1:20 - 1:40 pmSaturday, September 17
LK 101
Your Activities of Daily Living (YADL): an image-based survey technique for patients
LK 101
Your Activities of Daily Living (YADL): an image-based survey technique for patients
Cornell University
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... Read more

Description

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 of 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. We will discuss our system design and the wide applicability of the design process for survey tools in healthcare and beyond. 

YADL is designed to be personalized, engaging and easily accessible. (1) Personalized experiences: Instead of comprehensively listing all possible ADLs via word-based descriptions, we leverage images’ inherent ambiguities that allow for personal-ized interpretation and thus capture fine-grained ADL experiences; moreover, the inventory of images can be further tailored to specific demographics and disease contexts. (2) Patient engagement: We use representative activity images that are quick and easy to interpret. We argue that these photos are easier to understand and more effective at capturing ADL’s data as well. (3) Wide availability: YADL can be accessed via a web browser on desktop computers or on mobile devices so that patients can complete YADL at their convenience to keep timely records of their functional states. Photos also provide greater accessibility for lower literacy and non- English-speaking patients. 

We have designed YADL using a patient-driven participatory design process to iteratively explore and obtain feedback from clinicians, patients, occupational and physical therapists. Preliminary user testing suggests that patients’ responses on YADL exhibit consistency with two widely- used instruments, i.e. Boston AM-PAC and WOMAC. The feedback collected during the design process uncovers several added benefits from YADL that could provide unprecedented information in understanding patients’ health conditions. We are currently validating YADL in comparison to the Oswestry Disability Index (ODI) in patients with lower back pain in an IRB approved study. 

We will present the detailed design approach and discuss the lessons learned throughout the process of user interviews, rapid prototyping, user testing and iterative refinement. The iterative design process that we present can be widely applied to the general task of standard survey improvements and the transition from text-dominated interfaces to visually-rich interfaces. 

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