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

Heart Failure with Preserved Ejection Fraction: How to Deal with This Chameleon

Heart failure with preserved ejection fraction (HFpEF) is characterized by a notable heterogeneity in both phenotypic and pathophysiological features, with a growing incidence due to the increase in median age and comorbidities such as obesity, arterial hypertension, and cardiometabolic disease. In recent decades, the development of new pharmacological and non-pharmacological options has significantly impacted outcomes, improving clinical status and reducing mortality. Moreover, a more personalized and accurate therapeutic management has been demonstrated to enhance the quality of life, diminish hospitalizations, and improve overall survival. Therefore, assessing the peculiarities of patients with HFpEF is crucial in order to obtain a better understanding of this disorder. Importantly, comorbidities have been shown to influence symptoms and prognosis, and, consequently, they should be carefully addressed. In this sense, it is mandatory to join forces with a multidisciplinary team in order to achieve high-quality care. However, HFpEF remains largely under-recognized and under-treated in clinical practice, and the diagnostic and therapeutic management of these patients remains challenging. The aim of this paper is to articulate a pragmatic approach for patients with HFpEF focusing on the etiology, diagnosis, and treatment of HFpEF.

Heart Failure-Smart Life: a randomized controlled trial of a mobile app for self-management in patients with heart failure

BACKGROUND

It is an important strategy for healthcare providers to support heart failure patients with comprehensive aspects of self-management. A practical alternative to a comprehensive and user-friendly self-management program for heart failure patients is needed. This study aimed to develop a mobile self-management app program for patients with heart failure and to identify the impact of the program.

METHODS

We developed a mobile app, called Heart Failure-Smart Life. The app was to provide educational materials using a daily health check-up diary, Q & A, and 1:1 chat, considering individual users' convenience. An experimental study was employed using a randomized controlled trial to evaluate the effects of the program in patients with heart failure from July 2018 to June 2019. The experimental group (n = 36) participated in using the mobile app that provided feedback on their self-management and allowed monitoring of their daily health status by cardiac nurses for 3 months, and the control group (n = 38) continued to undergo their usual care. The differences in the physical, psychosocial, and behavioral factors between the two groups over time were analyzed using the analysis of covariance.

RESULTS

After 3 months of intervention, significant differences between experimental and control groups were shown in the New York Heart Association functional class (p = 0.003) and cardiac diastolic function (p = 0.024). The improvements over time in the experimental group tended to be higher than those in the control group in considered variables. However, no changes in psychosocial and behavioral variables were observed between the groups over time.

CONCLUSIONS

This study provides evidence that the mobile app program may provide benefits to its users, specifically improvements of symptom and cardiac diastolic function in patients with heart failure. Healthcare providers can effectively and practically guide and support patients with heart failure using comprehensive and convenient self-management tools such as smartphone apps.

A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB

BACKGROUND

Health information technologies (HITs) are increasingly being used to support the self-management of chronic diseases. However, patients' initial or continued acceptance of such technologies is not always achieved.

OBJECTIVE

The aim of this study was to develop a theory-driven HIT acceptance model to examine factors affecting acceptance of HIT (measured by behavioral intention; BI) for disease self-management among patients with chronic diseases, in which we also focused on three additional, previously unexplored factors related to perceived hand function (PHF), perceived visual function (PVF), and perceived space adequacy (PSA) and a longitudinal scrutinization of changes in the effects of these factors on acceptance over time.

METHODS

The theoretical basis of our acceptance model was drawn from the technology acceptance model and the theory of planned behavior. The model was further extended by including patients' PHF, PVF (related to patients with chronic diseases who are mostly elderly), and PSA (related to the patients' home environment). The model was tested in the context of type 2 diabetes and hypertension self-management via a touchscreen tablet-based system over a 24-week period. A questionnaire was administered at four time points (baseline and 8, 16, and 24 weeks after implementation) to collect data from 151 patients with coexisting type 2 diabetes and hypertension. We tested the model at each time point using partial least squares structural equation modeling.

