SynthesisBMC geriatrics2025
Age-friendly hospitals: a concept analysis.
Synthesis in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- What Defines an Age-Friendly Health System? Comment on "Developing a Conceptual Framework for an Age-Friendly Health System: A Scoping Review".International journal of health policy and management · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn light of the growing ageing population, the World Health Organization called for special attention to the age-friendliness of hospitals. Despite the concept of 'age-friendly hospitals' promising to enhance health care, there is no consensus within the field regarding its definition. The aim of this concept analysis was to clarify the attributes, antecedents, and consequences of age-friendly hospitals, thereby fostering a deeper understanding of the concept.
methodsWalker and Avant's eight-step concept analysis method was employed. A systematic review of the Literature on age-friendly hospital settings was conducted across 11 electronic databases, including PubMed, Scopus, Web of Science, CINAHL (EBSCO), Cochrane Library, Embase, CNKI, Wanfang Data, VIP Database, Airiti Library, and SinoMed. The original search covered publications from each database's inception to November 2022. An updated search (December 2023) captured studies published after the initial search and up to December 2023, with duplicates excluded. Two researchers independently screened the literature and cross-checked it against the inclusion and exclusion criteria. A qualitative content analysis was conducted for data synthesis.
resultsA total of 5,489 records were identified through the initial and updated searches. After removing duplicates and screening titles and abstracts, 56 articles were included in the final analysis. The defining attributes of age-friendly hospitals were identified as adapting to the developmental needs, promoting the autonomy and engagement, and a sense of ease and burden-free for older adults. Antecedents included recognizing the unique needs of older adults, a discrepancy between needs and hospital services, and a transformation of health care. The consequences of implementing age-friendly hospitals can be categorized into three themes: promoting the health, function, and well-being of older adults, improving satisfaction with the hospital experience, and advancing levels of hospital services.
conclusionsBy providing a clear understanding of what an age-friendly hospital entails, our theoretical definition allows for a more systematic approach to evaluating and improving hospital facilities for older adults. The theoretical definition proposed in this paper can be used as a starting point for operationalizing the concept, which will facilitate the optimization of future age-friendly hospital standards and the development of empirical studies.
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Registered trials
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.