Introduction to Digital Health in Chronic Pain

Digital health applications offer transformative potential for managing chronic conditions, but their success often hinges on initial user setup. Implementing effective digital health onboarding strategies is a critical step in overcoming the high rates of early abandonment seen in mHealth tools. Many patients with chronic musculoskeletal pain, such as those with fibromyalgia, struggle to navigate complex installation and registration processes alone. This barrier frequently prevents them from accessing potentially beneficial self-management features.

A recent prospective study evaluated three distinct onboarding methods for a fibromyalgia management application. Researchers divided 48 patients into three groups to compare different levels of support. Group 1 followed a standard email-only protocol with detailed instructions. Group 2 received the same email plus a video tutorial. Meanwhile, Group 3 benefited from assisted in-person support, where a healthcare professional guided the setup and registration.

The Impact of Assisted Support on Adoption

The results highlighted a stark contrast between remote and assisted methods. The assisted group achieved a 100% adoption rate, with every participant successfully downloading and logging into the application. In contrast, the standard email group reached only 63% adoption, while the video group managed 77%. Consequently, the difference between in-person and remote onboarding was statistically significant (P=.009). These findings suggest that technical hurdles during account creation represent a major barrier that digital instructions alone cannot fully resolve.

Evaluating Long-Term Digital Health Onboarding Strategies

Despite the high initial adoption in the assisted group, long-term adherence remained a challenge across all participants. By the fourth week, only 27% of patients met the adherence criteria of connecting at least once per week. Furthermore, the overall retention rate dropped to 46% at the one-month mark. This decline indicates that while in-person assistance solves the "front door" problem, it does not guarantee sustained engagement.

Clinicians should recognize that the complexity of digital tools can alienate the very patients who need them most. However, the study also confirmed that once patients successfully navigated the setup, they found the application highly usable. The System Usability Scale (SUS) score reached 70.31, which indicates good usability. Therefore, healthcare providers should prioritize hands-on support during the initial clinical encounter to ensure patients can begin their digital therapy journey.

Frequently Asked Questions

Does video-based onboarding improve app adoption?

While video tutorials performed better than standard emails (77% vs 63%), they did not match the 100% success rate of assisted in-person support. Videos help, but they cannot replace the interactive troubleshooting provided by a professional.

Why is app adherence low in chronic pain patients?

Low adherence often stems from the burden of daily symptom monitoring and a lack of immediate perceived benefit. Even with successful onboarding, patients may disengage if the app does not provide continuous value or motivation.

Is assisted onboarding feasible in a busy clinical setting?

Although it requires more time initially, assisted onboarding ensures that the digital prescription is actually filled. This upfront investment significantly reduces the risk of the patient never using the recommended health tool.

Disclaimer: This content is for informational and educational purposes only. It does not constitute professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified healthcare provider with any questions you may have regarding a medical condition. Refer to the latest local and national guidelines for clinical practice.

References

Koller CN et al. Impact of Different Onboarding Strategies on Low Adoption and Engagement With a Self-Monitoring and Management App for Chronic Musculoskeletal Pain: Prospective Study. JMIR Mhealth Uhealth. 2026 Mar 30. doi: 10.2196/78827. PMID: 41911021.

Jacob C, et al. Factors Influencing the Use of a Mobile Health App for Self-Management of Chronic Diseases: Systematic Review. JMIR Mhealth Uhealth. 2020;8(2):e15509.

Adu MD, et al. Barriers and Facilitators to Adherence to mHealth Apps for Diabetes Self-Management: Systematic Review. JMIR Mhealth Uhealth. 2018;6(6):e144.