信息和通信技术促进儿童疾病综合管理的实施:系统回顾与元分析

Andrea Bernasconi MD, MSc , Marco Landi MSc , Clarence S. Yah PhD , Marianne A.B. van der Sande PhD
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引用次数: 0

摘要

目的通过系统综述和荟萃分析(PROSPERO 注册号:CRD42024517375)评估信息与通信技术(ICT)对实施儿童疾病综合管理(IMCI)和社区病例综合管理(iCCM)的影响。方法我们检索了 2010 年 1 月至 2024 年 2 月期间的 MEDLINE、EMBASE、Cochrane Library 和灰色文献,重点关注 IMCI/iCCM 相关术语(儿童疾病综合管理,IMCI,综合社区个案管理,iCCM),并排除了非信息和通信技术干预措施。一项荟萃分析通过采用随机效应模型的显著异质性(I2>50%)和进行亚组分析的几率比(OR; 95% CI),综合了信息通信技术对临床评估、疾病分类、治疗和抗生素处方的影响。除 1 项研究外,所有数字干预方法的效果均优于传统的纸质方法。汇总 16 项研究的效应大小后发现,临床评估更完整的效应为 5.7 OR(95% CI,1.7-19.1;I2,95%);疾病分类准确性提高的效应为 2.0 OR(95% CI,0.9-4.4;I2,93%);治疗更恰当的效应为 1.4 OR(95% CI,0.8-2.2;I2,93%);抗生素使用减少的效应为 0.2 OR(95% CI,0.9-4.4;I2,93%)。结论本综述首次全面量化了信息和通信技术对实施儿童疾病综合管理/儿童疾病综合管理项目的影响,证实了这些技术的益处和局限性。为儿童疾病综合管理/儿童疾病综合管理定制数字工具可作为其他健康计划的典范。随着信息和通信技术越来越多地支持可持续发展目标的实现,本综述中确定的有效数字干预措施可为未来的创新铺平道路。
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Information and Communication Technology to Enhance the Implementation of the Integrated Management of Childhood Illness: A Systematic Review and Meta-Analysis

Objective

To evaluate the impact of Information and Communication Technology (ICT) on the implementation of Integrated Management of Childhood Illness (IMCI) and integrated Community Case Management (iCCM) through a systematic review and meta-analysis (PROSPERO registration number: CRD42024517375).

Methods

We searched MEDLINE, EMBASE, Cochrane Library, and gray literature from January 2010 to February 2024, focusing on IMCI/iCCM-related terms (Integrated Management of Childhood Illness, IMCI, integrated Community Case Management, iCCM) and excluding non-ICT interventions. A meta-analysis synthesized the effect of ICT on clinical assessment, disease classification, therapy, and antibiotic prescription through odds ratio (OR; 95% CI) employing a random effects model for significant heterogeneity (I2>50%) and conducting subgroup analyses.

Results

Of 1005 initial studies, 44 were included, covering 8 interventions for IMCI, 7 for iCCM, and 2 for training. All digital interventions except 1 outperformed traditional paper-based methods. Pooling effect sizes from 16 studies found 5.7 OR for more complete clinical assessments (95% CI, 1.7-19.1; I2, 95%); 2.0 for improved disease classification accuracy (95% CI, 0.9-4.4; I2, 93%); 1.4 for more appropriate therapy (95% CI, 0.8-2.2; I2, 93%); and 0.2 for reduced antibiotic use (95% CI, 0.06-0.55; I2 99%).

Conclusion

This review is the first to comprehensively quantify the effect of ICT on the implementation of IMCI/iCCM programs, confirming both the benefits and limitations of these technologies. The customization of digital tools for IMCI/iCCM can serve as a model for other health programs. As ICT increasingly supports the achievement of sustainable development goals, the effective digital interventions identified in this review can pave the way for future innovations.

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来源期刊
Mayo Clinic Proceedings. Digital health
Mayo Clinic Proceedings. Digital health Medicine and Dentistry (General), Health Informatics, Public Health and Health Policy
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