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All Journal Public Health of Indonesia Jurnal Pengabdian Masyarakat AbdiMas
Nurmalasari, Mieke
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Education Public Health

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PENINGKATAN PENGETAHUAN KUALITAS PELAYANAN REKAM MEDIS Temesvari, Nauri Anggita; Nurmalasari, Mieke; Qomarania, Witri Zuama
Jurnal Pengabdian Masyarakat AbdiMas Vol 7, No 04 (2021): Jurnal Pengabdian Masyarakat Abdimas
Publisher : Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/abd.v7i04.4500

Abstract

Unit kerja rekam medis merupakan salah satu unit kerja yang ada di dalam rumah sakit. Peningkatan pengetahuan terkait kualitas pelayanan rekam medis sangat penting diberikan baik secara umum kepada masyarakat dan secara khusus mahasiswa jurusan rekam medis maupun perekam medis dan informasi kesehatan. Informasi terkini terkait kualitas pelayanan rekam medis dibutuhkan karena mendukung terwujudnya kualitas pelayanan di rumah sakit dan kepuasan pasien. Kondisi pandemi COVID-19 memungkinkan penggunaan teknologi untuk menyampaikan pengetahuan tersebut, salah satunya memanfaatkan aplikasi media sosial seperti instragram. Tujuan dari pengabdian masyarakat ini adalah meningkatkan pengetahuan masyarakat secara umum dan secara khusus mahasiswa maupun perekam medis dan informasi kesehatan terkait kualitas pelayanan rekam medis. Metode yang digunakan dalam pengabdian masyarakat ini adalah bekerjasama dengan akun media sosial yang terprogram menyampaikan edukasi terkait rekam medis dan informasi kesehatan, yaitu AskHIM Indonesia. Waktu pelaksanaan pengabdian masyarakat ini adalah Sabtu, 28 November 2020. Materi yang disampaikan terkait penerapan mutu di rekam medis dapat terkasana mulai dari penyusunan indikator, kemudian metode yang digunakan dapat berupa analisis kuantitatif dan kualitatif, dimensi yang tergambar dalam pelayanan rekam medis yaitu tangible (bukti fisik), reliability (kehandalan), responsiveness (daya tanggap), assurance (jaminan), dan emphaty (empati), dan keterkaitannya dengan kendali mutu dan biaya. Peserta materi berinteraksi dengan baik selama pelaksanaan pengabdian masyarakat. Kata kunci : kualitas rekam medis, rumah sakit, instagram
Spatial patterns of maternal mortality causes in West Kalimantan, Indonesia Pertiwi, Tria Saras; Temesvari, Nauri Anggita; Nurmalasari, Mieke
Public Health of Indonesia Vol. 7 No. 3 (2021): July - September
Publisher : YCAB Publisher & IAKMI SULTRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v7i3.441

Abstract

Background: Maternal Mortality Rate (MMR) is one of the health indicators to see maternal survival in general and is a component in the health development index. Maternal Mortality Rate is also an important indicator of the quality of health services and the performance of the Health system.Objective: This study aimed to analyze the spatial patterns of maternal mortality based on the mortality causes in Sambas District, West Kalimantan, Indonesia.Methods: This study used a descriptive and exploratory approach to be able to see the distribution of maternal mortality and the coverage of the distribution of health care facilities. A spatial pattern was carried out to analyze the distribution pattern of maternal mortality cases using the Average Nearest Neighbor.Results: The results showed that most maternal mortality causes include bleeding, pregnancy hypertension, circulation system disorders (heart, stroke), metabolic disorders (diabetes mellitus), and other causes, such as pulmonary embolism. The analysis using a buffer of 3 kilometers and 5 kilometers show that not all the areas are covered by health service facilities in the Sambas district. Analysis of the mean of the nearest neighbors showed that the Nearest Neighbor ratio was 1.039398 with a z-score of 1.022396, which means that the pattern of distribution of maternal death according to the cause of death has a random pattern.Conclusion: The spatial pattern of cases of maternal death according to the cause of death in the Sambas district, West Kalimantan, Indonesia, has a random pattern. This finding can be used as a basis for decreasing the maternal mortality rate.
Fraud in healthcare facilities: A Narrative Review Mauren Michaela, Sarah; Nurmalasari, Mieke; Hosizah, Hosizah
Public Health of Indonesia Vol. 7 No. 4 (2021): October - December
Publisher : YCAB Publisher & IAKMI SULTRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v7i4.465

