The Analysis of Incidence of Dengue Hemorrhagic Fever in Public Health Center of Celikah Ogan Komering Ilir Regency

Background: Dengue Hemorrhagic Fever is one of many infectious diseases that can cause death in a short time and can cause epidemics. Based on the data from the Health Department OKI 2016, public health center of Celikah is endemic DHF puskesmas with the rate of DHF still high and exceeds of national indicator is expected that is IR <51 per 100,000. This study aimed to determine the risk factors that influence of dengue hemorrhagic fever. Method: This study used a case control study design. The samples of this study were 114 samples from 57 dengue hemorrhagic fever cases and 57 controls of the ratio of 1: 1. The data analysis that has been done were univariate, bivariate analysis by using chi-square test and multivariate logistic regression using predictive models. Result: The variables significantly associated with the incidence of dengue hemorrhagic fever were age (p value = <0.001; OR = 9.000; 95% CI: 2.486- 32.579), gender (p value = 0.002; OR = 5.622; 95% CI: 1.934-16.337), occupation (p value = 0.001; OR = 3.743; 95% CI: 1.718- 8.155), knowledge (p value = 0.015; OR = 2.750 95% CI: 1.284 -5.889), drain water reservoir (p value = 0.004; OR = 3.672; 95% CI: 1,554- 8.677), the installation of wire gauze (p value = <0.001; OR = 7.884 95% CI: 3.247- 19.142), health care utilization (p value = 0.012; OR = 2.9 95% CI: 1,322- 6.362). Variables that are not related, among others, education, attitudes, habits hang clothes, plants surrounding the house and the history of DHF. Age is the most dominant variable influenced by the incidence of DHF after controlling for other variables (p value = 0.007; OR = 14.153; 95% CI: 2,062- 97.154). Conclusion: The result of this study for relevant agencies are to increase the efforts of promotive and preventive care in order to reduce the number of DHF

Description of Behavior Positive Deviance Nutritional Status the Children Who Have 1-3 Years Old and Child Nutrition Maternal of Poor Families in the Village of Pemulutan Ulu Subdistrict Pemulutan, Ogan Ilir

Background : The growth and development problem of toddler is a serious because at this age, the critical period of growth and development in physical and intelligence. Mostly, malnutrition problem occurs in poor family, but no doubt there are poor families have childrenwith good nutritional. This study aims to describe the behavior of positive deviance nutritional status of mothers and toddlers from poor family in Pemulutan Ulu village, district of Ogan Ilir. Method : The study was an observational study with cross-sectional design. Research conducted on the toddler and the toddler's mother. Sample as many as 5 motherwho have toddler with good nutrition status from poor family and 5 mother who have toddler with under nutrition status from poor family.So, there are 10 mothers with their toddler. Data is collected through observational and in-depth interviews. Data was analysis by using qualitative analysis and presented in tabular and narrative. Result : The results showed that toddler who have good nutritional status from poor families have positive behaviordeviance in daily habits, such as : feeding habits, hygiene habits and habits using health services were very good and true. At the time that toddlers who have under nutritional status from poor families have worse habits well enough and one that directly or indirectly affect the nutritional status of toddler. Conclusion : Mother who have a toddler with good nutritional status have positive behavioral deviance in daily habits, such as : feeding habits, hygiene and health care utilization for children toddler wasgood and truce in comparison with mothers who have toddler under nutritional status even though they come from poor families

Analysis of Risk Factors for Pulmonary Tb Incidence in Work Area Health Kertapati Palembang

