Designing pain visualisation for caregivers of people with special needs: A co-creation approach

Korving, Helen; Sterkenburg, P.S.; Barakova, Emilia; Feijs, Loe

doi:10.1016/j.heliyon.2022.e11975

Cited by 4 publications

(6 citation statements)

References 35 publications

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“…Regarding the design phase, in 2 studies, a design phase was not detailed, but caregivers participated in workshops to co-create content and functionality in the development phase. The involvement of end users in the design process is known to be immensely valuable and facilitates a design process that is intuitive and attuned to the end users’ needs [ 75 ]. The development phase was detailed in most studies, and caregivers (and other participants) were involved.…”

Section: Discussionmentioning

confidence: 99%

“…However, of the 11 studies analyzed, in only 2 cases [ 33 , 35 ], caregivers were involved in all phases, although the studies did not describe the validation phase or its results but simply stated that a usability test or a pilot was carried out at a later stage. Nevertheless, the current literature indicates that end users should be extensively involved, in many different roles, which will give them the opportunity to not only evaluate each phase but also enlarge their involvement in the eventual product [ 75 ].…”

Section: Discussionmentioning

confidence: 99%

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Co-created Technological Solutions for Caregivers in Health Care: Systematic Review

Merchán-Baeza¹,

Andreu²,

Minobes-Molina³

et al. 2023

J Med Internet Res

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Background Support interventions for caregivers can reduce their stress, possibly improving the quality of patients’ care while reducing care costs. Technological solutions have been designed to cover their needs, but there are some challenges in making them truly functional for end users. Co-design approaches present important opportunities for engaging diverse populations to help ensure that technological solutions are inclusive and accessible. Objective This study aimed to identify co-created technological solutions, as well as the process followed for their co-creation, in the field of health for caregivers. Methods The literature review was conducted in the Medline, Web of Science, Scopus, Science Direct, Scielo, and IEEE Xplore databases. The inclusion criteria were studies written in English or Spanish and with a publication date until May 2021. The content had to specify that the caregivers actively participated in the co-creation process, which covered until the development phase of the technological solution (prototype). The level of evidence and the methodological quality were analyzed when possible, using the Scottish Intercollegiate Guidelines Network criteria and the Mixed Methods Appraisal Tool, version 2018, respectively. Results In total, 410 papers were identified, and 11 met the eligibility criteria. The most predominant articles were mixed methods studies and qualitative studies. The technology used in the analyzed articles were mobile or web applications (9 studies) and specific devices such as sensors, cameras, or alarm systems (2 studies) to support the health and social aspects of caregivers and improve their education in care. The most common patient profile was older people (7 studies); 6 studies used co-creation in the requirements phase, 6 studies detailed the design phase. In 9 studies, the prototype was iteratively refined in the development phase, and the validation phase was performed in 5 of the reviewed studies. Conclusions This systematic review suggests that existing co-created technological solutions in the field of health for caregivers are mostly mobile or web applications to support caregivers’ social health and well-being and improve their health knowledge when delivering care to patients, especially older people. As for the co-creation process, caregivers are particularly involved during development and in the design. The scarce literature found indicates that further research with higher methodological quality is needed.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Co-created Technological Solutions for Caregivers in Health Care: Systematic Review

Merchán-Baeza¹,

Andreu²,

Minobes-Molina³

et al. 2023

J Med Internet Res

View full text Add to dashboard Cite

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“…Electrodermal activity has been shown to increase in response to noxious stimuli, such as stress and pain, 1,[4][5][6]30,31 but responses can vary between people. 9 Circumstances, such as room temperature and time of day, and personal differences, such as race, age and BMI 32 also influence skin conductance responses. Therefore, the creation of a pain assessment algorithm will offset the imbalance of pain response data coming from a diverse group of people, in a first step towards a pain assessment system with the capability to reliably measure pain in a heterogeneous group.…”

Section: Discussionmentioning

confidence: 99%

“…during the development process. 7 The visualization of the pain condition within the app was designed following the Double Diamond design process model 8 with the involvement of the target user group, which is described by Korving et al 9 The use of socks to measure physical signals is becoming more common. The baby sock by Owlet measures a baby's heart rate and pulse oximetry during sleep and alerts caregivers in case of distress.…”

Section: Introductionmentioning

confidence: 99%

Development of an AI-Enabled System for Pain Monitoring Using Skin Conductance Sensoring in Socks

Korving

Zhou

Xiang

et al. 2022

Int. J. Neur. Syst.

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Background: Where self-report is unfeasible or observations are difficult, physiological estimates of pain are needed. Methods: Pain-data from 30 healthy adults were gathered to create a database of physiological pain responses. A model was then developed, to analyze pain-data and visualize the AI-estimated level of pain on a mobile app. Results: The initial low precision and F1-score of the pain classification algorithm were resolved by interpolating a percentage of similar data. Discussion: This system presents a novel approach to assess pain in noncommunicative people with the use of a sensor sock, AI predictor and mobile app. Performance analysis and the limitations of the AI algorithm are discussed.

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“…This pain state is depicted visually, via two emoticons, depicting a happy, green face or a grimacing, red face. This visualisation was co-designed with a large and varied group of caregivers for people with SID [27].…”

Section: Pain System Developmentmentioning

confidence: 99%

Development of a Pain Signaling System Using Machine Learning

Korving

Li²,

Zhou

et al. 2023

2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

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Designing pain visualisation for caregivers of people with special needs: A co-creation approach

Cited by 4 publications

References 35 publications

Co-created Technological Solutions for Caregivers in Health Care: Systematic Review

Co-created Technological Solutions for Caregivers in Health Care: Systematic Review

Development of an AI-Enabled System for Pain Monitoring Using Skin Conductance Sensoring in Socks

Development of a Pain Signaling System Using Machine Learning

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