Evidence map›Paper›PMID 40417472›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Development of Chatbot-Assisted Smoking Cessation Telehealth Intervention: A Case Report.

Jeeyae Choi, Anastasiya Ferrell, Katelyn Reiland, Julia Bertoldi, Alyssa Robb, Hanjoo Lee

Abstract readCase Reports
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jeeyae ChoiSchool of Nursing, University of North Carolina Wilmington, Wilmington, NC, USA.
Anastasiya FerrellSchool of Nursing, University of North Carolina Wilmington, Wilmington, NC, USA.
Katelyn ReilandPublic Health Department, University of North Carolina Wilmington, Wilmington, NC, USA.
Julia BertoldiSchool of Nursing, University of North Carolina Wilmington, Wilmington, NC, USA.
Alyssa RobbSchool of Nursing, University of North Carolina Wilmington, Wilmington, NC, USA.
Hanjoo LeeJoint Biomedical Engineering Department, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco use is still a top preventable public health concern in the US. It causes serious health problems, including the cardiovascular system, lungs, mental issues, and cancers. To help tobacco users who want to quit, we developed a chatbot-assisted smoking cessation telehealth intervention targeting adults. This case report describes the development and evaluation of developed telehealth intervention. Utilizing rule-based chatbots and motivational interviewing principles, the study aimed to assess intervention efficacy. Data from four participants revealed varying impacts on motivation, nicotine dependency, and confidence to quit smoking. Most participants reported engaging in suggested strategies for handling tobacco cravings, indicating the potential advantage of chatbot assistance. However, the small sample size limits the generalizability of findings, necessitating further evaluation with a larger group. Despite limitations, this study demonstrates the feasibility and potential effectiveness of chatbot-assisted telehealth interventions in smoking cessation efforts, underscoring the need for future research.

Indexed as

Motivational InterviewingSmoking CessationGenerative Artificial IntelligenceHumansTelemedicine

Identifiers

PMID40417472
PMCPMC12099432

What OpenQuestion holds

Textmetadata
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.