Monitoring Chronic Pain: Comparing Wearable and Mobile Interfaces

Rodríguez, Iyubanit; Fuentes, Carolina; Herskovic, Valeria; Campos, Mauricio

doi:10.1007/978-3-319-48746-5_24

Cited by 7 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rodríguez et al [ 50 ] showed that over two-thirds of people prefer the wearable option when they are given the choice between a wearable device and a mobile app for self-reporting pain. Adams et al [ 51 ], motivated by the need to manage chronic pain, reported a new pressure-based tangible user interface (UI) for the self-reporting of pain intensity, named Keppi .…”

Section: Introductionmentioning

confidence: 99%

Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study

Kheirinejad¹,

Alorwu²,

Visuri³

et al. 2022

JMIR Hum Factors

View full text Add to dashboard Cite

Background Chronic pain is a prolonged condition that deteriorates one's quality of life. Treating chronic pain requires a multicomponent approach, and in many cases, there are no “silver bullet” solutions. Mobile health (mHealth) is a rapidly expanding category of solutions in digital health with proven potential in chronic pain management. Objective This study aims to contrast the viewpoints of 2 groups of people with chronic pain concerning mHealth: people who have adopted the use of mHealth and those who have not. We highlight the benefits of mHealth solutions for people with chronic pain and the perceived obstacles to their increased adoption. We also provide recommendations to encourage people to try mHealth solutions as part of their self-care. Methods The Prolific crowdsourcing platform was used to collect crowdsourced data. A prescreening questionnaire was released to determine what type of pain potential participants have and whether they are currently using mHealth solutions for chronic pain. The participants were invited based on their experience using mHealth to manage their pain. Similar questions were presented to mHealth users and nonusers. Qualitative and quantitative analyses were performed to determine the outcomes of this study. Results In total, 31 responses were collected from people (aged 19-63 years, mean 31.4, SD 12.1) with chronic pain who use mHealth solutions. Two-thirds (n=20, 65%) of the users identified as female and 11 (35%) as male. We matched these mHealth users with an equal number of nonusers: 31 responses from the pool of 361 participants in the prescreening questionnaire. The nonusers’ ages ranged from 18 to 58 years (mean 30.8, SD 11.09), with 15 (50%) identifying as female and 15 (50%) as male. Likert-scale questions were analyzed using the Mann-Whitney-Wilcoxon (MWW) test. Results showed that the 2 groups differed significantly on 10 (43%) of 23 questions and shared similar views in the remaining 13 (57%). The most significant differences were related to privacy and interactions with health professionals. Of the 31 mHealth users, 12 (39%) declared that using mHealth solutions has made interacting with health or social care professionals easier (vs n=22, 71%, of nonusers). The majority of the nonusers (n=26, 84%) compared with about half of the users (n=15, 48%) expressed concern about sharing their data with, for example, third parties. Conclusions This study investigated how mHealth is currently used in the context of chronic pain and what expectations mHealth nonusers have for mHealth as a future chronic pain management tool. Analysis revealed contrasts between mHealth use expectations and actual usage experiences, highlighting privacy concerns toward mHealth solutions. Generally, the results showed that nonusers are more concerned about data privacy and expect mHealth to facilitate interacting with health professionals. The users, in contrast, feel that such connections do not exist.

show abstract

Section: Introductionmentioning

confidence: 99%

Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study

Kheirinejad¹,

Alorwu²,

Visuri³

et al. 2022

JMIR Hum Factors

View full text Add to dashboard Cite

show abstract

“…Finally, in order to explore additional materials and form factors and investigate which designs might be most suitable for elderly individuals with chronic pain, we examined the use of Keppi as a wearable device (Keppi V3). Prior research has found that when given the choice between a wearable device and a mobile application for self-reporting pain, over 2/3 of individuals preferred the wearable version [Rodríguez et al 2016]. Based on such findings, we settled on two different form factors: one is a coin shaped disk (as seen in Figure 12), and the other is a small cylinder (as seen in Figure 13).…”

Section: Keppi V3mentioning

confidence: 98%

Keppi

Adams

Murnane

Adams

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Motivated by the need to support those self-managing chronic pain, we report on the development and evaluation of a novel pressure-based tangible user interface (TUI) for the self-report of scalar values representing pain intensity. Our TUI consists of a conductive foam-based, force-sensitive resistor (FSR) covered in a soft rubber with embedded signal conditioning, an ARM Cortex-M0 microprocessor, and Bluetooth Low Energy (BLE). In-lab usability and feasibility studies with 28 participants found that individuals were able to use the device to make reliable reports with four degrees of freedom as well map squeeze pressure to pain level and visual feedback. Building on insights from these studies, we further redesigned the FSR into a wearable device with multiple form factors, including a necklace, bracelet, and keychain. A usability study with an additional 7 participants from our target population, elderly individuals with chronic pain, found high receptivity to the wearable design, which offered a number of participant-valued characteristics (e.g., discreetness) along with other design implications that serve to inform the continued refinement of tangible devices that support pain self-assessment.

show abstract

“…The first phase of this research focused on comparing two prototypes (one mobile and one wearable) that allow elders to self-report pain during their daily lives. A detailed account of the implemented devices and the experiment conducted in this phase can be found in [44]. Both of the devices use a simple Verbal Rating Scale with three levels of intensity (Low, Medium, and High).…”

Section: Phase I: Comparing Wearable Devices and Mobile Applicationsmentioning

confidence: 99%

Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces

Rodríguez

Cajamarca

Herskovic

et al. 2017

Mobile Information Systems

Self Cite

View full text Add to dashboard Cite

Pain is usually measured through patient reports during doctor visits, but it requires regular evaluation under real-life conditions to be resolved effectively. Over half of older adults suffer from pain. Chronic conditions such as this one may be monitored through technology; however, elderly users require technology to be specifically designed for them, because many have cognitive and physical limitations and lack digital skills. The purpose of this article is to study whether mobile or wearable devices are appropriate to self-report pain levels and to find which body position is more appropriate for elderly people to wear a device to self-report pain. We implemented three prototypes and conducted two phases of evaluation. We found that users preferred the wearable device over the mobile application and that a wearable to self-report pain should be designed specifically for this purpose. Regarding the placement of the wearable, we found that there was no preferred position overall, although the neck position received the most positive feedback. We believe that the possibility of creating a wearable device that may be placed in different positions may be the best solution to satisfy users’ individual preferences.

show abstract

Monitoring Chronic Pain: Comparing Wearable and Mobile Interfaces

Cited by 7 publications

References 22 publications

Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study

Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study

Keppi

Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces

Contact Info

Product

Resources

About