Remote monitoring after recent hospital discharge in patients with heart failure: a systematic review and network meta-analysis

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

AIMS

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

METHODS AND RESULTS

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

CONCLUSION

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

REGISTRATION

ClinicalTrials.gov: NCT04955600.

Association Between Participation in a Heart Failure Telemonitoring Program and Health Care Utilization and Death Within an Integrated Health Care Delivery System

BACKGROUND

The clinical usefulness of remote telemonitoring to reduce postdischarge health care use and death in adults with heart failure (HF) remains controversial.

METHODS AND RESULTS

Within a large integrated health care delivery system, we matched patients enrolled in a postdischarge telemonitoring intervention from 2015 to 2019 to patients not receiving telemonitoring at up to a 1:4 ratio on age, sex, and calipers of a propensity score. Primary outcomes were readmissions for worsening HF and all-cause death within 30, 90, and 365 days of the index discharge; secondary outcomes were all-cause readmissions and any outpatient diuretic dose adjustments. We matched 726 patients receiving telemonitoring to 1985 controls not receiving telemonitoring, with a mean age of 75 ± 11 years and 45% female. Patients receiving telemonitoring did not have a significant reduction in worsening HF hospitalizations (adjusted rate ratio [aRR] 0.95, 95% confidence interval [CI] 0.68-1.33), all-cause death (adjusted hazard ratio 0.60, 95% CI 0.33-1.08), or all-cause hospitalization (aRR 0.82, 95% CI 0.65-1.05) at 30 days, but did have an increase in outpatient diuretic dose adjustments (aRR 1.84, 95% CI 1.44-2.36). All associations were similar at 90 and 365 days postdischarge.

CONCLUSIONS

A postdischarge HF telemonitoring intervention was associated with more diuretic dose adjustments but was not significantly associated with HF-related morbidity and mortality.

Telehealth and Health Equity in Older Adults With Heart Failure: A Scientific Statement From the American Heart Association

Enhancing access to care using telehealth is a priority for improving outcomes among older adults with heart failure, increasing quality of care, and decreasing costs. Telehealth has the potential to increase access to care for patients who live in underresourced geographic regions, have physical disabilities or poor access to transportation, and may not otherwise have access to cardiologists with expertise in heart failure. During the COVID-19 pandemic, access to telehealth expanded, and yet barriers to access, including broadband inequality, low digital literacy, and structural barriers, prevented many of the disadvantaged patients from getting equitable access. Using a health equity lens, this scientific statement reviews the literature on telehealth for older adults with heart failure; provides an overview of structural, organizational, and personal barriers to telehealth; and presents novel interventions that pair telemedicine with in-person services to mitigate existing barriers and structural inequities.

The Long-Term Effect of Financial Penalties on 30-Day Hospital Readmission Rates

BACKGROUND

Although the immediate effect of financial penalties imposed by the Hospital Readmissions Reduction Program (HRRP) was a decrease in 30-day hospital readmission rates, the long-term effects are unclear. The authors studied 30-day readmissions before and immediately after HRRP penalties and during the most recent period before the COVID-19 pandemic and examined whether readmission trends differed between penalized and non-penalized hospitals.

METHODS

Centers for Medicare & Medicaid Services hospital archive data and US Census Bureau data were used to analyze hospital characteristics, including readmission penalty status, and hospital service area (HSA) demographic information, respectively. These two datasets were matched by HSA crosswalk files, available through the Dartmouth Atlas files. Using data from 2005-2008 as baseline, the authors examined hospital readmission trends before (2008-2011) and after penalties (during three periods: 2011-2014, 2014-2017, 2017-2019). Mixed linear models were used to examine readmission trends through periods, and differences by hospital penalty status without and with adjustment for hospital characteristics and HSA demographic information.

RESULTS

For all hospitals combined, rates for 2008-2011 vs. 2011-2014 were as follows: pneumonia, 18.6% vs. 17.0%; heart failure (HF), 24.8% vs. 22.0%; acute myocardial infarction (AMI), 19.7% vs. 17.0% (p < 0.001 for all three conditions). Rates for 2014-2017 vs. 2017-2019 were as follows: pneumonia, 16.8% vs. 16.8% (p = 0.87), HF, 21.7% vs. 21.9% (p < 0.001); AMI, 16.0% vs. 15.8% (p < 0.001). Compared to penalized hospitals, using difference-in-differences, non-penalized hospitals had a significantly greater increase for two conditions between the 2014-2017 and 2017-2019 periods: pneumonia 0.34%, p < 0.001; and HF 0.24%, p = 0.002.

CONCLUSION

Long-term readmission rates are lower than pre-HRRP rates, with recent trends decreasing further for AMI, stabilizing for pneumonia, and increasing for HF.

The effectiveness of tele-transitions of care interventions in high-risk older adults: A systematic review and meta-analysis

BACKGROUND

Chronically ill older patients are often vulnerable to detrimental health outcomes and have increased risk of preventable readmission. Tele-transitions of care interventions utilizing telecommunications and surveillance technologies help monitor patients' conditions after discharge to prevent negative health outcomes.

OBJECTIVES

This systematic review and meta-analysis aimed to identify and synthesize available evidence on the effectiveness of tele-transitions of care interventions on various health outcomes in older adults at high risk for readmission discharged from acute setting.

METHODS

Published, unpublished studies and gray literatures were identified through searching PubMed, Medline, Embase, PsycINFO, Cochrane Library, CINAHL, Scopus, ProQuest Dissertations and theses and Google Scholar from inception to December 2021. Only randomized controlled trials published in English language assessing tele-transitions of care interventions on high-risk older adults were included. Meta-analyses were performed using random-effects model in RevMan 5.4. Sensitivity and subgroup and narrative analyses were conducted.

RESULTS

Fourteen studies were included, of which thirteen were considered for meta-analyses. Tele-transitions of care interventions were effective in reducing readmission rate (RR = 0.59, 95%CI 0.50-0.69, z = 6.28, p < 0.00001), mortality rate (RR = 0.72, 95%CI 0.53-0.98, z = 2.12, p = 0.03), and improving health-related quality of life (SMD = 0.24, Z = 2.04, p = 0.04). However, reduction of emergency department visit (RR = 1.10, 95%CI 0.59-2.06, z = 0.31, p = 0.76) and improvement of functional status (SMD = -0.06, Z = 0.19, p = 0.85) was not observed following intervention. Subgroup analysis found that the positive effects of tele-transitions of care interventions persist up to 180 days even after the intervention.

CONCLUSION

This systematic review and meta-analysis concluded that tele-transitions of care interventions have promising effects on readmission, mortality rate and health-related quality of life. Tele-transitions of care interventions are cost-effective and suitable for large-scale implementation in healthcare settings.

REGISTRATION

The protocol was registered on PROSPERO (CRD42022295665).

TWEETABLE ABSTRACT

Systematic review demonstrates that monitoring older patients at high risk of readmission, following discharge from hospital, using telecommunication and surveillance technologies significantly reduces readmission and mortality rates and improves their quality of life.

Applying the COM-B Model to Understand the Drivers of Mistreatment During Childbirth: A Qualitative Enquiry Among Maternity Care Staff

INTRODUCTION

Respectful maternity care (RMC) during childbirth is an integral component of quality of care. However, women's experiences of mistreatment are prevalent in many low- and middle-income countries. This is a complex phenomenon that has not been well explored from a behavioral science perspective. We aimed to understand the behavioral drivers of mistreatment during childbirth among maternity care staff at public health facilities in the Sindh province of Pakistan.

METHODS

Applying the COM-B (capability-opportunity-motivation that leads to behavior change) model, we conducted semistructured in-depth interviews among clinical and nonclinical staff in public health facilities in Thatta and Sujawal, Sindh, Pakistan. Data were analyzed using thematic deductive analysis, and findings were synthesized using the COM-B model.

RESULTS

We identified several behavioral drivers of mistreatment during childbirth: (1) institutional guidelines on RMC and training opportunities were absent, resulting in a lack of providers' knowledge and skills; (2) facilities lacked the infrastructure to maintain patient privacy and confidentiality and did not permit males as birth companions; (3) lack of provider performance monitoring system and patient feedback mechanism contributed to providers not feeling appreciated or recognized. Staff bias against patients from lower castes contributed to patient abuse and mistreatment. The perspectives of clinical and nonclinical staff overlapped regarding potential drivers of mistreatment during childbirth.

CONCLUSIONS

Addressing mistreatment during childbirth requires improving the knowledge and capacity of maternity staff on RMC and psychosocial support to enhance their understanding of RMC. At the health facility level, governance and accountability mechanisms in routine supervision and monitoring of staff need to be improved. Patients' feedback should be incorporated for continuous improvement in providing maternity care services that meet patients' preferences and needs.

