TY - JOUR
T1 - Association of multimorbidity with the use of health information technology
AU - Manning, Sydney E.
AU - Wang, Hao
AU - Dwibedi, Nilanjana
AU - Shen, Chan
AU - Wiener, R. Constance
AU - Findley, Patricia A.
AU - Mitra, Sophie
AU - Sambamoorthi, Usha
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Institute on Minority Health and Health Disparities, National Institute of General Medical Sciences, National Institute of Health Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD), (grant number 5S21MD012472-05, 5U54GM104942-04, 1OT2OD032581-01)
Publisher Copyright:
© The Author(s) 2023.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Objective: To examine the association of multimorbidity with health information technology use among adults in the USA. Methods: We used cross-sectional study design and data from the Health Information National Trends Survey 5 Cycle 4. Health information technology use was measured with ten variables comprising access, recent use, and healthcare management. Unadjusted and adjusted logistic and multinomial logistic regressions were used to model the associations of multimorbidity with health information technology use. Results: Among adults with multimorbidity, health information technology use for specific purposes ranged from 37.8% for helping make medical decisions to 51.7% for communicating with healthcare providers. In multivariable regressions, individuals with multimorbidity were more likely to report general use of health information technology (adjusted odds ratios = 1.48, 95% confidence intervals = 1.01–2.15) and more likely to use health information technology to check test results (adjusted odds ratios = 1.85, 95% confidence intervals = 1.33–2.58) compared to adults with only one chronic condition, however, there were no significant differences in other forms of health information technology use. We also observed interactive associations of multimorbidity and age on various components of health information technology use. Compared to younger adults with multimorbidity, older adults (≥ 65 years of age) with multimorbidity were less likely to use almost all aspects of health information technology. Conclusion: Health information technology use disparities by age and multimorbidity were observed. Education and interventions are needed to promote health information technology use among older adults in general and specifically among older adults with multimorbidity.
AB - Objective: To examine the association of multimorbidity with health information technology use among adults in the USA. Methods: We used cross-sectional study design and data from the Health Information National Trends Survey 5 Cycle 4. Health information technology use was measured with ten variables comprising access, recent use, and healthcare management. Unadjusted and adjusted logistic and multinomial logistic regressions were used to model the associations of multimorbidity with health information technology use. Results: Among adults with multimorbidity, health information technology use for specific purposes ranged from 37.8% for helping make medical decisions to 51.7% for communicating with healthcare providers. In multivariable regressions, individuals with multimorbidity were more likely to report general use of health information technology (adjusted odds ratios = 1.48, 95% confidence intervals = 1.01–2.15) and more likely to use health information technology to check test results (adjusted odds ratios = 1.85, 95% confidence intervals = 1.33–2.58) compared to adults with only one chronic condition, however, there were no significant differences in other forms of health information technology use. We also observed interactive associations of multimorbidity and age on various components of health information technology use. Compared to younger adults with multimorbidity, older adults (≥ 65 years of age) with multimorbidity were less likely to use almost all aspects of health information technology. Conclusion: Health information technology use disparities by age and multimorbidity were observed. Education and interventions are needed to promote health information technology use among older adults in general and specifically among older adults with multimorbidity.
UR - http://www.scopus.com/inward/record.url?scp=85153709441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85153709441&partnerID=8YFLogxK
U2 - 10.1177/20552076231163797
DO - 10.1177/20552076231163797
M3 - Article
C2 - 37124332
AN - SCOPUS:85153709441
SN - 2055-2076
VL - 9
JO - Digital Health
JF - Digital Health
ER -