The impact of remote patient monitoring (telehealth) upon Medicare beneficiaries with heart failure

Associations Between Sociodemographic Factors And Interest in Remote Patient Monitoring Among Arkansas Residents

Introduction: Remote patient monitoring (RPM) has the power to transform health care delivery, as it allows for the digital transmission of individual health data to health care professionals, providing the most up-to-date information to be able to make medical decisions. Although RPM use has grown exponentially during the pandemic, there is limited information on the association between sociodemographic characteristics and interest in RPM use in underserved areas of the United States after the onset of the pandemic. Methods: We conducted a survey via random digit dialing of 2201 adults living in Arkansas in March of 2022. Weighted estimates were generated using rank ratio estimation to approximate the 2019 American Community Survey 1-year Arkansas estimates for race/ethnicity, age, and gender. We fit a partial proportional odds model using weighted generalized ordered logistic regression to examine adjusted odds ratios (ORs) for interest in RPM. Predictors included sociodemographic characteristics, nativity, health care access, and self-rated health. Results: Results indicate respondents who were age 60 or older had lower odds of interest in RPM than those between the ages 18-39 (OR = 0.61). Hispanic adults had lower odds of reporting interest in RPM (OR = 0.68), and non-Hispanic adults of other races/ethnicities had lower odds of reporting any interest at all (OR = 0.67) or interest greater than a little (OR = 0.67) in RPM compared with non-Hispanic White respondents. However, respondents who had previously used telehealth had greater odds of reporting higher levels of interest in RPM than those who had not previously used it (OR = 1.93). Discussion: Interest in RPM use is associated with several sociodemographic factors. Future work is needed to understand and address RPM reluctance and to increase interest in RPM among marginalized and underserved populations who may need these services.

The impact of telehealth care on escalation to emergency care: A systematic review and meta-analysis

OBJECTIVE

We compared the impact of accessing healthcare (1) by telehealth (via telephone or video) vs face-to-face; and (2) by telephone vs video telehealth care, on escalation to emergency care.

METHODS

We searched Medline, Embase and Cochrane CENTRAL to 24 July 2023; and conducted a citation analysis on 19 September 2023. We included randomised controlled trials. Risk of bias was assessed using Cochrane Tool 2. We calculated risk ratios for dichotomous outcomes and standardised mean difference for continuous outcomes.

RESULTS

Ten trials compared telehealth (five telephone, four video, one both) to face-to-face care. Six were overall low, three some concerns and one high risk of bias. There were no differences between telehealth and face-to-face for visits to the emergency department (RR 1.07, 95% CI 0.89 to 1.29), hospitalisations up to 12 months (RR 0.89, 95% CI 0.56 to 1.41), deaths or other adverse events. Costs of care were similar, as were patient satisfaction scores.Six trials compared telephone to video telehealth: three were overall low, two some concerns, and one high risk of bias. There were no differences between telephone and video for visits to the emergency department (RR 0.67, 95% CI 0.41 to 1.12), hospitalisations (RR 1.04, 95% CI 0.73 to 1.48), deaths, other adverse events, costs, or patient satisfaction. Healthcare provider satisfaction was high.

CONCLUSIONS

Telehealth care - delivered by telephone or by video - may be an appropriate alternative to face-to-face provision of care, as it does not increase the likelihood of escalation of care to the emergency department for patients in primary care, hospital outpatients, post-discharge patients or residents in aged care.

Toward alert triage: scalable qualitative coding framework for analyzing alert notes from the Telehealth Intervention Program for Seniors (TIPS)

Objective

Combined with mobile monitoring devices, telehealth generates overwhelming data, which could cause clinician burnout and overlooking critical patient status. Developing novel and efficient ways to correctly triage such data will be critical to a successful telehealth adoption. We aim to develop an automated classification framework of existing nurses' notes for each alert that will serve as a training dataset for a future alert triage system for telehealth programs.

Materials and Methods

We analyzed and developed a coding framework and a regular expression-based keyword match approach based on the information of 24 931 alert notes from a community-based telehealth program. We evaluated our automated alert triaging model for its scalability on a stratified sampling of 800 alert notes for precision and recall analysis.

Results

We found 22 717 out of 24 579 alert notes (92%) belonging to at least one of the 17 codes. The evaluation of the automated alert note analysis using the regular expression-based information extraction approach resulted in an average precision of 0.86 (SD = 0.13) and recall 0.90 (SD = 0.13).

Discussion

The high-performance results show the feasibility and the scalability potential of this approach in community-based, low-income older adult telehealth settings. The resulting coded alert notes can be combined with participants' health monitoring results to generate predictive models and to triage false alerts. The findings build steps toward developing an automated alert triaging model to improve the identification of alert types in remote health monitoring and telehealth systems.

