Mooney Jan, Dahl Alicia A
Department of Psychological Science, College of Liberal Arts and Sciences, University of North Carolina at Charlotte, Charlotte, NC, United States.
Department of Public Health Sciences, College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC, United States.
JMIR Res Protoc. 2023 Oct 26;12:e50145. doi: 10.2196/50145.
Gestational weight gain (GWG) exceeding the recommendations of the Institute of Medicine (in the United States) is associated with numerous adverse maternal and infant health outcomes. While many behavioral interventions targeting nutrition and physical activity have been developed to promote GWG within the Institute of Medicine guidelines, engagement and results are variable. Technology-mediated interventions can potentially increase the feasibility, acceptability, and reach of interventions, particularly for pregnant women, for whom integration of interventions into daily life may be critical to retention and adherence. Previous reviews highlight GWG self-monitoring as a common intervention component, and emerging work has begun to integrate digital self-monitoring into technology-mediated interventions. With rapid advances in technology-mediated interventions, a focused synthesis of literature examining the role of digital self-monitoring tools in managing GWG is warranted to guide clinical practice and inform future studies.
The proposed review aims to synthesize the emerging research base evaluating digital GWG self-monitoring interventions, primarily focusing on whether the intervention is effective in managing GWG. Depending on the characteristics of the included research, secondary focus areas will comprise intervention recruitment and retention, feasibility, acceptability, and differences between stand-alone and multicomponent interventions.
This protocol was developed following the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines for systematic review protocols. The proposed review would use a planned and systematic approach to identify, evaluate, and synthesize relevant and recent empirical quantitative studies (reported in English) examining the use of digital weight self-monitoring tools in the context of technology-mediated interventions to manage GWG in pregnant US adults, with at least 2 instances of data collection. Literature eligible for inclusion will have a publication date between January 2010 and July 2020. The Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies will be used to assess the methodological quality of included studies across various domains, and results will be synthesized and summarized per the synthesis without meta-analysis guidelines.
The initial queries of 1150 records have been executed and papers have been screened for inclusion. Data extractions are expected to be finished by December 2023. Results are expected in 2024. The systematic review that will be generated from this protocol will offer evidence for the use of digital self-monitoring tools in the management of GWG.
The planned, focused synthesis of relevant literature has the potential to inform the use of digital weight self-monitoring tools in the context of future technology-mediated interventions to manage GWG. In addition, the planned review has the potential to contribute as part of a broader movement in research toward empirically supporting the inclusion of specific components within more extensive, multicomponent interventions to balance parsimony and effectiveness.
PROSPERO CRD42020204820; https://tinyurl.com/ybzt6bvr.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/50145.
孕期体重增加(GWG)超过美国医学研究所的建议与众多不良母婴健康结局相关。虽然已经开发了许多针对营养和身体活动的行为干预措施,以促进孕期体重增加符合医学研究所的指南,但参与度和效果各不相同。技术介导的干预措施可能会提高干预措施的可行性、可接受性和覆盖面,特别是对于孕妇而言,将干预措施融入日常生活对于保持参与度和依从性可能至关重要。以往的综述强调孕期体重自我监测是常见的干预组成部分,并且新出现的研究已开始将数字自我监测纳入技术介导的干预措施中。随着技术介导的干预措施迅速发展,有必要对研究数字自我监测工具在孕期体重管理中作用的文献进行集中综合分析,以指导临床实践并为未来研究提供信息。
拟进行的综述旨在综合评估数字孕期体重自我监测干预措施的新兴研究基础,主要关注该干预措施在孕期体重管理中是否有效。根据纳入研究的特征,次要关注领域将包括干预措施的招募和留存、可行性、可接受性,以及单一成分干预措施和多成分干预措施之间的差异。
本方案是根据系统评价方案的PRISMA-P(系统评价和Meta分析方案的首选报告项目)指南制定的。拟进行的综述将采用有计划的系统方法,识别、评估和综合相关的近期实证定量研究(以英文报道),这些研究考察了在美国成年孕妇中,数字体重自我监测工具在技术介导的干预措施背景下用于孕期体重管理的情况,且至少有2次数据收集。符合纳入标准的文献发表日期在2010年1月至2020年7月之间。将使用定量研究的有效公共卫生实践项目质量评估工具,评估纳入研究在各个领域的方法学质量,并根据综合分析而非Meta分析指南对结果进行综合和总结。
已对1150条记录进行了初步查询,并对论文进行了纳入筛选。数据提取预计在2023年12月完成。结果预计在2024年得出。本方案将生成的系统评价将为数字自我监测工具在孕期体重管理中的应用提供证据。
计划中的相关文献集中综合分析有可能为数字体重自我监测工具在未来技术介导的孕期体重管理干预措施中的应用提供信息。此外,计划中的综述有可能作为研究领域更广泛运动的一部分做出贡献,该运动旨在通过实证支持在更广泛的多成分干预措施中纳入特定成分,以平衡简约性和有效性。
PROSPERO CRD42020204820;https://tinyurl.com/ybzt6bvr。
国际注册报告识别号(IRRID):PRR1-10.2196/50145。