以质量求发展，以服务铸品牌

Journal of Nursing ›› 2025, Vol. 32 ›› Issue (6): 6-11.doi: 10.16460/j.issn1008-9969.2025.06.006

Previous Articles     Next Articles

Current status and influencing factors of decision fatigue in patients with breast cancer

LIAO Yarou1, LIU Jia1, SONG Ning1, LI Shaofang2, WU Xing3,4   

  1. 1. School of Nursing, Xinjiang Medical University, Urumqi 830011, China;
    2. Dept. of Thyroid and Breast Surgery, the Third People’s Hospital of Huizhou, Huizhou 516002, China;
    3. The Seventh Affiliated Hospital of Xinjiang Medical University, Urumqi 830028, China;
    4. Xinjiang Regional Research Center for Population Disease and Health Care, Urumqi 830011, China
  • Received:2024-08-28 Online:2025-03-25 Published:2025-05-06

PDF (PC)

3

Like

Abstract: Objective To explore the current status of decision fatigue among patients with breast cancer and its influencing factors, and to provide reference for formulating targeted decision support measures. Methods A total of 400 patients with breast cancer from 3 general hospitals in Huizhou City, Guangdong Province from November 2023 to May 2024 were selected by convenience sampling. The General Information Questionnaire, Decision Fatigue Scale, Decision Conflict Scale, Preparation for Decision Making Scale, Social Support Rating Scale, and All Aspects of Health Literacy Scale were used to conduct the investigation. Results The score of Decision Fatigue Scale for patients with breast cancer was 17.93±4.40. Multiple linear regression analysis showed that educational background, lack of specific tumor stage, sleep duration, treatment methods experienced, decision conflict, decision preparation and social support were the influencing factors of decision fatigue（P<0.05）. Conclusion Decision fatigue of patients with breast cancer is at a moderate level. Healthcare providers should take the influencing factors into consideration and take effective measures to timely detect and reduce decision fatigue of patients, thus to improve their decision enthusiasm.

Key words: breast cancer, decision fatigue, decision conflict, preparation for decision making, social support, care

CLC Number: 

