The effect of COVID-19 pandemic on diabetes care indices in Southern Iran: an interrupted time series analysis

COVID-19疫情对伊朗南部糖尿病护理指标的影响:一项中断时间序列分析

阅读:2

Abstract

BACKGROUND: Type 2 diabetes mellitus (T2DM) requires a continues bulk of cares. It is very probable COVID-19 pandemic is affected its healthcare coverage. METHODS: The interrupted time series analysis is used to model the trend of diabetes healthcare indices, such as the health worker visits, physician visits, body mass index (MBI), fasting blood sugar (FBS), and hemoglobin A1c (HbA1c), before and after the start of COVID-19 pandemic. The reference of data was the totals of all T2DM patients living in Fars Province, Southern Iran, areas covered by Shiraz University of Medical Science (SUMS), from 2019 to 2020. RESULTS: A significant decrease for visits by the health workers, and physicians was observed by starting COVID-19 pandemic (β(2) = -0.808, P < 0.001, β(2) = -0.560, P < 0.001); Nevertheless, the coverage of these services statistically increased by next months (β(3) = 0.112, P < 0.001, β(3) = 0.053, P < 0.001). A same pattern was observed for the number of BMI, FBS and HbA1c assessments, and number of refer to hospital emergency wards (β(3) = 0.105, P < 0.001; β(3) = 0.076, P < 0.001; β(3) = 0.022, P < 0.001; β(3) = 0.106, P < 0.001). The proportion of T2DM patients with HbA1C < 7%, and controlled hypertension during study period was statistically unchanged. CONCLUSIONS: When the COVID-19 pandemic was announced, T2DM healthcare coverage drastically decreased, but it quickly began to rebound. The health monitoring system could not have any noticeable effects on diabetes outcomes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。