跳到主要內容

臺灣博碩士論文加值系統

(34.204.180.223) 您好!臺灣時間:2021/08/03 22:53
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:陳嚴章
研究生(外文):Yen-Chang Chen
論文名稱:用科技輔助酒精成癮治療:評估與瞭解戒酒小幫手如何幫助酒精依賴患者持續戒酒
論文名稱(外文):Supporting Alcohol Addiction Recovery with Technology: Evaluating and Understanding how SoberDiary Assists Alcohol-dependent Patients in Maintaining Abstinence
指導教授:朱浩華朱浩華引用關係
指導教授(外文):Hao-Hua Chu
口試委員:黃名琪許永真黃寶儀游創文
口試委員(外文):Ming-Chyi HuangYung-jen HsuChuang-Wen You
口試日期:2015-07-29
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:資訊網路與多媒體研究所
學門:電算機學門
學類:網路學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:78
中文關鍵詞:行動健康照護行為改變酒精依賴治療
外文關鍵詞:Mobile healthBehavior changeRecovery from alcohol dependence
相關次數:
  • 被引用被引用:1
  • 點閱點閱:209
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
酒精依賴是一種對自己身體健康、以及對家人及社會造成許多危害的慢性疾病,即使在醫院住院完成短暫的戒斷治療之後,由於日常生活中的許多誘因,造成很容易再度復發,為了維持酒精依賴患者的戒酒決心,我們開發了SoberDiary這套手機的輔助程式,透過科技的協助來讓酒精依賴患者自我管理他們的飲酒行為,以及幫助他們在日常生活中維持戒酒。為了驗證戒酒小幫手的成效,我們從台北市立聯合醫院松德院區測試38個酒癮依賴患者,請他們在日常生活中使用戒酒小幫手來輔助戒酒,從量化分析的結果可以得出戒酒小幫手幫助酒精依賴病患自我管理他們的酒精使用行為,因而他們的總飲酒量及重度飲酒天數減少,而與只接受傳統標準治療的病患比較,戒酒小幫手降低了飲酒渴求和中止實驗的比例,而質性分析的結果幫助我們瞭解戒酒小幫手是怎麼對酒精依賴病患發揮功效。總結來說,我們的結果顯現了戒酒小幫手能夠補足現有治療酒精依賴的不足。

Alcohol dependence is a chronic disorder associated with severe harm in multiple areas, and relapsing is easy despite treatment. This study proposes SoberDiary, a phone-based support system that enables alcohol-dependent patients to self-monitor and self-manage their own alcohol behavior and remain sober in their daily lives. We tested SoberDiary in a real-life 12-week user study involving 38 clinical patients. Quantitative and qualitative results show that SoberDiary helped patients to self-monitor and self-manage their alcohol use behavior while reducing their total alcohol consumption and the number of heavy drinking days. Compared with patients who received standard treatment alone, SoberDiary users exhibited reduced alcohol cravings and lower dropout rate while demonstrating the potential of SoberDiary to complement the current alcohol treatment to improve sobriety outcomes.

