A simple quantitative model for replacement of medical equipment proposed to developing countries

Along the medical equipment life cycle, hospitals need to take decisions on medical equipment acquisition, maintenance, use and replacement on the basis of complete and reliable information. In this paper, the authors focus on the replacement criteria in developing countries where there is a lack of scientific, realistic and comprehensive assessment. In the proposed model, we use Fault Tree analysis (FTA) to model the replacement process using a set of indicators that impact directly or indirectly the replacement decision. We include the vendor support as a fundamental technical indicator in the analysis. This model considers the replacement decision as a final and undesirable event. Using probability theory, the medical equipment status is classified into 4 groups. According to the final event score, the replacement decision is approved or not. Neonatal Intensive Care Unit (NICU) equipment of 8 different types, along three years, are utilized to investigate the proposed model. Our model proposes a priority list of equipment that should be replaced. The type and number of equipment to be purchased is determined according to the available budget. The results show that 15% of equipment should be replaced, 33% need to be tested, 33% are under surveillance and 19% could be maintained.