CYHCJan 13, 2016

Your Activities of Daily Living (YADL): An Image-based Survey Technique for Patients with Arthritis

arXiv:1601.03278v110 citations
Originality Synthesis-oriented
AI Analysis

This addresses the issue of patient burden in healthcare monitoring for arthritis patients, but it is incremental as it builds on existing survey methods with a new interface.

The paper tackled the problem of measuring Activities of Daily Living (ADL) for arthritis patients using traditional text-based surveys, which can cause user fatigue, by introducing YADL, an image-based personalized survey technique that improves efficiency and patient experience, with promising results from interactions with a small number of patients.

Healthcare professionals use Activities of Daily Living (ADL) to characterize a patient's functional status and to evaluate the effectiveness of treatment plans. ADLs are traditionally measured using standardized text-based questionnaires and the only form of personalization is in the form of question branching logic. Pervasive smartphone adoption makes it feasible to consider more frequent patient-reporting on ADLs. However, asking generic sets of questions repeatedly introduces user burden and fatigue that threatens to interfere with their utility. We introduce an approach called YADL (Your Activities of Daily Living) which uses images of ADLs and personalization to improve survey efficiency and the patient-experience. It offers several potential benefits: wider coverage of ADLs, improved engagement, and accurate capture of individual health situations. In this paper, we discuss our system design and the wide applicability of the design process for survey tools in healthcare and beyond. Interactions with with a small number of patients with Arthritis throughout the design process have been promising and we share detailed insights.

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