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Record W2800562450 · doi:10.7939/r3804xs86

An Individualized and Multi-faceted Transition Intervention is Needed for Pediatric Patients with Inflammatory Bowel Disease

2016· article· en· W2800562450 on OpenAlexaboutno aff
Natalie R. Klostermann

Bibliographic record

VenueUniversity of Alberta Library · 2016
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsInflammatory bowel diseaseMedicineIntervention (counseling)Intensive care medicineDiseaseInternal medicineNursing

Abstract

fetched live from OpenAlex

The transition of chronically ill patients from pediatric to adult care can be challenging for patients and families and there is no gold standard for how to facilitate this process. An unsuccessful transition has been associated with more negative health outcomes. It is generally agreed upon by researchers in the field that a successful transition should foster knowledge of the patient’s disease, as well as skills such as self-advocacy and self-management in relation to health and medication knowledge. Current research is aimed at elucidating the best transition process or intervention to avoid negative health outcomes that have been observed with unstructured transition, or to improve patient scores on assessments that measure skills believed to contribute to prevention of these outcomes. Inflammatory bowel disease (IBD) is one illness for which young adults must transition to an adult gastroenterologist before turning 18. While checklists, guidelines and recommendations have been synthesized using expert opinion, limited research addresses the opinions and transition experiences of young adults with IBD. Development of an effective transition intervention requires: assessing the current transition experience (seeking ideas for what could be improved upon), determining preferred intervention content and format, and assessment of young adult IBD patients with respect to skills required for successful transition. This first phase of a larger transition improvement project was designed to collect and analyze this essential information, in order to inform the design of an intervention. A mixed-methods design was used for this study, which employed semi-structured interviews and validated quantitative assessments of self-management/self-advocacy, medication adherence and IBD knowledge. The participant group was composed of 20 young adults (ages 17-20 years) with IBD, who had transitioned from pediatric care at the Edmonton Pediatric IBD Clinic (EPIC) to adult care at the Zeidler Gastrointestinal Health Centre, both University of Alberta clinics. Interviews were analyzed thematically, using the qualitative method of interpretive description. Scores on assessments were compared to published reference data by estimating proportion or mean differences and 95% confidence intervals. Even though transition was discussed using fairly positive commentary by this group of participants, the concept of a transition intervention was well-received by study participants. Preferred content centered on medications, disease and what to expect during transition. Preferred ways to learn were one-on-one instruction, handouts and websites. Themes identified from the interviews, which were key for guiding intervention development, were: “individualized and multi-faceted,” “teach about transition” and “support the shift in responsibility.” Quantitative assessments showed that among participants, 5.0% achieved 90% mastery of transition skills (0.64% lower [95% CI: -10.7%, 9.4%] than the reference estimate), 35% had poor medication adherence (17% [95% confidence interval (CI): -39%, 6%] lower than the reference estimate) and the mean knowledge score was 15.15 (3.86 [95% CI: 2.27, 5.45] points higher than the reference estimate). This study identified preferred intervention formats and content as well as skill areas to target for improvement. It was novel in its consideration of the current transition experience from the patient perspective, as well as their recommendations for an intervention. The results of this study led the researchers to design an interactive website, which delivers a customized experience and can be implemented at clinics across Canada.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.277
Teacher spread0.259 · 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 designTheoretical or conceptual
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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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