数字健康技术在减重与代谢手术后患者延续性护理中应用的范围综述

doi:10.3761/j.issn.0254-1769.2026.11.019

中华护理杂志 ›› 2026, Vol. 61 ›› Issue (11): 1572-1578.DOI: 10.3761/j.issn.0254-1769.2026.11.019

数字健康技术在减重与代谢手术后患者延续性护理中应用的范围综述

张苗苗¹(), 张文忠², 孙庆祥³, 凌晖¹, 季红⁴()

1.山东中医药大学护理学院济南市 250014
2.山东大学护理与康复学院济南市 250012
3.山东第一医科大学第一附属医院（山东省千佛山医院）门诊部济南市 250014
4.山东第一医科大学第一附属医院（山东省千佛山医院）护理部济南市 250014

收稿日期:2025-12-12 出版日期:2026-06-10 发布日期:2026-06-10
*通讯作者: 季红 E-mail：honghongji-2005@163.com
作者简介:张苗苗：女，本科（硕士在读），E-mail：663217127@qq.com
作者贡献声明
张苗苗：选题设计、文献检索、论文撰写；张文忠：研究指导、论文审阅和修改；孙庆祥、凌晖：文献检索；季红：基金支持、论文审阅和修改
基金资助:
公立医院改革与高质量发展实践性课题(YG2024B023)

Digital health technologies in the continuity of care for patients after metabolic and bariatric surgery：a scoping review

ZHANG Miaomiao¹(), ZHANG Wenzhong², SUN Qingxiang³, LING Hui¹, JI Hong⁴()

1. School of Nursing，Shandong University of Traditional Chinese Medicine，Jinan 250014，China
2. School of Nursing and Rehabilitation，Shandong University，Jinan 250012，China
3. Outpatient Department，The First Affiliated Hospital of Shandong First Medical University（Shandong Provincial Qianfoshan Hospital），Jinan 250014，China
4. Nursing Department，The First Affiliated Hospital of Shandong First Medical University（Shandong Provincial Qianfoshan Hospital），Jinan 250014，China

Received:2025-12-12 Online:2026-06-10 Published:2026-06-10
* Corresponding author: JI Hong，E-mail：honghongji-2005@163.com
Funding program:
Public Hospital Reform and High-Quality Development Practical Project(YG2024B023)

摘要/Abstract

摘要：

目的对数字健康技术在减重与代谢手术后患者延续性护理中应用的研究进行范围审查，为减重与代谢手术后患者延续性护理实践提供参考。方法系统检索PubMed、Web of Science、Embase、CINAHL、Cochrane Library、中国知网、中国生物医学文献数据库、万方数据库与维普数据库中关于数字健康技术在减重与代谢手术后患者延续性护理中应用的相关研究，检索时限为建库至2025年11月11日，并对纳入文献进行汇总分析。结果共纳入21篇文献，数字健康技术的应用载体包括应用程序类、监测设备与系统类、远程护理服务类。主要应用于健康行为管理、动态生理监测与并发症早期预警、心理社会适应针对性干预、延续性护理服务的优化。评价指标包括人体测量学指标、代谢及实验室指标、基础生理检测指标、行为与自我管理指标、心理与生活质量指标、患者满意度、医疗服务效率指标、临床结局与疗效评估指标及其他指标。注意事项涉及患者评估与适配、技术选择与安全保障、监测规范与使用指导、数据管理与随访体系。结论数字健康技术在减重与代谢手术后延续性护理中具有良好的应用前景，建议未来以临床需求为导向，构建分层级、标准化的数字干预体系，完善多维度客观评价指标，并依托区域医疗协同平台整合资源，以推动该领域向高质量、智能化方向发展。

关键词: 减重与代谢手术, 数字健康技术, 延续性护理, 范围综述

Abstract:

