Self-care Management Intervention in Heart Failure (SMART-HF): A Multicenter Randomized Controlled Trial

Comparative effectiveness of ehealth self-management interventions for patients with heart failure: A Bayesian network meta-analysis

OBJECTIVE

This study evaluated the effectiveness of electronic self-management support interventions in reducing all-cause mortality, cardiovascular mortality, readmission rates, and HF-related readmission in heart failure patients.

METHODS

Following the PRISMA-P guidelines and PRISMS taxonomy, we searched Pubmed, Cochrane Library, and Embase for RCTs and trials of electronic health technologies for heart failure interventions. Develop support programs in advance for education, monitoring, reminders, or a combination of these to screen and categorize studies. The Cochrane ROB2 tool was used to assess the risk of bias.

RESULTS

The monitoring interventions may improve all-cause mortality (OR 0.77, 95% CI 0.63 to 0.93) and cardiovascular mortality (OR 0.75, 95% CI 0.61 to 0.93) compared to usual care. Reminder interventions were associated with significantly reducing readmission rates (OR 0.07, 95% CI 0.00 to 0.94). Mixed interventions were most effective in reducing HF-related readmission rates (OR 0.75, 95% CI 0.56 to 0.99).

CONCLUSION

Electronic self-management interventions, particularly monitoring and reminders, can potentially improve outcomes of heart failure patients, including reducing all-cause mortality, cardiovascular mortality, and readmission rates.

PRACTICE IMPLICATIONS

The eHealth model and the combination of self-management are significant for long-term intervention in patients with HF to improve their quality of life and prognosis.

Effectiveness of a Smartphone App-Based Intervention With Bluetooth-Connected Monitoring Devices and a Feedback System in Heart Failure (SMART-HF Trial): Randomized Controlled Trial

BACKGROUND

Current heart failure (HF) guidelines recommend a multidisciplinary approach, discharge education, and self-management for HF. However, the recommendations are challenging to implement in real-world clinical settings.

OBJECTIVE

We developed a mobile health (mHealth) platform for HF self-care to evaluate whether a smartphone app-based intervention with Bluetooth-connected monitoring devices and a feedback system can help improve HF symptoms.

METHODS

In this prospective, randomized, multicenter study, we enrolled patients 20 years of age and older, hospitalized for acute HF, and who could use a smartphone from 7 tertiary hospitals in South Korea. In the intervention group (n=39), the apps were automatically paired with Bluetooth-connected monitoring devices. The patients could enter information on vital signs, HF symptoms, diet, medications, and exercise regimen into the app daily and receive feedback or alerts on their input. In the control group (n=38), patients could only enter their blood pressure, heart rate, and weight using conventional, non-Bluetooth devices and could not receive any feedback or alerts from the app. The primary end point was the change in dyspnea symptom scores from baseline to 4 weeks, assessed using a questionnaire.

RESULTS

At 4 weeks, the change in dyspnea symptom score from baseline was significantly greater in the intervention group than in the control group (mean -1.3, SD 2.1 vs mean -0.3, SD 2.3; P=.048). A significant reduction was found in body water composition from baseline to the final measurement in the intervention group (baseline level mean 7.4, SD 2.5 vs final level mean 6.6, SD 2.5; P=.003). App adherence, which was assessed based on log-in or the percentage of days when symptoms were first observed, was higher in the intervention group than in the control group. Composite end points, including death, rehospitalization, and urgent HF visits, were not significantly different between the 2 groups.

CONCLUSIONS

The mobile-based health platform with Bluetooth-connected monitoring devices and a feedback system demonstrated improvement in dyspnea symptoms in patients with HF. This study provides evidence and rationale for implementing mobile app-based self-care strategies and feedback for patients with HF.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05668000; https://clinicaltrials.gov/study/NCT05668000.

Care models for patients with heart failure at home: A systematic review

AIMS

The aim of this study is to evaluate the relative merits of various heart failure models of care with regard to a variety of outcomes.

DESIGN

Systematic review.

DATA SOURCES

Five databases including PubMed, Web of Science, Medline, Embase and Science Direct were searched from the inception date of databases to August 20, 2022.

