A multicenter randomized controlled evaluation of automated home monitoring and telephonic disease management in patients recently hospitalized for congestive heart failure: the SPAN-CHF II trial

A systematic review of the impacts of remote patient monitoring (RPM) interventions on safety, adherence, quality-of-life and cost-related outcomes

Due to rapid technological advancements, remote patient monitoring (RPM) technology has gained traction in recent years. While the effects of specific RPM interventions are known, few published reviews examine RPM in the context of care transitions from an inpatient hospital setting to a home environment. In this systematic review, we addressed this gap by examining the impacts of RPM interventions on patient safety, adherence, clinical and quality of life outcomes and cost-related outcomes during care transition from inpatient care to a home setting. We searched five academic databases (PubMed, CINAHL, PsycINFO, Embase and SCOPUS), screened 2606 articles, and included 29 studies from 16 countries. These studies examined seven types of RPM interventions (communication tools, computer-based systems, smartphone applications, web portals, augmented clinical devices with monitoring capabilities, wearables and standard clinical tools for intermittent monitoring). RPM interventions demonstrated positive outcomes in patient safety and adherence. RPM interventions also improved patients' mobility and functional statuses, but the impact on other clinical and quality-of-life measures, such as physical and mental health symptoms, remains inconclusive. In terms of cost-related outcomes, there was a clear downward trend in the risks of hospital admission/readmission, length of stay, number of outpatient visits and non-hospitalisation costs. Future research should explore whether incorporating intervention components with a strong human element alongside the deployment of technology enhances the effectiveness of RPM. The review highlights the need for more economic evaluations and implementation studies that shed light on the facilitators and barriers to adopting RPM interventions in different care settings.

Narrative synthesis of the effectiveness and characteristics of heart failure disease self-management support programmes

A deeper understanding of the key elements that should be included in heart failure (HF) disease self-management support (DSMS) programmes is crucial to enhance programme effectiveness and applicability to diverse settings. We investigated the characteristics and effectiveness of DSMS programmes designed to improve survival and decrease acute care readmissions for people with HF and determine the generalizability and applicability of the evidence to low- and middle-income countries (LMICs). A narrative meta-synthesis approach was used, and systematic reviews of randomized controlled trials (RCTs) of DSMS programmes were included. The Cochrane Database of Systematic Reviews, MEDLINE, and Embase were searched without language restriction and guided by the adapted Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Eight high-quality systematic reviews were identified representing 250 studies, of which 138 were unique RCTs measuring the outcomes of interest. The findings revealed statistically significant reductions in HF readmissions [relative risk (RR) range 0.64-0.85, P < 0.5, five out of six reviews], all-cause readmissions (RR range 0.85-0.95, P < 0.5, five out of six reviews), and all-cause mortality (RR range 0.67-0.87, P < 0.5, five out of five reviews). Overall, 44.2% (n = 61) of RCTs reduced acute care readmission and improved survival. Studies were categorized according to intensity (low, moderate, moderate+, and high) based on the opportunity for immediate treatment of HF instability; 29.2% (14/48) of low-intensity, 63.6% (21/33) of moderate-intensity, 40% (6/15) of moderate+-intensity, and 47.6% (20/42) of high-intensity interventions were effective. Most effective programmes used moderate-intensity (39.4%, 48%, or 50%, respectively) or high-intensity (33.3%, 36%, and 43.7%, respectively) interventions. The majority of studies (90.6%) were conducted in high-income countries. Programmes that provided opportunities for early recognition and response to HF instability were more likely to reduce acute care readmission and enhance survival. Generalizability and applicability to LMICs are clearly limited. Tailoring HF DSMS programmes to accommodate cultural, resource, and environmental challenges requires careful consideration of intervention intensity, duration of follow-up, and feasibility in low-resource settings.

Home telemonitoring in heart failure patients and the effect of study design on outcome: A literature review

INTRODUCTION

A wide range of study designs have been utilized in evaluations of home telemonitoring and these studies have produced conflicting outcomes over the years. While some of the research has shown that telemonitoring is beneficial in reducing all-cause mortality, hospital admission, length of stay in hospital and emergency room visits, other studies have not shown such benefits. This study, therefore, aims to examine several home telemonitoring study designs and the influence of study design on study outcomes.

METHOD

Articles were obtained by searching PubMed database with the term heart failure combined with the following terms: telemonitoring, telehealth, home monitoring, and remote monitoring. Searches were limited to randomized controlled trial conducted between year January 1, 2000 and February 6, 2021. The characteristics of the study designs and study outcomes were extracted and analyzed.

RESULT

Our review of 34 randomized controlled trials of heart failure telemonitoring did not show any significant influence of study design on reduction in number of hospitalizations and/or decrease in mortality. Studies that were done outside North America (USA and Canada) and studies that selected patients at high risk of re-hospitalization were more likely to result in decreased hospitalization and/or mortality, though this was not statistically significant. All the studies that met our inclusion criteria were from high-income countries and only one study enrolled patients at high risk of re-hospitalization.

CONCLUSION

There is a need for more studies to understand why telemonitoring studies in Europe were more likely to reduce hospital admission and mortality compared to those in North America. There is also a need for more studies on the effect of telemonitoring in patients at high risk of hospital readmission.

Patient Perspectives on Digital Interventions to Manage Heart Failure Medications: The VITAL-HF Pilot

Use of guideline-directed medical therapy (GDMT) for treatment of heart failure with reduced ejection fraction (HFrEF) remains unacceptably low. The purpose of this study was to determine whether a digital health tool can augment GDMT for patients with HFrEF. Participants ≥ 18 years old with symptomatic HFrEF (left ventricular ejection fraction ≤ 40%) and with access to a mobile phone with internet were included. Participants were given a blood pressure cuff, instructed in its use, and given regular symptom surveys via cell-phone web-link. Data were transmitted to the Story Health web-based platform, and automated alerts were triggered based on pre-specified vital sign and laboratory data. Health coaches assisted patients with medication education, pharmacy access, and lab access through text messages and phone calls. GDMT titration plans were individually created in the digital platform by local clinicians based on entry vitals and labs. Twelve participants enrolled and completed the study. The median age and LVEF were 52.5 years (IQR, 46.5-63.5) and 25% (IQR, 22.5-35.5), respectively. There were 10 GDMT initiations, 52 up-titrations, and 13 down-titrations. Five participants engaged in focus-group interviews following study completion to understand first-hand perspectives regarding the use of digital tools to manage GDMT. Participants expressed comfort knowing that there were clinicians regularly reviewing their data. This alleviated concerns of uncertainty in daily living, led to an increased feeling of security, and empowered patients to understand decision-making regarding GDMT. Frequent medication changes, and the associated financial impact, were common concerns. Remote titration of GDMT for HFrEF is feasible and appears to be a patient-centered approach to care.

The effect of tablet computer-based telemonitoring added to an established telephone disease management program on heart failure hospitalizations: The Specialized Primary and Networked Care in Heart Failure (SPAN-CHF) III Randomized Controlled Trial

BACKGROUND

Mobile health applications are becoming increasingly common. Prior work has demonstrated reduced heart failure (HF) hospitalizations with HF disease management programs; however, few of these programs have used tablet computer-based technology.

METHODS

Participants with a diagnosis of HF and at least 1 high risk feature for hospitalization were randomized to either an established telephone-based disease management program or the same disease management program with the addition of remote monitoring of weight, blood pressure, heart rate and symptoms via a tablet computer for 90 days. The primary endpoint was the number of days hospitalized for HF assessed at 90 days.

RESULTS

From August 2014 to April 2019, 212 participants from 3 hospitals in Massachusetts were randomized 3:1 to telemonitoring-based HF disease management (n = 159) or telephone-based HF disease management (n = 53) with 98% of individuals in both study groups completing the 90 days of follow-up. There was no significant difference in the number of days hospitalized for HF between the telemonitoring disease management group (0.88 ± 3.28 days per patient-90 days) and the telephone-based disease management group (1.00 ± 2.97 days per patient-90 days); incidence rate ratio 0.82 (95% confidence interval, 0.43-1.58; P = .442).

CONCLUSIONS

The addition of tablet-based telemonitoring to an established HF telephone-based disease management program did not reduce HF hospitalizations; however, study power was limited.

Elements Characterising Multicomponent Interventions Used to Improve Disease Management Models and Clinical Pathways in Acute and Chronic Heart Failure: A Scoping Review

This study aimed to summarise different interventions used to improve clinical models and pathways in the management of chronic and acute heart failure (HF). A scoping review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. MEDLINE (via PubMed), Embase, The Cochrane Library, and CINAHL were searched for systematic reviews (SR) published in the period from 2014 to 2019 in the English language. Primary articles cited in SR that fulfil inclusion and exclusion criteria were extracted and examined using narrative synthesis. Interventions were classified based on five chosen elements of the Chronic Care Model (CCM) framework (self-management support, decision support, community resources and policies, delivery system, and clinical information system). Out of 155 SRs retrieved, 7 were considered for the extraction of 166 primary articles. The prevailing setting was the patient's home. Only 46 studies specified the severity of HF by reporting the level of left ventricular ejection fraction (LVEF) impairment in a heterogeneous manner. However, most studies targeted the populations with LVEF ≤ 45% and LVEF < 40%. Self-management and delivery systems were the most evaluated CCM elements. Interventions related to community resources and policy and advising/reminding systems for providers were rarely evaluated. No studies addressed the implementation of a disease registry. A multidisciplinary team was available with similarly low frequency in each setting. Although HF care should be a multi-component model, most studies did not analyse the role of some important components, such as the decision support tools to disseminate guidelines and program planning that includes measurable targets.

