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Infant mortality rate is one indicator of health development level and quality of life of a country. Kabupaten Banjar has the highest of neonatal mortality numbers in South Borneo. Neonatal mortality is not caused by a single factor but multifactor. This study aims to determine the factors associate with neonatal mortality in Kabupaten Banjar, South Borneo in 2014-2015. The methods of this study is case control, multivariate analysis used logistic regression. The results of this study indicate that the factors significantly associated with neonatal mortality are birth weight (OR=5,8, 95% CI:3,0-11,1), maternal education (OR=4,5, 95% CI:1,6-12,8), pregnancy complications (OR=2,7, 95% CI: 1,6-4,6) gestational age (OR=2,4, 95% CI: 1,1-5,0), frequency of standard ANC visits (OR=2,2, 95% CI:1,2-4,1), place of delivery (OR=2,1, 95% CI:1,1-3,9) and parity (OR=2,1, 95% CI:1,2-3,6) and occupational (OR=1,8, 95% CI:0,9-3,5) as a confounding variabel. The factor that must impact is birth weight. Birth weight ≤ 2500 gram is 5,9 times higher (95% CI 3,1-11,3) to neonatal mortality than birth weight ≥ 2500 gram. Increased insight and competence of midwife through training of case management of low birth weight, communication information and education strategies about factors of neonatal mortality and creates ideas for increase the ANC visits are required to reduce neonatal mortality in Banjar District. Keywords: factors of mortality; neonatal
Tuberculosis paru masih merupakan masalah kesehatan utama di dunia. Sepertiga penduduk dunia telah terinfeksi oleh Mycobacterium tuberculosis. Di tahun 2000 diperkirakan muncul 10,2 juta penderita bare tuberculosis dan 3,5 juta orang meninggal karenanya setiap tahun. WHO menyebutkan bahwa Indonesia merupakan penyumbang TB terbesar ketiga didunia setelah India dan Cina (Depkes R1,2002). Sampai saat ini di seluruh Indonesia pemberantasan penyakit tuberculosis masih jauh dari yang diharapkan_ Peningkatan kasus dan kematian tuberculosis antara lain karena tidak diobati, basil pengobatan yang rendah serta adanya kasus kasus barn. Juga kasus yang tidak sembuh dan kasus kambuh. Oteh karena itu masalah ketidaksembuhan merupakan prioritas yang paling panting untuk diselesaikan. Tujuan .Penelitian ini bertujuan mengembangkan model prediksi ketidaksembuhan penderita tuberculosis paru BTA positif melaiui identifkasi determinan dominan terhadap ketidaksembuhan penderita TB paru BTA positif di kabupaten tangerang. Metode. Desain penelitian studi Iongitudinal telah digunakan pada penderita TB pare BTA (+) dengan faktor karakteristik penderita dan faktor akses Iainnya. Analisis data menggunakan metode regresi logistik ganda untuk memperoleh model paling balk (fit), sederhana (parsimonious), dan tepat (robust) sehingga dapat menggambarkan hubungan variabel dependen dengan satu set variabei independen. Jumiah sample 164 penderita dan 23,2% diantaranya mengalami ketidaksembuhan. Pada penelitian ini juga telah menemukan model prediksi ketidaksembuhan penderita tuberculosis paru BTA Positif. HASIL Analisis regresi logistik ganda menunjukkan ketidaksembuhan penderita TB paru, pekerjaan (faktor karakteristik), jarak dari numb ke puskesmas dan keterjang)Cauan (faktor akses). Dengan jarak sebagai determinan yang paling dominan. Hasil penelitian ini menunjukkan bahwa jarak mempunyai OR = 2,71 95%CI :1,21 - 6,07), Keterjangkauan OR = 2,54 (95% CI :1,12-5,76) dan pekerjaan OR x,41 (95%C1: 0,18- 0,92). Kesimpulan. Penelitian menyimpulkan bahwa peranan akses yaitu jarak jauh dekat ketempat puskesmas, keterjangkauan dan pekerjaan penderita TB paru BTA Positif mempunyai pengaruh terhadap ketidaksembuhan penderita selama pengobatan.
Tuberculosis is still a major problem worldwide, one third of the world population are infected by Mycobacterium tuberculosis. In the 2000, approximately 10,2 million of new cases are identified and 3,5 million people died because of this disease annually. WHO state that Indonesian is the third country most contribute tuberculosis problem after India and China ( Depkes RI,2002). Up to present the tuberculosis rehabilitation program in Indonesian is still far away from expected outcomes. Increasing morbidity and mortality of tuberculosis because of not treatment patients, cure rate still low, new cases, not recovery patient and relapse. So the problem about not recovery cases to be a priority to solve. The purpose of the study was determining variables influence not recovery cases of tuberculosis patient in Tangerang. Method : the design of this study was longitudinal retrospective with tuberculosis patients as subjects and characteristic, access factors to influence. The data were analyze using the multiple logistic regression in order to find the most proper ( fit), simple (parsimonious) and the right (robust). Model in order to describe the relationship between the outcome variable and one set predictor variables. 164 subjects participated in the study of which 38(23,2%) of the subject are identify as cases not recovery . Based on the findings the study also propose a predicted model of tuberculosis patient not recovery treatment. Result. Multiple logistic regression analysis show that the predictor of the outcome are job, distance and to reach, and distance is the main determinant. The result of this study showed that distance have OR = 2,71 95% CI : 1,21-6,07; to reach have OR =2,54 95% CI: 1,12 - 5,76; Job have OR 0,41 95% CI : 0,18 -- 0,92; Conclusion : this study have conclusion that a distance have a lead of access factors and to reach of the others and job of tuberculosis patient have definitive influence not recovery cases.