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Analisis Faktor yang Berhubungan dengan Angka Kematian Ibu: Analysis of Factors Associated with Maternal Mortality Rates Rahim, Muhammad Reyzaldy; Sanyoto, Didik Dwi; Istiqamah, Ermina; Adhani, Rosihan; Husaini, Husaini
Jurnal Surya Medika (JSM) Vol. 10 No. 3 (2024): Jurnal Surya Medika (JSM)
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jsm.v10i3.9204

Abstract

Pendahuluan: Angka kematian ibu terjadi akibat komplikasi selama dan setelah kehamilan dan persalinan. Sebagian besar komplikasi ini berkembang selama kehamilan dan sebagian besar dapat dicegah atau diobati. Komplikasi utama yang menyebabkan hampir 75% dari semua kematian ibu adalah pendarahan hebat (kebanyakan pendarahan setelah melahirkan), infeksi (biasanya setelah melahirkan), tekanan darah tinggi selama kehamilan (preeklamsia dan eklamsia), komplikasi akibat persalinan, dan aborsi yang tidak aman. Tingginya angka kematian ibu menunjukan keadaan sosial ekonomi yang rendah dan fasilitas pelayanan kesehatan termasuk pelayanan prenatal dan obstetrik yang rendah. Tujuan: untuk mengetahui faktor-faktor apa saja yang menyebabkan penurunan angka kematian ibu. Metode penelitian: menggunakan literature review dengan penelusuran menggunakan Data Base Google Schoolar, Crossref, Researgate dengan keyword, faktor *OR* kematian ibu*. Kriteria inklusi dalam pengumpulan data meliputi artikel terbit di jurnal tahun 20210-2024, jurnal nasional maupun internasional, populasi dan sample adalah ibu dan ibu hamil. Hasil: penelusuran data base didapatkan 15 artikel sesuai dengan kriteria inklusi. Faktor yang berhubungan dengan kematian ibu adalah kurangnya kunjungan ANC, rujukan terlambat, sosial ekonomi, pendidikan, komplikasi kehamilan, nifas,keterlambat pengambilan langkah, anemia, paritas, tenaga kesehatan yang membantu persalinan dan usia. Kesimpulan: pertolongan persalinan, pendidikan, usia, kunjungan ANC dan paritas adalah faktor yang sering ditemukan dari 15 artikel. Diharapkan faktor tersebut lebih diproritaskan ketika menghadapi ibu hamil, bersalin dan nifas.
Systematic Literature Review: Factors Affecting the Quality of Health Data Management Muhammad Reyzaldy Rahim; Sri Astuti
PROMOTOR Vol. 9 No. 4 (2026): AGUSTUS
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/pro.v9i4.2632

Abstract

The quality of health data management is a crucial factor in supporting the effectiveness of healthcare services, clinical decision-making, and improving the quality of care in healthcare facilities. Digital transformation through the implementation of Electronic Medical Records (EMDRs) demands accurate, complete, secure, and integrated health data management. However, various healthcare facilities still face challenges in managing health data, such as limited human resources, technological infrastructure, and the quality of health information systems. This study aims to identify and analyze factors influencing the quality of health data management based on the latest research findings. The research method used a Systematic Literature Review (SLR) approach by examining quantitative journal articles published between 2022 and 2025. Articles were searched through several scientific databases using keywords related to health data management, electronic medical records, health data quality, and health information systems. Articles were selected based on inclusion and exclusion criteria relevant to the research objectives. A total of eight journals that met the criteria were systematically analyzed to obtain a synthesis of the research findings. The review results indicate that the quality of health data management is influenced by several key factors: the quality of the health information system, the implementation of Electronic Medical Records (EMR), human resource competency, completeness of documentation, technological infrastructure, data security, management support, and compliance with standard operating procedures and health regulations. The implementation of digital systems has been proven to improve service efficiency, data accuracy, patient information security, and the effectiveness of clinical decision-making. However, various obstacles remain, such as limited technological facilities, lack of human resource training, and obstacles to adapting to digital transformation. The study concludes that the quality of health data management requires strengthening the integrated aspects of technology, human resources, organization, and regulations. Improving the quality of health data management is expected to support the creation of more effective, efficient, safe, and sustainable health services.