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.

Telemonitoring in heart failure patients: Systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Home telemonitoring has been used as a modality to prevent readmission and improve outcomes for patients with heart failure. However, studies have produced conflicting outcomes over the years.

AIM

To determine the aggregate effect of telemonitoring on all-cause mortality, heart failure-related mortality, all-cause hospitalization, and heart failure-related hospitalization in heart failure patients.

METHODS

We conducted a systematic review and meta-analysis of 38 home telemonitoring randomized controlled trials involving 14993 patients. We also conducted a sensitivity analysis to examine the effect of telemonitoring duration, recent heart failure hospitalization, and age on telemonitoring outcomes.

RESULTS

Our study demonstrated that home telemonitoring in heart failure patients was associated with reduced all-cause [relative risk (RR) = 0.83, 95% confidence interval (CI): 0.75-0.92, P = 0.001] and cardiovascular mortality (RR = 0.66, 95%CI: 0.54-0.81, P < 0.001). Additionally, telemonitoring decreased the all-cause hospitalization (RR = 0.87, 95%CI: 0.80-0.94, P = 0.002) but did not decrease heart failure-related hospitalization (RR = 0.88, 95%CI: 0.77-1.01, P = 0.066). However, prolonged home telemonitoring (12 mo or more) was associated with both decreased all-cause and heart failure hospitalization, unlike shorter duration (6 mo or less) telemonitoring.

CONCLUSION

Home telemonitoring using digital/broadband/satellite/wireless or blue-tooth transmission of physiological data reduces all-cause and cardiovascular mortality in heart failure patients. In addition, prolonged telemonitoring (≥ 12 mo) reduces all-cause and heart failure-related hospitalization. The implication for practice is that hospitals considering telemonitoring to reduce heart failure readmission rates may need to plan for prolonged telemonitoring to see the effect they are looking for.

Optimal effectiveness of heart failure management - an umbrella review of meta-analyses examining the effectiveness of interventions to reduce (re)hospitalizations in heart failure

Heart failure (HF) is a major health concern, which accounts for 1-2% of all hospital admissions. Nevertheless, there remains a knowledge gap concerning which interventions contribute to effective prevention of HF (re)hospitalization. Therefore, this umbrella review aims to systematically review meta-analyses that examined the effectiveness of interventions in reducing HF-related (re)hospitalization in HFrEF patients. An electronic literature search was performed in PubMed, Web of Science, PsycInfo, Cochrane Reviews, CINAHL, and Medline to identify eligible studies published in the English language in the past 10 years. Primarily, to synthesize the meta-analyzed data, a best-evidence synthesis was used in which meta-analyses were classified based on level of validity. Secondarily, all unique RCTS were extracted from the meta-analyses and examined. A total of 44 meta-analyses were included which encompassed 186 unique RCTs. Strong or moderate evidence suggested that catheter ablation, cardiac resynchronization therapy, cardiac rehabilitation, telemonitoring, and RAAS inhibitors could reduce (re)hospitalization. Additionally, limited evidence suggested that multidisciplinary clinic or self-management promotion programs, beta-blockers, statins, and mitral valve therapy could reduce HF hospitalization. No, or conflicting evidence was found for the effects of cell therapy or anticoagulation. This umbrella review highlights different levels of evidence regarding the effectiveness of several interventions in reducing HF-related (re)hospitalization in HFrEF patients. It could guide future guideline development in optimizing care pathways for heart failure patients.

Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis

BACKGROUND

Telemedicine has been increasingly integrated into chronic disease management through remote patient monitoring and consultation, particularly during the COVID-19 pandemic. We did a systematic review and meta-analysis of studies reporting effectiveness of telemedicine interventions for the management of patients with cardiovascular conditions.

METHODS

In this systematic review and meta-analysis, we searched PubMed, Scopus, and Cochrane Library from database inception to Jan 18, 2021. We included randomised controlled trials and observational or cohort studies that evaluated the effects of a telemedicine intervention on cardiovascular outcomes for people either at risk (primary prevention) of cardiovascular disease or with established (secondary prevention) cardiovascular disease, and, for the meta-analysis, we included studies that evaluated the effects of a telemedicine intervention on cardiovascular outcomes and risk factors. We excluded studies if there was no clear telemedicine intervention described or if cardiovascular or risk factor outcomes were not clearly reported in relation to the intervention. Two reviewers independently assessed and extracted data from trials and observational and cohort studies using a standardised template. Our primary outcome was cardiovascular-related mortality. We evaluated study quality using Cochrane risk-of-bias and Newcastle-Ottawa scales. The systematic review and the meta-analysis protocol was registered with PROSPERO (CRD42021221010) and the Malaysian National Medical Research Register (NMRR-20-2471-57236).

FINDINGS

72 studies, including 127 869 participants, met eligibility criteria, with 34 studies included in meta-analysis (n=13 269 with 6620 [50%] receiving telemedicine). Combined remote monitoring and consultation for patients with heart failure was associated with a reduced risk of cardiovascular-related mortality (risk ratio [RR] 0·83 [95% CI 0·70 to 0·99]; p=0·036) and hospitalisation for a cardiovascular cause (0·71 [0·58 to 0·87]; p=0·0002), mostly in studies with short-term follow-up. There was no effect of telemedicine on all-cause hospitalisation (1·02 [0·94 to 1·10]; p=0·71) or mortality (0·90 [0·77 to 1·06]; p=0·23) in these groups, and no benefits were observed with remote consultation in isolation. Small reductions were observed for systolic blood pressure (mean difference -3·59 [95% CI -5·35 to -1·83] mm Hg; p<0·0001) by remote monitoring and consultation in secondary prevention populations. Small reductions were also observed in body-mass index (mean difference -0·38 [-0·66 to -0·11] kg/m2; p=0·0064) by remote consultation in primary prevention settings.

INTERPRETATION

Telemedicine including both remote disease monitoring and consultation might reduce short-term cardiovascular-related hospitalisation and mortality risk among patients with heart failure. Future research should evaluate the sustained effects of telemedicine interventions.

FUNDING

The British Heart Foundation.

Usefulness of telemedicine-based heart failure monitoring according to 'eHealth literacy' domains: Insights from the iCOR randomized controlled trial

BACKGROUND

The potential positive effect of electronic health (eHealth)-based heart failure (HF) monitoring remains uncertain mainly in the 'low literacy' or 'computer or digital illiterate' patients. The aim of this study was to determine the effectiveness of a telemedicine (TM)-based managed care solution across literacy levels and information and communications technology (ICT) skills.

METHODS

We performed a sub-analysis on the basis of two literacy domains encompassed in the definition of 'eHealth literacy' to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomized study comparing TM vs. usual care (UC) in HF-patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The event rates of primary and secondary study endpoints were calculated for each literacy domains and its combination. Cox proportional-hazards regression models were used to evaluate the effect of 'eHealth literacy' dimensions, treatment group and the interaction term 'eHealth literacy' domains by treatment group on study endpoints.

RESULTS

The beneficial effect of TM compared to UC strategy was consistent across all literacy domains (p-value for interaction 0.207 and 0.117 respectively). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC in both clustered in the 'lower literacy' (p-value=0.001) and those allocated to the 'lower ICT skills' (p-value=0.001) subgroup.

CONCLUSIONS

Non-invasive eHealth-based HF monitoring tools are effective compared to UC in preventing HF events in the early post-discharge period, regardless of two 'eHealth literacy' domains ('traditional and computer literacy').

Effectiveness of telemedicine in patients with heart failure according to frailty phenotypes: Insights from the iCOR randomised controlled trial

BACKGROUND

The potential impact of telemedicine (TM) in the monitoring of patients with heart failure (HF) is still uncertain particularly in the frailest patients. The aim of this study was to define the efficacy of a TM-based managed care solution across different HF patient frailty phenotypes.

METHODS

We performed a clustering analysis on the basis of 8 frailty-related dimensions to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomised study comparing TM vs. usual care (UC) in HF patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The healthcare-related costs in each study group and cluster were also evaluated. The event rates of primary and secondary study endpoints were calculated for each cluster. Cox proportional-hazards regression models were used to evaluate the effect of cluster, treatment group and the interaction term cluster by treatment group on study endpoints.

RESULTS

5 different frailty phenotypes were identified. The positive effect of TM compared to UC strategy was consistent across all frailty phenotypes (p-value for interaction 0.711). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC (p-value = 0.016). Ultimately, the healthcare costs were significantly reduced in patients allocated to the TM compared to UC in all 5 frailty phenotypes (all p-value < 0.05).

