Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Residing in a nursing home (NH) may increase emergency department (ED) utilization in patients with dementia; however, evidence regarding the status of and predictors for ED utilization of NH residents with dementia remains unclear, especially in Asia. This study aimed to assess the incidence density of ED visits and associated factors for the risk of ED utilization among NH residents with dementia.
Methods: This one-year cohort study followed 6595 NH residents with dementia aged ≧ 40 years from Taiwan's National Health Insurance Research Database between 2012 and 2014. The Andersen-Gill extension of Cox regression analysis with death as a competing risk was applied to investigate the association of the risk of all causes and the most common causes of ED utilization with the predisposing, enabling, and need factors as defined by the Andersen model.
Results: All participants encountered 9254 emergency visits in the 5371.49 person-years observed, representing incidence densities of ED visits of 1722.80 per 1000 person-years. Among them, respiratory disease was the most common cause of ED visits. The significant predictors for the risk of all-cause and respiratory-cause ED visits included: (1) predisposing factors (i.e., age and gender); (2) enabling factors (i.e., regional variables); and (3) need factors (i.e., prolonged ventilator dependence and comorbidity status).
Conclusions: Predisposing, enabling, and need factors could influence ED visits among studies patients. NH providers should consider these factors to develop strategies for reducing ED utilization.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441757 | PMC |
http://dx.doi.org/10.1186/s12877-023-04221-5 | DOI Listing |
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