Cited by 12Smoking Behavior and CessationMindfulness and Compassion InterventionsMobile Health and mHealth Applications

Using SmartQuit®, an Acceptance and Commitment Therapy Smartphone application, to reduce smoking intake

Open access
Singh, Satvir, Starkey, Nicola J, Sargisson, Rebecca J·2017·DIGITAL HEALTH

Abstract

Objective: SmartQuit® is a smartphone application (app) for smoking cessation based on Acceptance and Commitment Therapy, a behavioural therapy that encourages individuals to accept internal experiences, such as cravings to smoke, without acting on those experiences or urges. We used a single-subject (A-B-A) design with 10 participants to examine whether SmartQuit® use would reduce cigarette intake in a New Zealand sample. Methods: 10 smokers tallied their own cravings experienced and cigarettes smoked then sent those tallies to the first author every day until we observed stable patterns (Phase A1). We then gave the participants individual access to the SmartQuit® app (Phase B). When they advised that they had ceased using the app, they again recorded daily cravings and cigarettes smoked for a minimum of three days (Phase A2). We also collected follow-up smoking and craving data at 1, 2 and up to 13 months after completion of Phase A2. Results: Using SmartQuit® reduced our participants’ daily cigarette intake significantly in the short-term and three individuals remained smoke-free up to 13 months later. Cravings to smoke did not differ significantly across Phases A1, B and A2, but graphical analysis showed a trend for decreasing cravings. Conclusion: Our results suggest that SmartQuit® provides another readily accessible intervention to help people stop smoking and is suited for use with a New Zealand population.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/2055207617729535

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Singh, S., Starkey, N. J., & Sargisson, R. J.
Affiliations
University of Waikato (NZ)
Corresponding author
Sargisson, Rebecca J
Venue
DIGITAL HEALTH
Published
2017-01
Volume
3
Pages
2055207617729535-2055207617729535
ISSN
2055-2076 (ISSN-L)
OpenAlex
W2754213248
Cited by
12
References
32
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 2 · 2019: 2 · 2018: 1
FWCI
0.61
Type
journal article
Language
en
Open access
Locations
  • Digital Health (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Research Commons (University of Waikato) (submittedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
acceptance and commitment therapy, smoking cessation, mobile application, cigarette craving, digital health interventions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review