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All Journal Jurnal Manajemen Kesehatan Indonesia Emviro Jurnal Ilmiah Penelitian Kesehatan
Asih Prasetyowati
Sekolah Tinggi Ilmu Kesehatan HAKLI Semarang
Decision Sciences, Operations Research & Management Health Professions Medicine & Pharmacology Nursing Public Health

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Analisis Indeks Keluarga Sehat untuk Mendukung Program Promosi Kesehatan Reni Murnita; Asih Prasetyowati
Jurnal Manajemen Kesehatan Indonesia Vol 9, No 1 (2021): April 2021
Publisher : Magister Kesehatan Masyarakat, Fakultas Kesehatan Masyarakat, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmki.9.1.2021.1-13

Abstract

Health development starts from the smallest unit of society, namely the family. The Ministry of Health establishes an operational strategy for health development through the Healthy Indonesia Program with a Family Approach (PIS-PK). Data collection activities carried out in the PIS-PK aim to obtain health data for each family member by the Puskesmas. This study aims to determine the description of the index of healthy families in the working area of Puskesmas Batang I by using 12 indicators of healthy families related to the Health Promotion Program. This research is a quantitative study carried out in a descriptive observative manner, namely by analyzing the data narrative. Desa Kecapak has an index value of 0.08 (Unhealthy Family), Kelurahan Sambong has an index of 0.2 (Unhealthy Family), Kelurahan Proyonanggan Utara  has an index 0.13 (Unhealthy Family), and Kelurahan Proyonanggan Tengah has an index 0 , 21 (Unhealthy Family). Puskesmas Batang I work area has an index of 0.18 and is in the Unhealthy Family category. The families that were recorded had not had total coverage, which was still 54.2%. The health promotion program of the Batang I Puskesmas includes data collection on Clean dan Healthy Behavior/Perilaku Hidup Bersih dan Sehat (PHBS), training for posyandu cadres, self-awareness surveys/Survey Mawas Diri (SMD), and guidance for Alert Village/Desa Siaga.. The Health Promotion Program can refer to data on the healthy family index and PHBS by looking at the low indicator coverage of healthy families. Puskesmas can cooperate with educational institutions so that the number of families being recorded is maximized. Based on the healthy family index coverage figures, the health promotion program must synergize with the Disease Eradication Program, especially pulmonary TB disease, hypertension, and mental disorders. It is hoped that the development of posyandu and posbindu cadres can increase the coverage of the healthy family index, especially in increasing family knowledge about infectious and non-communicable diseases
Analisis Trend Penggunaan Tempat Tidur Berdasarkan Grafik Barber Johnson di Rumah Sakit Qim Batang Tahun 2018-2022 Jihan Rizqi Kholda; Asih Prasetyowati; Reni Murnita; Andri Asmorowati
EMVIRO Jurnal Ilmiah Penelitian Kesehatan Vol 3 No 2 (2024): April : EMVIRO Jurnal Ilmiah Penelitian Kesehatan
Publisher : STIKES HAKLI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64857/emviro.v3i2.41

Abstract

The BOR, LOS, TOI, and BTO indicators at QIM Hospital in Batang are currently suboptimal, potentially contributing to issues like increased nosocomial infections and an incomplete view of service quality. This study aimed to analyze the trends of these indicators from 2018 to 2022 using a descriptive quantitative approach. Data were collected through observations and interviews with the reporting officer, focusing on Quality Indicator Reports for BOR, LOS, TOI, and BTO, along with secondary data on service indicators and TT availability. The analysis used Barber Johnson graphs and the least squares method. In 2018, BOR did not meet the Barber Johnson standard, but by 2019, it reached ideal levels, while LOS, TOI, and BTO remained suboptimal. The efficiency of BOR, LOS, TOI, and BTO declined from 2018-2020, improving in 2021. The trends from 2018-2025 for BOR and BTO showed positive shifts, while LOS and TOI continued to decline. The Barber Johnson chart indicated that from 2018-2022, QIM Hospital's performance remained outside the efficient zone, with projections suggesting the trends will persist. In conclusion, QIM Batang Hospital’s data management using Barber Johnson graphs is suboptimal. It is recommended that the hospital store data more efficiently and optimize services to meet ideal BOR targets in future years.
Analisa Ketepatan Kode Diagnosis Berdasarkan ICD-10 dengan Penerapan Karakter Ke-4 pada 10 Besar Penyakit Tribulan IV : (Di UPTD Puskesmas Genuk Kota Semarang Tahun 2022) Munandziroh Munandziroh; Andri Asmorowati; Cahyono Rahadiyanto; Asih Prasetyowati
EMVIRO Jurnal Ilmiah Penelitian Kesehatan Vol 3 No 2 (2024): April : EMVIRO Jurnal Ilmiah Penelitian Kesehatan
Publisher : STIKES HAKLI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64857/emviro.v3i2.43

Abstract

The accuracy of the diagnosis code on the medical record document is used as a basis for making reports. If the diagnosis code is not properly coded then the resulting information will have low validation. The results of the initial survey at UPTD Puskesmas Genuk in the Top 10 Trimonth III Disease Data in 2022, there are still many diagnosis codes that have not been coded until the 4th character. To determine the accuracy analysis of disease diagnosis codes based on ICD-10 with the application of the 4th character of the fourth quarter at UPTD Genuk Health Center in 2022. This type of research is descriptive quantitative with a retrospective study approach. The primary data sources used are observation and interviews while the secondary data is from medical record data obtained from SIMPUS. The total population was 4,861 medical record data while the samples used were 98 with systematic random sampling techniques. Based on the results of research on 98 medical record data, the exact code is 21 (27.23%) while the incorrect code is 77 (72.77%). The inaccuracy of the diagnosis code is because the coding officer is not PMIK, the code is given only up to the 3rd character, there is no SPO for Giving Disease Diagnosis Codes, not using ICD-10 but a list of SIMPUS codes. accuracy of the diagnosis code of 27.23% is much lower than the inaccuracy, coding officers from PMIK should be conducted, Training on Giving Disease / Action Coding, Diagnosis Codes at SIMPUS are given keys so that coders can choose a specific code, SIMPUS plus facilities for PMIK officers to validate coding after service.
Co-Authors Andri Asmorowati Cahyono Rahadiyanto Jihan Rizqi Kholda Munandziroh Munandziroh Reni Murnita