Current situation of telemedicine research for cardiovascular risk in Japan

Hypertension continues to be a principal risk factor for the occurrence of cardiovascular disorders, stroke, and kidney diseases. Although more than 40 million subjects suffer from hypertension in Japan, its optimal control is achieved only a subpopulation of patients, highlighting the need for novel approaches to manage this disorder. Toward the better control of blood pressure, the Japanese Society of Hypertension has developed the Future Plan, in which the application of the state-of-art information and communication technology, including web-based resources, artificial intelligence, and big data analysis, is considered as one of the promising solutions. In fact, the rapid advance of digital health technologies, as well as ongoing coronavirus disease 2019 pandemic, has triggered the structural changes in the healthcare system globally, increasing demand for the remote delivery of the medical services. Nonetheless, it is not entirely clear what evidence exists that support the widespread use of telemedicine in Japan. Here, we summarize the current status of telemedicine research, particularly in the field of hypertension and other cardiovascular risk factors. We note that there have been very few interventional studies in Japan that clearly showed the superiority or noninferiority of telemedicine over standard care, and that the methods of online consultation considerably varied among studies. Clearly, more evidence is necessary for wide implementation of telemedicine in hypertensive patients in Japan, and also those with other cardiovascular risk factors.

Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review

BACKGROUND

Home health monitoring shows promise in improving health outcomes; however, navigating the literature remains challenging given the breadth of evidence. There is a need to summarize the effectiveness of monitoring across health domains and identify gaps in the literature. In addition, ethical and user-centered frameworks are important to maximize the acceptability of health monitoring technologies.

OBJECTIVE

This review aimed to summarize the clinical evidence on home-based health monitoring through a scoping review and outline ethical and user concerns and discuss the challenges of the current user-oriented conceptual frameworks.

METHODS

A total of 2 literature reviews were conducted. We conducted a scoping review of systematic reviews in Scopus, MEDLINE, Embase, and CINAHL in July 2021. We included reviews examining the effectiveness of home-based health monitoring in older adults. The exclusion criteria included reviews with no clinical outcomes and lack of monitoring interventions (mobile health, telephone, video interventions, virtual reality, and robots). We conducted a quality assessment using the Assessment of Multiple Systematic Reviews (AMSTAR-2). We organized the outcomes by disease and summarized the type of outcomes as positive, inconclusive, or negative. Second, we conducted a literature review including both systematic reviews and original articles to identify ethical concerns and user-centered frameworks for smart home technology. The search was halted after saturation of the basic themes presented.

RESULTS

The scoping review found 822 systematic reviews, of which 94 (11%) were included and of those, 23 (24%) were of medium or high quality. Of these 23 studies, monitoring for heart failure or chronic obstructive pulmonary disease reduced exacerbations (4/7, 57%) and hospitalizations (5/6, 83%); improved hemoglobin A1c (1/2, 50%); improved safety for older adults at home and detected changing cognitive status (2/3, 66%) reviews; and improved physical activity, motor control in stroke, and pain in arthritis in (3/3, 100%) rehabilitation studies. The second literature review on ethics and user-centered frameworks found 19 papers focused on ethical concerns, with privacy (12/19, 63%), autonomy (12/19, 63%), and control (10/19, 53%) being the most common. An additional 7 user-centered frameworks were studied.

CONCLUSIONS

Home health monitoring can improve health outcomes in heart failure, chronic obstructive pulmonary disease, and diabetes and increase physical activity, although review quality and consistency were limited. Long-term generalized monitoring has the least amount of evidence and requires further study. The concept of trade-offs between technology usefulness and acceptability is critical to consider, as older adults have a hierarchy of concerns. Implementing user-oriented frameworks can allow long-term and larger studies to be conducted to improve the evidence base for monitoring and increase the receptiveness of clinicians, policy makers, and end users.

A telemonitoring programme in patients with heart failure in France: a cost-utility analysis

BACKGROUND

Certain telemedicine programmes for heart failure (HF) have been shown to reduce all-cause mortality and heart failure-related hospitalisations, but their cost-effectiveness remains controversial. The SCAD programme is a home-based interactive telemonitoring service for HF, which is one of the largest and longest-running telemonitoring programmes for HF in France. The objective of this cost-utility analysis was to evaluate the cost-effectiveness of the SCAD programme with respect to standard hospital-based care in patients with HF.

METHODS

A Markov model simulating hospitalisations and mortality in patients with HF was constructed to estimate outcomes and costs. The model included six distinct health states (three 'not hospitalised' states, two 'hospitalisation for heart failure' states, both depending on the number of previous hospitalisations, and one death state). The model lifetime in the base case was 10 years. Model inputs were based on published literature. Outputs (costs and QALYs) were compared between SCAD participants and standard care. Deterministic and probabilistic sensitivity analyses were performed to assess uncertainty in the input parameters of the model.

RESULTS

The number of quality-adjusted life years (QALYs) was 3.75 in the standard care setting and 4.41 in the SCAD setting. This corresponds to a gain in QALYs provided by the SCAD programme of 0.65 over the 10 years lifetime of the model. The estimated total cost was €30,932 in the standard care setting and €35,177 in the SCAD setting, with an incremental cost of €4245. The incremental cost-effectiveness ratio (ICER) for the SCAD programme over standard care was estimated at €4579/QALY. In the deterministic sensitivity analysis, the variables that had the most impact on the ICER were HF management costs. The likelihood of the SCAD programme being considered cost-effective was 90% at a willingness-to-pay threshold of €11,800.

CONCLUSIONS

Enrolment of patients into the SCAD programme is highly cost-effective. Extension of the programme to other hospitals and more patients would have a limited budget impact but provide important clinical benefits. This finding should also be taken into account in new public health policies aimed at encouraging a shift from inpatient to ambulatory care.

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.

Impact of a nurse-led teleconsultation strategy for cardiovascular disease management during COVID-19 pandemic in India: a pyramid model feasibility study

OBJECTIVE

The COVID-19 pandemic necessitated the use of telemedicine to maintain continuity of care for patients with cardiovascular diseases (CVDs). This study aimed to demonstrate the feasibility of implementing a nurse-led teleconsultation strategy for CVD management during the COVID-19 pandemic in India and evaluated the impact of nurse-led teleconsultations on patient treatment satisfaction.

DESIGN, SETTING AND PARTICIPANTS

We developed a two-stage teleconsultation strategy and tested the feasibility of implementing a nurse-led teleconsultation strategy to manage CVD in a northern state (Punjab) in India. A multidisciplinary team of experts developed the treatment protocol used for teleconsultations to manage CVD. Nurses were trained to provide teleconsultation, triaging of patients and referrals to the physicians. Patients with CVD who had an outpatient visit or hospitalisation between September 2019 and March 2020 at the Dayanand Medical College Hospital, Ludhiana, India, were contacted by phone and offered teleconsultations. Telemedicine strategy comprised: stage 1 nurse-led teleconsultations and stage 2 physician-led teleconsultations. Descriptive analysis was performed to report the proportion of patients triaged by the two-stage telemedicine strategy, and patient's clinical characteristics, and treatment satisfaction between the nurse-led versus physician-led teleconsultations.

RESULTS

Overall, nurse-led stage 1 teleconsultations were provided to 12 042 patients with CVD. The mean (SD) age of the participants was 58.9 years (12.8), and men were 65.4%. A relatively small proportion of patients (6.3%) were referred for the stage-2 physician-led teleconsultations and of these only 8.4% required hospitalisations. During stage 1 nurse-led teleconsultations, patients were referred to the physicians due to uncontrolled diabetes (24.9%), uncontrolled hypertension (18.7%) and congestive heart failure (16.2%). The patient's treatment satisfaction was similar between the nurse-led versus physician-led teleconsultations (p=0.07).

CONCLUSION

This study showed that a nurse-led telemedicine strategy is feasible to implement in a resource-constraint setting for triaging patients with CVD and reduces physician's burden.

Efficacy of telehealth in integrated chronic disease management for older, multimorbid adults with heart failure: A systematic review

BACKGROUND

We conducted a systematic review to assess the comparative efficacy of integrated telehealth versus other strategies of chronic disease management in older, multimorbid adults with heart failure (HF) in primary care and community settings. Specific efficacy outcomes included CVD-related hospitalizations, rehospitalizations, and mortality.

MATERIALS AND METHODS

We searched for randomized controlled trials (RCTs) in MEDLINE, Scopus, EMBASE, CINAHL, and CENTRAL from the date of each database's inception to January 2020. The literature search retrieved 9,181 articles, which were screened by two independent raters. Twenty-two of these articles were included in the systematic review. Data extraction, risk of bias assessment, and narrative synthesis followed article screening.

