2021
DOI: 10.15585/mmwr.mm7017e3
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Health Care Utilization and Clinical Characteristics of Nonhospitalized Adults in an Integrated Health Care System 28–180 Days After COVID-19 Diagnosis — Georgia, May 2020–March 2021

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Cited by 49 publications
(67 citation statements)
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“…The identification of poorer physical health among post-COVID-19 patients is consistent with a previous study that found that 92% of post-COVID-19 patients had diagnoses potentially related to post-COVID-19 conditions, including weakness, malaise, fatigue, respiratory failure with hypoxia, and gait abnormalities (2,3). Poorer self-reported physical and mental health is associated with long-term negative health outcomes including chronic diseases (e.g., diabetes and cardiovascular disease), functional decline (4), and mortality (5).…”
Section: Discussionsupporting
confidence: 90%
“…The identification of poorer physical health among post-COVID-19 patients is consistent with a previous study that found that 92% of post-COVID-19 patients had diagnoses potentially related to post-COVID-19 conditions, including weakness, malaise, fatigue, respiratory failure with hypoxia, and gait abnormalities (2,3). Poorer self-reported physical and mental health is associated with long-term negative health outcomes including chronic diseases (e.g., diabetes and cardiovascular disease), functional decline (4), and mortality (5).…”
Section: Discussionsupporting
confidence: 90%
“…Early data on post-COVID conditions primarily came from hospitalized cohorts ( 1 , 6 ); more recent reports describe post-COVID conditions among nonhospitalized, asymptomatic, or mildly ill patients ( 1 , 7 ). The prevalence of the most common long-term symptoms among respondents who received a positive test result in this investigation was similar to that in earlier studies ( 1 , 8 ). Many studies on post-COVID conditions lack comparisons with the general population of adults with negative test results for SARS-CoV-2; however, this investigation included a comparison group, allowing for assessment of background symptom frequencies.…”
Section: Discussionsupporting
confidence: 89%
“…Longitudinal electronic health record (EHR) data serve as a rich data source for studying PASC symptoms. However, retrospective studies that primarily utilize structured EHR data (e.g., lab results or International Classification of Disease [ICD] diagnosis codes) [11] , [14] , [19] may miss many clinical symptoms, which are often documented in clinical notes. [20] …”
Section: Background and Significancementioning
confidence: 99%