The Use of Online Health-Management Tools and Health Care Utilization among Older Americans
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Author/Creator
Author/Creator ORCID
Date
2020-07-07
Type of Work
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Citation of Original Publication
Darren Liu, Takashi Yamashita, Betty Burston and Jennifer R Keene, The Use of Online Health-Management Tools and Health Care Utilization Among Older Americans, The Gerontologist, , gnaa068, https://doi.org/10.1093/geront/gnaa068
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This is a pre-copyedited, author-produced version of an article accepted for publication in The Gerontologist following peer review. The version of record Darren Liu, Takashi Yamashita, Betty Burston and Jennifer R Keene, The Use of Online Health-Management Tools and Health Care Utilization Among Older Americans, The Gerontologist, , gnaa068, https://doi.org/10.1093/geront/gnaa068 is available online at: https://doi.org/10.1093/geront/gnaa068.
Access to this item will begin on 6/11/21
This is a pre-copyedited, author-produced version of an article accepted for publication in The Gerontologist following peer review. The version of record Darren Liu, Takashi Yamashita, Betty Burston and Jennifer R Keene, The Use of Online Health-Management Tools and Health Care Utilization Among Older Americans, The Gerontologist, , gnaa068, https://doi.org/10.1093/geront/gnaa068 is available online at: https://doi.org/10.1093/geront/gnaa068.
Access to this item will begin on 6/11/21
Subjects
Abstract
Background and Objectives
The digital divide, or differences in access to technology, can have far-reaching consequences. This study identified disparities in access to online health-related technology. It then investigated associations between online health-related technology use and health care utilization among older adults in the United States.
Research Design and Methods
The study used a cross-sectional data set of 1,497 adults aged 51 and older from the 2014 Health and Retirement Study (HRS)’s supplemental module (Health Behaviors) and the RAND version of the HRS fat file.
Results
Older age, being a racial/ethnic minority, married, uninsured, and having lower educational attainment, lower income, and reporting poorer health were each associated with lower levels of use of online health-management tools. The use of online health-management tools was associated with a 34% greater mean number of doctor visits (incidence rate ratio = 1.34, SE = 0.10, p < .05) than nonuse. However, such use was not associated with the number or type of hospitalizations. Indeed, only health care needs as measured by self-rated health status (odds ratio [OR] = 0.58, SE = 0.18, p < .05) and the number of chronic conditions were associated with hospitalizations (OR = 1.68, SE = 0.07, p < .05).
Discussion and Implications
While more research is needed to clarify the purposes (e.g., prevention vs. treatment) and outcomes of health care service utilization as a function of technology use, it may be wise to proactively tackle the digital divide as one upstream strategy for improving various health and health care outcomes among older adults.