Developing and Implementing a Mobile Health Heart Failure Self-Care Program to Reduce Readmissions: A Patient-Centered Outcomes Research Randomized Controlled Trial (Preprint)

The Efficacy of Self-care Behaviors, Educational Interventions, and Follow-up Strategies on Hospital Readmission and Mortality Rates in Patients with Heart Failure

Heart failure (HF), a worldwide epidemic with significant morbidity and mortality risks, is frequently secondary to cardiovascular disorders and probably is the common final way to survive patients. Almost 25% of hospitalized patients with acute HF are expected to be readmitted within 30 days post-discharge, and the rates of rehospitalization increase to almost one-third at 60 days and 60 percent within one year of discharge. Although care planning for patients with heart failure is complex, multidisciplinary, and resource-dependent, optimal self-care management along with appropriate educational intervention and follow-up strategy could be able to reduce readmissions, decline the duration of hospitalization, increase life expectancy, decrease the rates of mortality, and reduce costs of healthcare services for patients with HF. However, there are contradictions in previous reports about the efficacy of self-care, mainly due to patients' non-adherence to self-care behaviors. Therefore, the current study aimed to review the investigations on the effectiveness of self-care of HF patients in reducing hospital readmissions and increasing quality of life, and discuss novel approaches for predischarge educational interventions and postdischarge follow-up strategies.

The role of patient-oriented mHealth interventions in improving heart failure outcomes: A systematic review of the literature

Heart failure (HF) is a debilitating disease with 26 million patients worldwide. Consistent and complex self-care is required on the part of patients to adequately adhere to medication and to the lifestyle changes that the disease necessitates. Mobile health (mHealth) is being increasingly incorporated in patient interventions in HF, as smartphones prove to be ideal platforms for patient education and self-help assistance. This systematic review aims to summarize and report on all studies that have tested the effect of mHealth on HF patient outcomes. Our search yielded 17 studies, namely 11 randomized controlled trials and six non-randomized prospective studies. In these, patients with the assistance of an mHealth intervention regularly measured their blood pressure and/or body weight and assessed their symptoms. The outcomes were mostly related to hospitalizations, clinical biomarkers, patients' knowledge about HF, quality of life (QoL) and quality of self-care. QoL consistently increased in patients who received mHealth interventions, while study results on all other outcomes were not as ubiquitously positive. The first mHealth interventions in HF were not universally successful in improving patient outcomes but provided valuable insights for patient-oriented application development. Future trials are expected to build on these insights and deploy applications that measurably assist HF patients.

Self-management in heart failure using mHealth: A content validation

AIM

To describe the development of a mobile health application -mICardiApp- designed by a multidisciplinary professional team and patients with heart failure and to evaluate its content validity.

METHODS

Critical reviews of the literature, semi-structured interviews with patients, and user stories guided the development of the content of the mobile application. These contents were refined and validated through a modified Delphi process. An expert panel of healthcare and social care professionals together with patients and academics evaluated the content through two content validity indicators, relevance, and adequacy, and provided narrative feedback. The content validity of the app and each screen was determined by calculating the Content Validity Index (CVI). Similarly, the Adequacy Index (AI) was analyzed.

RESULTS

The developed app is composed by 8 topics: (1) available resources, (2) cardiac rehabilitation, (3) control of signs and symptoms, (4) emotional support, (5) learning and having fun, (6) medication, (7) nutrition, and (8) physical activity. The results demonstrated high CVI of the screens and the full app. 57 of the 59 screens in the app reached an excellent CVI ≥ 0.70 for both relevance and adequacy, except for 2 screens. The CVI Average Method of the app was 0.851.

CONCLUSIONS

mICardiApp is presented as an application to improve health literacy and self-management of patients with multimorbidity and heart failure, with proven validation.

Effect of e-health intervention on disease management in patients with chronic heart failure: A meta-analysis

Objective

The aim of this meta-analysis was to assess the impact of e-health interventions on disease management in patients with CHF.

Methods

Six databases including Embase, Web of Science, Scopus, PubMed, Cochrane, and EBSCO were searched by computer. The search time is before May 1, 2022. Odds ratios (OR) were used for binary categorical data and weighted mean differences (WMD) for continuous variables. The 95% confidence intervals (CI) were used to express the effect sizes for both count and measurement data. RevMan 5.4 and Stata 16.0 were employed to complete this meta-analysis.

