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...

Full description

Bibliographic Details
Main Authors: Sharon S. Laing, Muhammad Alsayid, Carlota Ocampo, Stacey Baugh
Format: Article
Language:English
Published: Aurora Health Care 2018-07-01
Series:Journal of Patient-Centered Research and Reviews
Subjects:
Online Access:https://digitalrepository.aurorahealthcare.org/cgi/viewcontent.cgi?article=1622&context=jpcrr
id doaj-b0f96606474443ed8bcbc00630568a70
record_format Article
spelling 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
work_keys_str_mv AT sharonslaing mobilehealthtechnologyknowledgeandpracticesamongpatientsofsafetynethealthsystemsinwashingtonstateandwashingtondc
AT muhammadalsayid mobilehealthtechnologyknowledgeandpracticesamongpatientsofsafetynethealthsystemsinwashingtonstateandwashingtondc
AT carlotaocampo mobilehealthtechnologyknowledgeandpracticesamongpatientsofsafetynethealthsystemsinwashingtonstateandwashingtondc
AT staceybaugh mobilehealthtechnologyknowledgeandpracticesamongpatientsofsafetynethealthsystemsinwashingtonstateandwashingtondc
_version_ 1725756412788736000