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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102059
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor楊雅玲zh_TW
dc.contributor.advisorYA-LING YANGen
dc.contributor.author李姿穎zh_TW
dc.contributor.authorTzu-Ying Leeen
dc.date.accessioned2026-03-12T16:17:25Z-
dc.date.available2026-03-13-
dc.date.copyright2026-03-12-
dc.date.issued2026-
dc.date.submitted2026-02-02-
dc.identifier.citation社團法人台灣發炎性腸道疾病學會、社團法人台灣腸治久安協會. (2020). 發炎性腸道疾病病友手冊 (成人版). 社團法人台灣發炎性腸道疾病學會、社團法人台灣腸治久安協會.
高綺吟, 胡文郁, 楊志新, 王新芳, & 俞玉潔. (2015). 臨床研究護理師對臨床試驗之認知與工作概況 [Clinical Research Nurses' Knowledge and Practice in Clinical Trials]. 台灣醫學, 19(2), 117–124. https://doi.org/10.6320/fjm.2015.19(2).02
國家通訊傳播委員會. (2024). 113年通訊傳播市場報告.
楊雅雯. (2020). 成人潰瘍性結腸炎治療概論. 嘉基藥訊(150), 6–8.
Abutaleb, A., Buchwald, A., Chudy-Onwugaje, K., Langenberg, P., Regueiro, M., Schwartz, D. A., Tracy, J. K., Ghazi, L., Patil, S. A., Quezada, S. M., Russman, K. M., Quinn, C. C., Jambaulikar, G., Beaulieu, D. B., Horst, S., & Cross, R. K. (2018). Inflammatory Bowel Disease Telemedicine Clinical Trial: Impact of Educational Text Messages on Disease-Specific Knowledge Over 1 Year. Inflammatory bowel diseases, 24(10), 2191–2197. https://doi.org/10.1093/ibd/izy149
Barberio, B., Zamani, M., Black, C. J., Savarino, E. V., & Ford, A. C. (2021). Prevalence of symptoms of anxiety and depression in patients with inflammatory bowel disease: a systematic review and meta-analysis. The Lancet Gastroenterology & Hepatology, 6(5), 359–370. https://doi.org/10.1016/S2468-1253(21)00014-5
Ben-Horin, S., & Chowers, Y. (2011). Review article: loss of response to anti-TNF treatments in Crohn’s disease. Alimentary Pharmacology & Therapeutics, 33(9), 987–995. https://doi.org/10.1111/j.1365-2036.2011.04612.x
Black, J., Sweeney, L., Yuan, Y., Singh, H., Norton, C., & Czuber-Dochan, W. (2022). Systematic review: the role of psychological stress in inflammatory bowel disease. Alimentary Pharmacology & Therapeutics, 56(8), 1235–1249. https://doi.org/10.1111/apt.17202
Buie, M. J., Quan, J., Windsor, J. W., Coward, S., Hansen, T. M., King, J. A., Kotze, P. G., Gearry, R. B., Ng, S. C., Mak, J. W. Y., Abreu, M. T., Rubin, D. T., Bernstein, C. N., Banerjee, R., Yamamoto-Furusho, J. K., Panaccione, R., Seow, C. H., Ma, C., Underwood, F. E.,…Li, M. (2023). Global Hospitalization Trends for Crohn's Disease and Ulcerative Colitis in the 21st Century: A Systematic Review With Temporal Analyses. Clin Gastroenterol Hepatol, 21(9), 2211–2221. https://doi.org/10.1016/j.cgh.2022.06.030
Greuter, T., Rieder, F., Kucharzik, T., Peyrin-Biroulet, L., Schoepfer, A. M., Rubin, D. T., & Vavricka, S. R. (2021). Emerging treatment options for extraintestinal manifestations in IBD. Gut, 70(4), 796–802. https://doi.org/10.1136/gutjnl-2020-322129
Higashiyama, M., & Hokari, R. (2022). New and Emerging Treatments for Inflammatory Bowel Disease. Digestion, 104(1), 74–81. https://doi.org/10.1159/000527422
Hindelang, M., Sitaru, S., & Zink, A. (2024). Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review. JMIR Med Inform, 12, e56628. https://doi.org/10.2196/56628
Hsieh, M. S., Hsu, W. H., Wang, J. W., Wang, Y. K., Hu, H. M., Chang, W. K., Chen, C. Y., Wu, D. C., Kuo, F. C., & Su, W. W. (2020). Nutritional and dietary strategy in the clinical care of inflammatory bowel disease. J Formos Med Assoc, 119(12), 1742–1749. https://doi.org/10.1016/j.jfma.2019.09.005
