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
Quality improvement methods could assist in achieving needed health systems improvements to address mental health and substance use, especially in low-middle-income countries (LMICs). Online learning is a promising avenue to deliver quality improvement training. This Computer-based Drug and Alcohol Training Assessment in Kenya (eDATA-K) study assessed users' experience and outcome of a blended-eLearning quality improvement course and collaborative learning sessions. A theory of change, developed with decision-makers, identified relevant indicators of success. Data, analyzed using descriptive statistics and thematic analysis, were collected through extensive field observations, the eLearning platform, focus group discussions, and key informant interviews. The results showed that 22 community health workers and clinicians in five facilities developed competencies enabling them to form quality improvement teams and sustain the new substance-use services for the 8 months of the study, resulting in 4591 people screened, of which 575 received a brief intervention. Factors promoting course completion included personal motivation, prior positive experience with NextGenU.org's courses, and a certificate. Significant challenges included workload and network issues. The findings support the effectiveness of the blended-eLearning model to assist health workers in sustaining new services, in a supportive environment, even in a LMIC peri-urban and rural settings.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126625 | PMC |
http://dx.doi.org/10.1007/s11469-022-00781-6 | DOI Listing |
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