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Record W7000206647

Empowering Stoma Care: Enhancing Knowledge, Confidence, and Support Through Collaborative Approaches Between Doctors and Parental Communities for Children with Stomas

2025· article· en· W7000206647 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsStoma (medicine)Multidisciplinary approachColostomyQuality (philosophy)Multidisciplinary teamHealth careTeamwork
DOInot available

Abstract

fetched live from OpenAlex

Leecarlo Millano Lumban Gaol,1– 3 Lavenia Quinta Saraswati,2 Grace Shintauli Gultom,2 Melian Anita,1,3 Yohanes Firmansyah,4 Fiona Valencia Setiawan,4 Bryan Anna Wijaya4 1Faculty of Medicine, Padjadjaran University, Bandung, Indonesia; 2Department of Surgery, Pediatric Surgery Division, Tarakan General Hospital, Jakarta, Indonesia; 3Faculty of Medicine, Krida Wacana Christian University, Jakarta, Indonesia; 4Faculty of Medicine, Tarumanagara University, Jakarta, IndonesiaCorrespondence: Leecarlo Millano Lumban Gaol, Faculty of Medicine, Padjadjaran University, Raya Bandung Sumedang Street No. 21, Bandung, West Java, 45360, Indonesia, Email millanoleecarlo@gmail.comIntroduction: Effective postoperative care is pivotal, and parents play a vital role in managing complications and outcomes. Despite their importance, parents often struggle with the complexities of stoma care. Managing pediatric stomas necessitates a collaborative effort between healthcare professionals and community support, forming a multidisciplinary team that empowers parents with the knowledge and confidence required for effective stoma management.Purpose and Objectives: This study assesses the impact of collaborative efforts between doctors and community support systems on children’s quality of stoma care.Methods: A cross-sectional study involving 224 participants evaluated the influence of stoma support communities in Jakarta. The study used a validated 11-question questionnaire to measure community impact and stoma care knowledge.Results: Spearman Correlation analysis indicated significant relationships between doctor-patient communication and factors such as the stoma’s condition (r:0.285, p< 0.001), knowledge (r:0.417, p< 0.001), support in stoma care (r:0.458, p< 0.001), self-confidence (r:0.440, p< 0.001), support systems (r:0.407, p< 0.001), and ease of access to care (r:0.357, p< 0.001). Multivariate analysis highlighted that the quality of doctor-patient communication significantly affects stoma condition, support systems, self-confidence, and access to care (p< 0.025). ROC prediction analysis showed that effective doctor-patient communication through Komunitas Stoma Pada Anak Jakarta (KOSPAJA) significantly enhances support and self-confidence in stoma care (A> 0.70).Conclusion: The collaboration between doctors and community support significantly enhances parents’ knowledge, confidence, and support in managing their child’s stoma, leading to improved care quality and reduced complication rates.Keywords: children, doctor, parental community, stoma, stoma care

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)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0020.011
Research integrity0.0010.003
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 head0.242
GPT teacher head0.542
Teacher spread0.300 · 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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Citations0
Published2025
Admission routes1
Has abstractyes

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