Students' perceived research skills development and satisfaction after completion of a mandatory research project: results from five cohorts of the Sydney medical program.

BACKGROUND: Research activities undertaken during University studies contribute to preparation of medical students for practice of evidence-based medicine. This study aimed to understand medical students' experiences, perceived research skills development and satisfaction associated with completion of mandatory research projects. METHODS: An online survey was sent to five cohorts of students (n = 1375) from years 2017-2021 at the completion of their research projects. Univariate analysis was conducted to understand students' perception of research skills development, followed by linear regression modeling to explore factors influencing satisfaction with their research project. Manifest content analysis employing a framework approach was used to analyse qualitative data from responses to open ended questions. RESULTS: Response rate was 42%, with 513 (89%) returned surveys being complete and included in analysis. Whilst 37% of students felt they had requisite research skills before undertaking the research project, 84% reported they had these skills after completing the project (χ2 = 8.99, P = 0.02). Mean satisfaction score of the students was 5.0/10 (+/- 2.5, median = 6 (IQR = 3.0-7.0) with 59% of students reporting satisfaction scores higher than the average. Higher satisfaction scores were reported by those who perceived that: research methods and teaching was useful in preparing them for conducting research; the research project helped them acquire new skills; the project resulted in peer-reviewed publication; and, who felt supported by their supervisors. Responses to open ended questions offered important insights into student experience and emphasised the importance of supportive supervisors and the need for a dedicated research block in the busy medical program. CONCLUSIONS: The majority of students reported positive outcomes from the mandatory research project. Student satisfaction can be improved by ensuring supportive research environments and high-quality supervision, and inclusion of dedicated research time in the medical curriculum.

The health digital twin to tackle cardiovascular disease-a review of an emerging interdisciplinary field.

Potential benefits of precision medicine in cardiovascular disease (CVD) include more accurate phenotyping of individual patients with the same condition or presentation, using multiple clinical, imaging, molecular and other variables to guide diagnosis and treatment. An approach to realising this potential is the digital twin concept, whereby a virtual representation of a patient is constructed and receives real-time updates of a range of data variables in order to predict disease and optimise treatment selection for the real-life patient. We explored the term digital twin, its defining concepts, the challenges as an emerging field, and potentially important applications in CVD. A mapping review was undertaken using a systematic search of peer-reviewed literature. Industry-based participants and patent applications were identified through web-based sources. Searches of Compendex, EMBASE, Medline, ProQuest and Scopus databases yielded 88 papers related to cardiovascular conditions (28%, n = 25), non-cardiovascular conditions (41%, n = 36), and general aspects of the health digital twin (31%, n = 27). Fifteen companies with a commercial interest in health digital twin or simulation modelling had products focused on CVD. The patent search identified 18 applications from 11 applicants, of which 73% were companies and 27% were universities. Three applicants had cardiac-related inventions. For CVD, digital twin research within industry and academia is recent, interdisciplinary, and established globally. Overall, the applications were numerical simulation models, although precursor models exist for the real-time cyber-physical system characteristic of a true digital twin. Implementation challenges include ethical constraints and clinical barriers to the adoption of decision tools derived from artificial intelligence systems.

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.

Research supervisors' views of barriers and enablers for research projects undertaken by medical students; a mixed methods evaluation of a post-graduate medical degree research project program.

BACKGROUND: Medical degree programs use scholarly activities to support development of basic research skills, critical evaluation of medical information and promotion of medical research. The University of Sydney Doctor of Medicine Program includes a compulsory research project. Medical student projects are supervised by academic staff and affiliates, including biomedical science researchers and clinician-academics. This study investigated research supervisors' observations of the barriers to and enablers of successful medical student research projects. METHODS: Research supervisors (n = 130) completed an anonymous, online survey after the completion of the research project. Survey questions targeted the research supervisors' perceptions of barriers to successful completion of projects and sources of support for their supervision of the student project. Data were analysed by descriptive statistics and using manifest content analysis. Further quantitative investigation was made by cross-tabulation according to prior research supervision experience. RESULTS: Research supervisors reported that students needed both generic skills (75%) and research-based skills (71%) to successfully complete the project. The major barrier to successful research projects was the lack of protected time for research activities (61%). The assessment schedule with compulsory progress milestones enabled project completion (75%), and improved scientific presentation (90%) and writing (93%) skills. Supervisors requested further support for their students for statistics (75%), scientific writing (51%), and funding for projects (52%). Prior research supervision experience influenced the responses. Compared to novice supervisors, highly experienced supervisors were significantly more likely to want students to be allocated dedicated time for the project (P < 0.01) and reported higher rates of access to expert assistance in scientific writing, preparing ethics applications and research methodology. Novice supervisors reported higher rates of unexpected project delays and data acquisition problems (P < 0.05). Co-supervision was favoured by experienced supervisors but rejected by novice supervisors. CONCLUSIONS: Both generic and research-related skills were important for medical student research project success. Overall, protected research time, financial and other academic support were identified as factors that would improve the research project program. Prior research supervision experience influences perceptions of program barriers and enablers. These findings will inform future support needs for projects and research supervisor training for the research supervision role.

