题名

智慧科技於精神醫療照護之跨域應用

并列篇名

Interdisciplinary Application of Smart Technology in Psychiatric Care

DOI

10.6224/JN.202010_67(5).05

作者

林靜蘭(Esther Ching-Lan LIN);曾鈺晴(Yu-Ching TSENG);陳柏熹(Po See CHEN);吳宗憲(Chung-Hsien WU)

关键词

智慧科技 ; 行動健康應用程式 ; 跨域應用 ; 資通訊科技 ; 雙相情緒障礙症 ; smart technology ; mobile health applications ; interdisciplinary application ; information and communications technology ; bipolar disorders

期刊名称

護理雜誌

卷期/出版年月

67卷5期(2020 / 10 / 01)

页次

26 - 32

内容语文

繁體中文

中文摘要

智慧科技普及化已為全球趨勢,而各國使用智慧型手機的人口大增,形成智慧科技應用於健康照護及行為改變介入方案的獨特優勢。而行動健康(mobile health)服務,能解決及補足傳統醫療服務無法持續而即時追蹤疾病症狀變化的缺點,手機之普及性使行動健康應用程式(mobile health applications)應運而生。行動健康應用程式使用主動與被動的方式蒐集資料並傳遞訊息,目前已有研究相繼證實其應用於評估與偵測疾病、心理衛生介入之可行性與接受度。本文將介紹傳統精神醫學疾病診斷的限制,以及如何跨域應用資通訊科技於發展行動健康之契機,並以雙相情緒障礙症(bipolar disorders)為例,分析當前實證研究應用智慧科技於症狀評估、偵測發病警訊及發展行動健康照護模式的效益及未來展望。未來期待能發展出適用於臺灣健康照護的行動健康應用程式,並建議更多研究投入相關領域,以累積更廣泛及完備的實證證據。

英文摘要

The popularization of smart technology is a global phenomenon. The increasing ubiquity of smartphones offers the potential to apply smart technology in areas such as healthcare and behavioral change interventions. Mobile health services may enhance the effectiveness and resolve the shortcomings of traditional medical services, which cannot continuously and instantly track changes in disease symptoms. The popularity of mobile phones has led to the emergence of mobile health applications. Mobile health applications use active and passive methods to collect data and transmit information. Studies have confirmed the feasibility and acceptance of these applications in assessing and detecting diseases and in mental health interventions. In this article, the limitations of traditional psychiatric medical diagnosis and the opportunity to develop mobile health using information and communication technology are discussed, and related empirical research on using smart technology to evaluate and detect symptoms is explored using the example of bipolar disorders. In addition, the benefits and future prospects of onset alert and the development of healthcare models for action are highlighted. In the future, we look forward to developing mobile health applications that meet the needs of healthcare in Taiwan. Furthermore, we recommend more research and investment in related fields to accumulate more extensive empirical evidence.