REVIEW METHODS

This review used the Cochrane Collaboration's 'Risk of Bias' tool to assess quality. Only randomised controlled trails were included in this review that assessed all care models in the management of adults with heart failure. A categorical summary of the pattern of the papers was found, followed by extraction of outcome indicators.

RESULTS

Twenty articles (19 studies) were included. Seven examined nurse-led care, two examined multidisciplinary specialist care, nine (10 articles) examined patient self-management, and one examined nurse and physiotherapist co-led care. Regarding outcomes, this review examined how well the four models performed with regard to quality of life, health services use, HF self-care, and anxiety and depression for heart failure patients. The model of patient self-management showed more beneficial results than nurse-led care, multidisciplinary specialist care, and nurse and physiotherapist co-led care in reducing hospital days, improving symptoms, promoting self-care behaviours of HF patients, enhancing the quality of life, and strengthening self-care ability.

CONCLUSIONS

This systematic review synthesises the different care models and their relative effectiveness. Four different models of care were summarised. Of these models, the self-management model demonstrated better outcomes.

IMPACT

The self-management model is more effective in increasing self-management behaviours and self-management abilities, lowering the risk of hospitalisation and death, improving quality of life, and relieving anxiety and depression than other models.

NO PATIENT OR PUBLIC CONTRIBUTION

There was no funding to remunerate a patient/member of the public for this review.

Community-embedded follow-up management intervention for geriatric primary care: a mixed-methods study of an integrated health services model

BACKGROUND

To propose a community-embedded follow-up management model to provide health services for elderly patients with osteoporosis who live alone.

METHODS

Researchers randomly selected 396 people with osteoporosis living alone from five communities in Nantong, China, for the study. These participants were randomly assigned to control and intervention groups. Twenty-four community physicians in five communities provided professional support based on a community-embedded follow-up management model. Participants completed quantitative questionnaires at baseline and after the 6-month follow-up intervention, and some participants underwent semi-structured face-to-face interviews. The primary outcome is the effectiveness of the community-embedded follow-up management model in improving the quality of life of elderly patients with osteoporosis living alone. Based on an objective quantitative assessment, the qualitative study explains and adds essential components of this community-based follow-up management model.

RESULTS

The quantitative study showed that scores in physical functioning, ability to perform daily activities, self-efficacy, and mental status were significantly improved in the intervention group compared to the control group (p < 0.05). The most significant improvements were found in "mental status" (p = 0.012) and "self-care skills" (p = 0.003). The qualitative study reported the essential elements of a community healthcare model for older people living alone with osteoporosis, including professional support, personalized services, social support, and empowerment.

CONCLUSIONS

Community-embedded follow-up management meets the need for elderly patients with osteoporosis living alone. It helps to improve health perception, promote physical and mental health, and optimize the quality of life in this population. Personalized services and professional support are two major contributing factors to effective embedded follow-up management in the community.

Role of Telemedicine Intervention in the Treatment of Patients with Chronic Heart Failure: A Systematic Review and Meta-analysis

OBJECTIVE

Although telemedicine interventional therapy is an innovative method to reduce public medical burden and improve heart failure, its effectiveness is still controversial. This meta-analysis evaluates the role of telemedicine interventional therapy in the treatment of patients with chronic heart failure.

METHODS

Relevant literature on telemedicine in chronic heart failure treatment was screened and extracted based on predefined criteria. Quality assessment used Cochrane Handbook 5.1.0 tool, and meta-analysis was conducted using R 4.2.2 software.

RESULTS

Fifteen English-language articles were ultimately included in this meta-analysis. The risk bias evaluation determined that 4 articles were low-risk bias and 11 articles were unclear risk bias. The meta-analysis revealed that, compared to the routine intervention group, the all-cause hospitalization rate of patients in the telemedicine intervention group decreased [OR = 0.63, 95% CI (0.41; 0.96), P =.03], and the hospitalization rate of heart failure also decreased [OR = 0.70, 95% CI (0.48; 0.85), P <.01]. However, there were no differences in mortality [OR = 0.64, 95% CI (0.41; 1.01), P =.05], length of hospitalization [MD = -0.42, 95% CI (-1.22; 0.38), P =.31], number of emergency hospitalizations [MD = -0.09, 95% CI (-0.33; 0.15), P =.45], medication compliance [OR = 1.67, 95% CI (0.92; 3.02), P =.09], or MLHFQ scores [MD = -2.30, 95% CI (-6.16; 1.56), P =.24] among the patients.

