Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis.

Medically underserved communities have limited access to effective disease management resources in the U.S. Mobile health applications (mHealth apps) offer patients a cost-effective way to monitor and self-manage their condition and to communicate with providers; however, current diabetes self-management apps have rarely included end-users from underserved communities in the design process. This research documents key stakeholder-driven design requirements for a diabetes self-management app for medically underserved patients. Semi-structured survey interviews were carried out on 97 patients with diabetes and 11 healthcare providers from medically underserved counties in South Texas, to elicit perspectives and preferences regarding a diabetes self-management app, and their beliefs regarding such an app's usage and utility. Patients emphasized the need for accessible educational content and for quick access to guidance on regulating blood sugar, diet, and exercise and physical activity using multimedia rather than textual forms. Healthcare providers indicated that glucose monitoring, educational content, and the graphical visualization of diabetes data were among the top-rated app features. These findings suggest that specific design requirements for the underserved can improve the adoption, usability, and sustainability of such interventions. Designers should consider health literacy and numeracy, linguistic barriers, data visualization, data entry complexity, and information exchange capabilities.

Understanding the scope of downtime threats: A scoping review of downtime-focused literature and news media.

Electronic health record downtimes are any period where the computer systems are unavailable, either for planned or unexpected events. During an unexpected downtime, healthcare workers are rapidly forced to use rarely-practiced, paper-based methods for healthcare delivery. In some instances, patient safety is compromised or data exposed to parties seeking profit. This review provides a foundational perspective of the current state of downtime readiness as organizations prepare to handle downtime events. A search of technical news media related to healthcare informatics and a scoping review of the research literature were conducted. Findings ranged from theoretical exploration of downtime to empirical direct comparison of downtime versus normal operation. Overall, 166 US hospitals experienced a total of 701 days of downtime in 43 events between 2012 and 2018. Almost half (48.8%) of the published downtime events involved some form of cyber-attacks. Downtime contingency planning is still predominantly considered through a top-down organizational focus. We propose that a bottom-up approach, involving the front-line clinical staff responsible for executing the downtime procedure, will be beneficial. Significant new research support for the development of contingency plans will be needed.