Evidence map›Paper›PMID 39872189›Full record

ArticleMedical journal, Armed Forces India

Analysis of factors influencing length of stay in the emergency department in public hospital, Padang, Indonesia.

Fitri Mailani, Tiurmaida Simandalahi, Aisyah Purnama Sari

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fitri MailaniLecturer (Medical-Surgical & Emergency Nursing), Faculty of Nursing, Universitas Andalas, Padang, Indonesia.
Tiurmaida SimandalahiLecturer (Medical-Surgical & Emergency Nursing), Faculty of Nursing, Universitas Andalas, Padang, Indonesia.
Aisyah Purnama SariStudent in Bachelor of Nursing, Faculty of Nursing, Universitas Andalas, Padang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Extending the time patients spend in the emergency department (ED) not only diminishes the quality of care but also heightens the potential for harm and adversely impacts patient satisfaction. However, there exists a dearth of accessible information regarding the length of stay (LOS) in emergency departments and the factors associated with it in Indonesia. This study aims to analyze the factors that influence the LOS of patients in the emergency department of a public hospital in Padang, Indonesia. Methods: This research design is a cross-sectional approach. The sample was patients who visited the ED in a tertiary public hospital in Padang (n = 328). The data collected from the medical records included length of stay, mode of arrival, case type, triage scale, diagnostic examination, specialist consultation needs, and needs for admission. Data analysis was performed using the chi-square statistical test and binary logistic regression. Results: The percentage of patients with LOS > 6 h in the emergency department was 29 %. There was a significant relationship between the triage scale, diagnostic tests, and the need for hospitalization with LOS (p < 0.05). The results of the multivariate analysis showed that the case type and the need for admission to hospitalization influence 12.4 % of LOS in ED. Conclusion: This study enriches our comprehension of the variables exerting the most substantial impact on the average duration of stay in the emergency department of a hospital in Indonesia. The findings will assist policymakers in crafting enduring strategies to optimize patient flow in the emergency department.

Indexed as

EmergencyLength of stayNursingTriage

Identifiers

PMID39872189
PMCPMC11762579

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.