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1.
JCO Clin Cancer Inform ; 5: 881-896, 2021 08.
Article in English | MEDLINE | ID: covidwho-1551280

ABSTRACT

Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute's Childhood Cancer Data Initiative.


Subject(s)
COVID-19 , Medical Informatics , Neoplasms , Adolescent , Child , Data Science , Humans , Neoplasms/epidemiology , Neoplasms/therapy , Pandemics , SARS-CoV-2 , Young Adult
2.
MMWR Morb Mortal Wkly Rep ; 70(4): 109-113, 2021 Jan 29.
Article in English | MEDLINE | ID: covidwho-1112895

ABSTRACT

On March 19, 2020, the governor of California issued a statewide stay-at-home order to contain the spread of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19).* The order reduced accessibility to and patient attendance at outpatient medical visits,† including preventive services such as cervical cancer screening. In-person clinic visits increased when California reopened essential businesses on June 12, 2020.§ Electronic medical records of approximately 1.5 million women served by Kaiser Permanente Southern California (KPSC), a large integrated health care system, were examined to assess cervical cancer screening rates before, during, and after the stay-at-home order. KPSC policy is to screen women aged 21-29 years every 3 years with cervical cytology alone (Papanicolaou [Pap] test); those aged 30-65 years were screened every 5 years with human papillomavirus (HPV) testing and cytology (cotesting) through July 15, 2020, and after July 15, 2020, with HPV testing alone, consistent with the latest recommendations from U.S. Preventive Services Task Force.¶ Compared with the 2019 baseline, cervical cancer screening rates decreased substantially during the stay-at-home order. Among women aged 21-29 years, cervical cytology screening rates per 100 person-months declined 78%. Among women aged 30-65 years, HPV test screening rates per 100 person-months decreased 82%. After the stay-at-home order was lifted, screening rates returned to near baseline, which might have been aided by aspects of KPSC's integrated, organized screening program (e.g., reminder systems and tracking persons lost to follow-up). As the pandemic continues, groups at higher risk for developing cervical cancers and precancers should be evaluated first. Ensuring that women receive preventive services, including cancer screening and appropriate follow-up in a safe and timely manner, remains important.


Subject(s)
COVID-19/prevention & control , Delivery of Health Care, Integrated , Early Detection of Cancer/statistics & numerical data , Quarantine/legislation & jurisprudence , Uterine Cervical Neoplasms/prevention & control , Adult , Aged , COVID-19/epidemiology , California/epidemiology , Female , Humans , Middle Aged , Young Adult
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