Heart failure patients' perceptions and use of technology to manage disease symptoms

A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring

Over the last decade, there has been a huge demand for health care technologies such as sensors-based prediction using digital health. With the continuous rise in the human population, these technologies showed to be potentially effective solutions to life-threatening diseases such as heart failure (HF). Besides being a potential for early death, HF has a significantly reduced quality of life (QoL). Heart failure has no cure. However, treatment can help you live a longer and more active life with fewer symptoms. Thus, it is essential to develop technological aid solutions allowing early diagnosis and consequently, effective treatment with possibly delayed mortality. Commonly, forecasts of HF are based on the generation of vast volumes of data usually collected from an individual patient by different components of the family history, physical examination, basic laboratory results, and other medical records. Though, these data are not effectively useful for predicting this failure, nevertheless, with the aid of advanced medical technology such as interconnected multi-sensory-based devices, and based on several medical history characteristics, the broad data provided machine learning algorithms to predict risk factors for heart disease of an individual is beneficial. There will be many challenges for the next decade of advancements in HF care: exploiting an increasingly growing repertoire of interconnected internal and external sensors for the benefit of patients and processing large, multimodal datasets with new Artificial Intelligence (AI) software. Various methods for predicting heart failure and, primarily the significance of invasive and non-invasive sensors along with different strategies for machine learning to predict heart failure are presented and summarized in the present study.

Factors affecting patient and physician engagement in remote healthcare for heart failure: a systematic review (Preprint)

Background

Objective

Methods

Results

Conclusions

Decision-making Factors Associated With Telehealth Adoption by Patients With Heart Failure at Home: A Qualitative Study

Telehealth has been reported to be effective in helping patients with heart failure manage their symptoms at home. Despite this, the adoption rate for telehealth among home care patients with heart failure is low, and there is limited research on reasons for this. This study was undertaken to explore factors associated with patients' decisions to adopt telehealth at home. A qualitative descriptive study underpinned by the Unified Theory of Acceptance Use of Technology model was conducted using semi-structured telephone interviews with patients with heart failure (N = 20) referred for telehealth. Interviews were analyzed using a mixture of deductive and inductive coding. Among the theoretical model elements, the perceived usefulness of the technology (performance expectancy), the availability of clinical/technical support (facilitating conditions), and the opinion of other individuals important to the patient (social influence) were associated with telehealth initiation. However, the ease of use (effort expectancy) was not an associated factor. Other factors such as experience, knowledge, confidence, satisfaction, and attitudes were also associated with the decision. Identification of factors related to higher telehealth initiation rates can be used to inform individualized care planning by nurses. Knowledge of such associations can inform referral process to improve the efficiency and utilization of telehealth.

Rise of the machines: will heart failure become the first cyber-specialty?

Digital healthcare is being introduced to the management of heart failure as a consequence of innovations in information technology. Advancement in technology enables remote symptom and device monitoring, and facilitates early detection and treatment of heart failure exacerbation, potentially improving patient outcomes and quality of life. It also provides the potential to redesign our heart failure healthcare system to one with greater efficacy through resource-sparing, computer-aided decision-making systems. Although promising, there is, as yet, insufficient evidence to support the widespread implementation of digital healthcare. Patient-related barriers include user characteristics and health status; privacy and security concerns; financial costs and lack of accessibility of digital resources. Physician-related barriers include the lack of infrastructure, incentive, knowledge and training. There are also a multitude of technical challenges in maintaining system efficiency and data quality. Furthermore, the lack of regulation and legislation regarding digital healthcare also prevents its large-scale deployment. Further education and support and a comprehensive workable evaluation framework are needed to facilitate confident and widespread use of digital healthcare in managing patients with heart failure.

Knowledge among patients with heart failure: A narrative synthesis of qualitative research

BACKGROUND

Patients' knowledge of heart failure (HF) is integral to improved outcomes. However, the HF literature has not adequately explored the nature of patients' knowledge of HF as part of their lived experience.

OBJECTIVES

We aimed to characterize the nature of patients' knowledge of HF, in the context of living with the disease.

METHODS

We conducted a narrative synthesis of qualitative studies that addressed patients' knowledge of HF. Studies were systematically searched and retrieved from MEDLINE, CINAHL, PsycINFO and PsycARTICLES databases. Findings were synthesized using an iterative coding process carried out by multiple analysts and reported following Enhancing Transparency in the Reporting of Qualitative Health Research (ENTREQ) criteria.

RESULTS

Analysis of 73 eligible articles produced five themes: the content that comprises HF knowledge; development of HF knowledge over time; application of HF knowledge for decision making; communication of information between clinicians and patients; and patients' experience of knowledge.

CONCLUSION

The nature of patients' knowledge of HF is both explicit and implicit, dynamic, and personal. This multidimensional model of knowledge-in-context calls for equally multidimensional research and intervention design.

Patient expectations and experiences of remote monitoring for chronic diseases: Systematic review and thematic synthesis of qualitative studies

OBJECTIVES

To describe the range of patients' beliefs, attitudes, expectations, and experiences of remote monitoring for chronic conditions across different healthcare contexts and populations.

DESIGN

We searched MEDLINE, Embase, PsychINFO, and CINAHL, Google Scholar, and reference lists of related studies through to July 2017. Thematic synthesis was used to analyse the findings of the primary studies. Study characteristics were examined to explain differences in findings.

