黃秀梨Hwang, Shiow-Li臺灣大學:護理學研究所楊恩慈Yang, En-TseEn-TseYang2010-05-052018-07-072010-05-052018-07-072008U0001-2407200811470600http://ntur.lib.ntu.edu.tw//handle/246246/180356本研究的目的在測試「Mishel疾病不確定感量表─成人版( Mishel’s Uncertainty in Illness Scale – Adult form； MUIS-A )」在台灣的適用性。本研究採立意取樣，樣本來自北部某醫學中心心臟內科加護病房之急性心肌梗塞患者110名，以結構式問卷訪談收集資料，並進行中文版「Mishel疾病不確定感量表」之信效度檢定。 MUIS-A包括33題，其中不明確性因素13題，複雜性因素7題，不一致性因素7題，不可預測性因素5題。本研究將MUIS-A翻譯成中文後，以內容效度指標、項目分析、建構效度、效標關聯效度、區辨效度、內在一致性信度，測試整份量表之信度與效度。並探討急性心肌梗塞病患之人口學特質及疾病特性，與患者疾病不確定感間的關係。 研究結果發現：1.量表之專家內容效度指標為.96，支持本量表具有內容效度。2.量表整體的內在一致性信度係數Cronbach’s α為.894，其中各因素之α值分別為：不明確性.837，複雜性.622，不一致性.275，不可預測性.683。因其中複雜性、不一致性與不可預測性因素之α偏低，故進行量表之修訂，經項目分析後將10題從量表中刪除。3.經修訂後含23題之中文疾病不確定感量表，以探索性因素分析進行建構效度之檢定，結果產生兩個因素(不明確性、複雜性)，可解釋34.17%的變異量。4. 修訂後之中文疾病不確定感量表，其Cronbach’s α為.896，其中不明確性與複雜性因素的α分別為.891與.796，均較修訂前為高。5.以情境焦慮量表作為效標，修訂後之疾病不確定感量表與效標具有顯著之相關（r = .496、p < .01)，並高於修訂前量表與效標之相關（r = .492、p < .01)。6.區辨效度部分，修正後之疾病不確定感量表具有良好之區辨效度(t = 24.688、p < .05)，並較修訂前量表之區辨效度(t = 18.071、p < .05)更為顯著。7. 心肌梗塞病患於加護病房期間感受到中度至高度的不確定感，其不確定感分數來自於不明確性因素較複雜性因素為高。8. 由t檢定與變異數分析之方式得知，年齡、性別、教育程度、有無合併症、住院天數，均與不確定感得分有顯著相關，為影響心肌梗塞病患疾病不確定感之重要因素。由多元迴歸分析發現，初次患病、教育程度、性別、有合併症、年齡為心肌梗塞病患疾病不確定感之預測因子，共可解釋55.2%的變異量。 本研究之結果支持，此修訂後含23題之中文疾病不確定感量表可適用於台灣，並可作為心臟科護理人員了解病患疾病不確定感之評量工具，進而在未來設計系統性之護理措施，以有效降低心肌梗塞病患之疾病不確定感。The purpose of this study was to examine the usefulness of the Mishel’s Uncertainty in Illness Scale – Adult form (MUIS-A) by conducting item analysis, testing validity and reliability of the scale. The data were collected by conducting questionnaire survey with 110 subjects purposively sampled who were admitted to coronary care unit at a university hospital in Taipei. We tested content validity, construct validity, criterion-related validity, discriminate validity and internal consistency. The MUIS-A consisted of four factors: 13 items for ambiguity, 7 items for complexity, 7 items for inconsistency, and 5 items for unpredictability. We revised and established the reliability and validity of the Chinese version of this scale, and found the relationship between demographic factors, disease attributes and uncertainty of illness in acute myocardial infarction patients. The results showed that :.Content validity was supported by revealing .96 of content validity index..The internal consistency (Cronbach’s α) of the MUIS-A was .894, and that of the ambiguity was .837,the complexity was .622, the inconsistency was .275, and the unpredictability was .683. 10 items were deleted after conducting item analysis..Exploratory factor analysis revealed two factors : ambiguity and complexity, which could explain 34.17% of the variance..The Cronbach’s α of the MUIS-A was .896, and that of the ambiguity was .891,the complexity was .796. It revealed better reliability after revising the MUIS-A..We used State Anxiety Scale as the criterion-related validity tool. The Chinese version of MUIS-A had significant correlations with State Anxiety Scale ( r = .496, p < .01). The