跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.110) 您好!臺灣時間:2025/09/29 01:10
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

: 
twitterline
研究生:沈雯琦
研究生(外文):SHEN, WEN-CHI
論文名稱:引導式想像對肺癌手術後病患疼痛、焦慮及心率變異之成效探討
論文名稱(外文):The Effect Of Guided Imagery For Pain, Anxiety And Heart Rate Variability In Patients With Postoperative Of Lung Cancer
指導教授:章美英章美英引用關係
指導教授(外文):CHANG, MEI-YING
口試委員:郭博昭陳筱瑀
口試委員(外文):KUO, BO-JHAOCHEN, HSIAO-YU
口試日期:2019-06-21
學位類別:碩士
校院名稱:國立臺北護理健康大學
系所名稱:中西醫結合護理研究所
學門:醫藥衛生學門
學類:護理學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:中文
論文頁數:66
中文關鍵詞:引導式想像疼痛焦慮心率變異
外文關鍵詞:Guided Imagery, ,,PainAnxietyHeart Rate Variability
相關次數:
  • 被引用被引用:0
  • 點閱點閱:198
  • 評分評分:
  • 下載下載:8
  • 收藏至我的研究室書目清單書目收藏:0
肺癌為全球死因第六名,為台灣十大死因之首,手術是早期肺癌最佳治療方式,80%病患於手術後24小時內有中度到重度的疼痛經驗,40%出現焦慮症狀,導致自主神經產生變化。
本研究旨在探討引導式想像介入後對肺癌手術後病患疼痛、焦慮及心率變異度之成效,採類實驗研究設計,以宜蘭縣某醫院外科加護病房60位肺癌術後病患為對象,以隨機分配至實驗組及對照組各30位。在不影響術後之治療及護理,採彈性的介入時間,實驗組於術後1小時、術後3.5小時、術後16小時及術後23.5小時,各給予1次引導式想像錄音檔案20分鐘,而對照組為術後常規護理。於手術前一天進行焦慮及心律變異度之前測,入住加護病房意識清醒後予疼痛評估之前測,術後4小時進行中測及術後24小時進行後測,以疼痛數字等級量表(Numerical Rating Scale, NRS)、情境焦慮量表(State Trait Anxiety Inventory, STAI-S)評估疼痛及焦慮並以心率變異分析儀(Heart rate variability, HRV)分析心律間期標準差(standard deviation of all normal to normal intervals, SDNN)、高頻功率(high frequency power, HF)、低高頻功率比(low frequency power/high frequency ratio, LF/HF ratio),評估自主神經生理變化。
研究結果以廣義估計方程式(Generalized estimating equation, GEE)進行統計分析,研究結果為實驗組於術後4小時之疼痛程度、焦慮程度、LF/HF Ratio皆比對照組低;術後24小時之疼痛程度、焦慮程度、LF/HF Ratio皆比對照組低,HF比對照組高,均達顯著差異(p<0.001)。
引導式想像為簡單不具侵入性之護理措施,不僅可減少肺癌手術後病患之疼痛及焦慮,亦可提升副交感神經活性,改善交感與副交感神經的平衡,此研究結果可作為手術後減輕疼痛及焦慮之護理措施。

Lung cancer ranks 6th among the global causes of death, while ranks first in Taiwan. Surgery is the best treatment for early-stage lung cancer. 80% of patients experience moderate to severe pain within 24 hours after surgery, and 40% of patients show the anxiety symptom, leading to autonomic nervous system changes.
The purpose of this study is to explore the effect of guided imagery for pain, anxiety, and heart rate variability on postoperative lung cancer patients. The quasi-experimental research design was adopted, with 60 postoperative lung cancer patients from the surgical intensive care unit of a hospital in Yilan County as research participants. Through random distribution, 30 patients each were distributed to the experimental group and the control group. Provided that patient treatment was not affected and no additional workload was imposed on the nursing personnel, flexible intervention time was adopted. For the experimental group, a 20 minute audio guided imagery was administered an hour, 3.5 hours, 16 hours, and 23.5 hours after surgery respectively; for the control group, postoperative routine nursing care was administered. An anxiety and heart rate variability pretest was carried out one day before surgery; a pain assessment pretest was carried out after admission into the intensive care unit and being conscious; an intermediate test was carried out 4 hours after surgery; and a posttest was carried out 24 hours after surgery. The Numerical Rating Scale, NRS for pain and the State Trait Anxiety Inventory, STAI-S were used for evaluating pain and anxiety; the Heart Rate Variability, HRV was used to analyze standard deviation of all normal to normal intervals, SDNN; high frequency power, HF; and low frequency power/high frequency ratio, LF/HF ratio, to evaluate the physiological changes of the autonomic nervous system.