Background: Tubercullosis (TB) Lung as a public health problem that is very important and serious worldwide and is a disease that causes global emergencies. Indonesia is the country with the fourth highest prevalence. Pulmonary TB incidence is influenced by host factors (Host) and the environment. Kertapati Public health Centre with highest number of cases in 2013. Numbers of cases from October 2013 to December 2014 amounted to 89 cases. The purpose of this study was to determine the risk factors of pulmonary TB in the region Puskesmas Kertapati Palembang. Method: This study used case control design. The number of subjects was 66 consisting of 33 cases and 33 controls. Data is collected using medical records of patients at the health center program Kertapati P2TB in Palembang in 2015, using questionnaires to measure variables residential neighborhood, with consecutive sampling techniques. Data was analyzed by univariate and bivariate Result: Results of the study found that the incidence of pulmonary TB associated with age (OR=0.3; 95% CI 0.12-0.89), the last of education (OR=3.9: 95% CI 1.34-11.6), the type of floor (OR=16.7; 95% CI 4.63-60.1), ventilation (OR=27.12; 95% CI 5.49-133.84), residential density (OR=4.3; 95% CI 1,39-12.95), the contact with TB (OR=4.7; CI 95% 1,44-15,075), nutritional status (OR=16.7; 95% CI 4.96-56.4).Conclusion: The incidence of pulmonary tuberculosis in Puskesmas Kertapati were age, level of education, nutritional status. Environmental factors include the density of residential housing, ventilation, types of flooring, as well as contacts with pulmonary TB patients. Suggestions for relevant agencies in order to prioritize efforts to promotive and preventive efforts to increase public knowledge about pulmonary TB

Determinants Analysis of Pulmonary Tuberculosis Incidence in Tugo Mulyo Primary Care in 2011/2012

Background: Pulmonary Tuberculosis is an infectious disease that\u27s caused by Tuberculosis Mycobacteria that primarily attacks the lungs, lymph nodes, and intestines. The cases of pulmonary Tuberculosis in Tugu Mulyo Health Centre was three cases in 2008, 10 cases in 2009, 17 cases in 2010 and 44 cases in 2011 data indicated significant the increase of pulmonary tuberculosis every year. This research aimed to find determinants of pulmonary tuberculosis in Tugu Mulyo Health Center in 2011 to 2012. Method: This research used case control design. Respondent in this research were people cases who ever suffered or have been suffering from Tuberculosis in 2011 – 2012 that had treatment tuberculosis in Tugu Mulyo primary care, while control group was people who check their sputum in Tugu Mulyo Health Centre with negative result of TB. Result of research: Results of statistical test shows age (p=0.07 OR = 2.6 (CI: 95%: 0.89-7.60)), gender (p=0.89 OR=1.1(Cl: 95%: 0.47-2.50)), don\u27t have correlation with Pulmonary Tuberculosis event. Based on regression analysis of multivariate logistic, there are four most influential variables, that is age, behavior, knowledge, and attitude had other variable adjusted. Conclusion: The Tugu Mulyo Health Centre needs to improve pulmonary tuberculosis survey program to field in case tracking and counseling to improve society\u27s knowledge about tuberculosis disease with improving physical housing environment

Determinant of Maternal Near Miss Incidence in Indonesia (Analysis Ofsecondary Data Sdki 2007)

Background : According to WHO (2009) Maternal near miss is a "woman who nearly died but survived the complications that occur during pregnancy, childbirth or during the 42 days after delivery." Women who experienced maternal near miss can provide adequate information related to the state is going through. By knowing the characteristics of mothers who experienced maternal near miss and the outcome of the incident prevention can be done. Methods : This study is a further analysis of the SDKI data (2007) and using the analytical method with a cross-sectional study design. The sample of this study were women aged 15-49 years had married and had a child last born alive or dead 5 years before and have completeness complications data of pregnancy and childbirth survey; 14 559 respondents. Data analysis techniques with univariate and bivariate statistical test chi-square and weighted the attention cluster and strata. Results : The prevalence of maternal near miss was 341 (2.3%). Independent variables revealed statistically associated with the incidence of maternal near miss is that women with low education (OR = 1.45 and 95% CI = 1.02 to 2.05), spacing births (OR = 1.81 and 95% CI = 1, 19 to 2.75), where the birth (OR = 0.55 and 95% CI = 0.33 to 0.90), and women with a history of cesarean delivery (OR = 1.67 and 95% CI = 1.06 - 2.61). While perinatal outcomes associated with the incidence of maternal near miss is a low birth weight (LBW) (OR = 2.50 and 95% CI = 1.49 to 4.18), stillbirth (stillbirth) (OR = 12.18 and 95% CI 3.60 to 41.20), early infant death (early neonatal death) (OR = 2.62 and 95% CI = 1.17 to 5.83). Conclusion : Some of the variables associated with the incidence of maternal near miss can be modified to increase the traffic of atennal care to detect women who are at risk. So it can reduce the effect of maternal near miss inciden