Telehealth Use to Address Cardiovascular Disease and Hypertension in the United States: A Systematic Review and Meta-Analysis, 2011-2021

Background

The use of telehealth for the management and treatment of hypertension and cardiovascular disease (CVD) has increased across the United States (U.S.), especially during the COVID-19 pandemic. Telehealth has the potential to reduce barriers to accessing health care and improve clinical outcomes. However, implementation, outcomes, and health equity implications related to these strategies are not well understood. The purpose of this review was to identify how telehealth is being used by U.S. health care professionals and health systems to manage hypertension and CVD and to describe the impact these telehealth strategies have on hypertension and CVD outcomes, with a special focus on social determinants of health and health disparities.

Methods

This study comprised a narrative review of the literature and meta-analyses. The meta-analyses included articles with intervention and control groups to examine the impact of telehealth interventions on changes to select patient outcomes, including systolic and diastolic blood pressure. A total of 38 U.S.-based interventions were included in the narrative review, with 14 yielding data eligible for the meta-analyses.

Results

The telehealth interventions reviewed were used to treat patients with hypertension, heart failure, and stroke, with most interventions employing a team-based care approach. These interventions utilized the expertise of physicians, nurses, pharmacists, and other health care professionals to collaborate on patient decisions and provide direct care. Among the 38 interventions reviewed, 26 interventions utilized remote patient monitoring (RPM) devices mostly for blood pressure monitoring. Half the interventions used a combination of strategies (e.g., videoconferencing and RPM). Patients using telehealth saw significant improvements in clinical outcomes such as blood pressure control, which were comparable to patients receiving in-person care. In contrast, the outcomes related to hospitalizations were mixed. There were also significant decreases in all-cause mortality when compared to usual care. No study explicitly focused on addressing social determinants of health or health disparities through telehealth for hypertension or CVD.

Conclusions

Telehealth appears to be comparable to traditional in-person care for managing blood pressure and CVD and may be seen as a complement to existing care options for some patients. Telehealth can also support team-based care delivery and may benefit patients and health care professionals by increasing opportunities for communication, engagement, and monitoring outside a clinical setting.

Economic evaluation and costs of remote patient monitoring for cardiovascular disease in the United States: a systematic review

BACKGROUND

Remote patient monitoring (RPM) has emerged as a viable and valuable care delivery method to improve chronic disease management. In light of the high prevalence and substantial economic burden of cardiovascular disease (CVD), this systematic review examines the cost and cost-effectiveness of using RPM to manage CVD in the United States.

METHODS

We systematically searched databases to identify potentially relevant research. Findings were synthesized for cost and cost-effectiveness by economic study type with consideration of study perspective, intervention, clinical outcome, and time horizon. The methodological quality was assessed using the Joanna Briggs Institute Checklist for Economic Evaluations.

RESULTS

Thirteen articles with fourteen studies published between 2011 and 2021 were included in the final review. Studies from the provider perspective with a narrow scope of cost components identified higher costs and similar effectiveness for the RPM group relative to the usual care group. However, studies from payer and healthcare sector perspectives indicate better clinical effectiveness of RPM relative to usual care, with two cost-utility analysis studies suggesting that RPM relative to usual care is a cost-effective tool for CVD management even at the conservative $50,000 per Quality-Adjusted Life-Year threshold. Additionally, all model-based studies revealed that RPM is cost-effective in the long run.

CONCLUSIONS

Full economic evaluations identified RPM as a potentially cost-effective tool, particularly for long-term CVD management. In addition to the current literature, rigorous economic analysis with a broader perspective is needed in evaluating the value and economic sustainability of RPM.

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.

Scaling-up digital follow-up care services: collaborative development and implementation of Remote Patient Monitoring pilot initiatives to increase access to follow-up care

Background

COVID-19 increased the demand for Remote Patient Monitoring (RPM) services as a rapid solution for safe patient follow-up in a lockdown context. Time and resource constraints resulted in unplanned scaled-up RPM pilot initiatives posing risks to the access and quality of care. Scalability and rapid implementation of RPM services require social change and active collaboration between stakeholders. Therefore, a participatory action research (PAR) approach is needed to support the collaborative development of the technological component while simultaneously implementing and evaluating the RPM service through critical action-reflection cycles.

Objective

This study aims to demonstrate how PAR can be used to guide the scalability design of RPM pilot initiatives and the implementation of RPM-based follow-up services.

Methods

Using a case study strategy, we described the PAR team's (nurses, physicians, developers, and researchers) activities within and across the four phases of the research process (problem definition, planning, action, and reflection). Team meetings were analyzed through content analysis and descriptive statistics. The PAR team selected ex-ante pilot initiatives to reflect upon features feedback and participatory level assessment. Pilot initiatives were investigated using semi-structured interviews transcribed and coded into themes following the principles of grounded theory and pilot meetings minutes and reports through content analysis. The PAR team used the MoSCoW prioritization method to define the set of features and descriptive statistics to reflect on the performance of the PAR approach.

