Evidence map›Paper›PMID 40283736›Full record

ArticleInternational journal of environmental research and public health2025

Effect of Virtual Zen Garden on Quality of Life of Residents in Long-Term Care Home.

Ivo Yuen, Timothy Kwok

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ivo YuenDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-1093-9778
Timothy KwokDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-9253-3549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing attention has been paid to the therapeutic effect of gardens on older persons in long-term care homes. However, problems on set up and reliability of implementation were still of concern in studies. This study investigated residents' experiences of Virtual Zen Garden in Hong Kong. Twenty-four residents were interviewed using semi-structured interviews based on the phenomenological research approach in two long-term care homes. This study aligns with the COREQ (Consolidated Criteria for Reporting Qualitative Research Checklist). Nine theme clusters were organized that described the influence of Virtual Zen Garden on residents' quality of life in long-term care homes. They are 'staying engaged despite no change in physical condition', 'embracing current physical functioning', 'being the one to exercise autonomy', 'fostering a sense of relaxation and acceptance to the past, current and future lives', 'fostering a sense of satisfaction, purpose and mastery', 'open to companionship with staffs', 'feeling a sense of connection with other residents', 'perceiving a sense of security and identity in the living environment' and 'accepting the place they stay as a home in the rest of life'. Virtual Zen Garden demonstrated positive beneficial effect on quality of life in physical, psychological, social, and environmental perspectives. The findings were encouraging for the introduction of Virtual Zen Garden as an innovative intervention, into long-term care homes.

Indexed as

GardeningGardensNursing HomesQuality of LifeAgedAged, 80 and overFemaleHomes for the AgedHong KongHumansLong-Term CareMaleMiddle Agedlong-term careolder personsvirtual realitywellbeingZen Garden

Identifiers

PMID40283736
PMCPMC12027189

What OpenQuestion holds

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Registered trials

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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.