CONCLUSION

This meta-analysis showed that telemedicine reduced overall and heart failure-related hospitalizations in chronic heart failure patients, suggesting its value in clinical management. However, it did not significantly affect mortality, hospital stay length, emergency visits, medication adherence, or quality of life. This suggests the need to optimize specific aspects of telemedicine, identify key components, and develop strategies for better treatment outcomes.

The long-term effect of an m-health tool on self-care in patients with heart failure: a pre-post interventional study with a mixed-method analysis

AIMS

The aims of this study were (i) to evaluate the effects of using an m-health tool on self-care behaviour at 3 and 12 months and (ii) to explore the experiences and perceptions of heart failure (HF) patients about the m-health tool.

METHODS AND RESULTS

In this pre-post interventional study with a mixed-method analysis, 71 patients diagnosed with HF [49% female, mean age 76.7 years, New York Heart Association (NYHA) II 31%, NYHA III 69%] were enrolled and had the m-health tool installed in their home for 1 year. The tool consisted of a pre-programmed tablet including a weighing scale and interactive education about HF self-care. At baseline, and at 3 and 12 months, self-care was assessed using the European Heart Failure Self-care Behaviour (EHFScB-9) Scale, an eight-item self-administered questionnaire assessing the experiences of the m-health tool. The mean EHFScB-9 at baseline was 63.8 ± 2.8 and it improved to 67.6 ± 7.6 after 3 months (P < 0.05). After 1 year, the score had decreased to 63.2 ± 7.1 (P = 0.68). Most patients rated the tool as 'good', both at 3 months (92%) and after 12 months (93%). Some found the system to be unnecessary to some degree, and this number increased between 3 and 12 months (P < 0.001). Most patients felt that m-health increased their feelings of security, and 85% responded that the system increased their family members' sense of security.

CONCLUSION

The m-health tool significantly improved patients' self-care behaviour after 3 months, but this effect did not persist after 1 year. For achieving long-term effects and outcomes, additional and regularly updated self-care support may be needed.

REGISTRATION

ClinicalTrials.gov: NCT04955600.

[Education interventions in heart failure using m-Health: Systematic review]

OBJECTIVE

To provide the best scientific evidence available on the effectiveness of therapeutic education programs through digital health in patients with heart failure.

DESIGN

Systematic review of randomized clinical trials.

DATA SOURCES

Six databases were included due to their relevance in Health Sciences: PubMed, EMBASE, Scielo, Cochrane, CINAHL, and Web of Science.

SELECTION OF STUDIES

In English and Spanish, studies carried out between 2018 and 2023 were selected. After evaluating the methodological quality of the studies, the Jadad tool was used to discriminate those that did not meet said quality. In total, 8 articles from 6 different countries were included.

DATA EXTRACTION

The review and analysis of the documents were carried out by independent pairs. The Cochrane tool for RoB 2 randomized clinical trials was used to assess the risk of bias.

RESULTS

All the applications had therapeutic education, it was also assessed that they had monitoring, evaluation of signs and symptoms, drug titration, and professional follow-up through the application.

CONCLUSION

This review reveals the significant impact of therapeutic education in increasing patient knowledge, reducing hospital readmissions, and improving functional status and self-care. This makes digital health a valuable tool to complement nursing care in patients with heart failure.

Effects of an autonomy-supportive intervention programme (ASIP) on self-care, quality of life, and mental health in heart failure patients: a randomized controlled trial

PURPOSE

Patients with heart failure (HF) possess low self-care activation and motivation, leading to a deprived quality of life and adverse mental health conditions. To this end, self-determination theory emphasizes that autonomy-supportive interventions (ASI) can stimulate intrinsic motivation and improve behaviors and quality of life. Nevertheless, studies that focused on ASI for HF are inadequate. This study aims to evaluate the effects of an HF-ASIP on self-care, quality of life and mental health in HF patients.