CONCLUSIONS

Non-invasive TM-based follow-up tools are effective compared to UC follow-up in preventing HF events in the early post-discharge period, regardless of the 5 frailty phenotypes.

Factors affecting doctor’s recommendation for mobile health services

Objective

As a new medical service mode, the value of mobile health (mHealth） services has received increasing attention and recognition. However, compared with the owners of mobile devices, the user scale of mHealth services is still small. It is well known that doctors’ recommendations have an important impact on what kind of medical service patients choose. To explore the key factors affecting doctors’ recommendation of mHealth services to patients, and to provide countermeasures for mHealth service providers and hospital managers, so as to promote doctors to recommend mHealth services to more patients.

Methods

Through literature review, expert consultation and pre-test, a questionnaire including 22 questions was designed, and 114 valid questionnaires were collected by online research. Net Promoter Score (NPS) was used to evaluate doctors’ recommendation willingness, and multivariate logistics analysis was used to evaluate the key factors affecting doctors’ recommendation willingness.

Results

The NPS of doctors was 6.06%, among which the recommenders, neutrals and critics accounted for 29.56%, 46.96% and 23.48%, respectively. The attitude towards mHealth services and whether they pay attention to and/or are willing to try new technologies are the key factors affecting the doctors’ recommendation, and the usefulness for patients most often emphasized by mHealth service providers to doctors does not affect doctors’ recommendation willingness. In addition, whether mHealth services can help doctors establish personal brands may be a potential factor to enhance doctors’ recommendation willingness.

Conclusion

In order to improve the recommendation willingness of doctors, mHealth service providers and hospital managers should focus on doctors who have a positive attitude towards mHealth services and are highly innovative (which often means younger and lower professional levels). At the same time, they should think about how to use mHealth services to help doctors establish personal brands in the future.

Telecardiology interventions for patients with cardiovascular Disease: A systematic review on characteristics and effects

INTRODUCTION

The prevalence and mortality of cardiovascular diseases are high worldwide. Telecardiology can be used to diagnose and treat these diseases. This paper aimed to review the effectiveness (positive and negative) of implemented telecardiology services in terms of clinical, economic, and patient-reported aspects.

METHODS

A comprehensive search was conducted in Medline (through PubMed), Scopus, ISI web of science, and IEEE Xplore databases from inception to April 7, 2021. the studies that examined the effectiveness of telecardiology interventions were included.

RESULTS

Fifty studies were included in this systematic review. Most investigations (22%) were conducted in the US. In 22% of studies, telecardiology intervention was used for patients with heart failure. Telecardiology has been used in most studies for tele-monitoring (n = 21, 42%) and tele-consultation (n = 17, 34%) and in 29 studies (58%), was applied for ECG transmission. The highest rate of effects reported by studies was clinical. Thirty-five studies (70%) reported the clinical effects; twenty-one studies reported the positive effects for the economic category, and fifteen studies reported the positive effect for patient-reported class. The most positive clinical effects of telecardiology were early diagnosis, early treatment, and mortality reduction. The most positive effect of the economic class was the reduction of health care costs. The most effects of the patient-reported category were improving the patient's quality of life and patient satisfaction.

CONCLUSION

Telecardiology can help early diagnosis and treatment of cardiovascular diseases. It also has great potential in reducing health care costs and increasing quality of life and patient satisfaction.

Perceptions of Social Media Use to Augment Health Care Among Adolescents and Young Adults With Cystic Fibrosis: Survey Study

BACKGROUND

For individuals with cystic fibrosis (CF), adolescence and young adulthood are times of significant vulnerability and have been associated with clinical and psychosocial challenges. Social media may offer innovative care delivery solutions to address these challenges.

OBJECTIVE

This study explored motivations and attitudes regarding current social media use and preferences for a social media platform in a sample of adolescents and young adults (AYA) with CF.

METHODS

A cross-sectional survey was administered to 50 AYA with CF followed at a large pediatric-adult CF center. The survey included questions regarding social media platform utilization, attitudes toward general and CF-specific online activities, and preferences for a CF-specific care delivery platform.

RESULTS

YouTube, Snapchat, and Instagram were the most commonly used social media platforms. AYA with CF do not report routinely using social media for health-related information acquisition, social support, or help with adherence. However, their perceptions of social media utilization and preferences for platform development suggest interest in doing so in the future.

CONCLUSIONS

AYA with CF use social media and expressed interest in the development of a social media platform. Platform development will allow for gaps in health care delivery to be addressed by improving social support and adherence while augmenting current methods of health information acquisition.

Non-invasive home telemonitoring in patients with decompensated heart failure: a systematic review and meta-analysis

We planned this systematic review and meta-analysis to study an estimate of the effect of non-invasive home telemonitoring (TM) in the treatment of patients with recently decompensated heart failure (HF). A systematic literature search was conducted in the Medline, Cinahl, and Scopus databases to look for randomized controlled studies comparing TM with standard care in the treatment of patients with recently decompensated HF. The main outcomes of interest were all-cause hospitalizations and mortality. Eleven original articles met our eligibility criteria. The pooled estimate of the relative risk of all-cause hospitalization in the TM group compared with standard care was 0.95 (95% CI 0.84-1.08, P = 0.43) and the relative risk of all-cause death was 0.83 (95% CI 0.63-1.09, P = 0.17). There was significant clinical heterogeneity among primary studies. HF medication could be directly altered in three study interventions, and two of these had a statistically significant effect on all-cause hospitalizations. The pooled effect estimate of TM interventions on all-cause hospitalizations and all-cause death in patients with recently decompensated heart failure was neutral.

A Virtual Cardiovascular Care Program for Prevention of Heart Failure Readmissions in a Skilled Nursing Facility Population: Retrospective Analysis

Background

Patients with heart failure (HF) in skilled nursing facilities (SNFs) have 30-day hospital readmission rates as high as 43%. A virtual cardiovascular care program, consisting of patient selection, initial televisit, postconsultation care planning, and follow-up televisits, was developed and delivered by Heartbeat Health, Inc., a cardiovascular digital health company, to 11 SNFs (3510 beds) in New York. The impact of this program on the expected SNF 30-day HF readmission rate is unknown, particularly in the COVID-19 era.

Objective

The aim of the study was to assess whether a virtual cardiovascular care program could reduce the 30-day hospital readmission rate for patients with HF discharged to SNF relative to the expected rate for this population.

Methods

We performed a retrospective case review of SNF patients who received a virtual cardiology consultation between August 2020 and February 2021. Virtual cardiologists conducted 1 or more telemedicine visit via smartphone, tablet, or laptop for cardiac patients identified by a SNF care team. Postconsult care plans were communicated to SNF clinical staff. Patients included in this analysis had a preceding index admission for HF.

Results

We observed lower hospital readmission among patients who received 1 or more virtual consultations compared with the expected readmission rate for both cardiac (3% vs 10%, respectively) and all-cause etiologies (18% vs 27%, respectively) in a population of 3510 patients admitted to SNF. A total of 185/3510 patients (5.27%) received virtual cardiovascular care via the Heartbeat Health program, and 40 patients met study inclusion criteria and were analyzed, with 26 (65%) requiring 1 televisit and 14 (35%) requiring more than 1. Cost savings associated with this reduction in readmissions are estimated to be as high as US $860 per patient.

Conclusions

The investigation provides initial evidence for the potential effectiveness and efficiency of virtual and digitally enabled virtual cardiovascular care on 30-day hospital readmissions. Further research is warranted to optimize the use of novel virtual care programs to transform delivery of cardiovascular care to high-risk populations.

Interdisciplinary collaboration between nursing and engineering in health care: A scoping review

BACKGROUND

Due to the rapid advancements in precision medicine and artificial intelligence, interdisciplinary collaborations between nursing and engineering have emerged. Although engineering is vital in solving complex nursing problems and advancing healthcare, the collaboration between the two fields has not been fully elucidated.

OBJECTIVES

To identify the study areas of interdisciplinary collaboration between nursing and engineering in health care, particularly focusing on the role of nurses in the collaboration.

METHODS

In this study, a scoping review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews was performed. A comprehensive search for published literature was conducted using the PubMed, Cumulative Index to Nursing and Allied Health Literature, Scopus, Embase, Web of Science, ScienceDirect, Institute of Electrical and Electronics Engineers Digital Library, and Association for Computing Machinery Digital Library from inception to November 22, 2020. Data screening and extraction were performed independently by two reviewers. Any discrepancies in results were resolved through discussions or in consultation with a third reviewer. Data were analyzed by descriptive statistics and content analysis. Results were visualized in an interdisciplinary collaboration model.

RESULTS

We identified 6,752 studies through the literature search, and 60 studies met the inclusion criteria. The study areas of interdisciplinary collaboration concentrated on patient safety (n = 18), symptom monitoring and health management (n = 18), information system and nursing human resource management (n = 16), health education (n = 5), and nurse-patient communication (n = 3). The roles of nurses in the interdisciplinary collaboration were divided into four themes: requirement analyst (n = 21), designer (n = 22), tester(n = 37) and evaluator (n = 49). Based on these results, an interdisciplinary collaboration model was constructed.