Results

The approach involved two action-reflection cycles. From the 15 features identified, the team classified 11 as must-haves in the scaled-up version. The participation was similar among researchers (52.9%), developers (47.5%), and physicians (46.7%), who focused on suggesting and planning actions. Nurses with the lowest participation (5.8%) focused on knowledge sharing and generation. The top three meeting outcomes were: improved research and development system (35.0%), socio-technical-economic constraints characterization (25.2%), and understanding of end-user technology utilization (22.0%).

Conclusion

The scalability and implementation of RPM services must consider contextual factors, such as individuals' and organizations' interests and needs. The PAR approach supports simultaneously designing, developing, testing, and evaluating the RPM technological features, in a real-world context, with the participation of healthcare professionals, developers, and researchers.

Left Ventricular Pressure Estimation Using Machine Learning-Based Heart Sound Classification

Objective

A method to estimate absolute left ventricular (LV) pressure and its maximum rate of rise (LV dP/dtmax) from epicardial accelerometer data and machine learning is proposed.

Methods

Five acute experiments were performed on pigs. Custom-made accelerometers were sutured epicardially onto the right ventricle, LV, and right atrium. Different pacing configurations and contractility modulations, using isoflurane and dobutamine infusions, were performed to create a wide variety of hemodynamic conditions. Automated beat-by-beat analysis was performed on the acceleration signals to evaluate amplitude, time, and energy-based features. For each sensing location, bootstrap aggregated classification tree ensembles were trained to estimate absolute maximum LV pressure (LVPmax) and LV dP/dtmax using amplitude, time, and energy-based features. After extraction of acceleration and pressure-based features, location specific, bootstrap aggregated classification ensembles were trained to estimate absolute values of LVPmax and its maximum rate of rise (LV dP/dtmax) from acceleration data.

Results

With a dataset of over 6,000 beats, the algorithm narrowed the selection of 17 predefined features to the most suitable 3 for each sensor location. Validation tests showed the minimal estimation accuracies to be 93% and 86% for LVPmax at estimation intervals of 20 and 10 mmHg, respectively. Models estimating LV dP/dtmax achieved an accuracy of minimal 93 and 87% at estimation intervals of 100 and 200 mmHg/s, respectively. Accuracies were similar for all sensor locations used.

Conclusion

Under pre-clinical conditions, the developed estimation method, employing epicardial accelerometers in conjunction with machine learning, can reliably estimate absolute LV pressure and its first derivative.

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.

mHealth education interventions in heart failure

BACKGROUND

Heart failure (HF) is a chronic disease with significant impact on quality of life and presents many challenges to those diagnosed with the condition, due to a seemingly complex daily regimen of self-care which includes medications, monitoring of weight and symptoms, identification of signs of deterioration and follow-up and interaction with multiple healthcare services. Education is vital for understanding the importance of this regimen, and adhering to it. Traditionally, education has been provided to people with heart failure in a face-to-face manner, either in a community or a hospital setting, using paper-based materials or video/DVD presentations. In an age of rapidly-evolving technology and uptake of smartphones and tablet devices, mHealth-based technology (defined by the World Health Organization as mobile and wireless technologies to achieve health objectives) is an innovative way to provide health education which has the benefit of being able to reach people who are unable or unwilling to access traditional heart failure education programmes and services.

OBJECTIVES

To systematically review and quantify the potential benefits and harms of mHealth-delivered education for people with heart failure.

SEARCH METHODS

We performed an extensive search of bibliographic databases and registries (CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, IEEE Xplore, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform (ICTRP) Search Portal), using terms to identify HF, education and mHealth. We searched all databases from their inception to October 2019 and imposed no restriction on language of publication.

SELECTION CRITERIA

We included studies if they were conducted as a randomised controlled trial (RCT), involving adults (≥ 18 years) with a diagnosis of HF. We included trials comparing mHealth-delivered education such as internet and web-based education programmes for use on smartphones and tablets (including apps) and other mobile devices, SMS messages and social media-delivered education programmes, versus usual HF care.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected studies, assessed risks of bias, and extracted data from all included studies. We calculated the mean difference (MD) or standardised mean difference (SMD) for continuous data and the odds ratio (OR) for dichotomous data with a 95% confidence interval (CI). We assessed heterogeneity using the I2 statistic and assessed the quality of evidence using GRADE criteria.

