Cargando…

Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study

Older adults (aged 65 years and older) diagnosed with cancer account for most cancer‐related morbidity and mortality in the United States but are often underrepresented on clinical trials. Recent attention from a variety of professional, research, regulatory, and patient advocacy groups has centered...

Descripción completa

Detalles Bibliográficos
Autores principales: Lund, Jennifer L., Meyer, Anne‐Marie, Deal, Allison M., Choi, Bong‐Jin, Chang, YunKyung, Williams, Grant R., Pergolotti, Mackenzi, Guerard, Emily J., Muss, Hyman B., Sanoff, Hanna K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AlphaMed Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5553948/
https://www.ncbi.nlm.nih.gov/pubmed/28408619
http://dx.doi.org/10.1634/theoncologist.2016-0418
_version_ 1783256704167706624
author Lund, Jennifer L.
Meyer, Anne‐Marie
Deal, Allison M.
Choi, Bong‐Jin
Chang, YunKyung
Williams, Grant R.
Pergolotti, Mackenzi
Guerard, Emily J.
Muss, Hyman B.
Sanoff, Hanna K.
author_facet Lund, Jennifer L.
Meyer, Anne‐Marie
Deal, Allison M.
Choi, Bong‐Jin
Chang, YunKyung
Williams, Grant R.
Pergolotti, Mackenzi
Guerard, Emily J.
Muss, Hyman B.
Sanoff, Hanna K.
author_sort Lund, Jennifer L.
collection PubMed
description Older adults (aged 65 years and older) diagnosed with cancer account for most cancer‐related morbidity and mortality in the United States but are often underrepresented on clinical trials. Recent attention from a variety of professional, research, regulatory, and patient advocacy groups has centered on data linkage and data sharing as a means to capture patient information and outcomes outside of clinical trials to accelerate progress in the fight against cancer. The development of a more robust observational research data infrastructure would help to address gaps in the evidence base regarding optimal approaches to treating cancer among the growing and complex population of older adults. To demonstrate the feasibility of building such a resource, we linked information from a sample of older adults with cancer in North Carolina using three distinct, but complementary, data sources: (a) the Carolina Senior Registry, (b) the North Carolina Central Cancer Registry, and (c) North Carolina fee‐for‐service Medicare claims data. A description of the linkage process, metrics, and characteristics of the final cohort is reported. This study highlights the potential for data linkage to improve the characterization of health status among older adults with cancer and the possibility to conduct passive follow‐up for outcomes of interest over time. Extensions of these linkage efforts in partnership with other institutions will enhance our ability to generate evidence that can inform the management of older adults with cancer.
format Online
Article
Text
id pubmed-5553948
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher AlphaMed Press
record_format MEDLINE/PubMed
spelling pubmed-55539482018-02-01 Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study Lund, Jennifer L. Meyer, Anne‐Marie Deal, Allison M. Choi, Bong‐Jin Chang, YunKyung Williams, Grant R. Pergolotti, Mackenzi Guerard, Emily J. Muss, Hyman B. Sanoff, Hanna K. Oncologist Brief Communications Older adults (aged 65 years and older) diagnosed with cancer account for most cancer‐related morbidity and mortality in the United States but are often underrepresented on clinical trials. Recent attention from a variety of professional, research, regulatory, and patient advocacy groups has centered on data linkage and data sharing as a means to capture patient information and outcomes outside of clinical trials to accelerate progress in the fight against cancer. The development of a more robust observational research data infrastructure would help to address gaps in the evidence base regarding optimal approaches to treating cancer among the growing and complex population of older adults. To demonstrate the feasibility of building such a resource, we linked information from a sample of older adults with cancer in North Carolina using three distinct, but complementary, data sources: (a) the Carolina Senior Registry, (b) the North Carolina Central Cancer Registry, and (c) North Carolina fee‐for‐service Medicare claims data. A description of the linkage process, metrics, and characteristics of the final cohort is reported. This study highlights the potential for data linkage to improve the characterization of health status among older adults with cancer and the possibility to conduct passive follow‐up for outcomes of interest over time. Extensions of these linkage efforts in partnership with other institutions will enhance our ability to generate evidence that can inform the management of older adults with cancer. AlphaMed Press 2017-04-13 2017-08 /pmc/articles/PMC5553948/ /pubmed/28408619 http://dx.doi.org/10.1634/theoncologist.2016-0418 Text en © AlphaMed Press 2017
spellingShingle Brief Communications
Lund, Jennifer L.
Meyer, Anne‐Marie
Deal, Allison M.
Choi, Bong‐Jin
Chang, YunKyung
Williams, Grant R.
Pergolotti, Mackenzi
Guerard, Emily J.
Muss, Hyman B.
Sanoff, Hanna K.
Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study
title Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study
title_full Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study
title_fullStr Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study
title_full_unstemmed Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study
title_short Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study
title_sort data linkage to improve geriatric oncology research: a feasibility study
topic Brief Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5553948/
https://www.ncbi.nlm.nih.gov/pubmed/28408619
http://dx.doi.org/10.1634/theoncologist.2016-0418
work_keys_str_mv AT lundjenniferl datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT meyerannemarie datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT dealallisonm datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT choibongjin datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT changyunkyung datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT williamsgrantr datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT pergolottimackenzi datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT guerardemilyj datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT musshymanb datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy
AT sanoffhannak datalinkagetoimprovegeriatriconcologyresearchafeasibilitystudy