RESULTS

This systematic review found that integrated telehealth is efficacious in reducing CVD-related hospitalizations, rehospitalizations, and mortality in older, multimorbid adults within primary care and community settings. However, numerous discrepancies existed between the studies, due largely to differences in telehealth modalities and risk of bias. Overall, the combinations of modalities were so diverse that the reviewed literature did not suggest an optimal integrated telehealth strategy. At most, no more than three studies featured the same combination of telehealth modalities and outcomes. Furthermore, only 3 of the 22 included RCTs scored low on the Cochrane risk of bias tool.

CONCLUSIONS

Researchers should focus on the quality of future RCTs to better assess the efficacy of different telehealth modalities in multimorbid older adults with HF. Also, since all the included RCTs focused on HF, a knowledge gap exists with regard to the efficacy of using integrated telehealth to manage other cardiovascular diseases (CVD).

Home Telemonitoring of Patients With Type 2 Diabetes: A Meta-Analysis and Systematic Review

Telehealth has emerged as an evolving care management strategy that is playing an increasingly vital role, particularly with the onset of the coronavirus disease 2019 pandemic. A meta-analysis of 20 randomized controlled trials was conducted to test the effectiveness of home telemonitoring (HTM) in patients with type 2 diabetes in reducing A1C, blood pressure, and BMI over a median 180-day study duration. HTM was associated with a significant reduction in A1C by 0.42% (P = 0.0084). Although we found statistically significant changes in both systolic and diastolic blood pressure (-0.10 mmHg [P = 0.0041] and -0.07 mmHg [P = 0.044], respectively), we regard this as clinically nonsignificant in the context of HTM. Comparisons across different methods of transmitting vital signs suggest that patients logging into systems with moderate interaction with the technology platform had significantly higher reductions in A1C than those using fully automatic transmission methods or fully manual uploading methods. A1C did not vary significantly by study duration (from 84 days to 5 years). HTM has the potential to provide patients and their providers with timely, up-to-date information while simultaneously improving A1C.

A telehealth program benefits discharged patients with heart failure

BACKGROUND

Heart failure (HF) remains a major cause of mortality, hospitalisations, and poor quality of life. The mortality and readmission rate of HF patients after discharge are still high due to poor self-care and adherence, or inability to detect signs of deterioration. Telehealth programs may benefit a broad range of patients and reduce the suffering from HF. We aimed to investigate the impact of a 12-week telehealth program on outcomes among discharged patients with HF.

METHODS

Study population was consisted of 425 patients discharged between Jan 2020 to Aug 2020. All enrolled participants were diagnosed as HF and underwent standard treatments. At discharge, they were randomised into the telehealth or control group. The intervention was based on telephone support biweekly. After 12-week follow-up, patients' outcomes including mortality, readmission, disease condition, adherence, self-care behaviours, and mental health were compared between the groups.

RESULTS

The telehealth program significantly improved the HF symptoms in patients (p < 0.001). Patients in telehealth group showed better adherence compared to control (p = 0.002). Moreover, the intervention enhanced patients' self-care skills, indicated by the increased ratio of individuals knowing how to evaluate the cardiac function (p = 0.009) and purchasing medicines (p = 0.03). In addition, the telehealth program significantly improved the mental health status of patients (p = 0.03).

CONCLUSION

The telehealth program is beneficial for improving HF symptoms, adherence, self-care skills and mental health status of discharged patients and support the future use of this program to manage patients and reduce the burden attributed to the condition.

Home Telemonitoring to Reduce Readmission of High-Risk Patients: a Modified Intention-to-Treat Randomized Clinical Trial

BACKGROUND

Home telemonitoring has been used with discharged patients in an attempt to reduce 30-day readmissions with mixed results.

OBJECTIVE

To assess whether home 30-day telemonitoring after discharge for patients at high risk of readmission would reduce readmissions or mortality.

DESIGN

Prospective, randomized controlled trial.

PATIENTS

We compared 30-day readmission rates and mortality for patients at high risk for readmission who received home telemonitoring versus standard care between November 1, 2014, and November 30, 2018, in 2 tertiary care hospitals.

INTERVENTIONS

The intervention group received home-installed equipment to measure blood pressure, heart rate, pulse oximetry, weight if heart failure was present, and glucose if diabetes was present. Results were transmitted daily and reviewed by a nurse. Both groups received standard care.

MAIN MEASURES

The primary outcome was a composite end point of hospital readmission or death within 30 days after discharge. The secondary outcome was an emergency department visit within 30 days after discharge.

KEY RESULTS

A total of 1380 participants (mean [SD] age, 66 [14] years; 722 [52.3%] men and 658 [47.7%] women) participated in this study. Using a modified intention-to-treat analysis, the risk of readmission or death within 30 days among patients at high readmission risk was 23.7% (137/578) in the control group and 18.2% (87/477) in the telemonitoring group (absolute risk difference, - 5.5% [95% CI, - 10.4 to - 0.6%]; relative risk, 0.77 [95% CI, 0.61 to 0.98]; P = .03). Emergency department visits occurred within 30 days after discharge in 14.2% (81/570) of patients in the control group and 8.6% (40/464) of patients in the telemonitoring group (absolute risk difference, - 5.6% [95% CI, - 9.4 to - 1.8%]; relative risk, 0.61 [95% CI, 0.42 to 0.87]; P = .005).

CONCLUSIONS

Thirty days of postdischarge telemonitoring may reduce readmissions of high-risk patients.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT02136186.

Predictive performance and impact of algorithms in remote monitoring of chronic conditions: A systematic review and meta-analysis

BACKGROUND

The use of telehealth interventions, such as the remote monitoring of patient clinical data (e.g. blood pressure, blood glucose, heart rate, medication use), has been proposed as a strategy to better manage chronic conditions and to reduce the impact on patients and healthcare systems. The use of algorithms for data acquisition, analysis, transmission, communication and visualisation are now common in remote patient monitoring. However, their use and impact on chronic disease management has not been systematically investigated.

OBJECTIVES

To investigate the use, impact, and performance of remote monitoring algorithms across various types of chronic conditions.

METHODS

A literature search of MEDLINE complete, CINHAL complete, and EMBASE was performed using search terms relating to the concepts of remote monitoring, chronic conditions, and data processing algorithms. Comparable outcomes from studies describing the impact on process measures and clinical and patient-reported outcomes were pooled for a summary effect and meta-analyses. A comparison of studies reporting the predictive performance of algorithms was also conducted using the Youden Index.

RESULTS

A total of 89 articles were included in the review. There was no evidence of a positive impact on healthcare utilisation [OR 1.09 (0.90 to 1.31); P = .35] and mortality [OR 0.83 (0.63 to 1.10); P = .208], but there was a positive effect on generic health status [SDM 0.2912 (0.06 to 0.51); P = .010] and diabetes control [SDM -0.53 (-0.74 to -0.33); P < .001; I² = 15.71] (with two of the three diabetes studies being identified as having a high risk of bias). While the majority of impact studies made use of heuristic threshold-based algorithms (n = 27,87%), most performance studies (n = 36, 62%) analysed non-sequential machine learning methods. There was considerable variance in the quality, sample size and performance amongst these studies. Overall, algorithms involved in diagnosis (n = 22, 47%) had superior performance to those involved in predicting a future event (n = 25, 53%). Detection of arrythmia and ischaemia utilising ECG data showed particularly promising results.

CONCLUSION

The performance of data processing algorithms for the diagnosis of a current condition, particularly those related to the detection of arrythmia and ischaemia, is promising. However, there appears to exist minimal testing in experimental studies, with only two included impact studies citing a performance study as support for the intervention algorithm used. Because of the disconnect between performance and impact studies, there is currently limited evidence of the effect of integrating advanced inference algorithms in remote monitoring interventions. If the field of remote patient monitoring is to progress, future impact studies should address this disconnect by evaluating high performance validated algorithms in robust clinical trials.

Setting-Sensitive Conceptualization and Assessment of Quality of Life in Telemedical Care-Study Protocol of the Tele-QoL Project

Quality of life (QoL) is a core patient-reported outcome in healthcare research, alongside primary clinical outcomes. A conceptual, operational, and psychometric elaboration of QoL in the context of TM is needed, because standardized instruments to assess QoL do not sufficiently represent essential aspects of intended outcomes of telemedical applications (TM). The overall aim is to develop an instrument that can adequately capture QoL in TM. For that purpose, an extended working model of QoL will be derived. Subsequently, an instrument will be developed and validated that captures those aspects of QoL that are influenced by TM. The initial exploratory study section includes (a) a systematic literature review, (b) a qualitative survey for concept elicitation, and (c) pre-testings using cognitive debriefings with patients and an expert workshop. The second quantitative section consists of an online expert survey and two patient surveys for piloting and validation of the newly developed instrument. The resulting questionnaire will assess central experiences of patients regarding telemedical applications and its impact on QoL more sensitively. Its use as adjunct instrument will lead to a more appropriate evaluation of TM and contribute to the improvement of care tailored to patients’ individual needs.

