Search Articles

View query in Help articles search

Search Results (1 to 10 of 1788 Results)

Download search results: CSV END BibTex RIS


Use of an Ingestible, Sensor-Based Digital Adherence System to Strengthen the Therapeutic Relationship in Serious Mental Illness

Use of an Ingestible, Sensor-Based Digital Adherence System to Strengthen the Therapeutic Relationship in Serious Mental Illness

Browne et al [9] produced visualizations coupling i DAS physiological data with adherence data in patients with diabetes, which allowed easily accessible interpretation of individual behavior patterns over time. i DAS data can provide the opportunity for patients to use ingestion data as a lens to reveal patterns in their own life, rhetorically asking, “What does nonadherence tell me about my own life?”

Anabel G Richey, Ildiko Kovacs, Sara Browne

JMIR Ment Health 2022;9(12):e39047

A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack

A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack

The 24-h day was divided into time blocks for clarity and to reduce recall error of exact time. Information regarding the medical consequences of a fall can inform both its severity and the clinical follow-up needed. Injury after a fall is considered distinct from seeking and receiving medical attention. Fall location can inform prevention efforts, including home safety; “some falls inside the home can be avoided through modifications such as removing a rug, better lighting etc.”

Valerie J Block, Kanishka Koshal, Jaeleene Wijangco, Nicolette Miller, Narender Sara, Kyra Henderson, Jennifer Reihm, Arpita Gopal, Sonam D Mohan, Jeffrey M Gelfand, Chu-Yueh Guo, Lauren Oommen, Alyssa Nylander, James A Rowson, Ethan Brown, Stephen Sanders, Katherine Rankin, Courtney R Lyles, Ida Sim, Riley Bove

JMIR Hum Factors 2024;11:e49331