Understanding the experiences of self-injurious behavior in autism spectrum disorder: Implications for monitoring technology design

Macroergonomic components of the patient work system shaping dyadic care management during adolescence: a case study of type 1 diabetes

The role of the social, physical, and organisational environments in shaping how patients and their caregivers perform work remains largely unexplored in human factors/ergonomics literature. This study recruited 19 dyads consisting of a parent and their child with type 1 diabetes to be interviewed individually and analysed using a macroergonomic framework. Our findings aligned with the macroergonomic factors as presented in previous models, while highlighting the need to expand upon certain components to gain a more comprehensive representation of the patient work system as relevant to dyadic management. Examples of design efforts that should follow from these findings include expanding existing data sharing options to include information from the external environment and capitalising on the capabilities of artificial intelligence as a decision support system. Future research should focus on longitudinally assessing patient work systems throughout transition periods in addition to more explicitly exploring the roles of social network members.

Designing for caregiving networks: a case study of primary caregivers of children with medical complexity

OBJECTIVE

The study aimed to characterize the experiences of primary caregivers of children with medical complexity (CMC) in engaging with other members of the child's caregiving network, thereby informing the design of health information technology (IT) for the caregiving network. Caregiving networks include friends, family, community members, and other trusted individuals who provide resources, information, health, or childcare.

MATERIALS AND METHODS

We performed a secondary analysis of two qualitative studies. Primary studies conducted semi-structured interviews (n = 50) with family caregivers of CMC. Interviews were held in the Midwest (n = 30) and the mid-Atlantic region (n = 20). Interviews were transcribed verbatim for thematic analysis. Emergent themes were mapped to implications for the design of future health IT.

RESULTS

Thematic analysis identified 8 themes characterizing a wide range of primary caregivers' experiences in constructing, managing, and ensuring high-quality care delivery across the caregiving network.

DISCUSSION

Findings evidence a critical need to create flexible and customizable tools designed to support hiring/training processes, coordinating daily care across the caregiving network, communicating changing needs and care updates across the caregiving network, and creating contingency plans for instances where caregivers are unavailable to provide care to the CMC. Informaticists should additionally design accessible platforms that allow primary caregivers to connect with and learn from other caregivers while minimizing exposure to sensitive or emotional content as indicated by the user.

CONCLUSION

This article contributes to the design of health IT for CMC caregiving networks by uncovering previously underrecognized needs and experiences of CMC primary caregivers and drawing direct connections to design implications.

Development and validation of a system for the prediction of challenging behaviors of people with autism spectrum disorder based on a smart wearable shirt: A mixed-methods design

Background

Most people with autism spectrum disorder (ASD) present at least one form of challenging behavior (CB), causing reduced life quality, social interactions, and community-based service inclusion.

Objectives

The current study had two objectives: (1) to assess the differences in physiological reaction to stressful stimuli between adults with and without high-functioning ASD; (2) to develop a system able to predict the incoming occurrence of a challenging behaviors (CBs) in real time and inform the caregiver that a CB is about to occur; (3) to evaluate the acceptability and usefulness of the developed system for users with ASD and their caregivers.

Methods

Comparison between physiological parameters will be conducted by enrolling two groups of 20 participants with and without ASD monitored while watching a relaxing and disturbing video. To understand the variations of the parameters that occur before the CB takes place, 10 participants with ASD who have aggressive or disruptive CBs will be monitored for 7 days. Then, an ML algorithm capable of predicting immediate CB occurrence based on physiological parameter variations is about to be developed. After developing the application-based algorithm, an efficient proof of concept (POC) will be carried out on one participant with ASD and CB. A focus group, including health professionals, will test the POC to identify the strengths and weaknesses of the developed system.

Results

Higher stress level is anticipated in the group of people with ASD looking at the disturbing video than in the typically developed peers. From the obtained data, the developed algorithm is used to predict CBs that are about to occur in the upcoming 1 min. A high level of satisfaction with the proposed technology and useful consideration for further developments are expected to emerge from the focus group.

Clinical trial registration

[https://clinicaltrials.gov/], identifier [NCT05340608].

Engaging the disability community in informatics research: rationales and practical steps

As the informatics community grows in its ability to address health disparities, there is an opportunity to expand our impact by focusing on the disability community as a health disparity population. Although informaticians have primarily catered design efforts to one disability at a time, digital health technologies can be enhanced by approaching disability from a more holistic framework, simultaneously accounting for multiple forms of disability and the ways disability intersects with other forms of identity. The urgency of moving toward this more holistic approach is grounded in ethical, legal, and design-related rationales. Shaped by our research and advocacy with the disability community, we offer a set of guidelines for effective engagement. We argue that such engagement is critical to creating digital health technologies which more fully meet the needs of all disabled individuals.

Mapping the time course of overt emotion dysregulation, self-injurious behavior, and aggression in psychiatrically hospitalized autistic youth: A naturalistic study

Challenges with emotion dysregulation, self-injurious behavior (SIB), and aggression are common in autistic individuals. Prior research on the relationships between these behaviors is limited mainly to cross-sectional correlations of parent-report data. Understanding how emotion dysregulation, SIB, and aggression present and relate to one another in real-time could add to our understanding of the context and function of these behaviors. The present study examined the real-time occurrence and temporal relationships between these behaviors in 53 psychiatrically hospitalized autistic youth. Over 500 hours of behavioral observation occurred during everyday activities in the hospital. Start and stop times for instances of overt emotion dysregulation, SIB, and aggression were coded live using a custom mobile phone app. Results indicated large individual variability in the frequency and duration of these behaviors and their co-occurrence. Both SIB and aggression co-occurred with overt emotion dysregulation at above-chance levels, suggesting a role for emotional distress in the occurrence of these behaviors. However, there was substantial variability within and between individuals in co-occurrence, and SIB and aggression often (and for some individuals, almost always) occurred without overt emotion dysregulation. Relatedly, cross-recurrence quantitative analysis revealed that SIB and aggression preceded emotion dysregulation more often than emotion dysregulation preceded SIB and aggression. Future research, perhaps using ambulatory psychophysiological measures, is needed to understand whether emotion dysregulation may sometimes be present but not easily observed during SIB and aggression. LAY SUMMARY: This study provides insight into how overt emotion dysregulation (i.e., visible distress), aggression, and self-injury unfold in real-time for autistic individuals. Participants were 53 autistic youth staying in a psychiatric hospital. Research staff observed participants in everyday activities on the hospital unit and noted instances of aggression, self-injurious behavior, and emotion dysregulation. Results suggest that aggression and self-injury sometimes occur with visible signs of distress but also often occur without visible distress. In addition, observable distress was more common in the moments after these behaviors than in the moments before.