Background Individuals with sickle cell disease (SCD) and their caregivers may benefit from technology-based resources to improve disease self-management. Objective This study explores the preferences regarding a mobile health (mHealth) app to facilitate self-management in adults with SCD and their caregivers living in urban and rural communities. Methods Five community listening sessions were conducted in 2 urban and rural communities among adults with SCD and their caregivers (N=43). Each session comprised 4 to 15 participants. Participants were asked questions on methods of finding information about SCD self-care, satisfaction with current methods for finding SCD management information, support for SCD management, important features for development of an mHealth app, and areas of benefit for using an mHealth app for SCD self-management. An inductive-deductive content analysis approach was implemented to identify the critical themes. Results Seven critical themes emerged, including the current methods for receiving self-management information, desired information, recommendations for communicating sickle cell self-management information, challenges of disease management, types of support received for disease management, barriers to and facilitators of using an mHealth app, and feature preferences for an mHealth app. In addition, we found that the participants were receptive to using mHealth apps in SCD self-management. Conclusions This study expands our knowledge on the use of mHealth technology to reduce information access barriers pertaining to SCD. The findings can be used to develop a patient-centered, user-friendly mHealth app to facilitate disease self-management, thus increasing access to resources for families of patients with SCD residing in rural communities.

Despite being the first genetic disease described, sickle cell disease (SCD) continues to afflict patients with immense pain, significant comorbidities and premature death. SCD has only recently benefited from new interventions with L-glutamine (2017), voxelotor (2019) and crizanlizumab (2019) representing the first Food and Drug Administration approved medications for SCD since hydroxyurea in 1997. These interventions have demonstrated some ability to reduce vaso-occlusive pain crisis episodes, improve hemoglobin (HGB), or reduce markers of hemolysis and have largely been used as preventative care measures. While these and additional approaches, such as hematopoietic stem cell transplant and gene therapy, can improve SCD care, many patients with SCD continue to suffer from severe acute SCD complications that can result in organ damage and early death.1,2 Unfortunately, in these situations, supportive care remains the primary approach to alleviate complications. The lack of more targeted approaches in part reflects an incomplete understanding of the pathophysiology and accompanying pharmacological targets that could specifically mitigate acute disease complications. We present a summary of three cases of children with SCD who developed significant acute complications that demonstrate underlying complement-mediated thrombotic microangiopathy (CM-TMA). These cases include a delayed hemolytic transfusion reaction (DHTR), vasoocclusive crisis (VOC) and drug-induced immune hemolytic anemia (DIIHA).

Smartphone-based telehealth holds the promise of shifting healthcare from the clinic to the home, but the inability for clinicians to conduct remote palpation, or touching, a key component of the physical exam, remains a major limitation. This is exemplified in the assessment of acute abdominal pain, in which a physician's palpation determines if a patient's pain is life-Threatening requiring emergency intervention/surgery or due to some less-urgent cause. In a step towards virtual physical examinations, we developed and report for the first time a "touch-capable" mHealth technology that enables a patient's own hands to serve as remote surrogates for the physician's in the screening of acute abdominal pain. Leveraging only a smartphone with its native accelerometers, our system guides a patient through an exact probing motion that precisely matches the palpation motion set by the physician. An integrated feedback algorithm, with 95% sensitivity and specificity, enabled 81% of tested patients to match a physician abdominal palpation curve with < 20% error after 6 attempts. Overall, this work addresses a key issue in telehealth that will vastly improve its capabilities and adoption worldwide.