Literature DB >> 35916603

Evaluating and Improving Cancer Screening Process Quality in a Multilevel Context: The PROSPR II Consortium Design and Research Agenda.

Elisabeth F Beaber1, Aruna Kamineni2, Andrea N Burnett-Hartman3, Brian Hixon3, Sarah C Kobrin4, Christopher I Li1, Malia Oliver2, Katharine A Rendle5, Celette Sugg Skinner6,7, Kaitlin Todd1, Yingye Zheng1, Rebecca A Ziebell2, Erica S Breslau4, Jessica Chubak2, Douglas A Corley8, Robert T Greenlee9, Jennifer S Haas10, Ethan A Halm11, Stacey Honda12, Christine Neslund-Dudas13, Debra P Ritzwoller3, Joanne E Schottinger14, Jasmin A Tiro6,7, Anil Vachani15, V Paul Doria-Rose4.   

Abstract

BACKGROUND: Cancer screening is a complex process involving multiple steps and levels of influence (e.g., patient, provider, facility, health care system, community, or neighborhood). We describe the design, methods, and research agenda of the Population-based Research to Optimize the Screening Process (PROSPR II) consortium. PROSPR II Research Centers (PRC), and the Coordinating Center aim to identify opportunities to improve screening processes and reduce disparities through investigation of factors affecting cervical, colorectal, and lung cancer screening in U.S. community health care settings.
METHODS: We collected multilevel, longitudinal cervical, colorectal, and lung cancer screening process data from clinical and administrative sources on >9 million racially and ethnically diverse individuals across 10 heterogeneous health care systems with cohorts beginning January 1, 2010. To facilitate comparisons across organ types and highlight data breadth, we calculated frequencies of multilevel characteristics and volumes of screening and diagnostic tests/procedures and abnormalities.
RESULTS: Variations in patient, provider, and facility characteristics reflected the PROSPR II health care systems and differing target populations. PRCs identified incident diagnoses of invasive cancers, in situ cancers, and precancers (invasive: 372 cervical, 24,131 colorectal, 11,205 lung; in situ: 911 colorectal, 32 lung; precancers: 13,838 cervical, 554,499 colorectal).
CONCLUSIONS: PROSPR II's research agenda aims to advance: (i) conceptualization and measurement of the cancer screening process, its multilevel factors, and quality; (ii) knowledge of cancer disparities; and (iii) evaluation of the COVID-19 pandemic's initial impacts on cancer screening. We invite researchers to collaborate with PROSPR II investigators. IMPACT: PROSPR II is a valuable data resource for cancer screening researchers. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35916603      PMCID: PMC9350927          DOI: 10.1158/1055-9965.EPI-22-0100

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  44 in total

1.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

2.  Racial/Ethnic Disparities in Colorectal Cancer Screening Across Healthcare Systems.

Authors:  Andrea N Burnett-Hartman; Shivan J Mehta; Yingye Zheng; Nirupa R Ghai; Dale F McLerran; Jessica Chubak; Virginia P Quinn; Celette Sugg Skinner; Douglas A Corley; John M Inadomi; Chyke A Doubeni
Journal:  Am J Prev Med       Date:  2016-04-01       Impact factor: 5.043

3.  Colorectal cancer screening: Recommendations for physicians and patients from the U.S. Multi-Society Task Force on Colorectal Cancer.

Authors:  Douglas K Rex; C Richard Boland; Jason A Dominitz; Francis M Giardiello; David A Johnson; Tonya Kaltenbach; Theodore R Levin; David Lieberman; Douglas J Robertson
Journal:  Gastrointest Endosc       Date:  2017-06-06       Impact factor: 9.427

Review 4.  Proposed Quality Metrics for Lung Cancer Screening Programs: A National Lung Cancer Roundtable Project.

Authors:  Peter J Mazzone; Charles S White; Ella A Kazerooni; Robert A Smith; Carey C Thomson
Journal:  Chest       Date:  2021-02-01       Impact factor: 9.410

5.  Disparities in cancer screening by occupational characteristics.

Authors:  Stacey A Fedewa; Ann Goding Sauer; Carol DeSantis; Rebecca L Siegel; Ahmedin Jemal
Journal:  Prev Med       Date:  2017-10-05       Impact factor: 4.018

6.  Socioeconomic, Rural-Urban, and Racial Inequalities in US Cancer Mortality: Part I-All Cancers and Lung Cancer and Part II-Colorectal, Prostate, Breast, and Cervical Cancers.

Authors:  Gopal K Singh; Shanita D Williams; Mohammad Siahpush; Aaron Mulhollen
Journal:  J Cancer Epidemiol       Date:  2012-02-14

7.  Impact of disruptions and recovery for established cervical screening programs across a range of high-income country program designs, using COVID-19 as an example: A modelled analysis.

Authors:  Megan A Smith; Emily A Burger; Alejandra Castanon; Inge M C M de Kok; Sharon J B Hanley; Matejka Rebolj; Michaela T Hall; Erik E L Jansen; James Killen; Xavier O'Farrell; Jane J Kim; Karen Canfell
Journal:  Prev Med       Date:  2021-05-23       Impact factor: 4.637

8.  Impact of COVID-19-related care disruptions on cervical cancer screening in the United States.

Authors:  Emily A Burger; Erik El Jansen; James Killen; Inge McM de Kok; Megan A Smith; Stephen Sy; Niels Dunnewind; Nicole G Campos; Jennifer S Haas; Sarah Kobrin; Aruna Kamineni; Karen Canfell; Jane J Kim
Journal:  J Med Screen       Date:  2021-03-17       Impact factor: 1.687

9.  Early assessment of the first wave of the COVID-19 pandemic on cancer screening services: The International Cancer Screening Network COVID-19 survey.

Authors:  Douglas M Puricelli Perin; K Miriam Elfström; Jean-Luc Bulliard; Andrea Burón; Christine Campbell; Anath A Flugelman; Livia Giordano; Aruna Kamineni; Antonio Ponti; Linda Rabeneck; Mona Saraiya; Robert A Smith; Mireille J M Broeders
Journal:  Prev Med       Date:  2021-06-30       Impact factor: 4.018

10.  Cancer screening in the U.S. through the COVID-19 pandemic, recovery, and beyond.

Authors:  Jennifer M Croswell; Douglas A Corley; Jennifer Elston Lafata; Jennifer S Haas; John M Inadomi; Aruna Kamineni; Debra P Ritzwoller; Anil Vachani; Yingye Zheng
Journal:  Prev Med       Date:  2021-06-30       Impact factor: 4.637

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