MAIN RESULTS

We include five RCTs (971 participants) of mHealth-delivered education interventions for people with HF in this review. The number of trial participants ranged from 28 to 512 participants. Mean age of participants ranged from 60 years to 75 years, and 63% of participants across the studies were men. Studies originated from Australia, China, Iran, Sweden, and The Netherlands. Most studies included participants with symptomatic HF, NYHA Class II - III. Three studies addressed HF knowledge, revealing that the use of mHealth-delivered education programmes showed no evidence of a difference in HF knowledge compared to usual care (MD 0.10, 95% CI -0.2 to 0.40, P = 0.51, I2 = 0%; 3 studies, 411 participants; low-quality evidence). One study assessing self-efficacy reported that both study groups had high levels of self-efficacy at baseline and uncertainty in the evidence for the intervention (MD 0.60, 95% CI -0.57 to 1.77; P = 0.31; 1 study, 29 participants; very low-quality evidence).Three studies evaluated HF self-care using different scales. We did not pool the studies due to the heterogenous nature of the outcome measures, and the evidence is uncertain. None of the studies reported adverse events. Four studies examined health-related quality of life (HRQoL). There was uncertainty in the evidence for the use of mHealth-delivered education on HRQoL (MD -0.10, 95% CI -2.35 to 2.15; P = 0.93, I2 = 61%; 4 studies, 942 participants; very low-quality evidence). Three studies reported on HF-related hospitalisation. The use of mHealth-delivered education may result in little to no difference in HF-related hospitalisation (OR 0.74, 95% CI 0.52 to 1.06; P = 0.10, I2 = 0%; 3 studies, 894 participants; low-quality evidence). We downgraded the quality of the studies due to limitations in study design and execution, heterogeneity, wide confidence intervals and fewer than 500 participants in the analysis.

AUTHORS' CONCLUSIONS

We found that the use of mHealth-delivered educational interventions for people with HF shows no evidence of a difference in HF knowledge; uncertainty in the evidence for self-efficacy, self-care and health-related quality of life; and may result in little to no difference in HF-related hospitalisations. The identification of studies currently underway and those awaiting classification indicate that this is an area of research from which further evidence will emerge in the short and longer term.

Implementation of a Heart Failure Telemonitoring System in Home Care Nursing: Feasibility Study

BACKGROUND

Telemonitoring (TM) of heart failure (HF) patients in a clinic setting has been shown to be effective if properly implemented, but little is known about the feasibility and impact of implementing TM through a home care nursing agency.

OBJECTIVE

This study aimed to determine the feasibility of implementing a mobile phone-based TM system through a home care nursing agency and to explore the feasibility of conducting a future effectiveness trial.

METHODS

A feasibility study was conducted by recruiting, through community cardiologists and family physicians, 10 to 15 HF patients who would use the TM system for 4 months by taking daily measurements of weight and blood pressure and recording symptoms. Home care nurses responded to alerts generated by the TM system through either a phone call and/or a home visit. Patients and their clinicians were interviewed poststudy to determine their perceptions and experiences of using the TM system.

RESULTS

Only one community cardiologist was recruited who was willing to refer patients to this study, even after multiple attempts were made to recruit further physicians, including family physicians. The cardiologist referred only 6 patients over a 6-month period, and half of the patients dropped out of the study. The identified barriers to implementing the TM system in home care nursing were numerous and led to the small recruitment in patients and clinicians and large dropout rate. These barriers included challenges in nurses contacting patients and physicians, issues related to retention, and challenges related to integrating the TM system into a complex home care nursing workflow. However, some potential benefits of TM through a home care nursing agency were indicated, including improved patient education, providing nurses with a better understanding of the patient's health status, and reductions in home visits.

CONCLUSIONS

Lessons learned included the need to incentivize physicians, to ensure streamlined processes for recruitment and communication, to target appropriate patient populations, and to create a core clinical group. Barriers encountered in this feasibility trial should be considered to determine their applicability when deploying innovations into different service delivery models.

An update on the CardioMEMS pulmonary artery pressure sensor

Heart failure (HF) is one of the most important healthcare issues due to its prevalence, high morbidity and mortality, as well as its economic burden. A shift in the healthcare model towards reducing inpatient hospitalizations might have a significant impact on HF-related costs and quality of life. Recently, wireless monitoring has begun to be an essential part of the management in the patient with HF. The CardioMEMS HF system is one of the best examples pertaining to the success in this field. This article will discuss the CardioMEMS HF system and the rationale behind its development.

Economic Impact of Chronic Heart Failure Management in Today's Cost-Conscious Environment

"Heart failure is a global pandemic that is becoming an increasingly common diagnosis due to aging of the population and increased longevity. Understanding the scope and costs of current heart failure management will lead to improved health economic decision making. Interventions to reduce spending in heart failure care have been centered on reduction of readmissions, improvement in transitions of care, and innovations in technology that have further improved quality of life. Technological advancements in outpatient monitoring offers the hope of further reducing morbidity, mortality, and cost in heart failure."

A Remote Patient Monitoring Intervention for Patients With Chronic Obstructive Pulmonary Disease and Chronic Heart Failure: Pre-Post Economic Analysis of the Smart Program

Background

Exacerbation of chronic obstructive pulmonary disease (COPD) and chronic heart failure (CHF) are associated with high health care costs owing to increased emergency room (ER) visits and hospitalizations. Remote patient monitoring (RPM) interventions aim to improve the monitoring of symptoms to detect early deterioration and provide self-management strategies. As a result, RPM aims to reduce health resource utilization. To date, studies have inconsistently reported the benefits of RPM in chronic illnesses. The Smart Program is an RPM intervention that aims to provide clinical benefit to patients and economic benefit to health care payers.

