Understanding the Implications of Peer Support for Families of Children With Neurodevelopmental and Intellectual Disabilities: A Scoping Review
Bibliographic record
Abstract
Background: Families are integrally involved in day-to-day caregiving of children with neurodevelopmental and intellectual disabilities (NDID). Given the widespread and increasing prevalence of children with NDID and the impact of family caregiving on psychological, social, and economic implications for both the child and family, understanding and supporting these families is an important public health concern. Objective: We conducted a scoping review on peer support networks to understand their implications on families. Considering increasing prevalence of NDID's, understanding the implications of existing networks is critical to improve and nurture future support networks that can complement and reduce the burden on existing formal support systems. Design: A comprehensive search of multiple databases was conducted. Articles were screened by two reviewers and any disagreements were resolved by a third reviewer. We explored existing research on parent-to-parent peer support networks, which included networks that developed informally as well as those that involved a formal facilitator for the group interpersonal processes. There were no limits on the study design, date and setting of the articles. We included all research studies in English that included an identifier for (i) “peer support networks,” (ii) “children with neurodevelopmental and intellectual disabilities” and (iii) “family caregiver outcomes.” Results: We identified 36 articles. Majority of the studies were conducted in North America, and were face to face networks. They included families of children with a wide range of NDIDs. Relevant information extracted from different studies highlighted peer support network characteristics and development process, needs of family caregivers attending these networks, factors affecting caregiver participation and the impact of peer support networks on family caregivers. These networks represent a way to strengthen family caregivers, developing resilience and social interactions. Family caregivers sharing similar experiences support one another and provide critical information to each other. Although results are encouraging, future studies incorporating improved study designs are needed to better evaluate the effectiveness of peer support networks. Furthermore, studies where peer support networks develop organically while the child is supported are warranted. Conclusion: Although results obtained are encouraging, our findings support the need for further research studies of peer support networks with better designs and more detailed description of the factors involved in the development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".