主题分类 醫藥衛生 > 預防保健與衛生學
醫藥衛生 > 社會醫學
参考文献
  1. Aschbrenner, K. A.,Naslund, J. A.,Shevenell, M.,Kinney, E.,Bartels, S. J.(2016).A pilot study of a peer-group lifestyle intervention enhanced with mHealth technology and social media for adults with serious mental illness.The Journal of Nervous Mental Disease,204(6),483-486.
  2. Bakker, D.,Kazantzis, N.,Rickwood, D.,Rickard, N.(2016).Mental health smartphone apps: Review and evidence-based recommendations for future developments.JMIR Mental Health,3(1),Article e7.
  3. Barnes, C. W.,Hadzi-Pavlovic, D.,Wilhelm, K.,Mitchell, P. B.(2015).A web-based preventive intervention program for bipolar disorder: Outcome of a 12-months randomized controlled trial.Journal of Affective Disorders,174,485-492.
  4. Ben-Zeev, D.,Davis, K. E.,Kaiser, S.,Krzsos, I.,Drake, R. E.(2013).Mobile technologies among people with serious mental illness: Opportunities for future services.Administration and Policy in Mental Health and Mental Health Services Research,40(4),340-343.
  5. Berry, N.,Lobban, F.,Emsley, R.,Bucci, S.(2016).Acceptability of interventions delivered online and through mobile phones for people who experience severe mental health problems: A systematic review.Journal of Medical Internet Research,18(5),Article e121.
  6. Betton, V.,Borschmann, R.,Docherty, M.,Coleman, S.,Brown, M.,Henderson, C.(2015).The role of social media in reducing stigma and discrimination.The British Journal of Psychiatry,206(6),443-444.
  7. Bilderbeck, A. C.,Atkinson, L. Z.,McMahon, H. C.,Voysey, M.,Simon, J.,Price, J.,Rendell, J.,Hinds, C.,Geddes, J. R.,Holmes, E.,Miklowitz, D. J.,Goodwin, G. M.(2016).Psychoeducation and online mood tracking for patients with bipolar disorder: A randomised controlled trial.Journal of Affective Disorders,205,245-251.
  8. Depp, C. A.,Ceglowski, J.,Wang, V. C.,Yaghouti, F.,Mausbach, B. T.,Thompson, W. K.,Granholm, E. L.(2015).Augmenting psychoeducation with a mobile intervention for bipolar disorder: A randomized controlled trial.Journal of Affective Disorders,174,23-30.
  9. Depp, C. A.,Moore, R. C.,Perivoliotis, D.,Granholm, E.(2016).Technology to assess and support self-management in serious mental illness.Dialogues in Clinical Neuroscience,18(2),171-183.
  10. Depp, C.,Torous, J.,Thompson, W.(2016).Technology-based early warning systems for bipolar disorder: A conceptual framework.JMIR Mental Health,3(3),Article e42.
  11. Dogan, E.,Sander, C.,Wagner, X.,Hegerl, U.,Kohls, E.(2017).Smartphone-based monitoring of objective and subjective data in affective disorders: Where are we and where are we going? Systematic review.Journal of Medical Internet Research,19(7),Article e262.
  12. Donker, T.,Petrie, K.,Proudfoot, J.,Clarke, J.,Birch, M.-R.,Christensen, H.(2013).Smartphones for smarter delivery of mental health programs: A systematic review.Journal of Medical Internet Research,15(11),Article e247.
  13. Faurholt-Jepsen, M.,Vinberg, M.,Frost, M.,Christensen, E. M.,Bardram, J. E.,Kessing, L. V.(2015).Smartphone data as an electronic biomarker of illness activity in bipolar disorder.Bipolar Disorders,17(7),715-728.
  14. Firth, J.,Cotter, J.,Torous, J.,Bucci, S.,Firth, J. A.,Yung, A. R.(2015).Mobile phone ownership and endorsement of "mHealth" among people with psychosis: A meta-analysis of cross-sectional studies.Schizophrenia Bulletin,42(2),448-455.
  15. Grünerbl, A.,Muaremi, A.,Osmani, V.,Bahle, G.,Öhler, S.,Tröster, G.,Mayora, O.,Haring, C.,Lukowicz, P.(2014).Smartphone-based recognition of states and state changes in bipolar disorder patients.IEEE Journal of Biomedical Health Informatics,19(1),140-148.
  16. Heffernan, K. J.,Chang, S.,Maclean, S. T.,Callegari, E. T.,Garland, S. M.,Reavley, N. J.,Varigos, G. A.,Wark, J. D.(2016).Guidelines and recommendations for developing interactive eHealth apps for complex messaging in health promotion.JMIR mHealth and uHealth,4(1),Article e14.
