RESUMEN
Knowing the level of SARS-CoV-2 transmission is crucial for decision-making on Coronavirus disease (COVID-19) handling. Guidelines for measuring SARS-CoV-2 antibodies to estimate seroprevalence are conceptually straightforward and internationally available. However, challenges exist for developing countries with limited laboratory capacity, diverse geographical topography, fragmented health information systems and limited resources such as Indonesia. One year after the first case was confirmed in Indonesia, approximately ten infections were undiagnosed or underreported for every reported case. Under those circumstances, we described the method and lessons learned in conducting nationwide cohort COVID-19 serology surveys in a nation with limited resources, such as Indonesia. â¢Strong cross-sectoral collaboration between ministries and levels of governance (central and subnational) enables strategic use of civil registration database for efficient sampling.â¢All agglomeration districts (highly dense population and urban area) were selected as study sites, and additional non-agglomeration districts were selected using probability-proportional-to-size (PPS).â¢Involving the experienced phlebotomist in community health service provider and district laboratory cut down preparation time.
RESUMEN
The 2016 Global TB Report stated that only 35.3% of people with TB were reported in Indonesia from around 1,020,000 estimated incidents. This of course makes the risk of people with TB who have not been found to transmit the disease will increase. Of all districts in Indonesia, not all of them have good TB case finding coverage rates. Many factors lead to this, resulting in inequality in the discovery and reporting of TB cases. It is important to know the characteristics of districts with households diagnosed with TB. The research using secondary data analysis using Riskesdas 2013 data and 2014 Podes data studied the characteristics of districts with households diagnosed with TB in Indonesia. The results showed that there was an influence of district characteristics with the proportion of low economic households (0.6%) on the characteristics of districts with households diagnosed with TB. This study suggests strengthening programs related to TB prevention and control efforts in at-risk households and as a basis for sharpening intervention priorities based on the level of TB epidemics in districts/cities.
RESUMEN
BACKGROUND: Operational research is currently one of the pillars of the global strategy to control tuberculosis. Indonesia initiated capacity building for operational research on tuberculosis over the last decade. Although publication of the research in peer-reviewed journals is an important indicator for measuring the success of this endeavor, the influence of operational research on policy and practices is considered even more important. However, little is known about the process by which operational research influences tuberculosis control policy and practices. OBJECTIVE: We aimed to investigate the influence of operational research on tuberculosis control policy and practice in Indonesia between 2004 and 2014. DESIGN: Using a qualitative study design, we conducted in-depth interviews of 50 researchers and 30 policy makers/program managers and performed document reviews. Transcripts of these interviews were evaluated while applying content analysis. RESULTS: Operational research contributed to tuberculosis control policy and practice improvements, including development of new policies, introduction of new practices, and reinforcement of current program policies and practices. However, most of these developments had limited sustainability. The path from the dissemination of research results and recommendations to policy and practice changes was long and complex. The skills, interests, and political power of researchers and policy makers, as well as health system response, could influence the process. CONCLUSIONS: Operational research contributed to improving tuberculosis control policy and practices. A systematic approach to improve the sustainability of the impact of operational research should be explored.
