Varabyova Yauheniya, Blankart Carl Rudolf, Greer Ann Lennarson, Schreyögg Jonas
Universität Hamburg, Hamburg Center for Health Economics, Hamburg, Germany.
Universität Hamburg, Hamburg Center for Health Economics, Hamburg, Germany; Brown University, Center for Gerontology and Health Care Research, School of Public Health, Providence, RI, USA.
Health Policy. 2017 Mar;121(3):230-242. doi: 10.1016/j.healthpol.2017.01.005. Epub 2017 Jan 24.
Studies of determinants of adoption of new medical technology have failed to coalesce into coherent knowledge. A flaw obscuring strong patterns may be a common habit of treating a wide range of health care innovations as a generic technology. We postulate three decisional systems that apply to different medical technologies with distinctive expertise, interest, and authority: medical-individualistic, fiscal-managerial, and strategic-institutional decisional systems. This review aims to examine the determinants of the adoption of medical technologies based on the corresponding decision-making system. We included quantitative and qualitative studies that analyzed factors facilitating or inhibiting the adoption of medical technologies. In total, 65 studies published between 1974 and 2014 met our inclusion criteria. These studies contained 688 occurrences of variables that were used to examine the adoption decisions, and we subsequently condensed these variables to 62 determinants in four main categories: organizational, individual, environmental, and innovation-related. The determinants and their empirical association with adoption were grouped and analyzed by the three decision-making systems. Although we did not identify substantial differences across the decision-making systems in terms of the direction of the determinants' influence on adoption, a clear pattern emerged in terms of the categories of determinants that were targeted in different decision-making systems.
关于新医疗技术采用决定因素的研究尚未形成连贯的知识体系。一个掩盖了显著模式的缺陷可能是将广泛的医疗保健创新视为通用技术的常见习惯。我们假设存在三种决策系统,它们适用于具有不同专业知识、利益和权威的不同医疗技术:医学个人主义决策系统、财政管理决策系统和战略机构决策系统。本综述旨在基于相应的决策系统研究医疗技术采用的决定因素。我们纳入了分析促进或抑制医疗技术采用因素的定量和定性研究。1974年至2014年间发表的65项研究符合我们的纳入标准。这些研究包含688个用于检验采用决策的变量,随后我们将这些变量归纳为四个主要类别中的62个决定因素:组织、个人、环境和创新相关。这些决定因素及其与采用的实证关联按三种决策系统进行分组和分析。尽管我们没有发现决策系统在决定因素对采用的影响方向上存在实质性差异,但在不同决策系统所针对的决定因素类别方面出现了明显的模式。