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Hypnotherapy as a method of smoking cessation: a systematic review Andrean, Jessie; Rahmaniati Makful, Martya
BKM Public Health and Community Medicine Vol 38 No 10 (2022)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v38i10.5560

Abstract

Purpose: Hypnotherapy is a method to stop smoking. But the effectiveness needs to be proven. Methods: a systematic review was conducted on articles published between 2012-2022 that examined hypnotherapy as a smoking cessation intervention. Results: four relevant studies were obtained. Two studies discussed the effectiveness of hypnotherapy over relaxation and nicotine replacement therapy (NRT). One study examined the effect of individual hypnosis susceptibility on the effectiveness of hypnotherapy. Finally, the study discusses the effect of brain waves on hypnotherapy through EEG assessment. Conclusion: Hypnotherapy intervention is superior to NRT but not superior to the relaxation method. Individuals with higher susceptibility are proven to have more influence on hypnotherapy interventions. Hypnotherapy has been shown to affect brain wave activity through EEG assessment. Further research is needed regarding the effectiveness of hypnotherapy on various population characters.
Spatial analysis of tuberculosis cases diffusion based on population density in Bekasi Regency in 2017-2021 Inggarputri, Yuanita Rizky; Trihandini, Indang; Novitasari, Prihatini Dini; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6462

Abstract

Purpose: This research aims to examine the spatial relationship between tuberculosis cases and population density and their spatial diffusion patterns in Bekasi Regency in 2017-2021. Methods: Research using an ecological study design using spatial analysis to estimate and analyze the distribution of tuberculosis prevalence related to population density in 23 sub-districts in Bekasi Regency, compare data from 2017 to 2021 and evaluate the spatial correlation. The data is taken from secondary data from the Bekasi District Health Office for 2017-2021. Results: This study shows a spatial autocorrelation between tuberculosis cases and population density from 2017 to 2021 (I>E; p-value <0,05). There is spatial diffusion of cases characterized by expanding clusters with high tuberculosis cases. High-high cluster in 2017, there was one sub-district. In 2018 there was also one sub-district. In 2019 there were two sub-districts. In 2020, there were three sub-districts. And in 2021, there were five districts. Conclusion: This research shows a positive spatial autocorrelation in the incidence, which is influenced by population density in Bekasi Regency from year to year (2017-2021) with a clustering pattern.
Mapping the spread of dengue hemorrhagic fever (DHF) with the level of insecurity in Kepahiang Regency in 2021 Dwitasari, Indah; Trihandini, Indang; Indriyani; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6491

Abstract

Purpose: This study aims to map the distribution of dengue cases in Kepahiang Regency based on the distribution of dengue cases, population density, and air temperature. Furthermore, mapping was carried out based on the level of vulnerability and priority of sub-district-based dengue disease management in Kepahiang Regency. Method: Research using a descriptive method using Geographic Information System (GIS) with scoring and overlay techniques. The data was taken from secondary data from the Kepahiang Regency Health Office and Kepahiang Regency Meteorology and Geophysics Agency in 2021. Results: This study shows that out of 8 sub-districts, there is one with a high level of vulnerability with priority handling, namely Kepahiang Regency. The priority of dengue insecurity can be an effort to prevent and handle dengue disease by the Government. Conclusion: Mapping the level of dengue insecurity in Kepahiang Regency using parameters (dengue cases, population density, and temperature) resulted in 1 in 8 sub-districts being in priority 1 with a high level of insecurity, priority 2 (1 sub-district) with a moderate level of insecurity, priority 3 (1 sub-district) with a low level of insecurity, and priority 4 (5 sub-districts) with a very low level of insecurity.
Spatial analysis of pediatric pulmonary tuberculosis cases aged 0-14 years in West Java Province Laferani, Yuni; Makful, Martya Rahmaniati; Soviadi, Nabila Vebiana
BKM Public Health and Community Medicine Vol 39 No 02 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i02.6659

