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本文引用的文献

1
Child-level evaluation of a web-based intervention to improve dietary guideline implementation in childcare centers: a cluster-randomized controlled trial.基于网络的干预措施改善儿童保健中心膳食指南实施的儿童水平评估:一项群组随机对照试验。
Am J Clin Nutr. 2020 Apr 1;111(4):854-863. doi: 10.1093/ajcn/nqaa025.
2
Effectiveness of a Web-Based Menu-Planning Intervention to Improve Childcare Service Compliance With Dietary Guidelines: Randomized Controlled Trial.基于网络的菜单规划干预措施对提高儿童保育服务符合饮食指南程度的有效性:随机对照试验
J Med Internet Res. 2020 Feb 4;22(2):e13401. doi: 10.2196/13401.
3
The NASSS Framework - A Synthesis of Multiple Theories of Technology Implementation.NASSS框架——多种技术实施理论的综合
Stud Health Technol Inform. 2019 Jul 30;263:193-204. doi: 10.3233/SHTI190123.
4
A randomized controlled trial to assess the potential efficacy, feasibility and acceptability of an m-health intervention targeting parents of school aged children to improve the nutritional quality of foods packed in the lunchbox 'SWAP IT'.一项随机对照试验评估了一项针对学龄儿童家长的移动健康干预措施的潜在效果、可行性和可接受性,该措施旨在改善午餐盒“SWAP IT”中包装食物的营养质量。
Int J Behav Nutr Phys Act. 2019 Jul 2;16(1):54. doi: 10.1186/s12966-019-0812-7.
5
The Implementation of an mHealth Intervention (ReZone) for the Self-Management of Overwhelming Feelings Among Young People.一项针对年轻人难以承受的情绪进行自我管理的移动健康干预措施(ReZone)的实施情况
JMIR Form Res. 2019 May 2;3(2):e11958. doi: 10.2196/11958.
6
Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.195 个国家 1990 年至 2017 年饮食风险对健康的影响:2017 年全球疾病负担研究的系统分析。
Lancet. 2019 May 11;393(10184):1958-1972. doi: 10.1016/S0140-6736(19)30041-8. Epub 2019 Apr 4.
7
Exploring the Challenges of Implementing a Web-Based Telemonitoring Strategy for Teenagers With Inflammatory Bowel Disease: Empirical Case Study.探索为炎症性肠病青少年实施基于网络的远程监测策略的挑战:实证案例研究。
J Med Internet Res. 2019 Mar 29;21(3):e11761. doi: 10.2196/11761.
8
Effectiveness of a dissemination strategy on the uptake of an online menu planning program: A controlled trial.传播策略对在线菜单规划程序采用率的影响:一项对照试验。
Health Promot J Austr. 2019 Dec;30 Suppl 1:20-25. doi: 10.1002/hpja.220. Epub 2018 Dec 1.
9
Challenges of Increasing Childcare Center Compliance With Nutrition Guidelines: A Randomized Controlled Trial of an Intervention Providing Training, Written Menu Feedback, and Printed Resources.提高儿童保健中心遵守营养指南的挑战:一项提供培训、书面菜单反馈和印刷资源的干预措施的随机对照试验。
Am J Health Promot. 2019 Mar;33(3):399-411. doi: 10.1177/0890117118786859. Epub 2018 Jul 13.
10
Barriers and Enablers to Implementation of Dietary Guidelines in Early Childhood Education Centers in Australia: Application of the Theoretical Domains Framework.澳大利亚幼儿教育中心实施膳食指南的障碍和促进因素:理论领域框架的应用。
J Nutr Educ Behav. 2018 Mar;50(3):229-237.e1. doi: 10.1016/j.jneb.2017.09.023. Epub 2017 Nov 21.

采用数字健康干预措施支持幼儿教育和保育中饮食指南实施的障碍和促进因素:横断面研究。

Barriers and Enablers to Adoption of Digital Health Interventions to Support the Implementation of Dietary Guidelines in Early Childhood Education and Care: Cross-Sectional Study.

