Measuring health status and symptom burden using a web-based mHealth application in patients with heart failure. (April 2019)

• Record Type: Journal Article
• Authors: Baik, Dawon; Reading, Meghan; Jia, Haomiao; Grossman, Lisa V; Masterson Creber, Ruth
• Is Part Of: European journal of cardiovascular nursing. Volume 18:Number 4(2019)
• Page Start: 325
• Page End: 331
• Publication Date: 2019-04
• Subjects: Heart failure -- mobile health -- symptoms -- social participation -- physical function -- health status; Cardiovascular system -- Diseases -- Nursing -- Periodicals; Cardiovascular Diseases -- nursing -- Periodicals; Cardiology -- Periodicals; Nursing -- Periodicals; Vascular Diseases -- Periodicals; 610.7369105
• DOI: 10.1177/1474515119825704
• Languages: English
• ISSNs: 1474-5151

Abstract

Background: Symptoms of heart failure markedly impair a patient's health status. The aim of this study was to identify predictors of health status in a sample of racially and ethnically diverse patients with heart failure using a web-based mobile health application, mi.Symptoms . Methods: We conducted a cross-sectional study at an urban academic medical center. Patients with heart failure self-reported symptoms using validated symptom instruments (e.g. patient-reported outcome measurement information system) by way of the mobile health application, mi.Symptoms . The primary study outcome was health status, measured with the Kansas City cardiomyopathy questionnaire clinical summary score. Data were analyzed using descriptive statistics and multiple linear regression. Results: The mean age of the sample ( n =168) was 58.7 (±12.5) years, 37% were women, 36% were Black, 36% identified as Hispanic/Latino, 48% were classified as New York Heart Association class III, and 44% reported not having enough income to make ends meet. Predictors of better health status in heart failure included higher physical function ( β =0.89, p =0.001) and ability to participate in social roles and activities ( β =0.58, p =0.002), and predictors of poorer health status were New York Heart Association class IV ( β =−11.68, p =0.006) and dyspnea ( β =−0.77, p <0.001). The predictors accounted for 73% of the variance in health status. Conclusion: Patient-centered interventions should focus on modifiable risk factors that reduce dyspnea, improve functional status, and enhance engagement in social roles to improve the health status of patients with heart failure.