Abstract

Every country needs to develop Universal Health Coverage (UHC) to promote optimal levels of public health. But in realizing UHC, there must be some problems, one of which is fraud. Based on the Corruption Eradication Commission (KPK) data, potential fraud is detected from 175,774 claims of Advanced Referral Health Facilities (FKRTL) or worth Rp. 440 billion until June 2015. This review article describes the incidence of fraud in health care facilities. Out of a total of 12,736 cases of fraud, readmission occupies the most cases of fraud, which is 4,827 cases or 37.9%.
Autocorrelation Spatial Based on Specific Nutritional Interventions Achievement with Stunting Cases in Toddlers at Kendari City Using Local Indicator of Spatial Autocorrelation (LISA) Method Pertiwi, Tria Saras; Nurmalasari, Mieke; Qomarania, Witri Zuama; Supryatno, Adi; Saputra, Alief Imran; Salim, Agus
Public Health of Indonesia Vol. 10 No. 3 (2024): July - September
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v10i3.834

Abstract

Background:Stunting is a priority target both globally and in Indonesia. There are 10 provinces in Indonesia that are the main focus of the stunting reduction program, one of which is Southeast Sulawesi Province. Kendari City, located in Southeast Sulawesi, has experienced an increase in stunting incidence over the past three years. However, progress in reducing stunting in Kendari City has not been evenly distributed across its regions and sub-regions, with significant disparities in stunting rates between different sub-districts. Objective:To determine the spatial autocorrelation based on the achievement of specific nutritional interventions for toddlers and the incidence of stunting in Kendari City using the Local Indicator of Spatial Autocorrelation (LISA). Method:This quantitative study used the Local Indicator of Spatial Autocorrelation (LISA) method. The data on stunting incidence consisted of the number of stunting cases among toddlers in 2023 across 11 sub-districts in Kendari City. The sub-districts analyzed were Abeli, Baruga, Kadia, Kambu, Kendari, West Kendari, Mandonga, Nambo, Poasia, Puuwatu, and Wua-Wua. The study was conducted from November 2023 to May 2024 in Kendari City. A local autocorrelation test with LISA was performed to determine the spatial relationships among the sub-districts based on the research variables, with results displayed in the form of Moran's scatterplot, cluster map, and significance map. Results:The results of Moran's local bivariate test (LISA) indicated that the majority of sub-districts, particularly Kambu, exhibited significant positive autocorrelation with neighboring sub-districts and fell into the cold-spot category. This indicates that the number of specific nutritional intervention programs for toddlers and the cases of stunting in toddlers in 2023 were low in Kambu and its surrounding sub-districts, which also had similarly low values. Conclusion:There is spatial autocorrelation among the sub-districts in Kendari City. Although the cases of stunting in the Kambu sub-district are low, the achievement of intervention programs should remain optimal, as cases still exist in the area. Additionally, since Kambu has a spatial correlation with its neighboring areas, the government should target these areas for appropriate interventions to accelerate stunting reduction, particularly in Kendari City. Keywords:Spatial Autocorrelation; LISA; Specific Nutrition Interventions; Stunting Toddlers
Co-Authors Agus Salim Hosizah Hosizah Mauren Michaela, Sarah Pertiwi, Tria Saras Qomarania, Witri Zuama Saputra, Alief Imran Supryatno, Adi Temesvari, Nauri Anggita