Evidence map›Paper›PMID 40720905›Full record

ArticleJMIR mHealth and uHealth2025

Population-Level Dissemination of a Smoking Cessation Smartphone App: Quasi-Experimental Comparison of Values-Based Messages in Social Media Advertisements.

Jonathan B Bricker, Margarita Santiago-Torres, Kristin E Mull, Brianna M Sullivan, Ravi Mehrotra

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jonathan B BrickerCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Avenue North, Seattle, WA, 98109, United States, 1 206 667 5074, 1 206 667 5977.ORCID 0000-0002-5694-8795
Margarita Santiago-TorresCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Avenue North, Seattle, WA, 98109, United States, 1 206 667 5074, 1 206 667 5977.ORCID 0000-0001-6051-3172
Kristin E MullCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Avenue North, Seattle, WA, 98109, United States, 1 206 667 5074, 1 206 667 5977.ORCID 0000-0002-7918-3078
Brianna M SullivanCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Avenue North, Seattle, WA, 98109, United States, 1 206 667 5074, 1 206 667 5977.ORCID 0000-0001-8290-780X
Ravi MehrotraCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Avenue North, Seattle, WA, 98109, United States, 1 206 667 5074, 1 206 667 5977.ORCID 0000-0001-9453-1408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cigarette smoking is prevalent in many countries worldwide, especially in low- and middle-income countries (LMICs), presenting an urgent public health challenge. Disseminating freely available smoking cessation treatments that effectively decrease cigarette smoking globally is urgently needed. Objective: Identify the highest impact and most cost-effective values-based social media advertisements to disseminate our smoking cessation smartphone app, "iCanQuit", among adults living in 7 major cities of India. Values represented in the advertisements included family, relationships, self-care, health, and self-control. Using a quasi-experimental design, we aimed to determine (1) which values-based advertisements had the highest smoking cessation app dissemination reach, as measured by click-through rate (CTR), app installs, and app usage metrics; and (2) which values-based message advertisements were more cost-effective as measured by cost-per-impression, cost-per-click, and cost-per-install. The study population included a selected media market of individuals living in 7 metro cities of India - Delhi, Mumbai, Kolkata, Chennai, Bengaluru, Hyderabad, and Pune - who were exposed to one of 6 social media advertisements from January 16 to May 5, 2024. Methods: The advertisement campaign design for each of the identified values, based on previous smoking cessation trial data, followed a collaborative iterative process. Advertisements ran sequentially for 16 weeks. Advertisement exposure and app usage data were objectively collected via Google's Display & Video 360 advertisements campaign management and Firebase app development platforms. Advertisement exposure impact on app engagement was measured via several metrics, including click-through rate (CTR, ie, the likelihood of user clicks on an advertisement after seeing it), the number of app installs (ie, a user opening the app for the first time after downloading it), and the number of app sessions (ie, app usage). Cost efficiency was measured via cost per click and cost per install for each ad. Results: Overall, the CTR was 5%. The app was installed 5111 times. The average cost per click and cost per app install across all advertisements were US $ 0.006 and US $ 6.43, respectively. The advertisements with the lowest cost per install (range: US $4.83-US $5.16) and highest CTR (between 6% and 9%) focused on the values of family, health, and self-control. Advertisements focused on the values of relationships and self-care had modestly higher levels of engagement. Conclusions: Advertisements focusing on the values of family, health, and self-control had the highest potential reach at the lowest cost. Overall, these findings provide insights into the reach and cost-effectiveness of values-based messages in social media advertisements, guiding future outreach efforts for population-level dissemination of smoking cessation apps.

Indexed as

AdvertisingMobile ApplicationsSmoking CessationSocial MediaAdultCost-Benefit AnalysisFemaleHumansIndiaMaleMiddle AgedSmartphoneadvertisementdisseminationiCanQuitIndiasmartphone applicationssmoking cessationsocial mediavalues-based messages

Identifiers

PMID40720905
PMCPMC12303548

What OpenQuestion holds

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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.