TY - JOUR
T1 - Integrated Early Warning System for High-risk Pregnant Woman
T2 - Development of Management Information System Between PHC and Hospital
AU - Lailiyah, Syifa'ul
AU - Prayoga, Diansanto
AU - Sari, Jayanti Dian Eka
AU - Nuraini, Siti
AU - Prasetyanto, Panji Kusuma
N1 - Publisher Copyright:
© 2024 Universiti Putra Malaysia Press. All rights reserved.
PY - 2024/11
Y1 - 2024/11
N2 - Introduction: There were fluctuatif cases of maternal death at Banyuwangi District in 2014-2018. The cases of maternal mortality needs attention considering to reduction MMR. An information system for high- risk pregnant woman is needed as a basis for decision making and Local Area Monitoring (PWS). The research aims to analyze the need for developing an integrated early warning system for high-risk pregnant woman between PHC and Hospital. Materials and methods: A qualitative design and action research. Primary data was obtained from interviews, observations, and FGD. Informants are Head, Midwife Coordinator, and Area Midwife of PHC, Head of Medical Service, and Head of IT Public Hospital. Secondary data from PHC and hospital documents. Processing and analysis data descriptively. Results: Problem identification of existing system was manual for compilation, analysis, and mapping; no integrated system between PHC and hospital MIS; referral patient data was re-entered in referral patient registration; the presence of high-risk pregnant women not yet known by the hospital; and information on the availability of maternal rooms in the hospital cannot be accessed directly by referral patients. There was an opportunity to develop an integrated MIS. Conclusion: There was need for developing an information system for high-risk pregnant women between PHC and hospital, that can be used by all level users, can relied on to carry out data processing, easier to produce quality information. The MIS is based on websites (web-based) and Android for an integrated early warning system to prevent deaths of pregnant women.
AB - Introduction: There were fluctuatif cases of maternal death at Banyuwangi District in 2014-2018. The cases of maternal mortality needs attention considering to reduction MMR. An information system for high- risk pregnant woman is needed as a basis for decision making and Local Area Monitoring (PWS). The research aims to analyze the need for developing an integrated early warning system for high-risk pregnant woman between PHC and Hospital. Materials and methods: A qualitative design and action research. Primary data was obtained from interviews, observations, and FGD. Informants are Head, Midwife Coordinator, and Area Midwife of PHC, Head of Medical Service, and Head of IT Public Hospital. Secondary data from PHC and hospital documents. Processing and analysis data descriptively. Results: Problem identification of existing system was manual for compilation, analysis, and mapping; no integrated system between PHC and hospital MIS; referral patient data was re-entered in referral patient registration; the presence of high-risk pregnant women not yet known by the hospital; and information on the availability of maternal rooms in the hospital cannot be accessed directly by referral patients. There was an opportunity to develop an integrated MIS. Conclusion: There was need for developing an information system for high-risk pregnant women between PHC and hospital, that can be used by all level users, can relied on to carry out data processing, easier to produce quality information. The MIS is based on websites (web-based) and Android for an integrated early warning system to prevent deaths of pregnant women.
KW - Early warning system
KW - High-risk pregnant woman
KW - Management information system
KW - Maternal health
KW - System development life cycle (SDLC)
UR - http://www.scopus.com/inward/record.url?scp=85209876706&partnerID=8YFLogxK
U2 - 10.47836/mjmhs.20.s9.11
DO - 10.47836/mjmhs.20.s9.11
M3 - Article
AN - SCOPUS:85209876706
SN - 1675-8544
VL - 20
SP - 64
EP - 69
JO - Malaysian Journal of Medicine and Health Sciences
JF - Malaysian Journal of Medicine and Health Sciences
ER -