an implantable cardioverter-defibrillator (ICD).Methods and resultsThe sample consisted of 595 European heart failure patients implanted with an ICD compatible with the Boston Scientific LATITUDE® RPM system. Patients were randomized to RPM plus a yearly in-clinic ICD check-up vs. 3–6-month in-clinic check-ups alone. At five points during the 2-year follow-up, patients completed questionnaires including the Kansas City Cardiomyopathy Questionnaire and Florida Patient Acceptance Survey (FPAS) to assess their heart failure-specific health status and ICD acceptance, respectively. Information on clinical status was obtained from patients’ medical records. Linear regression models were used to compare scores between groups over time. Intention-to-treat and per-protocol analyses showed no significant group differences in patients’ health status and ICD acceptance (subscale) scores (all Ps > 0.05). Exploratory subgroup analyses indicated a temporary improvement in device acceptance (FPAS total score) at 6-month follow-up for secondary prophylactic in-clinic patients only (P < 0.001). No other significant subgroup differences were observed.ConclusionLarge clinical trials have indicated that RPM can safely and effectively replace most in-clinic check-ups of ICD patients. The REMOTE-CIED trial results show that patient-reported health status and ICD acceptance do not differ between patients on RPM and patients receiving in-clinic check-ups alone in the first 2 years after ICD implantation.ClinicalTrials.gov Identifier: NCT01691586.


2009 ◽  
Vol 12 (3) ◽  
pp. A157
Author(s):  
S Höfer ◽  
M Frick ◽  
G Pölzl ◽  
W Benzer

2005 ◽  
Vol 11 (5) ◽  
pp. 323-328 ◽  
Author(s):  
Adam C. Salisbury ◽  
John A. House ◽  
Mark W. Conard ◽  
Harlan M. Krumholz ◽  
John A. Spertus

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Andy T Tran ◽  
Paul S Chan ◽  
Phillip G Jones ◽  
John Spertus

Background: A foundation of current clinical trials is to categorize the severity of heart failure (HF) by New York Heart Association (NYHA) classification to ensure that enrolled patients have similar disease severity. Because the NYHA represents a clinician’s assessment of patients’ health status, it may vary from patients’ perspectives and can lead to more or less symptomatic patients being enrolled in clinical trials. We sought to directly compare the ranges of patient-reported health status, as assessed by the well-validated and reliable Kansas City Cardiomyopathy Questionnaire (KCCQ), with NYHA class in recent clinical studies. Methods: We used data from 2 contemporary HF clinical trials, HF-ACTION in patients with Heart Failure with Reduced Ejection Fraction (HFrEF) and TOPCAT in patients with Heart Failure with Preserved Ejection Fraction (HFpEF), and 1 prospective cohort study, the KCCQ Interpretability study (KCCQINT) in patients with HFrEF, where both NYHA and the KCCQ were contemporaneously collected. The distributions of KCCQ Overall Summary (KCCQ-os) scores by NYHA and the variation in assigned NYHA classes among patients with KCCQ scores ≥80 (congruent with NYHA Class I) were then described. Results: A total of 6,072 patients (mean age 64±12 years, 41% female) were included across the 3 studies. Figure 1 shows marked overlap in KCCQ scores across NYHA classes. In KCCQINT, 148 (27%) out of 545 patients reported a KCCQ-os score ≥80, of whom 39 (26%), 81 (55%) and 28 (19%) were coded as NYHA Class I, II and III. None were classified as NYHA Class IV. In HF-ACTION, 677 (32%) of 2129 patients reported a KCCQ-os score ≥80, of whom 548 (81%), 128 (19%) and 1 (<1%) were coded as NYHA Class II, III and IV, respectively. In TOPCAT, 484 (14%) out of 3398 patients reported a KCCQ-os score ≥80, of whom 410 (85%) and 74 (15%) were considered NYHA Class I-II and III-IV, respectively. Conclusions: Although the NYHA is used to identify similarly ill patients for enrollment in clinical trials, there is marked variability within and across studies in patients’ self-reported health status. Future trials should consider patient-reported outcome measures as the basis for defining patient eligibility to enroll a more homogenous cohort of disease severity.


PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0190323 ◽  
Author(s):  
Miha Mlakar ◽  
Paolo Emilio Puddu ◽  
Maja Somrak ◽  
Silvio Bonfiglio ◽  
Mitja Luštrek ◽  
...  

Circulation ◽  
2007 ◽  
Vol 115 (15) ◽  
pp. 1975-1981 ◽  
Author(s):  
Mikhail Kosiborod ◽  
Gabriel E. Soto ◽  
Philip G. Jones ◽  
Harlan M. Krumholz ◽  
William S. Weintraub ◽  
...  

2012 ◽  
Vol 163 (1) ◽  
pp. 88-94.e3 ◽  
Author(s):  
Kathryn E. Flynn ◽  
Li Lin ◽  
Gordon W. Moe ◽  
Jonathan G. Howlett ◽  
Lawrence J. Fine ◽  
...  

10.2196/17714 ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. e17714
Author(s):  
Antonis Billis ◽  
Niki Pandria ◽  
Sophia-Anastasia Mouratoglou ◽  
Evdokimos Konstantinidis ◽  
Panagiotis Bamidis

Background Heart failure is a chronic disease affecting patient morbidity and mortality. Current guidelines for heart failure patient treatment are focused on improving their clinical status, functional capacity, and quality of life. However, these guidelines implement numerous instructions including medical treatment adherence, physical activity, and self-care management. The complexity of the therapeutic instructions makes them difficult to follow especially by older adults. Objective The challenge of this project is to (1) measure real-life adherence to a regular physical exercise program and (2) attempt to influence older adult patients with heart failure toward embracing a more physically active self-care lifestyle. Methods This research consists of two studies, including a lab experiment and a pragmatic evaluation of technology at patients’ homes. The lab experiment aims at exploring in an objective way (measuring neurophysiological responses to stimuli) patient engagement with different characteristics of virtual agents, while the home study is a 3-phase prospective study where the developed technology platform is tested by heart failure patients in their own home environments. Patients undergo evaluation of their physical activity and cognitive status using standard evaluation methods (6-minute walk test, questionnaires) and receive wearable devices to accurately measure everyday life activity levels (home study phases 1-3). During home study phases 2 and 3, exergames (serious games for physical exercise) to provide a physical exercise plan as a joyful activity are delivered to patients’ private households and e-coaching techniques are implemented in the final phase (home study phase 3) of the protocol, to influence patient attitudes toward a more healthy and recommended lifestyle. Results The trial is still ongoing. Recruitment is ongoing, and the project has progressed for some participants through phase 2 of the home study. The sample size for both studies is 28 participants; 10 have already been included in the study, and both baseline clinical and patient-reported outcome data are retrieved. Phases 2 and 3 of the home pilot study are expected to be completed within 6 months. Conclusions The main challenge of the project is the change of attitude of older age heart failure patients through an e-coaching system. Given the adoption of a cocreation and living lab approach and the main objective for real-life evaluation, the project is ready to react to any collected feedback, even during the implementation of the research plan. Clinical assessment and objective evaluation are expected to provide all required information for reliable findings. Trial Registration ClinicalTrials.gov NCT03877328; https://clinicaltrials.gov/ct2/show/NCT03877328 International Registered Report Identifier (IRRID) DERR1-10.2196/17714


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