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: 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 And Objective: In Spain, Quality Units play a key and unique role in advising healthcare centers on the methodology of healthcare quality. The objectives of the study were to develop computer algorithms to obtain a synthetic indicator of standard compliance for Quality Units and to pilot its functioning in these units.
Materials And Methods: The Excel program was used to establish evaluation algorithms, and quantitatively interrelate and weight various categories of standards, as a computer evaluation tool, to build a continuous improvement cycle system, and offer a global synthetic indicator of compliance. The tool was tested in a prospective multicenter pilot study, in which coordinators of Quality Units from different health centers and care settings participated, to evaluate the usefulness of the tool and compliance with the standards, in addition to analyzing the content validity of each standard.
Results: The formulas for the structured computer algorithms were developed, consecutively, in a «PLAN-DO-CHECK-ACT» improvement cycle for the 9 categories of standards, resulting in a single synthetic indicator of compliance. Twenty-one Quality Units participated in the piloting. The overall average compliance rate for the synthetic indicator was 55.63% with differences between centers (P=.002) and between categories (P<.0001), but not by autonomous communities (P=.86) or by areas (P=.97). Content validity was ensured through the variable of «understanding» of the standards (P<.001), and through their «justification» with documentary evidence (P<.001).
Conclusions: The computer tool with the synthetic indicator have allowed for the evaluation of standard compliance in Quality Units of healthcare centers.
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http://dx.doi.org/10.1016/j.jhqr.2024.03.007 | DOI Listing |
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