Qualitative metasummary: Parents seeking support related to their TGNC children
Bibliographic record
Abstract
Background: Parents seek support on behalf of their transgender and gender nonconforming (TGNC) children. Previous qualitative studies explore the types of support parents seek inside and outside of healthcare settings. Healthcare providers often remain unprepared to effectively provide gender-affirming services to TGNC children and their accompanying parents and may benefit from learning about the support seeking experiences of parents with TGNC children.Aims: This paper summarized qualitative research studies that address the topic of parents seeking support on behalf of their TGNC children. We produced this report for healthcare providers to review to enhance gender-affirming services for parents and TGNC children.Methods: This paper outlines a qualitative metasummary of studies from the United States or Canada with data collected from parents of TGNC children. Data collection included the steps of journal runs, database searches, reference checks, and area scans. Data analysis involved the steps of extracting, editing, grouping, abstracting, and calculating the intensity and frequency effect sizes for finding statements from qualitative research study articles.Results: The results of this metasummary yielded two primary themes, six subthemes, and 24 total findings. The first primary theme of seeking guidance had three subthemes: educational resources, community networks, and advocacy efforts. The second primary theme of seeking healthcare had three subthemes: healthcare providers, mental healthcare, and general healthcare.Discussion: These findings provide information healthcare providers can use to inform their practice. These findings also highlight the importance of providers working collaboratively with parents when serving TGNC children. This article concludes with practical tips for providers.
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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 | 0.076 | 0.183 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.013 |
| Bibliometrics | 0.018 | 0.017 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".