METHODS

In a two-arm randomized controlled trial, the participants are randomly allocated to the intervention (n = 41) or control (n = 41) groups. The intervention group received routine care and participated in an 8-week HF-ASIP, including individual education and consultation sessions. In contrast, the control group received only routine care. The primary outcome includes self-care management, while the secondary outcomes include self-care maintenance, quality of life, mental health, and motivation. After measuring the outcomes at baseline (T0), 4-week (T1), 8-week (T2), and 12-week (T3) follow-up, the intervention effects are assessed using the generalized equation models.

RESULTS

The outcomes indicated that self-care management (T2: P = 0.001; T3: P = 0.016), self-care maintenance (T2: P = 0.003; T3: P = 0.001), depression (T2: P = 0.007; T3: P = 0.012), anxiety (T2: P = 0.001; T3: P = 0.012), MLHFQ total score (T1: P = 0.004; T2: P < 0.001; T3: P = 0.001), autonomous motivation (T2: P = .0.006; T3: P = 0.002) showed statistically difference between the groups.

CONCLUSION

In summary, the 8-week HF-ASIP significantly improved the attributes of self-care, quality of life, mental health, and motivation in HF patients, suggesting the potential for practical intervention effect.

TRIAL REGISTRATION

ChiCTR2100053970.

Outcomes of a tailored self-care intervention for patients with heart failure and major depression: A secondary analysis of a randomized controlled trial

BACKGROUND

Depression is a recognized barrier to heart failure self-care, but there has been little research on interventions to improve heart failure self-care in depressed patients.

OBJECTIVES

To investigate the outcomes of an individually tailored self-care intervention for patients with heart failure and major depression, and to determine whether the adequacy of self-care at baseline, the severity of depression or anxiety, or other factors affect the outcomes of this intervention.

DESIGN

Secondary analysis of data from a pre-registered randomized controlled trial (NCT02997865).

METHODS

Outpatients with heart failure and comorbid major depression (n = 139) were randomly assigned to cognitive behavior therapy or usual care for depression. In addition, an experienced cardiac nurse provided the tailored self-care intervention to all patients in both arms of the trial starting eight weeks after randomization. Weekly self-care intervention sessions were held between Weeks 8 and 16; the frequency was tapered to biweekly or monthly between Weeks 17 and 32. The Self-Care of Heart Failure Index (v6.2) was used to assess self-care outcomes, with scores ≥70 on each of its three scales (Maintenance, Management, and Confidence) being consistent with adequate self-care. The Week 16 Maintenance scale score was the primary outcome for this analysis.

RESULTS

At baseline, 107 (77%) of the patients scored in the inadequate self-care range on the Maintenance scale. Between Weeks 8 and 16, Maintenance scores improved more in patients with initially inadequate than initially adequate self-care (11.9 vs. 3.2 points, p = .003). Sixty-six (48%) of the patients with initially inadequate Maintenance scores achieved scores in the adequate range by Week 32 (p < .0001). Covariate-adjusted predictors of better Maintenance outcomes included adequate Maintenance at baseline (p < .0001), higher anxiety at baseline (p < .05), and higher dosages of the self-care intervention (p < .0001). Neither treatment with cognitive behavior therapy nor less severe major depression predicted better self-care outcomes.

CONCLUSIONS

Depressed patients with inadequate heart failure self-care are able to achieve clinically significant improvements in self-care with the help of an individually tailored self-care intervention. Further refinement and testing are needed to increase the intervention's potential for clinical implementation.

A Nurse-Led Model of Care with Telemonitoring to Manage Patients with Heart Failure in Primary Health Care: A Mixed-Method Feasibility Study

Purpose

To determine whether a nurse-led care model with telemonitoring in primary care for patients with stable heart failure and their caregivers is feasible and acceptable.

Patients and Methods

A mixed-methods feasibility study was conducted. Patients with stable heart failure and their caregivers were consecutively enrolled from March 2021 to April 2022. Participants were managed by nurses in a community health center through education and monitoring with a mobile app. The outcomes were feasibility outcomes, self-care outcomes, and qualitative acceptability and satisfaction. Quantitative and qualitative outcomes were linked to understanding how the model of care might benefit patients.

