Evidence map›Paper›PMID 40372943›Full record

ArticleJMIR pediatrics and parenting2025

Using WhatsApp for Nutrition Surveillance Among Children Under 5 Years in West Java, Indonesia: Cross-Sectional Survey and Feasibility Study.

Dewi Nur Aisyah, Chyntia Aryanti Mayadewi, Astri Utami, Fauziah Mauly Rahman, Nathasya Humaira Adriani, Erlangga Al Farozi, Meldi Hafizh Sayoko, Aulia Chairunisa, Liza Restiana, Logan Manikam and 1 more

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 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

11 authors.

Dewi Nur Aisyah *Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, United Kingdom, 44 (0)207 679 2000.ORCID http://orcid.org/0000-0003-2247-0612
Chyntia Aryanti Mayadewi *Digital Transformation Office, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0000-0002-3852-3910
Astri Utami *Digital Transformation Office, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0000-4714-4763
Fauziah Mauly Rahman *Digital Transformation Office, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0007-8144-7478
Nathasya Humaira Adriani *Digital Transformation Office, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0003-9241-5093
Erlangga Al Farozi *Digital Transformation Office, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0002-4392-2112
Meldi Hafizh Sayoko *Department of Science, Technology and Innovation Studies, School of Social and Political Science, University of Edinburgh, Edinburgh, United Kingdom.ORCID http://orcid.org/0009-0008-4731-2243
Aulia Chairunisa *Digital Transformation Office, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0008-6861-6326
Liza Restiana *Ciderum Community Health Center, Caringin Subdistrict, Bogor, Indonesia.ORCID http://orcid.org/0009-0002-5850-8301
Logan Manikam *Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, United Kingdom, 44 (0)207 679 2000.ORCID http://orcid.org/0000-0001-5288-3325
Zisis Kozlakidis *International Agency for Research on Cancer World Health Organization, Lyon, France.ORCID http://orcid.org/0000-0002-3836-7209

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: Large-scale programs involving nutrition-specific interventions have been carried out in Indonesia as a community-based approach at the primary care level across cities and districts, throughout the age-specific target population (ie, children under 5 years). Objective: The aim of this paper is to describe the potential use of WhatsApp as a tool for recording and monitoring the growth of children under 5 years by Posyandu (Pos Pelayanan Terpadu or community-based health service post), investigating its potential in enhancing health programs and services. Methods: Data were collected from Posyandu cadres in Bogor District, West Java, from March to June 2022. The anthropometric measurement data were reported in real time through a WhatsApp chatbot, automatically analyzed by the system, and presented in a structured dashboard. A qualitative assessment was carried out using a cross-sectional survey conducted from March to July 2022. Results: The study involved 42 Posyandu in 3 villages, engaging 282 staff, and the WhatsApp chatbot recorded anthropometric data for 4571 children under 5 years. The qualitative assessment indicated widespread system utilization, with 50% (45/90) affirming comprehensive data input. Additionally, 66.4% (83/129) found the system easy to use, and 66.7% (82/123) expressed clarity in comprehending variables. Moreover, 75.6% (93/123) found the data input flow easily understood, and 74% (91/123) suggested that the system contributed to enhancing Posyandu activities and the quality of data reporting. Regarding staff proficiency, 63.5% (80/126) affirmed their adeptness in using the system, and 71% (88/124) asserted their high capability in providing training to colleagues. Conclusions: The potential use of WhatsApp as a surveillance tool for recording children's nutritional status is promising, suggesting broader applications within health programs. Nonetheless, this expansion requires additional improvements, including human resource preparation, Posyandu infrastructure development, and strong regulatory support.

Indexed as

anthropometricappbabychatbotschilddata collectiondigitaldigital healthdigital interventiondigital technologyinfantmHealthmobile healthneonatalnutritionnutritionalnutrition surveillancepediatricPosyandusurveillancetoddlerWhatsApp

Identifiers

PMID40372943
PMCPMC12097283

What OpenQuestion holds

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LicenceCC BY
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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.