Factors influencing the effectiveness of remote patient monitoring interventions: a realist review

OBJECTIVES

Our recent systematic review determined that remote patient monitoring (RPM) interventions can reduce acute care use. However, effectiveness varied within and between populations. Clinicians, researchers, and policymakers require more than evidence of effect; they need guidance on how best to design and implement RPM interventions. Therefore, this study aimed to explore these results further to (1) identify factors of RPM interventions that relate to increased and decreased acute care use and (2) develop recommendations for future RPM interventions.

DESIGN

Realist review-a qualitative systematic review method which aims to identify and explain why intervention results vary in different situations. We analysed secondarily 91 studies included in our previous systematic review that reported on RPM interventions and the impact on acute care use. Online databases PubMed, EMBASE and CINAHL were searched in October 2020. Included studies were published in English during 2015-2020 and used RPM to monitor an individual's biometric data (eg, heart rate, blood pressure) from a distance.

PRIMARY AND SECONDARY OUTCOME MEASURES

Contextual factors and potential mechanisms that led to variation in acute care use (hospitalisations, length of stay or emergency department presentations).

RESULTS

Across a range of RPM interventions 31 factors emerged that impact the effectiveness of RPM innovations on acute care use. These were synthesised into six theories of intervention success: (1) targeting populations at high risk; (2) accurately detecting a decline in health; (3) providing responsive and timely care; (4) personalising care; (5) enhancing self-management, and (6) ensuring collaborative and coordinated care.

CONCLUSION

While RPM interventions are complex, if they are designed with patients, providers and the implementation setting in mind and incorporate the key variables identified within this review, it is more likely that they will be effective at reducing acute hospital events.

PROSPERO REGISTRATION NUMBER

CRD42020142523.

Feasibility of patient-performed lung ultrasound self-exams (Patient-PLUS) as a potential approach to telemedicine in heart failure

Aims

Patient‐performed lung ultrasound (LUS) in a heart failure (HF) telemedicine model may be used to monitor worsening pulmonary oedema and to titrate therapy, potentially reducing HF admission. The aim of the study was to assess the feasibility of training HF patients to perform a LUS self‐exam in a telemedicine model.

Methods and results

A pilot study was conducted at a public hospital involving subjects with a history of HF. After a 15 min training session involving a tutorial video, subjects performed a four‐zone LUS using a handheld ultrasound. Exams were saved on a remote server and independently reviewed by two LUS experts. Studies were determined interpretable according to a strict definition: the presence of an intercostal space, and the presence of A‐lines, B‐lines, or both. Subjects also answered a questionnaire to gather feedback and assess self‐efficacy. The median age of 44 subjects was 53 years (range, 36–64). Thirty (68%) were male. Last educational level attained was high school or below for 31 subjects (70%), and one‐third used Spanish as their preferred language. One hundred fifty of 175 lung zones (85%) were interpretable, with expert agreement of 87% and a kappa of 0.49. 98% of subjects reported that they could perform this LUS self‐exam at home.

Conclusions

This pilot study reports that training HF patients to perform a LUS self‐exam is feasible, with reported high self‐efficacy. This supports further investigation into a telemedicine model using LUS to reduce emergency department visits and hospitalizations associated with HF.

Same same-but different: using qualitative studies to inform concept elicitation for quality of life assessment in telemedical care: a request for an extended working model

Background

Although telemedical applications are increasingly used in the area of both mental and physical illness, there is no quality of life (QoL) instrument that takes into account the specific context of the healthcare setting. Therefore, the aim of this study was to determine a concept of quality of life in telemedical care to inform the development of a setting-sensitive patient-reported outcome measure.

Methods

Overall, 63 semi-structured single interviews and 15 focus groups with 68 participants have been conducted to determine the impact of telemedical care on QoL. Participants were patients with chronic physical or mental illnesses, with or without telemedicine supported healthcare as well as telemedical professionals. Mayring's content analysis approach was used to encode the qualitative data using MAXQDA software.

Results

The majority of aspects that influence the QoL of patients dealing with chronic conditions or mental illnesses could be assigned to an established working model of QoL. However, some aspects that were considered important (e. g. perceived safety) were not covered by the pre-existing domains. For that reason, we re-conceptualized the working model of QoL and added a sixth domain, referred to as healthcare-related domain.

Conclusion

Interviewing patients and healthcare professionals brought forth specific aspects of QoL evolving in telemedical contexts. These results reinforce the assumption that existing QoL measurements lack sensitivity to assess the intended outcomes of telemedical applications. We will address this deficiency by a telemedicine-related re-conceptualization of the assessment of QoL and the development of a suitable add-on instrument based on the resulting category system of this study.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-021-01807-8.

Influential Factors in Remote Monitoring of Heart Failure Patients: A Review of the Literature and Direction for Future Research

With new advances in technology, remote monitoring of heart failure (HF) patients has become increasingly prevalent and has the potential to greatly enhance the outcome of care. Many studies have focused on implementing systems for the management of HF by analyzing physiological signals for the early detection of HF decompensation. This paper reviews recent literature exploring significant physiological variables, compares their reliability in predicting HF-related events, and examines the findings according to the monitored variables used such as body weight, bio-impedance, blood pressure, heart rate, and respiration rate. The reviewed studies identified correlations between the monitored variables and the number of alarms, HF-related events, and/or readmission rates. It was observed that the most promising results came from studies that used a combination of multiple parameters, compared to using an individual variable. The main challenges discussed include inaccurate data collection leading to contradictory outcomes from different studies, compliance with daily monitoring, and consideration of additional factors such as physical activity and diet. The findings demonstrate the need for a shared remote monitoring platform which can lead to a significant reduction of false alarms and help in collecting reliable data from the patients for clinical use especially for the prevention of cardiac events.

Trends in 30- and 90-Day Readmission Rates for Heart Failure

BACKGROUND

The impact of hospital readmission reduction program (HRRP) on heart failure (HF) outcomes has been debated. Limited data exist regarding trends of HF readmission rates beyond 30 days from all-payer sources. The aim of this study was to investigate temporal trends of 30- and 90-day HF readmissions rates from 2010 to 2017 in patients from all-payer sources.

METHODS

The National Readmission Database was utilized to identify HF hospitalizations between 2010 and 2017. In the primary analysis, a linear trend in 30-day and 90-day readmissions from 2010 to 2017 was assessed. While in the secondary analysis, a change in aggregated 30- and 90-day all-cause and HF-specific readmissions pre-HRRP penalty phase (2010-2012) and post-HRRP penalties (2013-2017) was compared. Subgroup analyses were performed based on (1) Medicare versus non-Medicare insurance, (2) low versus high HF volume, and (3) HF with reduced versus preserved ejection fraction (heart failure with reduced ejection fraction and heart failure with preserved ejection fraction). Multiple logistic and adjusted linear regression analyses were performed for annual trends.

RESULTS

A total of 6 669 313 index HF hospitalizations for 30-day, and 5 077 949 index HF hospitalizations for 90-day readmission, were included. Of these, 1 213 402 (18.2%) encounters had a readmission within 30 days, and 1 585 445 (31.2%) encounters had a readmission within 90 days. Between 2010 and 2017, both 30 and 90 days adjusted HF-specific and all-cause readmissions increased (8.1% to 8.7%, P trend 0.04, and 18.3% to 19.9%, P trend <0.001 for 30-day and 14.8% to 16.0% and 30.9% to 34.6% for 90-day, P trend <0.001 for both, respectively). Readmission rates were higher during the post-HRRP penalty period compared with pre-HRRP penalty phase (all-cause readmission 30 days: 18.6% versus 17.5%, P<0.001, all-cause readmission 90 days: 32.0% versus 29.9%, P<0.001) across all subgroups except among the low-volume hospitals.

CONCLUSIONS

The rates of adjusted HF-specific and all-cause 30- and 90-day readmissions have increased from 2010 to 2017. Readmissions rates were higher during the HRRP phase across all subgroups except the low-volume hospitals.

