In the light of completing the knowledge related to Sabu use in Indonesia, this research aims to estimate the serology and behaviors that are at risk of HIV infection and other infectious diseases among population of crystal-meth (Sabu) users. By selecting six major cities in Indonesia, namely West Jakarta, Denpasar, Batam, Makassar, Medan and Bandung, this research was conducted from the beginning of February 2016 until June 2017. This study was consulted with Advisory Board team in which comprised representatives from government sectors and Non-Governmental Organizations. In addition, field data collection process has been supported by local team in six study sites.
The study uses quantitative approach with cross-sectional method. The primary respondents of this study are active crystal-meth users verified by urine test, aged above 18 years old, and resided in the study site for at least 1 year. The data represented in this study analyze from 1,498 respondents were involved in the data gathering using Respondent Driven Sampling in choosing the respondents. Behavioral data were collected using adaptation questionnaire of the Indonesian Integrated Behavioral Surveillance for injecting drug users with some adjustment for crystal-meth uses, sexual networks and social network sections. In addition, The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was developed for the World Health Organization (WHO) were also utilized to specifically measure severity of drug use problems. The biological data has been compiled to understand the status of HIV, Hepatitis B, Hepatitis C, and Syphilis among respondents. The procedure to retrieve biological data were undertaken by certified medical staff. Small quantity of vein blood was taken to be rapid tested by standardized reagents. The data collection process has been assisted by LIME SURVEY, an online survey questionnaire. This action is taken to ensure the collected data were completed consistently. The procedure of biological data collection supervised by district health laboratory division as part of quality assurance procedure. Data analysis was conducted using statistic tools, such as: RDSAT version 7.1, RDS-A version 0.57 and STATA version 14 to assess the characteristics of social network, estimate population and to identify association between variables.
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