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Purpose: Infectious diseases, including tuberculosis (TB), remain a major public health concern worldwide, causing significant morbidity and mortality rates. Despite advances in medical science, the spread of infectious diseases such as TB is not limited by geography or age, and children are particularly vulnerable. As such, this study aims to investigate the global and local spatial effects of pediatric pulmonary TB cases in West Java Province, contributing to understanding TB transmission dynamics and informing effective disease control strategies. Methods: This ecological study employed aggregated data from the 2020 health profile of West Java Province, utilizing all 27 districts and cities. Natural breaks were utilized to classify cases, and data analysis was conducted using GeoDA and QGIS applications. Specifically, GeoDa was employed to conduct Moran's Index and Local Indicators of Spatial Association (LISA) spatial autocorrelation tests, while QGIS was used to generate distribution maps. Results: The study reveals the presence of positive autocorrelation with clustered relationship patterns globally based on the incidence of pediatric pulmonary TB cases (Moran's I: 0.225; P-value: 0.04). The LISA test identifies six districts with significant correlation (Bandung, West Bandung, Cimahi, Ciamis, Majalengka, and Tasikmalaya). Conclusion: The study findings reveal that cases of childhood pulmonary tuberculosis occur in clusters, emphasizing the importance of targeted interventions in areas with high observation values to prevent the spread of the disease to areas with low observation values. Prioritizing program interventions in high-risk areas can help reduce the incidence of children's pulmonary TB cases more effectively.
Spatial analysis of under five years pneumonia incidence in DIY Province 2020 Kusumadewi, Ni Nengah Sri; Makful, Martya Rahmaniati; Meutia, Liza
BKM Public Health and Community Medicine Vol 39 No 04 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i04.6669

Abstract

Purpose: Globally, pneumonia is a major cause of morbidity and mortality, as the largest burden of disease and death in developing countries. In 2018, more than 19,000 children under five died from pneumonia. The Under-five Mortality Rate (AKBa) reflects the social, economic, and environmental conditions in which children live and maintain their health. WHO issued an integrated global action to prevent and control the incidence of pneumonia and diarrhea (GAPPD). Yogyakarta is in the second position with the highest prevalence of pneumonia under five (3.7%). To carry out a more focused pneumonia prevention program, spatial pattern analysis is needed both globally and locally, this study examines whether there is a global and local spatial correlation in the number of pneumonia cases under five years in Daerah Istimewa Yogyakarta (DIY) in 2020. Methods: This ecological study uses aggregated data at the sub-district level. DIY Province has 78 sub-districts that serve as the unit of analysis. Results: The global spatial autocorrelation test on the number of cases of toddler pneumonia in DIY is significantly positive. High-high areas include the sub-districts of Semin, Ponjong, Rongkop, Semanu, Karangmojo, Wonosari, Playen, Paliyan, Saptosari and Panggang. Hot spots were found in the southeastern region. A closer look at the sub-districts in the hotspot area, all from Gunung Kidul Regency, shows that specific interventions targeting these areas must be strengthened, regional health planning and resource allocation. Conclusion: A cluster correlation (clustering) exists spatially with the number of toddler pneumonia in the DIY. Locally, it can be seen that the hot spots (high-high) and low-high districts are found in one district. So it is a priority area that needs comprehensive handling but with a different emphasis according to the characteristics of each sub-district in one district.
Spatial analysis of diarrhea in toddlers and environmental factors in the East Java Province Indonesia Sakti, Eka Satriani; Makful, Martya Rahmaniati; Tampubolon, Romariana Dewi
BKM Public Health and Community Medicine Vol 39 No 06 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i06.7973

