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Record W4407967942 · doi:10.1297/cpe.2024-0051

An urgent need for early diagnosis and universal health care: insights from a series of interviews with parents of children living with congenital adrenal hyperplasia in Indonesia

2025· article· en· W4407967942 on OpenAlexaff
Aman B Pulungan, Helena Arnetta Puteri, Vahira Waladhiyaputri, Angelina Patricia Chandra, Amajida F Ratnasari, Fatima Idaayen, Ghaisani Fadiana, Kate Armstrong, Agustini Utari

Bibliographic record

VenueClinical Pediatric Endocrinology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsDiabetes Canada
Fundersnot available
KeywordsMedicineCongenital adrenal hyperplasiaPediatricsFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Congenital adrenal hyperplasia (CAH) presents significant health challenges and requires a timely diagnosis and comprehensive treatment. This qualitative study assessed the experiences of parents of children with CAH in Indonesia, and focused on the challenges associated with delayed diagnosis. In-depth interviews with 40 parents of children with CAH from 9 Indonesian provinces were conducted between December 2022 and January 2023. The results revealed parents experienced challenges due to the absence of a newborn screening program (NBS) and the minimal capacity of healthcare professionals to diagnose CAH. Parents reported having emotional stress, financial challenges, and social stigma. Fludrocortisone and 17-OHP are not covered by the national health insurance, thus financial challenges prevailed. The impact of late diagnosis was also notable in their children; parents reported that their children had tendencies to self-isolate, insecurities, temperamental behavior, and masculine behavior (for females). These findings emphasize the critical need for the NBS to implement early diagnosis, increase healthcare professionals' capacity to diagnose CAH, and ensure accessible and affordable healthcare policies for patients with CAH. Addressing these gaps is essential for improving the quality of life for children with CAH and their families in Indonesia.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.302
Teacher spread0.287 · 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 teacher head, 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

Citations2
Published2025
Admission routes1
Has abstractyes

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