Results

Twenty-six patients and nine of their caregivers were enrolled. Ten participants used the mobile app. Nineteen patients and eight caregivers were interviewed. Participants who improved their self-care appreciated the help in finding coping strategies, being close to the clinic, and feeling cared for. Participants with fewer improvements in self-care perceived the model of care as useless and were far from the centre. Participants decided to use the app mainly for usefulness prevision, and most of them were satisfied.

Conclusion

The model of care was not successful in recruiting patients, and adjustments are needed to improve the recruitment strategy and to engage people who perceive the model of care as not useful or unable to use the app.

Knowledge about self-efficacy and outcomes in patients with heart failure and reduced ejection fraction

AIM

Although education in self-management is thought to be an important aspect of the care of patients with heart failure, little is known about whether self-rated knowledge of self-management is associated with outcomes. The aim of this study was to assess the relationship between patient-reported knowledge of self-management and clinical outcomes in patients with heart failure and reduced ejection fraction (HFrEF).

METHODS AND RESULTS

Using individual patient data from three recent clinical trials enrolling participants with HFrEF, we examined patient characteristics and clinical outcomes according to responses to the 'self-efficacy' questions of the Kansas City Cardiomyopathy Questionnaire. One question quantifies patients' understanding of how to prevent heart failure exacerbations ('prevention' question) and the other how to manage complications when they arise ('response' question). Self-reported answers from patients were pragmatically divided into: poor (do not understand at all, do not understand very well, somewhat understand), fair (mostly understand), and good (completely understand). Cox-proportional hazard models were used to evaluate time-to-first occurrence of each endpoint, and negative binomial regression analysis was performed to compare the composite of total (first and repeat) heart failure hospitalizations and cardiovascular death across the above-defined groups. Of patients (n = 17 629) completing the 'prevention' question, 4197 (23.8%), 6897 (39.1%), and 6535 (37.1%) patients had poor, fair, and good self-rated knowledge, respectively. Of those completing the 'response' question (n = 17 637), 4033 (22.9%), 5463 (31.0%), and 8141 (46.2%) patients had poor, fair, and good self-rated knowledge, respectively. For both questions, patients with 'poor' knowledge were older, more often female, and had a worse heart failure profile but similar treatment. The rates (95% confidence interval) per 100 person-years for the primary composite outcome for 'poor', 'moderate' and 'good' self-rated knowledge in answer to the 'prevention' question were 12.83 (12.11-13.60), 12.08 (11.53-12.65) and 11.55 (11.00-12.12), respectively, and for the 'response' question were 12.88 (12.13-13.67), 12.22 (11.60-12.86) and 11.56 (11.07-12.07), respectively. The lower event rates in patients with 'good' self-rate knowledge were accounted for by lower rates of cardiovascular (and all-cause) death and not hospitalization for worsening heart failure.

CONCLUSIONS

Poor patient-reported 'self-efficacy' may be associated with higher rates of mortality. Evaluation of knowledge of 'self-efficacy' may provide prognostic information and a guide to which patients may benefit from further education about self-management.

Treatment of depression and inadequate self-care in patients with heart failure: One-year outcomes of a randomized controlled trial

OBJECTIVE

Both depression and inadequate self-care are common in patients with heart failure. This secondary analysis examines the one-year outcomes of a randomized controlled trial of a sequential approach to treating these problems.

METHODS

Patients with heart failure and major depression were randomly assigned to usual care (n = 70) or to cognitive behavior therapy (n = 69). All patients received a heart failure self-care intervention starting 8 weeks after randomization. Patient-reported outcomes were assessed at Weeks 8, 16, 32, and 52. Data on hospital admissions and deaths were also obtained.

RESULTS

One year after randomization, Beck Depression Inventory (BDI-II) scores were - 4.9 (95% C.I., -8.9 to -0.9; p < .05) points lower in the cognitive therapy than the usual care arm, and Kansas City Cardiomyopathy scores were 8.3 (95% C.I., 1.9 to 14.7; p < .05) points higher. There were no differences on the Self-Care of Heart Failure Index or in hospitalizations or deaths.

CONCLUSIONS

The superiority of cognitive behavior therapy relative to usual care for major depression in patients with heart failure persisted for at least one year. Cognitive behavior therapy did not increase patients' ability to benefit from a heart failure self-care intervention, but it did improve HF-related quality of life during the follow-up period.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT02997865.

