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

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 (β₂ = -0.808, P < 0.001, β

SUBMITTER: Mirahmadizadeh A 

PROVIDER: S-EPMC9925215 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature