It’s Not Just the Movement: Experiential Information Needed for Stroke Telerehabilitation

Akinsiku, Adegboyega; Avellino, Ignacio; Graham, Yasmin; Mentis, Helena M.

doi:10.1145/3411764.3445663

Cited by 10 publications

(5 citation statements)

References 35 publications

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“…Similar to a recent study on experiential information [59], our OT participants stated the importance of knowing stroke survivors' contextual information when interpreting their sensor data. Specifically, the arm use data do not provide activity semantics-for example, what they were doing during peaks and troughs-which may be important cues in devising a personalized therapy program.…”

Section: Data Analytics and Feedback Tools For Ots And Patientssupporting

confidence: 79%

“…Many studies have proposed various research prototypes to monitor if and how stroke survivors adhere to at-home therapeutic exercises using different technologies, such as wearable sensors [36,38,50,51], video cameras [52], and rehabilitation games [53,54]. These systems can potentially provide therapists with valuable information, such as stroke survivors' motor capacity (e.g., range of motion [52,55]), engagement with therapy (e.g., frequency and duration of participation in training) [56][57][58], and their subjective experience during at-home therapeutic exercises [59]. This could, in turn, be used to better personalize patients' at-home exercise programs.…”

Section: Related Workmentioning

confidence: 99%

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Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors’ and occupational therapists’ perspectives

Jung

Kim²,

Lee³

et al. 2022

PLoS ONE

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Background The key for successful stroke upper-limb rehabilitation includes the personalization of therapeutic interventions based on patients’ functional ability and performance level. However, therapists often encounter challenges in supporting personalized rehabilitation due to the lack of information about how stroke survivors use their stroke-affected arm outside the clinic. Wearable technologies have been considered as an effective, objective solution to monitor patients’ arm use patterns in their naturalistic environments. However, these technologies have remained a proof of concept and have not been adopted as mainstream therapeutic products, and we lack understanding of how key stakeholders perceive the use of wearable technologies in their practice. Objective We aim to understand how stroke survivors and therapists perceive and envision the use of wearable sensors and arm activity data in practical settings and how we could design a wearable-based performance monitoring system to better support the needs of the stakeholders. Methods We conducted semi-structured interviews with four stroke survivors and 15 occupational therapists (OTs) based on real-world arm use data that we collected for contextualization. To situate our participants, we leveraged a pair of finger-worn accelerometers to collect stroke survivors’ arm use data in real-world settings, which we used to create study probes for stroke survivors and OTs, respectively. The interview data was analyzed using the thematic approach. Results Our study unveiled a detailed account of (1) the receptiveness of stroke survivors and OTs for using wearable sensors in clinical practice, (2) OTs’ envisioned strategies to utilize patient-generated sensor data in the light of providing patients with personalized therapy programs, and (3) practical challenges and design considerations to address for the accelerated integration of wearable systems into their practice. Conclusions These findings offer promising directions for the design of a wearable solution that supports OTs to develop individually-tailored therapy programs for stroke survivors to improve their affected arm use.

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Section: Data Analytics and Feedback Tools For Ots And Patientssupporting

confidence: 79%

Section: Related Workmentioning

confidence: 99%

Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors’ and occupational therapists’ perspectives

Jung

Kim²,

Lee³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

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“…It should be highlighted that enabling patients and HCPs to discuss health improvements is important [ 89 , 90 ]. Therefore, we do not argue that asymptomatic days should not be tracked as they can provide a measure, and a reminder, of how frequently patients feel well .…”

