以质量求发展，以服务铸品牌

Journal of Nursing ›› 2022, Vol. 29 ›› Issue (7): 44-49.doi: 10.16460/j.issn1008-9969.2022.07.044

Previous Articles     Next Articles

Scoping Review of Patient Decision Aids in Patients with Inflammatory Bowel Disease

ZHU Zhan-hui1, LIN Zheng1, 2, ZHOU Mei-jing1, WANG Mi1, SUN Cai-yun1, GU Jun-yi1   

  1. 1. School of Nursing, Nanjing Medical University, Nanjing 211166, China;
    2. Dept. of Nursing Administration,Jiangsu Province Hospital,the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
  • Received:2021-09-28 Online:2022-04-10 Published:2022-05-10

PDF (PC)

351

Like

Abstract: Objective To summarize the characteristics, functions and application effects of patient decision aids in patients with inflammatory bowel disease, and to provide reference for relative studies in China.Methods The relevant studies were systematically screened in SinoMed, CNKI, Wanfang and VIP databases, PubMed, EMBASE, Core collections of Web of Science, Cochrane Library and CINAHL. The retrieval period was from the inception to July 2021.The scope review was applied to analyze the literature. Results Eleven patient decision aids were included, which were mainly web-based decision aids and paper-based decision aids. By collecting patient preference information and providing disease-related knowledge, doctors and patients could make joint decisions. The assessment of application value was conducted in terms of the acceptability and satisfaction of doctors and patients and the feasibility and effectiveness of the tool. Conclusion The application effect of patient decision aids for patients with inflammatory bowel disease is favorable. It is suggested that researchers should develop standard and effective tools to improve the decision quality of patients with inflammatory bowel disease and promote its clinical application after the assessment of foreign patient decision aids.

Key words: patient decision aid, inflammatory bowel disease, scoping review

CLC Number: 

