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All Journal Jurnal Administrasi Kesehatan Indonesia Majalah Obstetri dan Ginekologi Biomolecular and Health Science Journal Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Layanan Masyarakat (Journal of Public Service) Indian Journal of Forensic Medicine & Toxicology INDONESIAN MIDWIFERY HEALTH AND SCIENCES JOURNAL
Muhammad Ardian Cahya Laksana
Departemen Obstetri Dan Ginekologi, Fakultas Kedokteran Universitas Airlangga, RSUD Dr. Soetomo, Surabaya
Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Education Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Journal : Indian Journal of Forensic Medicine

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The Early Detection in Gestational Diabetes Mellitus at Indonesia Primary Health Care Erni Rosita Dewi1, Budi Prasetyo2, Muhammad Ardian Cahya Laksana2, Hermanto Tri Joewono2, Ivon Diah
Indian Journal of Forensic Medicine & Toxicology Vol. 14 No. 2 (2020): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v14i2.3146

Abstract

Background: Gestational diabetes mellitus (GDM) is diabetes that is first diagnosed during pregnancy. Uncontrolled GDM or late found can increase mortality for both mother and baby. Not only bad medical conditions, but also it can decline the community productivity, affect socio-economic and increasing financial health. Early detection of GDM is crucial to be implemented by providers, especially in the primary health care. Objective: to determine the framework of early detection in gestational diabetes mellitus at primary health care Methods: The method used is a literature review, which was published in 2008-2018. The literature were collected using some keywords such as “detection”, “gestational diabetes mellitus”, and “primary health care” using PubMed and another electronic journal website. Furthermore, the findings were filtered based on our inclusion criteria and analyzed qualitatively. Results: Early detection of GDM in primary health care with risk factor assessment (age of pregnant women ? 35 years, some of bad history namely GDM in previous pregnancies, anti-diabetic drug use, diabetes mellitus in the family, congenital of infants, IUFD, preeclampsia, macrosomia, blood pressure examination, calculation of body mass index and random blood sugar examination). Furthermore, early detection of GDM is carried out by examining blood glucose accompanied by the provision of appropriate glucose solution interventions (OGCT and OGTT). Conclusion: primary health care can take more action in early detection of GDM through quality antenatal care, which can be done by applying the framework of early detection in gestational diabetes mellitus.
The Effect of Proactive Personality, Professionalism, and Work Engagement on Performance among Village Midwives in Neonatal Complication Management Using the Integrated Management of Childhood Illness Farouk Ilmid Davik1 , Fitri Widyacahya1 , Muhammad Ardian Cahya Laksana2 , Nyoman Anita Damayanti1,
Indian Journal of Forensic Medicine & Toxicology Vol. 14 No. 4 (2020): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v14i4.11621

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Approximately 15% of newborns grow with neonatal complications. The percentage of neonatalcomplications in Probolinggo from 2015 to 2017 has not reached the target of 80%. The number of neonatalcomplications still achieved 68.68% of the minimum service standards target.This study analyzed the effect of proactive personality, professionalism, and work engagement onperformance among village midwives in managing neonatal complications by using an integrated strategymanagement of childhood illness. Proportional random sampling was in use to collect 180 village midwivesas the sample. The research was conducted in Probolinggo Primary Healthcare Center, Indonesia fromMarch to May 2018. The data collected through questionnaires were analyzed with a linear regression.The results showed proactive personality influenced work engagement (p = 0.00). The higher the villagemidwives’ proactive personality is, the higher the level of work engagement is. Besides, professionalisminfluenced performance (p = 0.01). The higher the level of professionalism is, the higher the level ofperformance is. This study also revealed work engagement influenced performance (p = 0.00). The higherthe level of work engagement is, the higher the level of performance is. However, proactive personality didnot affect performance.
Correlation between Seasons and the Prevalence of Preeclampsia at Tertiary Hospital, Indonesia Monika Lijuwardi1, Budi Prasetyo1 , Muhammad Ardian Cahya Laksana1 , Rizki Pranadyan1 , Hanifa Erlin
Indian Journal of Forensic Medicine & Toxicology Vol. 14 No. 4 (2020): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v14i4.12133

Abstract

Background: Preeclampsia is the second most common cause of maternal mortality following postpartumhemorrhage. In East Java alone the maternal mortality rate due to preeclampsia was 31%. Some studiesexplain that the incidence of preeclampsia can be caused by seasonal variations, whereas other studies saythat seasonal factors can be a protective factor for preeclampsia.Objective: To find out how seasons relate to the prevalence of preeclampsia.Method: A descriptive analytic study using medical record data during. The sample meets the inclusioncriteria, namely pregnant women with preeclampsia, severe preeclampsia, chronic hypertension withsuperimposed severe preeclampsia, or eclampsia. The exclusion criteria were pregnant women with chronichypertension or gestational hypertension. The sampling technique used was total sampling and crosssectional design with observation method using secondary data from medical records. Data was processedusing IBM SPSS Statistics and presented narratively.Results: Respondents who experienced preeclampsia in the dry season were 558 people or 19.3% and thosewho did not experience preeclampsia were 844 people or 29.2% The results of data analysis with statisticaltests using Chi-Square obtained a significance value or p-value of 0.091 (p> 0.05).Conclusion: No correlation between seasonality and the prevalence of preeclampsia.
Co-Authors Agus Sulistyono Alfi Syifa Darmastuti Amellia Mardhika Anestasia Pangestu Mei Tyas Arina Qona'ah Atika Atika Budi Utomo Dyah Ayu Fatmaningrum Gede Danu Widarta Izzati Dwi Kasiati Kasiati Lestari Sudaryanti Linda Dewanti Maria Bernadeta S Djano Muhammad Ilham Aldika Akbar Myrna Evanda Adeline Wahyul Anis Windhu Purnomo