Mobile Health Tobacco Cessation Interventions to Promote Health Equity: Current Perspectives

Samuel L. Battalio, Angela F. Pfammatter, Kiarri N. Kershaw, Alexis Hernandez, David E. Conroy, Bonnie Spring

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Although US tobacco use trends show overall improvement, social disadvantage continues to drive significant disparities. Traditional tobacco cessation interventions and public policy initiatives have failed to equitably benefit socially-disadvantaged populations. Advancements in mobile digital technologies have created new opportunities to develop resource-efficient mobile health (mHealth) interventions that, relative to traditional approaches, have greater reach while still maintaining comparable or greater efficacy. Their potential for affordability, scalability, and efficiency gives mHealth tobacco cessation interventions potential as tools to help redress tobacco use disparities. We discuss our perspectives on the state of the science surrounding mHealth tobacco cessation interventions for use by socially-disadvantaged populations. In doing so, we outline existing models of health disparities and social determinants of health (SDOH) and discuss potential ways that mHealth interventions might be optimized to offset or address the impact of social determinants of tobacco use. Because smokers from socially-disadvantaged backgrounds face multi-level barriers that can dynamically heighten the risks of tobacco use, we discuss cutting-edge mHealth interventions that adapt dynamically based on context. We also consider complications and pitfalls that could emerge when designing, evaluating, and implementing mHealth tobacco cessation interventions for socially-disadvantaged populations. Altogether, this perspective article provides a conceptual foundation for optimizing mHealth tobacco cessation interventions for the socially-disadvantaged populations in greatest need.

Original languageEnglish (US)
Article number821049
JournalFrontiers in Digital Health
Volume4
DOIs
StatePublished - Jun 30 2022

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering
  • Medicine (miscellaneous)

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