Evidence map›Paper›PMID 40657428›Full record

ArticleInternational journal of women's health2025

Evaluation of The Utilization of The iPosyandu Application in Enhancing Midwives' Competence in Early Pregnancy Detection Services: Mixed Methods Study.

Ari Indra Susanti, Annisa Nuraini, Fedri Ruluwedrata Rinawan, Qorinah Estiningtyas Sakilah Adnani, Firman Fuad Wirakusumah

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Article in International journal of women's health, 2025. 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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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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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

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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

5 authors.

Ari Indra SusantiCenter for Health System Study and Health Workforce Education Innovation, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.ORCID 0000-0001-6638-5992
Annisa NurainiMidwifery Study Program, Faculty of Health Sciences and Technology, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.ORCID 0000-0002-4178-6439
Fedri Ruluwedrata RinawanCenter for Health System Study and Health Workforce Education Innovation, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Qorinah Estiningtyas Sakilah AdnaniCenter for Health System Study and Health Workforce Education Innovation, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.ORCID 0000-0002-4625-4861
Firman Fuad WirakusumahCenter for Health System Study and Health Workforce Education Innovation, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Health programs in Indonesia are expanding annually, thereby augmenting the workload of midwive's. Consequently, mobile health (mHealth) solutions, such as the iPosyandu application, are essential to assist midwive's in delivering maternal and child health services and enhancing their competence for early detection in pregnant women. Purpose: This study seeks to examine the evaluation of the iPosyandu application on midwive's proficiency in early pregnancy identification. Patients and Methods: The research employed a convergent mixed-method approach, incorporating quantitative analysis involving 120 village midwives in Purwakarta Regency, divided into intervention (n = 60) and control (n = 60) groups. Questionnaires on early pregnancy detection were administered, and the data were analyzed using STATA software version 16.0, while the results of the mHealth App Usability Questionnaire (MAUQ) were processed with Winstep. Qualitative research employed interview protocols for in-depth interviews (n = 8), and the results were analyzed using NVivo software version 1.6.1. Results: The quantitative research findings indicated that the utilization of the iPosyandu application significantly impacted midwive's competence in the early detection of pregnancy care (p-value <0.05). The usability of the iPosyandu program among midwive's is considered satisfactory, with average scores of 48.65 for ease of use and satisfaction, 36.02 for information system settings, and 41.78 for utility. Qualitative research results indicate that the iPosyandu application is user-friendly for midwive's, hence enhancing their competency in early pregnancy identification. Conclusion: This study finds that the iPosyandu application for midwives demonstrates a high usage level, hence enhancing midwive's inclination to utilize the application to augment their competence and deliver optimal midwifery care.

Indexed as

competenceearly detectionIndonesiaiPosyandu midwive’slevel of usabilitymHealthmidwives

Identifiers

PMID40657428
PMCPMC12256050

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.