Evidence map›Paper›PMID 42379552›Full record

ArticleJMIR formative research2026

Stakeholder Experiences With the Pneumococcal Conjugate Vaccine Chatbot as a Complementary Capacity-Building Tool for Frontline Health Workers in India: Qualitative Study.

Amanjot Kaur, Arindam Ray, Amrita Kumari, Papri Nayak, Jayanta Kumar Sukul, Dimong Padung, Tage Taka, B N Rajani, Syed Sirajuddin Madani, Puneet Jaitley and 9 more

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

19 authors.

Amanjot Kaur *John Snow India Private Limited, New Delhi, India.ORCID 0000-0001-5772-0218
Arindam Ray *Gates Foundation New Delhi, New Delhi, India.ORCID 0000-0002-5955-0352
Amrita Kumari *Gates Foundation New Delhi, New Delhi, India.ORCID 0000-0002-7956-8373
Papri NayakMinistry of Health, West Bengal, West Bengal, India.ORCID 0009-0002-9598-1974
Jayanta Kumar SukulMinistry of Health, West Bengal, West Bengal, India.ORCID 0009-0008-4135-6405
Dimong PadungMinistry of health, Arunachal Pradesh, Arunachal Pradesh, India.ORCID 0009-0004-8036-8864
Tage TakaMinistry of health, Arunachal Pradesh, Arunachal Pradesh, India.ORCID 0009-0002-2923-8330
B N RajaniMinistry of Health, Karnataka, Karnataka, India.ORCID 0009-0007-0060-8410
Syed Sirajuddin MadaniMinistry of Health, Karnataka, Karnataka, India.ORCID 0009-0002-3807-063X
Puneet JaitleyMinistry of Health, New Delhi, New Delhi, India.ORCID 0009-0001-6072-2481
Amita RaootMinistry of Health, New Delhi, New Delhi, India.ORCID 0000-0001-5133-0446
Rhythm HoraJohn Snow India Private Limited, New Delhi, India.ORCID 0000-0002-0370-6864
Seema Singh KoshalJohn Snow India Private Limited, New Delhi, India.ORCID 0000-0003-3349-9744
Syed F QuadriJohn Snow India Private Limited, New Delhi, India.ORCID 0000-0001-9639-2499
Rashmi MehraJohn Snow India Private Limited, New Delhi, India.ORCID 0000-0002-0483-5609
Abida SultanaJohn Snow India Private Limited, New Delhi, India.ORCID 0009-0009-7632-3619
Shyam Kimar SinghJohn Snow India Private Limited, New Delhi, India.ORCID 0009-0009-6498-4209
Vivek SinghJohn Snow India Private Limited, New Delhi, India.ORCID 0009-0009-3844-8461
Arup Deb RoyJohn Snow India Private Limited, New Delhi, India.ORCID 0000-0001-9569-3396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPneumonia remains the leading cause of mortality in individuals aged 5 years or younger globally, with India bearing a disproportionately high burden. The introduction of the pneumococcal conjugate vaccine (PCV) in India necessitated innovative approaches to support frontline health workers (FLHWs), particularly in remote settings. To address this, a customizable WhatsApp-based PCV chatbot was developed as a complementary tool to traditional training and reference materials.

objectiveThis study aimed to document the opportunities, challenges, and mitigation measures encountered during the development and rollout of the PCV chatbot, and to explore its use and user experience as a capacity-building and support tool for FLHWs during new vaccine introduction.

methodsA qualitative study was conducted across 4 Indian states-Arunachal Pradesh, Delhi, Karnataka, and West Bengal-using purposive sampling at the district and block levels. Data collection involved key informant interviews with immunization officials and chatbot developers, and focus group discussions with auxiliary nurse midwives. A Likert scale-based tool captured quantitative feedback on user satisfaction.

resultsStakeholders appreciated the chatbot's accessibility, familiarity (through WhatsApp), and multilingual functionality. Most auxiliary nurse midwives found it easy to use and rated responses highly for completeness and usefulness. The chatbot enabled immediate access to information, saving time and bridging gaps, especially when traditional training was delayed or unavailable in hard-to-reach areas. Challenges included occasional technical issues, limited content related to dropout and left-out scenarios, and difficulties in typing regional languages. Recommendations included implementing predictive text, expanding scenario coverage, and strengthening user-centered design and field testing.

conclusionsThe PCV chatbot demonstrated acceptability and perceived value as an on-demand knowledge tool among FLHWs. Continuous user-driven refinement, expanded content, and enhanced usability are essential for its scalability and sustained use in vaccine introduction and capacity-building efforts.

Indexed as

Capacity BuildingPneumococcal VaccinesStakeholder ParticipationFocus GroupsFrontline WorkersHumansIndiaQualitative ResearchVaccines, ConjugatePneumococcal VaccinesVaccines, Conjugatechatbotdigital healthfrontline health workersimmunizationIndiapneumococcal conjugate vaccine

Identifiers

PMID42379552
PMCPMC13370108

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Registered trials

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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.