criterion-related validity was better then that of un-revised MUIS-A ( r = .492, p < .01)..Discriminate validity was supported by revealing significant difference between acute myocardial infarction and chronic hypertension patients( t = 24.688, p < .05). Compared with MUIS-A before revising ( t = 18.071, p < .05), it had better discriminate validity..Acute myocardial infarction patients experienced moderate to high uncertainty in coronary care unit. The uncertainty sources from ambiguity was more then that from complexity..T test and ANOVA revealed that significantly correlative factors of uncertainty in acute myocardial infarction patients were age, gender, years of education, complications and days stayed in hospital. Multiple regression model revealed that the best factors of predicting uncertainty in acute myocardial infarction patients were years of education, gender, complications and age. This model explained 55.2% of variance. The study showed that the revised Chinese version of MUIS-A was an acceptable instrument to measure uncertainty after deleting ten items from the MUIS-A. The results could also contribute to evaluation of uncertainty in coronary care unit, and suggest nurses to develop systematic nursing instructions to decrease the uncertainty of acute myocardial infarction patients.第一章 緒論一節 研究動機………………………………………… 1二節 研究目的………………………………………… 2三節 研究問題………………………………………… 3四節 名詞界定………………………………………… 4二章 文獻查證一節 不確定感………………………………………… 5二節 Mishel疾病不確定感量表的發展……………… 9三節 評量表的信度與效度…………………………… 11四節 Mishel疾病不確定感量表的信效度…………… 13五節 不確定感相關研究……………………………… 14三章 研究方法一節 研究對象及場所………………………………… 17二節 研究工具………………………………………… 18 三節 研究過程………………………………………… 20四節 資料收集步驟…………………………………… 22五節 資料分析與處理………………………………… 23四章 研究結果一節 研究對象之基本人口學特質與疾病特性……… 24二節 Mishel疾病不確定感量表中文版－成人版之 效度檢定.................................26三節 Mishel疾病不確定感量表中文版－成人版之 信度檢定.................................33四節 心肌梗塞患者之疾病不確定感………………… 34五節 人口學特質及疾病特性與心肌梗塞病患疾病不確 定感之相關性與預測分析……………………… 37五章 討論一節 Mishel疾病不確定感量表中文版－成人版之雙次 翻譯……………………………………………… 41二節 Mishel疾病不確定感量表中文版－成人版之效度..42三節 Mishel疾病不確定感量表中文版－成人版之信度..47四節 心肌梗塞患者之疾病不確定感………………… 48五節 人口學特質及疾病特性與心肌梗塞病患疾病不確 定感之相關性與預測分析…………………… 49六章 結論一節 結論………………………………………………52二節 應用與建議………………………………………54三節 研究限制及建議…………………………………55考文獻文部分 ……………………………………………………56文部分 ……………………………………………………58件件一 專家內容效度諮詢專家名單……………………60件二 專家內容效度評量表……………………………61件三 量表專家效度鑑定結果…………………………64件四 研究同意書………………………………………66件五 Mishel疾病不確定感量表………………………67件六 情境焦慮量表……………………………………69件七 基本資料表………………………………………70件八 研究工具使用同意書—Mishel疾病不確定感量表…71件九 研究工具使用同意書—情境焦慮量表…………… 72一 基本人口學及疾病特性資料…………………………25二 刪除題目之考量條件…………………………………27三 探索性因素分析結果…………………………………29四 疾病不確定感與情境焦慮之皮爾森相關分析………30五 修訂前量表之區辨效度t檢定差異分析…………… 32六 修訂後量表之區辨效度t檢定差異分析…………… 32七 疾病不確定感量表之內在一致性信度…………… 33八 修訂後疾病不確定感量表之描述性統計……………35九 人口學特質及疾病特性與心肌梗塞患者疾病不確定感之t檢定與變異數分析……………………………… 39十 人口學特質及疾病特性與心肌梗塞患者疾病不確定感之逐步迴歸分析………………………………………40application/pdf839749 bytesapplication/pdfen-US疾病不確定感量表Mishel''s Uncertainty in Illness Scalehttp://ntur.lib.ntu.edu.tw/bitstream/246246/180356/1/ntu-97-R91426013-1.pdf