Direction de l'évaluation des technologies et modes d'intervention en santé, Centre Hospitalier de l'Université de Montréal, 1058, St-Denis Street, Montreal, Quebec, Canada, H2X 3J4.
J Digit Imaging. 2011 Dec;24(6):951-8. doi: 10.1007/s10278-011-9378-x.
The purpose of this study was to measure users' perceived benefits of a picture archiving and communication system (PACS) upgrade, and compare their responses to those predicted by developers. The Task-Technology Fit (TTF) model served as the theoretical framework to study the relation between TTF, utilization, and perceived benefits. A self-administered survey was distributed to radiologists working in a university hospital undergoing a PACS upgrade. Four variables were measured: impact, utilization, TTF, and perceived net benefits. The radiologists were divided into subgroups according to their utilization profiles. Analysis of variance was performed and the hypotheses were tested with regression analysis. Interviews were conducted with developers involved in the PACS upgrade who were asked to predict impact and TTF. Users identified only a moderate fit between the PACS enhancements and their tasks, while developers predicted a high level of TTF. The combination of a moderate fit and an underestimation of the potential impact of changes in the PACS led to a low score for perceived net benefits. Results varied significantly among user subgroups. Globally, the data support the hypotheses that TTF predicts utilization and perceived net benefits, but not that utilization predicts perceived net benefits. TTF is a valid tool to assess perceived benefits, but it is important to take into account the characteristics of users. In the context of a technology that is rapidly evolving, there needs to be an alignment of what users perceive as a good fit and the functionality developers incorporate into their products.
本研究旨在衡量用户对影像归档与通信系统 (PACS) 升级的感知收益，并将他们的反应与开发者的预期进行比较。任务技术适配 (TTF) 模型被用作研究 TTF、利用和感知收益之间关系的理论框架。一项自我管理的调查被分发给在一家正在进行 PACS 升级的大学医院工作的放射科医生。四个变量被测量：影响、利用、TTF 和感知净收益。根据他们的利用情况，将放射科医生分为不同的小组。进行方差分析，并通过回归分析检验假设。对参与 PACS 升级的开发者进行了访谈，要求他们预测影响和 TTF。用户仅识别出 PACS 增强与任务之间的中度适配，而开发者预测 TTF 水平较高。PACS 中变化的适度适配和对潜在影响的低估导致感知净收益得分较低。用户亚组之间的结果差异显著。总体而言，数据支持 TTF 预测利用和感知净收益的假设，但不支持利用预测感知净收益的假设。TTF 是评估感知收益的有效工具，但重要的是要考虑用户的特征。在技术快速发展的背景下，需要将用户认为良好适配的功能与开发者纳入其产品的功能相匹配。