  • R473.5
[1] 吴开春,梁洁,冉志华,等.炎症性肠病诊断与治疗的共识意见(2018年·北京)[J].中国实用内科杂志,2018,38(9):796-813. DOI:10.19538/j.nk2018090106.
[2] 朱良如,沈骏.炎症性肠病医患共同决策——一个循序渐进的过程[J].中华炎性肠病杂志,2019,3(3):261-263. DOI:10.3760/cma.j.issn2096-367X.2019.03.018.
[3] 刘巧梅,余强,乐梅先.炎症性肠病患者参与临床决策的期望与能力对其参与临床决策满意度的影响[J].上海护理,2021,21(1):19-22. DOI:10.3969/j.issn.1009-8399.2021.01.005.
[4] Mahlich J, Matsuoka K, Sruamsiri R.Shared Decision Making and Treatment Satisfaction in Japanese Patients with Inflammatory Bowel Disease[J]. Dig Dis, 2017,35(5):454-462. DOI:10.1159/000471795.
[5] Barry MJ.Resolving the Decision Aid Paradox[J]. JAMA Intern Med, 2015,175(5):799-800. DOI:10.1001/jamainternmed.2015.72.
[6] 刘元. 克罗恩病患者共同决策辅助方案的构建及应用研究[D].湖州:湖州师范学院,2020. DOI:10.27946/d.cnki.ghzsf.2020.000018.
[7] Drug and Therapeutics Bulletin. An Introduction to Patient Decision Aids[J]. BMJ, 2013,347:f4147. DOI:10.1136/bmj.f4147.
[8] Stacey D, Légaré F, Lewis K, et al. Decision Aids for People Facing Health Treatment or Screening Decisions[J]. Cochrane Database Syst Rev, 2017,4(4):CD001431. DOI: 10.1002/14651858.CD001431.pub5.
[9] 冯小萌,邹郁松.糖尿病患者对医患共同决策辅助工具态度的研究[J].医学与哲学,2021,42(10):62-66. DOI:10.12014/j.issn.1002-0772.2021.10.14.
[10] 于琳,杨淑,郭萍萍,等.决策辅助工具在乳腺癌筛查中的应用现状与展望[J].中国护理管理,2020,20(10):1591-1595. DOI:10.3969/j.issn.1672-1756.2020.10.033.
[11] Colquhoun HL, Levac D, O'Brien KK, et al. Scoping Reviews: Time for clarity in Definition, Methods, and Reporting[J]. J Clin Epidemiol, 2014,67(12):1291-1294. DOI: 10.1016/j.jclinepi.2014.03.013.
[12] Arksey H, O'Malley L.Scoping Studies: Towards a Methodological Framework[J]. Int J Soc Res Methodol, 2005,8(1):19-32. DOI:10.1080/1364557032000119616.
[13] Almario CV, Keller MS, Chen M, et al.Optimizing Selection of Biologics in Inflammatory Bowel Disease: Development of an Online Patient Decision Aid Using Conjoint Analysis[J]. Am J Gastroenterol, 2018,113(1):58-71. DOI:10.1038/ajg.2017.470.
[14] Cohan JN, Ozanne EM, Sewell JL, et al.A Novel Decision Aid for Surgical Patients with Ulcerative Colitis: Results of a Pilot Study[J]. Dis Colon Rectum,2016,59(6):520-528. DOI: 10.1097/DCR.0000000000000572.
[15] Dalal RS, Osterman MT, Buchner AM, et al.A User-Friendly Prediction Tool to Identify Colectomy Risk in Patients with Ulcerative Colitis[J]. Inflamm Bowel Dis, 2019,25(9):1550-1558. DOI: 10.1093/ibd/izz014.
[16] Siegel CA, Horton H, Siegel LS, et al.A Validated Web-based Tool to Display Individualised Crohn's Disease Predicted Outcomes Based on Clinical, Serologic and Genetic Variables[J]. Aliment Pharmacol Ther, 2016,43(2):262-271. DOI: 10.1111/apt.13460.
[17] Jackson B, Begun J, Gray K, et al.Clinical Decision Support Improves Quality of Care in Patients with Ulcerative Colitis[J]. Aliment Pharmacol Ther, 2019, 49(8):1040-1051. DOI: 10.1111/apt.15209.
[18] Bennett AL, Buckton S, Lawrance I, et al.Ulcerative Colitis Outpatient Management: Development and Evaluation of Tools to Support Primary Care Practitioners[J]. Intern Med J, 2015,45(12):1254-1266. DOI: 10.1111/imj.12872.
[19] Kim AH, Girgis A, De Cruz P, et al.Development and Feasibility of a Web-based Decision Aid for Patients With Ulcerative Colitis: Qualitative Pilot Study[J].J Med Internet Res, 2021,23(2):e15946. DOI:10.2196/15946.
[20] Kennedy AP, Nelson E, Reeves D, et al.A Randomised Controlled Trial to Assess the Effectiveness and Cost of a Patient Orientated Self Management Approach to Chronic Inflammatory Bowel Disease[J]. Gut, 2004,53(11):1639-1645. DOI: 10.1136/gut.2003.034256.
[21] Hoyo JD, Nos P, Faubel R, et al.Adaptation of TECCU App Based on Patients' Perceptions for the Telemonitoring of Inflammatory Bowel Disease: A Qualitative Study Using Focus Groups[J]. Int J Environ Res Public Health, 2020,17(6):1871. DOI:10.3390/ijerph17061871.
[22] Cha JM, Park DI, Park SH, et al.Physicians Should Provide Shared Decision-making for Anti-TNF Therapy to Inflammatory Bowel Disease Patients[J].J Korean Med Sci, 2017,32(1):85-94. DOI:10.3346/jkms.2017.32.1.85.
[23] Holmes-Rovner M.International Patient Decision Aid Standards (IPDAS): Beyond Decision Aids to Usual Design of Patient Education Materials[J]. Health Expect, 2007,10(2):103-107. DOI: 10.1111/j.1369-7625.2007.00445.x.
