Implementing and Sustaining Brief Addiction Medicine Interventions with the Support of a Quality Improvement Blended-eLearning Course: Learner Experiences and Meaningful Outcomes in Kenya.

Addiction Blended courses Brief intervention Health services administration and management Lay health worker Medical education and training Mental health Primary care Qualitative research Quality improvement Substance misuse eLearning

Journal

International journal of mental health and addiction
ISSN: 1557-1874
Titre abrégé: Int J Ment Health Addict
Pays: United States
ID NLM: 101256588

Informations de publication

Date de publication:
2022
Historique:
accepted: 11 02 2022
pubmed: 1 6 2022
medline: 1 6 2022
entrez: 31 5 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35634518
doi: 10.1007/s11469-022-00781-6
pii: 781
pmc: PMC9126625
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3479-3500

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

Conflict of Interest The authors declare no competing interests.

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Auteurs

Veronic Clair (V)

Africa Mental Health Research and Training Foundation, PO Box, Nairobi, 48423-00100 Kenya.
School of Population and Public Health, The University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3 Canada.
NextGenU.org, PO Box 7, Clear Lake, WA 98235 USA.

Kaitlin Atkinson (K)

Africa Mental Health Research and Training Foundation, PO Box, Nairobi, 48423-00100 Kenya.
Faculty of Health Sciences, Centre for Applied Research in Mental Health and Addiction (CARMHA), Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6 Canada.
NextGenU.org, PO Box 7, Clear Lake, WA 98235 USA.

Abednego Musau (A)

Africa Mental Health Research and Training Foundation, PO Box, Nairobi, 48423-00100 Kenya.

Victoria Mutiso (V)

Africa Mental Health Research and Training Foundation, PO Box, Nairobi, 48423-00100 Kenya.

Edna Bosire (E)

Africa Mental Health Research and Training Foundation, PO Box, Nairobi, 48423-00100 Kenya.

Isaiah Gitonga (I)

Africa Mental Health Research and Training Foundation, PO Box, Nairobi, 48423-00100 Kenya.

Will Small (W)

Faculty of Health Sciences, Centre for Applied Research in Mental Health and Addiction (CARMHA), Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6 Canada.

David Ndetei (D)

Africa Mental Health Research and Training Foundation, PO Box, Nairobi, 48423-00100 Kenya.

Erica Frank (E)

School of Population and Public Health, The University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3 Canada.
NextGenU.org, PO Box 7, Clear Lake, WA 98235 USA.

Classifications MeSH