Remote monitoring of implantable cardiac devices in heart failure patients: a systematic review and meta-analysis of randomized controlled trials

This study aims to determine whether the use of remote monitoring (RM) in implantable cardiac devices decreases all-cause mortality and heart failure (HF)-related hospitalization. We sought to conduct a systematic review and a meta-analysis of published randomized controlled studies. The population is adult patients with a diagnosis of HF with implantable devices. The intervention is RM using implantable cardiac devices whether added or used alone compared to standard of care. The outcomes are HF-related hospitalization and all-cause mortality. Risk of bias was assessed using the criteria defined in the Revised Cochrane Collaboration's tool for assessment of risk of bias. Data were extracted and validity was assessed independently by two reviewers. Electronic databases EMBASE and MEDLINE (Ovid) were searched up to 14th of October 2019, supplemented by a second search in CENTRAL (Cochrane Central Register of Controlled Trials) and clinicaltrials.gov. Only randomized controlled studies published in peer-reviewed journals with full format text in English of adult HF patients with a minimum follow-up of 6 months reporting mortality and/or hospitalization. Observational studies and studies that did not meet inclusion criteria were excluded. Thirteen randomized controlled studies that enrolled a total of 7015 patients were identified, 7 of which reported on all-cause mortality only and included 4460 patients. Compared with standard of care, the pooled relative risk (RR) of all-cause mortality and HF-related hospitalization in patients with RM compared to those receiving standard of care was 0.88 (95% confidence interval (CI) 0.69 to 1.11) and 0.95 (95% CI 0.78-1.16), respectively. In the subgroup analysis, using pulmonary pressure for RM was associated with a decrease in HF-related hospitalization (RR 0.73; 95% CI 0.60-0.88). RM showed benefit in reducing HF-related hospitalization when compared to standard of care only when using pulmonary pressure monitoring.

Effectiveness of telemedicine systems for adults with heart failure: a meta-analysis of randomized controlled trials

Despite favorable effects from telemedicine (TM) on cardiovascular diseases, outcome and comparative impact of TM on heart failure (HF) adults remain controversial. A meta-analysis was conducted to summarize the evidence from existing randomized controlled trials (RCTs) which compared potential impact of TM on HF with conventional healthcare. TM mainly included structure telephone support (STS), involving interactive vocal response monitoring and telemonitoring. PubMed, MEDLINE, EMBASE, and the Cochrane Library were searched to identify RCTs to fit our analysis (1999 to 2018). Odds ratio (OR) with its 95% confidence interval (CI) was used. Sensitivity analysis, subgroup analysis, and tests for publication bias were conducted. Heterogeneities were also evaluated by I² tests. A total of 29 RCTs consisting of 10,981 HF adults were selected for meta-level synthesis, with follow-up range of 1-36 months. Telemonitoring is associated with the reduction in total number of all-cause hospitalization (OR 0.82, 95% CI 0.73-0.91, P = 0.0004) and cardiac hospitalization (OR 0.83, 95% CI 0.72-0.95, P = 0.007). Telemonitoring resulted in statistically significant risk reduction of all-cause mortality (OR 0.75, 95% CI 0.62-0.90, P = 0.003). However, the OR of HF-related mortality (OR 0.84, 95% CI 0.61-1.16, P = 0.28) is not significantly distinguishable from that of conventional healthcare. Receiving STS interventions is likely to reduce the hospitalization for all causes (OR 0.86, 95% CI 0.78-0.96, P = 0.006, I² = 6%) and the hospitalization due to HF (OR 0.74, 95% CI 0.65-0.85, P < 0.0001, I² = 0%), compared with interventions from conventional healthcare. OR of all-cause STS mortality (OR 0.96, 95% CI 0.83-1.11, P = 0.55) was identified in meta-analyses of eight cases. OR of STS cardiac mortality (OR 0.54, 95% CI 0.34-0.86, P = 0.009) was identified in meta-analyses of three cases. This work represents the comprehensive application of network meta-analysis to examine the comparative effectiveness of telemedicine interventions in improving HF patient outcomes. Compared with conventional healthcare, telemedicine systems with medical support prove to be more effective for HF adults, particularly in reducing all-cause hospitalization, cardiac hospitalization, all-cause mortality, cardiac mortality, and length of stay. While further research is required to confirm these observational findings and identify optimal telemedicine strategies and the duration of follow-up for which it confers benefits.

Peri-discharge complex interventions for reducing 30-day hospital readmissions among heart failure patients: overview of systematic reviews and network meta-analysis

AIMS

An overview of systematic reviews (SRs) and network meta-analysis (NMA) was conducted to synthesize evidence of comparative effectiveness of different peri-discharge complex interventions for reducing 30-day hospital readmissions among heart failure (HF) patients.

METHODS

We searched five databases for SRs from their inception to August 2019 and conducted additional search for randomized controlled trials (RCTs) published between 2003 and 2020. We used random-effect pairwise meta-analysis with pooled risk ratios (RRs) and 95% confidence intervals (CIs) to quantify the effect of complex interventions, and NMA to evaluate comparative effectiveness among complex interventions. Primary outcome was 30-day all-cause hospital readmissions, while secondary outcomes were 30-day HF-related hospital readmissions, 30-day mortality, and 30-day emergency department visits.

RESULTS

From 20 SRs and additional RCT search, 21 eligible RCTs (n = 5362) assessing eight different peri-discharge complex interventions were included. Pairwise meta-analysis showed no significant difference between peri-discharge complex interventions and controls on all outcomes, except that peri-discharge complex interventions were significantly more effective than controls in reducing 30-day mortality (pooled RR = 0.68, 95% CI: 0.49-0.95, 5 RCTs). NMA indicated that for reducing 30-day all-cause hospital readmissions, supportive-educative intervention had the highest probability to be the best intervention, followed by disease management; while for reducing 30-day HF-related hospital readmissions, disease management is likely to be the best intervention.

CONCLUSIONS

Our results suggest that disease management has the best potential to reduce 30-day all-cause and HF-related hospital readmissions. Benefits of the interventions may vary across health system contexts. Evidence-based complex interventions require local adaptation prior to implementation.

Effectiveness of Mobile Health Technology Interventions for Patients With Heart Failure: Systematic Review and Meta-analysis

BACKGROUND

Heart failure (HF) is a complex and serious condition associated with substantial morbidity, mortality, and health care costs. We conducted a systematic review and meta-analysis to evaluate the effects of mobile health (mHealth) interventions compared with usual care in patients with HF.

METHODS

We searched MEDLINE, CENTRAL, CINAHL, and EMBASE databases to identify eligible randomized controlled trials (RCTs) of mHealth interventions. Primary outcomes included: all-cause mortality, cardiovascular mortality, HF-related hospitalizations, and all-cause hospitalizations. Meta-analyses using a random effects model were performed for all outcomes. Risk of bias and quality of evidence were evaluated using the Cochrane Tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework.

RESULTS

Sixteen RCTs involving 4389 patients were included. Compared with usual care, mHealth interventions reduced the risk of all-cause mortality (risk ratio [RR], 0.80; 95% confidence interval [CI], 0.65-0.97; absolute risk reduction [ARR], 2.1%; high-quality evidence), cardiovascular mortality (RR, 0.70; 95% CI, 0.53-0.91; ARR, 2.9%; high-quality evidence), and HF hospitalizations (RR, 0.77; 95% CI, 0.67-0.88; ARR, 5%; high-quality evidence), but had no effect on all-cause hospitalizations. Results were driven by mHealth interventions with remote monitoring and clinical feedback, which were associated with larger reductions than stand-alone mHealth interventions. However, subgroup differences were not statistically significant.

CONCLUSIONS

mHealth interventions with remote monitoring and clinical feedback reduce mortality and HF-related hospitalizations, but might not reduce all-cause hospitalizations in patients with HF. Additional studies are needed to determine the efficacy of stand-alone mHealth interventions as well as active features of mHealth that contribute to efficacy.

Role of New Technologies in Supporting the Treatment of Complex Patients

Cardiology represents one of the privileged disciplinary areas for the experimentation and validation of the applications of telemedicine. Telemedicine, and the health technologies that go by the name of eHealth, identify the digital exchange of social and health information in order to support and optimize the care process remotely. Telemonitoring applied to cardiovascular diseases is defined as the recording, remote transmission, storage, and interpretation of cardiovascular parameters and diagnostic images. Meta-analyses have shown that telemedicine-supported models of care not only are effective but also cost-effective.