Section: Discussionmentioning

confidence: 99%

Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design Study

Tendedez¹,

Ferrario²,

McNaney³

et al. 2022

JMIR Hum Factors

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Background When caring for patients with chronic conditions such as chronic obstructive pulmonary disease (COPD), health care professionals (HCPs) rely on multiple data sources to make decisions. Collating and visualizing these data, for example, on clinical dashboards, holds the potential to support timely and informed decision-making. Most studies on data-supported decision-making (DSDM) technologies for health care have focused on their technical feasibility or quantitative effectiveness. Although these studies are an important contribution to the literature, they do not further our limited understanding of how HCPs engage with these technologies and how they can be designed to support specific contexts of use. To advance our knowledge in this area, we must work with HCPs to explore this space and the real-world complexities of health care work and service structures. Objective This study aimed to qualitatively explore how DSDM technologies could support HCPs in their decision-making regarding COPD care. We created a scenario-based research tool called Respire, which visualizes HCPs’ data needs about their patients with COPD and services. We used Respire with HCPs to uncover rich and nuanced findings about human-data interaction in this context, focusing on the real-world challenges that HCPs face when carrying out their work and making decisions. Methods We engaged 9 respiratory HCPs from 2 collaborating health care organizations to design Respire. We then used Respire as a tool to investigate human-data interaction in the context of decision-making about COPD care. The study followed a co-design approach that had 3 stages and spanned 2 years. The first stage involved 5 workshops with HCPs to identify data interaction scenarios that would support their work. The second stage involved creating Respire, an interactive scenario-based web app that visualizes HCPs’ data needs, incorporating feedback from HCPs. The final stage involved 11 one-to-one sessions with HCPs to use Respire, focusing on how they envisaged that it could support their work and decisions about care. Results We found that HCPs trust data differently depending on where it came from and who recorded it, sporadic and subjective data generated by patients have value but create challenges for decision-making, and HCPs require support in interpreting and responding to new data and its use cases. Conclusions Our study uncovered important lessons for the design of DSDM technologies to support health care contexts. We show that although DSDM technologies have the potential to support patient care and health care delivery, important sociotechnical and human-data interaction challenges influence the design and deployment of these technologies. Exploring these considerations during the design process can ensure that DSDM technologies are designed with a holistic view of how decision-making and engagement with data occur in health care contexts.

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“…Their study points to the complex nature of cultural mapping with respect to standardized data across specific areas and challenges of categorization that they argue better emerges naturally from communities and driven by users. In their study of telerehabilitation systems examining movement data, Akinsiku et al (2021) found that experiential information of the lived experience of stroke survivors was essential for specialists to interpret movement data accessed through the telehealth system and to adequately develop a rehabilitation plan. These studies not only highlight the complex qualities embedded within technological designs that play a role in shaping users' experiences and perceptions but also the need for user-and patient-centered approaches to care delivery.…”

Section: Drivers For Telehealth Adoption and Current Knowledge Gapsmentioning

confidence: 99%

Mutual Shaping of Telehealthcare in Northern Saskatchewan: Community Experiences of the Socio-Technical and Spatial Dimensions of Care

Leader¹

2022

The International Journal of Technology, Knowledge, and Society

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Telehealth is offered as a technological solution for challenges with accessing care across Canada's more remote communities. Telehealth technologies can bridge healthcare access gaps by connecting patients and providers; however, there are notable utilization and structural constraints that potentially challenge long-term sustainability. This article contributes a snapshot of community perspectives and experiences from Northern Saskatchewan on the use of telehealth technologies. Specifically, this article locates the strengths and barriers for telehealth use within northern and remote Indigenous community contexts and draws attention to the importance of community collaborations and place-based considerations. Drawing on theoretical insights from Science and Technology Studies (STS), it is argued that understanding the social and spatial contexts in which telehealth is experienced is critical especially as technologies continue to play an important role in delivering healthcare. The analysis reveals how users and technologies, along with their mediated environments and situated contexts, mutually shape telehealthcare practice and experiences. In the context of this study, a mutual shaping approach provides insight into the factors shaping technology use -it uncovers how socio-spatial and human factors (users) shape technology design, implementation, and utilization, and simultaneously how technologies shape healthcare practices and experiences associated with telehealth and the socio-technical space of the clinic.

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It’s Not Just the Movement: Experiential Information Needed for Stroke Telerehabilitation

Cited by 10 publications

References 35 publications

Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors’ and occupational therapists’ perspectives

Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors’ and occupational therapists’ perspectives

Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design Study

Mutual Shaping of Telehealthcare in Northern Saskatchewan: Community Experiences of the Socio-Technical and Spatial Dimensions of Care

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