RESULTS

Perceived usefulness of the self-management system influenced BI directly at 8 and 24 weeks and indirectly at 8, 16, and 24 weeks. Perceived ease of use indirectly affected BI at 8, 16, and 24 weeks. Attitude directly affected BI at 8, 16, and 24 weeks. Perceived behavioral control directly influenced BI at baseline and 8 and 16 weeks. Subjective norms indirectly influenced BI at 8, 16, and 24 weeks. PHF and PVF indirectly influenced BI over the entire study period. PSA influenced BI directly at 16 weeks and indirectly at 8, 16, and 24 weeks.

CONCLUSION

The effects of the proposed factors in our model on patient-focused HIT acceptance changed over a longer time period, emphasizing the importance of further investigation of the longitudinal mechanisms influencing technology acceptance behavior. It is recommended that healthcare practitioners consider such changes when implementing comparable technologies. Moreover, beyond technology attributes, the characteristics, needs, and limitations of older adults and elderly patient users and their home environments should also be considered in the design and implementation of patient-focused HIT systems for chronic disease self-management at home.

Use of mobile applications for heart failure self-management: a systematic review of experimental and qualitative studies (Preprint)

Background

Heart failure self-management is essential to avoid decompensation and readmissions. Mobile apps seem promising in supporting heart failure self-management, and there has been a rapid growth in publications in this area. However, to date, systematic reviews have mostly focused on remote monitoring interventions using nonapp types of mobile technologies to transmit data to health care providers, rarely focusing on supporting patient self-management of heart failure.

Objective

This study aims to systematically review the evidence on the effect of heart failure self-management apps on health outcomes, patient-reported outcomes, and patient experience.

Methods

Four databases (PubMed, Embase, CINAHL, and PsycINFO) were searched for studies examining interventions that comprised a mobile app targeting heart failure self-management and reported any health-related outcomes or patient-reported outcomes or perspectives published from 2008 to December 2021. The studies were independently screened. The risk of bias was appraised using Cochrane tools. We performed a narrative synthesis of the results. The protocol was registered on PROSPERO (International Prospective Register of Systematic Reviews; CRD42020158041).

Results

A total of 28 articles (randomized controlled trials [RCTs]: n=10, 36%), assessing 23 apps, and a total of 1397 participants were included. The most common app features were weight monitoring (19/23, 83%), symptom monitoring (18/23, 78%), and vital sign monitoring (15/23, 65%). Only 26% (6/23) of the apps provided all guideline-defined core components of heart failure self-management programs: education, symptom monitoring, medication support, and physical activity support. RCTs were small, involving altogether 717 participants, had ≤6 months of follow-up, and outcomes were predominantly self-reported. Approximately 20% (2/10) of RCTs reported a significant improvement in their primary outcomes: heart failure knowledge (P=.002) and self-care (P=.004). One of the RCTs found a significant reduction in readmissions (P=.02), and 20% (2/10) of RCTs reported higher unplanned clinic visits. Other experimental studies also found significant improvements in knowledge, self-care, and readmissions, among others. Less than half of the studies involved patients and clinicians in the design of apps. Engagement with the intervention was poorly reported, with only 11% (3/28) of studies quantifying app engagement metrics such as frequency of use over the study duration. The most desirable app features were automated self-monitoring and feedback, personalization, communication with clinicians, and data sharing and integration.

Conclusions

Mobile apps may improve heart failure self-management; however, more robust evaluation studies are needed to analyze key end points for heart failure. On the basis of the results of this review, we provide a road map for future studies in this area.

The Role of Health Information Technology in Pneumococcal Vaccination Uptake Among Adults with Heart Disease

Background: Health information technology (HIT) may influence pneumococcal vaccination uptake in high-risk populations. This study assessed the association of HIT utilization on pneumococcal vaccine (PCV) uptake among adults ≥40 years with heart disease. Methods: This was a cross-sectional study of 2,134 individuals representing 16,813,593 United States adults ≥40 years with heart disease using the National Health Interview Survey data. The independent variables were use of the Internet to (1) look up health information, (2) fill a prescription, and (3) schedule a medical appointment, and use of an e-mail (4) communicate with a health care provider. The dependent variable was PCV uptake. Chi-square analysis was used to evaluate group differences, and a multiple logistic regression was used to analyze the association between HIT utilization and PCV uptake. Results: Those who use the Internet to fill up a prescription and to communicate with their health care provider were more likely to take up the PCV (adjusted odds ratio [AOR] 1.56; 95% confidence interval [CI] 1.03-2.37, p = 0.035) and (AOR 1.95; 95% CI 1.23-3.10, p = 0.005) respectively. Compared with those who did not use HIT in any form, those who used HIT in at least three or four forms had a higher PCV uptake (AORs 1.93; 95% CI 1.19-3.13, p = 0.008) and (AOR 2.33 95% CI 1.22-4.47, p = 0.011) respectively. Conclusion: Our analysis shows a positive association of HIT utilization and PCV uptake. It further stresses the importance of electronic health in preventive medicine. This implies that HIT can be used purposively in other aspects of preventive health. Larger studies should evaluate the relationship between different uses of HIT and the uptake of different vaccines.