Digital Transformation in the Diagnostics and Therapy of Cardiovascular Diseases: Comprehensive Literature Review

BACKGROUND

The digital transformation of our health care system has experienced a clear shift in the last few years due to political, medical, and technical innovations and reorganization. In particular, the cardiovascular field has undergone a significant change, with new broad perspectives in terms of optimized treatment strategies for patients nowadays.

OBJECTIVE

After a short historical introduction, this comprehensive literature review aimed to provide a detailed overview of the scientific evidence regarding digitalization in the diagnostics and therapy of cardiovascular diseases (CVDs).

METHODS

We performed an extensive literature search of the PubMed database and included all related articles that were published as of March 2022. Of the 3021 studies identified, 1639 (54.25%) studies were selected for a structured analysis and presentation (original articles: n=1273, 77.67%; reviews or comments: n=366, 22.33%). In addition to studies on CVDs in general, 829 studies could be assigned to a specific CVD with a diagnostic and therapeutic approach. For data presentation, all 829 publications were grouped into 6 categories of CVDs.

RESULTS

Evidence-based innovations in the cardiovascular field cover a wide medical spectrum, starting from the diagnosis of congenital heart diseases or arrhythmias and overoptimized workflows in the emergency care setting of acute myocardial infarction to telemedical care for patients having chronic diseases such as heart failure, coronary artery disease, or hypertension. The use of smartphones and wearables as well as the integration of artificial intelligence provides important tools for location-independent medical care and the prevention of adverse events.

CONCLUSIONS

Digital transformation has opened up multiple new perspectives in the cardiovascular field, with rapidly expanding scientific evidence. Beyond important improvements in terms of patient care, these innovations are also capable of reducing costs for our health care system. In the next few years, digital transformation will continue to revolutionize the field of cardiovascular medicine and broaden our medical and scientific horizons.

The AppCare-HF randomized clinical trial: a feasibility study of a novel self-care support mobile app for individuals with chronic heart failure

Aims

We evaluated a self-care intervention with a novel mobile application (app) in chronic heart failure (HF) patients. To facilitate patient-centred care in HF management, we developed a self-care support mobile app to boost HF patients' optimal self-care.

Methods and results

We conducted a multicentre, randomized, controlled study evaluating the feasibility of the self-care support mobile app designed for use by HF patients. The app consists of a self-monitoring assistant, education, and automated alerts of possible worsening HF. The intervention group received a tablet personal computer (PC) with the self-care support app installed, and the control group received a HF diary. All patients performed self-monitoring at home for 2 months. Their self-care behaviours were evaluated by the European Heart Failure Self-Care Behaviour Scale. We enrolled 24 outpatients with chronic HF (ages 31-78 years; 6 women, 18 men) who had a history of HF hospitalization. During the 2 month study period, the intervention group (n = 13) showed excellent adherence to the self-monitoring of each vital sign, with a median [interquartile range (IQR)] ratio of self-monitoring adherence for blood pressure, body weight, and body temperature at 100% (92-100%) and for oxygen saturation at 100% (91-100%). At 2 months, the intervention group's self-care behaviour score was significantly improved compared with the control group (n = 11) [median (IQR): 16 (16-22) vs. 28 (20-36), P = 0.02], but the HF Knowledge Scale, the General Self-Efficacy Scale, and the Short Form-8 Health Survey scores did not differ between the groups.

Conclusion

The novel mobile app for HF is feasible.

The association between physical symptoms and self-care behaviours in heart failure patients with inadequate self-care behaviours: a cross-sectional study

BACKGROUND

Patients with heart failure frequently report inadequate self-care behaviours. Physical symptoms can impact patients' ability to perform self-care behaviours. However, studies investigating the association between physical symptoms and heart failure self-care behaviours have produced inconsistent findings, potentially due to variations in the determinants of self-care behaviours among patients with differing levels of self-care proficiency. Understanding the association between physical symptoms and self-care behaviours in heart failure patients with inadequate self-care behaviours could improve care for this subpopulation. The study aimed to explore the association between physical symptoms and self-care behaviours in Chinese heart failure patients with inadequate self-care behaviours.

