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The World Health Organization (WHO) predicts an increase in the number of people with diabetes mellitus (DM) is one of the global health threats. The predicted increase in the number of people with diabetes in Indonesia from 8.4 million in 2000 to around 21.3 million in 2030.Diabetics and its complications bring huge economic losses to diabetics and their families, the national health system and economy through direct medical costs, lost work and income. Low adherence to medication can result in an increased risk of treatment costs, an increased risk of complications and the risk of hospitalization. Identification of the factors associated with low patient compliance with DM treatment is the aim of this study so that this study is expected to provide solutions and strategies to improve treatment adherence. This study was an observational analytic study with a cross sectional design. The data used in this study are secondary data from Riskesdas 2018 throughout Bali Province with logistic regression analysis and the size of the relationship is expressed in the prevalence odds ratio (POR) with α = 0.05. In the multivariate analysis, the final model that relates to adherence to DM treatment in Bali in 2018 is statistically namely work (POR 1.164 95% CI 1.019-1.329 p-value 0.002), residence (POR 0.864 95% CI 0.764-0.978 p-value 0.021 ), gender (POR 0.816 95% CI 0.717-0.929 p-value 0.002), and age (POR 0.779 95% CI 0.665-0.912 p-value 0.002) while the level of education was not statistically significant
Malaria merupakan masalah kesehatan dunia termasuk Indonesia karena mengakibatkan dampak yang luas dan berpeluang menjadi penyakit emerging dan re-emerging. Di Wilayah South East Asian Region (SEARO) yang Indonesia menjadi salah satu negara anggotanya, malaria merupakan masalah kesehatan masyarakat yang utama. Data Kasus Baru malaria tahun 2009/2010 di seluruh Indonesia berdasarkan Riset Kesehatan Dasar (Riskesdas) 2010 adalah 22,9 per mil, sedangkan di Provinsi Sulawesi Utara (61,7?).
Penelitian ini menggunakan desain cross sectional yang bertujuan untuk memperoleh gambaran karakteristik individu, faktor lingkungan dan perilaku yang berhubungan dengan kejadian malaria klinis di Provinsi Sulawesi Utara 2010. Penelitian dengan studi kuantitatif melibatkan 2272 subyek penelitian yang diperoleh data dari Riskesdas 2010, dengan jumlah kejadian malaria klinis sebanyak 408 subyek. Dari 20 variabel yang dianalisis multivariat di Provinsi Sulawesi Utara didapatkan ada 6 variabel yang berhubungan secara signifikan yaitu : pendidikan : OR = 2,04 (95% CI : 1,59 ? 2,62) dengan p value = 0,000, rawa-rawa : OR = 1,57 (95% CI : 1,10 ? 2,25), dengan p value = 0,014, pantai : OR= 0,49 (95% CI : 0,31 ? 078) dengan p value = 0,003, perkebunan : OR = 1,58 (95% CI : 1,25 ? 2,00) dengan p value = 0,000, tidur menggunakan kelambu : OR = 0,59 (95% CI : 0,41 ? 0,85) dengan p value = 0,005 dan memakai obat nyamuk bakar/elektrik : OR = 0,59 (95% CI : 0,45 - 0,78) dengan p value = 0,000.
Analisis juga dilakukan pada 8 Kabupaten dan 4 Kota di provinsi Sulawesi Utara dan hasilnya ada 4 Kabupaten dan 2 Kota yang sebagian variabel mempunyai hubungan signifikan dengan kejadian malaria klinis yaitu : Kabupaten Kepulauan Talaud, Kabupaten Minahasa, Kabupaten Kepulauan Sangihe, Kota Manado, Kota Tomohon dan Kabupaten Minahasa Utara.
Disarankan kepada masyarakat yang tinggal di sekitar rawa-rawa, pantai dan perkebunan hendaknya selalu menjaga kebersihan lingkungan serta memakai obat nyamuk bakar/elektrik. Untuk Dinas Kesehatan Provinsi Sulawesi Utara pelaksanakan program "Gebrak Malaria" hendaknya lebih diintensifkan dan melibatkan seluruh lapisan masyarat. Untuk peneliti lain supaya dapat melakukan penelitian yang lebih mendalam tentang Malaria atau Malaria Klinis di daerah endemis malaria di Provinsi lain dengan menggunakan data hasil Riskesdas 2010 atau data terbaru di wilayah tersebut.
Malaria is a global health problem, including Indonesia, because it resulted in a broad impact and may appear and re-emerging diseases. Regional Southeast Asia Region (SEARO) and Indonesia became one of its member countries, malaria is a major public health problem. The new malaria cases in 2009/2010 Data for Health Research in Indonesia based on the Basic (Riskesdas) 2010 is 22.9 per mile, whereas in the Province of North Sulawesi (61.7 ?).
This study uses cross sectional design which aims to obtain a picture of individual characteristics, environmental factors and behaviors associated with the incidence of clinical malaria in North Sulawesi province in 2010. Research with quantitative studies involving 2272 subjects who obtained the data from Riskesdas 2010, with the incidence of clinical malaria as much as 408 subjects. Of the 20 variables in the multivariate analysis of the North Sulawesi province to find there are six significant variables related to: Education: OR = 2.04 (95% CI: 1.59 to 2.62) with p-value = 0.000, bog: OR = 1, 57 (95% CI: 1.10 to 2.25), with a p-value = 0.014, coast: OR = 0.49 (95% CI: 0.31 to 078) with a p-value = 0.003, plantations: OR = 1 , 58 (95% CI: 1.25 to 2.00) with p-value = 0.000, using mosquito nets to sleep: OR = (95% CI: 0.41 to 0.85) 0.59 with a p-value = 0.005 and use mosquito repellent/electric: OR = 0.59 (95% CI: 0.45 to 0.78) with p-value = 0.000.
The analysis was also conducted in eight counties and four cities in the province of North Sulawesi and the results there are four counties and two cities that some variables have a significant relationship with the incidence of clinical malaria namely: Talaud Islands, Minahasa, Sangihe Regency, Manado, Minahasa regency Tomohon and north.
It is recommended for people who live in the vicinity, the coast marshes and plantations should always keep the environment clean and using mosquito repellent / electric. For the North Sulawesi Provincial Health Office, the implementation of "Gebrak Malaria" program should be improved and involve all layers masyarat. For other researchers to conduct more in-depth research on Malaria, Clinical malaria or malaria in endemic areas in other provinces using data from Riskesdas 2010 or latest data in the region.
One of the microangiopathic complications and the most important cause of death in people with diabetes is Diabetic Nephropathy. The purpose of this study was to describe the incidence of renal disorders in patients with diabetes and the factors that influence the event at the RSCM in 2012. The study was conducted in patients with DM were treated well in the outpatient (Poly DM) and hospitalizations using cross-sectional design. The research sample consisted of 255 patients who elected seara DM random sampling. The results showed that as many as 34.9% of the sample had Kidney Disorders. Results of chi-square analysis showed that there is a relationship between sex and the incidence of long- suffering DM Kidney Disorders.
