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姓名 戴崇宇(Chung-Yu Dai)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 行動照護對慢性病患者血壓影響之研究
(Impact of mHealth on Blood Pressure in Patients with Chronic Diseases)
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摘要(中) 高血壓是心血管疾病、腦中風、糖尿病、腎臟病等重大慢性病的共同危險因子,也是目前全球疾病負擔(globalburdenofdisease)排名的首位。在台灣,18歲以上國人的高血壓盛行率達26.8%,且盛行率會隨年齡增加而上升。在科技進步迅速的數位時代,使用行動照護(mHealth)便是一個可以很有效率的監控自身身體狀況的方式,當然血壓也不例外。截至2021年,在主要手機平台上架的mHealthapp的數量已經超過了35萬個。然而,在台灣卻鮮少有研究者針對mHealth對於慢性病病患血壓的影響來進行研究。因此,本研究透過與台灣本地的醫院合作,收集了66位慢性病病患的健康資料,並以多元線性回歸模型來分析病患的血壓與「是否使用mHealth」、「使用頻率」以及「使用天數」之間的關聯性。我們的研究結果發現,在使用mHealth的情況下,量測次數越多,血壓也會越低。但相反的,我們也發現使用mHealth本身與mHealth的使用天數與病患的血壓並沒有顯著的關聯性。因此,我們認為要發揮mHealth最大效益的前提,就是病患要持續穩定的進行自主量測。
摘要(英) Hypertension is a common risk factor for major chronic diseases such as cardiovasculardisease, stroke, diabetes, and kidney disease. It currently ranks as the leading contributor to theglobal burden of disease. In Taiwan, the prevalence of hypertension among individuals aged 18and above is 26.8%, and the prevalence increases with age. In this era of rapid technologicaladvancement, mobile health (mHealth) has emerged as an effective means of monitoring one′shealth status, including blood pressure. As of 2021, there are over 350,000 mHealth appsavailable on major mobile platforms. However, there is limited research in Taiwan thatspecifically examines the impact of mHealth on blood pressure among patients with chronicdiseases. Therefore, this study collaborated with local hospitals in Taiwan to collect health datafrom 66 patients with chronic diseases and used a multiple linear regression model to analyzethe relationship between patients′ blood pressure and their use of mHealth, frequency of use,and duration of use. Our research findings indicate that with the use of mHealth, highermeasurement frequency is associated with lower blood pressure. Conversely, we found nosignificant association between the use of mHealth itself or the duration of use and patients′blood pressure. Therefore, we believe that for mHealth to be maximally beneficial, patientsneed to consistently and independently monitor their blood pressure.
關鍵字(中) ★ 行動醫療
★ 應用程式
★ 血壓
★ 高血壓
★ 病患自我管理
關鍵字(英) ★ mHealth
★ mobile app
★ blood pressure
★ hypertension
★ patient self-management
論文目次 中文摘要 ..................................................................................................................................... i
Abstract ...................................................................................................................................... ii
CONTENTS .............................................................................................................................. iii
LIST OF FIGURES ................................................................................................................. iv
LIST OF TABLES .................................................................................................................... iv
Chapter 1 Introduction ......................................................................................................... 1
Chapter 2 Hypothesis & Related Work ................................................................................ 4
2.1 Benefit of mHealth ..................................................................................................... 4
2.2 The Frequency of Blood Pressure Measurements: ................................................. 4
2.3 The Time Staying with The Program ...................................................................... 5
Chapter 3 Methods ................................................................................................................ 7
3.1 Data Background ....................................................................................................... 7
3.2 Data Processing .......................................................................................................... 9
3.3 Analyzing Data ......................................................................................................... 11
3.4 White Coat Effect ..................................................................................................... 12
Chapter 4 Results & Discussion ......................................................................................... 13
4.1 Descriptive Statistics ................................................................................................ 13
4.2 Results of Multiple Linear Regression ................................................................... 13
4.2.1 Systolic Blood Pressure ................................................................................................................... 13
4.2.2 Diastolic Blood Pressure ................................................................................................................. 15
4.3 Results of Paired Sample T-test .............................................................................. 15
4.4 Results of White Coat Effect ................................................................................... 16
4.5 Discussion ................................................................................................................. 17
Chapter 5 Conclusion ......................................................................................................... 18
5.1 Conclusion ................................................................................................................ 18
5.2 Limitations and Future Directions ......................................................................... 19
Reference.................................................................................................................................. 21
Appendix .................................................................................................................................. 26
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指導教授 陳炫碩(Shiuann-Shuoh Chen) 審核日期 2024-7-19
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