Evidence map›Paper›PMID 38591574›Full record

ArticleHERD2024

The Impact of Design Factors on User Behavior in a Virtual Hospital Room to Explore Fall Prevention Strategies.

Nooshin Seddighi, Ying-Ching Chen, Andrew S Merryweather, K Bo Foreman, Alan Kuntz, Edoardo Battaglia, Haohan Zhang, Ellen Taylor, Bob Wong, Peter C Fino

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in HERD, 2024. 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
–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

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

10 authors.

Nooshin SeddighiDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.ORCID 0009-0007-5043-4535
Ying-Ching ChenDepartment of Entertainment Arts and Engineering, University of Utah, Salt Lake City, UT, USA.
Andrew S MerryweatherDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.
K Bo ForemanDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.
Alan KuntzKahlert School of Computing, University of Utah, Salt Lake City, UT, USA.
Edoardo BattagliaDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.
Haohan ZhangDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.
Ellen TaylorThe Center for Health Design, Concord, CA, USA.ORCID 0000-0002-8799-855X
Bob WongCollege of Nursing, University of Utah, Salt Lake City, UT, USA.
Peter C FinoDepartment of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA.

Funding

Reconfiguring the patient room as a fall protection strategy to increase patient stability during ambulationR18HS025606 · AHRQ · UNIVERSITY OF UTAH · PI WONG, BOB · 2018 to 2022
$2.0M
AHRQ HHS R18 HS025606
6 · The paper itself

Abstract

objectivesFalls in hospitals pose a significant safety risk, leading to injuries, prolonged hospitalization, and lasting complications. This study explores the potential of augmented reality (AR) technology in healthcare facility design to mitigate fall risk.

backgroundFew studies have investigated the impact of hospital room layouts on falls due to the high cost of building physical prototypes. This study introduces an innovative approach using AR technology to advance methods for healthcare facility design efficiently.

methodsTen healthy participants enrolled in this study to examine different hospital room designs in AR. Factors of interest included room configuration, door type, exit side of the bed, toilet placement, and the presence of IV equipment. AR trackers captured trajectories of the body as participants navigated through these AR hospital layouts, providing insights into user behavior and preferences.

resultsDoor type influenced the degree of backward and sideways movement, with the presence of an IV pole intensifying the interaction between door and room type, leading to increased sideways and backward motion. Participants displayed varying patterns of backward and sideways travel depending on the specific room configurations they encountered.

conclusionsAR can be an efficient and cost-effective method to modify room configurations to identify important design factors before conducting physical testing. The results of this study provide valuable insights into the effect of environmental factors on movement patterns in simulated hospital rooms. These results highlight the importance of considering environmental factors, such as the type of door and bathroom location, when designing healthcare facilities.

Indexed as

Accidental FallsHospital Design and ConstructionAdultAugmented RealityFemaleHumansInterior Design and FurnishingsMalePatients' RoomsYoung Adultaugmented realitybuilt environmentevidence-based designfall preventionpatient roomrisk

Identifiers

PMID38591574
PMCPMC11449643

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.