Evidence map›Paper›PMID 35310552›Full record

ArticleFrontiers in digital health2022

New Directions for Motivational Incentive Interventions for Smoking Cessation.

Lara N Coughlin, Erin E Bonar, Maureen A Walton, Anne C Fernandez, Isabelle Duguid, Inbal Nahum-Shani

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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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 1 institution in 1 country.

Lara N CoughlinAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Erin E BonarAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Maureen A WaltonAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Anne C FernandezAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Isabelle DuguidAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Inbal Nahum-ShaniInstitute for Social Research, University of Michigan, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · US

Funding

Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Inbal Billie Nahum-Shani · 2021 to 2026
$18.2M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs SupplementU01CA229437 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAHUM-SHANI, INBAL BILLIE, WETTER, DAVID W · 2018 to 2022
$2.8M
Optimizing mobile behavioral economic interventions for rural risky drinkersK23AA028232 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COUGHLIN, LARA NICOLE · 2020 to 2024
$983k
NCI NIH HHS U01 CA229437NIAAA NIH HHS K23 AA028232NIDA NIH HHS P50 DA054039NIDA NIH HHS R01 DA039901
6 · The paper itself

Abstract

Background: Motivational incentive interventions are highly effective for smoking cessation. Yet, these interventions are not widely available to people who want to quit smoking, in part, due to barriers such as administrative burden, concern about the use of extrinsic reinforcement (i.e., incentives) to improve cessation outcomes, suboptimal intervention engagement, individual burden, and up-front costs. Purpose: Technological advancements can mitigate some of these barriers. For example, mobile abstinence monitoring and digital, automated incentive delivery have the potential to lower the clinic burden associated with monitoring abstinence and administering incentives while also reducing the frequency of clinic visits. However, to fully realize the potential of digital technologies to deliver motivational incentives it is critical to develop strategies to mitigate longstanding concerns that reliance on extrinsic monetary reinforcement may hamper internal motivation for cessation, improve individual engagement with the intervention, and address scalability limitations due to the up-front cost of monetary incentives. Herein, we describe the state of digitally-delivered motivational incentives. We then build on existing principles for creating just-in-time adaptive interventions to highlight new directions in leveraging digital technology to improve the effectiveness and scalability of motivational incentive interventions. Conclusions: Technological advancement in abstinence monitoring coupled with digital delivery of reinforcers has made the use of motivational incentives for smoking cessation increasingly feasible. We propose future directions for a new era of motivational incentive interventions that leverage technology to integrate monetary and non-monetary incentives in a way that addresses the changing needs of individuals as they unfold in real-time.

Indexed as

cigarettecontingency management (CM)just-in-time adaptive intervention (JITAI)motivational incentivessmoking cessation

Identifiers

PMID35310552
PMCPMC8931767
OpenAlexW4214530918

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.