Objective

This study aims to economically evaluate the potential benefits of the Smart Program in terms of hospitalizations and ER visits and, thus, associated health care costs from the perspective of the public health care system.

Methods

Seventy-four patients diagnosed with COPD or CHF from one hospital site were included in this one-group, pre-post study. The study involved a secondary data analysis of deidentified data collected during the study period – from 3 months before program initiation (baseline), during the program, to 3 months after program completion (follow-up). Descriptive analysis was conducted for the study population characteristics at baseline, the clinical frailty score at baseline and 3-month follow-up, client satisfaction at 3-month follow-up, and number and costs of ER visits and hospitalizations throughout the study period. Furthermore, the cost of the Smart Program over a 3-month period was calculated from the perspective of the potential implementer.

Results

The baseline characteristics of the study population (N=74) showed that the majority of patients had COPD (50/74, 68%), were female (42/74, 57%), and had an average age of 72 (SD 12) years. Using the Wilcoxon signed-rank test, the number of ER visits and hospitalizations, including their associated costs, were significantly reduced between baseline and 3-month follow-up (P<.001). The intervention showed a potential 68% and 35% reduction in ER visits and hospitalizations, respectively, between the 3-month pre- and 3-month postintervention period. The average cost of ER visits reduced from Can $243 at baseline to Can $67 during the 3-month follow-up, and reduced from Can $3842 to Can $1399 for hospitalizations.

Conclusions

In this study, the number and cost of ER visits and hospitalizations appeared to be markedly reduced for patients with COPD or CHF when comparing data before and after the Smart Program implementation. Recognizing the limitations of the one-group, pre-post study design, RPM requires an upfront investment, but it has the potential to reduce health care costs to the system over time. This study represents another piece of evidence to support the potential value of RPM among patients with COPD or CHF.

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.

Impact of Transitional Care Services for Chronically Ill Older Patients: A Systematic Evidence Review

Transitions in care from hospital to primary care for older patients with chronic diseases (CD) are complex and lead to increased mortality and service use. In response to these challenges, transitional care (TC) interventions are being widely implemented. They encompass education on self-management, discharge planning, structured follow-up and coordination among the different healthcare professionals. We conducted a systematic review to determine the effectiveness of interventions targeting transitions from hospital to the primary care setting for chronically ill older patients.. Randomized controlled trials were identified through Medline, CINHAL, PsycInfo, EMBASE (1995-2015). Two independent reviewers performed the study selection, data extraction and assessment of study quality (Cochrane "Risk of Bias"). Risk differences (RD) and number needed to treat (NNT) or mean differences (MD) were calculated using a random-effects model. From 10,234 references, 92 studies were included. Compared to usual care, significantly better outcomes were observed: a lower mortality at 3 (RD: -0.02 [-0.05, 0.00]; NNT: 50), 6, 12 and 18 months post-discharge, a lower rate of ED visits at 3 months (RD: -0.08 [-0.15, -0.01]; NNT: 13), a lower rate of readmissions at 3 (RD: -0.08 [-0.14, -0.03]; NNT: 7), 6, 12 and 18 months and a lower mean of readmission days at 3 (MD: -1.33; [-2.15, -0.52]), 6, 12 and 18 months. No significant differences were observed in quality of life. In conclusion, TC improves transitions for older patients and should be included in the reorganization of healthcare services.

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.

What is the impact of systems of care for heart failure on patients diagnosed with heart failure: a systematic review

Background

Hospital admissions for heart failure are predicted to rise substantially over the next decade placing increasing pressure on the health care system. There is an urgent need to redesign systems of care for heart failure to improve evidence-based practice and create seamless transitions through the continuum of care. The aim of the review was to examine systems of care for heart failure that reduce hospital readmissions and/or mortality.

Method

Electronic databases searched were: Ovid MEDLINE, EMBASE, CINAHL, grey literature, reviewed bibliographies and Cochrane Central Register of Controlled Trials for randomised controlled trials, non-randomised trials and cohort studies from 1^st January 2008 to 4^th August 2015. Inclusion criteria for studies were: English language, randomised controlled trials, non-randomised trials and cohort studies of systems of care for patients diagnosed with heart failure and aimed at reducing hospital readmissions and/or mortality.

Three reviewer authors independently assessed articles for eligibility based on title and abstract and then full-text. Quality of evidence was assessed using Newcastle-Ottawa Scale for non-randomised trials and GRADE rating tool for randomised controlled trials.

