Evidence map›Paper›PMID 41938607›Full record

ArticleFrontiers in digital health2026

Chatbots as frontline educators in sexual reproductive health rights: evidence, limitations, and ethical considerations.

Chioma Uzoma, Goldie Chukwuedo, Ejeh Isaac, Victory Uzoma, Stanley Chinedu Eneh, Felix Peace Chinyere, Oluchi Mmesoma Precious, Francisca Ogochukwu Onukansi

Abstract read
In one paragraph

Article in Frontiers in digital 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

8 authors.

Chioma UzomaMedvax Health, FCT, Abuja, Nigeria.
Goldie ChukwuedoMedvax Health, FCT, Abuja, Nigeria.
Ejeh IsaacMedvax Health, FCT, Abuja, Nigeria.
Victory UzomaMedvax Health, FCT, Abuja, Nigeria.
Stanley Chinedu EnehCommunity Health Department, Faculty of Clinical Sciences, Obafemi Awolowo University, Osun State, Ile-Ife, Nigeria.
Felix Peace ChinyereFaculty of Nursing Science, University of Benin, Benin City, Nigeria.
Oluchi Mmesoma PreciousDepartment of Pharmacy, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
Francisca Ogochukwu OnukansiDepartment of Public Health, Federal University of Technology Owerri, Owerri, Imo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chatbots are increasingly used in digital health to expand access to information and support user engagement. In sexual and reproductive health and rights (SRHR), where stigma, privacy concerns, and health system constraints often limit timely access to accurate information, chatbots have been proposed as scalable tools for delivering education and facilitating service navigation. This perspective examines the role of chatbots as frontline educators in SRHR, drawing insights from existing evidence to assess the effectiveness of chatbots, practical implications, key limitations, and ethical considerations. Available evidence suggests that chatbots can enhance access to SRHR information, support user engagement, and contribute to improved knowledge, confidence, and linkage to services. However, the current evidence base remains uneven, with limited rigorous evaluation of long-term behavioural or health outcomes. Challenges related to accuracy, contextual responsiveness, privacy, equity, and accountability persist, underscoring the need for careful design and governance. Positioning chatbots as complementary components within integrated SRHR strategies, rather than standalone solutions, may offer a pragmatic pathway to harness their potential while safeguarding user rights and health outcomes.

Indexed as

artificial intelligence in health carechatbotsdata privacydigital healthethicshealth educationsexual and reproductive health and rights

Identifiers

PMID41938607
PMCPMC13044073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.