[24] 蒙艺,陈玲,邹丽琴.医疗决策模式中权力权利与文化的变迁及启示[J].护理学报,2021,28(16):74-78. DOI:10.16460/j.issn1008-9969.2021.16.074.
[25] Siegel CA, Lofland JH, Naim A, et al.Gastroenterologists' Views of Shared Decision Making for Patients with Inflammatory Bowel Disease[J]. Dig Dis Sci, 2015,60(9):2636-2645. DOI:10.1007/s10620-015-3675-z.
[26] 詹昱新,喻姣花,刘云访,等.护理人员对护患共享决策实践认知的质性研究[J].护理学杂志,2021,36(1):56-59. DOI:10.3870/j.issn.1001-4152.2021.01.056.
[27] Wyatt KD, Branda ME, Anderson RT, et al.Peering into the Black Box: A Meta-analysis of How Clinicians Use Decision Aids during Clinical Encounters[J]. Implement Sci, 2014,9:26. DOI:10.1186/1748-5908-9-26.
[28] Levinson W, Kao A, Kuby A, et al.Not All Patients Want to Participate in Decision Making. A National Study of Public Preferences[J]. J Gen Intern Med, 2005,20(6):531-535. DOI: 10.1111/j.1525-1497.2005.04101.x.
[29] 牟玮,陆翠,王云云,等.患者决策辅助工具国际标准4.0版的引进与评估[J]. 医学与哲学,2019,40(18):11-17. DOI:10.12014/j.issn.1002-0772.2019.18.03.
[30] 高亚男,张志茹.决策辅助在乳腺癌患者中的应用现状[J].护理学报,2017,24(1):38-41.DOI:10.16460/j.issn1008-9969.2017.01.038.
[1] CHEN En-lin, MO Feng-ling, ZHUANG Ze-ming, ZHANG Ming-zhe, ZHOU Jia-kun, HUANG Li-fang, JI Long-fei, ZHANG Li-fang. Assessment tools for unilateral spatial neglect after stroke: a scoping review [J]. Journal of Nursing, 2025, 32(3): 43-49.
[2] ZHU Tian-shun, ZHU Ke-ke, XUE Hui-yuan, JIAO Cong-cong, WEI Chang-hui, WANG He. Application of message framing theory in health management: a scoping review [J]. Journal of Nursing, 2025, 32(2): 44-49.
[3] LI Ke, HE Yu-qiong, LI Yu-wei, CHANG Ying. Intervention programs for fear of falling in stroke patients: a scoping review [J]. Journal of Nursing, 2025, 32(1): 50-55.
[4] 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.
[5] 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.
[6] SUN Su-ya, CHEN Ya-mei, CHEN Wei-xian, BO Jin, LIU Xiao-hong, HUANG Yan, LIN Meng-yue. Application of cognitive interview in cultural adjustment of Transition Readiness Measure for patients with inflammatory bowel disease in transitional period [J]. Journal of Nursing, 2024, 31(6): 1-5.
[7] LI Wei, WANG Xiang, PEI Li, GAO Qing-qing, HUANG Hai-chao. Symptom clusters among women during late pregnancy: a scoping review [J]. Journal of Nursing, 2024, 31(3): 51-56.
[8] WANG Yue, LIU Guo-qing, NIU Cong-ying, ZHANG Zhen-wei, SUN Jian, CHU You-ai, QIN Han-zhi. Risk prediction models of 30-day mortality after surgery in patients with hip fractures: a scoping review [J]. Journal of Nursing, 2024, 31(24): 51-56.
[9] WANG Ai, ZHOU Bing-qian, CAO Hong. Application of Fracture Liaison Service in Patients with Osteoporotic Hip Fracture：a Scoping Review [J]. Journal of Nursing, 2024, 31(22): 48-53.
[10] WU Ping, YU Wan-chen, LIU Jia-yi, WANG Shan-shan, HU Yan. Social support among prediabetes population: a scoping review [J]. Journal of Nursing, 2024, 31(21): 49-54.
[11] ZHANG Li, LI Fu-hua, GU Xiao-gai, HAO Na, WANG Dan-dan, GUAN Mei-qi. Construction of training program for nurse specialist of inflammatory bowel disease [J]. Journal of Nursing, 2024, 31(19): 31-36.
[12] GUO Shi-hong, BAI Xiao-ling, LOU Ting, YU Na, YANG Zeng-zhen, NIU Yu-tian, LI Hui. Assessment tools for oral frailty: a scoping review [J]. Journal of Nursing, 2024, 31(14): 52-56.
[13] DENG Ying-yi, CHENG Lu-ying, GONG Xi-yan, WANG Min, LIAO Dong-xia, ZHANG Cui-cui, DING Juan, GU Qing-lu, LIAO Chang-ju. Evidence-based practice of clinical nursing handover: a scoping review [J]. Journal of Nursing, 2024, 31(14): 57-62.
[14] LI Ling-yu, CAO Ying, LIAO Ling, WANG Quan-ru, TAN Min. Human pain sensitivity assessment tools: a scoping review [J]. Journal of Nursing, 2024, 31(11): 35-41.
[15] SHI Ting-ting, LI Ting, HUANG You-peng, ZHAO Yuan, ZHU Xiao-li, ZHOU Meng-juan, CHEN Yun-mei. Risk prediction model of oteoporosis in patients with type 2 diabetes: a scoping review [J]. Journal of Nursing, 2024, 31(1): 52-57.
Viewed
Full text


Abstract

Cited
  Shared   
No Suggested Reading articles found!