Exploring two subdimensions of participation, involvement and engagement: A scoping review

Steinhardt, Friedolin; Dolva, Anne‐Stine; Jahnsen, Reidun; Ullenhag, Anna

doi:10.1080/11038128.2021.1950207

Cited by 14 publications

(14 citation statements)

References 62 publications

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“…According to existing literature, observable involvement can be described as the observed partaking in an activity, for example, through focusing on a task. In contrast, non-observable involvement can be described as the feeling of inclusion, acceptance, and belonging as well as the felt engagement in an activity such as through flow or investment ( 5 , 8 , 73 , 74 ).…”

Section: Discussionmentioning

confidence: 99%

Capturing and Operationalizing Participation in Pediatric Re/Habilitation Research Using Artificial Intelligence: A Scoping Review

Kaelin

Valizadeh

Salgado

et al. 2022

Front. Rehabilit. Sci.

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BackgroundThere is increased interest in using artificial intelligence (AI) to provide participation-focused pediatric re/habilitation. Existing reviews on the use of AI in participation-focused pediatric re/habilitation focus on interventions and do not screen articles based on their definition of participation. AI-based assessments may help reduce provider burden and can support operationalization of the construct under investigation. To extend knowledge of the landscape on AI use in participation-focused pediatric re/habilitation, a scoping review on AI-based participation-focused assessments is needed.ObjectiveTo understand how the construct of participation is captured and operationalized in pediatric re/habilitation using AI.MethodsWe conducted a scoping review of literature published in Pubmed, PsycInfo, ERIC, CINAHL, IEEE Xplore, ACM Digital Library, ProQuest Dissertation and Theses, ACL Anthology, AAAI Digital Library, and Google Scholar. Documents were screened by 2–3 independent researchers following a systematic procedure and using the following inclusion criteria: (1) focuses on capturing participation using AI; (2) includes data on children and/or youth with a congenital or acquired disability; and (3) published in English. Data from included studies were extracted [e.g., demographics, type(s) of AI used], summarized, and sorted into categories of participation-related constructs.ResultsTwenty one out of 3,406 documents were included. Included assessment approaches mainly captured participation through annotated observations (n = 20; 95%), were administered in person (n = 17; 81%), and applied machine learning (n = 20; 95%) and computer vision (n = 13; 62%). None integrated the child or youth perspective and only one included the caregiver perspective. All assessment approaches captured behavioral involvement, and none captured emotional or cognitive involvement or attendance. Additionally, 24% (n = 5) of the assessment approaches captured participation-related constructs like activity competencies and 57% (n = 12) captured aspects not included in contemporary frameworks of participation.ConclusionsMain gaps for future research include lack of: (1) research reporting on common demographic factors and including samples representing the population of children and youth with a congenital or acquired disability; (2) AI-based participation assessment approaches integrating the child or youth perspective; (3) remotely administered AI-based assessment approaches capturing both child or youth attendance and involvement; and (4) AI-based assessment approaches aligning with contemporary definitions of participation.

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Section: Discussionmentioning

confidence: 99%

Capturing and Operationalizing Participation in Pediatric Re/Habilitation Research Using Artificial Intelligence: A Scoping Review

Kaelin

Valizadeh

Salgado

et al. 2022

Front. Rehabilit. Sci.

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“…The notion of engagement as process refers to the fact that it is both dynamic and co-constructed between the practitioner and individual. 40 , 42 , 43 This highlights the role of the practitioner in achieving a state of engagement and challenges previous thinking which located “the problem” entirely with the “patient”. Furthermore, there has been a growing recognition of the potential impacts of the family, service context, and cultural and societal factors on engagement.…”

Section: Introductionmentioning

confidence: 94%

Factors Impacting User Engagement in Reablement: A Qualitative Study of User, Family Member and Practitioners’ Views