CONCLUSIONS

Interdisciplinary collaborations between nursing and engineering promote nursing innovation and practice. However, these collaborations are still emerging and in the early stages. In the future, nurses should be more involved in the early stages of solving healthcare problems, particularly in the requirement analysis and designing phases. Furthermore, there is an urgent need to develop interprofessional education, strengthen nursing connections with the healthcare engineering industry, and provide more platforms and resources to bring nursing and engineering disciplines together.

Transitions of care interventions to improve quality of life among patients hospitalized with acute conditions: a systematic literature review

BACKGROUND

Although transitional care interventions can improve health among patients hospitalized with acute conditions, few interventions use patient quality of life (QOL) as the primary outcome. Existing interventions use a variety of intervention components, are not effective for patients of all races and ethnicities, do not address age-related patient needs, and do not incorporate the needs of families. The purpose of this study was to systematically review characteristics of transitional care intervention studies that aimed to improve QOL for younger adult patients of all race and ethnicities who were hospitalized with acute conditions.

METHODS

A systematic review was conducted of empirical literature available in PubMed, Embase, CINAHL, and PsycINFO by November 19, 2019 to identify studies of hospital to home care transitions with QOL as the primary outcome. Data extraction on study design and intervention components was limited to studies of patients aged 18-64.

RESULTS

Nineteen articles comprising 17 studies met inclusion criteria. There were a total of 3,122 patients across all studies (range: 28-536). Populations of focus included cardiovascular disease, chronic obstructive pulmonary disease, stroke, breast cancer, and kidney disease. Seven QOL instruments were identified. All interventions were multi-component with a total of 31 different strategies used. Most interventions were facilitated by a registered nurse. Seven studies discussed intervention facilitator training and eight discussed intervention materials utilized. No studies specified cultural tailoring of interventions or analyzed findings by racial/ethnic subgroup.

CONCLUSIONS

Future research is needed to determine which intervention components, either in isolation or in combination, are effective in improving QOL. Future studies should also elaborate on the background and training of intervention facilitators and on materials utilized and may also consider incorporating differences in culture, race and ethnicity into all phases of the research process in an effort to address and reduce any health disparities.

Remote Monitoring in Chronic Heart Failure Patients: Is Non-Invasive Remote Monitoring the Way to Go?

Heart failure (HF) is a major health care issue, and the incidence of HF is only expected to grow further. Due to the frequent hospitalizations, HF places a major burden on the available hospital and healthcare resources. In the future, HF care should not only be organized solely at the clinical ward and outpatient clinics, but remote monitoring strategies are urgently needed to guide, monitor, and treat chronic HF patients remotely from their homes as well. The intuitiveness and relatively low costs of non-invasive remote monitoring tools make them an appealing and emerging concept for developing new medical apps and devices. The recent COVID-19 pandemic and the associated transition of patient care outside the hospital will boost the development of remote monitoring tools, and many strategies will be reinvented with modern tools. However, it is important to look carefully at the inconsistencies that have been reported in non-invasive remote monitoring effectiveness. With this review, we provide an up-to-date overview of the available evidence on non-invasive remote monitoring in chronic HF patients and provide future perspectives that may significantly benefit the broader group of HF patients.

Emerging Pharmacotherapy and Health Care Needs of Patients in the Age of Artificial Intelligence and Digitalization

Advances in the application of artificial intelligence, digitization, technology, iCloud computing, and wearable devices in health care predict an exciting future for health care professionals and our patients. Projections suggest an older, generally healthier, better-informed but financially less secure patient population of wider cultural and ethnic diversity that live throughout the United States. A pragmatic yet structured approach is recommended to prepare health care professionals and patients for emerging pharmacotherapy needs. Clinician training should include genomics, cloud computing, use of large data sets, implementation science, and cultural competence. Patients will need support for wearable devices and reassurance regarding digital medicine.

Implementation and Evaluation of a Smartphone-Based Telemonitoring Program for Patients With Heart Failure: Mixed-Methods Study Protocol

Background

Meta-analyses of telemonitoring for patients with heart failure conclude that it can lower the utilization of health services and improve health outcomes compared with the standard of care. A smartphone-based telemonitoring program is being implemented as part of the standard of care at a specialty care clinic for patients with heart failure in Toronto, Canada.

Objective

The objectives of this study are to (1) evaluate the impact of the telemonitoring program on health service utilization, patient health outcomes, and their ability to self-care; (2) identify the contextual barriers and facilitators of implementation at the physician, clinic, and institutional level; (3) describe patient usage patterns to determine adherence and other behaviors in the telemonitoring program; and (4) evaluate the costs associated with implementation of the telemonitoring program from the perspective of the health care system (ie, public payer), hospital, and patient.

Methods

The evaluation will use a mixed-methods approach. The quantitative component will include a pragmatic pre- and posttest study design for the impact and cost analyses, which will make use of clinical data and questionnaires administered to at least 108 patients at baseline and 6 months. Furthermore, outcome data will be collected at 1, 12, and 24 months to explore the longitudinal impact of the program. In addition, quantitative data related to implementation outcomes and patient usage patterns of the telemonitoring system will be reported. The qualitative component involves an embedded single case study design to identify the contextual factors that influenced the implementation. The implementation evaluation will be completed using semistructured interviews with clinicians, and other program staff at baseline, 4 months, and 12 months after the program start date. Interviews conducted with patients will be triangulated with usage data to explain usage patterns and adherence to the system.

Results

The telemonitoring program was launched in August 2016 and patient enrollment is ongoing.

Conclusions

The methods described provide an example for conducting comprehensive evaluations of telemonitoring programs. The combination of impact, implementation, and cost evaluations will inform the quality improvement of the existing program and will yield insights into the sustainability of smartphone-based telemonitoring programs for patients with heart failure within a specialty care setting.

Understanding the Digital Gap Among US Adults With Disability: Cross-Sectional Analysis of the Health Information National Trends Survey 2013

Background

Disabilities affect more than 1 in 5 US adults, and those with disabilities face multiple barriers in accessing health care. A digital gap, defined as the disparity caused by differences in the ability to use advanced technologies, is assumed to be prevalent among individuals with disabilities.

Objective

This study examined the associations between disability and use of information technology (IT) in obtaining health information and between trust factors and IT use. We hypothesized that compared to US adults without disabilities, those with disabilities are less likely to refer to the internet for health information, more likely to refer to a health care provider to obtain health information, and less likely to use IT to exchange medical information with a provider. Additionally, we hypothesized that trust factors, such as trust toward health information source and willingness to exchange health information, are associated with IT use.

Methods

The primary database was the 2013 Health Information National Trends Survey 4 Cycle 3 (N=3185). Disability status, the primary study covariate, was based on 6 questions that encompassed a wide spectrum of conditions, including impairments in mobility, cognition, independent living, vision, hearing, and self-care. Study covariates included sociodemographic factors, respondents’ trust toward the internet and provider as information sources, and willingness to exchange medical information via IT with providers. Study outcomes were the use of the internet as the primary health information source, use of health care providers as the primary health information source, and use of IT to exchange medical information with providers. We conducted multivariate logistic regressions to examine the association between disability and study outcomes controlling for study covariates. Multiple imputations with fully conditional specification were used to impute missing values.

Results

We found presence of any disability was associated with decreased odds (adjusted odds ratio [AOR] 0.65, 95% CI 0.43-0.98) of obtaining health information from the internet, in particular for those with vision disability (AOR 0.27, 95% CI 0.11-0.65) and those with mobility disability (AOR 0.51, 95% CI 0.30-0.88). Compared to those without disabilities, those with disabilities were significantly more likely to consult a health care provider for health information in both actual (OR 2.21, 95% CI 1.54-3.18) and hypothetical situations (OR 1.80, 95% CI 1.24-2.60). Trust toward health information from the internet (AOR 3.62, 95% CI 2.07-6.33), and willingness to exchange via IT medical information with a provider (AOR 1.88, 95% CI 1.57-2.24) were significant predictors for seeking and exchanging such information, respectively.

Conclusions

A potential digital gap may exist among US adults with disabilities in terms of their recent use of the internet for health information. Trust toward health information sources and willingness play an important role in people’s engagement in use of the internet for health information. Future studies should focus on addressing trust factors associated with IT use and developing tools to improve access to care for those with disabilities.

Comparative Effectiveness of Telemonitoring Versus Usual Care for Heart Failure: A Systematic Review and Meta-analysis

BACKGROUND

This study aimed to evaluate the effectiveness of telemonitoring (TM) in the management of patients with heart failure (HF).

