Cargando…

Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration

BACKGROUND: The integration of data from disparate sources could help alleviate data insufficiency in real-world studies and compensate for the inadequacies of single data sources and short-duration, small sample size studies while improving the utility of data for research. OBJECTIVE: This study ai...

Descripción completa

Detalles Bibliográficos
Autores principales: Grabner, Michael, Molife, Cliff, Wang, Liya, Winfree, Katherine B, Cui, Zhanglin Lin, Cuyun Carter, Gebra, Hess, Lisa M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076987/
https://www.ncbi.nlm.nih.gov/pubmed/33843600
http://dx.doi.org/10.2196/23161
_version_ 1783684799624380416
author Grabner, Michael
Molife, Cliff
Wang, Liya
Winfree, Katherine B
Cui, Zhanglin Lin
Cuyun Carter, Gebra
Hess, Lisa M
author_facet Grabner, Michael
Molife, Cliff
Wang, Liya
Winfree, Katherine B
Cui, Zhanglin Lin
Cuyun Carter, Gebra
Hess, Lisa M
author_sort Grabner, Michael
collection PubMed
description BACKGROUND: The integration of data from disparate sources could help alleviate data insufficiency in real-world studies and compensate for the inadequacies of single data sources and short-duration, small sample size studies while improving the utility of data for research. OBJECTIVE: This study aims to describe and evaluate a process of integrating data from several complementary sources to conduct health outcomes research in patients with non–small cell lung cancer (NSCLC). The integrated data set is also used to describe patient demographics, clinical characteristics, treatment patterns, and mortality rates. METHODS: This retrospective cohort study integrated data from 4 sources: administrative claims from the HealthCore Integrated Research Database, clinical data from a Cancer Care Quality Program (CCQP), clinical data from abstracted medical records (MRs), and mortality data from the US Social Security Administration. Patients with lung cancer who initiated second-line (2L) therapy between November 01, 2015, and April 13, 2018, were identified in the claims and CCQP data. Eligible patients were 18 years or older and received atezolizumab, docetaxel, erlotinib, nivolumab, pembrolizumab, pemetrexed, or ramucirumab in the 2L setting. The main analysis cohort included patients with claims data and data from at least one additional data source (CCQP or MR). Patients without integrated data (claims only) were reported separately. Descriptive and univariate statistics were reported. RESULTS: Data integration resulted in a main analysis cohort of 2195 patients with NSCLC; 2106 patients had CCQP and 407 patients had MR data. The claims-only cohort included 931 eligible patients. For the main analysis cohort, the mean age was 62.1 (SD 9.27) years, 48.56% (1066/2195) were female, the median length of follow-up was 6.8 months, and for 37.77% (829/2195), death was observed. For the claims-only cohort, the mean age was 66.6 (SD 12.69) years, 52.1% (485/931) were female, the median length of follow-up was 8.6 months, and for 29.3% (273/931), death was observed. The most frequent 2L treatment was immunotherapy (1094/2195, 49.84%), followed by platinum-based regimens (472/2195, 21.50%) and single-agent chemotherapy (441/2195, 20.09%); mean duration of 2L therapy was 5.6 (SD 4.9, median 4) months. We describe challenges and learnings from the data integration process, and the benefits of the integrated data set, which includes a richer set of clinical and outcome data to supplement the utilization metrics available in administrative claims. CONCLUSIONS: The management of patients with NSCLC requires care from a multidisciplinary team, leading to a lack of a single aggregated data source in real-world settings. The availability of integrated clinical data from MRs, health plan claims, and other sources of clinical care may improve the ability to assess emerging treatments.
format Online
Article
Text
id pubmed-8076987
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-80769872021-05-06 Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration Grabner, Michael Molife, Cliff Wang, Liya Winfree, Katherine B Cui, Zhanglin Lin Cuyun Carter, Gebra Hess, Lisa M JMIR Cancer Original Paper BACKGROUND: The integration of data from disparate sources could help alleviate data insufficiency in real-world studies and compensate for the inadequacies of single data sources and short-duration, small sample size studies while improving the utility of data for research. OBJECTIVE: This study aims to describe and evaluate a process of integrating data from several complementary sources to conduct health outcomes research in patients with non–small cell lung cancer (NSCLC). The