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Record W2620049774 · doi:10.1186/s12969-017-0176-y

Challenges in transitioning adolescents and young adults with rheumatologic diseases to adult Care in a Developing Country - the Brazilian experience

2017· article· en· W2620049774 on OpenAlexaboutno aff
Catherine Gusman Anelli, Ana Luíza Mendes Amorim Caparroz, Fabiane Mitie Osaku, Maria Teresa Terreri, Cláudio Arnaldo Len, Andreas Reiff

Bibliographic record

VenuePediatric Rheumatology · 2017
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoMinistério da Ciência, Tecnologia e InovaçãoMinisterio de Economía y CompetitividadCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsMedicineFamily medicineRheumatologyAdult carePediatricsYoung adultInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Transition guidelines and recommendations for developing countries are limited and best transition practices in young patients with chronic medical conditions have been poorly examined. This study evaluates transition practices from pediatric to adult rheumatology care in Brazil. METHODS: Practicing pediatric rheumatologists registered in the Brazilian Society of Rheumatology were e-surveyed with SurveyMonkey® using the Chira et al. questionnaire that had been used previously to evaluate transition practices of pediatric rheumatologists from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) in the USA and Canada. The questionnaire was modified to better address specific issues pertaining to the Brazilian health care system. RESULTS: Seventy-six of 112 (68%) pediatric rheumatologists responded. Only 13% of the respondents reported that they had a well-established transition program and only 14% were satisfied with their current transition process. Eighty percent did not use any specific tools to assess transition readiness. While 43% of respondents considered 18 as the ideal transition age, only a third effectively transitioned their patients at that age while 48% did later. Major hurdles for a successful transition cited by the respondents included emotional attachment to the patients (95%) insufficient training in transition practice (87%), lack of devoted time for transition preparation and process (80%), lack of assistance by pediatric generalists, (77%), and lack of available adult subspecialists (75%). Sixty-seven percent of respondents stated that their program would need more tools/resources to facilitate transition and 59% believed that the development of specific guidelines would be useful to standardize and help with the transition process. CONCLUSIONS: Our study demonstrates that the identified challenges pertaining to transition in Brazilian patients are similar to those reported by pediatric rheumatologists in the United States and Canada. However, the current financial economic pressures affecting Brazil's health care system may force physicians to deprioritize non emergent care such as transition. A comprehensive understanding of transition issues specific to youth in developing countries and educating not only patients but also health care providers about the importance of a seamless transition process will support the development of transition guidelines and ensure better outcomes of pediatric subspecialty patients.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.363
Teacher spread0.324 · 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 designObservational
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

Citations33
Published2017
Admission routes1
Has abstractyes

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