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The Maternal Referral Mobile Application System for Minimizing the Risk of Childbirth
Author(s) -
Diah Indriani,
Nyoman Anita Damayanti,
Danu Marjoto Teguh,
Muhammad Ardian,
Hud Suhargono,
Satriawansyah Urbaya,
Ratna Dwi Wulandari,
Triska Susila Nindya,
Ernawaty,
Nuzulul Kusuma Putri,
Ilham Akhsanu Ridlo
Publication year - 2020
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 13
ISSN - 2279-9028
DOI - 10.4081/jphr.2020.1813
Subject(s) - referral , childbirth , medicine , mobile apps , mhealth , medical emergency , nursing , pregnancy , computer science , world wide web , psychological intervention , genetics , biology
Background The maternal mortality rate in Surabaya is still quite high due to ineffectice referral health systems. Primary Health Care (PHC) has difficulty referring patients to hospitals which have available resources. The purpose of this study is to develop a mobile app system framework for the maternal referral system.Design and methods This study was developed based on the results of the Focus Group Discussion (FGD) with midwives, doctors and primary health care heads about the referral system regulation in Surabaya City.Results A mobile app system can be used to communicate patients’ conditions to the hospital. The hospital then will refer back to the PHC as a home care service after the birth. This mobile app has gone through a trial and a development process; it is currently in the process of structuring the mobile app based on the bugs that occur in the system.Conclusions This mobile app still needs development, especially in minimizing system bugs, and providing faster, more accurate communication.

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