integrated data set is also used to describe patient demographics, clinical characteristics, treatment patterns, and mortality rates. METHODS: This retrospective cohort study integrated data from 4 sources: administrative claims from the HealthCore Integrated Research Database, clinical data from a Cancer Care Quality Program (CCQP), clinical data from abstracted medical records (MRs), and mortality data from the US Social Security Administration. Patients with lung cancer who initiated second-line (2L) therapy between November 01, 2015, and April 13, 2018, were identified in the claims and CCQP data. Eligible patients were 18 years or older and received atezolizumab, docetaxel, erlotinib, nivolumab, pembrolizumab, pemetrexed, or ramucirumab in the 2L setting. The main analysis cohort included patients with claims data and data from at least one additional data source (CCQP or MR). Patients without integrated data (claims only) were reported separately. Descriptive and univariate statistics were reported. RESULTS: Data integration resulted in a main analysis cohort of 2195 patients with NSCLC; 2106 patients had CCQP and 407 patients had MR data. The claims-only cohort included 931 eligible patients. For the main analysis cohort, the mean age was 62.1 (SD 9.27) years, 48.56% (1066/2195) were female, the median length of follow-up was 6.8 months, and for 37.77% (829/2195), death was observed. For the claims-only cohort, the mean age was 66.6 (SD 12.69) years, 52.1% (485/931) were female, the median length of follow-up was 8.6 months, and for 29.3% (273/931), death was observed. The most frequent 2L treatment was immunotherapy (1094/2195, 49.84%), followed by platinum-based regimens (472/2195, 21.50%) and single-agent chemotherapy (441/2195, 20.09%); mean duration of 2L therapy was 5.6 (SD 4.9, median 4) months. We describe challenges and learnings from the data integration process, and the benefits of the integrated data set, which includes a richer set of clinical and outcome data to supplement the utilization metrics available in administrative claims. CONCLUSIONS: The management of patients with NSCLC requires care from a multidisciplinary team, leading to a lack of a single aggregated data source in real-world settings. The availability of integrated clinical data from MRs, health plan claims, and other sources of clinical care may improve the ability to assess emerging treatments. JMIR Publications 2021-04-12 /pmc/articles/PMC8076987/ /pubmed/33843600 http://dx.doi.org/10.2196/23161 Text en ©Michael Grabner, Cliff Molife, Liya Wang, Katherine B Winfree, Zhanglin Lin Cui, Gebra Cuyun Carter, Lisa M Hess. Originally published in JMIR Cancer (http://cancer.jmir.org), 12.04.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on http://cancer.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Grabner, Michael
Molife, Cliff
Wang, Liya
Winfree, Katherine B
Cui, Zhanglin Lin
Cuyun Carter, Gebra
Hess, Lisa M
Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration
title Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration
title_full Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration
title_fullStr Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration
title_full_unstemmed Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration
title_short Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration
title_sort data integration to improve real-world health outcomes research for non–small cell lung cancer in the united states: descriptive and qualitative exploration
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076987/
https://www.ncbi.nlm.nih.gov/pubmed/33843600
http://dx.doi.org/10.2196/23161
work_keys_str_mv AT grabnermichael dataintegrationtoimproverealworldhealthoutcomesresearchfornonsmallcelllungcancerintheunitedstatesdescriptiveandqualitativeexploration
AT molifecliff dataintegrationtoimproverealworldhealthoutcomesresearchfornonsmallcelllungcancerintheunitedstatesdescriptiveandqualitativeexploration
AT wangliya dataintegrationtoimproverealworldhealthoutcomesresearchfornonsmallcelllungcancerintheunitedstatesdescriptiveandqualitativeexploration
AT winfreekatherineb dataintegrationtoimproverealworldhealthoutcomesresearchfornonsmallcelllungcancerintheunitedstatesdescriptiveandqualitativeexploration
AT cuizhanglinlin dataintegrationtoimproverealworldhealthoutcomesresearchfornonsmallcelllungcancerintheunitedstatesdescriptiveandqualitativeexploration
AT cuyuncartergebra dataintegrationtoimproverealworldhealthoutcomesresearchfornonsmallcelllungcancerintheunitedstatesdescriptiveandqualitativeexploration
AT hesslisam dataintegrationtoimproverealworldhealthoutcomesresearchfornonsmallcelllungcancerintheunitedstatesdescriptiveandqualitativeexploration