Jurnal Ilmiah

Optimizing Surveillance for Early Detection of High-Risk Pregnancy, Neonatal, and Child Risks with Tinamila.com Application

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Introduction: In 2021, Indonesia recorded 2,982 maternal deaths related to Covid-19,\\\\r\\\\nhighlighting a pressing health issue. The high maternal mortality rate underscores the need\\\\r\\\\nfor innovation in the early detection of health risks for pregnant women and children. This\\\\r\\\\nstudy aims to evaluate the effectiveness of the tinamila.com application in the early\\\\r\\\\ndetection of high-risk pregnant women, neonates, and high-risk children at the Mandala\\\\r\\\\nCommunity Health Center in 2023.\\\\r\\\\nMethods: This study combines both quantitative and qualitative data. Quantitative data\\\\r\\\\nis collected through a cross-sectional approach using chi-square tests and secondary data\\\\r\\\\nfrom weekly reports submitted by Community Health Workers (Kader), while qualitative\\\\r\\\\ndata is gathered through in-depth interviews and Focus Group Discussions (FGD) with\\\\r\\\\nhealthcare professionals and Kader. The research population consists of ten respondents\\\\r\\\\nfrom the healthcare sector, including the Head of the Community Health Center,\\\\r\\\\nPuskesmas Administrative Staff, Surveillance Personnel, the Coordinator Midwife, and\\\\r\\\\nsix Village Midwives, with 96 Kader selected as the sample. Data were analyzed using\\\\r\\\\nthe Chi-Square test.\\\\r\\\\nResults: Findings reveal cadre characteristics, with 76% demonstrating good to very good\\\\r\\\\nknowledge and 90.6% using the application. Bivariate analysis indicates a significant\\\\r\\\\ncorrelation between knowledge and application effectiveness (p-value = 0.000, OR value\\\\r\\\\n= 10.5) and between training and application effectiveness (p-value = 0.001, OR value =\\\\r\\\\n12.5).\\\\r\\\\nConclusion: The study concludes that the tinamila.com application is effective in early\\\\r\\\\ndetection, recommending its continued use for reporting morbidity and mortality rates.\\\\r\\\\nSuggestions include processing and analyzing reported data, providing feedback and\\\\r\\\\nrewards to cadres, and ensuring ongoing support for sustained application use.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

610.3 SUH o

Penerbit

Palu : Universitas Muhammadiyah Palu., 2025

Deskripsi Fisik

J. Public Heal. Pharm. 6(1): 122-128

Bahasa

English

ISBN/ISSN

2775-4952

Klasifikasi

610.3

Tipe Isi

Kebidanan

Tipe Media

Kebidanan

Tipe Pembawa

Publish

Edisi

J. Public Heal. Pharm. 6(1)

Subjek

effectiveness
Surveillance
KIA
Tinamila.com

Info Detail Spesifik

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Pernyataan Tanggungjawab

Suhartini

Versi lain/terkait

Lampiran Berkas

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