METHODS

This analysis was based on primary data from a cross-sectional study that aimed to investigate factors associated with self-care in heart failure patients. Physical symptoms were measured using the Heart Failure Somatic Perception Scale. Self-care behaviours (i.e., self-care maintenance and management) of heart failure were measured using the Self-Care of Heart Failure Index (version 6.2). Patients who reported scores < 70 on both self-care maintenance and management behaviours were eligible and included in the analysis. Hierarchical regression analysis was performed to explore the association between physical symptoms and self-care behaviours.

RESULTS

A total of 189 patients were included in the analysis, with a mean age of 65 years and a median duration of living with heart failure of 24 months. Most participants were classified as New York Heart Association class III or IV. Dyspnoea symptoms were the most frequently reported physical symptoms. The results of the hierarchical regression analysis showed that the severity of physical symptoms was positively associated with self-care management behaviours (β = 0.157, 95% CI: 0.010, 0.368, p = 0.039) but not significantly associated with self-care maintenance behaviours (β = -0.133, 95% CI: -0.316, 0.026, p = 0.097).

CONCLUSIONS

Based on the data collected in Changsha, China, we found that patients with HF with poor self-care experienced more dyspnoea symptoms. Severe HF physical symptoms might serve as drivers for better self-care management in patients with inadequate self-care behaviours. Effective care and support should be provided when physical symptoms worsen to facilitate patients' engagement in self-care behaviour in this subpopulation.

The effectiveness of self-care management in treating heart failure: A scoping review

Introduction: Heart failure is a common chronic disease associated with increased mortality and rehospitalization rates. Self-care management provided in various ways is one approach to avoiding the need for rehospitalization by lowering recurrence rates. Therefore, this study aims to determine the most effective self-care management interventions for heart failure patients. Design and Methods: The databases Science Direct, Google Scholar, and PubMed were used to conduct literature reviews over ten years. In September 2021, a full-text article search was conducted using the keywords "Self-Care," "Self-Management," "Intervention," "Heart Failure Patients," and "Randomized Control Trial" in PubMed ScienceDirect and Google Scholar databases. The inclusion and exclusion criteria were determined using the PICOS technique. After the screening, 39 articles met the criteria. Results: Self-care management is provided through education programs, training programs, and the utilization of apps and websites to improve its self-care abilities. Conclusions: Therefore, one way to provide self-care management during the COVID-19 pandemic was through the program's website, which is viewed "remotely" and used to track patient progress.  

Effectiveness of mobile telemonitoring applications in heart failure patients: systematic review of literature and meta-analysis

Close and frequent follow-up of heart failure (HF) patients improves clinical outcomes. Mobile telemonitoring applications are advantageous alternatives due to their wide availability, portability, low cost, computing power, and interconnectivity. This study aims to evaluate the impact of telemonitoring apps on mortality, hospitalization, and quality of life (QoL) in HF patients. We conducted a registered (PROSPERO CRD42022299516) systematic review of randomized clinical trials (RCTs) evaluating mobile-based telemonitoring strategies in patients with HF, published between January 2000 and December 2021 in 4 databases (PubMed, EMBASE, BVSalud/LILACS, Cochrane Reviews). We assessed the risk of bias using the RoB2 tool. The outcome of interest was the effect on mortality, hospitalization risk, and/or QoL. We performed meta-analysis when appropriate; heterogeneity and risk of publication bias were evaluated. Otherwise, descriptive analyses are offered. We screened 900 references and 19 RCTs were included for review. The risk of bias for mortality and hospitalization was mostly low, whereas for QoL was high. We observed a reduced risk of hospitalization due to HF with the use of mobile-based telemonitoring strategies (RR 0.77 [0.67; 0.89]; I² 7%). Non-statistically significant reduction in mortality risk was observed. The impact on QoL was variable between studies, with different scores and reporting measures used, thus limiting data pooling. The use of mobile-based telemonitoring strategies in patients with HF reduces risk of hospitalization due to HF. As smartphones and wirelessly connected devices are increasingly available, further research on this topic is warranted, particularly in the foundational therapy.