  17. Hidalgo-Mazzei, D.,Mateu, A.,Reinares, M.,Murru, A.,del Mar Bonnín, C.,Varo, C.,Valentí, M.,Undurraga, J.,Strejilevich, S.,Sánchez-Moreno, J.,Vieta, E.,Colom, F.(2016).Psychoeducation in bipolar disorder with a SIMPLe smartphone application: Feasibility, acceptability and satisfaction.Journal of Affective Disorders,200,58-66.
  18. Insel, T. R.(2017).Digital phenotyping: Technology for a new science of behavior.JAMA,318(13),1215-1216.
  19. Jain, S. H.,Powers, B. W.,Hawkins, J. B.,Brownstein, J. S.(2015).The digital phenotype.Nature Biotechnology,33(5),462-463.
  20. Lauder, S.,Chester, A.,Castle, D.,Dodd, S.,Gliddon, E.,Berk, L.,Chamberlain, J.,Klein, B.,Gilbert, M.,Austin, D. W.,Berk, M.(2015).A randomized head to head trial of MoodSwings.net.au: An Internet based self-help program for bipolar disorder.Journal of Affective Disorders,171,13-21.
  21. Lee, D.,Lee, H.,Choi, M.(2016).Examining the relationship between past orientation and US suicide rates: An analysis using big data-driven Google search queries.Journal of Medical Internet Research,18(2),Article e35.
  22. Lobban, F.,Dodd, A. L.,Sawczuk, A. P.,Asar, O.,Dagnan, D.,Diggle, P. J.,Griffiths, M.,Honary, M.,Knowles, D.,Long, R.,Morriss, R.,Parker, R.,Jones, S.(2017).Assessing feasibility and acceptability of web-based enhanced relapse prevention for bipolar disorder (ERPonline): A randomized controlled trial.Journal of Medical Internet Research,19(3),Article e85.
  23. Miklowitz, D. J.,Otto, M. W.,Frank, E.,Reilly-Harrington, N. A.,Wisniewski, S. R.,Kogan, J. N.,Nierenberg, A. A.,Calabrese, J. R.,Marangell, L. B.,Gyulai, L.,Araga, M.,Gonzalez, J. M.,Shirley, E. R.,Thase, M. E.,Sachs, G. S.(2007).Psychosocial treatments for bipolar depression: A 1-year randomized trial from the Systematic Treatment Enhancement Program.Archives of General Psychiatry,64(4),419-426.
  24. Newman, N., Fletcher, R., Kalogeropoulos, A., & Rasmus, K. N. (2019, June 12). Reuters Institute Digital News Report 2019. https://ssrn.com/abstract=3414941
  25. Shou, H.,Cui, L.,Hickie, I.,Lameira, D.,Lamers, F.,Zhang, J.,Crainiceanu, C.,Zipunnikov, V.,Merikangas, K. R.(2017).Dysregulation of objectively assessed 24-hour motor activity patterns as a potential marker for bipolar I disorder: Results of a community-based family study.Translational Psychiatry,7(8),Article e1211.
  26. Todd, N. J.,Jones, S. H.,Hart, A.,Lobban, F. A.(2014).A web-based self-management intervention for bipolar disorder ‘living with bipolar’: A feasibility randomised controlled trial.Journal of Affective Disorders,169,21-29.
  27. Wang, K.,Varma, D. S.,Prosperi, M.(2018).A systematic review of the effectiveness of mobile apps for monitoring and management of mental health symptoms or disorders.Journal of Psychiatric Research,107,73-78.
  28. World Health Organization. (2005). Fifty-eighth World Health Assembly, Geneva, 16-25 May 2005: Resolutions and decisions: Annex. https://apps.who.int/iris/handle/10665/20398
  29. 李友專, Y.-C.(2017)。,未出版
  30. 國家發展委員會(2018,9月).107年持有手機民眾數位機會調查報告。https://bit.ly/2YOlZ4h [National Development Council. (2018, September). 2018 digital opportunity survey of mobile phone users. https://bit.ly/2YOlZ4h]
  31. 國家發展委員會(2015,4月).網路智慧新臺灣政策白皮書。https://bit.ly/2ZNYVjC [National Development Council. (2015, April). ide@ Taiwan 2020. https://bit.ly/2ZNYVjC]
  32. 謝佳諠(2019,10月2日).智慧科技決勝點.管理知識中心。https://mymkc.com/article/content/23227 [Hsieh, C.-H. (2019, October 2). Winning advantages of smart technology. my Management Knowledge Center. https://mymkc.com/article/content/23227]
被引用次数
  1. 簡莉盈,劉影梅,胡雅玲,周承珍(2023)。以計畫理論為基礎的孕期體重管理行動健康應用程式之發展。領導護理,24(1),22-34。
  2. 蘇國瑋,孫天龍,邱伯智,李碧娥(2022)。永續性教育於智慧健康照護系統開發之探討。護理雜誌,69(2),25-31。