Department of Public Health, University of Naples "Federico II", Naples, Italy; Management and Automation of Healthcare Organizations, Biomedical Engineering at the Department of Electrical Engineering and Information Technology (DIETI), University of Naples ``Federico II'', Naples, Italy.
Department of Public Health, University of Naples "Federico II", Naples, Italy.
Math Biosci. 2018 May;299:19-27. doi: 10.1016/j.mbs.2018.03.004. Epub 2018 Mar 5.
Health technology assessments (HTAs) are often difficult to conduct because of the decisive procedures of the HTA algorithm, which are often complex and not easy to apply. Thus, their use is not always convenient or possible for the assessment of technical requests requiring a multidisciplinary approach. This paper aims to address this issue through a multi-criteria analysis focusing on the analytic hierarchy process (AHP). This methodology allows the decision maker to analyse and evaluate different alternatives and monitor their impact on different actors during the decision-making process. However, the multi-criteria analysis is implemented through a simulation model to overcome the limitations of the AHP methodology. Simulations help decision-makers to make an appropriate decision and avoid unnecessary and costly attempts. Finally, a decision problem regarding the evaluation of two health technologies, namely, the evaluation of two biological prostheses for incisional infected hernias, will be analysed to assess the effectiveness of the model.
健康技术评估（HTA）通常很难进行，因为 HTA 算法的决策程序往往复杂且不易应用。因此，对于需要多学科方法评估的技术要求，其使用并不总是方便或可行。本文旨在通过多准则分析（重点是层次分析法（AHP））解决此问题。该方法允许决策者分析和评估不同的替代方案，并在决策过程中监测它们对不同参与者的影响。但是，多准则分析是通过仿真模型来实施的，以克服 AHP 方法的局限性。仿真有助于决策者做出适当的决策，并避免不必要和昂贵的尝试。最后，将分析一个关于评估两种健康技术的决策问题，即评估两种用于切口感染疝的生物假体，以评估该模型的有效性。
