TY - JOUR
T1 - Electronic health record access by patients as an indicator of information seeking and sharing for cardiovascular health promotion in social networks
T2 - Secondary analysis of a randomized clinical trial
AU - Brown, Sherry Ann N.
AU - Jouni, Hayan
AU - Kullo, Iftikhar J.
N1 - Funding Information:
We are grateful to Dr. Joan Griffin at Mayo Clinic in Rochester, MN and Dr. Janet Okamoto at Mayo Clinic in Scottsdale, AZ for helpful discussions and reading the manuscript. This study was funded by the NHGRI-funded eMERGE (Electronic Records and Genomics) Network (U01HG006379). Dr. Kullo is additionally funded by K24 HL137010. The Mayo Clinic Biobank was funded by the Mayo Clinic Center for Individualized Medicine. Use of REDCap was funded by the Center for Clinical and Translational Science grant support ( UL1TR000135 ).
Funding Information:
We are grateful to Dr. Joan Griffin at Mayo Clinic in Rochester, MN and Dr. Janet Okamoto at Mayo Clinic in Scottsdale, AZ for helpful discussions and reading the manuscript. This study was funded by the NHGRI-funded eMERGE (Electronic Records and Genomics) Network (U01HG006379). Dr. Kullo is additionally funded by K24 HL137010. The Mayo Clinic Biobank was funded by the Mayo Clinic Center for Individualized Medicine. Use of REDCap was funded by the Center for Clinical and Translational Science grant support (UL1TR000135).
Publisher Copyright:
© 2019 The Authors
PY - 2019/3
Y1 - 2019/3
N2 - We investigated electronic health record (EHR) access as an indicator of cardiovascular health promotion by patients in their social networks, by identifying individuals who viewed their coronary heart disease (CHD) risk information in the EHR and shared this information in their social networks among various spheres of influence. In a secondary analysis of the Myocardial Infarction Genes trial, Olmsted County MN residents (2013–2015; n = 203; whites, ages 45–65 years) at intermediate CHD risk were randomized to receive their conventional risk score (CRS; based on traditional risk factors) alone or also their genetic risk score (GRS; based on 28 genomic variants). We assessed self-reported and objectively quantified EHR access via a patient portal at three and six months after risk disclosure, and determined whether this differed by GRS disclosure. Data were analyzed using logistic regression and adjusted for sociodemographic characteristics, family history, and baseline CRS/GRS. Self-reported EHR access to view CHD risk information was associated with a high frequency of objectively quantified EHR access (71(10) versus 37(5) logins; P = 0.0025) and a high likelihood of encouraging others to be screened for their CHD risk (OR 2.936, CI 1.443–5.973, P = 0.0030), compared to the absence of self-reported EHR access to view CHD risk information. We thereby used EHR access trends to identify individuals who may function as disseminators of CHD risk information in social networks, compared to individuals on the periphery of their social networks who did not exhibit this behavior. Partnering with such individuals could amplify CHD health promotion. Clinical Trial Registration: Myocardial Infarction Genes (MI-GENES) Study, NCT01936675, https://clinicaltrials.gov/ct2/show/NCT01936675.
AB - We investigated electronic health record (EHR) access as an indicator of cardiovascular health promotion by patients in their social networks, by identifying individuals who viewed their coronary heart disease (CHD) risk information in the EHR and shared this information in their social networks among various spheres of influence. In a secondary analysis of the Myocardial Infarction Genes trial, Olmsted County MN residents (2013–2015; n = 203; whites, ages 45–65 years) at intermediate CHD risk were randomized to receive their conventional risk score (CRS; based on traditional risk factors) alone or also their genetic risk score (GRS; based on 28 genomic variants). We assessed self-reported and objectively quantified EHR access via a patient portal at three and six months after risk disclosure, and determined whether this differed by GRS disclosure. Data were analyzed using logistic regression and adjusted for sociodemographic characteristics, family history, and baseline CRS/GRS. Self-reported EHR access to view CHD risk information was associated with a high frequency of objectively quantified EHR access (71(10) versus 37(5) logins; P = 0.0025) and a high likelihood of encouraging others to be screened for their CHD risk (OR 2.936, CI 1.443–5.973, P = 0.0030), compared to the absence of self-reported EHR access to view CHD risk information. We thereby used EHR access trends to identify individuals who may function as disseminators of CHD risk information in social networks, compared to individuals on the periphery of their social networks who did not exhibit this behavior. Partnering with such individuals could amplify CHD health promotion. Clinical Trial Registration: Myocardial Infarction Genes (MI-GENES) Study, NCT01936675, https://clinicaltrials.gov/ct2/show/NCT01936675.
KW - Behavior modification
KW - Electronic health records
KW - Genetics
KW - Patient engagement
KW - Patient portals
KW - Personal health records
KW - Risk assessment
KW - Risk factors
KW - Social network
UR - http://www.scopus.com/inward/record.url?scp=85060924608&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060924608&partnerID=8YFLogxK
U2 - 10.1016/j.pmedr.2018.12.011
DO - 10.1016/j.pmedr.2018.12.011
M3 - Article
AN - SCOPUS:85060924608
SN - 2211-3355
VL - 13
SP - 306
EP - 313
JO - Preventive Medicine Reports
JF - Preventive Medicine Reports
ER -