METHODS AND RESULTS

We searched Ovid-Medline, Ovid-Embase, and the Cochrane Library for randomized controlled trials published through May 2016. Outcomes of interest included clinical effectiveness (mortality, hospitalization, and emergency department visits) and patient-reported outcomes. TM was defined as the transmission of individual biologic data, such as weight, blood pressure, and heart rate. Thirty-seven randomized controlled trials (9582 patients) of TM met the inclusion criteria: 24 studies on all-cause mortality, 17 studies on all-cause hospitalization, 12 studies on HF-related hospitalization, and 5 studies on HF-related mortality. The risks of all-cause mortality (risk ratio [RR] 0.81, 95% confidence interval [CI] 0.70-0.94) and HF-related mortality (RR 0.68, 95% CI 0.50-0.91) were significantly lower in the TM group than in the usual care group. TM showed a significant benefit when ≥3 biologic data are transmitted or when transmission occurred daily. TM also reduced mortality risk in studies that monitored patients' symptoms, medication adherence, or prescription changes.

CONCLUSIONS

TM intervention reduces the mortality risk in patients with HF, and intensive monitoring with more frequent transmissions of patient data increases its effectiveness.

Mobile Health in Solid Organ Transplant: The Time Is Now

Despite being in existence for >40 years, the application of telemedicine has lagged significantly in comparison to its generated interest. Detractors include the immobile design of most historic telemedicine interventions and the relative lack of smartphones among the general populace. Recently, the exponential increase in smartphone ownership and familiarity have provided the potential for the development of mobile health (mHealth) interventions that can be mirrored realistically in clinical applications. Existing studies have demonstrated some potential clinical benefits of mHealth in the various phases of solid organ transplantation (SOT). Furthermore, studies in nontransplant chronic diseases may be used to guide future studies in SOT. Nevertheless, substantially more must be accomplished before mHealth becomes mainstream. Further evidence of clinical benefits and a critical need for cost-effectiveness analysis must prove its utility to patients, clinicians, hospitals, insurers, and the federal government. The SOT population is an ideal one in which to demonstrate the benefits of mHealth. In this review, the current evidence and status of mHealth in SOT is discussed, and a general path forward is presented that will allow buy-in from the health care community, insurers, and the federal government to move mHealth from research to standard care.

Clinical effectiveness of telemedicine for chronic heart failure: a systematic review and meta-analysis

Telemedicine interventions may be associated with reductions in hospital admission rate and mortality in patients with heart failure (HF). The present study is an updated analysis (as of June 30, 2016) of randomized controlled trials, where patients with HF underwent telemedicine care or the usual standard care. Data were extracted from 39 eligible studies for all-cause and HF-related hospital admission rate, length of stay, and mortality. The overall all-cause mortality (pooled OR=0.80, 95% CI 0.71 to 0.91, p<0.001), HF-related admission rate (pooled OR=0.63, 95% CI 0.53 to 0.76, p<0.001), and HF-related length of stay (pooled standardized difference in means=-0.37, 95% CI -0.72 to -0.02, p=0.041) were significantly lower in the telemedicine group (teletransmission and telephone-supported care), as compared with the control group. In subgroup analysis, all-cause mortality (pooled OR=0.69, 95% CI 0.56 to 0.86, p=0.001), HF-related admission rate (OR=0.61, 95% CI 0.42 to 0.88, p=0.008), HF-related length of stay (pooled standardized difference in means=-0.96, 95% CI -1.88 to -0.05, p=0.039) and HF-related mortality (OR=0.68, 95% CI 0.54 to 0.85, p=0.001) were significantly lower in the teletransmission group, as opposed to the standard care group, whereas only HF-related admission rate (OR=0.64, 95% CI 0.52 to 0.79, p<0.001) was lower in the telephone-supported care group. Overall, telemedicine was shown to be beneficial, with home-based teletransmission effectively reducing all-cause mortality and HF-related hospital admission, length of stay and mortality in patients with HF.

Comparative effectiveness of transitional care services in patients discharged from the hospital with heart failure: a systematic review and network meta-analysis

AIMS

To compare the effectiveness of transitional care services in decreasing all-cause death and all-cause readmissions following hospitalization for heart failure (HF).

METHODS AND RESULTS

We searched PubMed, Embase, CINAHL, and Cochrane Clinical Trials Register for randomized controlled trials (RCTs) published in 2000-2015 that tested the efficacy of transitional care services in patients hospitalized for HF, provided ≥1 month of follow-up, and reported all-cause mortality or all-cause readmissions. Our network meta-analysis included 53 RCTs (12 356 patients). Among services that significantly decreased all-cause mortality compared with usual care, nurse home visits were most effective [ranking P-score 0.6794; relative risk (RR) 0.78, 95% confidence intervals (CI) 0.62-0.98], followed by disease management clinics (DMCs) (ranking P-score 0.6368; RR 0.80, 95% CI 0.67-0.97). Among services that significantly decreased all-cause readmission, nurse home visits were most effective [ranking P-score 0.8365; incident rate ratio (IRR) 0.65, 95% CI 0.49-0.86], followed by nurse case management (NCM) (ranking P-score 0.6168; IRR 0.77, 95% CI 0.63-0.95), and DMCs (ranking P-score 0.5691; IRR 0.80, 95% CI 0.66-0.97). There was no significant difference in the comparative effectiveness of services that improved each outcome. Nurse home visits had the greatest pooled cost-savings (3810 USD, 95% CI 3682-3937), followed by NCM (3435 USD, 95% CI 3224-3645), and DMCs (245 USD, 95% CI -70 to 559). Telephone, telemonitoring, pharmacist, and education interventions did not significantly improve clinical outcomes.

CONCLUSION

Nurse home visits and DMCs decrease all-cause mortality after hospitalization for HF. Along with NCM, they also reduce all-cause readmissions, with no significant difference in comparative effectiveness. These services reduce healthcare system costs to varying degrees.

The effectiveness of the use of consumer health information technology in patients with heart failure: A meta-analysis and narrative review of randomized controlled trials

Purpose The purpose of this study was to examine whether the use of consumer health information technologies (CHITs) has an impact on outcomes of patients in the self-management of heart failure (HF). Methods A literature search of six electronic databases was conducted to identify relevant reports of randomized controlled trials (RCTs) for the analysis. Mortality, hospitalization and length of hospital stay were meta-analyzed and other patient outcomes were synthesized using a narrative approach. Results The literature search identified 50 studies, representing 43 RCTs, comparing the use of CHITs with usual care for HF patients. The meta-analysis showed that the use of CHITs reduced the risk of HF-caused mortality (relative risk (RR) = 0.70, 95% confidence interval (CI): 0.54-0.91), p = 0.007), lowered the risk of HF-caused hospitalization (RR = 0.80, 95% CI: 0.66-0.96), p = 0.020), and shortened HF-caused length of hospital stay (mean difference = -0.52, 95% CI: -0.77 to -0.27, p < 0.00), but not all-cause mortality, all-cause hospitalization or all-cause length of hospital stay, compared with usual care. The narrative synthesis indicated that only a small proportion of the trials reported positive effects of CHITs over usual care. Conclusions Evidence from RCTs presents mixed results on the impacts of CHITs for HF management. Further studies are required to assess whether and how CHITs would play a role in enhancing health care and patient outcomes and what specific CHIT features and functions are relevant to different HF treatment goals and self-care objectives.

Improving Heart Failure Outcomes in Ambulatory and Community Care: A Scoping Study

Despite a large body of literature testing interventions to improve heart failure care, care is often suboptimal. This scoping study assesses organizational interventions to improve heart failure outcomes in ambulatory settings. Fifty-two studies and systematic reviews assessing multicomponent, self-management support, and eHealth interventions were included. Studies dating from the 1990s demonstrated that multicomponent interventions could reduce hospitalizations, readmissions, mortality, and costs and improve quality of life. Self-management support appeared more effective when included in multicomponent interventions. The independent contribution of eHealth interventions remains unclear. No studies addressed management of comorbidities, geriatric syndromes, frailty, or end of life care. Few studies addressed risk stratification or vulnerable populations. Limited reporting about intervention components, implementation methods, and fidelity presents challenges in adapting this literature to scale interventions. The use of standardized reporting guidelines and study designs that produce more contextual evidence would better enable application of this work in health system redesign.

Assessing Risk and Preventing 30-Day Readmissions in Decompensated Heart Failure: Opportunity to Intervene?

Heart failure (HF) patients are at high risk of hospital readmission, which contributes to substantial health care costs. There is great interest in strategies to reduce rehospitalization for HF. However, many readmissions occur within 30 days of initial hospital discharge, presenting a challenge for interventions to be instituted in a short time frame. Potential strategies to reduce readmissions for HF can be classified into three different forms. First, patients who are at high risk of readmission can be identified even before their initial index hospital discharge. Second, ambulatory remote monitoring strategies may be instituted to identify early warning signs before acute decompensation of HF occurs. Finally, strategies may be employed in the emergency department to identify low-risk patients who may not need hospital readmission. If symptoms improve with initial therapy, low-risk patients could be referred to specialized, rapid outpatient follow-up care where investigations and therapy can occur in an outpatient setting.

