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Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting

As part of its data modernization initiative (DMI), the Centers for Disease Control and Prevention, Division of Cancer Prevention and Control is testing and implementing innovative solutions to improve cancer surveillance data quality and timeliness. We describe a consensus-based effort to create a...

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Autores principales: Subramanian, Sujha, Tangka, Florence K L, Pordell, Paran, Beizer, Jenny, Wilson, Reda, Jones, Sandra F, Rogers, Joseph D, Benard, Vicki B, Richardson, Lisa C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448993/
https://www.ncbi.nlm.nih.gov/pubmed/37638125
http://dx.doi.org/10.1093/jamiaopen/ooad060
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author Subramanian, Sujha
Tangka, Florence K L
Pordell, Paran
Beizer, Jenny
Wilson, Reda
Jones, Sandra F
Rogers, Joseph D
Benard, Vicki B
Richardson, Lisa C
author_facet Subramanian, Sujha
Tangka, Florence K L
Pordell, Paran
Beizer, Jenny
Wilson, Reda
Jones, Sandra F
Rogers, Joseph D
Benard, Vicki B
Richardson, Lisa C
author_sort Subramanian, Sujha
collection PubMed
description As part of its data modernization initiative (DMI), the Centers for Disease Control and Prevention, Division of Cancer Prevention and Control is testing and implementing innovative solutions to improve cancer surveillance data quality and timeliness. We describe a consensus-based effort to create a framework to guide the evaluation of cancer surveillance modernization efforts by addressing specific context, processes, and costs related to cancer registration. We drew on prior theories, consulted with experts, and sought feedback from cancer registry staff. We developed the cancer surveillance systems, context, outcomes, and process evaluation (CS-SCOPE) framework to explain the ways in which cancer registry data quality, timeliness, and efficiency are impacted by external and internal contextual factors and interrelated process and content factors. The framework includes implementation measures to understand acceptability of process changes along with outcome measures to assess DMI initiation and ongoing sustainability. The framework’s components and structures can be tailored for use in other DMI evaluations.
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spelling pubmed-104489932023-08-25 Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting Subramanian, Sujha Tangka, Florence K L Pordell, Paran Beizer, Jenny Wilson, Reda Jones, Sandra F Rogers, Joseph D Benard, Vicki B Richardson, Lisa C JAMIA Open Brief Communications As part of its data modernization initiative (DMI), the Centers for Disease Control and Prevention, Division of Cancer Prevention and Control is testing and implementing innovative solutions to improve cancer surveillance data quality and timeliness. We describe a consensus-based effort to create a framework to guide the evaluation of cancer surveillance modernization efforts by addressing specific context, processes, and costs related to cancer registration. We drew on prior theories, consulted with experts, and sought feedback from cancer registry staff. We developed the cancer surveillance systems, context, outcomes, and process evaluation (CS-SCOPE) framework to explain the ways in which cancer registry data quality, timeliness, and efficiency are impacted by external and internal contextual factors and interrelated process and content factors. The framework includes implementation measures to understand acceptability of process changes along with outcome measures to assess DMI initiation and ongoing sustainability. The framework’s components and structures can be tailored for use in other DMI evaluations. Oxford University Press 2023-08-23 /pmc/articles/PMC10448993/ /pubmed/37638125 http://dx.doi.org/10.1093/jamiaopen/ooad060 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Communications
Subramanian, Sujha
Tangka, Florence K L
Pordell, Paran
Beizer, Jenny
Wilson, Reda
Jones, Sandra F
Rogers, Joseph D
Benard, Vicki B
Richardson, Lisa C
Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting
title Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting
title_full Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting
title_fullStr Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting
title_full_unstemmed Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting
title_short Consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting
title_sort consensus-based framework for evaluating data modernization initiatives: the case of cancer registration and electronic reporting
topic Brief Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448993/
https://www.ncbi.nlm.nih.gov/pubmed/37638125
http://dx.doi.org/10.1093/jamiaopen/ooad060
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