Provision of AT is intended for equal opportunities for the social participation of people with a disability. Also, people with disabilities have the right to access AT regardless of the type of limitation, gender, race, age or region where they live. Research regarding AT in developing countries is scarce; thus, there is a need to conduct studies in such contexts. This study provides scientific evidence to support the development of models, approaches and strategies of AT provision in low-income countries where resources for rehabilitation are scarce.
To date, there are no broadly accepted or accurate models to determine appropriate staffing [levels] for clinical engineering departments (CEDs). The purpose of this study is to determine what the determinants of the staffing levels are (total number of full time equivalents (FTEs)) in CEDs in healthcare organisations. In doing so, we used a cross-sectional exploratory approach by using a multivariate regression model over a secondary source of data information from the AAMI Benchmarking Solutions-Healthcare Technology Management database. Two hundred and one healthcare organisations were included in our study. Our study revealed that on average, there are almost 14 biomedical technicians (BMETs) per clinical engineer and one FTE per 1083.72 devices (SD 545.69). The results of this study also revealed that the total number of devices and the total technology management hours devoted to these devices positively affects the number of FTEs in a CED, whereas the hospital complexity, measured by healthcare organisation patient discharges matters inversely. The most important factor that matters in the number of FTEs in CEDs was the total technology management hours devoted to devices. A value of explained variance (i.e. R) of 85% was obtained, indicating the strong power of the prediction accuracy of our multivariate regression model.
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