Acknowledgement i
中文摘要 ii
ABSTRACT iii
CONTENTS iv
LIST OF FIGURES vii
LIST OF TABLES viii
Chapter 1 Introduction 1
Chapter 2 Difficulties to Maintain Sobriety in Daily Lives 5
Chapter 3 SoberDiary Design 7
3.1 Portable Bluetooth Breathalyzer 7
3.2 SoberDiary Phone App 8
3.3 Backend Server 9
Chapter 4 SoberDiary Phone App 10
4.1 User Interface 10
4.2 Supporting Functional Module 10
4.2.1 Alcohol use detection 11
4.2.2 Progress feedback 12
4.2.3 Self-fulfilling guide 14
4.2.4 Managing skill suggestion 16
4.2.5 Mood sampling 16
4.3 App Use Logging 17
4.4 Behavioral Data Store 17
Chapter 5 SoberDiary Prototype 19
5.1 Hardware 19
5.2 Software 20
Chapter 6 User Study 21
6.1 Participants 21
6.2 Device 25
6.3 Procedure 25
6.4 Quantitative Results 28
6.4.1 Results for patients’ self-monitoring behavior 30
6.4.2 Differences between SoberDiary-detected and TLFB-recalled drinking days 31
6.4.3 How well SoberDiary complements current maintenance treatment 32
6.4.4 Application use behavior 36
6.5 Qualitative Findings 36
6.5.1 Self-administered monitoring improved self-efficacy 37
6.5.2 Coupons and performance ranking encouraged routine app usage but ineffective on determination 39
6.5.3 Experience reflection and goal setting enhanced determination 41
6.5.4 Present app’s results and accountability as a way to communicate with family members 43
Chapter 7 Discussion 45
7.1 Consideration of Alcohol-Screening Frequency 45
7.2 Constructive Cheating 46
7.3 Alternative Stakeholders to Manage SoberDiary in the Process of Alcohol Treatment 47
7.4 Difficulties in conducting randomized controlled trials 48
7.5 Reasons Causing Inconsistencies between System-Detected and Human-Recalled Sobriety Outcomes 48
Chapter 8 Design Implications and Potential Applications for Future Research 50
8.1 Providing Components for Life Event Logging and Summarization 51
8.1.1 Identifying contributing factors triggering alcohol use 52
8.2 Enabling Future Addiction Recovery Applications for Maintaining Abstinence from Drug Abuse 56
8.2.1 Potential design of a phone-based support system for helping ketamine-dependent patients 58
Chapter 9 Related Work 64
Chapter 10 Conclusion 67
REFERENCE 68


[1]Atmel 8-bit AVR RISC-based microcontroller.
http://www.atmel.com/devices/atmega328.aspx.
[2]Bosch BMP085 Digital Barometer.
https://www.sparkfun.com/products/11282.
[3]EGBT-045MS Bluetooth Module.
http://www.e-gizmo.com/KIT/egbt-04.htm.
[4]MR 513 type alcohol sensor.
http://www.futurlec.com/Alcohol_Sensor2.shtml.
[5]Standalone Linear Li-Ion Battery Charger.
http://www.linear.com/product/LTC4054-4.2
[6]Guth Model 2100, Alcohol Breath Test Simulator.
http://www.guthlabs.com/product.asp?item_id=184.
[7]S. M. Alessi, and N. M. Petry. A Randomized Study of Cell-phone Technology to Reinforce Alcohol Abstinence in the Natural Environment. Addiction. 108, 5 (2013), 900-909.
[8]G. R. Caddy, , M. B. Sobell, and L. C. Sobell. Alcohol Breath Tests: Criterion Times for Avoiding Contamination by “Mouth Alcohol”. newblock Behavior Research Methods & Instrumentation 10, 6 (1978), 814-818.
[9]M. -C. Chiu, S. -P. Chang, Y. -C. Chang, et al. Playful Bottle: A Mobile Social Persuasion System to Motivate Healthy Water Intake. In Proc. UbiComp 2009, ACM Press (2009), 185-194.
[10]S. Consolvo, D.W. McDonald, T. Toscos, et al. Activity Sensing in the Wild: A Field Trial of UbiFit Garden. In Proc. CHI 2008, ACM Press (2008), 1797-1806.
[11]D. H. Gustafson, B. R. Shaw, A. Isham, et al. Explicating an Evidence-based, Theoretically Informed, Mobile Technology-based System to Improve Outcomes for People in Recovery for Alcohol Dependence. Subst Use Misuse 46, 1 (2011), 96-111.
[12]R. Z. Litten, and J. P. Allen (Eds). Measuring Alcohol Consumption: Psychosocial and Biochemical Methods. Humana Press, 1992.