Results

We included 29 articles reporting on systems of care in the workforce, primary care, in-hospital, transitional care, outpatients and telemonitoring. Several studies found that access to a specialist heart failure team/service reduced hospital readmissions and mortality. In primary care, a collaborative model of care where the primary physician shared the care with a cardiologist, improved patient outcomes compared to a primary physician only. During hospitalisation, quality improvement programs improved the quality of inpatient care resulting in reduced hospital readmissions and mortality. In the transitional care phase, heart failure programs, nurse-led clinics, and early outpatient follow-up reduced hospital readmissions. There was a lack of evidence as to the efficacy of telemonitoring with many studies finding conflicting evidence.

Conclusion

Redesigning systems of care aimed at improving the translation of evidence into clinical practice and transitional care can potentially improve patient outcomes in a cohort of patients known for high readmission rates and mortality.

A cost analysis of remote monitoring in a heart failure program

In this study, we examine the cost per outcomes of remote monitoring services in home health care. The methodology followed case matched design via retrospective chart reviews. Results of the chi-square test suggest that there were no significant associations between the intervention and hospital readmissions, χ² = (1, n = 210, p-value = .71, phi = .71). An independent t-test compared group means of the number of skilled nursing visits and agency costs, p-value of .002 and .000, respectively, favoring the standard of care group. Based on this data set, the home care agency lost $153.46 for each hospital readmission in the intervention group. The cost of care complicated the agency's resources through an increase in nursing visits without offsetting the agency's investment into technology; the cost did not support remote monitoring as a financially viable option to the standard of care.

Innovations in telemedicine for cardiovascular care

Cardiovascular disease is one of the main fields of application for telemedicine, with benefits in almost all areas in the continuum of cardiovascular disease. The greatest impact has been shown in the early diagnosis of cardiovascular disease, in second consultation, between non-cardiologist and cardiologist and between cardiologists, and in follow-up and secondary prevention of cardiovascular disease. At present, the main area of implementation for telemedicine in cardiovascular disease is represented by pre-hospital triage, with telemedicine electrocardiogram in acute myocardial infarction. Significant results have also been achieved in the second opinion consultation of pediatric subjects with congenital cardiovascular disease, home-monitoring and the management of patients affected by chronic heart failure or with an implanted device. However, there is significant room for further improvement in delivering telemedicine assistance even in 'very-remote' populations, such as detainees, patients in developing countries or in underdeveloped areas of developed countries.

Transitional Care for Patients With Congestive Heart Failure: A Systematic Review and Meta-Analysis

PURPOSE

We aimed to determine the impact of transitional care interventions (TCIs) on acute health service use by patients with congestive heart failure in primary care and to identify the most effective TCIs and their optimal duration.

METHODS

We conducted a systematic review and meta-analysis of randomized controlled trials, searching the Medline, PsycInfo, EMBASE, and Cochrane Library databases. We performed a meta-analysis to assess the impact of TCI on all-cause hospital readmissions and emergency department (ED) visits. We developed a taxonomy of TCIs based on intensity and assessed the methodologic quality of the trials. We calculated the relative risk (RR) and a 95% confidence interval for each outcome. We conducted a stratified analysis to identify the most effective TCIs and their optimal duration.

RESULTS

We identified 41 randomized controlled trials. TCIs significantly reduced risks of readmission and ED visits by 8% and 29%, respectively (relative risk = 0.92; 95% CI, 0.87-0.98; P = .006 and relative risk = 0.71; 95% CI, 0.51-0.98; P = .04). High-intensity TCIs (combining home visits with telephone followup, clinic visits, or both) reduced readmission risk regardless of the duration of follow-up. Moderate-intensity TCIs were efficacious if implemented for a longer duration (at least 6 months). In contrast, low-intensity TCIs, entailing only followup in outpatient clinics or telephone follow-up, were not efficacious.

CONCLUSIONS

Clinicians and managers who implement TCIs in primary care can incorporate these results with their own health care context to determine the optimal balance between intensity and duration of TCIs. High-intensity interventions seem to be the best option. Moderate-intensity interventions implemented for 6 months or longer may be another option.

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.

Telemedicine for cardiovascular disease continuum: A position paper from the Italian Society of Cardiology Working Group on Telecardiology and Informatics

Telemedicine is the provision of health care services, through the use of information and communication technology, in situations where the health care professional and the patient, or 2 health care professionals, are not in the same location. It involves the secure transmission of medical data and information, through text, sound, images, or other forms needed for the prevention, diagnosis, treatment, and follow-up of a patient. First data on implementation of telemedicine for the diagnosis and treatment of acute myocardial infarction date from more than 10 years ago. Telemedicine has a potential broad application to the cardiovascular disease continuum and in many branches of cardiology, at least including heart failure, ischemic heart disease and arrhythmias. Telemedicine might have an important role as part of a strategy for the delivery of effective health care for patients with cardiovascular disease. In this document the Working Group on Telecardiology and Informatics of the Italian Society of Cardiology intends to remark some key-points regarding potential benefit achievable with the implementation of telemedicine support in the continuum of cardiovascular disease.