Team-Based Care for External Telemonitoring in Patients with Heart Failure

Multiple studies have been conducted assessing strategies for managing heart failure with the goal of decreasing admissions and readmissions, decreasing mortality, increasing self-management, and improving quality of life. Telemonitoring has been explored as an intervention to support and monitor adherence to all aspects of the heart failure management plan, including medication and appointment adherence, diet, exercise, and self-care. This article addresses the findings of studies and provides recommendations for future consideration. The need to apply the right interventions, to the right patient, at the right time, based on self-efficacy and readiness to change is also addressed.

Mobile technology and the digitization of healthcare

The convergence of science and technology in our dynamic digital era has resulted in the development of innovative digital health devices that allow easy and accurate characterization in health and disease. Technological advancements and the miniaturization of diagnostic instruments to modern smartphone-connected and mobile health (mHealth) devices such as the iECG, handheld ultrasound, and lab-on-a-chip technologies have led to increasing enthusiasm for patient care with promises to decrease healthcare costs and to improve outcomes. This 'hype' for mHealth has recently intersected with the 'real world' and is providing important insights into how patients and practitioners are utilizing digital health technologies. It is also raising important questions regarding the evidence supporting widespread device use. In this state-of-the-art review, we assess the current literature of mHealth and aim to provide a framework for the advances in mHealth by understanding the various device, patient, and clinical factors as they relate to digital health from device designs and patient engagement, to clinical workflow and device regulation. We also outline new strategies for generation and analysis of mHealth data at the individual and population-based levels.

Comparison of partners-heart failure algorithm vs care alert in remote heart failure management

AIM: To compare the utility of the partners-heart failure (HF) algorithm with the care alert strategy for remote monitoring, in guiding clinical actions oriented to treat impending HF.

METHODS: Consecutive cardiac resynchronization-defibrillator recipients were followed with biweekly automatic transmissions. After every transmission, patients received a phone contact in order to check their health status, eventually followed by clinical actions, classified as “no-action”, “non-active” and “active”. Active clinical actions were oriented to treat impending HF. The sensitivity, specificity, positive and negative predictive values and diagnostic accuracy of the partners-HF algorithm vs care alert in determining active clinical actions oriented to treat pre-HF status and to prevent an acute decompensation, were also calculated.

RESULTS: The study population included 70 patients with moderate to advanced systolic HF and QRS duration longer than 120 ms. During a mean follow-up of 8 ± 2 mo, 665 transmissions were collected. No deaths or HF hospitalizations occurred. The sensitivity and specificity of the partners-HF algorithm for active clinical actions oriented to treat impending HF were 96.9% (95%CI: 0.96-0.98) and 92.5% (95%CI: 0.90-0.94) respectively. The positive and negative predictive values were 84.6% (95%CI: 0.82-0.87) and 98.6% (95%CI: 0.98-0.99) respectively. The partners-HF algorithm had an accuracy of 93.8% (95%CI: 0.92-0.96) in determining active clinical actions. With regard to active clinical actions, care alert had a sensitivity and specificity of 11.05% (95%CI: 0.09-0.13) and 93.6% respectively (95%CI: 0.92-0.95). The positive predictive value was 42.3% (95%CI: 0.38-0.46); the negative predictive value was 71.1% (95%CI: 0.68-0.74). Care alert had an accuracy of 68.9% (95%CI: 0.65-0.72) in determining active clinical actions.

CONCLUSION: The partners-HF algorithm proved higher accuracy and sensitivity than care alert in determining active clinical actions oriented to treat impending HF. Future studies in larger populations should evaluate partners-HF ability to improve HF-related clinical outcomes.

Interactive telemedicine: effects on professional practice and health care outcomes

BACKGROUND

Telemedicine (TM) is the use of telecommunication systems to deliver health care at a distance. It has the potential to improve patient health outcomes, access to health care and reduce healthcare costs. As TM applications continue to evolve it is important to understand the impact TM might have on patients, healthcare professionals and the organisation of care.

OBJECTIVES

To assess the effectiveness, acceptability and costs of interactive TM as an alternative to, or in addition to, usual care (i.e. face-to-face care, or telephone consultation).

SEARCH METHODS

We searched the Effective Practice and Organisation of Care (EPOC) Group's specialised register, CENTRAL, MEDLINE, EMBASE, five other databases and two trials registers to June 2013, together with reference checking, citation searching, handsearching and contact with study authors to identify additional studies.

SELECTION CRITERIA

We considered randomised controlled trials of interactive TM that involved direct patient-provider interaction and was delivered in addition to, or substituting for, usual care compared with usual care alone, to participants with any clinical condition. We excluded telephone only interventions and wholly automatic self-management TM interventions.

DATA COLLECTION AND ANALYSIS

For each condition, we pooled outcome data that were sufficiently homogenous using fixed effect meta-analysis. We reported risk ratios (RR) and 95% confidence intervals (CI) for dichotomous outcomes, and mean differences (MD) for continuous outcomes.

MAIN RESULTS

We included 93 eligible trials (N = 22,047 participants), which evaluated the effectiveness of interactive TM delivered in addition to (32% of studies), as an alternative to (57% of studies), or partly substituted for usual care (11%) as compared to usual care alone.The included studies recruited patients with the following clinical conditions: cardiovascular disease (36), diabetes (21), respiratory conditions (9), mental health or substance abuse conditions (7), conditions requiring a specialist consultation (6), co morbidities (3), urogenital conditions (3), neurological injuries and conditions (2), gastrointestinal conditions (2), neonatal conditions requiring specialist care (2), solid organ transplantation (1), and cancer (1).Telemedicine provided remote monitoring (55 studies), or real-time video-conferencing (38 studies), which was used either alone or in combination. The main TM function varied depending on clinical condition, but fell typically into one of the following six categories, with some overlap: i) monitoring of a chronic condition to detect early signs of deterioration and prompt treatment and advice, (41); ii) provision of treatment or rehabilitation (12), for example the delivery of cognitive behavioural therapy, or incontinence training; iii) education and advice for self-management (23), for example nurses delivering education to patients with diabetes or providing support to parents of very low birth weight infants or to patients with home parenteral nutrition; iv) specialist consultations for diagnosis and treatment decisions (8), v) real-time assessment of clinical status, for example post-operative assessment after minor operation or follow-up after solid organ transplantation (8) vi), screening, for angina (1).The type of data transmitted by the patient, the frequency of data transfer, (e.g. telephone, e-mail, SMS) and frequency of interactions between patient and healthcare provider varied across studies, as did the type of healthcare provider/s and healthcare system involved in delivering the intervention.We found no difference between groups for all-cause mortality for patients with heart failure (16 studies; N = 5239; RR:0.89, 95% CI 0.76 to 1.03, P = 0.12; I(2) = 44%) (moderate to high certainty of evidence) at a median of six months follow-up. Admissions to hospital (11 studies; N = 4529) ranged from a decrease of 64% to an increase of 60% at median eight months follow-up (moderate certainty of evidence). We found some evidence of improved quality of life (five studies; N = 482; MD:-4.39, 95% CI -7.94 to -0.83; P < 0.02; I(2) = 0%) (moderate certainty of evidence) for those allocated to TM as compared with usual care at a median three months follow-up. In studies recruiting participants with diabetes (16 studies; N = 2768) we found lower glycated haemoglobin (HbA1c %) levels in those allocated to TM than in controls (MD -0.31, 95% CI -0.37 to -0.24; P < 0.00001; I(2)= 42%, P = 0.04) (high certainty of evidence) at a median of nine months follow-up. We found some evidence for a decrease in LDL (four studies, N = 1692; MD -12.45, 95% CI -14.23 to -10.68; P < 0.00001; I(2 =) 0%) (moderate certainty of evidence), and blood pressure (four studies, N = 1770: MD: SBP:-4.33, 95% CI -5.30 to -3.35, P < 0.00001; I(2) = 17%; DBP: -2.75 95% CI -3.28 to -2.22, P < 0.00001; I(2) = 45% (moderate certainty evidence), in TM as compared with usual care.Seven studies that recruited participants with different mental health and substance abuse problems, reported no differences in the effect of therapy delivered over video-conferencing, as compared to face-to-face delivery. Findings from the other studies were inconsistent; there was some evidence that monitoring via TM improved blood pressure control in participants with hypertension, and a few studies reported improved symptom scores for those with a respiratory condition. Studies recruiting participants requiring mental health services and those requiring specialist consultation for a dermatological condition reported no differences between groups.

AUTHORS' CONCLUSIONS

The findings in our review indicate that the use of TM in the management of heart failure appears to lead to similar health outcomes as face-to-face or telephone delivery of care; there is evidence that TM can improve the control of blood glucose in those with diabetes. The cost to a health service, and acceptability by patients and healthcare professionals, is not clear due to limited data reported for these outcomes. The effectiveness of TM may depend on a number of different factors, including those related to the study population e.g. the severity of the condition and the disease trajectory of the participants, the function of the intervention e.g., if it is used for monitoring a chronic condition, or to provide access to diagnostic services, as well as the healthcare provider and healthcare system involved in delivering the intervention.

Interactive telemedicine: effects on professional practice and health care outcomes

BACKGROUND

Telemedicine (TM) is the use of telecommunication systems to deliver health care at a distance. It has the potential to improve patient health outcomes, access to health care and reduce healthcare costs. As TM applications continue to evolve it is important to understand the impact TM might have on patients, healthcare professionals and the organisation of care.