Objective To conduct a scoping review of the application of digital health technologies in the continuity of care for patients after bariatric and metabolic surgery，providing a reference for the practice of post-bariatric continuous care. Methods A systematic search was conducted in PubMed，Web of Science，Embase，CINAHL，Cochrane Library，CNKI，China Biomedical Literature Database，Wanfang Database，and VIP Database for studies on the application of digital health technologies in the continuity of care for post-bariatric and metabolic surgery patients，with the search period spanned from database inception to November 11，2025. The included literature was summarized and analyzed. Results A total of 21 studies were included. The application carriers of digital health technologies include application programs，monitoring devices and systems，and remote nursing services. They are mainly applied to health behavior management，dynamic physiological monitoring and early warning of complications，targeted interventions for psychosocial adaptation，and optimization of continuity of care services. Evaluation indicators include anthropometric indicators，metabolic and laboratory indicators，basic physiological monitoring indicators，behavior and self-management indicators，psychological and quality of life indicators，patient satisfaction，healthcare service efficiency indicators，clinical outcomes and efficacy evaluation indicators，and other indicators. Considerations involve patient assessment and adaptation，technology selection and security assurance，monitoring standards and usage guidance，and data management and follow-up systems. Conclusion Digital health technologies hold substantial promise for continuous care following metabolic surgery for weight loss. It is recommended that future initiatives should be guided by clinical needs，with the development of a hierarchical and standardized digital intervention system，the enhancement of multidimensional objective assessment indicators，and the integration of resources through regional medical collaboration platforms，to advance high-quality and intelligent development in this field.

Key words: Bariatric and Metabolic Surgery, Digital Health Technology, Continuity of Care, Scoping Review

张苗苗, 张文忠, 孙庆祥, 凌晖, 季红. 数字健康技术在减重与代谢手术后患者延续性护理中应用的范围综述[J]. 中华护理杂志, 2026, 61(11): 1572-1578.

ZHANG Miaomiao, ZHANG Wenzhong, SUN Qingxiang, LING Hui, JI Hong. Digital health technologies in the continuity of care for patients after metabolic and bariatric surgery：a scoping review[J]. Chinese Journal of Nursing, 2026, 61(11): 1572-1578.

