数字化和超竞争研究文化时代的高效和有效的糖尿病护理:西太平洋地区以马来西亚为例的重点回顾。

Health systems and reform Pub Date : 2025-12-31 Epub Date: 2025-01-06 DOI:10.1080/23288604.2024.2417788
Boon-How Chew, Pauline Siew Mei Lai, Dhashani A/P Sivaratnam, Nurul Iftida Basri, Geeta Appannah, Barakatun Nisak Mohd Yusof, Subashini C Thambiah, Zubaidah Nor Hanipah, Ping-Foo Wong, Li-Cheng Chang
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引用次数: 0

摘要

在西太平洋地区(WP),大约有2.2亿(约12%的地区患病率)成年人患有糖尿病(DM)及其相关并发症,并有意或无意地发病。2021年和2017年,菲律宾和马来西亚的估计医疗成本分别为2400亿美元和10亿美元,造成了无法衡量的痛苦和卫生质量和经济生产力的损失。这迫切需要所有利益攸关方采取协调一致的预防措施,投资于转变医疗保健专业人员和改革医疗保健系统,优先考虑初级医疗保健设置,赋予专职医疗人员权力,为医疗保健提供者建立临时卫生组织,改善糖尿病患者的医疗设施和非医疗支持。本文暗示了最佳糖尿病护理方面的挑战,并在详细的5年路线图中提出了基于证据的倡议,以提供动态和高效的医疗服务,有效地管理糖尿病患者,并将马来西亚作为案例研究,以供其他具有类似背景和问题的国家参考。这包括对糖尿病临床研究概况的扫描,研究不当行为的维度和范围,整个研究过程中可能存在的共同偏见,关键的预防策略,实施和对高质量研究的限制。最后,还讨论了数字医学和人工智能如何有助于糖尿病护理和研究中的开放科学实践。
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Efficient and Effective Diabetes Care in the Era of Digitalization and Hypercompetitive Research Culture: A Focused Review in the Western Pacific Region with Malaysia as a Case Study.

There are approximately 220 million (about 12% regional prevalence) adults living with diabetes mellitus (DM) with its related complications, and morbidity knowingly or unconsciously in the Western Pacific Region (WP). The estimated healthcare cost in the WP and Malaysia was 240 billion USD and 1.0 billion USD in 2021 and 2017, respectively, with unmeasurable suffering and loss of health quality and economic productivity. This urgently calls for nothing less than concerted and preventive efforts from all stakeholders to invest in transforming healthcare professionals and reforming the healthcare system that prioritizes primary medical care setting, empowering allied health professionals, improvising health organization for the healthcare providers, improving health facilities and non-medical support for the people with DM. This article alludes to challenges in optimal diabetes care and proposes evidence-based initiatives over a 5-year period in a detailed roadmap to bring about dynamic and efficient healthcare services that are effective in managing people with DM using Malaysia as a case study for reference of other countries with similar backgrounds and issues. This includes a scanning on the landscape of clinical research in DM, dimensions and spectrum of research misconducts, possible common biases along the whole research process, key preventive strategies, implementation and limitations toward high-quality research. Lastly, digital medicine and how artificial intelligence could contribute to diabetes care and open science practices in research are also discussed.

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