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Journal of Ultimate Public Health
Published by Universitas Muhammadiyah Prof. Dr. Hamka
ISSN : 25982389     EISSN : 25982486     DOI : -
Core Subject : Health, Science,
Health Professions Immunology & microbiology Medicine & Pharmacology
Jump Health is a peer-reviewed academic journal of studies in public health science and learning published biannually in May and November. Given that the journal prioritizes research reports in Jump Health, viewpoint articles in the same field will be considered for publication.
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Articles 77 Documents
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The Effect of Domain Responsiveness on Inpatient Satisfcation in Inpatient Community Health Centers in 2017 (Data Analysis of Responsiveness in Risnakes 2017) Ayu Tyas Purnamasari; Pujiyanto
JUMP Health (Journal of Ultimate Public Health) Vol. 4 No. 2 (2020): November 2020
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jump-health.v4.i2.p304-322

Abstract

Background: Community health centers have a role as gatekeepers within a healthcare system, even so, the utilization rate of inpatient community health centers was lower than those of government hospitals and private hospitals in 2015-2017. The low utilization rate of the inpatient community health centers might be caused by several dissatisfied patients and the low quality of the healthcare in terms of medical and nonmedical (responsiveness) aspects. Therefore, this study aims to find out the effect of responsiveness on patient satisfaction. Method: This study was using the dataset which was obtained from Healthcare Workforce Research data in 2017 from The Health Research and Development Agency regarding responsiveness in inpatient community health. The data was analyzed by using Structural Equation Modeling (SEM). Results: The domains of responsiveness consisting of dignity (t-values = 2,23), communication (t-values = 3,40), prompt attention (t-values = 2,64), quality of basic amenities (t-values = 8,37), and access to social support (t-values = 2,20) affected the patient satisfaction. Conclusion: The overall inpatient satisfaction is affected by nonmedical aspects (responsiveness) particularly the quality of basic amenities. Keywords: responsiveness, nonmedical aspects, patient satisfaction, inpatient community health centers
Spatial Analysis of Dengue Hemorrhagic Fever Cases with Rainfall and Humidity as Influencing Factors in DKI Jakarta Province 2020 Astika Azhari Utomo; Arifa Rahma Izzati; Gita Fitri Cahyani; Fathonah Sholihah Farizal; Gitri Syiamil; Hasna Khalishah; Shelvira Afifah; Muhammad Gozi Ataya; Agung Saputra
JUMP Health (Journal of Ultimate Public Health) Vol. 4 No. 2 (2020): November 2020
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jump-health.v4.i2.p323-340

Abstract

Background: DKI Jakarta is included in the 10 provinces in Indonesia with the highest number of dengue cases. Physical environmental conditions, such as humidity and rainfall, are one of the risk factors that can affect the increase in the incidence of dengue cases. Objectives: The purpose of this study was to determine the effect of rainfall and humidity factors on the incidence of Dengue Hemorrhagic Fever (DHF) in DKI Jakarta Province on the first three months of 2020. Method: The research sample in the form of rainfall and humidity data from January to March 2020 was obtained from the Meteorological, Climatological, and Geophysical Agency (known as BMKG) online data and DKI Jakarta’s Central Bureau of Statistics (known as BPS) website. The method of spatial analysis are conducted using GIS software, QGIS version 3.16.4. Statistical analysis was conducted using IBM SPSS 22 software. Result: The results of statistical analysis using the Pearson correlation test showed that both variables have no significant correlation with number of DHF cases (p-value > 0.05). The conclusion is that the level of rainfall and humidity in the first 3 months of 2020 is not related significantly to the number of dengue cases, because there are many other factors influencing the DHF condition itself. Conclusion: This situation can happen because there are so many factors that influence the incidence of DHF itself. The incidence of DHF can be influenced by factors such as population mobility, changes in population density and distribution, as well as many other epidemiological factors that still need to be investigated.
Spatial Analysis of Rainfall Levels with the Incidence of Dengue Hemorrhagic Fever (DHF) in Central Java Province in 2019 Rifka Putri Salma; Novita Anindia; Muhammad Hanif Fadhilah; Chiara Maharani; Izzah Dinillah; Khalisa Zahra; Nurmawaddah; Risdiyanti Arsyil; Yosephine Roma Intan; Raihan Rasyad Albiruni; Ema Hermawati; Al Asyary
JUMP Health (Journal of Ultimate Public Health) Vol. 4 No. 2 (2020): November 2020
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jump-health.v4.i2.p341-353

Abstract

Dengue Hemorrhagic Fever (DHF) is an acute viral infectious disease caused by the dengue virus. This disease cannot be transmitted directly from person to person, but through the bite of a female Aedes aegypti mosquito infected with the dengue virus, it can also be spread by other species, namely Aedes albopictus. Extraordinary Events (KLB) DHF usually occur in endemic areas and are associated with the presence of the rainy season. This study intends to find out whether dengue cases in all districts in Central Java Province have a relationship with rainfall levels during 2019. In this study, spatial analysis and statistical analysis methods were used on secondary data available online through literature studies from various references. Through the results of this study, it is known that there is no relationship between the number of dengue cases and the intensity of rainfall in Central Java Province in 2019.
Spatial Analysis of Rainfall, Humidity, Temperature Factors on Dengue Hemoraghic Fever Case in East Java 2019 Sinta Rizki Agustin; Alysha Lalita Aryanti; Feby An'nisa Putri Harahap; Virli Andani Harnelis; Grace Hana Rapar; Lulu Fajria Qotrunnada; Nada Syifa; Nurul Fathiya Rizqina; Shabrina Banafsaj Zata Amani; Farhan Adrian; Al Asyary; Ema Hermawati
JUMP Health (Journal of Ultimate Public Health) Vol. 4 No. 2 (2020): November 2020
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jump-health.v4.i2.p354-366

