Background: Death and disability from coronary heart disease (CHD) can be largely reduced by improving risk factor management. However, adhering to evidence-based recommendations is challenging and requires interventions at the level of the patient, provider, and health system. Objective: The aim of this study was to develop an Intelligent Individualized Cardiovascular App for Risk Elimination (iCARE) to facilitate adherence to health behaviors and preventive medications, and to test the usability of iCARE. Methods: We developed iCARE based on a user-centered design approach, which included 4 phases: (1) function design, (2) iterative design, (3) expert inspections and walkthroughs of the prototypes, and (4) usability testing with end users. The usability testing of iCARE included 2 stages: stage I, which included a task analysis and a usability evaluation (January to March 2019) of the iCARE patient app using the modified Health Information Technology Usability Survey (Health-ITUES); and stage II (June 2020), which used the Health-ITUES among end users who used the app for 6 months. The end users were individuals with a confirmed diagnosis of CHD from 2 university-affiliated hospitals in Beijing, China. Results: iCARE consists of a patient app, a care provider app, and a cloud platform. It has a set of algorithms that trigger tailored feedback and can send individualized interventions based on data from initial assessment and health monitoring via manual entry or wearable devices. For stage I usability testing, 88 hospitalized patients (72% [63/88] male; mean age 60 [SD 9.9] years) with CHD were included in the study. The mean score of the usability testing was 90.1 (interquartile range 83.3-99.0). Among enrolled participants, 90% (79/88) were satisfied with iCARE; 94% (83/88) and 82% (72/88) reported that iCARE was useful and easy to use, respectively. For stage II usability testing, 61 individuals with CHD (85% [52/61] male; mean age 53 [SD 8.2] years) who were from an intervention arm and used iCARE for at least six months were included. The mean total score on usability testing based on the questionnaire was 89.0 (interquartile distance: 77.0-99.5). Among enrolled participants, 89% (54/61) were satisfied with the use of iCARE, 93% (57/61) perceived it as useful, and 70% (43/61) as easy to use. Conclusions: This study developed an intelligent, individualized, evidence-based, and theory-driven app (iCARE) to improve patients’ adherence to health behaviors and medication management. iCARE was identified to be highly acceptable, useful, and easy to use among individuals with a diagnosis of CHD. Trial Registration: Chinese Clinical Trial Registry ChiCTR-INR-16010242; https://tinyurl.com/2p8bkrew

Purpose: The purpose of the study was to examine the associations of self-efficacy, social support, and symptom distress with perceived problem-solving and glycemic control among patients with type 2 diabetes. Method: Using baseline data from a parent study, which examined the effect of a problem-solving-focused intervention on medication adherence among patients with type 2 diabetes, this secondary analysis examined the relationships among self-efficacy, social support, symptom distress, problem-solving, and A1C. Of 358 patients enrolled at baseline, 304 (mean age = 64.1 years, 57.2% female) were included in the current analysis. Multiple linear regression was used to identify potential correlates of problem-solving and A1C. Results: The results showed that self-efficacy, social support, and symptom distress were independent predictors of problem-solving; they significantly improved the prediction of perceived problem-solving in diabetes management after controlling covariates. Adding problem-solving to the model did not improve the prediction for A1C. Conclusion: The current study suggests that self-efficacy, social support, and symptom distress are essential factors associated with patients’ perceived problem-solving in diabetes management. Researchers and clinicians should consider both personal factors and psychosocial factors such as self-efficacy, social support, and symptom distress when examining patients perceived problem-solving and developing tailored interventions to improve diabetes management. In addition, health care providers should consider these important aspects when providing tailored care to this patient population.

Background: Dietary behavior is a key component in the self-management of patients with Type 2 diabetes (T2DM), as it is essential for glycemic control and preventing diabetic complications. However, it is challenging for patients with diabetes to make sustainable dietary behavior changes and achieve long-term optimal glycemic control. Objectives: Dietary behavior changes involve present efforts to achieve future benefits. The primary aim of this study was to investigate the relationships among time perspective, dietary behaviors, and health outcomes in patients with T2DM. Based on the temporal self-regulation theory and previous research, the secondary aim of the study was to explore how time perspective influences dietary behaviors. Methods: Following convenient sampling (N = 329), a cross-sectional study was conducted in patients with T2DM between November 2021 and October 2022. Data were collected using self-reported questionnaires and the retrieval of clinical information from medical records. Hierarchical regression and path analysis were used to explore the relationships among study variables. Results: Our analyses showed that a future-oriented time perspective was associated with better dietary behavior but was not significantly related to hemoglobin A1c. Hierarchical regression analysis also demonstrated that having a more future-oriented time perspective was associated with healthier dietary behavior after controlling covariates. Based on the theory and path analysis, there was an indirect effect of future time perspective on dietary behavior through self-control capacity and intention. Discussion: The study reveals that a future-oriented time perspective can promote healthier dietary behavior when providing care for patients with T2DM. As a theoretical framework, the temporal self-regulation theory offers references for researchers and clinicians to take into consideration patients’ time perspectives and their intentions and self-control capacity when developing interventional programs to improve dietary behaviors.