Organisational interventions to reduce length of stay in hospital: a rapid evidence assessment

Background

Available evidence on effective interventions to reduce length of stay in hospital is wide-ranging and complex, with underlying factors including those acting at the health system, organisational and patient levels, and the interface between these. There is a need to better understand the diverse literature on reducing the length of hospital stay.

Objectives

This study sought to (i) describe the nature of interventions that have been used to reduce length of stay in acute care hospitals; (ii) identify the factors that are known to influence length of stay; and (iii) assess the impact of interventions on patient outcomes, service outcomes and costs.

Data sources

We searched MEDLINE (Ovid), EMBASE, the Health Management Information Consortium and System for Information on Grey Literature in Europe for the period January 1995 to January 2013 with no limitation of publication type.

Methods

We conducted a rapid evidence synthesis of the peer-reviewed literature on organisational interventions set in or initiated from acute hospitals. We considered evidence published between 2003 and 2013. Data were analysed drawing on the principles of narrative synthesis. We also carried out interviews with eight NHS managers and clinical leads in four sites in England.

Results

A total of 53 studies met our inclusion criteria, including 19 systematic reviews and 34 primary studies. Although the overall evidence base was varied and frequently lacked a robust study design, we identified a range of interventions that showed potential to reduce length of stay. These were multidisciplinary team working, for example some forms of organised stroke care; improved discharge planning; early supported discharge programmes; and care pathways. Nursing-led inpatient units were associated with improved outcomes but, if anything, increased length of stay. Factors influencing the impact of interventions on length of stay included contextual factors and the population targeted. The evidence was mixed with regard to the extent to which interventions seeking to reduce length of stay were associated with cost savings.

Limitations

We only considered assessments of interventions which provided a quantitative estimate of the impact of the given organisational intervention on length of hospital stay. There was a general lack of robust evidence and poor reporting, weakening the conclusions that can be drawn from the review.

Conclusions

The design and implementation of an intervention seeking to reduce (directly or indirectly) the length of stay in hospital should be informed by local context and needs. This involves understanding how the intervention is seeking to change processes and behaviours that are anticipated, based on the available evidence, to achieve desired outcomes (‘theory of change’). It will also involve assessing the organisational structures and processes that will need to be put in place to ensure that staff who are expected to deliver the intervention are appropriately prepared and supported. With regard to future research, greater attention should be given to the theoretical underpinning of the design, implementation and evaluation of interventions or programmes. There is a need for further research using appropriate methodology to assess the effectiveness of different types of interventions in different settings. Different evaluation approaches may be useful, and closer relationships between researchers and NHS organisations would enable more formative evaluation. Full economic costing should be undertaken where possible, including considering the cost implications for the wider local health economy.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Virtual house calls for Parkinson disease (Connect.Parkinson): study protocol for a randomized, controlled trial

Background

Interest in improving care for the growing number of individuals with chronic conditions is rising. However, access to care is limited by distance, disability, and distribution of doctors. Small-scale studies in Parkinson disease, a prototypical chronic condition, have suggested that delivering care using video house calls is feasible, offers similar clinical outcomes to in-person care, and reduces travel burden.

Methods/Design

We are conducting a randomized comparative effectiveness study (Connect.Parkinson) comparing usual care in the community to usual care augmented by virtual house calls with a Parkinson disease specialist. Recruitment is completed centrally using online advertisements and emails and by contacting physicians, support groups, and allied health professionals. Efforts target areas with a high proportion of individuals not receiving care from neurologists. Approximately 200 individuals with Parkinson disease and their care partners will be enrolled at 20 centers throughout the United States and followed for one year. Participants receive educational materials, then are randomized in a 1:1 ratio to continue their usual care (control arm) or usual care and specialty care delivered virtually (intervention arm). Care partners are surveyed about their time and travel burden and their perceived caregiver burden. Participants are evaluated via electronic survey forms and videoconferencing with a blinded independent rater at baseline and at 12 months. All study activities are completed remotely.

The primary outcomes are: (1) feasibility, as measured by the proportion of visits completed, and (2) quality of life, as measured by the 39-item Parkinson’s Disease Questionnaire. Secondary outcomes include measures of clinical benefit, quality of care, time and travel burden, and caregiver burden.

Discussion

Connect.Parkinson will evaluate the feasibility and effectiveness of using technology to deliver care into the homes of individuals with Parkinson disease. The trial may serve as a model for increasing access and delivering patient-centered care at home for individuals with chronic conditions.

Trial registration

This trial was registered on clinicaltrials.gov on January 8, 2014 [NCT02038959].

Electronic supplementary material

The online version of this article (doi:10.1186/1745-6215-15-465) contains supplementary material, which is available to authorized users.