Chen¹,

Beresford²

2023

JMDH

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Background The challenges of population aging have fostered the adoption of reablement as a core pillar of older people’s care in many developed economies. Aligning with wider literature on the association between “patient” engagement and outcomes, emerging evidence points to the impact user engagement may have on reablement outcomes. To date, existing research on the factors implicated in engagement with reablement is rather limited. Objective To identify and describe factors which impact user engagement in reablement from the perspectives of reablement staff, staff in interfacing services, service users and family members. Sample and Methods A total of 78 staff were recruited from five sites across England and Wales. Twelve service users and five family members were recruited from three of these sites. Data were collected via focus groups with staff and interviews with service users and families, and subject to thematic analysis. Results The data revealed a complex picture of factors potentially impacting user engagement, ranging from user-, family-, and staff-centered factors, the nature of the relationship between staff and users, and aspects of service organization and delivery across referral and intervention pathways. Many are amenable to intervention. As well as offering a more fine-grained understanding of factors reported by previous research, new factors impacting engagement were identified. These included staff morale, equipment provision systems, assessment and reviewing processes, and attention to social reablement needs. Aspects of the wider service context (eg, degree of integration of health and social care) played a role in determining which factors were pertinent. Conclusion Findings highlight the complexity of factors influencing engagement with reablement, and the need to ensure features of the wider service context (eg delivery models, referral pathways) do not work against securing and sustaining older people’s engagement with reablement.

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“…Role performance implies that the individual is executing and experiencing their specific role, such as being a student, mother, etc. [34]. This also can differentiate participation from activity [28,35].…”

Section: Plos Onementioning

confidence: 99%

“…A qualitative study based on an interview with disabled patients identified important aspects of participation such as active and meaningful engagement/being a part of choice and control [3]. Involvement and engagement are subjective subdimensions of participation often neglected in measuring participation [34]. Based on the definition, engagement comprises the individual's behavioural, cognitive, and affective investment during role performance [34].…”

Section: Plos Onementioning

confidence: 99%

“…Involvement and engagement are subjective subdimensions of participation often neglected in measuring participation [34]. Based on the definition, engagement comprises the individual's behavioural, cognitive, and affective investment during role performance [34]. However, the PBQ contains items that capture behavioural, cognitive, and affective dimensions of participation and measure satisfaction with participation.…”

Section: Plos Onementioning

confidence: 99%

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Factor structure of Participation Behavioural Questionnaire (PBQ) in patients with hand injuries

2023

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Background Participation is considered a critical outcome of successful rehabilitation and should be evaluated. Objective We aimed to evaluate the structural validity of the Participation Behaviour Questionnaire (PBQ) in people with hand injuries. Methodology The PBQ contains 30 items that measure participation as conceptualized in the ICF. PBQ was developed with Rasch analysis to measure participation in hand injured. A sample of 404 patients with hand injuries and a mean age of 37 (16.0) participated and was randomly split for exploratory and confirmatory factor analysis (EFA/CFA). Results Both EFA and CFA confirmed a four factor-solution. These factors were named: Social Participation and Interpersonal Relationships, Autonomy and Role, Subjective Satisfaction with Participation, Recreational, Sport, and Leisure Time. The value of Cronbach’s alpha was 0.96 for the total scale and >0.85 for each subscale. Conclusions The structural validity of the PBQ was confirmed using both EFA and CFA. The PBQ measures four dimensions of participation.

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Exploring two subdimensions of participation, involvement and engagement: A scoping review

Cited by 14 publications

References 62 publications

Capturing and Operationalizing Participation in Pediatric Re/Habilitation Research Using Artificial Intelligence: A Scoping Review

Capturing and Operationalizing Participation in Pediatric Re/Habilitation Research Using Artificial Intelligence: A Scoping Review

Factors Impacting User Engagement in Reablement: A Qualitative Study of User, Family Member and Practitioners’ Views

Factor structure of Participation Behavioural Questionnaire (PBQ) in patients with hand injuries

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