图/表 1

参考文献 31

[1]	Sun XM, Yan AF, Shi ZM, et al. Health consequences of obe-sity and projected future obesity health burden in China[J]. Obesity, 2022, 30(9):1724-1751.
[2]	Avenell A, Robertson C, Skea Z, et al. Bariatric surgery,lifestyle interventions and orlistat for severe obesity:the REBALANCE mixed-methods systematic review and economic evaluation[J]. Health Technol Assess, 2018, 22(68):1-246.
[3]	荣菲, 孙霞, 裴新荣, 等. 肥胖症患者接受减重手术治疗后的自我管理现状及影响因素分析[J]. 中西医结合护理(中英文), 2022, 8(6):142-144.
	Rong F, Sun X, Pei XR, et al. Current situation and influencing factors of self-management in obese patients undergoing baria-tric surgery[J]. J Clin Nurs Pract, 2022, 8(6):142-144.
[4]	朱涵菲, 杨宁琍, 任子淇, 等. 减重代谢术后患者饮食依从性影响因素的质性研究[J]. 中华护理杂志, 2021, 56(1):56-61.
	Zhu HF, Yang NL, Ren ZQ, et al. Influencing factors of dietary adherence among patients following bariatric surgery:a qualita-tive study[J]. Chin J Nurs, 2021, 56(1):56-61.
[5]	Raje S, Shetty AG, Shetty S, et al. Application of digital tech-nology in rehabilitation of total knee arthroplasty:a systematic review[J]. J Orthop, 2024,54:108-115.
[6]	Yang C, Kessler M, Taebi N, et al. Remote follow-up with a mobile application is equal to traditional outpatient follow-up after bariatric surgery:the BELLA pilot trial[J]. Obes Surg, 2023, 33(6):1702-1709.
[7]	Nijland LMG, van Veen RN, Ruys AT, et al. Feasibility of pos-toperative home monitoring using video consultation and vital sign monitoring of bariatric patients[J]. Obes Surg, 2020, 30(6):2369-2374.
[8]	Arksey H, O’Malley L. Scoping studies:towards a methodolo-gical framework[J]. Int J Soc Res Methodol, 2005, 8(1):19-32.
[9]	刘芳芳, 吴佳丽, 田华开, 等. “互联网+”健康教育模式在肥胖合并糖尿病患者减重术后的效果[J]. 中国当代医药, 2024, 31(18):163-166.
	Liu FF, Wu JL, Tian HK, et al. Effect of “Internet+”health education model in obese patients with diabetes mellitus after bariatric surgery[J]. China Mod Med, 2024, 31(18):163-166.
[10]	Bonn SE, Hult M, Spetz K, et al. Effect of a smartphone ap-plication on physical activity and weight loss after bariatric surgery:results from a randomized controlled trial[J]. Obes Surg, 2023, 33(9):2841-2850.
[11]	Wood GC, Benotti P, Gerhard GS, et al. A patient-centered electronic tool for weight loss outcomes after Roux-en-Y gas-tric bypass[J]. J Obes, 2014,2014:364941.
[12]	Ueter S, Taebi N, Weiβ C, et al. Study protocol for a non-inferiority,multicenter,randomized study to evaluate a smart-phone app-based follow-up program after bariatric surgery(BELLA plus trial)[J]. Contemp Clin Trials, 2024,144:107615.
[13]	Spetz K, Hult M, Olbers T, et al. A smartphone application to improve adherence to vitamin and mineral supplementation after bariatric surgery[J]. Obesity, 2022, 30(10):1973-1982.
[14]	Vilallonga R, Lecube A, Fort JM, et al. Internet of things and bariatric surgery follow-up:comparative study of standard and IoT follow-up[J]. Minim Invasiv Ther, 2013, 22(5):304-311.
[15]	Huang YW, Hsu KF, Chang TW, et al. eHealth intervention via LINE^R social media as an adjunct for postoperative care after bariatric-metabolic surgery:single institution experience[J]. Obes Surg, 2023, 33(3):860-869.
[16]	Wang CD, Rajaratnam T, Stall B, et al. Exploring the effects of telemedicine on bariatric surgery follow-up:a matched case control study[J]. Obes Surg, 2019, 29(8):2704-2706.
[17]	Versteegden DPA, Van Himbeeck MJJ, Nienhuijs SW. Assess-ing the value of eHealth for bariatric surgery(BePatient trial):study protocol for a randomized controlled trial[J]. Trials, 2018, 19(1):625.
[18]	Saux P, Bauvin P, Raverdy V, et al. Development and valida-tion of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery:a multinational retrospective cohort SOPHIA study[J]. Lancet Digit Health, 2023, 5(10):e692-e702.
[19]	Yıldız E, Karagözoğlu Ş. The effects of a web-based interac-tive nurse support program based on the health promotion model on healthy living behaviors and self-efficacy in patients who regained weight after bariatric surgery:a rando-mized controlled trial[J]. Obes Surg, 2023, 33(10):3212-3222.
[20]	Carandina S, Zulian V, Nedelcu A, et al. Laparoscopic sleeve gastrectomy follow-up:use of connected devices in the posto-perative period[J]. Surg Obes Relat Dis, 2019, 15(7):1058-1065.
[21]	Arnaert A, Girard A, Craciunas S, et al. Patients’ experiences of telenursing follow-up care after bariatric surgery[J]. J Clin Nurs, 2022, 31(7/8):985-994.
[22]	Dolan PT, Afaneh C, Dakin G, et al. Lessons learned from developing a mobile app to assist in patient recovery after weight loss surgery[J]. J Surg Res, 2019,244:402-408.
[23]	Lahooti A, Johnson KE, Aneke-Nash C, et al. Comparing weight loss and metabolic outcomes of virtual versus in-person follow-up care in bariatrics:a propensity-matched analysis at 12 and 36 months post-ESG[J]. Obes Surg, 2025, 35(7):2426-2435.
[24]	Conceição EM, Machado PPP, Vaz AR, et al. APOLO-Bari,an internet-based program for longitudinal support of bariatric surgery patients:study protocol for a randomized controlled trial[J]. Trials, 2016, 17(1):114.
[25]	Elvin-Walsh L, Ferguson M, Collins PF. Nutritional monitoring of patients post-bariatric surgery:implications for smartphone applications[J]. J Hum Nutr Diet, 2018, 31(1):141-148.
[26]	Farinella E, Papakonstantinou D, Koliakos N, et al. Feasibility and satisfaction with remote digital postoperative follow-up using a three-tiered alert system after bariatric surgery[J]. Int J Obes, 2025, 49(6):1166-1172.
[27]	Farinella E, Papakonstantinou D, Koliakos N, et al. Integrating machine learning and dynamic digital follow-up for enhanced prediction of postoperative complications in bariatric surgery[J]. Obes Surg, 2025, 35(6):2202-2209.
[28]	Loh HH, Francis B, Lim LL, et al. Improvement in mood sym-ptoms after post-bariatric surgery among people with obesity:a systematic review and meta-analysis[J]. Diabetes Metab Res Rev, 2021, 37(8):e3458.
[29]	詹晓庆, 郑喜兰, 王继伟, 等. 社会心理干预对减重手术患者健康状况影响的系统评价[J]. 中华护理杂志, 2023, 58(23):2920-2928.
	Zhan XQ, Zheng XL, Wang JW, et al. Psychosocial interven-tion for improving health in patients with bariatric surgery:a Meta-analysis[J]. Chin J Nurs, 2023, 58(23):2920-2928.
[30]	Haddad A, Suter M, Greve JW, et al. Therapeutic options for recurrence of weight and obesity related complications after metabolic and bariatric surgery:an IFSO position statement[J]. Obes Surg, 2024, 34(11):3944-3962.
[31]	田雪晴, 贾国安, 相裕华, 等. 减重手术患者不良饮食行为评估工具的系统评价[J]. 中华护理杂志, 2025, 60(18):2287-2294.
	Tian XQ, Jia GA, Xiang YH, et al. Systematic review of assessment tools for maladaptive eating behaviors in bariatric surgery patients[J]. Chin J Nurs, 2025, 60(18):2287-2294.

