Relevant Factors Affecting Nurse Use of a Pain Management System

• Main Authors: CHEN,LI-YA, 陳莉雅
• Other Authors: CHIOU,SHWU-FEN
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/s42men

碩士 === 國立臺北護理健康大學 === 護理研究所 === 106 === Over the past decade, pain has come to been known as the fifth vital sign. The effective assessment and management of pain has become an important indicator of quality in medical care. With the development of information and communication technology, clinical care also has entered the age of information technology. In recent years, many medical institutions have been developing nursing information systems to support patient-centered care. However, there are few studies about the effectiveness of pain management information systems in Taiwan. This study aimed to explore influencing factors and predictive capability for nursing staff use of a pain management system based on the information system success model（ISSM）. A cross-sectional studies method was employed in this study. A total of 282 nurses were recruited from a medical center in the center of Taiwan through convenience sampling. Research data was collected through a structured questionnaire three months after a pain management system was implemented on March 1, 2017. Analysis of descriptive statistics and inferential statistics were done with SPSS Statistical version 19.0. There were three key results: (1) In the relevant factors, the highest average score was 4.71 for “information quality”. This showed that the system provided complete and correct information regarding pain care. (2) The correlations between these factors were all positively correlated. “Information quality” had the highest relevance to “intention to use” and “user satisfaction”. “Intention to use”, “user satisfaction” and “net benefits” had high correlations, and “user satisfaction” was significantly correlated with “net benefits”. (3) In the predictor analysis, “information quality” had the highest positive power for “intention to use” and “user satisfaction” with an explanatory power of 72.6 % and 69.1 %, respectively. Meanwhile, “user satisfaction” highly affected “net benefits”, with an explanatory power of 81.2 %. These results elucidate the relevant factors affecting use of a pain management system by nurses, and can also predict system benefits. This study serves as a reference for the evaluation of a pain-related care system and the performance of future clinical information systems.