Literature DB >> 35308912

Investigating Health Information Technology Usage by Sociodemographic Subpopulations to Increase Community Engagement in Healthcare: An Analysis of the Health Information National Trends Survey.

Geetanjali Rajamani1, Lianne Kurina1,2, Lisa Goldman Rosas2.   

Abstract

It is well known that the US is plagued by health inequities: unjust differences in morbidity and mortality rates by sociodemographic factors. A potential method to address such inequities lies in utilizing health information technologies (HIT) to reach under-resourced populations and increase their involvement in healthcare. Previous researchers have done just this, using HIT tools to engage under-resourced communities and improve outcomes. However, it is unclear how HIT usage varies by sociodemographic characteristics. This study investigated this question through analysis of the Health Information National Trends Survey (HINTS) and proposed tailored HIT interventions for specific subpopulations. Internet, smartphone, and wearable device usage were analyzed by age, race/ethnicity, educational attainment, and income; purposes of HIT usage were assessed; and logistic regression models were conducted to determine associations between purposes of HIT usage and sociodemographic predictors. Results showed that Black/African American, Latinx, and Asian populations all had significantly increased use of health videos, while participants with low educational attainment had significantly decreased use of many HIT tools. Thus, this study highlights effective interventions for specific racial/ethnic populations and showcases a need for HIT tools inclusive towards low education populations to increase their engagement in healthcare and reduce inequities. ©2021 AMIA - All rights reserved.

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Year:  2022        PMID: 35308912      PMCID: PMC8861741     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  3 in total

1.  Using Health IT to Coordinate Care and Improve Quality in Safety-Net Clinics.

Authors:  Ashley M Kranz; Sarah Dalton; Cheryl Damberg; Justin W Timbie
Journal:  Jt Comm J Qual Patient Saf       Date:  2018-06-18

2.  Health Literacy and Health Information Technology Adoption: The Potential for a New Digital Divide.

Authors:  Michael Mackert; Amanda Mabry-Flynn; Sara Champlin; Erin E Donovan; Kathrynn Pounders
Journal:  J Med Internet Res       Date:  2016-10-04       Impact factor: 5.428

3.  Mobile and Connected Health Technology Needs for Older Adults Aging in Place: Cross-Sectional Survey Study.

Authors:  Jing Wang; Yan Du; Deidra Coleman; Michelle Peck; Sahiti Myneni; Hong Kang; Yang Gong
Journal:  JMIR Aging       Date:  2019-05-15
  3 in total
  1 in total

1.  Health Information Technology Use among Chronic Disease Patients: An Analysis of the United States Health Information National Trends Survey.

Authors:  Geetanjali Rajamani; Elizabeth Lindemann; Michael D Evans; Raghu Pillai; Sameer Badlani; Genevieve B Melton
Journal:  Appl Clin Inform       Date:  2022-08-11       Impact factor: 2.762

  1 in total

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