English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

However, this tool has not been adapted according to the specific characteristics of each ward, although many studies have been made on falls in chronic disease wards and in patients with cerebral infarction. In addition, no fall risk assessment tool to predict falls in hospitalized patients from each department has been statistically verified to predict the accuracy, suggesting that patients at risk of falls may not be accurately grasped. As the cause of falls differs in each ward, dealing with each department is desirable. The fall rate in respiratory wards is known to be high [3,4], but the cause remains unclear. Therefore, this study aimed to analyse the risk of falls in respiratory wards.

Cognitive deterioration upon admission is an important risk indicator of falls in the respiratory ward