Abstract

Background: Dengue hemorrhagic fever (DHF) is a disease with high morbidity and mortality in Indonesia caused by Aedes aegypti and Aedes albopictus bites that carry the dengue virus. Environmental factors such as rainfall, temperature, and humidity are among the factors that affect the incidence rate of the disease. East Java is one of the provinces in Indonesia with high dengue cases in 2019, namely 18,397 cases.Methods: The analysis carried out in this study is an observational analysis using multi-temporal analysis and statistical regression tests using data on the incidence of DHF and climatological data in the form of temperature, humidity, and rainfall. The study uses 2 analyses, which is spatial analysis and bivariate analysis. Before performing data analysis, the data is tested for normality using the normality test. A spatial analysis is then made with QGIS to visualize the data into a map so that the relationship between the DBD case and the climatological factor can be seen more clearly.Results: The results of statistical tests using the ANOVA test showed significant results with p = 0.022 and an R-square of 0.138. Meanwhile, for the Pearson correlation test, there is a moderate positive relationship between rainfall and cases. Based on the ANOVA tests performed on the case data and temperature, it is known that there is no correlation between the case and temperature due to the p value of 0.94, which is greater than 0.05, however, the Pearson correlation test results in an R-squared value of 0.031, which indicates a correlation between the temperature and dengue cases by 3.1 %. Based on the ANOVA test and the Pearson correlation test performed on cases and humidity, it is known that there is no correlation between the dengue cases and the humidity.Conclusion: In previous studies, it was known that climatic factors such as rainfall, temperature, and humidity could affect the incidence of Dengue Fever due to the activity of mosquito vectors. Based on the statistical test analysis through SPSS conducted by the researchers this time, only temperature and humidity had a relationship with the incidence of DHF. A preventative measure can be done by monitoring climate patterns so that dengue cases can be controlled on time to control dengue cases in East Java.
Spatial Analysis of the Influence of Rainfall and Humidity Factors on the Event of Dengue Hemoraghic Fever Cases at West Java Province in 2019 Fadhilah Rasya; Jerikco Lewiyonah; Mitha Theresia; Ghina Labibah; Sinta Ainun Rahma; Haikal Fikry; Mida Arafina Nurdita; Amelia Putri; Kharizqamir Dwitili Elipen
JUMP Health (Journal of Ultimate Public Health) Vol. 4 No. 2 (2020): November 2020
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jump-health.v4.i2.p367-379

Abstract

Background: The number of cases of Dengue Hemorrhagic Fever (DHF) in West Java Province in 2019 was approximately 8500 cases that occurred in various regencies and cities with a morbidity rate of 46.72 per 100,000 population and a Case Fatality Rate of 0.41. Dengue Hemorrhagic Fever (DHF) is a serious problem in West Java Province which has a population of 49.94 million people.Method: This study aims to determine the results of spatial analysis in the incidence of Dengue Hemorrhagic Fever (DHF) in West Java Province. This type of research uses an ecological study design.Results: The results of statistical tests using the Chi-Square Test showed that there was no significant correlation between the variables of rainfall and humidity with dengue cases in West Java Province in 2019 (p value = 0.93 for rainfall data and p value = 0.Conclusion: The highest number of dengue cases in West Java Province in 2019 was in Bandung Regency, which was 1783 cases. From the map analysis, it can be seen that of the 25 regions in West Java there are 16 areas that are categorized as high humidity, 6 areas are categorized as medium humidity, and 3 areas are categorized as low humidity. Areas that have very high rainfall are in the Depok area and Bogor.
Sunshine Correlated with Decreasing Death Outcome among Covid-19 Patients: Pre-Assuming Vitamin D that Triggered Immunity Meita Veruswati; Al Asyary; Rony Darmawansyah Alnur; Aries Prasetyo
JUMP Health (Journal of Ultimate Public Health) Vol. 4 No. 2 (2020): November 2020
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jump-health.v4.i2.p294-303

Abstract

Previous decades, sunshine was taking as medication therapy for respiratory infectious as it triggered vitamin D in fostering body immune. The objective of this brief study is to estimate the outcome of Covid-19 patients as they were exposed by sunshine exposure in those were having care delivery in Surabaya referred hospitals, Indonesia. We collected and analyzed the available Covid-19 data from hospitals surveillance data from the local government of Surabaya data center, including the Meteorological, Climatological, and Geophysical Agency. Three outcomes of Covid-19 were investigated in this study includes: incidence, death, and recovered. The Covid-19 incidence in Surabaya was climbing over the period of investigation. Only the number of dead Covid-19 patients correlated significantly with sunshine exposure in those having care delivery in hospitals (p-value<0.01; r = -0.739). Our findings showed that sunshine correlated significantly with Covid-19’s death outcome in Surabaya.
Covid-19 and Elderly Al Asyary; Hermawan Saputra; Sarah Handayani
JUMP Health (Journal of Ultimate Public Health) Vol. 4 No. 2 (2020): November 2020
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jump-health.v4.i2.p291-293

Abstract

N/A

Page 8 of 8 | Total Record : 77

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