Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang
Default 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universitas Airlangga
2015-09-01
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| Series: | Jurnal Berkala Epidemiologi |
| Online Access: | http://e-journal.unair.ac.id/index.php/JBE/article/view/1693 |
| _version_ | 1818929377562329088 |
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| author | Muhammad Syarif Rukua Santi Martini Hari Basuki Notobroto |
| author_facet | Muhammad Syarif Rukua Santi Martini Hari Basuki Notobroto |
| author_sort | Muhammad Syarif Rukua |
| collection | DOAJ |
| description | Default 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 |
| first_indexed | 2024-12-20T03:43:50Z |
| format | Article |
| id | doaj.art-d9fe5927379a4fb39736e30467b6cd39 |
| institution | Directory Open Access Journal |
| issn | 2301-7171 2541-092X |
| language | English |
| last_indexed | 2024-12-20T03:43:50Z |
| publishDate | 2015-09-01 |
| publisher | Universitas Airlangga |
| record_format | Article |
| series | Jurnal Berkala Epidemiologi |
| spelling | doaj.art-d9fe5927379a4fb39736e30467b6cd392022-12-21T19:54:40ZengUniversitas AirlanggaJurnal Berkala Epidemiologi2301-71712541-092X2015-09-013338739910.20473/jbe.v3i3.2015.387-3991361Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District SampangMuhammad Syarif Rukua0Santi Martini1Hari Basuki Notobroto2STIKES IST Buton, Soulth East SulawesiDepartment Epidemiology, Faculty of Public Health, Universitas AirlanggaDepartment Biostatistik dan Kependudukan, Faculty of Public Health, Universitas AirlanggaDefault 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, multibacillaryhttp://e-journal.unair.ac.id/index.php/JBE/article/view/1693 |
| spellingShingle | Muhammad Syarif Rukua Santi Martini Hari Basuki Notobroto Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang Jurnal Berkala Epidemiologi |
| title | Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang |
| title_full | Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang |
| title_fullStr | Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang |
| title_full_unstemmed | Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang |
| title_short | Development of Predictive Index for Default Treatment At Multibacillary Leprosy in District Sampang |
| title_sort | development of predictive index for default treatment at multibacillary leprosy in district sampang |
| url | http://e-journal.unair.ac.id/index.php/JBE/article/view/1693 |
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