An Internet-Based Intervention for Cardiovascular Disease Management Integrated With Primary Care Electronic Health Records: Mixed Methods Evaluation of Implementation Fidelity and User Engagement.

BACKGROUND: Growing evidence supports the benefits of eHealth interventions to increase patient engagement and improve outcomes for a range of conditions. However, ineffective program delivery and usage attrition limit exposure to these interventions and may reduce their effectiveness. OBJECTIVE: This study aims to evaluate the delivery fidelity of an eHealth intervention, describe use patterns, compare outcomes between low and high users, and identify mediating factors on intervention delivery and receipt. METHODS: This is a mixed methods study of an internet-based intervention being evaluated for effectiveness in a randomized controlled trial (RCT). The intervention comprised medication and cardiovascular disease (CVD) risk data uploaded from the primary care electronic health record (EHR); interactive, personalized CVD risk score estimation; goal setting and self-monitoring; an interactive social forum; and optional receipt of heart health messages. Fidelity was assessed over 12 months. Trial outcomes were compared between low and high users. Data sources included program delivery records, web log data, trial data, and thematic analysis of communication records. RESULTS: Most participants in the intervention group (451/486, 93%) had an initial training session conducted by telephone (413/447, 92.4% of participants trained), with a mean duration of 44 minutes (range 10-90 minutes). Staff conducted 98.45% (1776/1804) of the expected follow-ups, mostly by telephone or email. Of the 451 participants who commenced log-ins, 46.8% (211) were categorized as low users (defined as at least one log-in in 3 or fewer months of follow-up), 40.4% (182) were categorized as high users (at least one log-in in more than 3 months of follow-up), and 12.8% (58) were nonadopters (no log-ins after their training session). The mean log-in frequency was 3-4 per month in ongoing users. There was no significant difference between the groups in the primary trial outcome of adherence to guideline-recommended medications (P=.44). In unadjusted analyses, high users had significantly greater eHealth literacy scores (P=.003) and were more likely to meet recommended weekly targets for fruit (P=.03) and fish (P=.004) servings; however, the adjusted findings were not significant. Interactive screen use was highest for goal tracking and lowest for the chat forum. Screens with EHR-derived data held only an early interest for most users. Fidelity measures (reach, content, dose delivered, and dose received) were influenced by the facilitation strategies used by staff, invisible qualities of staff-participant communication, and participants' responsiveness to intervention attributes. CONCLUSIONS: A multifeature internet-based intervention was delivered with high fidelity to the RCT protocol and was regularly used by 40.4% (182/451) of users over 12 months. Higher log-in frequency as an indicator of greater intervention exposure was not associated with statistically significant improvements in eHealth literacy scores, lifestyle changes, or clinical outcomes. Attributes of the intervention and individualized support influenced initial and ongoing use.

A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial.

Digital health applications (apps) have the potential to improve health behaviors and outcomes. We aimed to examine the effectiveness of a consumer web-based app linked to primary care electronic health records (EHRs). CONNECT was a multicenter randomized controlled trial involving patients with or at risk of cardiovascular disease (CVD) recruited from primary care (Clinical Trial registration ACTRN12613000715774). Intervention participants received an interactive app which was pre-populated and refreshed with EHR risk factor data, diagnoses and, medications. Interactive risk calculators, motivational messages and lifestyle goal tracking were also included. Control group received usual health care. Primary outcome was adherence to guideline-recommended medications (≥80% of days covered for blood pressure (BP) and statin medications). Secondary outcomes included attainment of risk factor targets and eHealth literacy. In total, 934 patients were recruited; mean age 67.6 (±8.1) years. At 12 months, the proportion with >80% days covered with recommended medicines was low overall and there was no difference between the groups (32.8% vs. 29.9%; relative risk [RR] 1.07 [95% CI, 0.88-1.20] p = 0.49). There was borderline improvement in the proportion meeting BP and LDL targets in intervention vs. control (17.1% vs. 12.1% RR 1.40 [95% CI, 0.97-2.03] p = 0.07). The intervention was associated with increased attainment of physical activity targets (87.0% intervention vs. 79.7% control, p = 0.02) and e-health literacy scores (72.6% intervention vs. 64.0% control, p = 0.02). In conclusion, a consumer app integrated with primary health care EHRs was not effective in increasing medication adherence. Borderline improvements in risk factors and modest behavior changes were observed.