[13]J. R. McKay, T. R. Franklin, N. Patapis, et al. Conceptual, Methodological, and Analytical Issues in the Study of Relapse. Clin Psychol Rev 26, 2 (2006), 109-127.
[14]D. S. Moskowitz, and S. N. Young, Ecological Momentary Assessment: What It Is and Why It Is a Method of the Future in Clinical Psychopharmacology. J Psychiatry Neurosci 31, 1 (2006), 13-20.
[15]J. L. Obermayer, W. T. Riley, O. Asif, et al. College Smoking-cessation using Cell Phone Text Messaging. J Am Coll Health 53, 2 (2004), 71-78.
[16]I. L. Petrakis, A Rational Approach to the Pharmacotherapy of Alcohol Dependence. J Clin Psychopharmacol 26, (2006), Suppl 1:S3-S12.
[17]D. M. Donovan, and G. A. Marlatt, Relapse Prevention: Maintenance Strategies in the Treatment of Addictive Behaviors (Second Edition). The Guilford Press, 2007
[18]A. Natarajan, A. Parate, E. Gaiser, et al. Detecting Cocaine Use with Wearable Electrocardiogram Sensors. In Proc. UbiComp 2013, ACM Press (2013), 123-132.
[19]S. T. Higgins, and N. M. Petry, Contingency Management: Incentives for Sobriety. Alcohol Res Health 23, 2 (1999), 122-127.
[20]N. D. Volkow, Principles of Drug Addiction Treatment: A Research-Based Guide (2nd Ed.). DIANE Publishing Company, 2011.
[21]D. H. Gustafson, F.M. McTavish, M.A. Chih, et al. A Smartphone Application to Support Recovery from Alcoholism: A Randomized Clinical Trial. JAMA Psychiatry 71, 5 (2014), 566-572
[22]A. Bandura, Self-efficacy. In Encyclopedia of human behavior Vol. 4. Academic Press (1994), 71-81.
[23]J. Corbin, and A. Strauss, Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory 3e. SAGE Publications, 2008.
[24]G. E. Skipper, N. Thon, R.L. DuPont, et al. Cellular Photo Digital Breathalyzer for Monitoring Alcohol Use: A Pilot Study. Eur Addict Res 20, 3 (2014), 173-142
[25]K. Stawarz, A. L. Cox, and A. Blandford, Beyond Self-Tracking and Reminders: Designing Smartphone Apps That’s Support Habit Formation. In Proc. CHI 2015, ACM press(2015), 2653-2662.
[26]J. B. Bricker, K. E. Mull, and J. A. Kientz, et al. Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy. Drug and Alcohol Depend. 143(2014), 87-94.
[27]S. Yarosh. Shifting Dynamics or Breaking Sacred Traditions? The Role of Technology in Twelve-Step Fellowship. In Proc CHI 2013, ACM press(2013), 3413-3422
[28]P. L. Dulin, V. M. Gonzalez, and K. Cambell. Results of a Pilot Test of a Self-Administered Smartphone-Based Treatment System for Alcohol Use Disorders: Usability and Early Outcomes. Subst Abus 35, 2(2014), 168-175
[29]V. Braun, and V. Clarke. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2(2006), 77-101.
[30]J. Paay, J. Kjeldkov, and M. B. Skove. et al. Understanding Individual Difference for Tailored Smoking Cessation Apps. In Proc CHI 2015, ACM Press(2015). 1699-1708.
[31]R. Kadden, K. Carroll, and D. Donovan. Cognitive-Behavioral Coping Skills Therapy Manual- A Clinical Research Guide for Therapists Treating Individuals With Alcohol Abuse and Dependence. NIH Publication, 2004.
