Evidence map›Paper›PMID 41164661›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Efficacy of Different Triage Protocols in Reducing Waiting Times in Emergency Settings: A Randomized Controlled Trial.

P R S Balu, Afroz Kalmee Syed, Tejashwini Kotian, Hemanth Satya Subhash Padala, Surendra Gupta, Rahul Tiwari, Saloni Kamboj

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

P R S BaluDepartment of Emergency Medicine and Trauma Care, St Gregorios Medical Mission Hospital, Parumala, Thiruvalla, Pathanamthitta, Kerala, India.
Afroz Kalmee SyedDepartment of Oral and Maxillofacial Pathology, Scientific Medical Writer, Tenali, Andhra Pradesh, India.
Tejashwini KotianDepartment of Pathology, Faculty of Medicine, Manipal University College Malaysia, Bukit Baru, Malacca, Malaysia.
Hemanth Satya Subhash PadalaPG, MS, General Surgery, NRI Institute of Medical Science, Visakhapatnam, Andhra Pradesh, India.
Surendra GuptaChildren's Medical Center of Fresno, Fresno, California, USA.
Rahul TiwariDepartment of Oral and Maxillofacial Surgery, RKDF Dental College and Research Centre, Bhopal, Madhya Pradesh, India.
Saloni KambojDepartment of Obstetrics and Gynaecology, AIIMS, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prolonged waiting times in emergency departments (EDs) can result in adverse outcomes for patients. Implementing efficient triage protocols is critical in reducing these delays. This study evaluates the efficacy of different triage protocols in decreasing waiting times in emergency settings. Methods: A randomized controlled trial (RCT) was conducted to compare three triage protocols (Manchester Triage System, Nurse-Initiated Triage, and Digital Triage Systems). The primary outcome was the reduction in waiting times. Secondary outcomes included patient throughput and satisfaction. Results: A statistically significant reduction in waiting times was observed in the Nurse-Initiated Triage group compared to the Manchester Triage system ( Conclusion: Nurse-Initiated Triage protocols can effectively reduce waiting times in ED settings. Digital Triage Systems while improving efficiency may need to address patient satisfaction concerns.

Indexed as

Digital triageemergency departmentrandomized controlled trialtriage protocolswaiting times

Identifiers

PMID41164661
PMCPMC12563390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.