Association of multimorbidity with the use of health information technology

Author:

Manning Sydney E1ORCID,Wang Hao2,Dwibedi Nilanjana3,Shen Chan4,Wiener R Constance5,Findley Patricia A6,Mitra Sophie7,Sambamoorthi Usha8

Affiliation:

1. Department of Pharmacotherapy, University of North Texas Health Science Center, Fort Worth, TX, USA

2. Department of Emergency Medicine, JPS Health Network, Integrative Emergency Services, Fort Worth, TX, USA

3. Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV, USA

4. Department of Health Services Research, Penn State College of Medicine, Hershey, PA, USA

5. Department of Dental Public Health and Professional Practice, School of Dentistry, West Virginia University, Morgantown, WV, USA

6. School of Social Work, Rutgers University, New Brunswick, NJ, USA

7. Department of Economics, Fordham University, Bronx, NY, USA

8. Department of Pharmacotherapy, College of Pharmacy, Texas Center for Health Disparities, University of North Texas Health Science Center, Fort Worth, TX, USA

Abstract

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.

Funder

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

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

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