Browsing by Author "Kaelber, David C."

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    Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2016-2017)
    (AMIA, 2018) Bell, Douglas S.; Baldwin, Kevin; Bell, Elijah J.; Lehmann, Christoph U.; Webber, Emily C.; Mohan, Vishnu; Leu, Michael G.; Hoffman, Jeffrey M.; Kaelber, David C.; Landman, Adam B.; Hron, Jonathan; Silverman, Howard D.; Levy, Bruce; Elkin, Peter L.; Poon, Eric; Luberti, Anthony A.; Finnell, John T.; Safran, Charles; Palma, Jonathan P.; Forman, Bruce H.; Kileen, James; Arvin, David; Pfeffer, Michael; Pediatrics, School of Medicine
    We conducted a national study to assess the numbers and diversity of applicants for 2016 and 2017 clinical informatics fellowship positions. In each year, we collected data on the number of applications that programs received from candidates who were ultimately successful vs. unsuccessful. In 2017, we also conducted an anonymous applicant survey. Successful candidates applied to an average of 4.2 and 5.5 programs for 2016 and 2017, respectively. In the survey, unsuccessful candidates reported applying to fewer programs. Assuming unsuccessful candidates submitted between 2-5 applications each, the total applicant pool numbered 42-69 for 2016 (competing for 24 positions) and 52-85 for 2017 (competing for 30 positions). Among survey respondents (n=33), 24% were female, 1 was black and none were Hispanic. We conclude that greater efforts are needed to enhance interest in clinical informatics among medical students and residents, particularly among women and members of underrepresented minority groups.
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    Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design
    (Public Library of Science, 2023-06-23) Gross, Rachel; Thaweethai, Tanayott; Rosenzweig, Erika B.; Chan, James; Chibnik, Lori B.; Cicek, Mine S.; Elliott, Amy J.; Flaherman, Valerie J.; Foulkes, Andrea S.; Witvliet, Margot Gage; Gallagher, Richard; Gennaro, Maria Laura; Jernigan, Terry L.; Karlson, Elizabeth W.; Katz, Stuart D.; Kinser, Patricia A.; Kleinman, Lawrence C.; Lamendola-Essel, Michelle F.; Milner, Joshua D.; Mohandas, Sindhu; Mudumbi, Praveen C.; Newburger, Jane W.; Rhee, Kyung E.; Salisbury, Amy L.; Snowden, Jessica N.; Stein, Cheryl R.; Stockwell, Melissa S.; Tantisira, Kelan G.; Thomason, Moriah E.; Truong, Dongngan T.; Warburton, David; Wood, John C.; Ahmed, Shifa; Akerlundh, Almary; Alshawabkeh, Akram N.; Anderson, Brett R.; Aschner, Judy L.; Atz, Andrew M.; Aupperle, Robin L.; Baker, Fiona C.; Balaraman, Venkataraman; Banerjee, Dithi; Barch, Deanna M.; Baskin-Sommers, Arielle; Bhuiyan, Sultana; Bind, Marie-Abele C.; Bogie, Amanda L.; Buchbinder, Natalie C.; Bueler, Elliott; Bükülmez, Hülya; Casey, B. J.; Chang, Linda; Clark, Duncan B.; Clifton, Rebecca G.; Clouser, Katharine N.; Cottrell, Lesley; Cowan, Kelly; D'Sa, Viren; Dapretto, Mirella; Dasgupta, Soham; Dehority, Walter; Dummer, Kirsten B.; Elias, Matthew D.; Esquenazi-Karonika, Shari; Evans, Danielle N.; Faustino, E. Vincent S.; Fiks, Alexander G.; Forsha, Daniel; Foxe, John J.; Friedman, Naomi P.; Fry, Greta; Gaur, Sunanda; Gee, Dylan G.; Gray, Kevin M.; Harahsheh, Ashraf S.; Heath, Andrew C.; Heitzeg, Mary M.; Hester, Christina M.; Hill, Sophia; Hobart-Porter, Laura; Hong, Travis K. F.; Horowitz, Carol R.; Hsia, Daniel S.; Huentelman, Matthew; Hummel, Kathy D.; Iacono, William G.; Irby, Katherine; Jacobus, Joanna; Jacoby, Vanessa L.; Jone, Pei-Ni; Kaelber, David C.; Kasmarcak, Tyler J.; Kluko, Matthew J.; Kosut, Jessica S.; Laird, Angela R.; Landeo-Gutierrez, Jeremy; Lang, Sean M.; Larson, Christine L.; Lim, Peter Paul C.; Lisdahl, Krista M.; McCrindle, Brian W.; McCulloh, Russell J.; Mendelsohn, Alan L.; Metz, Torri D.; Morgan, Lerraughn M.; Müller-Oehring, Eva M.; Nahin, Erica R.; Neale, Michael C.; Ness-Cochinwala, Manette; Nolan, Sheila M.; Oliveira, Carlos R.; Oster, Matthew E.; Payne, R. Mark; Raissy, Hengameh; Randall, Isabelle G.; Rao, Suchitra; Reeder, Harrison T.; Rosas, Johana M.; Russell, Mark W.; Sabati, Arash A.; Sanil, Yamuna; Sato, Alice I.; Schechter, Michael S.; Selvarangan, Rangaraj; Shakti, Divya; Sharma, Kavita; Squeglia, Lindsay M.; Stevenson, Michelle D.; Szmuszkovicz, Jacqueline; Talavera-Barber, Maria M.; Teufel, Ronald J., II; Thacker, Deepika; Udosen, Mmekom M.; Warner, Megan R.; Watson, Sara E.; Werzberger, Alan; Weyer, Jordan C.; Wood, Marion J.; Yin, H. Shonna; Zempsky, William T.; Zimmerman, Emily; Dreyer, Benard P.; Pediatrics, School of Medicine
    Importance: SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. Methods: RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. Discussion: RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options.