SETTING

All healthcare settings PARTICIPANTS: Adults with chronic diseases OUTCOMES: Patient beliefs, attitudes, expectations and experiences of remote monitoring RESULTS: We included 16 studies involving 307 participants with chronic obstructive pulmonary disease, heart failure, diabetes, hypertension, and end stage kidney disease. The studies were conducted in 8 countries. We identified four themes: gaining knowledge and triggering actions (tracking and responding to change, prompting timely and accessible care, supporting self-management and shared decision-making); reassurance and security (safety in being alone, peace of mind); concern about additional burden (reluctance to learn something new, lack of trust in technology, avoiding additional out-of-pocket costs), and jeopardising interpersonal connections (fear of being lost in data, losing face to face contact).

CONCLUSIONS

For patients with chronic disease, remote monitoring increased their disease-specific knowledge, triggered earlier clinical assessment and treatment, improved self-management and shared decision-making. However, these potential benefits were balanced against concerns about losing interpersonal contact, and the additional personal responsibility of remote monitoring.

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.

Iterative Implementation of a Remote Cardiac Patient Monitoring Device using Qualitative Analysis and Human Factors Engineering

Remote monitoring has the potential to improve patient care and satisfaction while reducing the cost of care and burden on the healthcare system for Congestive Heart Failure (CHF) and Atrial Fibrillation (AF) patients. However, the device must be convenient and easy for the population to use correctly. In this study, human factors and qualitative researchers evaluated the use of a remote cardiac monitoring device during a clinical trial with 74 CHF and AF patients. Human factors usability concerns centered on device use and the information presented in the manual. The key themes identified during the qualitative analysis were related to patient education. These findings were incorporated into device design, user manual, or education material updates. This study illustrates how these methods can infuse patient experience into device design to inform continued quality improvement and usability refinement specifically in devices to aid CHF and AF patients without added burden.

Factors Affecting the Acceptance of Telehealth Services by Heart Failure Patients: An Integrative Review

BACKGROUND

While telehealth has been shown to improve heart failure patients' health outcomes, patients' acceptance of telehealth at the point of referral is reported to be low. Little is known about the factors related to patients' initial acceptance or refusal of telehealth services. The aim of this review was to synthesize evidence on the factors affecting heart failure patients' decision making to accept telehealth services in a home setting.

METHODS

An integrative literature review was conducted. Six electronic databases and three grey literature sites were searched. Two reviewers independently reviewed articles for inclusion. Articles were included if they reported original data related to the acceptance of telehealth services among heart failure patients at home.

RESULTS

Five studies met the inclusion criteria and were included in the review. Key findings indicated that patients generally hold positive views about telehealth. Factors that may affect the adoption of telehealth include concerns over equipment or technology, concerns over service change, ease-of-use, knowledge of the benefits of telehealth, access to care, cost, and privacy.

CONCLUSIONS

Despite evidence of effectiveness for telehealth, there is a high rate of telehealth refusal among patients. Understanding factors associated with heart failure patients' decisions regarding telehealth can help healthcare organizations structure education programs and other interventions to improve acceptance rates.

Implementation of a Home Monitoring System for Heart Failure Patients: A Feasibility Study

Background

Improving the management of patients with complex chronic disease is a substantial undertaking with the simultaneous goals of improving patient outcomes and controlling costs. Reducing avoidable hospitalization for such patients is a step toward both objectives. Some of the deterioration experienced in chronic disease patients occurs outside the view of their clinicians, and before the patient becomes overtly symptomatic. Home monitoring has been used for more than 20 years to detect deterioration earlier so that the patients could be treated before they became ill enough to require hospitalization. Patient participation is an important requirement for successful home monitoring. There has been some concern that patients would be unwilling or unable to engage in a program that collected multiple measurements. The Cedars-Sinai Cardiology Center provides a high-touch, intense management program for patients with congestive heart failure (CHF). A group of their patients were chosen to join a complex, multidevice home monitoring system to see whether such patients would find value in the additional effort.

Objective

The objective of our study was to determine whether patients already actively engaged in a high-touch intensive management program for CHF would take on the additional burden of a complex home monitoring effort.

Methods

A total of 20 patients from the Cedars-Sinai group were enrolled in a monitoring program utilizing 5 different devices. Anonymous surveys were collected from the patients to assess their satisfaction with the program.

Results

In total, 90% (18/20) completed the program, and 61% (11/20) submitted the survey. Among the 18 patients, overall compliance with the requested measurements was 70%. It was found that 73% (8/11) felt better about their health as a result of the program, whereas another 73% (8/11) believed that the care team now had a better picture of their health.

Conclusions

Substantial patient compliance and satisfaction can be achieved in a sophisticated home monitoring program.

Hospital utilization after a telemonitoring program: a pilot study

The long-term effects of remote monitoring on hospital utilization and health care costs are understudied in home health care. The researchers performed a retrospective study, in a hospital-based home health care agency, to consider the effects of remote monitoring in 326 patients with heart failure 90 days after discharge from services. While statistical significance was not noted, clinical significance suggests that there was a decreased hospital utilization rate and decreased average cost per hospitalization in the remote monitoring group.