The results were using Generalized Estimating Equation, GEE for statistical analysis. The research results show that for the experimental group, the degree of pain, the degree of anxiety, and the LF/HF Ratio 4 hours after surgery were all lower compared to that of the control group; the degree of pain, the degree of anxiety, and the LF/HF Ratio 24 hours after surgery were also lower compared to that of the control group; the HF was higher than that of the control group, all reaching significant differences (p<0.001).
The guided imagery is a simple and non-invasive nursing care measure that not only reduces the pain and anxiety of postoperative lung cancer patients, but also enhances the activity of the parasympathetic nerves and improves the balance between sympathetic and parasympathetic nerves. The research results shall serve as postoperative nursing care measures for alleviating pain and anxiety.

中文摘要-----------------------------------------------------------------i
英文摘要-----------------------------------------------------------------ii
目次---------------------------------------------------------------------iv
表次---------------------------------------------------------------------ⅵ
圖次---------------------------------------------------------------------ⅶ

第壹章 緒論
第一節 研究背景與動機----------------------------------------------------1
第二節 研究目的----------------------------------------------------------3
第三節 研究問題----------------------------------------------------------3
第四節 研究假設----------------------------------------------------------3
第五節 名詞界定----------------------------------------------------------4
第六節 研究架構----------------------------------------------------------6

第貳章 文獻探討
第一節 肺癌手術病患疼痛與焦慮--------------------------------------------7
第二節 疼痛及焦慮與心率變異度相關研究-------------------------------------11
第三節 引導式想像介紹與疼痛與焦慮相關研究---------------------------------14
第四節 引導式想像與心率變異度相關研究-------------------------------------17

第叁章 研究方法
第一節 研究設計---------------------------------------------------------18
第二節 研究對象及樣本計數------------------------------------------------20
第三節 研究工具與測量方法------------------------------------------------21
第四節 介入措施---------------------------------------------------------24
第五節 研究倫理考量-----------------------------------------------------26
第六節 資料處理及分析---------------------------------------------------27

第肆章 研究結果
第一節 研究對象人口學之基本屬性-----------------------------------------28
第二節 引導式想像對於肺癌術後病患疼痛之影響------------------------------30
第三節 引導式想像對於肺癌術後病患焦慮之影響------------------------------32
第四節 引導式想像對於肺癌術後病患心率變異度之影響------------------------34

第伍章 討論
第一節 引導式想像對於肺癌手術後病患疼痛之影響----------------------------39
第二節 引導式想像對於肺癌手術後病患焦慮之影響----------------------------40
第三節 引導式想像對於肺癌手術後病患心率變異度成效之影響-------------------41

第陸章 結論與建議
第一節 結論------------------------------------------------------------43
第二節 研究限制--------------------------------------------------------44
第三節 建議------------------------------------------------------------45

參考文獻
中文部分-----------------------------------------------------------------46
外文部分-----------------------------------------------------------------48

附錄
附錄一 引導式想像教案---------------------------------------------------57
附錄二 引導式想像對疼痛與焦慮的相關研究文獻整理---------------------------61
附錄三 國立陽明大學附設醫院人體試驗委員會研究證明書-----------------------64
附錄四 國立陽明大學附設醫院人體試驗委員會研究計畫結案證明-----------------65
附錄五 中文版情境、特質焦慮量表之授權書----------------------------------66


表 次
表3-1研究設計模式-------------------------------------------------------19
表4-1研究對象人口學基本屬性統計分析--------------------------------------29
表4-2引導式想像介入前中後對肺癌術後病患NRS量表之 t 檢定-------------------30
表4-3 GEE分析引導式想像介入前中後對肺癌術後病患疼痛之影響-----------------31
表4-4引導式想像介入前中後對肺癌術後病人STAI-S量表之 t 檢定----------------32
表4-5 GEE分析引導式想像介入後對肺癌術後病人焦慮之影響---------------------33
表4-6 引導式想像介入前中後心率變異度之 t 檢定----------------------------35
表4-7 GEE分析引導式想像介入後對肺癌術後病人心率變異度之影響---------------38

