Evidence map›Paper›PMID 42741336›Full record

SynthesisFrontiers in public health2026

Digital tools to enhance adherence to cervical cancer prevention practices: systematic review.

Ayagyoz Umbetzhanova, Adina Kusniyeva, Gulmira Derbissalina, Almabayeva Aigul, Çigdem Çaglayan, Gulnur Tanbayeva, Vitaliy Koikov, Naila Toktarova, Zhanagul Bekbergenova

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2026. 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

9 authors.

Ayagyoz UmbetzhanovaDepartment of General Medical Practice with a Course in Evidence-based Medicine, Astana Medical University, Astana, Kazakhstan.
Adina KusniyevaDepartment of General Medical Practice with a Course in Evidence-based Medicine, Astana Medical University, Astana, Kazakhstan.
Gulmira DerbissalinaDepartment of General Medical Practice with a Course in Evidence-based Medicine, Astana Medical University, Astana, Kazakhstan.
Almabayeva AigulDepartment of General Medical Practice with a Course in Evidence-based Medicine, Astana Medical University, Astana, Kazakhstan.
Çigdem ÇaglayanFaculty of Medicine, Internal Medicine Sciences, Kocaeli University, Izmit, Türkiye.
Gulnur TanbayevaDepartment of Health Policy and Organization, Farabi University, Almaty, Kazakhstan.
Vitaliy KoikovMinistry of Health of the Republic of Kazakhstan, Astana, Kazakhstan.
Naila ToktarovaDepartment of Health Policy and Organization, Farabi University, Almaty, Kazakhstan.
Zhanagul BekbergenovaDepartment of Health Policy and Organization, Farabi University, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human papillomavirus (HPV) vaccination and regular cervical screening are fundamental pillars of the World Health Organization (WHO) strategy to eliminate cervical cancer. While conventional one-way digital notifications moderately support preventive uptake, the specific behavioral impact of two-way, interactive patient-facing digital assistants-such as conversational artificial intelligence (AI) and gamified health applications-warrants rigorous, isolated synthesis. Objective: To systematically assess whether patient-facing interactive digital assistants are associated with improved initiation and completion of HPV vaccination and cervical cancer screening, strictly distinguishing between formative usability evidence and clinical effectiveness. Methods: Following PRISMA 2020 guidelines and PROSPERO registration (CRD420261333651), six academic databases were systematically searched (January 1, 2016-February 10, 2026). Eligible interventions were limited to interactive patient-facing digital tools. Data synthesis utilized a structured narrative approach, applying the Mixed Methods Appraisal Tool (MMAT 2018) for individual domain risk of bias and GRADE principles for evidence certainty. Results: The synthesis included 14 reports representing 13 independent studies. Formative evaluations indicated high usability and user acceptability. Within behavioral trials, conversational AI chatbots showed promising effects for short-term increases in HPV vaccine appointment booking (Moderate certainty). However, multi-dose series completion remained severely constrained by high attrition rates (Low certainty). For secondary prevention, theory-based apps were associated with enhanced short-term cytology uptake (Moderate certainty). A serious game correlated with a higher diagnostic rate of cervical precancer (CIN2+); however, profound uncontrolled confounding limits causal attribution. Conclusion: Interactive patient-facing digital assistants may improve short-term appointment scheduling and screening participation. Nevertheless, the current literature is heavily constrained by self-selection, attrition, and the inability to isolate the effects of multicomponent interventions. Future pragmatic trials are essential to replicate these findings. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420261333651, CRD420261333651.

Indexed as

Papillomavirus VaccinesUterine Cervical NeoplasmsAdherence InterventionsDigital HealthEarly Detection of CancerFemaleHumansPapillomavirus InfectionsPapillomavirus Vaccinesartificial intelligencecervical cancer screeningchatbotsHPV vaccinationmobile healthserious gamessystematic review

Identifiers

PMID42741336
PMCPMC13572625

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.