Abstract

Purpose: The objective of this study was to conduct spatial analysis on the incidence of diarrhea in toddlers in East Java and to examine its relationship with environmental factors such as percentage of families with access to proper sanitation (healthy latrines), percentage of ODF (Open Defecation Free) villages, and percentage of drinking water facilities that meet the requirements in each district/city in East Java. Methods: The study utilized a cross-sectional study design with the 2020 East Java Province Health Profile serving as the data source. Moran's Index and the LISA bivariate test were used for the spatial analysis. Results: The findings revealed that there is a spatial autocorrelation in the number of diarrhea cases in toddlers (I value: 0.28, p value: 0.009). Out of the districts/cities studied, only 5 exhibited significant spatial correlation (Gresik, Sidoarjo, Mojokerto, Magetan, and Surabaya City) based on the LISA bivariate test results. Conclusion: Efforts to decrease the incidence of diarrhea cases in toddlers should focus on increasing the scope of environmental health programs, particularly in quadrant 1 (High-High) and 2 (Low-High) areas. Further analysis is required within the sub-district and village scope.
Evaluating spatial analysis of tuberculosis prevalence to identify priority districts or municipalities that need policy attention in West Java Emilia Pandin Madao; Hermawati, Ema; Putri, Nur A’isyah Amalia; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 40 No 04 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v40i04.12160

Abstract

Purpose: This study assesses the spatial autocorrelation of tuberculosis (TB) with population density, poverty, personal hygiene and environmental sani- tation (perilaku hidup bersih sehat, PHBS), and housing quality to identify critical areas for targeted TB management in West Java. Methods: This ecological study analyzes secondary data from all TB patients across 27 regencies/cities in West Java Province for 2022. Spatial patterns were examined using the Global Moran's Index and Local Indicators of Spatial Association (LISA). Results: The analysis revealed significant clustering of TB prevalence with population density (p-value = 0.001) and PHBS (p-value = 0.047). At the same time, dispersion was noted with poverty (p-value = 0.355) and a non-significant clustering with housing quality (p-value = 0.270). Notably, ten regencies/cities exhibited significant local spatial autocorrelat- ion, indicating priority areas for intervention. Conclusion: TB prevalence in West Java show a positive spatial correlation with population density and PHBS, indicating clustered patterns that necessitate focused policy attention. The absence of a spatial correlation between poverty and housing quality suggests different intervention strategies may be required. TB intervention should be prioritized in areas like Bekasi Regency, Bekasi City, Bogor Regency, Bogor City, Cianjur Regency, and Depok City, where TB prevalence is significantly associated with key spatial factors.
Analisis Spasial Kasus Pneumonia di Provinsi Sumatera Barat (Daratan) Tahun 2022 : Spatial Analysis of Pneumonia Cases in West Sumatra Province (Mainland) in 2022 Nia Watri Wahyuni; Makful, Martya Rahmaniati
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 7 No. 4 (2024): April 2024
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v7i4.4783