圖 次
圖3-1收案流程圖--------------------------------------------------------25
圖4-1引導式想像介入前中後對肺癌手術後病人NRS量表平均值折線圖--------------30
圖4-2引導式想像介入前中後對肺癌手術後病人STAI-S 量表平均值折線圖----------32
圖4-3引導式想像介入前中後對肺癌手術後病人SDNN 平均值折線圖----------------36
圖4-4引導式想像介入前中後對肺癌手術後病人HF 平均值折線圖------------------36
圖4-5引導式想像介入前中後對肺癌手術後病人LH/HF ratio 平均值折線圖---------36
中文部分
王秉彥、吳玉琮(2016).肺癌的微創手術治療.臨床醫學月刊,78(5),286-
288。[Wang, B.Y. & Wu, Y.C. (2016) . Minimally invasive surgery for lung cancer.
Clinical Medicine, 78(5), 286-288.] DOI:10.6666/ClinMed.2016.78.5.022
國家衛生研究院、台灣護理學會(2009).手術後疼痛臨床照護指引.
取自imohw.tmu.edu.tw/idohtmu/wp/04/13手術後臨床疼痛照護指引.pdf
[National Health Research Institutes & Taiwan Nurses Association. (2009).
Clinical practice guideline: Nursing care of postoperative pain. Taipei, Taiwan,
ROC: Taiwan Nurses Association]
世界衛生組織(2018年,5月24日).前十位死亡原因.取自
https://www.who.int/zh/news-room/fact-sheets/detail/the-top-10-causes-of-death
[World Health Organization. (2018, May 24). The top 10 causes of death.
Retrieved from https://www.who.int/zh/news-room/fact-sheets/detail/the-top-10-
causes-of-death]
曾令儀、李引玉(1999).放鬆治療在護理上的應用.護理雜誌,46(5),
68-74。[Tseng, L. I. & Lee, Y. Y. (1999). The Application of Relaxation Therapy in Nrusing, The Journal of Nursing,46(5),68-74.]DOI:10.6224/JN.46.5.68
高紀惠(2006).NANDA護理診斷手冊 2005-2006.台北:華杏。[Kao, C. H. (2006).
NANDA-I nursing diagnoses: Definitions & classification 2005~2006. Taipei City,Taiwan, ROC: Farseeing]
張乃文、李采淇、李雅欣、王桂芸(2017).接受切除性肺部手術後肺癌病患疲憊之影響及其臨床處置.長庚護理,28(1),25-33。[Chang, N. W., Li, C. C., Li, Y. H., & Wang, K. Y. (2017). The Influential Factors and Clinical Management of Fatigue in Lung-Cancer Patients Receiving Resectional Pulmonary Surgery, Chang Gung Nursing, 28(1), 25-33.]DOI:10.3966/102673012017032801003
葉雅惠、江慧玲、林麗英、許凰珠(2010).多媒體光碟於脊椎手術病人術前焦慮之成效.護理暨健康照護研究,6(4),299-307。[Yah, Y.H., Chiang, H. L., Lin, L. Y., Hsu, H.C. (2010). Efficacy of Using Multimedia Videos to Reduce Preoperative Anxiety in Patients Scheduled for Spinal Surgery, Journal of Nursing and Healthcare Research, 6(4), 299-307.] DOI:10.6225/JNHR.6.4.299
衛生福利部統計處(2019年,06月21日).107年死因統計結果.
取自https://dep.mohw.gov.tw/DOS/lp-4472-113.html [Department of Statistics,
Ministry of Health and Welfare, Taiwan, ROC. (2019, June 21). 2018 cause of
death statistics. Retrieved from https://dep.mohw.gov.tw/DOS/lp-4472-113.html]
蔡曉婷、周汎澔(2012).多媒體護理指導緩解冠狀動脈成形術後心肌梗塞病患焦慮及疾病不確定感之成效.護理雜誌,59(4),43-53。[Tsai, S. T., Chou, F. H. (2012). The Effectiveness of Multimedia Nursing Education on Reducing Illness-Related Anxiety and Uncertainty in Myocardial Infarction Patients after Percutaneous Coronary Intervention, The Journal of Nursing, 59(4), 43-53.]DOI:10.6224/JN.59.4.43
鍾思嘉、龍長風(1984).修訂情境與特質量表之研究.中國測驗學會測驗年刊,31,27-36。[Chung, S. K., & Lu, C. F. (1984). A study of the revised State-Trait Anxiety inventory. Chinese Association of Psychological Testing, 31, 27-36 .]


