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Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol

BACKGROUND: Certain medications may increase the risk of death or death from specific causes (eg, sudden cardiac death), but these risks may not be identified in premarket randomized trials. Having the capacity to examine death in postmarket safety surveillance activities is important to the US Food...

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Autores principales: Fuller, Candace C, Hua, Wei, Leonard, Charles E, Mosholder, Andrew, Carnahan, Ryan, Dutcher, Sarah, King, Katelyn, Petrone, Andrew B, Rosofsky, Robert, Shockro, Laura A, Young, Jessica, Min, Jea Young, Binswanger, Ingrid, Boudreau, Denise, Griffin, Marie R, Adgent, Margaret A, Kuntz, Jennifer, McMahill-Walraven, Cheryl, Pawloski, Pamala A, Ball, Robert, Toh, Sengwee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669437/
https://www.ncbi.nlm.nih.gov/pubmed/33136063
http://dx.doi.org/10.2196/21811
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author Fuller, Candace C
Hua, Wei
Leonard, Charles E
Mosholder, Andrew
Carnahan, Ryan
Dutcher, Sarah
King, Katelyn
Petrone, Andrew B
Rosofsky, Robert
Shockro, Laura A
Young, Jessica
Min, Jea Young
Binswanger, Ingrid
Boudreau, Denise
Griffin, Marie R
Adgent, Margaret A
Kuntz, Jennifer
McMahill-Walraven, Cheryl
Pawloski, Pamala A
Ball, Robert
Toh, Sengwee
author_facet Fuller, Candace C
Hua, Wei
Leonard, Charles E
Mosholder, Andrew
Carnahan, Ryan
Dutcher, Sarah
King, Katelyn
Petrone, Andrew B
Rosofsky, Robert
Shockro, Laura A
Young, Jessica
Min, Jea Young
Binswanger, Ingrid
Boudreau, Denise
Griffin, Marie R
Adgent, Margaret A
Kuntz, Jennifer
McMahill-Walraven, Cheryl
Pawloski, Pamala A
Ball, Robert
Toh, Sengwee
author_sort Fuller, Candace C
collection PubMed
description BACKGROUND: Certain medications may increase the risk of death or death from specific causes (eg, sudden cardiac death), but these risks may not be identified in premarket randomized trials. Having the capacity to examine death in postmarket safety surveillance activities is important to the US Food and Drug Administration’s (FDA) mission to protect public health. Distributed networks of electronic health plan databases used by the FDA to conduct multicenter research or medical product safety surveillance studies often do not systematically include death or cause-of-death information. OBJECTIVE: This study aims to develop reusable, generalizable methods for linking multiple health plan databases with the Centers for Disease Control and Prevention’s National Death Index Plus (NDI+) data. METHODS: We will develop efficient administrative workflows to facilitate multicenter institutional review board (IRB) review and approval within a distributed network of 6 health plans. The study will create a distributed NDI+ linkage process that avoids sharing of identifiable patient information between health plans or with a central coordinating center. We will develop standardized criteria for selecting and retaining NDI+ matches and methods for harmonizing linked information across multiple health plans. We will test our processes within a use case comprising users and nonusers of antiarrhythmic medications. RESULTS: We will use the linked health plan and NDI+ data sets to estimate the incidences and incidence rates of mortality and specific causes of death within the study use case and compare the results with reported estimates. These comparisons provide an opportunity to assess the performance of the developed NDI+ linkage approach and lessons for future studies requiring NDI+ linkage in distributed database settings. This study is approved by the IRB at Harvard Pilgrim Health Care in Boston, MA. Results will be presented to the FDA at academic conferences and published in peer-reviewed journals. CONCLUSIONS: This study will develop and test a reusable distributed NDI+ linkage approach with the goal of providing tested NDI+ linkage methods for use in future studies within distributed data networks. Having standardized and reusable methods for systematically obtaining death and cause-of-death information from NDI+ would enhance the FDA’s ability to assess mortality-related safety questions in the postmarket, real-world setting. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21811