Results

The study included 22 research studies and 5,149 patients. e-health intervention can effectively reduce all-cause mortality [OR = 0.801, 95%CI: (0.650, 0.987), P < 0.05], all-cause hospitalization rate [OR = 0.66, 95%CI: (0.46, 0.95), P < 0.05] and heart failure related hospitalization rate [OR = 0.750, 95%CI: (0.632, 0.891), P < 0.05]. e-health intervention is also effective in improving the quality of life [WMD = 2.97, 95%CI: (1.54, 4.40), P < 0.05] and the self-management ability of patients [WMD = -2.76, 95%CI: (-5.52, -0.11), P < 0.05].

Conclusion

e-health interventions can reduce all-cause mortality, all-cause hospitalization, and heart failure-related hospitalization in patients with CHF. Furthermore, it can improve the health-related quality of life of patients.

Smartphone-based interventions in the secondary prevention of cardiovascular disease: A meta-analysis

BACKGROUND

A variety of reviews have indicated the effectiveness of smartphone-based interventions in preventing secondary cardiovascular disease (CVD). However, few studies have focused on clinical outcomes.

OBJECTIVE

This meta-analysis aimed to evaluate the potential benefits of application interventions and short message service (SMS) interventions on CVD outcomes.

METHODS

Electronic databases were searched to identify randomized controlled trials (RCT) investigating an application or SMS intervention for secondary CVD prevention. Primary outcomes included major adverse cardiovascular events (MACE), cardiovascular death, and cardiac hospitalization. Secondary outcomes were cardiovascular risk factors (BMI, blood pressure, and cholesterol).

RESULTS

A total of 26 RCTs were included, with 16 investigating applications and 10 assessing SMS. Overall, there was no significant difference in MACE, cardiovascular death, and cardiac hospitalization when comparing application interventions with usual care, as well as comparing SMS with usual care. Subgroup analysis revealed that patients who received applications without a medical interface had a significantly lower incidence of MACE (OR = 0.56; 95% CI: 0.33, 0.98). Participants who received applications with a medical interface showed a tendency towards higher rates of cardiac hospitalization (OR = 2.03; 95% CI: 0.85, 4.87). Significant reduction in waist circumference (SMD =-0.80; 95% CI: -1.58, -0.03) was found in application interventions compared to usual care; while significant reductions in SBP (SMD =-0.08; 95% CI: -0.15, -0.01) and TC (SMD =-0.31; 95% CI: -0.57, -0.08) were found in SMS interventions compared to usual care.

CONCLUSION

Smartphone-based interventions, including applications and SMS, have the potential to benefit the secondary prevention of CVD. Applications may reduce the incidence of cardiovascular-related adverse events, while SMS interventions may improve cardiovascular risk factors.

Arterial Stiffness, Subendocardial Impairment, and 30-Day Readmission in Heart Failure Older Patients

Arterial stiffness and subendocardial perfusion impairment may play a significant role in heart failure (HF) outcomes. The aim of the study was to examine the main predictors of 30-day readmission in geriatric patients, hospitalized with HF, explore hemodynamical parameters, arterial stiffness indexes, and subendocardial viability ratio (SEVR). In total, 41 hospitalized patients, affected by HF, were included; they underwent clinical evaluation, routine laboratory testing, and echocardiography. At the time of admission, after the achievement of clinical stability (defined as switching from intravenous to oral diuretic therapy), and at discharge, arterial tonometry was performed to evaluate carotid-femoral pulse wave velocity (PWVcf) and SEVR (then corrected for hemoglobin concentration and oxygen saturation). Through the evaluations, a significant progressive decrease in PWVcf was described (17.79 ± 4.49, 13.54 ± 4.54, and 9.94 ± 3.73 m/s), even after adjustment for age, gender, mean arterial pressure (MAP) variation, and left ventricular ejection fraction (LVEF). A significant improvement was registered for both SEVR (83.48 ± 24.43, 97.94 ± 26.84, and 113.29 ± 38.02) and corrected SEVR (12.74 ± 4.69, 15.71 ± 5.30, and 18.55 ± 6.66) values, and it was still significant when adjusted for age, gender, MAP variation, and LVEF. After discharge, 26.8% of patients were readmitted within 30 days. In a multivariate binary logistic regression analysis, PWVcf at discharge was the only predictor of 30-day readmission (odds ratio [OR] 1.957, 95% CI 1.112–3.443). In conclusion, medical therapy seems to improve arterial stiffness and subendocardial perfusion in geriatric patients hospitalized with heart failure. Furthermore, PWVcf is a valid predictor of 30-day readmission. Its feasibility in clinical practice may provide an instrument to detect patients with HF at high risk of rehospitalization.