外文部分
Abhishekh, H. A., Nisarga, P., Kisan, R., Meghana, A., Chandran, S., Trichur, R., & Sathyaprabha, T. N. (2013). Influence of age and gender on autonomic regulation of heart. Journal of Clinical Monitoring and Computing, 27(3), 259-264. doi:10.1007/s10877-012-9424-3
Almeida-Santos, M. A., Barreto-Filho, J. A., Oliveira, J. L., Reis, F. P., da Cunha Oliveira, C. C., & Sousa, A. C. (2016). Aging, heart rate variability and patterns of autonomic regulation of the heart. Archives of Gerontology and Geriatrics, 63, 1-8. doi:10.1016/j.archger.2015.11.011
American Cancer Society(2013). Cancer facts and figures 2013. Atlanta: American Cancer Society.
Andreetti, C., Menna, C., Ibrahim, M., Ciccone, A. M., D'Andrilli, A., Venuta, F., & Rendina, E. A. (2014). Postoperative pain control: videothoracoscopic versus conservative mini-thoracotomic approach. European Journal of Cardio-Thoracic Surgery, 46(5), 907-912. doi:10.1093/ejcts/ezu092
Billman, G. E. (2013). The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Frontiers in Physiology, 4, 26. doi:10.3389/fphys.2013.00026
Cajipe, M. D., Chu, D., Bakaeen, F. G., Casal, R. F., LeMaire, S. A., Coselli, J. S., & Cornwell, L. D. (2012). Video-assisted thoracoscopic lobectomy is associated with better perioperative outcomes than open lobectomy in a veteran population. The American Journal of Surgery, 204(5), 607-612. doi: http://dx.doi.org/10.1016/j.amjsurg.2012.07.022
Chalmers, J. A., Quintana, D. S., Abbott, M. J., & Kemp, A. H. (2014). Anxiety disorders are associated with reduced heart rate variability: a meta-analysis. Frontiers in psychiatry, 5, 80.
Chang, L. H., Ma, T. C., Tsay, S. L., & Jong, G. P. (2012). Relationships between pain intensity and heart rate variability in patients after abdominal surgery: a pilot study. Chinese medical journal (Engl), 125(11), 1964-1969.
Charette, S., Fiola, J. L., Charest, M.-C., Villeneuve, E., Théroux, J., Joncas, J., . . . Le May, S. (2015). Guided imagery for adolescent post-spinal fusion pain management: A pilot study. Pain Management Nursing, 16(3), 211-220.
Chen, F. F., Zhang, D., Wang, Y. L., & Xiong, B. (2013). Video-assisted thoracoscopic surgery lobectomy versus open lobectomy in patients with clinical stage Ⅰ non-small cell lung cancer: A meta-analysis. European Journal of Surgical Oncology. 39(9), 957-963. doi: http://dx.doi.org/10.1016/j.ejso.2013.06.016
Cheung, Y. L., Molassiotis, A., & Chang, A. M. (2003). The effect of progressive muscle relaxation training on anxiety and quality of life after stoma surgery in colorectal cancer patients. Psycho‐Oncology, 12(3), 254-266.
Chlan, L. L. (2016). Engaging Critically Ill Patients in Symptom Management: Thinking Outside the Box!, American Journal of Critical Care, 25(4), 293-300. doi: 10.4037/ajcc2016932
De Pinto, M., Dagal, A., O'Donnell, B., Stogicza, A., Chiu, S., & Edwards, W. T. (2015). Regional anesthesia for management of acute pain in the intensive care unit. International Journal of Critical Illness and Injury Science, 5(3), 138-143. doi: 10.4103/2229-5151.164917
Dimitriev, D. A., Saperova, E. V., & Dimitriev, A. D. (2016). State Anxiety and Nonlinear Dynamics of Heart Rate Variability in Students. Public Library of Science One, 11(1), e0146131. doi:10.1371/journal.pone.0146131
Draucker, C. B., Jacobson, A. F., Umberger, W. A., Myerscough, R. P., & Sanata, J. D. (2015). Acceptability of a Guided Imagery Intervention for Persons Undergoing a Total Knee Replacement. Orthopedic Nursing, 34(6), 356-364. doi: 10.1097/nor.0000000000000193
