Anfinogenova, N.D.; Maksimova, A.S.; Shelkovnikova, T.A.; Ryumshina, N.I.; Kuznetsova, A.D.; Chesalov, N.P.; Karpov, R.S.; Ussov, W.Y.; Repin, A.N. Community-Based View on Diagnostic Imaging at the End of COVID-19 Pandemic: Online Survey-Assisted Study. Diagnostics2024, 14, 1269.
Anfinogenova, N.D.; Maksimova, A.S.; Shelkovnikova, T.A.; Ryumshina, N.I.; Kuznetsova, A.D.; Chesalov, N.P.; Karpov, R.S.; Ussov, W.Y.; Repin, A.N. Community-Based View on Diagnostic Imaging at the End of COVID-19 Pandemic: Online Survey-Assisted Study. Diagnostics 2024, 14, 1269.
Anfinogenova, N.D.; Maksimova, A.S.; Shelkovnikova, T.A.; Ryumshina, N.I.; Kuznetsova, A.D.; Chesalov, N.P.; Karpov, R.S.; Ussov, W.Y.; Repin, A.N. Community-Based View on Diagnostic Imaging at the End of COVID-19 Pandemic: Online Survey-Assisted Study. Diagnostics2024, 14, 1269.
Anfinogenova, N.D.; Maksimova, A.S.; Shelkovnikova, T.A.; Ryumshina, N.I.; Kuznetsova, A.D.; Chesalov, N.P.; Karpov, R.S.; Ussov, W.Y.; Repin, A.N. Community-Based View on Diagnostic Imaging at the End of COVID-19 Pandemic: Online Survey-Assisted Study. Diagnostics 2024, 14, 1269.
Abstract
Background: Online survey-based observational cross-sectional study aimed at elucidating experience and attitudes of unstructured population regarding diagnostic imaging. Methods: Invitations to participate were distributed using mixed-mode design to deidentified residents aged 18 years and older. Main outcome measures included morbidity structure and incidence of diagnostic imaging administrations. Results: Respondents (n = 1069) aged 44.3 ± 14.4 years; 32.8% suffered from cardiovascular diseases (CVD); 9.5% had chronic respiratory pathology; 28.9% considered themselves healthy. Respondents with COVID-19 history (49.7%) reported higher rates of computed tomography (CT) (p < .0001), magnetic resonance imaging (MRI) (p < .001), and ultrasound (p < .05). COVID-19 history in CVD respondents shifted imaging administrations towards CT and MRI (p < .05). Every tenth respondent received MRI, CT, and ultrasound on paid basis; 29.0% could not pay for diagnostic procedures; 13.1% reported unavailable MRI. Professional status significantly affected the pattern of diagnostic modalities (p < .05). MRI and CT availability differed between respondents in urban and rural areas (p < .0001). History of technogenic events predisposed responders to overestimate diagnostic value of fluorography (p < .05). Conclusions: Preparedness to future pandemics requires development of community-based outreach programs focusing on people's awareness regarding medical imaging safety and diagnostic value.
Keywords
surveys and questionnaires; diagnostic imaging; magnetic resonance imaging; epidemiology; public health; big data; COVID-19; environmental pollution; rural health services; population health
Subject
Public Health and Healthcare, Public, Environmental and Occupational Health
Copyright:
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