机构信息

School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.

Population Health, Hunter New England Local Health District, Wallsend, Australia.

出版信息

J Med Internet Res. 2020 Nov 20;22(11):e22036. doi: 10.2196/22036.

DOI:10.2196/22036
PMID:33216005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7718087/
Abstract

BACKGROUND

Few Australian childcare centers provide foods consistent with sector dietary guidelines. Digital health technologies are a promising medium to improve the implementation of evidence-based guidelines in the setting. Despite being widely accessible, the population-level impact of such technologies has been limited due to the lack of adoption by end users.

OBJECTIVE

This study aimed to assess in a national sample of Australian childcare centers (1) intentions to adopt digital health interventions to support the implementation of dietary guidelines, (2) reported barriers and enablers to the adoption of digital health interventions in the setting, and (3) barriers and enablers associated with high intentions to adopt digital health interventions.

METHODS

A cross-sectional telephone or online survey was undertaken with 407 childcare centers randomly sampled from a publicly available national register in 2018. Center intentions to adopt new digital health interventions to support dietary guideline implementation in the sector were assessed, in addition to perceived individual, organizational, and contextual factors that may influence adoption based on seven subdomains within the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) of health and care technologies framework. A multiple-variable linear model was used to identify factors associated with high intentions to adopt digital health interventions.

RESULTS

Findings indicate that 58.9% (229/389) of childcare centers have high intentions to adopt a digital health intervention to support guideline implementation. The changes needed in team interactions subdomain scored lowest, which is indicative of a potential barrier (mean 3.52, SD 1.30), with organization's capacity to innovate scoring highest, which is indicative of a potential enabler (mean 5.25, SD 1.00). The two NASSS subdomains of ease of the adoption decision (P<.001) and identifying work and individuals involved in implementation (P=.001) were significantly associated with high intentions to adopt digital health interventions.

CONCLUSIONS

A substantial proportion of Australian childcare centers have high intentions to adopt new digital health interventions to support dietary guideline implementation. Given evidence of the effectiveness of digital health interventions, these findings suggest that such an intervention may make an important contribution to improving public health nutrition in early childhood.

摘要

背景

在澳大利亚的儿童保育中心,很少有机构提供符合行业饮食指南的食物。数字健康技术是一种很有前途的媒介,可以改善该环境下循证指南的实施。尽管这些技术广泛普及,但由于最终用户采用率低,其对人群的影响有限。

目的

本研究旨在对澳大利亚全国范围内的儿童保育中心(1)采用数字健康干预措施以支持饮食指南实施的意向进行评估,(2)报告该环境下采用数字健康干预措施的障碍和促进因素,以及(3)与高采用数字健康干预措施意向相关的障碍和促进因素。

方法

2018 年,采用横断面电话或在线调查的方式,对从公开的全国性登记册中随机抽取的 407 家儿童保育中心进行了调查。评估中心采用新的数字健康干预措施支持该行业饮食指南实施的意向,以及基于健康和护理技术非采用、放弃、扩展、传播和可持续性(NASSS)框架内的七个子领域的个人、组织和背景因素,这些因素可能影响采用情况。采用多变量线性模型确定与高数字健康干预措施采用意向相关的因素。

结果

结果表明,58.9%(229/389)的儿童保育中心有很高的意向采用数字健康干预措施来支持指南的实施。团队互动子领域所需的变化最低,这表明可能存在障碍(平均 3.52,SD 1.30),组织的创新能力最高,这表明可能存在促进因素(平均 5.25,SD 1.00)。NASSS 框架中的两个子领域,即采用决策的便利性(P<.001)和确定实施工作和相关人员(P=.001),与采用数字健康干预措施的高意向显著相关。

结论

澳大利亚的儿童保育中心有很大一部分有很高的意向采用新的数字健康干预措施来支持饮食指南的实施。鉴于数字健康干预措施的有效性证据,这些发现表明,此类干预措施可能对改善儿童早期公共卫生营养状况做出重要贡献。