Evidence map›Paper›PMID 35847415›Full record

ArticleFrontiers in digital health2022

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

Open access · goldAbstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Samuel L BattalioDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Angela F PfammatterDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Kiarri N KershawDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Alexis HernandezDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
David E ConroyDepartment of Kinesiology, The Pennsylvania State University (PSU), University Park, PA, United States.
Bonnie SpringDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Northwestern University · USPennsylvania State University · US

Funding

A Mixed-Methods Evaluation of mHealth Weight Management for Racial/Ethnic MinoritiesF31HL162555 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BATTALIO, SAMUEL LOUIS · 2022 to 2024
$130k
NHLBI NIH HHS F31 HL162555
6 · The paper itself

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.

Indexed as

cessationdisparities (healthdisparities (health racial)mHealth (mobile health)tobacco and tobacco product

Identifiers

PMID35847415
PMCPMC9284415
OpenAlexW4283721852

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.