Literature DB >> 35788378

New Data Resources, Linkages, and Infrastructure for Cancer Health Economics Research: Main Topics From a Panel Discussion.

Stacie B Dusetzina PhD1, Lindsey Enewold Mph PhD2, Danielle Gentile PhD3, Scott D Ramsey Md PhD4, Michael T Halpern2.   

Abstract

Although a broad range of data resources have played a key role in the substantial achievements of cancer health economics research, there are now needs for more comprehensive data that represent a fuller picture of the cancer care experience. In particular, researchers need information that represents more diverse populations; includes more clinical details; and provides greater context on individual- and neighborhood-level factors that can affect cancer prevention, screening, treatment, and survivorship, including measures of financial health or toxicity, health-related social needs, and social determinants of health. This article highlights 3 critical topics for cancer health economics research: the future of the National Cancer Institute's Surveillance, Epidemiology, and End Results-Centers for Medicare & Medicaid Services-linked data resources; use of social media data for cancer outcomes research; and multi-site-linked electronic health record data networks. These 3 topics represent different approaches to enhance data resources, linkages, and infrastructures and are complementary strategies to provide more complete information on activities involved in and factors affecting the cancer control continuum. These and other data resources will assist researchers in examining the complex and nuanced questions now at the forefront of cancer health economics research. Published by Oxford University Press 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.

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Year:  2022        PMID: 35788378      PMCID: PMC9255924          DOI: 10.1093/jncimonographs/lgac016

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  21 in total

1.  The qualitative content analysis process.

Authors:  Satu Elo; Helvi Kyngäs
Journal:  J Adv Nurs       Date:  2008-04       Impact factor: 3.187

2.  Building Data Infrastructure to Evaluate and Improve Quality: PCORnet.

Authors:  Douglas A Corley; Heather Spencer Feigelson; Tracy A Lieu; Elizabeth A McGlynn
Journal:  J Oncol Pract       Date:  2015-05       Impact factor: 3.840

3.  Assessing Missing Data Assumptions in EHR-Based Studies: A Complex and Underappreciated Task.

Authors:  Sebastien Haneuse; David Arterburn; Michael J Daniels
Journal:  JAMA Netw Open       Date:  2021-02-01

4.  Breast Cancer Screening and Social Media: a Content Analysis of Evidence Use and Guideline Opinions on Twitter.

Authors:  Anthony Nastasi; Tyler Bryant; Joseph K Canner; Mark Dredze; Melissa S Camp; Neeraja Nagarajan
Journal:  J Cancer Educ       Date:  2018-06       Impact factor: 2.037

5.  Lung Cancer Messages on Twitter: Content Analysis and Evaluation.

Authors:  Jeannette Sutton; Sarah C Vos; Michele K Olson; Chelsea Woods; Elisia Cohen; C Ben Gibson; Nolan Edward Phillips; Jamie L Studts; Jan M Eberth; Carter T Butts
Journal:  J Am Coll Radiol       Date:  2017-11-15       Impact factor: 5.532

6.  Development and Evaluation of a Process to Link Cancer Patients in the SEER Registries to National Medicaid Enrollment Data.

Authors:  Joan L Warren; Suzie Benner; Jennifer Stevens; Lindsey Enewold; Bin Huang; Lirong Zhao; Negussie Tilahun; Cathy J Bradley
Journal:  J Natl Cancer Inst Monogr       Date:  2020-05-01

7.  Unveiling SEER-CAHPS®: a new data resource for quality of care research.

Authors:  Neetu Chawla; Matthew Urato; Anita Ambs; Nicola Schussler; Ron D Hays; Steven B Clauser; Alan M Zaslavsky; Kayo Walsh; Margot Schwartz; Michael Halpern; Sarah Gaillot; Elizabeth H Goldstein; Neeraj K Arora
Journal:  J Gen Intern Med       Date:  2015-01-14       Impact factor: 6.473

8.  The care.data consensus? A qualitative analysis of opinions expressed on Twitter.

Authors:  Rebecca Hays; Gavin Daker-White
Journal:  BMC Public Health       Date:  2015-09-02       Impact factor: 3.295

9.  Overview of the SEER--Medicare Health Outcomes Survey linked dataset.

Authors:  Anita Ambs; Joan L Warren; Keith M Bellizzi; Marie Topor; Samuel C Haffer; Steven B Clauser
Journal:  Health Care Financ Rev       Date:  2008

10.  Expanding the Role of the Patient-Centered Outcomes Research Institute: Reauthorization and Facilitating Value Assessments.

Authors:  William V Padula; R Brett McQueen
Journal:  Appl Health Econ Health Policy       Date:  2019-12       Impact factor: 2.561

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