Multicomponent integrated care for patients with chronic heart failure: systematic review and meta‐analysis

To investigate the effectiveness of multicomponent integrated care on clinical outcomes among patients with chronic heart failure. We conducted a meta-analysis of randomized clinical trials, published in English language from inception to 20 April 2022, with at least 3-month implementation of multicomponent integrated care (defined as two or more quality improvement strategies from different domains, viz. the healthcare system, healthcare providers, and patients). The study outcomes were mortality (all-cause or cardiovascular) and healthcare utilization (hospital readmission or emergency department visits). We pooled the risk ratio (RR) using Mantel-Haenszel test. A total of 105 trials (n = 37 607 patients with chronic heart failure; mean age 67.9 ± 7.3 years; median duration of intervention 12 months [interquartile range 6-12 months]) were analysed. Compared with usual care, multicomponent integrated care was associated with reduced risk for all-cause mortality [RR 0.90, 95% confidence interval (CI) 0.86-0.95], cardiovascular mortality (RR 0.73, 95% CI 0.60-0.88), all-cause hospital readmission (RR 0.95, 95% CI 0.91-1.00), heart failure-related hospital readmission (RR 0.84, 95% CI 0.79-0.89), and all-cause emergency department visits (RR 0.91, 95% CI 0.84-0.98). Heart failure-related mortality (RR 0.94, 95% CI 0.74-1.18) and cardiovascular-related hospital readmission (RR 0.90, 95% CI 0.79-1.03) were not significant. The top three quality improvement strategies for all-cause mortality were promotion of self-management (RR 0.86, 95% CI 0.79-0.93), facilitated patient-provider communication (RR 0.87, 95% CI 0.81-0.93), and e-health (RR 0.88, 95% CI 0.81-0.96). Multicomponent integrated care reduced risks for mortality (all-cause and cardiovascular related), hospital readmission (all-cause and heart failure related), and all-cause emergency department visits among patients with chronic heart failure.

Effectiveness of eHealth Self-management Interventions in Patients With Heart Failure: Systematic Review and Meta-analysis

Background

Heart failure (HF) is a common clinical syndrome associated with substantial morbidity, a heavy economic burden, and high risk of readmission. eHealth self-management interventions may be an effective way to improve HF clinical outcomes.

Objective

The aim of this study was to systematically review the evidence for the effectiveness of eHealth self-management in patients with HF.

Methods

This study included only randomized controlled trials (RCTs) that compared the effects of eHealth interventions with usual care in adult patients with HF using searches of the EMBASE, PubMed, CENTRAL (Cochrane Central Register of Controlled Trials), and CINAHL databases from January 1, 2011, to July 12, 2022. The Cochrane Risk of Bias tool (RoB 2) was used to assess the risk of bias for each study. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria were used to rate the certainty of the evidence for each outcome of interest. Meta-analyses were performed using Review Manager (RevMan v.5.4) and R (v.4.1.0 x64) software.

Results

In total, 24 RCTs with 9634 participants met the inclusion criteria. Compared with the usual-care group, eHealth self-management interventions could significantly reduce all-cause mortality (odds ratio [OR] 0.83, 95% CI 0.71-0.98, P=.03; GRADE: low quality) and cardiovascular mortality (OR 0.74, 95% CI 0.59-0.92, P=.008; GRADE: moderate quality), as well as all-cause readmissions (OR 0.82, 95% CI 0.73-0.93, P=.002; GRADE: low quality) and HF-related readmissions (OR 0.77, 95% CI 0.66-0.90, P<.001; GRADE: moderate quality). The meta-analyses also showed that eHealth interventions could increase patients’ knowledge of HF and improve their quality of life, but there were no statistically significant effects. However, eHealth interventions could significantly increase medication adherence (OR 1.82, 95% CI 1.42-2.34, P<.001; GRADE: low quality) and improve self-care behaviors (standardized mean difference –1.34, 95% CI –2.46 to –0.22, P=.02; GRADE: very low quality). A subgroup analysis of primary outcomes regarding the enrolled population setting found that eHealth interventions were more effective in patients with HF after discharge compared with those in the ambulatory clinic setting.

Conclusions

eHealth self-management interventions could benefit the health of patients with HF in various ways. However, the clinical effects of eHealth interventions in patients with HF are affected by multiple aspects, and more high-quality studies are needed to demonstrate effectiveness.