OBJECTIVES

To assess the effectiveness, acceptability and costs of interactive TM as an alternative to, or in addition to, usual care (i.e. face-to-face care, or telephone consultation).

SEARCH METHODS

We searched the Effective Practice and Organisation of Care (EPOC) Group's specialised register, CENTRAL, MEDLINE, EMBASE, five other databases and two trials registers to June 2013, together with reference checking, citation searching, handsearching and contact with study authors to identify additional studies.

SELECTION CRITERIA

We considered randomised controlled trials of interactive TM that involved direct patient-provider interaction and was delivered in addition to, or substituting for, usual care compared with usual care alone, to participants with any clinical condition. We excluded telephone only interventions and wholly automatic self-management TM interventions.

DATA COLLECTION AND ANALYSIS

For each condition, we pooled outcome data that were sufficiently homogenous using fixed effect meta-analysis. We reported risk ratios (RR) and 95% confidence intervals (CI) for dichotomous outcomes, and mean differences (MD) for continuous outcomes.

MAIN RESULTS

We included 93 eligible trials (N = 22,047 participants), which evaluated the effectiveness of interactive TM delivered in addition to (32% of studies), as an alternative to (57% of studies), or partly substituted for usual care (11%) as compared to usual care alone.The included studies recruited patients with the following clinical conditions: cardiovascular disease (36), diabetes (21), respiratory conditions (9), mental health or substance abuse conditions (7), conditions requiring a specialist consultation (6), co morbidities (3), urogenital conditions (3), neurological injuries and conditions (2), gastrointestinal conditions (2), neonatal conditions requiring specialist care (2), solid organ transplantation (1), and cancer (1).Telemedicine provided remote monitoring (55 studies), or real-time video-conferencing (38 studies), which was used either alone or in combination. The main TM function varied depending on clinical condition, but fell typically into one of the following six categories, with some overlap: i) monitoring of a chronic condition to detect early signs of deterioration and prompt treatment and advice, (41); ii) provision of treatment or rehabilitation (12), for example the delivery of cognitive behavioural therapy, or incontinence training; iii) education and advice for self-management (23), for example nurses delivering education to patients with diabetes or providing support to parents of very low birth weight infants or to patients with home parenteral nutrition; iv) specialist consultations for diagnosis and treatment decisions (8), v) real-time assessment of clinical status, for example post-operative assessment after minor operation or follow-up after solid organ transplantation (8) vi), screening, for angina (1).The type of data transmitted by the patient, the frequency of data transfer, (e.g. telephone, e-mail, SMS) and frequency of interactions between patient and healthcare provider varied across studies, as did the type of healthcare provider/s and healthcare system involved in delivering the intervention.We found no difference between groups for all-cause mortality for patients with heart failure (16 studies; N = 5239; RR:0.89, 95% CI 0.76 to 1.03, P = 0.12; I(2) = 44%) (moderate to high certainty of evidence) at a median of six months follow-up. Admissions to hospital (11 studies; N = 4529) ranged from a decrease of 64% to an increase of 60% at median eight months follow-up (moderate certainty of evidence). We found some evidence of improved quality of life (five studies; N = 482; MD:-4.39, 95% CI -7.94 to -0.83; P < 0.02; I(2) = 0%) (moderate certainty of evidence) for those allocated to TM as compared with usual care at a median three months follow-up. In studies recruiting participants with diabetes (16 studies; N = 2768) we found lower glycated haemoglobin (HbA1c %) levels in those allocated to TM than in controls (MD -0.31, 95% CI -0.37 to -0.24; P < 0.00001; I(2)= 42%, P = 0.04) (high certainty of evidence) at a median of nine months follow-up. We found some evidence for a decrease in LDL (four studies, N = 1692; MD -12.45, 95% CI -14.23 to -10.68; P < 0.00001; I(2 =) 0%) (moderate certainty of evidence), and blood pressure (four studies, N = 1770: MD: SBP:-4.33, 95% CI -5.30 to -3.35, P < 0.00001; I(2) = 17%; DBP: -2.75 95% CI -3.28 to -2.22, P < 0.00001; I(2) = 45% (moderate certainty evidence), in TM as compared with usual care.Seven studies that recruited participants with different mental health and substance abuse problems, reported no differences in the effect of therapy delivered over video-conferencing, as compared to face-to-face delivery. Findings from the other studies were inconsistent; there was some evidence that monitoring via TM improved blood pressure control in participants with hypertension, and a few studies reported improved symptom scores for those with a respiratory condition. Studies recruiting participants requiring mental health services and those requiring specialist consultation for a dermatological condition reported no differences between groups.

AUTHORS' CONCLUSIONS

The findings in our review indicate that the use of TM in the management of heart failure appears to lead to similar health outcomes as face-to-face or telephone delivery of care; there is evidence that TM can improve the control of blood glucose in those with diabetes. The cost to a health service, and acceptability by patients and healthcare professionals, is not clear due to limited data reported for these outcomes. The effectiveness of TM may depend on a number of different factors, including those related to the study population e.g. the severity of the condition and the disease trajectory of the participants, the function of the intervention e.g., if it is used for monitoring a chronic condition, or to provide access to diagnostic services, as well as the healthcare provider and healthcare system involved in delivering the intervention.

Evaluation of telehealth service for patients with congestive heart failure in the north of Israel

AIMS

This research was conducted to evaluate the impact of a telehealth service on re-hospitalization of patients with congestive heart failure at New York Heart Association II-IV.

METHODS AND RESULTS

The telehealth service for congestive heart failure patients was designed to follow the patients after their daily weighing and to provide a response in cases of non-compliance or deviation from baseline weight. A weighing scale was installed in the patient's house together with a communication module connected to the telemedicine control centre through a telephone line. The control centre is staffed by skilled nurses whose responses to patients are guided by programmed algorithm. Over a year, we evaluated the changes in the frequency of hospital admission and of primary care visits, and quality of life of 141 individuals who were eligible for the telehealth service for congestive heart failure. A decline was noted in the average number of hospitalizations per patient (from 4.7 to 2.6, p < 0.001). Scores of parameters of quality of life were improved (average score for first through fourth quarterly administration: 64, 50, 16, 16, p < 0.001 by the Minnesota Living with Heart Failure Questionnaire).

CONCLUSIONS

During the year of use in telehealth service for congestive heart failure parameters of hospitalization were improved, together with parameters of quality of life.

Effect of a diuretic adjustment algorithm and nonpharmacologic management in patients with heart failure: study protocol for a randomized controlled trial

Background

One of the challenges in treating patients with heart failure (HF) is achieving clinical stability and reducing the hospital readmission rate. A diuretic dose adjustment algorithm developed in the United States (Diuretic Treatment Algorithm, DTA) and later validated for use in Brazil (as the Algoritmo de Ajuste de Diurético, AAD) has proved feasible and readily applicable, but its effect on clinical outcomes has yet to be assessed. This report aims to describe a randomized clinical trial protocol designed to assess the effectiveness of the AAD and of nonpharmacologic management in improving clinical stability and reducing the readmission rate at 90 days in patients with HF.

Methods/Design

A PROBE (prospective randomized open blinded endpoint) parallel-group design will be used. Adult patients with a diagnosis of reduced ejection fraction HF, who are being treated at a specialized HF clinic are being recruited. Those with indications for loop diuretic dose adjustment during routine clinic visits will be randomized to take part in the trial. Participants in the intervention group (IG) shall have their diuretic doses adjusted in accordance with the AAD and receive four telephone calls (one per week) over 30 days to reinforce guidance on nonpharmacological management (fluid and sodium restriction). Participants in the control group (CG) shall have their diuretic doses adjusted by a physician during the first trial visit and shall not receive any telephone calls. Patients in both groups shall return at 1 month for face-to-face reassessment. The study endpoints shall comprise readmission and/or emergency department visits due to HF decompensation within 90 days and clinical instability. All participants shall be required to have a scale at home (or easy access to one), a telephone number, agree to telephone-based follow-up, and be available to return for a 1-month trial visit. Overall, 135 patients are expected to be enrolled in each group.

Discussion

This trial shall assess the effectiveness of the AAD algorithm and non-pharmacologic management by early identification of clinical deterioration and establishment of a combined intervention to reduce emergency department visits, readmission rate, or a composite endpoint thereof.

Trial registration number

ClinicalTrials.gov Identifier, NCT02068937 (23 February 2014).