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.

Presenting self-monitoring test results for consumers: the effects of graphical formats and age

Objective

To examine the effects of graphical formats and age on consumers' comprehension and perceptions of the use of self-monitoring test results.

Methods

Participants (36 older and 36 young adults) were required to perform verbatim comprehension and value interpretation tasks with hypothetical self-monitoring test results. The test results were randomly presented by four reference range number lines: basic, color enhanced, color/text enhanced, and personalized information enhanced formats. We measured participants' task performance and eye movement data during task completion, and their perceptions and preference of the graphical formats.

Results

The 4 graphical formats yielded comparable task performance, while text/color and personalized information enhanced formats were believed to be easier and more useful in information comprehension, and led to increased confidence in correct comprehension of test results, compared with other formats (all p's < .05). Perceived health risk increased as the formats applied more information cues (p = .008). There were age differences in task performance and visual attention (all p's < .01), while young and older adults had similar perceptions for the 4 formats. Personalized information enhanced format was preferred by both groups.

Conclusions

Text/color and personalized information cues appear to be useful for comprehending test results. Future work can be directed to improve the design of graphical formats especially for older adults, and to assess the formats in clinical settings.

Effects of presentation formats on consumers' performance and perceptions in the use of personal health records among older and young adults

OBJECTIVE

To examine the effects of presentation formats on consumers' performance and perceptions in the use of personal health records (PHRs) and to compare the effects between older and young adults.

METHODS

A two-factor, mixed design experiment was conducted, where 36 older and 36 young participants were presented with hypothetical PHRs. The PHRs were randomly presented by six presentation formats: three tables and three line graphs, varying by visual cues. Participants' performance and perceptions in the use of PHRs were measured.

RESULTS

Presentation formats affected participants' performance and perceptions. Visual cue-enhanced line graphs and tables yielded less time and fewer errors, were considered easier and more useful in information comprehension, and resulted in higher confidence in correct comprehension of PHRs (all p's < 0.01), compared with their basic counterparts. There were age-related differences in task performance (all p's < 0.05), while young and older adults had similar perceptions for the six formats. Line graph with colored background was most preferred by both groups.

CONCLUSION

Visual cue-enhanced presentation formats appear effective in facilitating comprehension and eliciting favorable perceptions of PHRs for both young and older adults.

PRACTICE IMPLICATIONS

Consumer-facing displays of PHRs could use visual cue-enhanced presentation formats to facilitate comprehension.

Pilot Randomized Controlled Trial to Reduce Readmission for Heart Failure Using Novel Tablet and Nurse Practitioner Education

BACKGROUND

Heart failure education programs are not standardized. The best form of education is unclear. We evaluated whether addition of a novel tablet application to nurse practitioner (NP) education was superior to NP education alone in reducing 30-day readmission after heart failure hospitalization.

METHODS

From February 2015-March 2016, patients admitted to a quaternary academic center with primary diagnosis of heart failure were randomized to 1) treatment - NP education plus tablet application (interactive conditional logic program that flags patient questions to medical staff), or 2) control - NP education. The primary outcome was reduction in 30-day readmission rate. Secondary outcomes included satisfaction and education assessed via survey.

RESULTS

Randomization included 60 patients to treatment and 66 to control. A total of 13 patients withdrew prior to intervention (treatment n = 4, control n = 1) or were lost to follow-up (treatment n = 3, control n = 5). The 30-day readmission rate trended lower for treatment compared with control, but results were not statistically significant (13.2% [7/53], 26.7% [16/60], respectively, P = .08). Similarly, satisfaction trended higher with treatment than control (P = .08). Treatment patients rated explanations from their physicians higher than control (Always: 83.7%, 55.8%, respectively, P = .01).

