Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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: The incidence of falls on inpatient oncology units indicated the need for quality improvement. This project aimed to reduce falls by implementing a fall reduction plan including the "Traffic Light" Fall Risk Assessment Tool (TL-FRAT).
Local Problem: We retrospectively reviewed the oncology unit fall data from January 2013 to September 2014 and found that the average fall incidence was high.
Methods: The project used a program evaluation design, and the process was guided by Kotter's 8-step change model.
Interventions: We implemented the TL-FRAT to classify oncology inpatients at a high risk of falling in advance.
Results: The average fall incidence and falls with injury during the project were reduced.
Conclusions: Adding the TL-FRAT to the fall protocol on the units effectively reduced the incidence of falls related to impaired mobility. The TL-FRAT can improve nurses' sensitivity to falls related to impaired mobility and, subsequently, guide corresponding fall prevention strategies.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1097/NCQ.0000000000000353 | DOI Listing |
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