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...
Autores principales: | , , , , , , , , , |
---|---|
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 |