Author:
Clair Veronic,Atkinson Kaitlin,Musau Abednego,Mutiso Victoria,Bosire Edna,Gitonga Isaiah,Small Will,Ndetei David,Frank Erica
Abstract
AbstractQuality 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.
Funder
Grand Challenges Canada
Michael Smith Foundation
IMPART Addiction Research Training
Canadian Addiction Medicine Research Fellowship
Annenberg Physician Training in Addiction Medicine
Canada Research Chair Program
MSFHR Career Scholar Award
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health
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