Use of Information Technology in Capacity Building: an Evaluation of Computer-based Training in Substance Use Disorders in Kenya

Abstract

The purpose of this study was to evaluate the effectiveness of computer based learning in mental health training in Kenya. The study used Computer Based Learning (CBL) as a tool to build the capacity of health care workers in assessing and treating mental illness related to drug Alcohol, Tobacco and Drug abuse. Treatment and care of people with alcohol and drug abuse problems is currently not a health service priority in Kenya. Unfortunately the area of mental health has recorded a double digit rise due to increased drug, alcohol and tobacco use. In the first phase, the questionnaires with the self efficacy scale in Computer Based Learning and clinical practice were filled. Focus group discussions were done to bring out their motivation and knowledge towards computer based learning and drug use. They were then introduced to mental healthcare training on the Next Gen U website and were expected to answer the journal questions during the training period. In The second phase (which was after 3 months) the post test questionnaires were given to participants who completed the training and another round of focus group discussion was done for the whole group. The study found out that 71.0 percent of respondents were male, while being 29.0 percent were female, 49.2 percent of those who participated in the training were between 21-23 years of age. Self efficacy of the participants improved in clinical practice from 38.8 percent before the training to 81.0 percent after the training. Self efficacy in computer based learning improved from 62.2 percent before the training to 71.8 percent after the training. Interference of cultural values while dealing mentally ill patients reduced from 40.0 percent to 4.0 percent. The study concludes that computer based learning is an effective way of training in mental health. However, it is also clear that internet availability and computers are necessary for effective computer based learning to be realized. It recommended that computer based learning can be used to increase the numbers of mental healthcare personnel in low income countries.