Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC
Purpose: Mobile health technology (mHealth) can reduce health disparities, but research on the health behaviors of low-income patients is needed. This study evaluates mHealth knowledge and practices of low-resource safety-net patients. Methods: We administered a 47-item questionnaire to 164 low-inco...
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Aurora Health Care
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doaj-b0f96606474443ed8bcbc00630568a702020-11-24T22:25:47ZengAurora Health CareJournal of Patient-Centered Research and Reviews 2330-06982018-07-015320421710.17294/2330-0698.1622Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DCSharon S. Laing0Muhammad Alsayid1Carlota Ocampo2Stacey Baugh3University of Washington Tacoma, Tacoma, WA; University of Washington School of Public Health, Seattle, WAUniversity of Washington School of Public Health, Seattle, WA; University of Massachusetts Medical School, Worcester, MATrinity Washington University, Washington, DCTrinity Washington University, Washington, DCPurpose: Mobile health technology (mHealth) can reduce health disparities, but research on the health behaviors of low-income patients is needed. This study evaluates mHealth knowledge and practices of low-resource safety-net patients. Methods: We administered a 47-item questionnaire to 164 low-income patients accessing services at community health centers in the state of Washington and Washington, DC. Predictor variables included demographic factors: age, race, ethnicity, income. Outcome variables were smartphone knowledge (smartphones as a wellness tool), medical app knowledge (availability of medical-based apps), smartphone practices (ever used smartphones for wellness), health apps practices (ever used health-based apps), and medical apps practices (ever used medical-based apps). Multivariate logistic regression assessed relationships between predictor and outcome variables. Results: Mean age was 35.2 years (median: 34), and study cohort (N = 159) consisted of mostly women (68%), white race (36%), and income of < $20,000/year (63%). Outcomes: 71% and 58% reported knowledge of using smartphones for wellness and knowledge of medical apps, respectively; 76% used smartphones for wellness, with adults 50+ years of age significantly less likely than younger adults (odds ratio [OR]: 0.94, 95% confidence interval [CI]: 0.88–0.99); 48% used health apps, with adults 50+ years of age less likely than younger adults (OR: 0.95, 95% CI: 0.91–0.99) and respondents earning < $20,000/year less likely than higher earners (OR: 3.13, 95% CI: 1.02–9.57); and 58% used medical apps, with Hispanics/Latinos significantly more likely than non-Hispanics/Latinos (OR: 6.38, 95% CI: 1.04–39.02). Conclusions: Safety-net patients use mobile devices for health promotion. Age and income are important predictive factors, suggesting a more tailored design of the technology is required for broad engagement and health equity.https://digitalrepository.aurorahealthcare.org/cgi/viewcontent.cgi?article=1622&context=jpcrrknowledgepracticessafety-net patientsmobile health promotiontelehealthsmartphone |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sharon S. Laing Muhammad Alsayid Carlota Ocampo Stacey Baugh |
spellingShingle |
Sharon S. Laing Muhammad Alsayid Carlota Ocampo Stacey Baugh Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC Journal of Patient-Centered Research and Reviews knowledge practices safety-net patients mobile health promotion telehealth smartphone |
author_facet |
Sharon S. Laing Muhammad Alsayid Carlota Ocampo Stacey Baugh |
author_sort |
Sharon S. Laing |
title |
Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC |
title_short |
Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC |
title_full |
Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC |
title_fullStr |
Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC |
title_full_unstemmed |
Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC |
title_sort |
mobile health technology knowledge and practices among patients of safety-net health systems in washington state and washington, dc |
publisher |
Aurora Health Care |
series |
Journal of Patient-Centered Research and Reviews |
issn |
2330-0698 |
publishDate |
2018-07-01 |
description |
Purpose: Mobile health technology (mHealth) can reduce health disparities, but research on the health behaviors of low-income patients is needed. This study evaluates mHealth knowledge and practices of low-resource safety-net patients. Methods: We administered a 47-item questionnaire to 164 low-income patients accessing services at community health centers in the state of Washington and Washington, DC. Predictor variables included demographic factors: age, race, ethnicity, income. Outcome variables were smartphone knowledge (smartphones as a wellness tool), medical app knowledge (availability of medical-based apps), smartphone practices (ever used smartphones for wellness), health apps practices (ever used health-based apps), and medical apps practices (ever used medical-based apps). Multivariate logistic regression assessed relationships between predictor and outcome variables. Results: Mean age was 35.2 years (median: 34), and study cohort (N = 159) consisted of mostly women (68%), white race (36%), and income of < $20,000/year (63%). Outcomes: 71% and 58% reported knowledge of using smartphones for wellness and knowledge of medical apps, respectively; 76% used smartphones for wellness, with adults 50+ years of age significantly less likely than younger adults (odds ratio [OR]: 0.94, 95% confidence interval [CI]: 0.88–0.99); 48% used health apps, with adults 50+ years of age less likely than younger adults (OR: 0.95, 95% CI: 0.91–0.99) and respondents earning < $20,000/year less likely than higher earners (OR: 3.13, 95% CI: 1.02–9.57); and 58% used medical apps, with Hispanics/Latinos significantly more likely than non-Hispanics/Latinos (OR: 6.38, 95% CI: 1.04–39.02). Conclusions: Safety-net patients use mobile devices for health promotion. Age and income are important predictive factors, suggesting a more tailored design of the technology is required for broad engagement and health equity. |
topic |
knowledge practices safety-net patients mobile health promotion telehealth smartphone |
url |
https://digitalrepository.aurorahealthcare.org/cgi/viewcontent.cgi?article=1622&context=jpcrr |
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