Milne-Ives Madison, Burns Lorna, Swancutt Dawn, Calitri Raff, Ananthakrishnan Ananya, Davis Helene, Pinkney Jonathan, Tarrant Mark, Meinert Edward
Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, PL4 6DN, UK.
Int J Obes (Lond). 2025 Apr;49(4):564-577. doi: 10.1038/s41366-024-01669-2. Epub 2024 Nov 19.
Long wait times, limited resources, and a lack of local options mean that many people with severe obesity cannot access treatment. Face-to-face group-based interventions have been found effective and can treat multiple people simultaneously, but are limited by service capacity. Digital group interventions could reduce wait times, but research on their effectiveness is limited. This systematic review aimed to examine the literature about online group-based interventions for adults with severe obesity (BMI ≥ 35 kg/m). The review followed the PRISMA and PICOS frameworks. MEDLINE, Embase, CINAHL, Web of Science, and Cochrane Central Register of Controlled Trials were searched. Two authors independently screened articles. Data extraction, analysis, and quality assessment (using RoB2 and MMAT) was shared between two authors. A meta-analysis was conducted on eligible studies; other results were descriptively analysed. 20 papers reporting on 15 studies were included. Most studies reported some evidence of weight loss, but evidence of weight-related behaviour change was mixed. A meta-analysis on four studies indicated that online, group-based interventions had a statistically significant impact on weight loss (p = 0.001; 95% CI -0.69 to -0.17) with a small-to-moderate effect size, compared to waitlist or standard care conditions. Online interventions were considered more convenient but lack of familiarity with the group or counsellor, accessibility issues, and time constraints hindered engagement. Technical support, incentives, and interactive forums to improve group cohesion could mitigate these barriers. The findings suggested that online, group-based interventions are feasible and potentially beneficial, but barriers such as internet accessibility, digital literacy, and unfamiliarity with group members need to be mitigated. Key recommendations to improve experience and impact include providing instructions and run-throughs, building group cohesion, and providing session and additional content throughout the intervention. Future studies should focus on the influence of specific intervention characteristics and investigate the effect of these interventions compared to face-to-face interventions. Registration: National Institute for Health Research, PROSPERO CRD42021227101; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021227101 .
等待时间长、资源有限以及当地治疗选择匮乏,这意味着许多重度肥胖患者无法获得治疗。基于面对面小组的干预措施已被证明有效,且能同时治疗多名患者,但受服务能力限制。数字小组干预措施可以缩短等待时间,但其有效性的研究有限。本系统综述旨在研究有关针对重度肥胖成年人(体重指数≥35kg/m²)的在线小组干预措施的文献。该综述遵循PRISMA和PICOS框架。检索了MEDLINE、Embase、CINAHL、Web of Science和Cochrane对照试验中央注册库。两位作者独立筛选文章。两位作者共同进行数据提取、分析和质量评估(使用RoB2和MMAT)。对符合条件的研究进行荟萃分析;对其他结果进行描述性分析。纳入了20篇报告15项研究的论文。大多数研究报告了一些体重减轻的证据,但与体重相关的行为变化证据不一。对四项研究的荟萃分析表明,与等待名单或标准护理条件相比,基于在线小组的干预措施对体重减轻有统计学显著影响(p = 0.001;95%置信区间-0.69至-0.17),效应大小为小到中等。在线干预措施被认为更方便,但对小组或咨询师不熟悉、可及性问题以及时间限制阻碍了参与。技术支持、激励措施以及改善小组凝聚力的互动论坛可以减轻这些障碍。研究结果表明,基于在线小组的干预措施是可行的,且可能有益,但诸如互联网可及性、数字素养以及对小组成员不熟悉等障碍需要得到缓解。改善体验和影响的关键建议包括提供指导和演练、建立小组凝聚力以及在整个干预过程中提供课程和额外内容。未来的研究应关注特定干预特征的影响,并研究这些干预措施与面对面干预措施相比的效果。注册信息:英国国家卫生研究院,PROSPERO CRD42021227101;https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021227101 。