Evidence map›Paper›PMID 40223053›Full record

SynthesisBMC medicine2025

Evaluating digital nudge interventions for the promotion of cancer screening behavior: a systematic review and meta-analysis.

Fangfang Wang, Yonglin Li, Chenxing Zhang, Rachel Arbing, Wei-Ti Chen, Feifei Huang

Registry-linked trialAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07779161 (Effect of Reminder Strategies on No-Show Rates in a Nicotine Cessation Clinic), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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.

NCT07779161 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Reminder Strategies on No-Show Rates in a Nicotine Cessation Clinic: A Randomized Controlled Trial

TypeinterventionalSponsorMedical University of GdanskRan2026 to 2027Enrolled300ConditionsBehavioral Intervention, Nicotine AddictionArmsStandard phone call, phone call with MINDSPACE elements
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  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.

Fangfang Wang *School of Nursing, Fujian Medical University, No 1, Xueyu Road, Minhou County, Fuzhou, Fujian, 350108, China.
Yonglin Li *School of Nursing, Fujian Medical University, No 1, Xueyu Road, Minhou County, Fuzhou, Fujian, 350108, China.
Chenxing ZhangSchool of Nursing, Fujian Medical University, No 1, Xueyu Road, Minhou County, Fuzhou, Fujian, 350108, China.
Rachel ArbingSchool of Nursing, University of California los Angeles, 700 Tiverton Avenue, Los Angeles, CA, 90095, USA.
Wei-Ti ChenSchool of Nursing, University of California los Angeles, 700 Tiverton Avenue, Los Angeles, CA, 90095, USA. wchen@sonnet.ucla.edu.ORCID http://orcid.org/0000-0002-2342-045X
Feifei HuangSchool of Nursing, Fujian Medical University, No 1, Xueyu Road, Minhou County, Fuzhou, Fujian, 350108, China. pt860315@163.com.ORCID http://orcid.org/0000-0003-0197-8687

Funding

National Natural Science Foundation of China 72304068
6 · The paper itself

Abstract

backgroundPublic adherence to cancer screening remains low and is influenced by both rational and non-rational factors, including decision biases that underestimate screening benefits. Digital nudge interventions have shown promise in promoting screening behaviors among at-risk populations, but systematic evidence is still lacking. This study aims to synthesize the effects of digital nudge interventions on promoting cancer screening behaviors in high-risk individuals.

methodsA systematic search of 10 electronic databases was conducted, and studies published before April 1, 2024, were included. Eligible studies were randomized controlled trials (RCTs) that compared the effects of digital nudge interventions on cancer screening behavior with those of a control group and reported at least one outcome. The risk of bias was evaluated using the Cochrane Risk of Bias tool. Data on cancer screening uptake rates were pooled using a random-effects model. Subgroup analyses were performed for cancer types, intervention media, delivery conditions, and sensitivity. The study identified digital nudge strategies via the MINDSPACE framework and explored their influence on screening behavior through the HSM.

resultsOf the 14 randomized controlled trials included, 10 reported statistically significant results. The types of interventions in these studies were heterogeneous and available across multiple delivery channels based on the web, computer programmes, DVDs, telephones, patient navigation, or apps that tailored or served interactive information to participants to better understand screening risks and options. A random-effects model showed that digital nudge intervention strategies significantly improved adherence to cancer screening behavior (OR = 1.81, 95% CI = 1.35-2.44, p < 0.001). Differences between cancer types, intervention media, and delivery conditions were noted. Based on the MINDSPACE framework and HSM, eight nudge strategies were designed to promote screening behaviors, with the most common being the default strategy (n = 9). Most nudge tools were designed to leverage unconscious System 1 thinking, aiming to influence behavior in a more spontaneous and subtle way.

conclusionsWhile digital nudge interventions have demonstrated significant positive effects in promoting early cancer screening participation among high-risk individuals, their impact varies. More robust research is needed to address methodological limitations and facilitate broader adoption and application of these interventions.

Indexed as

Early Detection of CancerHealth BehaviorHealth PromotionNeoplasmsHumansRandomized Controlled Trials as TopicCancer screening behaviorDigital nudgeMeta-analysisSystematic review

Identifiers

PMID40223053
PMCPMC11995504

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Registered trials

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.