Risk Factor of Measles in Children Age 1-14 Years in Metro Pusat District Lampung Province 2013-2014

Background: Measles is a an acute disease caused by paramyxovirus. In Lampung province incidence rate (IR) of measles is 5,89 per 100,000 population and in Metro Pusat it still high (38,8%). Aim of this research is to know the risk factor of measles in children age 1-14 years in Metro Pusat District 2013-2014. Method: This research use cases control design, sample in this research was 102, consisting of 34 cases and 68 control. The sample collecting by taking all the clinical case, while control by neighborhood. Data collecting by questionnaire and observation home environment. Data were analyzed using univariat, bivariat, and multivariate analysis. Result: The results of research that measles associated with maternal occupation (OR 3.2; CI 95% 1,355-7,798), immunization status (OR 3,0; CI 95% 1,242-7,646), history of contact (OR 3.7; CI 95% 1,199-11,545), family income (OR 3,0; CI 95% 1,242-7,464), and density of occupancy (OR 3.3; CI 95% 1,348-8,277). Next the results of multivariate analysis that risk factor of measles is maternal occupation,giving breastfeeding, history of contact, family income, and the density of occupancy. Conclusion: Measles determinants is the history of contact. The advice can be given that this research should be done monitoring and activities counseling , information and education about measles, exclusive breastfeeding and providing vitamin A, then training cadres can move liveliness mother in posyandu activities, and Counseling to mother about treatment of child with measles

Social Determinants of Malaria in the Working Area of Puput Public Health Services, West Bangka

Background : Malaria is a preventable and curable disease and yet more than one million people die from it each year. It is a disease that significantly affects the poor who have economic, social and educational deprivation. Malaria is also a disease that flourishes in conditions of crisis and population displacement (Oxfam, 2008). The Working Area of Puput Public Health Services is an ​​high malaria-endemic area with API 43.92 ‰ in 2011 and was the highest in the west Bangka district. The purpose of this study was to determine the major social determinants of health as risk factors of malaria occurance in the working area of puput Public Health Services at west Bangka district in 2012. Methods: The design of this study was the unmatched case control with population based case-control and purposive sampling, respondents consisted of 58 cases and 58 controls selected from the reported malaria positive patients based on laboratory test results in puput Public Health Services in 2012. Data processed with SPSS 19 program. The statistical analysis was carried out by the chi-square test and logistic regression: a p-value of less than 0.05 was considered to be statistically significant. Result : Variable that were associated with incidence of malaria is housing conditions (p=<0,001), Environmental conditions (p=<0,001), working conditions (p=0,001), habits going out at night (p=<0,001), malaria prevention behaviors (p=<0,001), health services (p=0,007) and migration (p= 0,004). There was no association between socioeconomic (p=0,266) with incidence of malaria. Logistic regression analysis showed that the variables that are risk factors for malaria is the habit of going out at night (adjusted OR: 6,7; 95% CI: 1,6-28,4), environmental conditions (adjusted OR: 5,6; 95% CI: 1,2-25,5) and malaria prevention behaviors (adjusted OR: 4,1; 95% CI: 1,4-11,9). Conclusion : Improve malaria control with increase education, use of insecticidal nets by people at risk, indoor residual spraying (IRS) with insecticide to control the vector mosquitoes, and policy on the provision of malaria drug to prevention in immigrant population. health insurance that covers immigrants