Development of the child community health inclusion index: Impact of contextual factors on community inclusion outcomes of children with disabilities
Bibliographic record
Abstract
Background: Participation and inclusion of children with disabilities in the community is a fundamental human right affirmed by the United Nations’ Convention on the Rights of Persons with Disabilities. Scientific evidence highlights their importance on development and health of children with disabilities. Despite these benefits, children with disabilities are restricted in comparison to that of typically developing children. These restrictions in participation have been linked to environmental. Measuring aspects of the environment that influence a child’s inclusion is crucial to better understand the impact of contextual factors on a child and to inform the development of context-based interventions like public health strategies and policies that aim to improve community inclusion and participation of children with disabilities. Currently, there are no comprehensive measures of community inclusion for children with disabilities addressing the different environmental aspects. Objectives: To develop a method to measure the effects of context-based interventions that aim to promote the participation and inclusion of children with disabilities in the communities where they live. Specific objectives: (i) to systematically review the evidence on context-based interventions that aim to increase participation of children with disabilities in the community; (ii) to develop the content and test the feasibility of a community health inclusion measurement tool that identifies and assesses the barriers and facilitators in different community environments that affect the participation of children with disabilities living in Canada, named Child Community Health Inclusion Index (CHILD-CHII). Methods: Systematic review was conducted. Knowledge was synthesized using the Family of Participation-related Constructs framework and the Community Wellbeing Framework. The content of the CHILD-CHII was developed through a literature review of existing measures and guidelines related to inclusion and item refinement with expert panel consultation. The content was validated through two rounds of a modified e-Delphi technique. The validated measurement tool was tested for feasibility on community facilities by stakeholder evaluators. Results: 11 articles were included for knowledge synthesis. Four higher-level studies showed that context-based interventions had a positive effect on participation and participation-related outcomes. Outcome measures were heterogeneous and high-level evidence was scarce. 189 items from 12 sources were generated for the content of the CHILD-CHII. 48 participants completed the first round of the Delphi technique and 38 completed the second to validate the items. 106 items were presented to the participants, of which 101 items were rated important with high consensus. 17 items were modified for clarity and presented in the second round. In the second round, all 17 modified items were deemed clearer. The validated content of the CHILD-CHII was tested for feasibility. Of the 12 participants, 92% indicated that the tool was ‘long’ or ‘much too long’; 66% indicated that the tool was clear; 58% indicated that the tool was ‘valuable’ or ‘very valuable’. No consensus on difficulty indicator was reached. Conclusion: The CHILD-CHII is a measurement tool that comprehensively identifies and assesses the barriers and facilitators in community facilities and environments that affect the participation of children with disabilities. The appropriate and effective measurement of community inclusion using the CHILD-CHII can be used to estimate child’s inclusion in the community and its health impacts. It can be used to identify areas that can be targeted for interventions with aims to increase inclusion of children with disabilities. Furthermore, the tool can be used as an outcome measure for future studies to explore context-based, systems-level interventions targeting facilities and communities
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".