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Factors associated with the utilization of diagnostic tools among countries with different income levels during the COVID-19 pandemic

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Global Health Research and Policy 2023年第1期8卷 78-86页

作者： Shuduo Zhou Xiangning Feng Yunxuan Hu Jian Yang Ying Chen jon bastow Zhi-Jie Zheng Ming Xu Department of Global Health School of Public HealthPeking University38 Xue Yuan RoadHaidian DistrictBeijing 100191China Institute for Global Health and Development Peking UniversityBeijingChina Independent Diagnostics and Health Systems Expert GenevaSwitzerland

Background Disparities in the utilization of essential medical products are a key factor contributing to inequality in health *** aimed to analyze the trends and influencing factors in using Coronavirus disease 2019(COVID-19)diagnostic tools and disparities in countries with different income *** We conducted a cross-sectional study using open and publicly available data *** were mainly collected from the Foundation for Innovative New Diagnostics,"Our World in Data,"and the Global Burden of Disease *** binomial regression model and generalized linear mixed model were employed to investigate into five sets of factors associated with the usage of diagnostics:severity of COVID-19,socioeconomic status,health status,medical service capacity,and rigidity of *** analysis was utilized to compare the relative importance of these *** Blinder-Oaxaca decomposition was used to decompose the difference in the usage of diagnostics between *** The total COVID-19 testing rate ranged from 5.13 to 22,386.63 per 1000 people from March 2020 to October 2022 and the monthly testing rate declined dramatically from January 2022 to October 2022(52.37/1000 vs 5.91/1000)..The total testing rate was primarily associated with socioeconomic status(37.84%),with every 1 standard deviation(SD)increase in Gross Domestic Product per capita and the proportion of people aged≥70,the total testing rate increased by 88%and 31%.And so is the medical service capacity(33.66%),with every 1 SD increase in health workforce density,the number increased by 38%.The monthly testing rate was primarily associated with socioeconomic status(34.72%)and medical service capacity(28.67%),and the severity of COVID-19(21.09%).The average difference in the total testing rates between high-income and low-income countries was 2726.59 per 1000 people,and 2493.43(91.45%)of the differences could be explained through the five sets of *** R

关键词： Diagnostic tools Utilization Disparity COVID-19 Pandemic

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