Effectiveness, acceptability and usefulness of mobile applications for cardiovascular disease self-management: Systematic review with meta-synthesis of quantitative and qualitative data

Background: Mobile technologies are innovative, scalable approaches to reducing risk of cardiovascular disease (CVD) but evidence related to effectiveness and acceptability remains limited. We aimed to explore the effectiveness, acceptability and usefulness of mobile applications (apps) for CVD self-management and risk factor control.Design: Systematic review with meta-synthesis of quantitative and qualitative data.Methods: Comprehensive search of multiple databases (Medline, Embase, CINAHL, SCOPUS, and Cochrane CENTRAL) and grey literature. Studies were included if the intervention was primarily an app aimed at improving at least two lifestyle behaviours in adults with CVD. Meta-synthesis of quantitative and qualitative data was performed to review and evaluate findings.Results: Ten studies of varying designs including 607 patients from 5 countries were included. Interventions targeted hypertension, heart failure, stroke and cardiac rehabilitation populations. Factors that improved among app users were rehospitalisation rates, disease-specific knowledge, quality of life, psychosocial well-being, blood pressure, body mass index, waist circumference, cholesterol, and exercise capacity. Improved physical activity, medication adherence, and smoking cessation were also characteristic of app users. Appealing app features included tracking healthy behaviours, self-monitoring, , disease education, and personalised, customisable content. Small samples, short duration, and selection bias were noted limitations across some studies, as was the relatively low overall scientific quality of evidence. Conclusions: Multiple behaviours and CVD risk factors appear modifiable in the shorter term with use of mobile apps. Evidence for effectiveness requires larger, controlled studies of longer duration, with emphasis on process evaluation data to better understand important system- and patient-level characteristics

A realist evaluation approach to explaining the role of context in the impact of a complex eHealth intervention for improving prevention of cardiovascular disease

BackgroundReduction of cardiovascular disease (CVD) is a worldwide health priority and innovative uses of technology-based interventions may assist patients with improving prevention behaviours. Targeting these interventions to recipients most likely to benefit requires understanding how contexts of use influence responsiveness to the intervention, and how this interaction favours or discourages health behaviour. Using a realist evaluation approach, the aim of this study was to examine the contextual factors influencing behaviour change within a multi-feature eHealth intervention with personalised data integration from the primary care electronic health record (EHR).MethodsRealist evaluation of qualitative data from the Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) randomised trial (N = 934). Thirty-six participants from the intervention group (N = 486) who had completed 12 months of study follow-up were interviewed. Coding of transcripts was structured around configurations of contexts, mechanisms, and outcomes of intervention use. Contextual narratives were derived from thematic analysis of the interviews.ResultsMechanisms favouring positive health behaviour occurred when participants responded to four interactive features of the intervention. Facilitating mechanisms included greater cognitive engagement whereby participants perceived value and benefit, and felt motivated, confident and incentivised. Participants moved from being unconcerned (or unaware) to more task-oriented engagement with personal CVD risk profile and prevention. Increased personalisation occurred when modifiable CVD risk factors became relatable to lifestyle behaviour; and experiences of feeling greater agency/self-efficacy emerged. Use and non-use of the intervention were influenced by four overarching narratives within the individual’s micro-level and meso-level environments: illness experiences; receptiveness to risk and prevention information; history of the doctor-patient relationship; and relationship with technology.ConclusionsIntervention-context interactions are central to understanding how change mechanisms activate within complex interventions to exert their impact on recipients. Intervention use and non-use were context-dependent, underscoring the need for further research to target eHealth innovations to those most likely to benefit

Utilisation of government-subsidised chronic disease management plans and cardiovascular care in Australian general practices