  • R473.73
[1] 中国抗癌协会乳腺癌专业委员会,中华医学会肿瘤学分会乳腺肿瘤学组.中国抗癌协会乳腺癌诊治指南与规范(2024年版)[J].中国癌症杂志,2023,33(12):1092-1187.DOI:10.19401/j.cnki.1007-3639.2023.12.004.
[2] John P,Osani MC, Kodali A, et al.Comparative effectiveness of adjuvant chemotherapy in early-stage breast cancer: a network meta-analysis[J]. Clin Breast Cancer, 2021,21(1):e22-e37. DOI:10.1016/j.clbc.2020.07.005.
[3] Pignatiello GA, Martin RJ, Hickman RL Jr.Decision fatigue: a conceptual analysis[J]. J Health Psychol,2020,25(1):123-135. DOI:10.1177/1359105318763510.
[4] Hunt TC, Ambrose JP, Haaland B, et al.Decision fatigue in low-value prostate cancer screening[J]. Cancer,2021,127(18):3343-3353. DOI:10.1002/cncr.33644.
[5] Zheng B, Kwok E, Taljaard M,et al.Decision fatigue in the emergency department: how does emergency physician decision making change over an eight-hour shift?[J]. Am J Emerg Med,2020,38(12):2506-2510. DOI:10.1016/j.ajem.2019.12.020.
[6] Li J, Yuan Y, Bian L, et al.A comparison between clinical decision support system and clinicians in breast cancer[J]. Heliyon,2023,9(5):e16059.DOI:10.1016/j.heliyon.2023.e16059.
[7] Hatami Z, Sarkhani N, Nikpeyma N.Decision fatigue in nurses in the COVID-19 pandemic: a commentary[J]. Nurs Open, 2022, 9(1):4-5. DOI:10.1002/nop2.1069.
[8] Pignatiello GA, Martin RJ, Hickman RL Jr.Decision fatigue: a conceptual analysis[J].J Health Psychol, 2020, 25(1):123-135. DOI:10.1177/1359105318763510.
[9] 朱丽婷,濮家琳,李春,等.决策准备对食管癌患者决策疲劳的影响路径研究——决策冲突的中介效应和参与决策期望的调节效应[J].护士进修杂志,2023,38(21):1954-1959.DOI:10.16821/j.cnki.hsjx.2023.21.007.
[10] 梅思娟,段培蓓,王晓庆,等.晚期癌症患者决策疲劳现状及影响因素研究[J].护理学杂志,2022,37(22):51-53.
[11] 郑卫军,何凡. 现况调查的样本量计算方法[J].预防医学,2020,32(6):647-648. DOI:10.19485/j.cnki.issn2096-5087.2020.06.028.
[12] Hickman RL Jr, Pignatiello GA, Tahir S.Evaluation of the Decisional Fatigue Scale among surrogate decision makers of the critically Ill[J]. West J Nurs Res,2018,40(2):191-208. DOI:10.1177/0193945917723828.
[13] 潘国翠,李梅.决策疲劳量表的汉化及其应用于ICU患者家属的信度效度评价[J].护理学报,2020,27(12):38-41.DOI:10.16460/j.issn1008-9969.2020.12.038.
[14] O’Connor AM. Validation of a decisional conflict scale[J]. Med Decis Making, 1995,15(1):25-30.DOI:10.1177/0272989X9501500105.
[15] 李玉. 早期原发性肝癌患者治疗决策辅助方案的构建与应用研究[D].上海:第二军医大学,2017.
[16] Bennett C, Graham ID, Kristjansson E, et al.Validation of a preparation for Decision Making Scale[J]. Patient Educ Couns, 2010, 78(1):130-133. DOI:10.1016/j.pec.2009.05.012.
[17] 肖水源. 《社会支持评定量表》的理论基础与研究应用[J].临床精神医学杂志,1994(2):98-100.
[18] Chinn D, McCarthy C. All Aspects of Health Literacy Scale (AAHLS): developing a tool to measure functional, communicative and critical health literacy in primary healthcare settings[J]. Patient Educ Couns,2013,90(2):247-253. DOI:10.1016/j.pec.2012.10.019.
[19] 吴清,叶旭春,巫雅萍,等.全面健康素养测量量表的汉化及信效度分析[J].中国全科医学,2017,20(10):1229-1233.
[20] 刘琳琳,朱仁敏,赵慧华.老年消化道肿瘤共病糖尿病患者化疗期自我管理现状调查及工具包的探索研究[J].护士进修杂志,2023,38(11):1001-1005.DOI:10.16821/j.cnki.hsjx.2023.25.002.
[21] 江丽玲,王建宁,李立群,等.110例乳腺癌女性患者健康素养与癌症复发恐惧的相关性研究[J].护理学报,2020,27(14):26-29.DOI:10.16460/j.issn1008-9969.2020.14.026.
[22] Lee TI, Sheu SJ, Chang HC, et al.Developing a web-based comic for newly diagnosed women with breast cancer: an action research approach[J]. J Med Internet Res, 2019,21(2):e10716. DOI:10.2196/10716.
[23] Sievertsen HH, Gino F, Piovesan M.Cognitive fatigue influences students’ performance on standardized tests[J]. Proc Natl Acad Sci,2016,113(10):2621-2624.DOI:10.1073/pnas.1516947113.
[24] 曾倩,李艳,刘玉雪,等.八段锦锻炼对乳腺癌术后康复期患者抑郁情绪、睡眠质量及生活质量的影响[J].中国运动医学杂志,2024,43(6):458-464.DOI:10.16038/j.1000-6710.2024.06.008.
[25] 安晓,薛雅婷,夏雨,等.126名护士长决策疲劳现状及影响因素分析[J].护理学报,2023,30(3):74-78.DOI:10.16460/j.issn1008-9969.2023.03.074.
[26] Pecanac KE, Brown RL, Kremsreiter HB.Decisional conflict during major medical treatment decision-making: a survey study[J].J Gen Intern Med,2021,36(1):55-61.DOI:10.1007/s11606-020-06125-1.
[27] 李学靖,赵俊强,张小艳,等.渥太华决策支持框架内涵及其临床应用的范围综述[J].中华护理杂志,2022,57(6):756-762.
