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Machine Learning Models for Predicting IVF Live Births Based on Features Selection Techniques
No full text指導教授:羅家倫試管嬰兒（In Vitro Fertilization, IVF）為不孕者帶來生子的希望。但因每次療程的低成功率與高自費，常造成不孕者產生憂鬱與焦慮。常見的是婦女療程前想提早知道以自己特徵條件之懷孕機率，但臨床上卻難以預測成功活產機率。故本研究利用機器學習技術來建立成功活產之試管嬰兒活產預測模型。期望找出掌握試管嬰兒活產之婦女特徵因素，以協助臨床決策與提供諮詢時使用。
本研究採次級資料庫回溯分析，探討南部某醫學中心2014 至2018年之生殖中心之人工生殖臨床資料。共1061案符合納入條件後進行資料分析及建模。本研究以不同的分類演算法選出最佳活產預測模型後，再以特徵選取功能挑選各變項特徵值排序，並以Apriori演算法來建立影響因子間的關聯規則。
研究結果顯示:1.年齡為顯著負相關，年齡愈高活產機率愈低；身高與活產為顯著正相關；不孕年為顯著負相關，不孕年愈久活產機率愈低；身高與活產為顯著正相關，身高較高活產機率較高；植入胚胎數為顯著負相關，植入胚胎數過多活產機率愈低；子宮鏡手術因素與試管嬰兒療程活產比率，顯著相關；胞漿精子注射與試管嬰兒療程活產比率，達顯著相關；2各變項特徵值前七項分別依序順序為年齡、不孕期間長短，精蟲顯微注射(Intra-Cytoplasmic Sperm Injection, ICSI)，春天、夏天、身體質量指數、不孕類型；3.透過這些關聯規則，試管嬰兒的實行後能順利得到懷孕並活產，與年紀愈小、不孕期間愈短、原發型不孕、身體質量指數是否正常較有關聯
Development of incontinence-associated dermatitis prevention bundle using an evidence-based framework
No full textBackground Incontinence-associated dermatitis (IAD) is a prevalent cause of skin damage in the clinical setting. IAD may cause a heat sensation, pruritus, pain and infection as well as prolong hospital stays and increase healthcare costs. Objective The aim of this study was to develop a bundle care guideline for IAD based on an evidence-based framework. Method Three steps were conducted: an IAD bundle care guideline was drafted, consensus among hospital nursing staff and clinical experts was obtained, and an evaluation was made by methodology experts. Results The initial guideline was approved by 30 nurses and seven clinical experts (two runs) to achieve >80% agreement. Three methodology experts evaluated the quality of the development process as a use recommendation. The IAD bundle care guideline consisted of four aspects with 19 interventions -- skin assessment, skin cleansing, skin protection and supportive care. The IAD bundle care guideline was standardised and evidence-based. Conclusions The developed IAD bundle care guideline integrates information from a systematic literature review and the opinions of nurses, clinical experts and methodology experts, and is recommended for clinical application. Further studies will be implemented to verify its effectiveness
Exploring the Use of Community Long-Term Care Services among Elderly with Disability in Rural Areas of Southern Taiwan
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sychometric Properties of the Chinese Version of the Jefferson Scale of Empathy-Healthcare Providers (JSE-HP) in Emergency Nurses
No full textSurvey of Health Promotion among Older Adults at Kaohsiung City in Taiwan: A Pilot Study
No full textUsing the Health Belief Model to Explore Nursing Students’ Relationships between COVID-19 Knowledge, Health Beliefs, Cues to Action, Self-efficacy, and Behavioral Intention: A Cross-Sectional Survey Study
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Comparison of good-death-care between family and patients who refuse cardiopulmonary resuscitation and emergency healthcare staff
No full text指導教授:張曉雲背景：急診室壅塞常導致病人滯留於觀察區等候住院病房，當中不乏已簽署拒絕心肺復甦術的末期病人，如能在待床期間儘早了解病人及其家屬對於善終的需求、了解急診醫護所能提供的善終照護是否為其所需，將能有助於提升末期照護品質與善終照護。
目的：探討拒絕心肺復甦術病人/家屬的善終需求與急診醫護人員能提供的善終照護之差異及其影響因素。
方法：本研究為描述相關性研究設計，以方便取樣於南部某醫學中心急診室的醫護人員及已簽署拒絕心肺復甦術的病人家屬各176人；以結構式問卷方式收集資料，包括：「急診醫護人員及病人/家屬的基本資料表」、「善終量表」兩部份。以SPSS 22統計軟體進行描述性統計及推論性統計。
結果：拒絕心肺復甦術病人/家屬的善終需求與急診醫護人員能提供的善終照護，除自尊與美麗不顯著外（z=-.96, p=0.34），其餘面向皆呈顯著差異。兩者對於善終照護最大差異之五個面向為：環境舒適(z=-13.74, p<.001)、與醫護人員有良好的關係（z=-13.46, p<.001）、與家人的關係良好（z=-12.58, p<.001）、病人的身體和精神上的舒適狀態（z=-12.31, p<.001）、被視為獨立個體般尊重（z=-12.10, p<.001）。醫護組人口學變項對於能否提供善終量表上的照護在整體總分上無顯著差異；病家組的人口學變項對於善終量表上的照護需求在整體總分上有顯著差異的有教育程度、是否罹患重大疾病或慢性病以及是否預立醫療決定書有關。
結論：急診醫護人員針對善終量表上所能提供的善終照護與拒絕心肺復甦術病人家屬對於善終之需求是有顯著差異的，可見病人家屬對於善終之需求大於醫護人員所能提供的；因此期望未來能加強急診醫護人員在善終層面上的照護，建構合適的急診環境及共照系統