使用营养应用程序对慢性疾病患者行为改变的效果:卡塔尔世界杯8强波胆分析范围审查% Salas-Groves,艾米丽% Galyean,香农%一个Alcorn米歇尔%切尔德里斯,Allison % +营养学系,德州理工大学,阿克伦大街1301号,卢博克市,TX, 79409年,美国,1 8068342286,shannon.galyean@ttu.edu % K移动应用% K程序% K移动健康% K mHealth % K电子健康% K营养教育% K癌症% K肥胖% K糖尿病% K心血管疾病% K手机7 13.1.2023 2023% % D % 9审查% J JMIR mHealth Uhealth % G英语% X背景:心血管疾病、癌症、糖尿病和肥胖是常见的慢性疾病,其患病率在世界范围内已达到流行病水平。随着慢性病的影响不断增加,寻找改善护理、获得护理和增强患者权能的战略变得越来越重要。卫生保健提供者使用移动医疗(mHealth)访问临床信息、与护理团队协作、与患者进行远距离通信,并促进实时监测和干预。然而,这些应用程序专注于改善一般的医疗保健问题,有限的应用程序专注于特定的慢性疾病和疾病状态所涉及的营养。因此,关于移动健康应用程序对改变行为以改善慢性疾病结果的有效性的现有证据是有限的。目的:本范围综述的目的是概述使用移动健康营养干预措施对慢性疾病(即心血管疾病、糖尿病、癌症和肥胖症)患者的行为改变效果。我们进一步评估了用于行为改变的行为改变技术和理论或模型,如果有的话。方法:通过MEDLINE、EBSCO、PubMed、ScienceDirect和Scopus数据库的系统文献检索进行范围综述。 Studies were excluded from the review if they did not involve an app or nutrition intervention, were written in a language other than English, were duplicates from other database searches, or were literature reviews. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, the systematic review process included 4 steps: identification of records through the database search, screening of duplicate and excluded records, eligibility assessment of full-text records, and final analysis of included records. Results: In total, 46 studies comprising 256,430 patients were included. There was diversity in the chronic disease state, study design, number of participants, in-app features, behavior change techniques, and behavior models used in the studies. In addition, our review found that less than half (19/46, 41%) of the studies based their nutrition apps on a behavioral theory or its constructs. Of the 46 studies, 11 (24%) measured maintenance of health behavior change, of which 7 (64%) sustained behavior change for approximately 6 to 12 months and 4 (36%) showed a decline in behavior change or discontinued app use. Conclusions: The results suggest that mHealth apps involving nutrition can significantly improve health outcomes in people with chronic diseases. Tailoring nutrition apps to specific populations is recommended for effective behavior change and improvement of health outcomes. In addition, some studies (7/46, 15%) showed sustained health behavior change, and some (4/46, 9%) showed a decline in the use of nutrition apps. These results indicate a need for further investigation on the sustainability of the health behavior change effectiveness of disease-specific nutrition apps. %M 36637888 %R 10.2196/41235 %U https://mhealth.www.mybigtv.com/2023/1/e41235 %U https://doi.org/10.2196/41235 %U http://www.ncbi.nlm.nih.gov/pubmed/36637888
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