Endukuru CK, Tripathi S. (2016). Evaluation of cardiac responses to stress in healthy individuals- a non invasive evaluation by heart rate variability and stroop test. International Journal of Science and Research, 5, 286-289.
Felix, M., Ferreira, M. B. G., da Cruz, L. F., & Barbosa, M. H. (2019). Relaxation Therapy with Guided Imagery for Postoperative Pain Management: An Integrative Review. Pain Management Nursing, 20(1), 3-9. doi:10.1016/j.pmn.2017.10.014
Forward, J. B., Greuter, N. E., Crisall, S. J., & Lester, H. F. (2015). Effect of Structured Touch and Guided Imagery for Pain and Anxiety in Elective Joint Replacement Patients--A Randomized Controlled Trial: M-TIJRP. The Permanente Journal, 19(4), 18-28. doi: 10.7812/tpp/14-236
Gelinas, C., Fillion, L., Puntillo, K. A., Viens, C., & Fortier, M. (2006). Validation of the critical-care pain observation tool in adult patients. American Journal of Critical Care, 15(4), 420-427.
Ghoneim, M. M., & O'Hara, M. W. (2016). Depression and postoperative complications: an overview. BMC Surgery, 16, 5. doi:10.1186/s12893-016-0120-y.
Gonzales, E. A., Ledesma, R. J., McAllister, D. J., Perry, S. M., Dyer, C. A., & Maye, J. P. (2010). Effects of guided imagery on postoperative outcomes in patients undergoing same-day surgical procedures: a randomized, single-blind study. AANA journal, 78(3), 181-188.
Hadjibalassi, M., Lambrinou, E., Papastavrou, E., & Papathanassoglou, E. (2018). The effect of guided imagery on physiological and psychological outcomes of adult ICU patients: A systematic literature review and methodological implications. Australian Critical Care, 31(2), 73-86. doi:10.1016/j.aucc.2017.03.001
Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. (1996). European Heart Journal, 17(3), 354-381.
Hollen, P. J., Gralla, R. J., Kris, M. G., McCoy, S., Donaldson, G. W., & Moinpour, C. M. (2005). A comparison of visual analogue and numerical rating scale formats for the Lung Cancer Symptom Scale (LCSS): does format affect patient ratings of symptoms and quality of life? Quality of Life Research, 14(3), 837-847.
Kim, H. G., Cheon, E. J., Bai, D. S., Lee, Y. H., & Koo, B. H. (2018). Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investig, 15(3), 235-245. doi:10.30773/pi.2017.08.17
Koenig, J., & Thayer, J. F. (2016). Sex differences in healthy human heart rate variability: A meta-analysis. Neuroscience & Biobehavioral Reviews, 64, 288-310. doi:10.1016/j.neubiorev.2016.03.007
Lehrer P.M., Vaschillo E., Vaschillo B., Lu S.E., Eckberg D.L., Edelberg R., Shih W.J., Lin Y., Kuusela T.A., Tahvanainen K.U., Hamer R.M.,(2003).Heart rate variability biofeedback increase baroreflex gain and peak expiratory flow. Psychosomatic Medicine, 65(5), 796-805.
Lewandowski, W., Jacobson, A., Palmieri, P. A., Alexander, T., & Zeller, R. (2011). Biological mechanisms related to the effectiveness of guided imagery for chronic pain. Biological Research For Nursing, 13(4), 364-375. doi:10.1177/1099800410386475
Li, L., Liu, X., & Herr, K. (2007). Postoperative pain intensity assessment: a comparison of four scales in Chinese adults. Pain Medicine, 8(3), 223-234.
Licht, C.M.M., DeGeus, E.J.C., RichardVan, D. A., Penninx, B.W.J.H. (2009). Association between anxiety disorders and heart rate variability in the Netherlands Study of Depression and Anxiety. Psychosomatic Medicine, 71(5), 508-518.
