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: 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
Objective: We recently reported the first part of a study testing the impact of data literacy training on "assessing pain, spontaneous awakening and breathing trials, choice of analgesia and sedation, delirium monitoring/management, early exercise/mobility, and family and patient empowerment" [ABCDEF [A-F]) compliance. The purpose of the current study, part 2, was to evaluate the effectiveness of the implementation approach by surveying clinical staff to examine staff knowledge, skill, motivation, and organizational resources.
Design: The Clark and Estes Gap Analysis framework was used to study knowledge, motivation, and organization (KMO) influences. Assumed influences identified in the literature were used to design the A-F bundle implementation strategies. The influences were validated against a survey distributed to the ICU interprofessional team.
Setting: Single-center study was conducted in eight adult ICUs in a quaternary academic medical center.
Subjects: Interprofessional ICU clinical team.
Interventions: A quantitative survey was sent to 386 participants to evaluate the implementation design postimplementation. An exploratory factor analysis was performed to understand the relationship between the KMO influences and the questions posed to validate the influence. Descriptive statistics were used to identify strengths needed to sustain performance and weaknesses that required improvement to increase A-F bundle adherence.
Measurement And Results: The survey received an 83% response rate. The exploratory factor analysis confirmed that 38 of 42 questions had a strong relationship to the KMO influences, validating the survey's utility in evaluating the effectiveness of implementation design. A total of 12 KMO influences were identified, 8 were categorized as a strength and 4 as a weakness of the implementation.
Conclusions: Our study used an evidence-based gap analysis framework to demonstrate key implementation approaches needed to increase A-F bundle compliance. The following drivers were recommended as essential methods required for successful protocol implementation: data literacy training and performance monitoring, organizational support, value proposition, multidisciplinary collaboration, and interprofessional teamwork activities. We believe the learning generated in this two-part study is applicable to implementation design beyond the A-F bundle.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637401 | PMC |
http://dx.doi.org/10.1097/CCE.0000000000001007 | DOI Listing |
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