Analisis Multilevel: Ekuitas Akses Layanan Kesehatan Suspek TB pada Tujuh Provinsi di Indonesia
Abstract
At present, three countries, namely India, China, and Indonesia, contribute the largest tuberculosis (TB) cases in the world. The World Health Organization has set a target of minimum 70% case detection rate (CDR). However, until 2004, the CDR in Indonesia was only 51.8%. Although TB drugs are provided for free and trained personnel are ready in appointed health facilities to provide DOTS, CDR has been low due to low access to the facilities. The specific objectives of this study were to develope euation modeling of individual, household, and district level variables affecting the access. This research used cross sectional data of BES II evaluation and BPS data. Multilevel statistical analyses of GLLAMM logistic regression intercept were carried out to attain the study objectives. The study found that variables associated with access to TB centers at individual level are knowledge of free TB programs (OR = 2.2; 95% CI 1.97-2.81), health insurance (OR = 2.9; 95% CI 1.5-7.75), advice (OR = 3.5; 95% CI 1.69-7.14), perceived moderate costs of health centers (OR = 1.54; 95% CI 1.11-4.79), perceived cheap transportation cost (OR = 7.8;95% CI 2.57-23.43), and perceived nearness to health facilities (OR = 22.5; 95% CI 3.4-148.4). At the household level, are: time travel to health facilities and household income per capita, and at the district level, these factors are the proportion of individual below poverty (OR of second quarter = 0.49; 95% CI 0.22-0.83) and the ratio of population to health facilities (OR of second quarter = 0.43; 95% CI 0.12-0.66).
Untuk informasi lebih lengkap, dapat mengakses link berikut : Analisis Multilevel: Model Akses Layanan Kesehatan Suspek Penderita Tuberkulosis Di Indonesia – Neliti
Key Words: Tuberculosis, access, determinants model, multilevel analyses