Licht, C.M.M., DeGeus, E.J.C., Zitman, F. G., Hoogendijk, W. J. G., VanDyck, R., & Penninx, B. W. J. H. (2008). Association between major depressive disorder and heart rate variability in the Netherlands Study of Depression and Anxiety. Archives of General Psychiatry, 65(12), 1358-1376.
Lin, P. C. (2012). An evaluation of the effectiveness of relaxation therapy for patients receiving joint replacement surgery. Journal of Clinical Nursing, 21(5-6), 601-608. doi: 10.1111/j.1365-2702.2010.03406.x
Lim, Y. C., Yobas, P., & Chen, H. C. (2014). Efficacy of relaxation intervention on pain, self-efficacy, and stress-related variables in patients following total knee replacement surgery. Pain Management Nursing, 15(4), 888-896. doi:10.1016/j.pmn.2014.02.001
Loeser, J. D. & Melzack, R. (1999). Pain: An overview. Lance, 353, 1607–1609.
Mateo, O. M., &; Krenzischek, D. A. (1992). A pilot study to assess the relationship between behavioral manifestations and self-report of pain in postanesthesia care unit patients. Journal of post anesthesia nursing, 7, 15-21.
Martin L. Rossman (2000). Guided Imagery for Self-Healing. HJ Kramer/New World Library; 2nd edition.
McCaffery, M., & Beebe, A. (1989). Pain: Clinical manual for nursing practice. St. Louis:CV Mosby Co.
Melzack, R.(1999). Form the gate to the neuromatrix. Pain, 6(suppl), s121-s126.
Melzack, R.( 2005). Evolution of the neuromatrix theory of pain. Pain Practice, 5(2),
85-94.
Nabi, B. N., Saberi, A., Hashemi, M., Sedighinejad, A., Haghighi, M., Biazar, G., & Rimaz, S. (2016). The Effects of Green Tea on Post-Operative Pain and Anxiety in Tibia Surgery: A Randomized Double Blind Clinical Trial. INTERNATIONAL JOURNAL OF MEDICAL RESEARCH & HEALTH SCIENCES, 5(7), 576-583.
Odhner, M., Wegman, D., Freeland, N., Steinmetz, A., Ingersoll, G.L. (2003). Assessing Pain Control in Nonverbal Critically Ill Adults. Dimensions of Critical Care Nursing, 22 (6), 260-267.
Pathak, P., Mahal, R., Kohli, A., & Nimbran, V. (2013). Progressive Muscle Relaxation: An adjuvant therapy for reducing pain and fatigue among hospitalized cancer patients receiving radiotherapy. International Journal of Advanced Nursing Studies, 2(2), 58.
Payen, J. F., Bru, O., Bosson, J. L., Lagrasta, A., Novel, E., Deschaux, I., Lavagne, P., &; Jacquot, C. (2001). Assessing pain in critically ill sedated patients by using a behavioral pain scale. Critical Care Medicine, 29(12), 2258-63.
Puntillo, K. A., Miaskowski, C., Kehrle, K., Stannard, D., Gleeson, S., &; Nye, P. (1997). Relationship between behavioral and physiological indicators of pain, critical care patients’ self-reports of pain, and opioid administration. Critical Care Medicine, 25(7), 1159–1166.
Puntillo, K. A., Morris, A. B., Thompson, C. L., Stanik-Hutt, J., White, C., &; Wild L.R. (2004). Pain behaviors observed during six common procedures:Results from Thunder Project II. Critical Care Medicine, 32(2), 421-427.
Park, S., Kang, C. H., Hwang, Y., Seong, Y. W., Lee, H. J., Park, I. K., & Kim, Y. T. (2016). Risk factors for postoperative anxiety and depression after surgical treatment for lung cancerdagger. European Journal of Cardio-Thoracic Surgery, 49(1), e16-21. doi: 10.1093/ejcts/ezv336
Rossman, M. L. (2018). Chapter 97 - Guided Imagery and Interactive Guided Imagery∗∗Interactive Guided Imagery is a particular approach taught by the Academy for Guided Imagery in Malibu, California, of which Dr. Rossman is a cofounder. In D. Rakel (Ed.), Integrative Medicine (Fourth Edition) (pp. 930-936.e931): Elsevier.
