East Nusa Tengga (NTT) province is a malaria endemic area in Indonesia, according to API data (Annual Paracite Incidence) 2017; NTT province had highest cases of malaria at 5.76% per 1,000 populations. These morbidity rates include pregnant women. Data from the Health Service Office of East Nusa Tenggara Province (NTT) in 2014, malaria reported cases were 13.69% per 1,000 population, in 2015, it decreased to 7.06% per 1,000 population, in 2016, it decreased to 5.78‰ per 1,000 population and in 2017, it decreased to 3.77‰ per 1,000 population. Malaria cases in East Sumba Regency in 2016 were 3964 cases, in 2017, there were 7621 cases and in 2018, there were 1649 cases and 23 cases of malaria in pregnant women. East Sumba has 22 districts, 11 of which had cases of pregnant women with 1.40% positive malaria. The overall objective was to explore possibilities of preventing malaria among pregnant women by testing the correlation among eight variables that are relevant among pregnant women. Analytical research with case control design approach has been used in this study which is an analytical study concerning how risk factors are studied using a retrospective approach. In can be concluded that from 12 variables factors, there are five variables that have a correlation with the incidence of malaria in pregnant women, namely malaria medicine, insecticide-treated mosquito nets, health workers, family support and infrastructure. Between these five factors, the health worker factor is the one that simultaneously influences the incidence of malaria in pregnant women.

Compliance with TB treatment has now become a problem that must be handled seriously because the high non-adherence rate will give a bad contribution to the success of TB treatment, including MDR-TB and also morbidity and mortality. Many innovations have been made to improve TB treatment adherence, one of which is using mobile-based technology. This article aims to explore the effectiveness of the technology used to improve treatment adherence in TB patients: types, ways of working, advantages, and limitations of each application. This is a systematic review through searching 3 databases, namely Scopus, WoS, and Science Direct. Some of the advantages in applying technology to improve TB treatment adherence are easy to use if you understand how to operate tools/applications are cost-effective because they reduce transportation costs in reaching remote areas or in conditions of transportation difficulties such as after a disaster, the use of this technology provides patient satisfaction in treatment and facilitates the involvement of the family/support system in the treatment of patients. Several things must be considered (limitations) of the technology to be used, including experts, patient knowledge and skills, economic condition, electricity availability, and whether the technology used will not increase the burden on patients related to the stigma of TB disease. We can conclude that the use of technology is indeed very good in supporting the improvement of TB treatment adherence, but the selection of this application must pay attention to the characteristics of the population as well as the advantages and limitations of each application.

Compliance with TB treatment has now become a problem that must be handled seriously because the high non-adherence rate will give a bad contribution to the success of TB treatment, including MDR-TB and also morbidity and mortality. Many innovations have been made to improve TB treatment adherence, one of which is using mobile-based technology. This article aims to explore the effectiveness of the technology used to improve treatment adherence in TB patients: types, ways of working, advantages, and limitations of each application. This is a systematic review through searching 3 databases, namely Scopus, WoS, and Science Direct. Some of the advantages in applying technology to improve TB treatment adherence are easy to use if you understand how to operate tools/applications are cost-effective because they reduce transportation costs in reaching remote areas or in conditions of transportation difficulties such as after a disaster, the use of this technology provides patient satisfaction in treatment and facilitates the involvement of the family/support system in the treatment of patients. Several things must be considered (limitations) of the technology to be used, including experts, patient knowledge and skills, economic condition, electricity availability, and whether the technology used will not increase the burden on patients related to the stigma of TB disease. We can conclude that the use of technology is indeed very good in supporting the improvement of TB treatment adherence, but the selection of this application must pay attention to the characteristics of the population as well as the advantages and limitations of each application. Keywords: Technology, Adherence, Tuberculosis