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Record W4410122888 · doi:10.56922/mchc.v4i4.474

Manajemen perawatan luka pada klien post sectio caesarea di rsud kota bandung

2025· article· en· W4410122888 on OpenAlexaff
Irisanna Tambunan, Diana Ulfah, Yani Marlina, Rani Ismi Oktaviani, Alfi Khoerunisa

Bibliographic record

VenueTHE JOURNAL OF Mother and Child Health  Concerns · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Background: Cesarean section is a surgical procedure that is often performed to deliver a baby, especially when normal delivery is not possible. Cesarean section delivery is high risk for the mother and fetus, both during labor and the postpartum period, especially the risk of infection in the postoperative wound. Postoperative wound care, especially in patients who undergo caesarean section (CS), is an important aspect of recovery. Purpose: To get an overview of the application of wound management in patients with post-cesarean section. Method: Descriptive method with case study approach. The object of the research is three post sectio caesarea clients at Bandung City Hospital. Data collection used in this case study is interviews, observation and documentation using several research instruments as support in data collection. Results: Good wound healing on the seventh day after standard wound care. Factors that affect wound healing include education, age, and mobilization. One client who was 38 years old (high risk) and had just started mobilizing on the third day, experienced slower healing than the other two patients who had mobilized faster. Conclusion: Proper wound care management and a positive client attitude can accelerate wound healing, reduce pain, and increase mobility. Suggestion: improve the quality of wound care and provide health education to create a positive attitude in patients, which will support the wound healing process. Keywords: Management; Nursing Care; SC (Section Caesarea); Wound. Pendahuluan: Sectio caesarea adalah prosedur bedah yang sering dilakukan untuk melahirkan bayi, terutama ketika persalinan normal tidak memungkinkan. Persalinan sectio caesarea berisiko tinggi bagi ibu dan janin, baik selama persalinan maupun masa nifas, terutama risiko infeksi pada luka pasca operasi. Perawatan luka pasca operasi, khususnya pada pasien yang menjalani sectio caesarea (SC), merupakan aspek penting dalam pemulihan. Tujuan: Untuk mendapatkan gambaran penerapan manajemen luka pada pasien dengan post sectio caesarea. Metode: Metode deskriptif dengan pendekatan studi kasus. Objek penelitian tiga orang klien post sectio caesarea di RSUD Kota Bandung. pengumpulan data yang digunakan dalam studi kasus ini yaitu wawancara, observasi dan dokumentasi dengan menggunakan beberapa instrument penelitian sebagai pendukung dalam pengambilan data. Hasil: Penyembuhan luka yang baik pada hari ketujuh setelah perawatan luka sesuai standar. Faktor-faktor yang memengaruhi penyembuhan luka antara lain pendidikan, usia, dan mobilisasi. Salah satu klienyang berusia 38 tahun (risiko tinggi) dan baru mulai mobilisasi pada hari ketiga, mengalami penyembuhan lebih lambat dibandingkan dua pasien lainnya yang lebih cepat melakukan mobilisasi. Simpulan: Manajemen perawatan luka yang tepat dan sikap positif klien dapat mempercepat penyembuhan luka, mengurangi nyeri, dan meningkatkan mobilitas. Saran: Meningkatkan kualitas perawatan luka dan memberikan penyuluhan kesehatan untuk menciptakan sikap positif pada pasien, yang akan mendukung proses penyembuhan luka. Kata Kunci: Luka; Manajemen; Perawatan; SC (Sectio Caesarea).

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.048
GPT teacher head0.430
Teacher spread0.381 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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