Evidence map›Paper›PMID 38913796›Full record

Trial reportStroke2024

Re-Imagining Hospital Patient Room Design for People After stroke: A Randomized Controlled Study Using Virtual Reality.

Michelle M Shannon, Marcus White, Leonid Churilov, Tianyi Yang, Ruby Lipson-Smith, Marie Elf, John Olver, Julie Bernhardt

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Stroke, 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

8 authors.

Michelle M ShannonThe Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia (M.M.S., L.C., R.L.-S., J.B.).ORCID 0000-0002-6805-078X
Marcus WhiteCentre for Design Innovation, Department of Interior Architecture and Industrial Design, Swinburne University, Hawthorn, Victoria, Australia (M.W., T.Y.).ORCID 0000-0002-2238-9251
Leonid ChurilovThe Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia (M.M.S., L.C., R.L.-S., J.B.).ORCID 0000-0002-9807-6606
Tianyi YangCentre for Design Innovation, Department of Interior Architecture and Industrial Design, Swinburne University, Hawthorn, Victoria, Australia (M.W., T.Y.).
Ruby Lipson-SmithThe Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia (M.M.S., L.C., R.L.-S., J.B.).ORCID 0000-0002-1702-8144
Marie ElfEnvironment, Technology and Participation, School of Health and Welfare, Dalarna University, Falun, Sweden (M.E.).ORCID 0000-0001-7044-8896
John OlverRehabilitation Medicine (School of Clinical Sciences), Monash University, Victoria, Australia (J.O.).
Julie BernhardtThe Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia (M.M.S., L.C., R.L.-S., J.B.).ORCID 0000-0002-2787-8484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hospital's physical environment can impact health and well-being. Patients spend most of their time in their hospital rooms. However, little experimental evidence supports specific physical design variables in these rooms, particularly for people poststroke. The study aimed to explore the influence of patient room design variables modeled in virtual reality using a controlled experimental design.

methodsAdults within 3 years of stroke who had spent >2 nights in hospital for stroke and were able to consent were included (Melbourne, Australia). Using a factorial design, we immersed participants in 16 different virtual hospital patient rooms in both daytime and nighttime conditions, systematically varying design attributes: patient room occupancy, social connectivity, room size (spaciousness), noise (nighttime), greenery outlook (daytime). While immersed, participants rated their affect (Pick-A-Mood Scale) and preference. Mixed-effect regression analyses were used to explore participant responses to design variables in both daytime and nighttime conditions. Feasibility and safety were monitored throughout. Australian New Zealand Clinical Trials Registry, Trial ID: ACTRN12620000375954.

resultsForty-four adults (median age, 67 [interquartile range, 57.3-73.8] years, 61.4% male, and a third with stroke in the prior 3-6 months) completed the study in 2019-2020. We recorded and analyzed 701 observations of affective responses (Pick-A-Mood Scale) in the daytime (686 at night) and 698 observations of preference responses in the daytime (685 nighttime) while continuously immersed in the virtual reality scenarios. Although single rooms were most preferred overall (daytime and nighttime), the relationship between affective responses differed in response to different combinations of nighttime noise, social connectivity, and greenery outlook (daytime). The virtual reality scenario intervention was feasible and safe for stroke participants.

conclusionsImmediate affective responses can be influenced by exposure to physical design variables other than room occupancy alone. Virtual reality testing of how the physical environment influences patient responses and, ultimately, outcomes could inform how we design new interventions for people recovering after stroke. REGISTRATION: URL: https://anzctr.org.au; Unique identifier: ACTRN12620000375954.

Indexed as

StrokeStroke RehabilitationVirtual RealityAgedAustraliaFemaleHospital Design and ConstructionHumansMaleMiddle AgedPatients' Roomshospitalspatients’ roomsresearch designstrokevirtual reality

Identifiers

PMID38913796
PMCPMC11198961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.