Hua, Y., Siddals, S., Ma, Z., Galatzer-Levy, I., Xia, W., Hau, C., Na, H., Flathers, M., Linardon, J., Ayubcha, C., & Torous, J. (2025). Charting the evolution of artificial intelligence mental health chatbots from rule-based systems to large language models: a systematic review. World Psychiatry, 24(3), 383–394. https://doi.org/10.1002/wps.21352
Kandi, V., & Vadakedath, S. (2023). Clinical Trials and Clinical Research: A Comprehensive Review. Cureus, 15(2), e35077. https://doi.org/10.7759/cureus.35077
Karadag, P., Morris, B., & Woolfall, K. (2022). The information and support needs of patients living with inflammatory bowel disease: A qualitative study. Chronic Illn, 18(2), 356–369. https://doi.org/10.1177/1742395320968617
Kurniawan, M. H., Handiyani, H., Nuraini, T., Hariyati, R. T. S., & Sutrisno, S. (2024). A systematic review of artificial intelligence-powered (AI-powered) chatbot intervention for managing chronic illness. Ann Med, 56(1), 2302980. https://doi.org/10.1080/07853890.2024.2302980
LINE. LINE官方帳號功能導覽. https://tw.linebiz.com/manual/line-official-account/oa-function-intro/
Ng, S. C., Shi, H. Y., Hamidi, N., Underwood, F. E., Tang, W., Benchimol, E. I., Panaccione, R., Ghosh, S., Wu, J. C. Y., Chan, F. K. L., Sung, J. J. Y., & Kaplan, G. G. (2017). Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies. The Lancet, 390(10114), 2769–2778. https://doi.org/10.1016/S0140-6736(17)32448-0
Pernencar, C., Saboia, I., & Dias, J. C. (2022). How Far Can Conversational Agents Contribute to IBD Patient Health Care-A Review of the Literature. Front Public Health, 10, 862432. https://doi.org/10.3389/fpubh.2022.862432
Roda, G., Jharap, B., Neeraj, N., & Colombel, J.-F. (2016). Loss of Response to Anti-TNFs: Definition, Epidemiology, and Management. Clinical and Translational Gastroenterology, 7(1), e135. https://doi.org/10.1038/ctg.2015.63
Sheehan, J. L., Greene-Higgs, L., Swanson, L., Higgins, P. D. R., Krein, S. L., Waljee, A. K., Saini, S. D., Berinstein, J. A., Mellinger, J. L., Piette, J. D., Resnicow, K., & Cohen-Mekelburg, S. (2023). Self-Efficacy and the Impact of Inflammatory Bowel Disease on Patients' Daily Lives. Clin Transl Gastroenterol, 14(6), e00577. https://doi.org/10.14309/ctg.0000000000000577
Shippee, N. D., Shah, N. D., May, C. R., Mair, F. S., & Montori, V. M. (2012). Cumulative complexity: a functional, patient-centered model of patient complexity can improve research and practice. J Clin Epidemiol, 65(10), 1041–1051. https://doi.org/10.1016/j.jclinepi.2012.05.005
Solitano, V., Prins, H., Archer, M., Guizzetti, L., & Jairath, V. (2024). Toward Patient Centricity: Why Do Patients With Inflammatory Bowel Disease Participate in Pharmaceutical Clinical Trials? A Mixed-Methods Exploration of Study Participants. Crohn's & Colitis 360, 6(2). https://doi.org/10.1093/crocol/otae019
Su, H. J., Chiu, Y. T., Chiu, C. T., Lin, Y. C., Wang, C. Y., Hsieh, J. Y., & Wei, S. C. (2019). Inflammatory bowel disease and its treatment in 2018: Global and Taiwanese status updates. J Formos Med Assoc, 118(7), 1083–1092. https://doi.org/10.1016/j.jfma.2018.07.005
