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Progress towards using community context with clinical data in primary care
Community-level factors have significant impacts on health. There is renewed enthusiasm for integrating these data with electronic health record (EHR) data for use in primary care to improve health equity in the USA. Thus, it is valuable to reflect on what has been published to date. Specifically, w...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951248/ https://www.ncbi.nlm.nih.gov/pubmed/32148692 http://dx.doi.org/10.1136/fmch-2018-000028 |
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author | Angier, Heather Jacobs, Elizabeth A Huguet, Nathalie Likumahuwa-Ackman, Sonja Robert, Stephanie DeVoe, Jennifer E |
author_facet | Angier, Heather Jacobs, Elizabeth A Huguet, Nathalie Likumahuwa-Ackman, Sonja Robert, Stephanie DeVoe, Jennifer E |
author_sort | Angier, Heather |
collection | PubMed |
description | Community-level factors have significant impacts on health. There is renewed enthusiasm for integrating these data with electronic health record (EHR) data for use in primary care to improve health equity in the USA. Thus, it is valuable to reflect on what has been published to date. Specifically, we comment on: (1) recommendations about combining community-level factors in EHRs for use in primary care; (2) examples of how these data have been combined and used; and (3) the impact of using combined data on healthcare, patient health and health equity. We found publications discussing the potential of combined data to inform clinical care, target interventions, track population health and spark community partnerships with the goal of reducing health disparities and improving health equity. Although there is great enthusiasm and potential for using these data to inform primary care, there is little evidence of improved healthcare, patient health or health equity. |
format | Online Article Text |
id | pubmed-6951248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69512482020-03-06 Progress towards using community context with clinical data in primary care Angier, Heather Jacobs, Elizabeth A Huguet, Nathalie Likumahuwa-Ackman, Sonja Robert, Stephanie DeVoe, Jennifer E Fam Med Community Health Commentary Community-level factors have significant impacts on health. There is renewed enthusiasm for integrating these data with electronic health record (EHR) data for use in primary care to improve health equity in the USA. Thus, it is valuable to reflect on what has been published to date. Specifically, we comment on: (1) recommendations about combining community-level factors in EHRs for use in primary care; (2) examples of how these data have been combined and used; and (3) the impact of using combined data on healthcare, patient health and health equity. We found publications discussing the potential of combined data to inform clinical care, target interventions, track population health and spark community partnerships with the goal of reducing health disparities and improving health equity. Although there is great enthusiasm and potential for using these data to inform primary care, there is little evidence of improved healthcare, patient health or health equity. BMJ Publishing Group 2018-12-06 /pmc/articles/PMC6951248/ /pubmed/32148692 http://dx.doi.org/10.1136/fmch-2018-000028 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Commentary Angier, Heather Jacobs, Elizabeth A Huguet, Nathalie Likumahuwa-Ackman, Sonja Robert, Stephanie DeVoe, Jennifer E Progress towards using community context with clinical data in primary care |
title | Progress towards using community context with clinical data in primary care |
title_full | Progress towards using community context with clinical data in primary care |
title_fullStr | Progress towards using community context with clinical data in primary care |
title_full_unstemmed | Progress towards using community context with clinical data in primary care |
title_short | Progress towards using community context with clinical data in primary care |
title_sort | progress towards using community context with clinical data in primary care |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951248/ https://www.ncbi.nlm.nih.gov/pubmed/32148692 http://dx.doi.org/10.1136/fmch-2018-000028 |
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