影響臨床資訊系統使用因素之探討：以科技接受模式、計劃行為理論及電腦自我效能的整合性觀點

An Integration of TAM, TPB and Self-Efficacy to Investigate Affective Factors in Predicting Using of Clinical Information System

謝碧容(Pi-Jung Hsieh) ； 許時涵(Shih-Han Syu) ； 郭品誼(Pin-Yi Kuo) ； 蘇郁涵(Yu-Han Su)

《健康管理學刊》 11卷2期 (2013/12) Pp. 107-123

摘要

在加護病房的護理人員，每天必須處理大量的資訊來迅速反應對病患的醫療照護，並有效利用資訊科技來確認及檢測病患的病情。在過去的研究中指出，成功的資訊系統是實際使用，而不只是系統功能的強調。因此，本研究目的是以計劃行為理論與科技接受模式為基礎，加入電腦自我效能為整合性架構，探討加護病房護理人員對臨床資訊系統使用的影響因素。本研究回收有效樣本72份，有效回收率為60%，採用部分最小平方法來驗證本研究模型。實證結果發現：持續使用會受到使用意圖之正向影響；使用意圖受知覺有用性、知覺易用性、知覺行為控制及主觀規範之正向影響；知覺有用性受電腦自我效能及知覺易用性之正向影響；知覺易用性受電腦自我效能之正向影響；持續使用會受控制變數服務部門之正向影響。最後，針對本研究之結果進行討論，以提供學術界與實務界之對於臨床護理資訊系統績效評估參考依循。

關鍵字

臨床資訊系統 ； 計劃行為理論 ； 科技接受模式 ； 電腦自我效能

並列摘要

Nurses need to deal with mass information and make a quick response for taking care patients in the Intensive Care Unit and the effective utilization of information technology is recognized to help detecting conditions of patients. Former researches indicate the success of information system is continuous using instead of powerful function. The purpose of this study is applying theories of TAM, TPB and computer self-efficacy to evaluate a behavioral model of continuance usage clinical information system in the Intensive Care Unit. Questionnaires were systematically distributed to nurses with experiences of using clinical information system. 72 questionnaires were collected and a total of valid response was 60%. Results showed that the continuance usage was positively influenced by behavioral intention. Behavioral intention was positively influenced by perceived usefulness, perceived ease of use, perceived behavioral control and subjective norms. Perceived usefulness was positively influenced by computer self-efficacy and perceived ease of use. Perceived ease of use was positively influenced by computer self-efficacy. Department of service was also an affective factor of continuance usage. Results of this study can provide references for practices of using information system.

並列關鍵字

Clinical information system ； Theory of planned behavior ； Technology acceptance model ； Computer self-efficacy