研究生: |
郭蓁蓁 Kuo, Chen-chen |
---|---|
論文名稱: |
「護理工作負荷與病人照護成果」資料庫之品質探討 Exploring Quality of Database of the Nursing Workload and Patient Outcomes |
指導教授: |
顏妙芬
Yen, Miao-fen |
學位類別: |
碩士 Master |
系所名稱: |
醫學院 - 護理學系 Department of Nursing |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 中文 |
論文頁數: | 86 |
中文關鍵詞: | 工作負荷 、資料庫 、品質指標 、病人照護成果 |
外文關鍵詞: | quality indicators, patient outcomes, workload, database |
相關次數: | 點閱:83 下載:3 |
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為了確保「護理工作負荷與病人照護成果」資料庫提供正確的實證數據,本研究目的是測試「護理工作負荷與病人照護成果」資料庫的正確性。採描述性研究設計,在「科技層面」方面,主要是確保資料庫系統運作的正確性,將運用黑箱測試來確認架構設計、安全機制及軟體控制的情形。以立意取樣方式,選取30名護理系所的學生進行黑箱測試;在「內容層面」方面,主要是瞭解資料品質的正確性,利用測量指標來評量紙本與電子版資料之正確性、資料匯出的正確性、使用者對資料庫品質的看法,研究對象為參與「護理人力資源對病人照顧結果之影響」計畫的醫院之30筆護理單位資料和10位資料庫使用者。資料分析方式,以描述性統計及內容分析法,進行資料的處理與分析。在「科技層面」方面,研究發現黑箱測試錯誤率為1.88%、測試效率為1.88%、缺失修正效益(fault record effectiveness)為100%。在「內容層面」品質方面,紙本與電子版資料之正確率為99.95%、資料庫匯出的資料正確率為99.66%,。受訪者提出改善資料庫之建議為(1)改善版面設計,讓操作更便捷。(2)新增留言功能,提供雙向溝通的管道,這些意見可作為改善本資料庫的品質依據。總結:本資料庫具有高正確性的資料品質和低系統錯誤率,期望該資料庫可作為未來護理人力相關研究議題來源之基石,進而提昇現今整體的醫療照護品質
The purpose of this study was to evaluate the quality of a database on nursing workload and patient outcomes. A descriptive design was utilized. The evaluation of the quality involved three parts. The first part, in the technology aspect, to ensure the accuracy of the database, the black box test was used to evaluate the design of the database construction, the safety mechanism and the control of the software. Second, a purposive sampling was used to test the quality of the content. Thirty college students were recruited from a department of nursing. Measurement indicators were applied to evaluate the data accuracy between paper version and electronic version, the accuracy rate of transfer the database data into excel files, and the perspective of users on database quality. The third, thirty records from studied nursing units in the database were evaluated, and 10 users participated in the original study were contacted. The results indicated that the error rate of black box testing was 1.88%, the testing efficiency was 1.88%, and fault record effectiveness was 100%. In the content aspect, the data accuracy rate between paper version and electronic version was 99.95%, the accuracy rate of transfer the database data into excel file was 99.66%. Participants indicated that the layout of form should be modified for easy reading and a communication channel should be established through the web. Conclusions: The quality of this database is adequate. It can be used in the future research to evaluate the nursing manpower in relation to patient outcomes.
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