Evidence map›Paper›PMID 40264137›Full record

ArticleBMC nursing2025

Streamlining emergency nursing care post-pandemic: A lean approach for reducing wait times and improving patient and staff satisfaction in the hospital.

Azza Hassan Mohamed Hussein, Ebtsam Aly Omer Abou Hashish, Basmaa Ahmed Abd-Elghaffar, Nancy Sabry Hassan Elliethey

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. OpenThread as a tool for localization of devices and patients in healthcare systems.International journal of computer assisted radiology and surgery · 2026
    Article
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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

4 authors.

Azza Hassan Mohamed HusseinNursing Administration & Healthcare Management, Nursing Administration Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
Ebtsam Aly Omer Abou HashishNursing Administration & Healthcare Management, Nursing Administration Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt. ebtsam_ss@hotmail.com.ORCID http://orcid.org/0000-0003-0492-7615
Basmaa Ahmed Abd-ElghaffarNursing Administration & Healthcare Management, Nursing Administration Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
Nancy Sabry Hassan EllietheyNursing Administration & Healthcare Management, Nursing Administration Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.ORCID http://orcid.org/0000-0003-2910-1756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn emergency departments (EDs), long wait times and overcrowding are major challenges, worsened by the pandemic's increased patient volumes and demands. Lean methodology could offer a structured approach to reduce inefficiencies, improve care quality, and support nursing staff. AIM OF THE STUDY: This study aims to evaluate the impact of applying a Lean approach to optimize emergency nursing care post-pandemic within an ER setting.

methodsThis study utilized a mixed-methods design in the ER of a private hospital in Egypt. Data collection involved three Lean tools: the voice of the process observation sheet, which tracked the journeys of 100 patients; voice of customer structured interviews, conducted with 90 patients to assess satisfaction with waiting times; and voice of business interviews, held with 64 staff members to evaluate satisfaction with available resources. Additionally, a cause-and-effect analysis was conducted and summarized in an A3 report, identifying key factors contributing to extended wait times.

resultsThe average wait time in the emergency department was 157.87 min, making up 77.7% of the total length of stay. The consultation phase accounted for the longest delays, with an average wait of 92.46 min. Patient satisfaction with waiting times was moderate (61.74%), while staff satisfaction with resources was higher (71.09%), but only 53.1% were satisfied with patient wait times. Key causes of delays included non-compliance with triage protocols (95.0%), lack of care pathways (90.3%), and insufficient bed capacity (83.1%). An A3 report proposed strategies to reduce wait times and enhance satisfaction.

conclusionThis study highlights waiting times as a major challenge in EDs, significantly impacting service quality, patient outcomes, and nursing staff workload. Lean-based strategies, such as standardized triage and improved care pathways, are essential to reducing delays and enhancing both patient care and staff satisfaction in the post-pandemic healthcare environment.

Indexed as

Emergency departmentHealthcare providersLean methodologyLength of stayPatientsService timeWaiting time

Identifiers

PMID40264137
PMCPMC12016415

What OpenQuestion holds

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LicenceCC BY
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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.