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Record W4415772215 · doi:10.33024/mnj.v7i11.22747

Strategi Peningkatan Keterlibatan Pasien dan Keluarga dalam Advance Care Planning di Unit Gawat Darurat

2025· article· W4415772215 on OpenAlexaff
Birry Assidiqy, Ai Rahmawati, Heni Nurakilah

Bibliographic record

VenueMalahayati Nursing Journal · 2025
Typearticle
Language
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAdvance care planningInclusion (mineral)Psychological interventionIntensive care unitUnit (ring theory)Emergency department

Abstract

fetched live from OpenAlex

ABSTRACT A visit to the Emergency Department (ER) provides an opportunity to empower patients and families to discuss advanced care planning (ACP). However, various obstacles are felt when implementing ACP in the ER. Lack of patient and family participation in ACP formulation is a significant obstacle to overcome. This review aims to identify strategies or interventions that can increase the participation and involvement of patients and families in formulating ACP in the ED. This study used a narrative review by identifying articles from three databases: Pubmed, EBSCOhost: Medline Ultimate, ScienceDirect, and one Google Scholar search engine. The keywords used were “chronic disease OR chronic condition” AND “advance care planning OR advance directive” AND “emergency room OR emergency unit OR emergency context”. The articles analyzed underwent a selection stage based on inclusion and exclusion criteria and were analyzed thematically and qualitatively. A total of seven studies were analyzed in this review and found to include a brief negotiated interview, ACP toolkit, ACP video decision support tool, and remote ACP with a goals-of-care approach. Conclusion: This review concludes that the successful strategies identified in this review can help health workers increase the participation and involvement of patients and families in the ACP formulation process in the ER. Keywords: Advance Care Planning, Emergency Room, Family Participaton and Engagement. ABSTRAK Kunjungan ke Unit Gawat Darurat (UGD) memberikan kesempatan untuk memberdayakan pasien dan keluarga untuk mendiskusikan advance care planning (ACP). Namun, berbagai macam hambatan yang dirasakan dalam pelaksanaan ACP di UGD. Kurangnya partisipasi pasien dan keluarga dalam perumusan ACP menjadi salah satu hambatan yang penting untuk diselesaikan. Review ini bertujuan untuk mengidentifikasi strategi atau intervensi yang dapat meningkatkan partisipasi dan keterlibatan pasien dan keluarga dalam perumusan ACP di UGD. Studi ini menggunakan narrative review dengan mengidentifikasi artikel dari tiga databases seperti Pubmed, EBSCOhost: Medline Ultimate, dan Sciencedirect serta satu search engine Google Scholar. Kata kunci yang digunakan adalah “chronic disease OR chronic condition” AND “advance care planning OR advance directive” AND “emergency room OR emergency unit OR emergency context”. Artikel yang dianalisis sudah melalui tahap seleksi berdasarkan kriteria inklusi dan eksklusi serta dianalisis secara tematis dan kualitatif. Sebanyak tujuh studi yang dianalisis pada review ini dan diapatkan meliputi: Brief negotiated interview, ACP toolkit, ACP video decision support tool, dan remote ACP dengan pendekatan goals of care. Review ini menyimpulkan bahwa strategi-strategi yang berhasil teridentifikasi pada review ini dapat membantu petugas kesehatan untuk meningkatkan partisipasi dan keterlibatan pasien serta keluarga dalam proses perumusan ACP di UGD. Kata Kunci: Advance Care Planning, Partisipasi dan Keterlibatan Keluarga, Unit Gawat Darurat.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.079
GPT teacher head0.412
Teacher spread0.333 · 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 designNot applicable
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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