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Does Telemedicine Reduce health disparities? Longitudinal Evidence during the COVID-19 Pandemic in the US
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Objective
The COVID-19 pandemic could be a significant health issue for the elderly population and those with pre-excising chronic condition. In response to the pandemic health care services have increased the use of telehealth medicine. The propose of this study is to examine factors associated with access to telemedicine before and after COVID-19 based on sociodemographic factors and type of chronic disease.
Method
We have used data from the Research and Development Survey (RANDS) at two different time points Data collection for the first wave occurred between June 9, 2020 and July 6, 2020 (n= 6786), second wave was between August 3, 2020 and August 20, 2020 (n=5972). Three questions have been asked from the participant: 1) did the provider offer telemedicine before the pandemic? 2) does the provider offer telemedicine during the pandemic? And 3) have the participants schedule telemedicine appointments?
Result
In both waves, 62 % of the participants reported providers did not have telemedicine services prior to the COVID-19 pandemic. However, we found a 22% increase in offering telemedicine in six first month of the COVID-19 pandemic. The finding shows almost no change in providing telemedicine between June and August. The data indicates just a 0.5% and 0.1% increase in accessing telemedicine, and scheduling in August than June, respectively. Patients older than 65 had higher access to telemedicine and had higher scheduling frequencies than other age groups, while they had the lowest access prior to the COVID-19. Blacks had the highest access to telemedicine services than other races (40%). Additionally, females, higher education, and living in metropolitan areas were associated with higher access and scheduling during the pandemic. There was a variation of access and scheduling in different chronic diseases, however, providers offered more remote services for those who diagnosed by diabetes.
Conclusion
The aim of telemedicine is to reduce disparities in healthcare access. The findings of this study show telemedicine has reduced racial disparities and provided greater accessibility for older groups. However, spatial and educational disparities are still noticeable. Research is necessary to examine how healthcare must address the socioeconomic heterogeneity in telemedicine by avoiding further disparities.
Title: Does Telemedicine Reduce health disparities? Longitudinal Evidence during the COVID-19 Pandemic in the US
Description:
Objective
The COVID-19 pandemic could be a significant health issue for the elderly population and those with pre-excising chronic condition.
In response to the pandemic health care services have increased the use of telehealth medicine.
The propose of this study is to examine factors associated with access to telemedicine before and after COVID-19 based on sociodemographic factors and type of chronic disease.
Method
We have used data from the Research and Development Survey (RANDS) at two different time points Data collection for the first wave occurred between June 9, 2020 and July 6, 2020 (n= 6786), second wave was between August 3, 2020 and August 20, 2020 (n=5972).
Three questions have been asked from the participant: 1) did the provider offer telemedicine before the pandemic? 2) does the provider offer telemedicine during the pandemic? And 3) have the participants schedule telemedicine appointments?
Result
In both waves, 62 % of the participants reported providers did not have telemedicine services prior to the COVID-19 pandemic.
However, we found a 22% increase in offering telemedicine in six first month of the COVID-19 pandemic.
The finding shows almost no change in providing telemedicine between June and August.
The data indicates just a 0.
5% and 0.
1% increase in accessing telemedicine, and scheduling in August than June, respectively.
Patients older than 65 had higher access to telemedicine and had higher scheduling frequencies than other age groups, while they had the lowest access prior to the COVID-19.
Blacks had the highest access to telemedicine services than other races (40%).
Additionally, females, higher education, and living in metropolitan areas were associated with higher access and scheduling during the pandemic.
There was a variation of access and scheduling in different chronic diseases, however, providers offered more remote services for those who diagnosed by diabetes.
Conclusion
The aim of telemedicine is to reduce disparities in healthcare access.
The findings of this study show telemedicine has reduced racial disparities and provided greater accessibility for older groups.
However, spatial and educational disparities are still noticeable.
Research is necessary to examine how healthcare must address the socioeconomic heterogeneity in telemedicine by avoiding further disparities.
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