Uzzan, M., Bouhnik, Y., Abreu, M., Ahmad, H. A., Adsul, S., Carlier, H., Dubinsky, M., Germinaro, M., Jairath, V., Modesto, I., Mortensen, E., Narula, N., Neimark, E., Oortwijn, A., Protic, M., Rubin, D. T., Oh, Y. S., Wichary, J., Peyrin-Biroulet, L., & Reinisch, W. (2023). Declining Enrolment and Other Challenges in IBD Clinical Trials: Causes and Potential Solutions. J Crohns Colitis, 17(7), 1066–1078. https://doi.org/10.1093/ecco-jcc/jjad020
Xu, L., Sanders, L., Li, K., & Chow, J. C. L. (2021). Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review. JMIR Cancer, 7(4), e27850. https://doi.org/10.2196/27850
Yen, H. H., Hsu, T. C., Chen, M. W., Su, P. Y., & Chen, Y. Y. (2021). Clinical features and treatment of inflammatory bowel disease in a low-incidence area: A hospital-based retrospective cohort study in Taiwan. Medicine (Baltimore), 100(10), e25090. https://doi.org/10.1097/md.0000000000025090
Yen, H. H., Weng, M. T., Tung, C. C., Wang, Y. T., Chang, Y. T., Chang, C. H., Shieh, M. J., Wong, J. M., & Wei, S. C. (2019). Epidemiological trend in inflammatory bowel disease in Taiwan from 2001 to 2015: a nationwide populationbased study. Intest Res, 17(1), 54–62. https://doi.org/10.5217/ir.2018.00096
Zand, A., Sharma, A., Stokes, Z., Reynolds, C., Montilla, A., Sauk, J., & Hommes, D. (2020). An Exploration Into the Use of a Chatbot for Patients With Inflammatory Bowel Diseases: Retrospective Cohort Study. J Med Internet Res, 22(5), e15589. https://doi.org/10.2196/15589
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102059-
dc.description.abstract背景與目的: 發炎性腸道疾病(IBD)為一種慢性且具複雜性的腸道疾病,病患常因對疾病知識的缺乏及病況的不確定性,面臨高度的焦慮與憂鬱風險。隨著數位醫療發展,衛教機器人已成為提供即時衛教與心理支持的新型態工具。本研究主要探討運用LINE官方帳號建置之規則型(Rule-based)衛教機器人,對於提升IBD病患疾病認知及改善焦慮、憂鬱之成效。
方法: 本研究採單組前後測之類實驗設計,以方便取樣招募 39 位 IBD 病患為研究對象。介入措施為期四週的數位衛教機器人互動,內容涵蓋疾病知識、飲食指導、藥物衛教及心理支持資源。研究工具包括「基本屬性與臨床特徵資料」、「疾病知識評估問卷」、「醫院焦慮與憂鬱量表(HADS)」及「衛教機器人滿意度調查」。資料以描述性統計及無母數檢定進行分析。
結果: 研究結果發現,受試者在介入後之「疾病認知」總分由前測 9.00 分提升至 9.31 分,達統計顯著差異(p < .05),特別在飲食原則與檢查目的之認知提升最為顯著;惟涉及複雜藥理之類固醇知識則無顯著改變。在心理層面,焦慮與憂鬱總分雖呈改善趨勢但未達統計顯著,然進一步分析發現,介入前「不知道臨床試驗」或「焦慮較高」之病患群體,在介入後改善幅度較佳,表示衛教機器人具備賦能(Empowerment)與資訊支持之效益。此外,受試者對衛教機器人之整體滿意度高達37.641分(滿分 50 分),尤以「圖文淺顯易懂」獲得最高評價。
結論: 本研究證實規則型衛教機器人能有效提升 IBD 病患的疾病認知,並具備高接受度與便利性。雖短期介入對降低整體焦慮憂鬱分數之效果有限,但對於資訊需求較高之初診斷或高焦慮病患,仍具顯著的心理支持潛力。建議未來臨床實務可將此衛教機器人納入常規照護,作為門診衛教之延伸輔助,以強化病患的自我照護能力。
zh_TW
dc.description.abstractBackground and Objectives: Inflammatory Bowel Disease (IBD) is a chronic and complex intestinal condition. Patients often face high risks of anxiety and depression due to a lack of disease knowledge and uncertainty regarding the disease course. With the advancement of digital health, chatbots have emerged as novel tools for providing immediate health education and psychological support. This study aimed to evaluate the effectiveness of a rule-based health education chatbot, built on the official LINE account platform, in enhancing disease knowledge and alleviating anxiety and depression among IBD patients.
Methods: A single-group pretest-posttest quasi-experimental design was employed. Thirty-nine patients with IBD were recruited via purposive sampling. The intervention involved a four-week interaction with the digital health education chatbot, covering disease knowledge, dietary guidelines, medication education, and psychological support resources. Research instruments included a Demographic and Clinical Characteristic Questionnaire, an IBD Disease Knowledge Scale, the Hospital Anxiety and Depression Scale (HADS), and a Chatbot Satisfaction Survey. Data were analyzed using descriptive statistics and non-parametric tests.
