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Unveiling the Best Life Coaching Software and Platforms

The Power of Life Coaching Platforms: A Comprehensive Guide to Building a Thriving Online Business

Unveiling the Best Life Coaching Software and Platforms

Mithyll Dave advocates for organic growth and shares the benefits it brings. Mithyll Dave, a Digital Coaching and Content Strategy Expert...

Background: Within the past decade, digital coaching programs (DCPs) have emerged as an evidence-based modality to improve mental well-being and emotional intelligence, although there is limited evidence in real-world contexts. Objective: This pragmatic retrospective cohort study sought to determine the preliminary effectiveness of a DCP in improving mental well-being and emotional intelligence within a real-world context. We hypothesized that there would be a significant increase in mental well-being and emotional intelligence. Methods: This study included 588 people that voluntarily enrolled in an eight-week, blended care DCP offered through their employers from October 2021 to August 2024. Participants completed the World Health Organization-Five Well-Being Index (WHO-5) at baseline and then weekly until the end of the program as well as the Brief Emotional Intelligence Scale-10 (BEIS-10) at baseline and the end of the program. Results: In multivariate linear mixed models adjusting for age, gender, program engagement, and program completion, we observed a significant increase in WHO-5 scores (Cohen’s d = 1.98, p

Background: Unhealthy lifestyle behaviors have been identified as a major cause of numerous health issues, with a steady global increase in their prevalence. Addressing this challenge requires comprehensive behavioral changes to promote the adoption of a sustainable healthier lifestyle. However, despite the prevalent need, cost-effective and successful digital coaching for health-related behavior change remains scarce. Objective: This study aimed to present a holistic framework for designing, modeling, and executing behavior change strategies through a multiagent reasoning system that selected optimal digital coaching techniques based on individual assessments and integrated data-driven decision-making. Methods: Behavioral change theories have been explored to design a multiagent system aimed at achieving sustainable lifestyle changes. This system selected behavior change techniques based on individual user assessments, prioritizing those with the strongest impact on key behavioral components. The framework incorporated evidence-based practices stemming from behavioral change science and integrated them into Healthentia’s behavioral change coaching scheme. Healthentia, a certified software as a medical device, implemented this framework in its non-medical modules that aim for lifestyle behavioral change and wellbeing specifically for chronic disease management, serving as an eHealth solution that advances decentralized care by enabling remote monitoring, data-driven content selection, and personalized digital coaching that adjusts to patient progress and engagement patterns. Results: This study explored the application of the Healthentia behavioral change coaching scheme in patients with type 2 diabetes. Behavioral attributes have been evaluated in 9 patients, yielding notable results in terms of fasting glucose dropping by an average of –17.3 mg/dL (Cohen d=1.5; P=.002), further underscored by a narrow 95% CI (–26.1 to –8.43), and in terms of weight and BMI, with mean reductions of –2.89 kg and –1.05 kg/m², respectively. These changes yielded large effect sizes (Cohen d approximately 1.05) and were statistically significant (P=.01). The positive outcomes were at least partly attributed to the personalized delivery of content, 71.66% (1125/1570) of which was well received by the patients. Conclusions: Our study of this multiagent system, which was tested through simulated patient behavior and preliminary, limited behavior observations of patients with type 2 diabetes, promises improved health outcomes using personalized digital coaching strategies. Future directions include optimizing the multiagent selection process; further exploring the type 2 diabetes program; conducting an in-depth evaluation of its results, including glycated hemoglobin measurements; and expanding its applications to other chronic conditions.

AI is able to extend the benefits of high-quality coaching to the entire workforce, but can digital technology deliver emotional intelligence?