BACKGROUND: Government-subsidised general practice management plans (GPMPs) facilitate chronic disease management; however, impact on cardiovascular disease (CVD) is unknown. We aimed to determine utilisation and impact of GPMPs for people with or at elevated risk of CVD. METHODS: Secondary analysis of baseline data from the CONNECT randomised controlled trial linked to Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) claims. Multivariate regression examining the association of GPMP receipt and review with: (1) ≥ 1 MBS-subsidised allied health visit in the previous 24 months; (2) adherence to dual cardioprotective medication (≥ 80% of days covered with a dispensed PBS prescription); and (3) meeting recommended LDL-cholesterol and blood pressure (BP) targets concurrently. RESULTS: Overall, 905 trial participants from 24 primary health care services consented to data linkage. Participants with a GPMP (46.6%, 422/905) were older (69.4 vs 66.0 years), had lower education (32.3% vs 24.7% high school or lower), lower household income (27.5% vs 17.0% in lowest bracket), and more comorbidities, particularly diabetes (42.2% vs 17.6%) compared to those without a GPMP. After adjustment, a GPMP was strongly associated with allied health visits (odds ratio (OR) 14.80, 95% CI: 9.08–24.11) but not higher medication adherence rates (OR 0.82, 95% CI: 0.52–1.29) nor meeting combined LDL and BP targets (OR 1.31, 95% CI: 0.72–2.38). Minor differences in significant covariates were noted in models using GPMP review versus GPMP initiation. CONCLUSIONS: In people with or at elevated risk of CVD, GPMPs are under-utilised overall. They are targeting high-needs populations and facilitate allied health access, but are not associated with improved CVD risk management, which represents an opportunity for enhancing their value in supporting guideline-recommended care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-022-01763-2

Persuasive design features within a consumer-focused eHealth intervention integrated with the electronic health record: a mixed methods study of effectiveness and acceptability

Introduction: eHealth strategies targeting health-related behaviour often incorporate persuasive software design. To further engage patients with their overall health management, consumer-facing web portals may be integrated with data from one or more care providers. This study aimed to explore effectiveness for healthier behaviour of persuasive design characteristics within a web application integrated with the primary health care electronic record; also patient and general practitioner (GP) preferences for future integrated records. Methods: Mixed methods study within the Consumer Navigation of Electronic Cardiovascular Tools randomised controlled trial. Participants were patients with moderate-high risk of cardiovascular disease, and their GPs. Survey and web analytic data were analysed with descriptive statistics. Interview and focus group transcripts were recorded, transcribed, coded and analysed for themes.Results: Surveys (n=397) received from patients indicated improved medication adherence (31.8%); improved mental health and well-being (40%); higher physical activity (47%); and healthier eating (61%). Users of the interactive features reported benefiting from personalised cardiovascular disease risk score (73%); goal tracking (69%); risk factor self-monitoring (52%) and receipt of motivational health tips (54%). Focus group and interview participants (n=55) described customisations that would increase portal appeal and relevance, including more provider interaction. Of the GP survey respondents (n=38), 74% reported increased patient attendance and engagement with their care. For future integrated portals, 94% of GPs were in favour and key themes among interviewees (n=17) related to design optimisation, impact on workflow and data security. Conclusion: Intervention features reflecting the persuasive design categories of Primary Task support, Dialogue support and System Credibility support facilitated healthier lifestyle behaviour. Patients valued customisable functions and greater patient-provider interactivity. GPs identified system challenges but saw advantages for patients and the health care relationship. Future studies could further elucidate the persuasive design principles that are at play and which may promote adoption of EHR-integrated consumer portals

eHealth Literacy: Predictors in a Population With Moderate-to-High Cardiovascular Risk

