Willingness of African American Women to Participate in e-Health/m-Health Research

Telemed J E Health. 2016 Mar;22(3):191-7. doi: 10.1089/tmj.2015.0071. Epub 2015 Aug 27.

Abstract

Introduction: Due to high rates of technology adoption, African American women are well positioned to benefit from e-health/mobile health (m-health) interventions; yet, there are limited data on understanding their use of technology and willingness to participate in e-health/m-health research.

Materials and methods: A self-administered survey was completed by 589 African American women. Survey items measured sociodemographics, technology use and access, and willingness to participate in e-health/m-health research. Multinomial logistic regression examined associations among three age groups (18-29, 30-50, and 51+years old) and technology access, as well as motivators and barriers to participating in e-health/m-health research.

Results: Most participants were willing to receive text messages as part of a research study. Many reported using a health-related application in the past 30 days, with younger women more likely to do so than older women (p<0.0001). Younger women were more likely than older women to be motivated for the greater good (p<0.01) and for financial incentives (p=0.02), whereas older women were more likely than younger women to be motivated if referred by a healthcare provider (p=0.02). Younger women were more likely than older women to report concerns about data plans (p<0.01 for all), whereas older women were more likely to report a lack of a smartphone (p=0.048) and privacy concerns (p<0.001).

Conclusions: Culturally tailored e-health/m-health research using smartphones may be of interest to African American women who are interested in risk reduction and chronic disease self-management. Barriers such as smartphone data plans and privacy will need to be addressed.

Keywords: behavioral health; e-health; education; mobile health.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Attitude to Health / ethnology
  • Biomedical Research*
  • Black or African American / statistics & numerical data*
  • Cross-Sectional Studies
  • Educational Status
  • Female
  • Florida
  • Humans
  • Incidence
  • Internet / statistics & numerical data
  • Logistic Models
  • Middle Aged
  • Motivation
  • Multivariate Analysis
  • Patient Participation / statistics & numerical data*
  • Smartphone / statistics & numerical data
  • Socioeconomic Factors
  • Surveys and Questionnaires*
  • Telemedicine*
  • Young Adult