TY - JOUR
T1 - Progress towards using community context with clinical data in primary care
AU - Angier, Heather
AU - Jacobs, Elizabeth A.
AU - Huguet, Nathalie
AU - Likumahuwa-Ackman, Sonja
AU - Robert, Stephanie
AU - DeVoe, Jennifer E.
N1 - Funding Information:
Contributors HA was responsible for conceptualisation, methodology, investigation, writing, original draft preparation and project administration. EAJ was responsible for conceptualisation, writing, review and editing, and supervision. NH was responsible for conceptualisation, writing, review and editing. SL-A was responsible for writing, review and editing. SR was responsible for writing, review and editing. JEDV was responsible for conceptualisation, resources, supervision, writing, review and editing, and funding acquisition. funding This study was funded by Pisacano Leadership Foundation. Competing interests None declared.
Publisher Copyright:
© Author(s) (or their employer(s)) 2018.
PY - 2019/1
Y1 - 2019/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063725668&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063725668&partnerID=8YFLogxK
U2 - 10.1136/fmch-2018-000028
DO - 10.1136/fmch-2018-000028
M3 - Article
AN - SCOPUS:85063725668
SN - 2305-6983
VL - 7
JO - Family Medicine and Community Health
JF - Family Medicine and Community Health
IS - 1
M1 - e000028
ER -