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

BACKGROUND: Reduction 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). METHODS: Realist 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. RESULTS: Mechanisms 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. CONCLUSIONS: Intervention-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.

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.

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 but evidence related to effectiveness and acceptability remains limited. We aimed to explore the effectiveness, acceptability and usefulness of mobile applications (apps) for cardiovascular disease 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 cardiovascular disease. Meta-synthesis of quantitative and qualitative data was performed to review and evaluate findings. Results Ten studies of varying designs including 607 patients from five 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 cardiovascular disease 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.

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

INTRODUCTION: Electronic 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. METHODS: The 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 thresholds, targeting, differential item functioning and internal consistency. RESULTS: The 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 suboptimal targeting for most subscales. Subscales 6 to 9 displayed disordered thresholds indicating participants had difficulty distinguishing between response options. All subscales did, nonetheless, demonstrate moderate to good internal consistency (PSI: 0.62-0.82). CONCLUSION: Rasch analyses demonstrated that the eHEALS has good measures of internal construct validity although it appears to capture different aspects of eHealth literacy (e.g. using eHealth and understanding eHealth). Whilst further studies are required to confirm this finding, it may be necessary for these constructs of the eHEALS to be scored separately. The nine HLQ subscales were shown to measure a single construct of health literacy. However, participants' scores may not represent their actual level of ability, as distinction between response categories was unclear for the last four subscales. Reducing the response categories of these subscales may improve the ability of the HLQ to distinguish between different levels of health literacy.

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 (eHEALS<26) and high (eHEALS≥26) eHealth literacy groups. To then determine the predictors of low eHealth literacy, multiple-adjusted generalized estimating equation logistic regression model was used. This technique was also used to examine the correlation between eHealth literacy and health literacy for 4 predefined literacy themes: navigating resources, skills to use resources, usefulness for oneself, and critical evaluation. RESULTS: The univariate analysis showed that patients with lower eHealth literacy were older (68 years vs 66 years, P=.01), had lower level of education (P=.007), and spent less time on the Internet (P<.001). However, multiple-adjusted generalized estimating equation logistic regression model demonstrated that only the time spent on the Internet (P=.01) was associated with the level of eHealth literacy. Regarding the comparison between the eHEALS items and HLQ scales, a positive linear relationship was found for the themes "usefulness for oneself" (P=.049) and "critical evaluation" (P=.01). CONCLUSIONS: This study shows the importance of evaluating patients' familiarity with the Internet as reflected, in part, by the time spent on the Internet. It also shows the importance of specifically assessing eHealth literacy in conjunction with a health literacy assessment in order to assess patients' navigational knowledge and skills using the Internet, specific to the use of eHealth applications.

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

INTRODUCTION: 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. TRIAL REGISTRATION NUMBER: ANZCTR 12613000715774.

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. TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Registry, ACTRN12611000161921.

Development of an integrated e-health tool for people with, or at high risk of, cardiovascular disease: The Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) web application.