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Latar belakang: Pneumonia merupakan penyebab kematian anak terbesar dibandingkan penyakit menular lainnya. Di seluruh dunia, 800.000 balita meninggal karena pneumonia setiap tahunnya. Di Indonesia, lebih dari 19.000 balita meninggal karena pneumonia di 2018, atau lebih dari 2 anak setiap jam. Sumatera Barat merupakan wilayah yang capaian indicator pengobatan kasus pneumonia sesuai standar tahun 2022 di bawah target nasional (53%%) yaitu sebesar 13%. Kasus pneumonia di Sumatera Barat juga mengalami peningkatan dari tahun 2021 yaitu 3.546 kasus, menjadi 5.591 kasus pada tahun 2022. Analisis spasial diperlukan untuk mengetahui pola penyebaran kasus pneumonia antar wilayah dan memanfaatkan system informasi dan georafis untuk pemetaan wilayah. Tujuan: untuk memberikan gambaran dan karakteristik kecenderungan pola pengelompokkan wilayah. Metode: Penelitian ini merupakan studi ekologi untuk mengetahui pola sebaran kasus pneumonia di Sumatera Barat Tahun 2022 secara spasial dengan analisis autokorelasi Global Moran's Indeks dan LISA (Local Indicators of Spatial Autocorrelation). Hasil: Wilayah dengan kasus tinggi terdapat di 6 kabupaten/ kota, yaitu Kabupaten Solok. Kabupaten Padang Pariaman, Kabupaten Tanah Datar, Kabupaten Sijunjung Kabupaten Pesisir Selatan, dan Kota Padang. Global Moran’s Indeks = 0,118 (nilai yang positif) dan lebih besar dibandingkan nilai ekspektasi E(I) yaitu -0,0588 , mengidentifikasikan adanya autokorelasi spasial positif untuk kasus pneumonia di Provinsi Sumatera Barat (daratan). Dari hasil analisis, p-value 0,047 (< alpha 0,05), yang artinya terdapat autokorelasi spasial untuk kasus pneumonia di di Provinsi Sumatera Barat (daratan) tahun 2022. Ditemukan 1 wilayah yang memiliki kuadran high-high yaitu Kota Padang dan 1 wilayah dengan kuadran low- yaitu Kota Solok. Kesimpulan: Kasus pneumonia tinggi di Sumatera Barat terdapat di di 6 kabupaten/ kota, yaitu Kabupaten Solok, Kabupaten Padang Pariaman, Kabupaten Tanah Datar, Kabupaten Sijunjung, Kabupaten Pesisir Selatan, dan Kota Padang. Distribusi kasus pneumonia di Sumatera Barat bagian daratan memiliki pola yang mengelompok, dan kejadian pneumonia di suatu wilayah dipengaruhi oleh tetangga terdekatnya. Hasil analisis menunjukkan terdapat 1 wilayah pada kuadran high-high yaitu Kota Padang, dan 1 wilayah pada kuadran low-high, yaitu Kota Solok. Diharapkan pemerintah atau pengambil kebijakan dapat memprioritaskan wilayah yang memiliki kasus tinggi pneumonia, terutama wilayah Kota Padang sebagai hot-spot pneumonia dalam rangka meminimalisir dan menekan kasus pneumonia kedepannya.
Spatial Model of Geographic Distribution of Leprosy Cases in East Java Province, Indonesia Makful, Martya Rahmaniati; Handayani, Yolanda; Nugraha, Fajar
Unnes Journal of Public Health Vol. 13 No. 2 (2024)
Publisher : Universitas Negeri Semarang (UNNES) in cooperation with the Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujph.v13i2.4188

Abstract

 Leprosy is an infectious disease and serious health problem that causes disability. According to the World Report on Disability from the World Health Organization (WHO), leprosy is one of the main causes of disability. It can be transmitted through inhalation or contact with patients, which allows it to spread easily and generally occurs in developing countries, including Indonesia. The number of leprosy cases in Indonesia also fluctuates every year, particularly in East Java Province. This study aimed to apply leprosy spatial modeling by evaluating the heterogeneity of data distribution in East Java Province. Using data from the health profile of the East Java Province, the study analyzed socioeconomic variables, access to health services, and the condition of the home environment. Spatial analysis using Moran’s Index and the Spatial Error Model was employed to obtain spatial distribution and modeling patterns. Variables such as Human Development Index, poverty, access to healthcenters, and the physical condition of the home environment spatially affect leprosy cases. Cross-sectoral collaboration is needed to address leprosy cases. 
Analisis Spasial Cakupan Imunisasi di Kabupaten Serang, Indonesia di Tahun 2021 Fitri, Laelatul; Makful, Martya Rahmaniati
Faletehan Health Journal Vol 11 No 03 (2024): Faletehan Health Journal, November 2024
Publisher : Universitas Faletehan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33746/fhj.v11i03.744

Abstract

The incidence of deaths of children under five years of age in low- and middle-income countries due to imperfect immune system was estimated to increase, which actually can be prevented and reduced by immunization. In 2021, Banten Province received the highest immunization rating in Indonesia with coverage of 94.8%. However, in its Serang Regency, complete basic immunization coverage was only 89.2%. The aim of this study was to find out the spatial distribution of complete immunization coverage in Serang Regency, Banten Province, Indonesia in 2021. This research used an ecological study design with spatial analysis to estimate and analyze the distribution of immunization coverage in 29 districts in Serang Regency by looking at the number of integrated health post (Ina. posyandu) and the number of midwives spread across them. The analysis results showed a negative spatial autocorrelation of immunization coverage in Serang Regency in 2021. There was 1 district included in quadrant II (low-high), namely Bandung District and 1 district included in quadrant IV (high-low), namely Padarincang District.