针对外伤性牙齿损伤的移动医疗应用程序是否有效?系统回顾其对诊断、预防、管理和教育的影响。

T Walia, M S Muthu, A Saikia, R M Shetty, R P Anthonappa
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引用次数: 0

摘要

目的:移动医疗(mHealth)应用程序(app)已成为加强临床决策、知识传播和创伤性牙齿损伤(TDIs)主动护理的强大工具。本系统综述旨在整理和评估移动应用程序在(1)诊断、(2)预防、(3)管理和(4)tdi教育方面有用性的现有证据。方法:本综述审查了2012年1月至2024年8月期间发表的研究,重点关注随机对照试验(rct)、临床试验、队列研究和横断面研究,这些研究评估了移动健康应用程序在TDI护理管理中的有效性。采用Cochrane风险偏倚工具2.0 (rct)和改进的纽卡斯尔-渥太华量表(横断面研究)评估研究质量。GRADE方法用于评估证据的确定性。结果:16项研究符合纳入标准,包括12项横断面研究和4项随机对照试验。横断面研究主要评估知识的提高,而随机对照试验侧重于技能的发展和实际应用。质量评估显示出值得注意的方法问题。由于随机化不足、缺乏盲法和受试者流失,所有4项随机对照试验均被评为高风险偏倚。根据GRADE方法,证据的总体确定性被判定为非常低。结论:尽管诸如ToothSOS、Dental Trauma和Injured Tooth等移动健康应用程序有望提高与tdi相关的知识和决策,但证据受到高偏倚风险和低质量的限制。未来的研究应注重严格的随机对照试验,并探索人工智能的整合,以提高有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are mobile health applications for traumatic dental injuries effective? A systematic review of their impact on diagnosis, prevention, management, and education.

Purpose: Mobile health (mHealth) applications (apps) have emerged as powerful tools for enhancing clinical decision-making, knowledge dissemination, and proactive care in traumatic dental injuries (TDIs). This systematic review aims to collate and assess the available evidence on the usefulness of mobile apps in (1) diagnosis, (2) prevention, (3) management, and (4) education of TDIs.

Methods: This review examined studies published between January 2012 and August 2024, focusing on randomised controlled trials (RCTs), clinical trials, cohort studies, and cross-sectional studies that assessed the effectiveness of mobile health apps in the management of TDI care. Study quality was assessed using the Cochrane Risk of Bias Tool 2.0 for RCTs and the modified Newcastle-Ottawa Scale for cross-sectional studies. The GRADE approach was used to assess the certainty of the evidence.

Results: Sixteen studies met the inclusion criteria, including 12 cross-sectional studies and 4 RCTs. The cross-sectional studies primarily assessed knowledge improvement, while the RCTs focused on skill development and practical applications. Quality assessments indicated notable methodological concerns. All four RCTs were rated as high risk of bias due to inadequate randomisation, lack of blinding, and participant attrition. According to the GRADE approach, the overall certainty of the evidence was judged to be very low.

Conclusion: While mobile health applications such as ToothSOS, Dental Trauma, and Injured Tooth show promise in improving knowledge and decision-making related to TDIs, the evidence is limited by high risk of bias and low quality. Future studies should focus on rigorous RCTs and explore AI integration to enhance effectiveness.

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