The Wearable Co-Design Domino: A User-Centered Methodology to Co-Design and Co-Evaluate Wearables

Acceptance and User Experiences of a Wearable Device for the Management of Hospitalized Patients in COVID-19-Designated Wards in Ho Chi Minh City, Vietnam: Action Learning Project

BACKGROUND

Wearable devices have been used extensively both inside and outside of the hospital setting. During the COVID-19 pandemic, in some contexts, there was an increased need to remotely monitor pulse and saturated oxygen for patients due to the lack of staff and bedside monitors.

OBJECTIVE

A prototype of a remote monitoring system using wearable pulse oximeter devices was implemented at the Hospital for Tropical Diseases in Ho Chi Minh City, Vietnam, from August to December 2021. The aim of this work was to support the ongoing implementation of the remote monitoring system.

METHODS

We used an action learning approach with rapid pragmatic methods, including informal discussions and observations as well as a feedback survey form designed based on the technology acceptance model to assess the use and acceptability of the system. Based on these results, we facilitated a meeting using user-centered design principles to explore user needs and ideas about its development in more detail.

RESULTS

In total, 21 users filled in the feedback form. The mean technology acceptance model scores ranged from 3.5 (for perceived ease of use) to 4.4 (for attitude) with behavioral intention (3.8) and perceived usefulness (4.2) scoring in between. Those working as nurses scored higher on perceived usefulness, attitude, and behavioral intention than did physicians. Based on informal discussions, we realized there was a mismatch between how we (ie, the research team) and the ward teams perceived the use and wider purpose of the technology.

CONCLUSIONS

Designing and implementing the devices to be more nurse-centric from their introduction could have helped to increase their efficiency and use during the complex pandemic period.

Users' Perceptions About Lower Extremity Orthotic Devices: A Systematic Review

OBJECTIVE

To systematically review perceptions from adults, children, and caregivers in scientific and open sources to determine how well lower extremity orthotic devices (LEODs) meet users' functional, expressive, aesthetic, and accessibility (FEA2) needs.

DATA SOURCES

Scientific source searches were conducted in the National Library of Medicine (PubMed/MEDLINE) and Web of Science; open source searches were conducted in Google Search Engine in April 2020.

STUDY SELECTION

Inclusion criteria were reporting of users' perceptions about a LEOD, experimental or observational study design, including qualitative studies, and full text in English. Studies were excluded if the device only provided compression or perception data could not be extracted. One hundred seventy three scientific sources of 3440 screened were included (total of 1108 perceptions); 36 open sources of 150 screened were included (total of 508 perceptions).

DATA EXTRACTION

Users' perceptions were independently coded by 2 trained, reliable coders.

DATA SYNTHESIS

Across both source types, there were more perceptions about functional needs, and perceptions were more likely to be positive related to functional than expressive, aesthetic, or accessibility needs. Perceptions about expression, aesthetics, and accessibility were more frequently reported and more negative in open vs scientific sources. Users' perceptions varied depending on users' diagnosis and device type.

CONCLUSIONS

There is significant room for improvement in how LEODs meet users' FEA2 needs, even in the area of function, which is often the primary focus when designing rehabilitation devices. Satisfaction with LEODs may be improved by addressing users' unmet needs. Individuals often choose not to use prescribed LEODs even when LEODs improve their function. This systematic review identifies needs for LEODs that are most important to users and highlights how well existing LEODs address those needs. Attention to these needs in the design, prescription, and implementation of LEODs may increase device utilization.

Remote Measurement in Rheumatoid Arthritis: Qualitative Analysis of Patient Perspectives

BACKGROUND

Rheumatoid arthritis (RA) is characterized by recurrent fluctuations in symptoms such as joint pain, swelling, and stiffness. Remote measurement technologies (RMTs) offer the opportunity to track symptoms continuously and in real time; therefore, they may provide a more accurate picture of RA disease activity as a complement to prescheduled general practitioner appointments. Previous research has shown patient interest in remote symptom tracking in RA and has provided evidence for its clinical validity. However, there is a lack of co-design in the current development of systems, and the features of RMTs that best promote optimal engagement remain unclear.

OBJECTIVE

This study represents the first in a series of work that aims to develop a multiparametric RMT system for symptom tracking in RA. The objective of this study is to determine the important outcomes for disease management in patients with RA and how these can be best captured via remote measurement.

METHODS

A total of 9 patients (aged 23-77 years; mean 55.78, SD 17.54) with RA were recruited from King's College Hospital to participate in two semistructured focus groups. Both focus group discussions were conducted by a facilitator and a lived-experience researcher. The sessions were recorded, transcribed, independently coded, and analyzed for themes.

RESULTS

Thematic analysis identified a total of four overarching themes: important symptoms and outcomes in RA, management of RA symptoms, views on the current health care system, and views on the use of RMTs in RA. Mobility and pain were key symptoms to consider for symptom tracking as well as symptom triggers. There is a general consensus that the ability to track fluctuations and transmit such data to clinicians would aid in individual symptom management and the effectiveness of clinical care. Suggestions for visually capturing symptom fluctuations in an app were proposed.

CONCLUSIONS

The findings support previous work on the acceptability of RMT with RA disease management and address key outcomes for integration into a remote monitoring system for RA self-management and clinical care. Clear recommendations for RMT design are proposed. Future work will aim to take these recommendations into a user testing phase.