Background: Electronic health (eHealth) literacy is a growing area of research parallel to the ongoing development of eHealth interventions. There is, however, little and conflicting information regarding the factors that influence eHealth literacy, notably in chronic disease. We are similarly ill-informed about the relationship between eHealth and health literacy, 2 related yet distinct health-related literacies.Objective: The aim of our study was to investigate the demographic, socioeconomic, technology use, and health literacy predictors of eHealth literacy in a population with moderate-to-high cardiovascular risk.Methods: Demographic and socioeconomic data were collected from 453 participants of the CONNECT (Consumer Navigation of Electronic Cardiovascular Tools) study, which included age, gender, education, income, cardiovascular-related polypharmacy, private health care, main electronic device use, and time spent on the Internet. Participants also completed an eHealth Literacy Scale (eHEALS) and a Health Literacy Questionnaire (HLQ). Univariate analyses were performed to compare patient demographic and socioeconomic characteristics between the low (eHEAL

Implementation of a consumer-focused eHealth intervention for people with moderate-to-high cardiovascular disease risk: protocol for a mixed-methods process evaluation

Technology-mediated strategies have potential to engage patients in modifying unhealthy behaviour and improving medication adherence to reduce morbidity and mortality from cardiovascular disease (CVD). Furthermore, electronic tools offer a medium by which consumers can more actively navigate personal healthcare information. Understanding how, why and among whom such strategies have an effect can help determine the requirements for implementing them at a scale. This paper aims to detail a process evaluation that will (1) assess implementation fidelity of a multicomponent eHealth intervention; (2) determine its effective features; (3) explore contextual factors influencing and maintaining user engagement; and (4) describe barriers, facilitators, preferences and acceptability of such interventions.Methods and analysis: Mixed-methods sequential design to derive, examine, triangulate and report data from multiple sources. Quantitative data from 3 sources will help to inform both sampling and content framework for the qualitative data collection: (1) surveys of patients and general practitioners (GPs); (2) software analytics; (3) programme delivery records. Qualitative data from interviews with patients and GPs, focus groups with patients and field notes taken by intervention delivery staff will be thematically analysed. Concurrent interview data collection and analysis will enable a thematic framework to evolve inductively and inform theory building, consistent with a realistic evaluation perspective. Eligible patients are those at moderate-to-high CVD risk who were randomised to the intervention arm of a randomised controlled trial of an eHealth intervention and are contactable at completion of the follow-up period; eligible GPs are the primary healthcare providers of these patients.Ethics and dissemination: Ethics approval has been received from the University of Sydney Human Research Ethics Committee and the Aboriginal Health and Medical Research Council (AH&MRC) of New South Wales. Results will be disseminated via scientific forums including peer-reviewed publications and national and international conferences

Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses

IntroductionElectronic health (eHealth) strategies are evolving making it important to have valid scales to assess eHealth and health literacy. Item response theory methods, such as the Rasch measurement model, are increasingly used for the psychometric evaluation of scales. This paper aims to examine the internal construct validity of an eHealth and health literacy scale using Rasch analysis in a population with moderate to high cardiovascular disease risk.MethodsThe first 397 participants of the CONNECT study completed the electronic health Literacy Scale (eHEALS) and the Health Literacy Questionnaire (HLQ). Overall Rasch model fit as well as five key psychometric properties were analysed: unidimensionality, response thresh-olds, targeting, differential item functioning and internal consistency.ResultsThe eHEALS had good overall model fit (χ2 = 54.8, p = 0.06), ordered response thresholds, reasonable targeting and good internal consistency (person separation index (PSI) 0.90). It did, however, appear to measure two constructs of eHealth literacy. The HLQ subscales (except subscale 5) did not fit the Rasch model (χ2: 18.18–60.60, p: 0.00–0.58) and had sub-optimal targeting for most subscales. Subscales 6 to 9 displayed disordered thresholds indi-cating participants had difficulty distinguishing between response options. All subscales did, nonetheless, demonstrate moderate to good internal consistency (PSI: 0.62–0.82)

Factors Influencing Engagement, Perceived Usefulness and Behavioral Mechanisms Associated with a Text Message Support Program