[32]#34 Alcohol Content in Common Preparations
https://www.mssny.org/App_Themes/MSSNY/pdf/AlcoholContent.pdf
[33]A. M. Cohn, D. Hunter-Reel, B. T. Hagman, J. Mitchell. Promoting Behavior Change from Alcohol Use Through Moible Technology: The Future of Ecological momentary assessment. Alcohol Clin Exp Res. 35, 12, 2209-2215
[34]A Humanist Alternative to AA’s Twelve Steps.
http://www.silkworth.net/magazine_newspaper/humanist_jul_aug_1987.html
[35]G. A. Merlatt, G. A. Parks, and K. Witkiewitz, Clinical Guideline for Implementing Relapse Prevention Therapy. University of Washington publication, 2002.
[36]Arduino Programming Language http://www.arduino.cc/en/Reference/HomePage
[37]Relapse rates for drug addiction are similar to those of other well-characterized chronic illnesses. http://www.drugabuse.gov/publications/addiction-science/relapse/relapse-rates-drug-addiction-are-similar-to-those-other-well-characterized-chronic-ill
[38]Rapid response signal drug saliva test cassette.
http://www.btnx.com/Product.aspx?id=1997.
[39]C. -C. Chen, C. -J. Kuo, S. -Y. Tsai, and S. -J, Yin. Relation of Genotypes of Alcohol Metabolizing Enzymes and Mortality of Liver Diseases in Patients with Alcohol Dependence. Addict. Biol., 9(3-4):233-237, 2004
[40]K. R. Corner and P. R. Duberstein. Predisposing and Precipitating Factors for Suicide among Alcoholics: Empircal Review and Conceptual Integration. Alcohol. Clin. Exp. Res., 28(5 Suppl):6S-17S, May 2004.
[41]G. A. Marlatt and D. M. Donovan. Relapse Prevention, Second Edition: Maintenance Strategies in the Treatment of Addictive Behavior. The Guilford Press, 2007
[42]D. S. Hasin, F. S. Stinson, E. Ogburn, and B. F. Grant. Prevalence, Correlates, Disability and Comorbidity of DSM-UV Alcohol Abuse and Dependence in the United States: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch. Gen. Psychiatry, 64(7):830-842, Jul 2007.
[43]J. H. Krystal, J. A. Cramer, W. F. Krol, G. F. Kirk, and R. A. Roseheck. Naltrexone in the Treatment of Alcohol Dependence. New England Journal of Medicine, 345(24):1734-1739, 2001.
[44]E. Laaksonen, , A. Koski-Jannes, M. Salaspuro, H. Ahtinen, and H. Alho, (2008). A Randomized Multicenter, Open-label, Comparative Trial of Disulfiram, Naltrexone and Acamprosate in the Treatment of Alcohol Dependence. Alcohol Alcohol., 43, 1:53-61.
[45]J. Nowinski. Twelve Steps Facilitation Therapy Manual: A Clinical Research Guide for The Therapists Treating Individuals with Alcohol Abuse and Dependence. Diane Publishing Company, 2010
[46]D. J. Nutt, L. A. King, and L. D. Phillips. Drug Harms in the UK: A Multicriteria Decision Analyisis. Lancet, 376(9752):1558-1565, Nov 2010.
[47]E. Ozdalga, A. Ozdalga, and N. Ahuja. The smartphone in Medicine: A Review of Current and Potential Use among Physicians and Students. J. Med. Internet Res., 14(5):e128, 2012
[48]U. W. Preuss, M. A. Schuckit, T. L. Smith, G. P. Danko, K. Buckman, L. Bierut, K. K. Bucholz, M. N. Hesselbrock, V. M. Hesselbrock, and T. Reich. Comparison of 3190 Alcohol-dependent Individuals with and without Suicide Attempts. Alcohol Clin. Exp. Res., 26(4):471-477, Apr 2002.
[49]K. Richardson, A. Baillie, S. Reid, K. Morley, M. Teesson, C. Sannibale, M. Weltman, and P. Haber. Do Acamprosate or Naltrexone Have an Effect on Daily Drinking by Reducing Craving for Alcohol? Addiction, 106(6):953-959, Jun 2008.
