1345. Patient Perspectives and Journey with Influenza and Seeking Care from US National Survey

Abstract Background In the 2017-2018 influenza season, 49 million people in the US presented with influenza symptoms, resulting in substantial morbidity, mortality, and a significant humanistic and economic burden. Although there are currently four FDA-approved antivirals for influenza, such treatments continue to be widely underutilized. The aim of this study was to better understand the patients’ perspective and experience with a flu episode and seeking care during the 2019-2020 influenza season. Methods Data were obtained from an online quantitative survey of influenza patients. Participants were recruited from two data sources: A pool of respondents who previously completed the National Health and Wellness Survey (NHWS) (N=74,977) or from Lightspeed M3 Global online “General Panel” (N=500,000+) in the US from January 2020 through May 2020. The sample included patients >18 years of age and having a self-reported diagnosis of influenza by a healthcare professional within the last 90 days. Outcomes related to patient demographics, health-related characteristics and perspectives on the influenza episode were collected. Results 1,005 patients were included. Of those, 30.2% visited their primary health care professional (HCP) in person, 20.2% visited urgent care walk-in facility and 19.2% called their HCP. Important aspects of flu treatment included: feeling better quickly (69.5%), not transmitting to others (51.5%), and ease of administration (40.7%); 375 patients were treated with an antiviral. Of those, it took~4.6 days to feel generally better and ~8.8 days to feeling totally better. About 73% of patients took all of their antiviral medication, 9% took “some”. 43.9% of respondents considered themselves to be more likely to get serious flu-related complications, 52.5% reported that they were told by an HCP that they belong to a high-risk group that may be more likely to get flu-related complications. 41.3% reported they did not experience any high risk factors while experiencing influenza. Conclusion Influenza patients reported different attitudes and treatment approaches to handling their infection. It is critical to understand what matters most to patients regarding both influenza and treatment to optimally provide outreach and care. Disclosures Nate Way, PhD, Genentech, Inc. (Grant/Research Support)Kantar Health (Employee) Ashley Martin, PhD, Genentech, Inc. (Grant/Research Support)Kantar Health (Employee) Chris Wallick, PharmD, MS, Genentech, Inc. (Employee, Shareholder) Edward Neuberger, PharmD, MBA, MS, Genentech, Inc. (Employee, Shareholder) Mitra Corral, MS, MPH, Genentech, Inc. (Employee, Shareholder)


Conclusion.
Machine learning approaches outperformed logistic regression by maximizing sensitivity to predict counties with measles cases, an important criterion to consider to prevent or prepare for future outbreaks. XGBoost or logistic regression could be considered to maximize specificity. Prioritizing sensitivity versus specificity may depend on county resources, priorities, and measles risk. Different modeling approaches could be considered to optimize surveillance efforts and develop effective interventions for timely response. Background. In the 2017-2018 influenza season, 49 million people in the US presented with influenza symptoms, resulting in substantial morbidity, mortality, and a significant humanistic and economic burden. Although there are currently four FDAapproved antivirals for influenza, such treatments continue to be widely underutilized. The aim of this study was to better understand the patients' perspective and experience with a flu episode and seeking care during the 2019-2020 influenza season.
Methods. Data were obtained from an online quantitative survey of influenza patients. Participants were recruited from two data sources: A pool of respondents who previously completed the National Health and Wellness Survey (NHWS) (N=74,977) or from Lightspeed M3 Global online "General Panel" (N=500,000+) in the US from January 2020 through May 2020. The sample included patients >18 years of age and having a self-reported diagnosis of influenza by a healthcare professional within the last 90 days. Outcomes related to patient demographics, health-related characteristics and perspectives on the influenza episode were collected.
Results. 1,005 patients were included. Of those, 30.2% visited their primary health care professional (HCP) in person, 20.2% visited urgent care walk-in facility and 19.2% called their HCP. Important aspects of flu treatment included: feeling better quickly (69.5%), not transmitting to others (51.5%), and ease of administration (40.7%); 375 patients were treated with an antiviral. Of those, it took~4.6 days to feel generally better and ~8.8 days to feeling totally better. About 73% of patients took all of their antiviral medication, 9% took "some". 43.9% of respondents considered themselves to be more likely to get serious flu-related complications, 52.5% reported that they were told by an HCP that they belong to a high-risk group that may be more likely to get flu-related complications. 41.3% reported they did not experience any high risk factors while experiencing influenza.
Conclusion. Influenza patients reported different attitudes and treatment approaches to handling their infection. It is critical to understand what matters most to patients regarding both influenza and treatment to optimally provide outreach and care.
Disclosures Background. Respiratory Syncytial Virus (RSV) is one of the most common causes of childhood lower respiratory tract infection (LRTI) leading to hospitalization worldwide. Readmissions following viral LRTI hospitalization are common, however rates, timing and causes of readmission following RSV LRTI hospitalization are understudied. We evaluated readmissions occurring during 1-year post-discharge of RSV hospitalization.
Methods. We prospectively identified children < 5 years of age hospitalized with laboratory-confirmed RSV LRTI at Primary Children's and Riverton hospitals in Salt Lake City, Utah during the 2019-2020 RSV season. An electronic alert system identified all-cause readmission between November 2019 and April 2021. Discharge diagnoses of readmissions were reviewed by two pediatricians. We calculated the incidence rate of all-cause and respiratory-related readmission.
Results. A total of 297 children had laboratory-confirmed RSV LRTI hospitalizations during the 2019-2020 RSV season, with 24% admitted to the intensive care unit (ICU) during index RSV hospitalization and 24% having a chronic medical condition. During the 1-year follow-up period, 59 readmissions occurred among 47 patients ( Table 1). The incidence rate of all-cause and respiratory-related readmission was 19.9 (95%CI 15.5-24.9) and 13.1 (95%CI 9.5-17.5) per 100 patients, respectively. Median age of readmitted patients was 11 months (interquartile range 5.9-11 months). Median number of readmissions was 1 (range: 1-4), with initial readmissions occurring within 28 days (median) of index admission; most (74%) due to a respiratory-related illness. Second and 3 rd admissions were less common and occurred at 67 (median) and 160 (median) days respectively. During all readmissions, 19% of children required ICU admission and 25% had chronic medical conditions.

Conclusion.
All cause and respiratory readmission after Initial hospitalization with RSV LRTI commonly occurred among children < 5 years. These data support the need for RSV vaccines and immunoprophylaxis to prevent RSV hospitalization. A further study with a control group is needed to determine the role of RSV in readmission.