Results: The results indicated a significant improvement in overall disease knowledge scores, increasing from 9.00 to 9.31 post-intervention (p < .05). Improvements were most notable in the understanding of dietary principles and examination purposes; however, knowledge regarding complex medications (e.g., steroids) showed no significant change. Regarding psychological outcomes, while total scores for anxiety and depression showed improving trends, they did not reach statistical significance. However, subgroup analysis revealed that patients who initially lacked knowledge of clinical trials or had higher baseline anxiety demonstrated greater improvement, suggesting the empowerment and informational support benefits of the digital tool. Furthermore, the overall satisfaction score was high (Mean =37.641/50), with "easy-to-understand graphics and text" receiving the highest rating.
Conclusion: This study confirms that a rule-based health education chatbot effectively enhances disease knowledge among IBD patients and demonstrates high user acceptance and convenience. Although the short-term intervention showed limited effects on reducing overall anxiety and depression scores, it holds significant potential for providing psychological support to newly diagnosed or highly anxious patients with high information needs. It is recommended that future clinical practice incorporate this chatbot into routine care as an extension of outpatient health education to strengthen patients' self-care capabilities.
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dc.description.tableofcontents目次
口試委員會審定書 i
謝辭 ii
摘要 iv
Abstract v
目次 vii
圖次 ix
表次 x
第一章 緒論 1
第一節 研究背景 1
第二章 文獻探討 3
第一節 發炎性腸道疾病的流行病學與治療現況 3
第二節 發炎性腸道疾病病患之症狀困擾與焦慮憂鬱的傾向 4
第三節 臨床試驗與研究護理師角色功能 6
第四節 IBD衛教現況與挑戰 7
第五節 聊天機器人在醫療衛教上的相關應用 8
第三章 研究目的與問題 10
第一節 研究目的 10
第二節 名詞定義 12
第四章 研究方法 13
第一節 研究設計 13
第二節 研究場所與對象 14
第三節 研究介入措施 15
第四節 研究工具 18
第五節 資料收集過程 20
第六節 研究倫理 22
第七節 統計分析 23
第五章 研究結果 25
第一節 研究對象基本屬性、臨床疾病特徵特性及身心狀況 25
第二節 研究對象介入前之疾病認知與焦慮憂鬱現況 28
第三節 研究對象介入後之疾病認知與焦慮憂鬱現況 32
第四節 介入成效差異的影響因素分析 38
第五節 衛教介入滿意度分析 45
第六章 討論與結論 48
第一節 研究發現摘要 48
第二節 討論 49
第三節 研究限制 52
第四節 臨床照護建議 54
第五節 結論 55
參考文獻 57
附錄 62
附錄一 賴裕和教授中文版醫院焦慮憂鬱量表HADS授權書 62
附錄二 亞東紀念醫院人體試驗審議委員會許可書 63
附錄三 研究前測問卷內容 65
附錄四 研究後測問卷內容 71
附錄五 衛教機器人畫面 75
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dc.language.isozh_TW-
dc.subject發炎性腸道疾病-
dc.subject衛教機器人-
dc.subject衛生教育-
dc.subject疾病認知-
dc.subject焦慮-
dc.subject憂鬱-
dc.subjectInflammatory Bowel Disease (IBD)-
dc.subjectChatbot-
dc.subjectHealth Education-
dc.subjectDisease Knowledge-
dc.subjectAnxiety-
dc.subjectDepression-
dc.title探討衛教機器人介入對發炎性腸道疾病病患在疾病認知與焦慮憂鬱的成效zh_TW
dc.titleEffectiveness of a Health Education Chatbot Intervention on Disease Knowledge, Anxiety, and Depression in Patients with Inflammatory Bowel Diseaseen
dc.typeThesis-
dc.date.schoolyear114-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee張榮珍;李宗熙zh_TW
dc.contributor.oralexamcommitteeJUNG-CHEN CHANG;TZONG-HSI LEEen
dc.subject.keyword發炎性腸道疾病,衛教機器人衛生教育疾病認知焦慮憂鬱zh_TW
dc.subject.keywordInflammatory Bowel Disease (IBD),ChatbotHealth EducationDisease KnowledgeAnxietyDepressionen
dc.relation.page82-
dc.identifier.doi10.6342/NTU202600485-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2026-02-02-
dc.contributor.author-college醫學院-
dc.contributor.author-dept護理學研究所-
dc.date.embargo-lift2029-01-14-
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