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spelling pubmed-76694372020-11-20 Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol Fuller, Candace C Hua, Wei Leonard, Charles E Mosholder, Andrew Carnahan, Ryan Dutcher, Sarah King, Katelyn Petrone, Andrew B Rosofsky, Robert Shockro, Laura A Young, Jessica Min, Jea Young Binswanger, Ingrid Boudreau, Denise Griffin, Marie R Adgent, Margaret A Kuntz, Jennifer McMahill-Walraven, Cheryl Pawloski, Pamala A Ball, Robert Toh, Sengwee JMIR Res Protoc Protocol BACKGROUND: Certain medications may increase the risk of death or death from specific causes (eg, sudden cardiac death), but these risks may not be identified in premarket randomized trials. Having the capacity to examine death in postmarket safety surveillance activities is important to the US Food and Drug Administration’s (FDA) mission to protect public health. Distributed networks of electronic health plan databases used by the FDA to conduct multicenter research or medical product safety surveillance studies often do not systematically include death or cause-of-death information. OBJECTIVE: This study aims to develop reusable, generalizable methods for linking multiple health plan databases with the Centers for Disease Control and Prevention’s National Death Index Plus (NDI+) data. METHODS: We will develop efficient administrative workflows to facilitate multicenter institutional review board (IRB) review and approval within a distributed network of 6 health plans. The study will create a distributed NDI+ linkage process that avoids sharing of identifiable patient information between health plans or with a central coordinating center. We will develop standardized criteria for selecting and retaining NDI+ matches and methods for harmonizing linked information across multiple health plans. We will test our processes within a use case comprising users and nonusers of antiarrhythmic medications. RESULTS: We will use the linked health plan and NDI+ data sets to estimate the incidences and incidence rates of mortality and specific causes of death within the study use case and compare the results with reported estimates. These comparisons provide an opportunity to assess the performance of the developed NDI+ linkage approach and lessons for future studies requiring NDI+ linkage in distributed database settings. This study is approved by the IRB at Harvard Pilgrim Health Care in Boston, MA. Results will be presented to the FDA at academic conferences and published in peer-reviewed journals. CONCLUSIONS: This study will develop and test a reusable distributed NDI+ linkage approach with the goal of providing tested NDI+ linkage methods for use in future studies within distributed data networks. Having standardized and reusable methods for systematically obtaining death and cause-of-death information from NDI+ would enhance the FDA’s ability to assess mortality-related safety questions in the postmarket, real-world setting. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21811 JMIR Publications 2020-11-02 /pmc/articles/PMC7669437/ /pubmed/33136063 http://dx.doi.org/10.2196/21811 Text en ©Candace C Fuller, Wei Hua, Charles E Leonard, Andrew Mosholder, Ryan Carnahan, Sarah Dutcher, Katelyn King, Andrew B Petrone, Robert Rosofsky, Laura A Shockro, Jessica Young, Jea Young Min, Ingrid Binswanger, Denise Boudreau, Marie R Griffin, Margaret A Adgent, Jennifer Kuntz, Cheryl McMahill-Walraven, Pamala A Pawloski, Robert Ball, Sengwee Toh. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 02.11.2020. 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 Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Fuller, Candace C
Hua, Wei
Leonard, Charles E
Mosholder, Andrew
Carnahan, Ryan
Dutcher, Sarah
King, Katelyn
Petrone, Andrew B
Rosofsky, Robert
Shockro, Laura A
Young, Jessica
Min, Jea Young
Binswanger, Ingrid
Boudreau, Denise
Griffin, Marie R
Adgent, Margaret A
Kuntz, Jennifer
McMahill-Walraven, Cheryl
Pawloski, Pamala A
Ball, Robert
Toh, Sengwee
Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol
title Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol
title_full Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol
title_fullStr Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol
title_full_unstemmed Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol
title_short Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol
title_sort developing a standardized and reusable method to link distributed health plan databases to the national death index: methods development study protocol
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669437/
https://www.ncbi.nlm.nih.gov/pubmed/33136063
http://dx.doi.org/10.2196/21811
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