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Penelitian ini membahas tentang gambaran tingkat kesamaan diagnosis klinis kasus DBD oleh petugas medis di puskesmas dan RSUD Cilacap serta faktor - faktor apa saja yang mempengaruhi penetapan diagnosis klinis kasus DBD di Kabupaten Cilacap Provinsi. Desain penelitian ini adalah studi potong lintang. Hasil penelitian ini didapatkan bahwa kesepakatan diagnosis klinis kasus DBD antara petugas medis di Puskesmas dan RSUD Cilacap tergolong sangat baik (nilai kappa 0,82), dimana pelatihan, pengetahuan, sikap dan motivasi merupakan faktor yang berhubungan dalam penetapan diagnosis klinis kasus DBD. Untuk itu perlu di lakukan sosialisasi, pelatihan dan supervisi serta penyediaan sarana untuk pemeriksaan diagnostik kasus DBD.
This study about reliability of DHF diagnosis in PHC and Cilacap Hospital and determinant of DHF diagnosis in Cilacap District. The study was cross sectional study. This study found that the agreement of clinical diagnosis of dengue cases among the medical doctors in PHC and Cilacap hospital classified as verry good (kappa value 0.82). training, knowledge, attitude and motivation factor of the most were determinant of the agreement of clinical diagnosis of DHF cases. The study recommended to socialize the results of the study,conducting training on clinical diagnosis and condunting supervision regularly.
Dengue hemorrhagic fever (DHF) is an infectious disease in the form of an acute infection by the dengue virus, which is transmitted by the Aedes mosquito. Dengue fever cases in Indonesia in 2024 until the 12th week of dengue fever cases have increased by 2.6 times compared to cases in 2023 in the same week. The number of dengue incidents in Cilacap Regency in 2024 has increased up to 6 times compared to the previous year's events. The purpose of this study is to determine the relationship between climate change (rainfall, air temperature and air humidity) and the incidence of dengue fever in Cilacap Regency in in January 2022 till July 2024. The study design is in the form of an ecological study by analyzing secondary data from the Population Control and Family Planning Health Office and secondary data from the Meteorology, Climatology, and Geophysics Agency of Cilacap Regency in a total sample. The analysis was carried out univariate and bivariate with Pearson correlation test and linear regression analysis using SPSS ver. 20. The results of the analysis show that rainfall and air humidity have no significant relationship. Meanwhile, air temperature has a significant relationship (P=0.02, r=0,416). Researchers concluded that an increase in air temperature may affect the increased incidence of dengue hemorrhagic fever, because the air temperature is able to accelerate the breeding of Aedes mosquitoes. So that if there is an increase in air temperature, it is recommended to the Meteorology, Climatology, and Geophysics Agency to provide information to the health office for population control and family control, so that it is used as a concern to be vigilant and immediately take preventive measures.
ABSTRAK Infeksi virus dengue masih merupakan masalah kesehatan di Indonesia saat ini termasuk di Kota Banjarmasin dengan angka kematian yang tinggi, Tahun 2011 dilaporkan CFR 8,3% dimana sebagian besar pasien DBD ini dirawat di RSUD ULIN dan RSUD Ansari Saleh Banjarmasin, sementara penegakkan diagnosis sering sulit, apalagi dalam menilai apakah pada akhirnya akan terjadi shock (Dengue Shock syndrome) atau tidak. Peningkatan hematokrit, penurunan angka trombosit, leukosit dan serta perilaku pasien sebelum dirawat (lamanya sakit, rujukan) biasanya terjadi sebelum demam turun dan sebelum terjadinya shock. Hal ini merupakan diagnostik yang penting dan prognosis yang berharga dalam mendeteksi Dengue Shock Syndrome. Sehingga dengan mengetahui faktor resiko ini dapat mencegah/ mengurangi kematian Metode: Penelitian bersifat observasional dengan disain kasus kontrol. Kasus adalah penderita yang didiagnosis DSS berdasarkan diagnosis dokter yang merawat. Sedangkan kontrol adalah penderita yang didiagnosis sebagai tersangka DBD oleh dokter yang merawat. Data penelitian diperoleh dari data rekam medis dan formulir Kewaspadaan Dini Rumah Sakit (KD-RS) yang dirawat di RSUD ULIN dan RSUD Ansari Saleh dalam periode bulan April 2010 sampai Maret 2012. Rancangan analisis ditujukan untuk memperoleh nilai Odds Ratio (OR) dilanjutkan dengan multivariat analisis untuk mengetahui faktor risiko yang dapat mendeteksi DSS sejak dini. Hasil Penelitian: Variabel yang signifikan secara statistik dan di masukkan ke dalam prediksi model akhir adalah Jenis Kelamin perempuan (OR=3,250 95% CI=1,178-8,970), hematokrit ≥25,97% (OR=7,86 95% CI=2,748-22,500) , leukosit ≤ 4764,47 (OR=3,826 95% CI=1,375-10,647), lama sakit ≥4 hari (OR=3,146 95% CI=1,179-8,397) dan rujukan dari puskesmas (OR=4,543 95% CI=1,700-12,139).Variabel yang paling dominan yang berhubungan dengan kejadian Dengue shock syndrome adalah hematokrit. Dari hasil tersebut disarankan agar tenaga kesehatan dan akademisi perlu meningkatkan standar pelayanan penyakit yang lebih efektif dan efesien yang berisiko terjadinya Dengue Shock Syndrome.
ABSTRACT DHF is still a health problem in Indonesia is currently included in Banjarmasin city with a high mortality rate in 2011 was reported CFR 8.3% where the majority of dengue patients are treated at the Ulin Hospital and Ansari Saleh Hospital Banjarmasin, while the diagnosis is often difficult, especially in assessing whether it will eventually happen shock (dengue shock syndrome) or not. This is an important diagnostic and prognostic value in the detection of Dengue Shock Syndrome. So that by knowing these risk factors can prevent / reduce mortality. Methods: The study is an observational with case-control design. Cases are those who hospitalized and diagnosed as suspect Dengue haemorrhagic fever by clinicans using WHO criteria.Controls are those who hospitalized and diagnosed as suspect Dengue Haemorrhagic fever by the clinicans. Data were collected from medical records and (KD-RS) are treated in Ulin Hospital and Ansari Saleh Hospital in the period from April 2010 until March 2012. Analysis design is done to obtain Odds Ratio (OR) and followed by using multivariate logistic regression to determine risk factors that can detect early DSS. Consclusion: The significant variables in statistic manner and put into the final model predictions are increasing Female sex (OR=3,250 95% CI=1,178-8,970), haematocryt ≥25,97% (OR=7,86 95% CI=2,748-22,500) leukopenia ≤4764,47 (OR=3,826 95% CI=1,375-10,647), lengh of hospital ≥4 days (OR=3,146 95% CI=1,179-8,397) and referrals from Health centers (OR=4,543 95% CI=1,700- 12,139). From these results it is suggested that health professionals and academics need to improve service standards diseases more effectively and efficiently at risk of Dengue Shock Syndrome.