Use of a Bluetooth tablet-based technology to improve outcomes in lung transplantation: A pilot study

The impact of remote patient monitoring platforms to support the postoperative care of solid organ transplant recipients is evolving. In an observational pilot study, 28 lung transplant recipients were enrolled in a novel postdischarge home monitoring program and compared to 28 matched controls during a 2-year period. Primary endpoints included hospital readmissions and total days readmitted. Secondary endpoints were survival and inflation-adjusted hospital readmission charges. In univariate analyses, monitoring was associated with reduced readmissions (incidence rate ratio [IRR]: 0.56; 95% confidence interval [CI]: 0.41-0.76; P < .001), days readmitted (IRR: 0.46; 95% CI: 0.42-0.51; P < .001), and hospital charges (IRR: 0.52; 95% CI: 0.51-0.54; P < .001). Multivariate analyses also showed that remote monitoring was associated with lower incidence of readmission (IRR: 0.38; 95% CI: 0.23-0.63; P < .001), days readmitted (IRR: 0.14; 95% CI: 0.05-0.37; P < .001), and readmission charges (IRR: 0.11; 95% CI: 0.03-0.46; P = .002). There were 2 deaths among monitored patients compared to 6 for controls; however, this difference was not significant. This pilot study in lung transplant recipients suggests that supplementing postdischarge care with remote monitoring may be useful in preventing readmissions, reducing subsequent inpatient days, and controlling hospital charges. A multicenter, randomized control trial should be conducted to validate these findings.

Remote Patient Monitoring for the Detection of COPD Exacerbations

Background

COPD exacerbations occur more frequently with disease progression and are associated with worse prognosis and higher healthcare expenditure.

Purpose

To utilize a networked system, optimized with statistical process control (SPC), for remote patient monitoring (RPM) and to identify potential predictors of COPD exacerbations.

Methods

Seventeen subjects, mean (SD) age of 69.7 (7.2) years, with moderate to severe COPD received RPM. Over 2618 patient-days (7.17 patient-years) of monitoring, we obtained daily symptom scores, treatment adherence, self-reported activity levels, daily spirometry (SVC, FEV₁, FVC, PEF), inspiratory capacity (IC), and oxygenation (SpO₂). These data were used to identify predictors of exacerbations defined using Anthonisen and other criteria.

Results

After implementation of SPC, concordance analysis showed substantial agreement between FVC (decrease below the 7-day rolling average minus 1.645 SD) and self-reported healthcare utilization events (κ=0.747, P<0.001) as well as between increased use of inhaled short-acting bronchodilators and exacerbations defined by two Anthonisen criteria (κ=0.611, P<0.001) or modified Anthonisen criteria (κ=0.622, P<0.001). There was a moderate agreement between FEV₁ (decrease >1.645 SD below the 7-day rolling average) and self-reported healthcare utilization events (κ=0.475, P<0.001) and between SpO₂ less than 90% and exacerbations defined by two Anthonisen criteria (κ=0.474, P<0.001) or modified Anthonisen criteria (κ=0.564, P<0.001).

Conclusion

Exacerbations were best predicted by FVC and FEV₁ below the one-sided 95% confidence interval derived from SPC but also by increased use of inhaled short-acting bronchodilators and fall in oxygen saturation. An RPM program that captures these parameters may be used to guide appropriate interventions aimed at reducing healthcare utilization in COPD patients.

Does health and social care provision for the community dwelling older population help to reduce unplanned secondary care, support timely discharge and improve patient well-being? A mixed method meta-review of systematic reviews

Background: This study aimed to identify and examine systematic review evidence of health and social care interventions for the community-dwelling older population regarding unplanned hospital admissions, timely hospital discharge and patient well-being. Methods: A meta-review was conducted using Joanna Briggs and PRISMA guidance. A search strategy was developed: eight bibliographic medical and social science databases were searched, and references of included studies checked. Searches were restricted to OECD countries and to systematic reviews published between January 2013-March 2018. Data extraction and quality appraisal was undertaken by one reviewer with a random sample screened independently by two others. Results: Searches retrieved 21,233 records; using data mining techniques, we identified 8,720 reviews. Following title and abstract and full-paper screening, 71 systematic reviews were included: 62 quantitative, seven qualitative and two mixed methods reviews. There were 52 reviews concerned with healthcare interventions and 19 reviews concerned with social care interventions. This meta-review summarises the evidence and evidence gaps of nine broad types of health and social care interventions. It scrutinises the presence of research in combined health and social care provision, finding it lacking in both definition and detail given. This meta-review debates the overlap of some of the person-centred support provided by community health and social care provision. Research recommendations have been generated by this process for both primary and secondary research. Finally, it proposes that research recommendations can be delivered on an ongoing basis if meta-reviews are conducted as living systematic reviews. Conclusions: This meta-review provides evidence of the effect of health and social care interventions for the community-dwelling older population and identification of evidence gaps. It highlights the lack of evidence for combined health and social care interventions and for the impact of social care interventions on health care outcomes. Registration: PROSPERO ID CRD42018087534; registered on 15 March 2018.

Predictors for 30-Day and 90-Day Hospital Readmission Among Patients With Opioid Use Disorder

OBJECTIVES

To identify the incidence, characteristics, and predictors for 30 and 90-day readmission among acutely hospitalized patients with opioid use disorder (OUD).

METHODS

This retrospective, cohort study evaluated consecutive adults with OUD admitted to an academic medical center over a 5-year period (10/1/11 to 9/30/16). Multivariable logistic regression was used to determine independent predictors for 30 and 90-day readmissions based on pertinent admission, hospital, and discharge variables collected via chart review and found to be different (with a P < 0.10) on univariate analysis.

RESULTS

Among the 470 adults (mean age 43.1 ± 12.8 years, past heroin use 77.9%; admission opioid agonist therapy use [buprenorphine 22.6%; methadone 27.0%]; medical [vs surgical] admission 75.3%, floor [vs ICU] admission 93.0%, in-hospital mortality 0.9%), 85 (18.2%) and 151 (32.1%) were readmitted within 30 and 90 days, respectively. Among the 90-day readmitted patients, median time to first readmission was 26 days. Buprenorphine use (vs no use) at index hospital admission was independently associated with reduced 30-day (odds ratio [OR] 0.47, 95% confidence interval [CI] 0.24-0.93) and 90-day (OR 0.57, 95% CI 0.34-0.96) readmission; prior heroin (vs prescription opioid) use was associated with reduced 90-day readmission (OR 0.59, 95% CI 0.37-0.94) and length of hospital stay was associated with both greater 30-day (OR 1.02, 95% CI 1.01-1.05) and 90-day (OR 1.04, 95% CI 1.01-1.06) readmission rates.

CONCLUSIONS

Among patients with OUD taking buprenorphine at the time of hospital admission, 30-day and 90-day hospital readmission was reduced by 53% and 43%, respectively.

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.

Statistical Process Control Improves The Feasibility Of Remote Physiological Monitoring In Patients With Chronic Obstructive Pulmonary Disease

Background

Exacerbations of chronic obstructive pulmonary disease (COPD) occur with increasing frequency as the disease progresses and account for poor health status, worse prognosis, and higher healthcare expenditure.

Methods

We developed a networked system for remote physiological monitoring (RPM) at home and optimized it with statistical process control (SPC) with the goal of earlier detection of COPD exacerbations. We enrolled 17 patients with moderate to severe COPD with a mean (SD) age of 71.1 (7.2) years. We obtained daily symptom scores, treatment adherence and activity levels using a programmable device, and measured daily slow and forced spirometry (FEV₁, FVC, PEF), inspiratory capacity (IC) and oxygenation (SpO₂). To identify exacerbations, we developed rolling prediction intervals for FVC, FEV₁, IC and SpO₂ using SPC.

Results

The time taken to perform daily monitoring was reduced from 12.7 (5.4) minutes to 6.5 (2.6) minutes through software refinements during the study. Adherence to forced and slow spirometry was 62.6% and 62.4%, respectively. The within-subject coefficients of variation for FEV₁, PEF and IC were 12.2%, 16.2%, and 13.1%, respectively. Event rates per patient-year for exacerbations were: self-reported 0.42, 2/3 Anthonisen Criteria (AC) 0.42, modified AC 2.23, systemic corticosteroid use 0.56, and antibiotic use 0.56.

Conclusion

We successfully implemented a networked system for RPM of symptoms, treatment adherence, and physiology at home in patients with COPD. We demonstrated that SPC improves the feasibility of RPM in COPD patients which may increase the likelihood of detecting COPD exacerbations.

The impact of telehealth care on health-related quality of life of patients with heart failure: Results from the Danish TeleCare North heart failure trial

AIM

The aim of this study was to assess the impact on health-related quality of life (HRQoL) of a telehealth care solution compared with usual practice of patients with heart failure (HF).

METHODS

A randomized controlled trial with a telehealth care solution (Telekit) as the intervention (with a focus on self-empowerment achieved by engaging patients in their own illness through self-monitoring) combined with usual care and usual care as the control. The primary outcome was a change in HRQoL as measured by the Short Form-36 (SF-36) questionnaire Physical Component Summary (PCS) score. Secondary outcomes were changes in HRQoL as measured by the SF-36 questionnaire Mental Component Summary (MSC) score and the HF disease-specific questionnaire Kansas City Cardiomyopathy Questionnaire 12 (KCCQ12) score, all of which were assessed from baseline to approximately 12 months' follow-up between the two groups. Outcomes were assessed via unadjusted and adjusted analyses.