BACKGROUND: Cardiovascular disease is the leading killer globally and secondary prevention substantially reduces risk. Uptake of, and adherence to, face-to-face preventive programs is often low. Alternative models of care are exploiting the prominence of technology in daily life to facilitate lifestyle behavior change. OBJECTIVE: To inform the development of a web-based application integrated with the primary care electronic health record, we undertook a collaborative user-centered design process to develop a consumer-focused e-health tool for cardiovascular disease risk reduction. METHODS: A four-phase iterative process involved ten multidisciplinary clinicians and academics (primary care physician, nurses and allied health professionals), two design consultants, one graphic designer, three software developers and fourteen proposed end-users. This 18-month process involved, (1) defining the target audience and needs, (2) pilot testing and refinement, (3) software development including validation and testing the algorithm, (4) user acceptance testing and beta testing. From this process, researchers were able to better understand end-user needs and preferences, thereby improving and enriching the increasingly detailed system designs and prototypes for a mobile responsive web application. RESULTS: We reviewed 14 relevant applications/websites and sixteen observational and interventional studies to derive a set of core components and ideal features for the system. These included the need for interactivity, visual appeal, credible health information, virtual rewards, and emotional and physical support. The features identified as essential were: (i) both mobile and web-enabled 'apps', (ii) an emphasis on medication management, (iii) a strong psychosocial support component. Subsequent workshops (n=6; 2×1.5h) informed the development of functionality and lo-fidelity sketches of application interfaces. These ideas were next tested in consumer focus groups (n=9; 3×1.5h). Specifications for the application were refined from this feedback and a graphic designer iteratively developed the interface. Concurrently, the electronic health record was linked to the consumer portal. A written description of the final algorithms for all decisions and outputs was provided to software programmers. These algorithmic outputs to the app were first validated against those obtained from an independently programmed version in STATA 11. User acceptance testing (n=5, 2×1.0h) and beta testing revealed technical bugs and interface concerns across commonly-used web browsers and smartphones. These were resolved and re-tested until functionality was optimized. CONCLUSION: End-users of a cardiovascular disease prevention program have complex needs. A user-centered design approach aided the integration of these needs into the concept, specifications, development and refinement of a responsive web application for risk factor reduction and disease prevention.

The mobile revolution--using smartphone apps to prevent cardiovascular disease.

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. Mobile technology might enable increased access to effective prevention of CVDs. Given the high penetration of smartphones into groups with low socioeconomic status, health-related mobile applications might provide an opportunity to overcome traditional barriers to cardiac rehabilitation access. The huge increase in low-cost health-related apps that are not regulated by health-care policy makers raises three important areas of interest. Are apps developed according to evidenced-based guidelines or on any evidence at all? Is there any evidence that apps are of benefit to people with CVD? What are the components of apps that are likely to facilitate changes in behaviour and enable individuals to adhere to medical advice? In this Review, we assess the current literature and content of existing apps that target patients with CVD risk factors and that can facilitate behaviour change. We present an overview of the current literature on mobile technology as it relates to prevention and management of CVD. We also evaluate how apps can be used throughout all age groups with different CVD prevention needs.

Barriers to preemptive kidney transplantation.

BACKGROUND: Patients who receive kidney transplants before beginning dialysis (known as preemptive transplantation) have lower rates of morbidity and mortality and a longer work life than do those who receive them after beginning dialysis. But in the United States fewer than 2.5% of patients with end-stage kidney disease undergo transplantation as their initial therapy. OBJECTIVE: To understand barriers to early transplantation, the National Kidney Foundation (NKF) surveyed patients randomly selected from its database. METHODS: A 28-question survey on socioeconomic factors; perceptions, fears, and concerns about living-donor transplantation; and education regarding transplantation as a treatment option was distributed to a total of 3,586 people randomly chosen from the NKF's database. The database is not limited to kidney patients, and 19.3% of the responses were disqualified because the respondents didn't have chronic kidney disease (CKD) or hadn't undergone kidney transplantation. The 417 responses acceptable for analysis represented at least 12% of qualified survey recipients. Of these, 316 (76%) were kidney transplant recipients from either living or deceased donors and 101 (24%) were patients with CKD who had never undergone transplantation. The surveys sent to the latter group contained slight modifications from those sent to the transplant recipients. We compared responses from people who had undergone kidney transplantation with responses from those who hadn't undergone the procedure. RESULTS: Renal transplant recipients had higher incomes and more education, were more often white, and were more likely to have learned about treatment options from a physician than were those who hadn't undergone transplantation. Half of the respondents who hadn't undergone the procedure believed that dialysis must precede transplantation, and 60% viewed transplantation as a last resort. Out-of-pocket expenses were greater for transplant recipients, even though worries about future medical costs were common in both groups. Most respondents were willing to accept a kidney from a living donor, although they were uncomfortable with asking someone to donate. CONCLUSIONS: Substantial barriers to preemptive kidney transplantation remain for patients with CKD; a lack of financial resources and educational deficits were the most common barriers found in the survey.