Reducing Heart Failure Hospital Readmissions: A Systematic Review of Disease Management Programs

The recent enactment of the Patient Protection and Affordable Care Act which established the federal Hospital Readmissions Reduction Program (HRRP) has accelerated efforts to develop heart failure (HF) disease management programs (DMPs) that reduce readmissions in patients hospitalized for HF. This systematic review identified randomized controlled trials of HF DMPs which included home care, outpatient clinic interventions, structured telephone support, and non-invasive and invasive telemonitoring. These different types of DMPs have been associated with conflicting results. No specific type of DMP has produced consistent benefit in reducing HF hospitalizations. Although probably effective at reducing readmissions, home visits and outpatient clinic interventions have substantial limitations including cost and accessibility. Telemanagement has the potential to reach a large number of patients at a reasonable cost. Structured telephone support follow-up has been shown to significantly reduce HF readmissions, but does not significantly reduce all-cause mortality or all-cause hospitalization. A meta-analysis of 11 non-invasive telemonitoring studies demonstrated significant reductions in all-cause mortality and HF hospitalizations. Invasive telemonitoring is a potentially effective means of reducing HF hospitalizations, but only one study using pulmonary artery pressure monitoring was able to demonstrate a reduction in HF hospitalizations. Other studies using invasive hemodynamic monitoring have failed to demonstrate changes in rates of readmission or mortality. The efficacy of HF DMPs is associated with inconsistent results. Our review should not be interpreted to indicate that HF DMPs are universally ineffective. Rather, our data suggest that one approach applied to a broad spectrum of different patient types may produce an erratic impact on readmissions and clinical outcomes. HF DMPs should include the flexibility to meet the individualized needs of specific patients.

Aligning health information technologies with effective service delivery models to improve chronic disease care

OBJECTIVE

Healthcare reforms in the United States, including the Affordable Care and HITECH Acts, and the NCQA criteria for the Patient Centered Medical Home have promoted health information technology (HIT) and the integration of general medical and mental health services. These developments, which aim to improve chronic disease care, have largely occurred in parallel, with little attention to the need for coordination. In this article, the fundamental connections between HIT and improvements in chronic disease management are explored. We use the evidence-based collaborative care model as an example, with attention to health literacy improvement for supporting patient engagement in care.

METHOD

A review of the literature was conducted to identify how HIT and collaborative care, an evidence-based model of chronic disease care, support each other.

RESULTS

Five key principles of effective collaborative care are outlined: care is patient-centered, evidence-based, measurement-based, population-based, and accountable. The potential role of HIT in implementing each principle is discussed. Key features of the mobile health paradigm are described, including how they can extend evidence-based treatment beyond traditional clinical settings.

CONCLUSION

HIT, and particularly mobile health, can enhance collaborative care interventions, and thus improve the health of individuals and populations when deployed in integrated delivery systems.

The empirical foundations of telemedicine interventions for chronic disease management

The telemedicine intervention in chronic disease management promises to involve patients in their own care, provides continuous monitoring by their healthcare providers, identifies early symptoms, and responds promptly to exacerbations in their illnesses. This review set out to establish the evidence from the available literature on the impact of telemedicine for the management of three chronic diseases: congestive heart failure, stroke, and chronic obstructive pulmonary disease. By design, the review focuses on a limited set of representative chronic diseases because of their current and increasing importance relative to their prevalence, associated morbidity, mortality, and cost. Furthermore, these three diseases are amenable to timely interventions and secondary prevention through telemonitoring. The preponderance of evidence from studies using rigorous research methods points to beneficial results from telemonitoring in its various manifestations, albeit with a few exceptions. Generally, the benefits include reductions in use of service: hospital admissions/re-admissions, length of hospital stay, and emergency department visits typically declined. It is important that there often were reductions in mortality. Few studies reported neutral or mixed findings.

Device diagnostics and early identification of acute decompensated heart failure: a systematic review

BACKGROUND

Traditional methods of heart failure (HF) management are based on reactive strategies to treat late indicators of decompensated HF. Advances in monitoring methods have become available with the evolution of implantable cardioverter-defibrillators and cardiac-resynchronization therapy devices. These devices provide new diagnostic data and remote monitoring capabilities that allow clinicians to proactively monitor patients for earlier signs of worsening HF. The integration of data obtained from implantable cardioverter-defibrillator and cardiac-resynchronization therapy technology could improve outpatient HF care, potentially leading to decreased readmission rates and improved patient outcomes.

OBJECTIVE

This review will synthesize the literature regarding the efficacy of device diagnostic data and the usability of the data in the clinical setting.

METHODS

Articles for review were obtained using Cumulative Index to Nursing and Allied Health Literature, MEDLINE, PubMed, and ClinicalTrials.gov.

RESULTS

Device diagnostics showed strong correlation with established HF biomarkers and hemodynamic measures. The findings from this review indicate that device diagnostic parameters predict impending HF much earlier than traditional methods of monitoring do. Device diagnostics are also more accurate in the early prediction of HF when compared with noninvasive objective measures, particularly when multiple parameters are combined and monitored for trends. Device diagnostics possess a distinct advantage over traditional methods of monitoring for HF because they allow clinicians to remotely monitor the status of their HF patients without relying on patient compliance for data entry and reporting.

CONCLUSIONS

Studies regarding the efficacy of device diagnostic parameters suggest that their integration into clinical practice will provide a more accurate and reliable mechanism for assisting clinicians in risk stratifying and predicting potential episodes of decompensated HF.

Collaborative self-management and behavioral change

Behavioral change is critical for improving health outcomes in patients with chronic obstructive pulmonary disease. An educational approach alone is insufficient; changes in behavior, especially the acquisition of self-care skills, are also required. There is mounting evidence that embedding collaborative self-management (CSM) within existing health care systems provides an effective model to meet these needs. CSM should be integrated with pulmonary rehabilitation programs, one of the main goals of which is to induce long-term changes in behavior. More research is needed to evaluate the effectiveness of assimilating CSM into primary care, patient-centered medical homes, and palliative care teams.

A meta-analysis of remote patient monitoring for chronic heart failure patients

We carried out a meta analysis of remote patient monitoring (RPM) for chronic heart failure (CHF) patients. A literature search was used to identify randomised controlled trials with more than 40 patients, published between February 2003 and February 2013. The primary outcome (mortality) was analysed using a random effect model. Thirteen studies were included (3337 patients). RPM resulted in a significantly lower mortality (risk ratio 0.76; 95% confidence interval 0.62 to 0.93) compared to usual care. The test for heterogeneity showed that articles had been extracted homogeneously (I(2)=0%, P=0.67). In order to determine which RPM model was most effective, subgroup analyses were conducted by age, severity of illness, measurement frequency, medication management and speed of intervention. The group with rapid intervention had the lowest mortality (rapid group risk ratio=0.59, non-rapid group risk ratio=0.88, P=0.05). The group with high measurement frequency had lower mortality (high frequency group risk ratio=0.62, low frequency group risk ratio=0.89, P=0.07). The group with medication management had lower mortality (medication group risk ratio=0.65, non medication group risk ratio=0.85, P=0.19). RPM is effective in chronic heart failure and rapid intervention was the most important factor in the RPM model.

The role of continuous care in reducing readmission for patients with heart failure

INTRODUCTION

About 20-50% of patients with heart failure are readmitted to hospitals in 14 day to 6 months of hospital discharge. Several supportive programs are developed to reduce post discharge hospital readmissions. The present study was performed to review the clinical trials conducted to determine the effect of post-discharge follow-up on readmission of patients with heart failure (HF). 

METHODS

Internet search was conducted to identify clinical trial studies that have been conducted on post-discharge follow-up care for patients with HF. Databases of Science direct, Pubmed, Iranmedex, SID and also the Google's search engine were searched for studies that have been published between the years 1995 and 2013. Keywords used in searching Persian databases were included readmission, heart failure, continuous care, and follow-up. Keywords used in searching English databases were included of heart failure, readmission, follow-up and home monitoring.

RESULTS

21 clinical trials were reviewed. 16 studies have shown that continuous care through patient education before discharge, home visits, and telephone follow up could significantly reduce the rate of post discharge readmissions of patients with HF. However, five studies did not show significant reductions in post-discharge readmissions.

CONCLUSION

Patient education and continuous post-discharge follow up interventions conducted by nurses could significantly reduce the rates of readmissions to the hospital or to the physicians' office. Considering limited health care resources, using one or a combination of follow-up methods, can reduce the number of readmissions of patients with HF.

Multi-agent system as a new approach to effective chronic heart failure management: key considerations

Objectives

Given the importance of the follow-up of chronic heart failure (CHF) patients to reduce common causes of re-admission and deterioration of their status that lead to imposing spiritual and physical costs on patients and society, modern technology tools should be used to the best advantage. The aim of this article is to explain key points which should be considered in designing an appropriate multi-agent system to improve CHF management.

Methods

In this literature review articles were searched with keywords like multi-agent system, heart failure, chronic disease management in Science Direct, Google Scholar and PubMed databases without regard to the year of publications.

Results

Agents are an innovation in the field of artificial intelligence. Because agents are capable of solving complex and dynamic health problems, to take full advantage of e-Health, the healthcare system must take steps to make use of this technology. Key factors in CHF management through a multi-agent system approach must be considered such as organization, confidentiality in general aspects and design and architecture points in specific aspects.

Conclusions

Note that use of agent systems only with a technical view is associated with many problems. Hence, in delivering healthcare to CHF patients, considering social and human aspects is essential. It is obvious that identifying and resolving technical and non-technical challenges is vital in the successful implementation of this technology.