Evidence map›Paper›PMID 35949425›Full record

ArticleInnovation in aging2022

The Role of the Built Environment on the Quality of Life for Residents in Long-Term Care Facilities in Asia: A Scoping Review.

Habib Chaudhury, Mingjun Xu

Abstract readScoping Review
In one paragraph

Article in Innovation in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Habib ChaudhuryDepartment of Gerontology, Simon Fraser University, Vancouver, British Columbia, Canada.
Mingjun XuSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The quality of the built environmental features in long-term care (LTC) homes significantly influences residents' functioning (e.g., wayfinding, self-care, and social interaction) and well-being. There is limited research on the characteristics of the built environment of LTC and its influence on residents' quality of life in countries in the Asia-Pacific region (e.g., East Asia and South Asia). The older adult population in this region is expected to increase significantly in the coming decades. There are distinctive perceptions of nursing home, nursing home environments, and sociocultural norms in this geographic region. Given this context, a better understanding of the built environment of LTC facilities in this region can inform design professionals and policymakers for evidence-based decision-making. The present study undertakes a scoping review of the empirical research on the characteristics and influence of the built environment of LTC facilities on residents' quality of life in the Asia-Pacific context. Research Design and Methods: Online relevant databases were used to identify articles published 2000-2021, from which we selected 33 publications. Results: Three substantive themes were generated from the synthesis of the selected publications. These themes are (a) perceptions of nursing home, (b) impact of the built environment on residents' quality of life, and (c) assessment of the LTC built environment. Discussion and Implications: We identified research gaps in understanding the role of the built environment in nursing homes in the particular geographic context and future research directions. Five planning and design principles for LTC were derived from the synthesis of key findings to inform design professionals and policymakers.

Indexed as

DesignFunctioningNursing home

Identifiers

PMID35949425
PMCPMC9354229

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.