RESULTS

At baseline, 299 (145 interventions, 154 controls) patients were enrolled. In the primary analysis (n = 299), the adjusted intervention effects were PCS -0.81 (95% CI -2.7-1.1), MCS 4.66 (95% CI 1.8-7.5) and KCCQ12 3.67 (95% CI -0.7-8.1). Only the change in MCS was statistically significant. An unadjusted analysis replicated the primary analysis. Complete case analyses (n = 193) generally resulted in a lower intervention effect on the PCS score, but the difference remained statistically insignificant.

CONCLUSIONS

Only the MCS score was significantly higher in the telehealth care group compared to the control group.ClinicalTrials.gov (NCT02860013), July 28, 2016.

Effectiveness of telemonitoring-enhanced support over structured telephone support in reducing heart failure-related healthcare utilization in a multi-ethnic Asian setting

Aims

Our study aimed to compare the effectiveness of telemonitoring over structured telephone support in reducing heart failure-related healthcare utilization.

Methods

This was a non-randomised controlled study comparing 150 recently discharged heart failure patients enrolled into telemonitoring and 55 patients who only received structured telephone support after rejecting telemonitoring. Patient activation, knowledge and self-management levels were measured at baseline and the one year upon programme completion using the Patient Activation Measure, the Dutch Heart Failure Knowledge Scale and the Self-Care of Heart Failure Index respectively. Differences in heart failure-related and all-cause hospitalization rates, total bed days and mortality rates at 180 days and at one year, knowledge and self-management scores and total cost of care between groups at one year were analysed.

Results

Average age of telemonitoring was 57.9 years and 63.9 years for structured telephone support. Significant difference in adjusted 180-day all-cause bed days (telemonitoring: five days versus structured telephone support: 9.8 days), heart failure-related bed days (telemonitoring: 1.2 days versus structured telephone support: six days) and adjusted one-year heart failure-related bed days (telemonitoring: 2.2 days versus structured telephone support: 6.6 days) were observed. Telemonitoring was associated with reduced all-cause one-year mortality (hazard ratio 0.32, p = 0.02). Estimated mean maintenance and confidence scores were significantly higher in the telemonitoring group at one year. No differences in all-cause and HF-related readmission rates and knowledge levels were observed. The one-year total cost of care was predicted to be Singapore dollars (SG$) 2774.4 lower ( p = 0.07) in telemonitoring.

Conclusion

In conclusion, telemonitoring was associated with lower all-cause and heart failure-related total bed days at 180 days, lower heart failure-related total bed days and total cost of care at one year as compared with structured telephone support.

Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study

BACKGROUND

Heart failure (HF) is associated with high rates of hospitalizations, morbidity, mortality, and costs. Remote patient monitoring (mobile health, mHealth) shows promise in improving self-care and HF management, thus increasing quality of care while reducing hospitalizations and costs; however, limited information exists regarding perceptions of older adults with HF about mHealth use.

OBJECTIVE

This study aimed to compare perspectives of older adults with HF who were randomized to either (1) mHealth equipment connected to a 24-hour call center, (2) digital home equipment, or (3) standard care, with regard to ease and satisfaction with equipment, provider communication and engagement, and ability to self-monitor and manage their disease.

METHODS

We performed a pilot study using a mixed-methods descriptive design with pre- and postsurveys, following participants for 12 weeks. We augmented these data with semistructured qualitative interviews to learn more about feasibility, satisfaction, communication, and self-management.

RESULTS

We enrolled 28 patients with HF aged 55 years and above, with 57% (16/28) male, 79% (22/28) non-Hispanic white, and with multiple comorbid conditions. At baseline, 50% (14/28) rated their health fair or poor and 36% (10/28) and 25% (7/28) were very often/always frustrated and discouraged by their health. At baseline, 46% (13/28) did not monitor their weight, 29% (8/28) did not monitor their blood pressure, and 68% (19/28) did not monitor for symptoms. Post intervention, 100% of the equipment groups home monitored daily. For technology anxiety, 36% (10/28) indicated technology made them nervous, and 32% (9/28) reported fear of technology, without significant changes post intervention. Technology usability post intervention scored high (91/100), reflecting ease of use. A majority indicated that a health care provider should be managing their health, and 71% reported that one should trust and not question the provider. Moreover, 57% (16/28) believed it was better to seek professional help than caring for oneself. Post intervention, mHealth users relied more on themselves, which was not mirrored in the home equipment or standard care groups. Participants were satisfied with communication and engagement with providers, yet many described access problems. Distressing symptoms were unpredictable and prevailed over the 12 weeks with 79 provider visits and 7 visits to emergency departments. The nurse call center received 872 readings, and we completed 289 telephone calls with participants. Narrative data revealed the following main themes: (1) traditional communication and engagement with providers prevailed, delaying access to care; (2) home monitoring with technology was described as useful, and mHealth users felt secure knowing that someone was observing them; (3) equipment groups felt more confident in self-monitoring and managing; and finally, (4) uncertainty and frustration with persistent health problems.

CONCLUSIONS

mHealth equipment is feasible with potential to improve patient-centered outcomes and increase self-management in older adults with HF.

Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review

Background

Successfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretical approach for studying care transition interventions, with potential implications for intervention effectiveness. The aim of this study is to examine whether care transition interventions that are congruent with the complexity of the processes and conditions they are trying to improve will have better outcomes.

Methods

We identified a convenience sample of high-quality care transition intervention studies included in a care transition synthesis report by Kansagara and colleagues. After excluding studies that did not meet our criteria, we scored each study based on (1) the presence or absence of 5 CAS characteristics (learning, interconnections, self-organization, co-evolution, and emergence), as well as system-level interdependencies (resources and processes) in the intervention design, and (2) scored study readmission-related outcomes for effectiveness.

Results

Forty-four of the 154 reviewed articles met our inclusion criteria; these studies reported on 46 interventions. Nearly all the interventions involved a change in interconnections between people compared with care as usual (96% of interventions), and added resources (98%) and processes (98%). Most contained elements impacting learning (67%) and self-organization (69%). No intervention reflected either co-evolution or emergence. Almost 40% of interventions were rated as effective in terms of impact on hospital readmissions. Chi square testing for an association between outcomes and CAS characteristics was not significant for learning or self-organization, however interventions rated as effective were significantly more likely to have both of these characteristics (78%) than interventions rated as having no effect (32%, p = 0.005).

Conclusions

Interventions with components that influenced learning and self-organization were associated with a significant improvement in hospital readmissions-related outcomes. Learning alone might be necessary but not be sufficient for improving transitions. However, building self-organization into the intervention might help people effectively respond to problems and adapt in uncertain situations to reduce the likelihood of readmission.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3712-7) contains supplementary material, which is available to authorized users.

Impact of patient-centred home telehealth programme on outcomes in heart failure

Background

Telehealth is a promising intervention to reduce readmissions and healthcare-associated costs in patients with heart failure.

Methods

We performed a retrospective analysis of the impact of telehealth on 197 heart failure patients who had successfully completed one year of home telehealth monitoring following a heart failure admission as part of a clinically mandated programme at a Veterans Affairs Medical Center. Outcomes were compared both within the group (one year before and one year after home telehealth monitoring), and to a contemporary control cohort of 870 heart failure patients who were admitted but not enrolled in home telehealth. The following outcomes were analysed: admissions for any cause, heart failure admissions, total hospital days per patient, average length of stay per admission, urgent care and emergency room visits, and primary care visits.

Results

Both the home telehealth and control cohorts consisted of older male patients. Total hospital days per patient was significantly reduced by home telehealth monitoring in the home telehealth group (2.4 ± 3.5) in comparison to the previous year without monitoring (4.1 ± 4.6, p < 0.0001) and to the control group (3.8 ± 5.3, p < 0.001). A significantly lower admission rate (1.1 ± 1.6) and length of stay (5.7 ± 11.3 days) were observed during home telehealth monitoring within the home telehealth group compared to the prior year (1.6 ± 1.7, p < 0.05 and 9.5 ± 14 days, p < 0.01 respectively) but not in comparison with the control group (1.4 ± 2.0, p < 0.07). The home telehealth group also had a significantly lower length of stay when compared to the control group (5.7 ± 11.3 vs 9.0 ± 14.9, p < 0.01). The number of urgent care and emergency room visits, or primary care visits, was not significantly different during home telehealth monitoring as compared to the prior year.