Introduction Many studies have now demonstrated the efficacy of text messaging in positively changing behaviours. We aimed to identify features and factors that explain the effectiveness of a successful text messaging program in terms of user engagement, perceived usefulness, behavior change and program delivery preferences. Methods Mixed methods qualitative design combining four data sources; (i) analytic data extracted directly from the software system, (ii) participant survey, (iii) focus groups to identify barriers and enablers to implementation and mechanisms of effect and (iv) recruitment screening logs and text message responses to examine engagement. This evaluation was conducted within the TEXT ME trial—a parallel design, single-blind randomized controlled trial (RCT) of 710 patients with coronary heart disease (CHD). Qualitative data were interpreted using inductive thematic analysis. Results 307/352 (87% response rate) of recruited patients with CHD completed the program evaluation survey at six months and 25 participated in a focus group. Factors increasing engagement included (i) ability to save and share messages, (ii) having the support of providers and family, (iii) a feeling of support through participation in the program, (iv) the program being initiated close to the time of a cardiovascular event, (v) personalization of the messages, (vi) opportunity for initial face-to-face contact with a provider and (vii) that program and content was perceived to be from a credible source. Clear themes relating to program delivery were that diet and physical activity messages were most valued, four messages per week was ideal and most participants felt program duration should be provided for at least for six months or longer. Conclusions This study provides context and insight into the factors influencing consumer engagement with a text message program aimed at improving health-related behavior. The study suggests program components that may enhance potential success but will require integration at the development stage to optimize up-scaling

the prevention of chronic diseases through ehealth a practical overview

Disease prevention is an umbrella term embracing individual-based or population-based interventions aimed at preventing the manifestation of diseases (primary prevention), reducing the impact of a disease that has arisen (secondary prevention), or mitigating the impact of an ongoing illness (tertiary prevention). Digital health has the potential to improve prevention of chronic diseases. Its application ranges from effective mHealth weight-loss intervention to prevent or delay the onset of diabetes in overweight adults to the cost-effective intervention on the provision of mental-health care via mobile-based or Internet-based programs to reduce the incidence or the severity of anxiety. The present contribution focuses on the effectiveness of eHealth preventive interventions and on the role of digital health in improving health promotion and disease prevention. We also give a practical overview on how eHealth interventions have been effectively implemented, developed, and delivered for the primary, secondary, and tertiary prevention of chronic diseases

Evaluation of a Consumer-Focused eHealth Strategy for Cardiovascular Disease Risk Reduction in Australian Primary Care Attendees

Cardiovascular disease (CVD) is the leading cause of non-communicable disease mortality worldwide and prevention is a critical national and international priority. Education, counselling and pharmacotherapies target modifiable determinants of atherosclerotic CVD. Helping patients adopt and adhere to prevention recommendations requires innovative strategies. Technology-based approaches offer an opportunity to increase consumer participation in disease prevention behaviours, and in their health care more generally. Alongside effectiveness outcomes, trials of complex health interventions require evaluation of core process questions about fidelity of implementation, which components work, and the role of contextual variables. This thesis presents a systematic mixed methods process evaluation of the design and implementation of a novel complex intervention for CVD risk factor reduction in the primary care setting. Chapter 1 describes the epidemiology and prevention of CVD, and the place of process evaluation in trials of eHealth innovations targeting chronic disease management. Thereafter, the thesis represents a ‘lifecycle’ approach to quality in eHealth evaluation research, from needs assessment and concept formation (Chapters 2 and 3); to implementation (Chapter 4); to exploratory and explanatory phases looking at variations in uptake (Chapter 5); and finally to stakeholder satisfaction and impact (Chapters 6 and 7). Overall, patients with CVD and general practitioners (GPs) were receptive to eHealth for disease self-management. Benefits have been reported for some important clinical measures and lifestyle behaviours. Influential sociocultural factors for eHealth engagement and non-usage attrition were elucidated from exploring the interaction of the intervention with contexts of use. Process evaluation enriched the evidence for how an innovative eHealth approach to CVD risk reduction was designed, implemented, used, and accepted by GPs and their patients