Implementing guideline based heart failure care in the Northern Territory: challenges and solutions

The Northern Territory of Australia is a vast area serviced by two major tertiary hospitals. It has both a unique demography and geography, which pose challenges for delivering optimal heart failure services. The prevalence of congestive heart failure continues to increase, imposing a significant burden on health infrastructure and health care costs. Specific patient groups suffer disproportionately from increased disease severity or service related issues often represented as a "health care gap". The syndrome itself is characterised by ongoing symptoms interspersed with acute decompensation requiring lifelong therapy and is rarely reversible. For the individual client the overwhelming attention to heart failure care and the impact of health care gaps can be devastating. This gap may also contribute to widening socio-economic differentials for families and communities as they seek to take on some of the care responsibilities. This review explores the challenges of heart failure best practice in the Northern Territory and the opportunities to improve on service delivery. The discussions highlighted could have implications for health service delivery throughout regional centres in Australia and health systems in other countries.

Remote monitoring of heart failure patients

"The Teledactyl (Tele, far; Dactyl, finger--from the Greek) is a future instrument by which it will be possible for us to 'feel at a distance.' This idea is not at all impossible, for the instrument can be built today with means available right now. It is simply the well known telautograph, translated into radio terms, with additional refinements. The doctor of the future, by means of this instrument, will be able to feel his patient, as it were, at a distance...The doctor manipulates his controls, which are then manipulated at the patient's room in exactly the same manner. The doctor sees what is going on in the patient's room by means of a television screen." -Hugo Gernsback, Science and Invention Magazine, February 1925 Heart failure continues to be a major burden on our health care system. As the number of patients with heart failure increases, the cost of hospitalization alone is contributing significantly to the overall cost of this disease. Readmission rate and hospital length of stay are emerging as quality markers of heart failure care along with reimbursement policies that force hospitals to optimize these outcomes. Apart from maintaining quality assurance, the disease process of heart failure per-se requires demanding and close attention to vitals, diet, and medication compliance to prevent acute decompensation episodes. Remote patient monitoring is morphing into a key disease management strategy to optimize care for heart failure. Innovative implantable technologies to monitor intracardiac hemodynamics also are evolving, which potentially could offer better and substantial parameters to monitor.

A retrospective study on patient characteristics and telehealth alerts indicative of key medical events for heart failure patients at a home health agency

OBJECTIVE

To explore association of patient characteristics and telehealth alert data with all-cause key medical events (KMEs) of emergency department (ED) visits and hospitalizations as well as cardiac-related KMEs of ED visits, hospitalizations, and medication changes.

MATERIALS AND METHODS

A 6-month retrospective study was conducted of electronic patient records of heart failure (HF) patients using telehealth services at a Massachusetts home health agency. Data collected included patient demographic, psychosocial, disease severity factors and telehealth vital signs alerts. Association between patient characteristics and KMEs was analyzed by Generalized Estimating Equations.

RESULTS

The sample comprised 168 patients with a mean age of 83 years, 56% females, and 96% white. Ninety-nine cardiac-related KMEs and 87 all-cause KMEs were recorded for the subjects. Odds of a cardiac-related KME increased by 161% with the presence of valvular co-morbidity (p=0.001) and 106% with increased number of telehealth alerts (adjusted p<0.0001). Odds of an all-cause KME increased by 124% (p=0.02), 127% (p=0.01), and 70% (adjusted p<0.0001) with the presence of cancer co-morbidity, anxiety, and increased number of telehealth alerts, respectively. Overall, only 3% of all telehealth alerts were associated with KMEs.

CONCLUSIONS

The very low proportion of telehealth vital sign alerts associated with KMEs indicates that telehealth alerts alone cannot inform the need for intervention within the larger context of HF care delivery in the homecare setting. Patient-relevant data such as psychosocial and symptom status, involvement with HF self-management, and presence of co-morbidities could further inform the need for interventions for HF patients in the homecare setting.

Use of a homecare electronic health record to find associations between patient characteristics and re-hospitalizations in patients with heart failure using telehealth

Data from homecare electronic health records were used to explore the association of patient characteristics with re-hospitalizations of patients with heart failure (HF) during a 60-day period of telemonitoring following hospital discharge. Data from 403 Medicare patients with HF who had used telehealth from 2008 to 2010 were analysed. There were 112 all-cause (29%) and 73 cardiac-related (19%) re-hospitalizations within 60 days of the start of telemonitoring. In adjusted analyses, the patients' number of medications and type of cardiac medications were significantly (P < 0.05) associated with an increased risk of re-hospitalization. After stratifying the sample by illness severity, age and gender, other significant (P < 0.05) predictors associated with an increased risk of all-cause and cardiac re-hospitalization were psychiatric co-morbidity, pulmonary and obesity co-morbidities within gender, beta blocker prescription in females and primary HF diagnosis in the oldest age stratum. The study's findings may assist homecare agencies seeking to allocate resources without compromising patient care.