Muhammad Syarif Rukua, Muhammad Syarif
STIKES IST Buton, Soulth East Sulawesi

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Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang Rukua, Muhammad Syarif; Martini, Santi; Notobroto, Hari Basuki
Jurnal Berkala Epidemiologi Vol 3, No 3 (2015): Jurnal Berkala Epidemiologi
Publisher : Faculty of Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (246.73 KB) | DOI: 10.20473/jbe.v3i3.1693

Abstract

ABSTRACTDefault relating to the regularity of treatment in the patients taking the drugs. If the leprosy patients taking medication irregularly, then the leprosy bacteria can become resistant or immune to Multy Drug Therapy, so the symptoms persist and even worsen. The purpose of this study was to determine the indicators and develop a predictive index formula default incidence of leprosy treatment. This type of research was a case control design. The sample size in this study was 62 respondents. The sampling technique in this study used simple random sampling technique. Data collection techniques done with interviews with the questionnaire. The results showed that a candidate indicator variables (p <0.25) is income (p value = 0.013), access to health care (p value = 0.022), the role of health workers (p value = 0.032), knowledge (p value = 0.001), and family support (p value = 0.023), perception of the disease (p value = 0.098), leprosy reactions (p value = 0.198). Variables as indicators of default treatment of leprosy patients are the role of health workers, family support, knowledge, and income. The predictive index of default treatment at multibacillary leprosy patients are (-1666+ 1451 * Revenues (low) + 1989 * Role of Health Personnel (less instrumental) + 1.338 * Knowledge (less) + 1543 * Support Family (unfavorable). This index has a 79% accuracy rate. This index is expected to be used as a measuring tool in helping health workers to screen patients with leprosy who are undergoing treatment, so early can know where the potential patients defaulting treatment.Keywords: indicators, predictive index, default of treatment, leprosy, multibacillary