Psychometric properties of the Persian version of the intra-hospital transport safety scale in intensive care

The Persian version of the IHTSS is a valid, reliable, and culturally adapted instrument for assessing IHT safety in Iranian ICUs. Its application can help identify system-level strengths and weaknesses, guide targeted interventions, and enhance patient safety during critical care transfers.

Authors

Institutions

Publication Details

Journal
SAGE Open Medicine
Published
2026-02-22
DOI
https://doi.org/10.1177/20503121261416822
Primary Topic
Trauma and Emergency Care Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric properties of the Persian version of the intra-hospital transport safety scale in intensive care

Khalil Moradi, Leila Moradi, Amir Jalali, Keivan Babaei et al.
SAGE Open Medicine
Trauma and Emergency Care Studies
article

Psychometric properties of the Persian version of the intra-hospital transport safety scale in intensive care

Khalil Moradi, Leila Moradi, Amir Jalali, Keivan Babaei, Azam Sharifi, Jalal Karimi, Keyvan Moradi
article en

Abstract

The Persian version of the IHTSS is a valid, reliable, and culturally adapted instrument for assessing IHT safety in Iranian ICUs. Its application can help identify system-level strengths and weaknesses, guide targeted interventions, and enhance patient safety during critical care transfers.

SAGE Open MedicineVol. 14
Kermanshah University of Medical Sciences (IR), Iranshahr University (IR)
Openalex Percentile: Top 50%
Trauma and Emergency Care Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.