Evidence map›Paper›PMID 36177223›Full record

ReviewHeliyon2022

A bibliometric analysis of published literature on healthcare facilities' wayfinding research from 1974 to 2020.

Lujie Deng, Nurul Hanim Romainoor

Abstract readReview
In one paragraph

Review in Heliyon, 2022. 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. Article
  2. 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

2 authors.

Lujie DengSchool of the Arts, Universiti Sains Malaysia, Penang 11800, Malaysia.
Nurul Hanim RomainoorSchool of the Arts, Universiti Sains Malaysia, Penang 11800, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Wayfinding in complex environments is a public issue facing the world and has become a hot research topic in recent years. This article reviews and quantitatively analyzes the literature on wayfinding in healthcare facilities and collates the research trends and hotspots in this area. Methods: The article used bibliometric analysis to search keywords in the Scopus database in the TITLE-ABS-KEY format. In total, 2359 articles were finally collated between 1974 and 2020 after three screening exercises, and a co-citation analysis was conducted by VOSviewer literature visualization analysis software. Results: Research in the worldwide literature on wayfinding in healthcare facilities has grown steadily year on year since 2002. Computer science (21.5%) and social science (15.5%) are the most common subject categories, with the United States (N = 767) accounting for the largest proportion of research. "Lecture Notes In Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics" is the most active journal in terms of publications (N = 169). Conclusion: Wayfinding cognition, wayfinding behavior, and individual and group differences are currently the focus of research in the field of healthcare facilities. Future research on wayfinding in healthcare facilities will further investigate intelligent assistive technologies and universal designs such as universal signage systems. In addition, cross-cultural-based wayfinding research is a hot topic for future studies where the boundaries of research are broadened and have practical value.

Indexed as

Bibliometric analysisHealthcare facilitiesKnowledge structuresVOSviewerWayfinding

Identifiers

PMID36177223
PMCPMC9513784

What OpenQuestion holds

Textmetadata
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.