[28] Padilla Garrido, Nuria et al. “onocimiento y evaluación de la toma de decisiones compartidas en la práctica oncológica desde el punto de vista médico”[Physicians’ awareness and assessment of shared decision making in oncology practice[J]. Revista Espanola De Salud Publica, 2019,93:e201910066.
[29] 安晓,薛雅婷,夏雨,等.ICU患者替代决策者决策疲劳现状及影响因素分析[J].中华护理杂志,2023,58(8):949-955.
[30] 刘月,张青月,于林桐,等.老年乳腺癌患者乳房重建决策体验的质性研究[J].护理学报,2022,29(21):67-70.DOI:10.16460/j.issn1008-9969.2022.21.067.
[1] CAO Yabing, ZHANG Weiqing, ZHENG Shuo, WANG Xinyuan, SONG Jielu, WANG Haojie. Current status of demand balance in 207 family caregivers of senile dementia patients and its influencing factors [J]. Journal of Nursing, 2025, 32(6): 1-5.
[2] ZHAO Wenjing, GUAN Xiaohong, ZHANG Hailing, YU Juan, CHU Aiqin, GE Wenjing, SHI Ke. Best evidence summary for pregnancy management in renal transplant recipients [J]. Journal of Nursing, 2025, 32(6): 32-37.
[3] SUN Chunyan, CAI Minyi, LIU Xiaoyu, XIE Meixiang, QIN Liuye, WANG Li, LI Huiping. Qualitative studies on healthcare providers’ experiences in managing non-suicidal self-injury patients: a Meta-synthesis [J]. Journal of Nursing, 2025, 32(5): 47-52.
[4] LI Jiang-wei, WANG Shu-jun, LI Chang-zai, HU Bao-shan, JIAO Gui-mei, ZHANG Wei-hong. Effects of nursing intervention based on stress and coping theory on psychological stress, negative emotions and self-management in patients with permanent enterostomy after surgery for colorectal cancer [J]. Journal of Nursing, 2025, 32(4): 64-69.
[5] WU Chao-yu, LIU Shang-kun. Crisis management competence of nurses in post-anesthesia care unit: a qualitative study [J]. Journal of Nursing, 2025, 32(3): 17-21.
[6] WEI Li, ZHAO Xing-ying, LIU Jia, HE Yu-xuan, CHEN Xiao-mei, YANG Xue, XIAN Ji-shu, YANG Yan-ni. Care burden of family caregivers of severe inpatients in neurosurgery department and its influencing factors [J]. Journal of Nursing, 2025, 32(2): 1-6.
[7] CAO Min, ZHANG Pei-li, HOU Xiao-ya, GAO Chao-yue, GUO Lin-fang, LI Ying. Nutritional care experience of caregivers of colorectal cancer patients undergoing chemotherapy based on ABC-X model: a qualitative study [J]. Journal of Nursing, 2025, 32(2): 13-18.
[8] YAN Ya-ling, LE Mei-ni, YAO Tao-qin, WANG Xue-lian, JIANG Jian-ling, XIN Yi. Construction of perioperative frailty management program for elderly patients with gastrointestinal tumors [J]. Journal of Nursing, 2025, 32(2): 74-78.
[9] LI Ding-ding, WANG Shuai-you, ZHU Shan-shan, GUO Xin, ZHANG Hui-min, WANG Hong-ru, PAN Qin. Supportive care needs assessment tools for stroke patients: a scoping review [J]. Journal of Nursing, 2024, 31(9): 48-53.
[10] CHEN Jie, LAI Jing, WANG Cheng-yue, XU Liang-ying, YAN Juan, LUO Xue. Construction of humanistic care quality evaluation index system of ICU nursing based on Three-dimensional Quality Structure Theory [J]. Journal of Nursing, 2024, 31(9): 54-59.
[11] HE Jiao, LIU Yi-lan, GUAN Chun-yan, HAN Yan-hong, CHEN Rui, HU De-ying. Construction of humanistic care training course system for hospital nurses based on Taylor Principle [J]. Journal of Nursing, 2024, 31(8): 13-17.
[12] HUA Jing, ZHANG Qing-yue, WANG Yan, CHENG Chang, ZHANG Xiu-li, ZHANG Ai'ai. Application of question prompt list in patients undergoing breast cancer surgery [J]. Journal of Nursing, 2024, 31(8): 18-22.
[13] MA Rui-rui, FAN Xiao-li, XU Shu-juan, ZHANG Wei, CHEN Ting, TAN Fei-fei. Nurses' involvement in end-of-life decision-making for terminally ill patients: a qualitative study [J]. Journal of Nursing, 2024, 31(7): 6-11.
[14] GUO Jun-chen, LIU Chao-yi, DAI Yun-yun, JIANG Si-shan, YANG Suo, CHEN Yong-yi. Virtual reality technology in patients at end of life: a scoping review [J]. Journal of Nursing, 2024, 31(7): 40-45.
[15] ZHOU Yue, ZHANG Jie, PAN Yu-fan, DAI Yu, SUN Yu-jian, XIAO Yi, YU Yu-feng. Prediction models for risk of acquired weakness in mechanically ventilated patients: a systematic review [J]. Journal of Nursing, 2024, 31(6): 56-61.
Viewed
Full text


Abstract

Cited
  Shared   
No Suggested Reading articles found!