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澳大利亚糖尿病数据关联文献的综合系统评价

A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia.

机构信息

Health Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.

Department of Pharmacology, Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen University, Thai Nguyen, Vietnam.

出版信息

Front Public Health. 2022 May 25;10:757987. doi: 10.3389/fpubh.2022.757987. eCollection 2022.

DOI:10.3389/fpubh.2022.757987
PMID:35692316
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9174992/
Abstract

AIMS

Our study aimed to identify the common themes, knowledge gaps and to evaluate the quality of data linkage research on diabetes in Australia.

METHODS

This systematic review was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (the PRISMA Statement). Six biomedical databases and the Australian Population Health Research Network (PHRN) website were searched. A narrative synthesis was conducted to comprehensively identify the common themes and knowledge gaps. The guidelines for studies involving data linkage were used to appraise methodological quality of included studies.

RESULTS

After screening and hand-searching, 118 studies were included in the final analysis. Data linkage publications confirmed negative health outcomes in people with diabetes, reported risk factors for diabetes and its complications, and found an inverse association between primary care use and hospitalization. Linked data were used to validate data sources and diabetes instruments. There were limited publications investigating healthcare expenditure and adverse drug reactions (ADRs) in people with diabetes. Regarding methodological assessment, important information about the linkage performed was under-reported in included studies.

CONCLUSIONS

In the future, more up to date data linkage research addressing costs of diabetes and its complications in a contemporary Australian setting, as well as research assessing ADRs of recently approved antidiabetic medications, are required.

摘要

目的

本研究旨在确定澳大利亚糖尿病数据链接研究的常见主题、知识空白,并评估其数据质量。

方法

本系统评价按照系统评价和荟萃分析的首选报告项目(PRISMA 声明)制定。我们检索了六个生物医学数据库和澳大利亚人口健康研究网络(PHRN)网站。通过叙述性综合分析全面确定常见主题和知识空白。我们使用了涉及数据链接研究的指南来评估纳入研究的方法学质量。

结果

经过筛选和手工检索,最终有 118 项研究纳入了最终分析。数据链接出版物证实了糖尿病患者的不良健康后果,报告了糖尿病及其并发症的风险因素,并发现初级保健使用与住院之间存在反比关系。使用关联数据验证了数据源和糖尿病工具。关于医疗保健支出和糖尿病患者不良反应(ADR)的研究较少。关于方法学评估,纳入研究中报告的有关链接执行的重要信息不足。

结论

未来需要更及时的最新数据链接研究来解决当代澳大利亚的糖尿病及其并发症成本问题,以及评估最近批准的抗糖尿病药物不良反应的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/bc1b931e7bc7/fpubh-10-757987-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/8b497821383b/fpubh-10-757987-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/670f1de26467/fpubh-10-757987-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/fa44bda94a59/fpubh-10-757987-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/bc1b931e7bc7/fpubh-10-757987-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/8b497821383b/fpubh-10-757987-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/670f1de26467/fpubh-10-757987-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/fa44bda94a59/fpubh-10-757987-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4052/9174992/bc1b931e7bc7/fpubh-10-757987-g0004.jpg

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