[50]S. Rosner, S. Leucht, P. Lehert, and M. Soyka. Acamprosate Supports Abstinence, Naltrexone Prevents Excessive Drinking: Evidence from a Meta-analysis with Unreported Outcomes. J. Psychopharmacol. (Oxford), 22(1):11-23, Jan 2008.
[51]J. Hicks, N. Ramanathan, D. Kim, M. Monibi, J. Selsky, M. Hansen, and D. Estrin. AndWellness: an open mobile system for activity and experience sampling. In Wireless Health 2010 (WH ’10). ACM, New York, NY, USA, 34-43.
[52]F. Yu, J. Albers, T. Gao, M. Wang, A. Bilberg, E. Stenager. A smartphone application of alcohol resilience treatement for behavioral self-control training. Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, vol., no., pp. 1976-1979, Aug. 28
[53]E. C. Larson, M. Goel, G. Boriello, S. Heltshe, M. Rosenfeld, and S. N. Patel. SpiroSmart: using a microphone to measure lung function on a mobile phone. In Proceedings of the 2012 ACM conference on Ubiquitous Computing(UbiComp ‘12). ACM press, 280-289
[54]R. L. Collins, T. B. Kashdan,and G. Gollnisch. The feasibility of using cellular phones to collect ecological momentary assessment data: application to alcohol consumption. Exp Clin Psychopharmacol, 11, 1:73-78
[55]M. J. Lucht, L. Hoffman, S. Haug, C. Meyer, D. Pussehl, A. Quellmalz, T. Klauer, H. J. Grabe, H. J. Freyberger. U. John, and G. Schomerus. A surveillance tool using mobile phone short message service to reduce alcohol consumption among alcohol- dependent patients. Alcohol. Clin. Exp. Res., 38, 6:1728-1736.
[56]M. Ko, S. Yang, J. Lee, C. Heizmann, J. Jeong, and U. Lee, et al. NUGU: A Group-based Intervention App for Improving Self-Regulation of Limiting Smartphone Use. In Proc CSCW 2015. ACM press, 1235-1245
[57]J. Kasckow, S. Zickmund, A. Rotondi, A. Markva… Development of Telehealth Dialogues for Monitoring Suicidal Patient with Schizophrenia: Consummer Feedback.
[58]M. Frost, A. Doryab, M. Faurholt-Jepsen, L. Kessing, and J. E. Bardram. Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System
[59]M. Tentori, G. R Hayes, and M. Reddy, (2012) Pervasive Computing for Hospital, Chronic, and Preventive Care. Foundations and Trends. Human–Computer Interaction, 5, 1, 1-95.
[60]G. A. Marlatt. Craving for alcohol, loss of control, and relapse: A cognitive–behavioral analysis. Springer US, 1978. New York: Plenum Press, 271-314.
[61]American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), American Psychiatric Association, 2013
[62]N. J. Goldstein, S. J. Martin, , and R. B. Cialdini. Yes!: 50 Scientifically Proven Ways to Be Persuasive. Free Press, New York, USA, 2008.
[63]H. M. Annis, and G. Martin. Inventory of Drug-Taking Situations. Toronto, Canada: Addiction Research Foundation (1985).
[64]E. K. Choe, B. Lee, M. Kay, W. Pratt, and J. Kientz. SleepTight: Low-burden, Self-monitoring Technology for Capturing and Reflecting on Sleep Behaviors. In Proc Ubicomp 2015. ACM press.
[65]J. Frost and B.K. Smith. Visualizing Health: imagery in diabetes education. In Proc. DUX 2003 , ACM press(2013), 1-14.
[66]V. Hollis, A. Konrad, and S. Whittaker. Change of Heart: Emotion Tracking to Promote Behavior Change. In Proc. CHI 2015, ACM press(2015), 2643-2652.
[67]C. C. DiClemente, A. S. Marinilli, B. Singh, and E. Bellino. The Role of Feedback in the Process of Health Behavior Change. American Journal of Health Behavior, 25(3), 2000, 217-227.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top