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Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review

BACKGROUND: Big data from large, government-sponsored surveys and data sets offers researchers opportunities to conduct population-based studies of important health issues in the United States, as well as develop preliminary data to support proposed future work. Yet, navigating these national data s...

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Detalles Bibliográficos
Autores principales: Annis, Ann, Reaves, Crista, Sender, Jessica, Bumpus, Sherry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176148/
https://www.ncbi.nlm.nih.gov/pubmed/37103987
http://dx.doi.org/10.2196/43802
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author Annis, Ann
Reaves, Crista
Sender, Jessica
Bumpus, Sherry
author_facet Annis, Ann
Reaves, Crista
Sender, Jessica
Bumpus, Sherry
author_sort Annis, Ann
collection PubMed
description BACKGROUND: Big data from large, government-sponsored surveys and data sets offers researchers opportunities to conduct population-based studies of important health issues in the United States, as well as develop preliminary data to support proposed future work. Yet, navigating these national data sources is challenging. Despite the widespread availability of national data, there is little guidance for researchers on how to access and evaluate the use of these resources. OBJECTIVE: Our aim was to identify and summarize a comprehensive list of federally sponsored, health- and health care–related data sources that are accessible in the public domain in order to facilitate their use by researchers. METHODS: We conducted a systematic mapping review of government sources of health-related data on US populations and with active or recent (previous 10 years) data collection. The key measures were government sponsor, overview and purpose of data, population of interest, sampling design, sample size, data collection methodology, type and description of data, and cost to obtain data. Convergent synthesis was used to aggregate findings. RESULTS: Among 106 unique data sources, 57 met the inclusion criteria. Data sources were classified as survey or assessment data (n=30, 53%), trends data (n=27, 47%), summative processed data (n=27, 47%), primary registry data (n=17, 30%), and evaluative data (n=11, 19%). Most (n=39, 68%) served more than 1 purpose. The population of interest included individuals/patients (n=40, 70%), providers (n=15, 26%), and health care sites and systems (n=14, 25%). The sources collected data on demographic (n=44, 77%) and clinical information (n=35, 61%), health behaviors (n=24, 42%), provider or practice characteristics (n=22, 39%), health care costs (n=17, 30%), and laboratory tests (n=8, 14%). Most (n=43, 75%) offered free data sets. CONCLUSIONS: A broad scope of national health data is accessible to researchers. These data provide insights into important health issues and the nation’s health care system while eliminating the burden of primary data collection. Data standardization and uniformity were uncommon across government entities, highlighting a need to improve data consistency. Secondary analyses of national data are a feasible, cost-efficient means to address national health concerns.
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spelling pubmed-101761482023-05-13 Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review Annis, Ann Reaves, Crista Sender, Jessica Bumpus, Sherry J Med Internet Res Review BACKGROUND: Big data from large, government-sponsored surveys and data sets offers researchers opportunities to conduct population-based studies of important health issues in the United States, as well as develop preliminary data to support proposed future work. Yet, navigating these national data sources is challenging. Despite the widespread availability of national data, there is little guidance for researchers on how to access and evaluate the use of these resources. OBJECTIVE: Our aim was to identify and summarize a comprehensive list of federally sponsored, health- and health care–related data sources that are accessible in the public domain in order to facilitate their use by researchers. METHODS: We conducted a systematic mapping review of government sources of health-related data on US populations and with active or recent (previous 10 years) data collection. The key measures were government sponsor, overview and purpose of data, population of interest, sampling design, sample size, data collection methodology, type and description of data, and cost to obtain data. Convergent synthesis was used to aggregate findings. RESULTS: Among 106 unique data sources, 57 met the inclusion criteria. Data sources were classified as survey or assessment data (n=30, 53%), trends data (n=27, 47%), summative processed data (n=27, 47%), primary registry data (n=17, 30%), and evaluative data (n=11, 19%). Most (n=39, 68%) served more than 1 purpose. The population of interest included individuals/patients (n=40, 70%), providers (n=15, 26%), and health care sites and systems (n=14, 25%). The sources collected data on demographic (n=44, 77%) and clinical information (n=35, 61%), health behaviors (n=24, 42%), provider or practice characteristics (n=22, 39%), health care costs (n=17, 30%), and laboratory tests (n=8, 14%). Most (n=43, 75%) offered free data sets. CONCLUSIONS: A broad scope of national health data is accessible to researchers. These data provide insights into important health issues and the nation’s health care system while eliminating the burden of primary data collection. Data standardization and uniformity were uncommon across government entities, highlighting a need to improve data consistency. Secondary analyses of national data are a feasible, cost-efficient means to address national health concerns. JMIR Publications 2023-04-27 /pmc/articles/PMC10176148/ /pubmed/37103987 http://dx.doi.org/10.2196/43802 Text en ©Ann Annis, Crista Reaves, Jessica Sender, Sherry Bumpus. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 27.04.2023. 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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Annis, Ann
Reaves, Crista
Sender, Jessica
Bumpus, Sherry
Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review
title Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review
title_full Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review
title_fullStr Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review
title_full_unstemmed Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review
title_short Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review
title_sort health-related data sources accessible to health researchers from the us government: mapping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176148/
https://www.ncbi.nlm.nih.gov/pubmed/37103987
http://dx.doi.org/10.2196/43802
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