[[alternative]]Relevant Factors Affecting Nurse Use of a Pain Management System

[[abstract]]疼痛已成為病人第五生命徵象，如何有效評估和處理疼痛已成為醫療品質重要的指標。隨著資通訊科技的發展，臨床照護已邁入資訊化時代，許多醫療機構發展護理資訊系統，提供以病人為中心的照護。但近年來探討護理資訊發展成效的報告中，有關疼痛照護資訊系統導入的成效研究較少，因此本研究目的是以資訊系統成功模式為架構，於疼痛照護系統導入後，探討影響護理人員使用疼痛照護系統的相關因素。本研究採用橫斷式研究，以方便取樣方式，選取中部某醫學中心的282位護理人員為研究對象，採用問卷調查法，於2017年3月1日疼痛照護系統正式導入後三個月進行資料收集究。研究資料以SPSS 19.0版軟體進行資料建檔，採用描述性統計和推論性統計方法進行資料分析。研究結果發現：（1）影響護理人員使用疼痛照護系統的各項因素中，以「資訊品質」平均數4.71分為得分最高，顯示此系統能提供完整性及正確性的疼痛照護資訊。（2）影響護理人員使用疼痛照護系統各項因素之間相關性皆為正相關，以「資訊品質」對「使用意圖」和「使用滿意度」相關性最高，而「使用意圖」、「使用滿意度」與「淨效益」亦有高度的相關性，以「使用滿意度」對「淨效益」的相關性最高。（3）在使用疼痛照護系統效益的預測因素中，以「資訊品質」對「使用意圖」和「使用滿意度」預測力最高，解釋力分別為72.6 %和69.1 %，同時「使用滿意度」對「淨效益」亦有極高影響力，解釋力為81.2 %。經由本研究驗證資訊系統成功模式，能探討影響護理人員使用疼痛照護系統的相關因素，且可進一步預測此系統推展的淨效益，本研究結果期望做為未來評值疼痛相關照護系統和臨床資訊系統導入成效的參考。[[abstract]]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