Conclusions

Personalised and patient-centred home telehealth monitoring in heart failure patients was successful in reducing outcomes without an increase in outpatient and urgent care visits.

Telemonitoring in subjects with newly diagnosed heart failure with reduced ejection fraction: From clinical research to everyday practice

INTRODUCTION

Heart failure is increasingly common, and characterised by frequent admissions to hospital. To try and reduce the risk of hospitalisation, techniques such as telemonitoring (TM) may have a role. We wanted to determine if TM in patients with newly diagnosed heart failure and ejection fraction <40% reduces the risk of readmission or death from any cause in a 'real-world' setting.

METHODS

This is a retrospective study of 124 patients (78.2% male; 68.6 ± 12.6 years) who underwent TM and 345 patients (68.5% male; 70.2 ± 10.7 years) who underwent the usual care (UC). The TM group were assessed daily by body weight, blood pressure and heart rate using electronic devices with automatic transfer of data to an online database. Follow-up was 12 months.

RESULTS

Death from any cause occurred in 8.1% of the TM group and 19% of the UC group ( p = 0.002). There was no difference between the two groups in all-cause hospitalisation, either in the number of subjects hospitalised ( p = 0.7) or in the number of admissions per patient ( p = 0.6). There was no difference in the number of heart-failure-related readmissions per person between the two groups ( p = 0.5), but the number of days in hospital per person was higher in the UC group ( p = 0.03). Also, there were a significantly greater number of days alive and out of hospital for the patients in the TM group compared with the UC group ( p = 0.0001).

DISCUSSION

TM is associated with lower any-cause mortality and also has the potential to reduce the number of days lost to hospitalisation and death.

Meta-Analysis of Complex Interventions

Meta-analysis is a prominent method for estimating the effects of public health interventions, yet these interventions are often complex in ways that pose challenges to using conventional meta-analytic methods. This article discusses meta-analytic techniques that can be used in research syntheses on the effects of complex public health interventions. We first introduce the use of complexity frameworks to conceptualize public health interventions. We then present a menu of meta-analytic procedures for addressing various sources of complexity when answering questions about the effects of public health interventions in research syntheses. We conclude with a review of important practices and key resources for conducting meta-analyses on complex interventions, as well as future directions for research synthesis more generally. Overall, we argue that it is possible to conduct meaningful quantitative syntheses of research on the effects of public health interventions, though these meta-analyses may require the use of advanced techniques to properly consider and attend to issues of complexity.

Connected Health Devices for Health Care in French General Medicine Practice: Cross-Sectional Study

Background

The integration of Connected Health Devices (CHDs) is growing within mobile health (mHealth) and telemedicine, encouraged by institutions and industries. The idea is to improve lifestyle habits and health behaviors as a preventive goal in an aging population with fewer physicians available. However, their ill-defined place in health care does not promote their use in current medical practice.

Objective

The primary objective of this study was to quantify CHDs’ use rate by general practitioners (GPs). A secondary objective was to evaluate their benefits and limitations in usual care.

Methods

A cross-sectional study through an Internet-based survey was addressed to French GPs via regional medical unions and continuous education agencies, supplemented with an informative website, from March 2015 to July 2015. Surveys where either the form was insufficiently filled or the main question was left unanswered were excluded from the study.

Results

A total of 1084 answers were analyzed, of which 19.46% (211/1084, 95% CI 17.1-21.8) GPs used CHDs, and 10.15% (110/1084, 95% CI 8.5-12.1) prescribed a CHD. CHD users statistically prescribed more CHDs (7.38% [80/1084] in the user group vs 2.86% [31/1084] in nonusers; P<.001) and were more likely to use them in the future. Major interests in their utilization were in patient monitoring for 84.96% (921/1084) and patient education for 75.83% (822/1084), especially for diabetes (89.67%, 972/1084) and hypertension (84.13%, 912/1084). Generated data had to be managed securely by the patient primarily for 85.79% (930/1084) of the GPs. CHDs had to not constrain GPs outside clinical consultation, nor restrain their time for 75.83% (822/1084). Additional actors in patient care were not desired for 79.98% (867/1084) of the GPs. Questions about data management issues and technical difficulties were raised.

Conclusions

CHDs are little used by French GPs and even less prescribed to their patients, as only a few GPs use these tools. Their benefits as tools of patient empowerment, although expected, remain to be demonstrated in real-life setups.

Web-Based Tools for Text-Based Patient-Provider Communication in Chronic Conditions: Scoping Review

Background

Patients with chronic conditions require ongoing care which not only necessitates support from health care providers outside appointments but also self-management. Web-based tools for text-based patient-provider communication, such as secure messaging, allow for sharing of contextual information and personal narrative in a simple accessible medium, empowering patients and enabling their providers to address emerging care needs.

Objective

The objectives of this study were to (1) conduct a systematic search of the published literature and the Internet for Web-based tools for text-based communication between patients and providers; (2) map tool characteristics, their intended use, contexts in which they were used, and by whom; (3) describe the nature of their evaluation; and (4) understand the terminology used to describe the tools.

Methods

We conducted a scoping review using the MEDLINE (Medical Literature Analysis and Retrieval System Online) and EMBASE (Excerpta Medica Database) databases. We summarized information on the characteristics of the tools (structure, functions, and communication paradigm), intended use, context and users, evaluation (study design and outcomes), and terminology. We performed a parallel search of the Internet to compare with tools identified in the published literature.

Results

We identified 54 papers describing 47 unique tools from 13 countries studied in the context of 68 chronic health conditions. The majority of tools (77%, 36/47) had functions in addition to communication (eg, viewable care plan, symptom diary, or tracker). Eight tools (17%, 8/47) were described as allowing patients to communicate with the team or multiple health care providers. Most of the tools were intended to support communication regarding symptom reporting (49%, 23/47), and lifestyle or behavior modification (36%, 17/47). The type of health care providers who used tools to communicate with patients were predominantly allied health professionals of various disciplines (30%, 14/47), nurses (23%, 11/47), and physicians (19%, 9/47), among others. Over half (52%, 25/48) of the tools were evaluated in randomized controlled trials, and 23 tools (48%, 23/48) were evaluated in nonrandomized studies. Terminology of tools varied by intervention type and functionality and did not consistently reflect a theme of communication. The majority of tools found in the Internet search were patient portals from 6 developers; none were found among published articles.

Conclusions

Web-based tools for text-based patient-provider communication were identified from a wide variety of clinical contexts and with varied functionality. Tools were most prevalent in contexts where intended use was self-management. Few tools for team-based communication were found, but this may become increasingly important as chronic disease care becomes more interdisciplinary.

Understanding heart failure; explaining telehealth - a hermeneutic systematic review

BACKGROUND

Enthusiasts for telehealth extol its potential for supporting heart failure management. But randomised trials have been slow to recruit and produced conflicting findings; real-world roll-out has been slow. We sought to inform policy by making sense of a complex literature on heart failure and its remote management.

METHODS

Through database searching and citation tracking, we identified 7 systematic reviews of systematic reviews, 32 systematic reviews (including 17 meta-analyses and 8 qualitative reviews); six mega-trials and over 60 additional relevant empirical studies and commentaries. We synthesised these using Boell's hermeneutic methodology for systematic review, which emphasises the quest for understanding.

RESULTS

Heart failure is a complex and serious condition with frequent co-morbidity and diverse manifestations including severe tiredness. Patients are often frightened, bewildered, socially isolated and variably able to self-manage. Remote monitoring technologies are many and varied; they create new forms of knowledge and new possibilities for care but require fundamental changes to clinical roles and service models and place substantial burdens on patients, carers and staff. The policy innovation of remote biomarker monitoring enabling timely adjustment of medication, mediated by "activated" patients, is based on a modernist vision of efficient, rational, technology-mediated and guideline-driven ("cold") care. It contrasts with relationship-based ("warm") care valued by some clinicians and by patients who are older, sicker and less technically savvy. Limited uptake of telehealth can be analysed in terms of key tensions: between tidy, "textbook" heart failure and the reality of multiple comorbidities; between basic and intensive telehealth; between activated, well-supported patients and vulnerable, unsupported ones; between "cold" and "warm" telehealth; and between fixed and agile care programmes.

CONCLUSION

The limited adoption of telehealth for heart failure has complex clinical, professional and institutional causes, which are unlikely to be elucidated by adding more randomised trials of technology-on versus technology-off to an already-crowded literature. An alternative approach is proposed, based on naturalistic study designs, application of social and organisational theory, and co-design of new service models based on socio-technical principles. Conventional systematic reviews (whose goal is synthesising data) can be usefully supplemented by hermeneutic reviews (whose goal is deepening understanding).