数字健康技术在减重与代谢手术后患者延续性护理中应用的范围综述

Digital health technologies in the continuity of care for patients after metabolic and bariatric surgery：a scoping review

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 1

参考文献 31

相关文章 15

编辑推荐

Metrics

[1]	李秋桦, 傅桂芬, 蒋建华, 尹丹, 左静, 刘艳群. 可穿戴设备在炎症性肠病患者动态监测与管理中应用的范围综述[J]. 中华护理杂志, 2026, 61(8): 1132-1140.
[2]	王秀丽, 代春豪, 许梓婷, 李昊远, 冷敏敏, 张海博, 李晴, 杨丽娟. 运动干预在老年肌少性肥胖患者中应用的范围综述[J]. 中华护理杂志, 2026, 61(7): 995-1001.
[3]	贺敬婷, 应燕萍, 陆秋芳, 赵慧函, 刘丽颖, 马含章, 张程. 多模态数据在护理领域中应用的范围综述[J]. 中华护理杂志, 2026, 61(7): 1002-1008.
[4]	武玲, 吴波, 陈红, 古晨茜, 刘洋, 张春谨, 陈梦琪, 章青. 基于机器学习算法的成人术中低体温预测模型的范围综述[J]. 中华护理杂志, 2026, 61(6): 844-851.
[5]	陈静, 王君君, 魏晓琼, 何欢, 孙秋怡, 唐莹, 韩莹, 何华云. 运动干预在幼年特发性关节炎患儿中应用的范围综述[J]. 中华护理杂志, 2026, 61(6): 858-864.
[6]	温佳, 郭慧芳, 郭晶晶, 田云霞, 杨玥, 刘波. 维持性血液透析患者社会疏离感的范围综述[J]. 中华护理杂志, 2026, 61(5): 605-611.
[7]	旷婉, 祝敏, 胡露红. 简短的正念干预在围手术期患者中应用的范围综述[J]. 中华护理杂志, 2026, 61(5): 707-714.
[8]	陈丹露, 陈茹, 单亚维, 施春香, 沈中鸣. 远程医疗技术在全膝关节置换患者术后运动康复中应用的范围综述[J]. 中华护理杂志, 2026, 61(4): 467-474.
[9]	周鑫滢, 徐亦虹, 周丽萍, 宫晓艳, 叶欢, 刘晓娜, 庄一渝. 脑卒中患者性别差异与健康相关生活质量关系的范围综述[J]. 中华护理杂志, 2026, 61(4): 571-577.
[10]	张世纪, 田艳珍, 李金秀, 邓力邦, 张涛. 空巢老年糖尿病患者用药偏差影响因素分析[J]. 中华护理杂志, 2026, 61(3): 377-384.
[11]	南雪, 孔佳琦, 李亘钰, 齐晴晴, 刘子琦, 吴娅妮, 尹敏. 护理领域理论评价标准研究的范围综述[J]. 中华护理杂志, 2026, 61(3): 412-418.
[12]	徐怡琳, 金玲, 施慧芹, 祁海鸥, 顾开来, 黄敬英. 重症患者眼部并发症评估工具的范围综述[J]. 中华护理杂志, 2026, 61(11): 1564-1571.
[13]	代咏航, 邱小芩, 陈思帆, 邓钟燕, 刘娜, 丘欣雨, 谢镕蔓. 可穿戴运动传感设备在衰弱老年人运动康复中应用的范围综述[J]. 中华护理杂志, 2026, 61(10): 1427-1434.
[14]	汪婧颖, 罗雅婷, 贾思培, 甘港, 刘敏, 张秋香, 谢建飞. 数字健康干预在农村老年人抑郁管理中应用的范围综述[J]. 中华护理杂志, 2026, 61(1): 38-45.
[15]	任珍慧, 杜洁, 刘义婷, 李亚敏. 护士共情疲劳心理干预策略的范围综述[J]. 中华护理杂志, 2026, 61(1): 137-144.