This paper aims to address the information gap on the influence of socio-demographic factors on access and utilization of Assistive Technology (AT) among children with disabilities in Malawi. Thus, it contributes towards the realization of the recommendations of the UN Convention on the Rights of Persons with disabilities and the development of a framework for creating an effective national AT policy. The paper used two statistically matched datasets, namely, the 2017 survey on Living conditions among persons with disabilities in Malawi and the 2015-16 Malawi Demographic and Health survey. Logistic regression and structural equation modeling techniques were utilized to assess the influence of socio-demographic factors on the use of AT among children with disabilities. The results indicate that there is a high level of unmet need for AT among young children aged 2 to 9 and those living in urban areas. The results further indicate that children with multiple disabilities have lower odds (OR = 0.924) of using AT for personal mobility compared to children with a single functional difficulty. These results entail that AT needs for children with multiple disabilities are not adequately addressed. Therefore, when developing policies on AT, younger children and those with multiple disabilities need to be specifically targeted.
A secondary-data analysis was employed in this study, where data from two-nationally representative surveys, namely, the 2017 Living conditions among persons with disabilities (2017 LCS) and the 2015-16 Malawi Demographic and Health Survey (2015-16 MDHS) were utilized [19]. These two datasets involved larger samples that were representative of the target population and thus allowed for greater validity and generalization of the study findings. The 2017 LCS and the 2015-16 MDHS also contain substantial disability data that can be used in the development of new knowledge, however, researchers in this country always underutilize this data. The data used to examine the relationship between socio-demographic factors and the use of AT was obtained by statistically matching the 2017 LCS and the 2015-16 MDHS [19]. The 2017 LCS is a nationally representative survey that was conducted between 2016 and 2017 among households of individuals with and without disabilities. This study was a follow-up to a similar study that was conducted between 2003 and 2004. The survey was conducted to map the living conditions among persons with disabilities and to compare the living conditions of the disabled with those of the non-disabled population. The survey collected information on disability indicators that would determine any changes in the living conditions of persons with disabilities [14]. For children with disabilities, their information was collected from either the head of the household in the absence of the child or the presence of the disabled child using the UNICEF module on Child Functioning [14]. Regarding the use of assistive technologies, the 2017 LCS survey participants with various functional limitations were asked if they were using the following assistive devices or products: for personal mobility (wheelchairs, crutches, walking sticks, white cane, guide dog, standing frame); for obtaining information (eyeglasses, hearing aids, magnifying glass, enlarged print, and braille); for personal care and protection (special fasteners, bath, and shower seats, toilet seat raiser, commode chairs, safety rails, and eating aids); for communication (sign language interpreter, fax, portable writer, and portable computers); for handling products and goods (gripping tongs, aids for opening containers, and tools for gardening); in-terms of household items (flashlight on the doorbell, amplified telephone, vibrating alarm clock); for computer assistive technologies (keyboard for the blind). The assistive technologies were not differentiated in terms of low cost, improvised aids, and manufactured aids [14]. Among the 1475 children with disabilities that were sampled in the survey, only 1.9% of the sample was using any type of assistive technology. The 2015-16 MDHS, on the other hand, is a cross-sectional survey that was conducted from October 2015 to February 2016. This study was conducted by the Malawi National Statistics Office in collaboration with the Ministry of Health [20]. The survey was conducted to provide an overview of the country’s population, maternal and child health, and other health indicators including measures of nutritional status and knowledge and attitude of women and men about sexually transmitted diseases [20]. Regarding disability, the survey collected information about functional limitations or disabilities of children aged 2 to 17. This information was obtained from the respondents through a household questionnaire. The questions on disability or functional limitation included speech and language, hearing, vision, learning (cognition and intellectual development) mobility and motor skills, emotions, and behaviors [20]. Concerning assistive devices, the survey only asked about the use glasses and hearing aids.