CONCLUSIONS

NP education plus tablet use was not associated with significantly lower 30-day readmission rates in comparison with NP alone, but a positive trend was seen. Patient satisfaction trended higher and heart failure explanations were better with NP education plus tablet. A larger study is needed to determine if NP education plus tablet reduces readmission rates following heart failure admission.

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

Background

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

Objective

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

Methods

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

Results

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

Conclusions

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

Characterization of Patient Interest in Provider-Based Consumer Health Information Technology: Survey Study

BACKGROUND

Consumer health information technology can improve patient engagement in their health care and assist in navigating the complexities of health care delivery. However, the consumer health information technology offerings of health systems are often driven by provider rather than patient perspectives and inadequately address patient needs, thus limiting their adoption by patients. Consideration given to patients as stakeholders in the development of such technologies may improve adoption, efficacy, and consumer health information technology resource allocation.

OBJECTIVE

The aims of this paper were to measure patient interest in different health system consumer health information technology apps and determine the influence of patient characteristics on consumer health information technology interest.

METHODS

Patients seen at the Cleveland Clinic Neurological Institute were electronically surveyed on their interest in using different consumer health information technology apps. A self-efficacy scale, Patient Health Questionnaire-9 depression screen, and EuroQol 5 dimensions health-related quality of life scale were also completed by patients. Logistic regression was used to determine the influence of patient characteristics on interest in consumer health information technology in the categories of self-management, education, and communication.

RESULTS

The majority of 3852 patient respondents had an interest in all technology categories assessed in the survey. The highest interest was in apps that allow patients to ask questions of providers (3476/3852, 90.24%) and to schedule appointments (3211/3839, 83.64%). Patient interest in consumer health information technology was significantly associated with greater depression symptoms, worse quality of life, greater health self-efficacy, and smartphone ownership (P<.001 for all listed).

CONCLUSIONS

Patients should be viewed as active stakeholders in consumer health information technology development and their perspectives should consistently guide development efforts. Health systems should consider focusing on consumer health information technologies that assist patients in scheduling appointments and asking questions of providers. Patients with depression should also be considered for targeted consumer health information technology implementation. Health self-efficacy is a valid predictor of consumer health information technology interest and may play a role in the utilization of consumer health information technologies. Health systems, broadly, should put forth greater effort to understand the needs and interests of patients in the consumer health information technology development process. Consumer health information technology design and implementation may be improved by understanding which technologies patients want.

Mobile Technologies for Managing Heart Failure: A Systematic Review and Meta-analysis

BACKGROUND

Randomized clinical trials (RCTs) conducted among heart failure (HF) patients have reported that mobile technologies can improve HF-related outcomes. Our aim was to conduct a meta-analysis to evaluate m-Health's impact on healthcare services utilization, mortality, and cost.

METHODS

We searched MEDLINE, Cochrane, CINAHL, and EMBASE for studies published between 1966 and May-2017. We included studies that compared the use of m-Health in HF patients to usual care. m-Health is defined as the use of mobile computing and communication technologies to record and transmit data. The outcomes were HF-related and all-cause hospital days, cost, admissions, and mortality.

RESULTS

Our search strategy resulted in 1,494 articles. We included 10 RCTs and 1 quasi-experimental study, which represented 3,109 patients in North America and Europe. Patient average age range was 53-80 years, New York Heart Association (NYHA) class III, and Left Ventricular Ejection Fraction <50%. Patients were mostly monitored daily and followed for an average of 6 months. A reduction was seen in HF-related hospital days. Nonsignificant reductions were seen in HF-related cost, admissions, and mortality and total mortality. We found no significant differences for all-cause hospital days and admissions, and an increase in total cost.

CONCLUSIONS

m-Health reduced HF-related hospital days, showed reduction trends in total mortality and HF-related admissions, mortality and cost, and increased total costs related to more clinic visits and implementation of new technologies. More studies reporting consistent quality outcomes are warranted to give conclusive information about the effectiveness and cost-effectiveness of m-Health interventions for HF.