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Record W4405526884 · doi:10.1186/s12939-024-02343-9

Barriers and supports for Indigenous youth and young adults with childhood- onset chronic health conditions transitioning from pediatric to adult healthcare: a qualitative study

2024· article· en· W4405526884 on OpenAlexafffundabout
Andrew S. Mackie, Mandi Gray, Alyssa Chappell, Kira Konstantinovna Dlusskaya, Rick Lightning, Larry Listener, Arrol Crier, Barbara Dumigan-Jackson, Audrey Alforque Thomas, Bonny Graham, Randy Littlechild, Joshua Lightning, A. Chandrahasan Johnson, Patricia Rain, Maxine Cutarm, Richard T. Oster

Bibliographic record

VenueInternational Journal for Equity in Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsStollery Children's HospitalHealth Sciences CentreAlberta HealthTrent UniversityUniversity of Alberta
FundersChildren's Hospital FoundationStollery Children’s Hospital FoundationWomen and Children's Health Research InstituteChildren's Health Research Institute
KeywordsIndigenousThematic analysisHealth careQualitative researchHealth services researchMedicineParticipatory action researchCommunity-based participatory researchNursingHealth administrationPublic healthFamily medicineSociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: This study examined the experiences of Indigenous youth and young adults with pediatric onset chronic health conditions who had or were about to transition from pediatric to adult healthcare services. Transition is the process by which youth develop the knowledge and self-management skills needed to manage their health condition, ideally beginning around age 12-13 and continuing until the mid-20s. There is a growing body of literature on healthcare transition, but there is an absence of literature on Indigenous youth, who face additional barriers to accessing healthcare relative to non-Indigenous Canadians. The primary objective of this study was to identify the supports and barriers for Indigenous youth with childhood-onset chronic health conditions transitioning from pediatric to adult healthcare services. METHODS: The research was done in the province of Alberta, Canada, in collaboration with a Community Advisory Committee comprised of Indigenous healthcare providers, Elders and Knowledge Keepers and guided by a community-based participatory research approach. Semi-structured qualitative interviews (n = 46) were conducted with Indigenous youth, caregivers, and healthcare providers. There were three Talking Circles, two for youth (9 participants) and one for caregivers (6 participants). Three research assistants coded the transcripts thematically using NVivo. The key findings were presented to the Community Advisory Committee for feedback to validate the interpretation of the qualitative data. RESULTS: The thematic findings include: (1) systemic inequalities exacerbate gaps in healthcare; (2) intergenerational trauma created unique barriers for Indigenous youth; (3) long-term relationships with care providers as a protective factor; (4) the incorporation of Indigenous worldviews into healthcare services to aid transition; and (5) assuming new responsibilities as an adult. The participants provided recommendations to improve healthcare service delivery including the need for Indigenous transition supports in community and improving education for healthcare practitioners about transition and Indigenous worldviews. CONCLUSION: This study demonstrates the complexity of the transition experience for Indigenous youth with pediatric onset chronic health conditions. The identified barriers to successful transition could be addressed through systems level changes and the development of Indigenous specific transition support services. Such approaches need to be Indigenous-led and incorporate Indigenous culture, language, and teachings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.496

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.007
Scholarly communication0.0030.002
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.066
GPT teacher head0.509
Teacher spread0.443 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations2
Published2024
Admission routes3
Has abstractyes

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