Rubin, Battino. (2000).Guided Imagery and Other Approaches to Healing. Carmarthen, United Kingdom: Crown House Publishing.
Seers, K., Crichton, N., Tutton, L., Smith, L., & Saunders, T. (2008). Effectiveness of relaxation for postoperative pain and anxiety: randomized controlled trial. Journal of Advanced Nursing, 62(6), 681-688. doi: 10.1111/j.1365-2648.2008.04642.x
Shaffer, F., & Ginsberg, J. P. (2017). An Overview of Heart Rate Variability Metrics and Norms. Frontiers in Public Health, 5(258). Retrieved from https://www.frontiersin.org/article/10.3389/fpubh.2017.00258. doi:10.3389/fpubh.2017.00258
Speilberger, C. D. (1984). Manual for the StateTrait Anxiety Inventory Palo Alto. California: Consulting Psychologists Press
Stefano G.B.,Zhu W.,Cadet P., Salamon E., Mantione K.J.,(2004).Music alters constitutively expressed opiate and cytokine processes in listeners. Medical Science Monitor,10(6),18-27.
Spiva, L., Hart, P. L., Gallagher, E., McVay, F., Garcia, M., Malley, K., . . . Smith, N. (2015). The Effects of Guided Imagery on Patients Being Weaned from Mechanical Ventilation. Evidence-Based Complementary and Alternative Medicine, 2015, 802865. doi: 10.1155/2015/802865
Thomas, K. M., & Sethares, K. A. (2010). Is guided imagery effective in reducing pain and anxiety in the postoperative total joint arthroplasty patient? Orthopedic Nursing, 29(6), 393-399. doi: 10.1097/NOR.0b013e3181f837f0
Tung, H.P., Chen, M. J., Huang, M. L., Chiang, H.S., & Wu, C.P. (2006). Assessment of pain intensity by nurses in the emergency department. Journal of Emergency Medicine (Taiwan), 8(3), 77-82.
Wang, Y., Li, H., Zou, H., & Li, Y. (2015). Analysis of Complaints from Patients During Mechanical Ventilation After Cardiac Surgery: A Retrospective Study. Journal of Cardiothoracic and Vascular Anesthesia. doi: 10.1053/j.jvca.2015.01.036
Wang, T. J., Chang, C. F., Lou, M. F., Ao, M. K., Liu, C. C., Liang, S. Y., . . . Tung, H. H. (2015). Biofeedback relaxation for pain associated with continuous passive motion in Taiwanese patients after total knee arthroplasty. Research in Nursing & Health,38(1), 39-50. doi: 10.1002/nur.21633
Xie, L. Q., Deng, Y. L., Zhang, J. P., Richmond, C. J., Tang, Y., & Zhou, J. (2016). Effects of Progressive Muscle Relaxation Intervention in Extremity Fracture Surgery Patients. Western Journal of Nursing Research, 38(2), 155-168. doi: 10.1177/0193945914551509
Yijing, Z., Xiaoping, D., Fang, L., Xiaolu, J., & Bin, W. (2015). The Effects of Guided Imagery on Heart Rate Variability in Simulated Spaceflight Emergency Tasks Performers. BioMed Research International, 2015, 687020. doi: 10.1155/2015/687020
Zhou, K., Li, X., Li, J., Liu, M., Dang, S., Wang, D., & Xin, X. (2015). A clinical randomized controlled trial of music therapy and progressive muscle relaxation training in female breast cancer patients after radical mastectomy: results on depression, anxiety and length of hospital stay. European Journal of Oncology Nursing, 19(1), 54-59. doi: 10.1016/j.ejon.2014.07.010
Zhou, Y., Petpichetchian, W., & Kitrungrote, L. (2011). Psychometric properties of pain intensity scales comparing among postoperative adult patients, elderly patients without and with mild cognitive impairment in China. International Journal of Nursing Studies, 48(4), 449-457. doi:10.1016/j.ijnurstu.2010.08.002

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