Russell Lahiru, Ugalde Anna, Milne Donna, Austin David, Livingston Patricia M
School of Nursing and Midwifery, Deakin University, Geelong, Australia.
Melanoma and Skin Services, Peter MacCallum Cancer Center, Melbourne, Australia.
JMIR Ment Health. 2018 Aug 21;5(3):e53. doi: 10.2196/mental.9645.
Internet-supported mindfulness-based interventions (MBIs) are increasingly being used to support people with a chronic condition. Characteristics of MBIs vary greatly in their mode of delivery, communication patterns, level of facilitator involvement, intervention period, and resource intensity, making it difficult to compare how individual digital features may optimize intervention adherence and outcomes.
The aims of this review were to (1) provide a description of digital characteristics of internet-supported MBIs and examine how these relate to evidence for efficacy and adherence to the intervention and (2) gain insights into the type of information available to inform translation of internet-supported MBIs to applied settings.
MEDLINE Complete, PsycINFO, and CINAHL databases were searched for studies assessing an MBI delivered or accessed via the internet and engaging participants in daily mindfulness-based activities such as mindfulness meditations and informal mindfulness practices. Only studies using a comparison group of alternative interventions (active compactor), usual care, or wait-list were included. Given the broad definition of chronic conditions, specific conditions were not included in the original search to maximize results. The search resulted in 958 articles, from which 11 articles describing 10 interventions met the inclusion criteria.
Internet-supported MBIs were more effective than usual care or wait-list groups, and self-guided interventions were as effective as facilitator-guided interventions. Findings were informed mainly by female participants. Adherence to interventions was inconsistently defined and prevented robust comparison between studies. Reporting of factors associated with intervention dissemination, such as population representativeness, program adoption and maintenance, and costs, was rare.
More comprehensive descriptions of digital characteristics need to be reported to further our understanding of features that may influence engagement and behavior change and to improve the reproducibility of MBIs. Gender differences in determinants and patterns of health behavior should be taken into account at the intervention design stage to accommodate male and female preferences. Future research could compare MBIs with established evidence-based therapies to identify the population groups that would benefit most from internet-supported programs.
PROSPERO CRD42017078665; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=78665 (Archived by WebCite at http://www.webcitation.org/71ountJpu).
基于互联网支持的正念干预措施(MBIs)越来越多地被用于帮助患有慢性疾病的人群。MBIs的特点在其交付方式、沟通模式、促进者参与程度、干预周期和资源强度等方面差异很大,这使得很难比较各个数字特征如何优化干预的依从性和效果。
本综述的目的是(1)描述基于互联网支持的MBIs的数字特征,并研究这些特征与干预效果和依从性证据之间的关系;(2)深入了解可用于将基于互联网支持的MBIs转化为应用场景的信息类型。
检索MEDLINE Complete、PsycINFO和CINAHL数据库,查找评估通过互联网提供或获取的MBI并让参与者参与日常基于正念的活动(如正念冥想和非正式正念练习)的研究。仅纳入使用替代干预措施(积极对照)、常规护理或等待名单作为比较组的研究。鉴于慢性病的定义广泛,原始搜索中未纳入特定疾病以最大化结果。搜索结果为958篇文章,其中11篇描述10种干预措施的文章符合纳入标准。
基于互联网支持的MBIs比常规护理或等待名单组更有效,自我指导干预与促进者指导干预效果相同。研究结果主要来自女性参与者。对干预依从性的定义不一致,阻碍了不同研究之间的有力比较。很少有研究报告与干预传播相关的因素,如人群代表性、项目采用和维持情况以及成本。
需要报告更全面的数字特征描述,以加深我们对可能影响参与度和行为改变的特征的理解,并提高MBIs的可重复性。在干预设计阶段应考虑健康行为决定因素和模式中的性别差异,以适应男性和女性的偏好。未来的研究可以将MBIs与已确立的循证疗法进行比较,以确定最能从基于互联网支持的项目中受益的人群组。
PROSPERO CRD42017078665;https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=78665(由WebCite存档于http://www.webcitation.org/71ountJpu)