Introduction: In 2016, UN Member States committed to reduce new HIV infections to fewer than 500,000 annually by 2020, a 75% reduction compared with 2010, reduce AIDS-related deaths to fewer than 500,000 globally as a means of ending AIDS by 2030. The UNAIDS 2020 target is to have 90% of the people living with HIV know their status, 90% of the people living with HIV (who know their HIV status as positive) are already on ART treatment, 90% of people on treatment are virally suppressed. The objective of this study is to determine the current status towards the 2020 90-9-90 UNAIDS target and the factors associated with HIV viral load suppression in Kediri city. Methods: The study was a cross-sectional study in Kediri city. The researcher collected secondary data, carried in-depth interviews, then determined the percentage of HIV-positive patients that did a HIV test and received their results as Positive, the percentage of HIVpositive patients that started ART treatment, the percentage of HIV-positive patients that have viral load suppression from the viral load tests done. A simple bivariate logistic and multivariate logistic regression was used to determine the significant factors that determine viral suppression. Results: The progress towards the 90-90-90 UNAIDS target was at 6.4%, 74.9%, 9.9%. The time taken by the HIV-positive patient to start ART treatment from the time of confirmation of HIV positive (AOR= 83.191,) and decrease in body weight of the patient (AOR=29. 636,) were found to significantly influence viral load suppression. Conclusion:There is a need to scale up HIV case-detection capacity through creating awareness about HIV, HIV testing and counselling and expand the ART services so as to achieve the 90-0-90 UNAIDS target. Early initiation to ART treatment (Test and Treat) and encouraging body gaining behaviors are needed to achieve viral load suppression.

Introduction In 2016, UN Member States committed to reduce new HIV infections to fewer than 500,000 annually by 2020, a 75% reduction compared with 2010, reduce AIDS-related deaths to fewer than 500 000 globally as a means of ending AIDS by 2030. The main UNAIDS 2020 target is to ensure that 90% of the people living with HIV know their status, 90% of the people living with HIV (who know their HIV status as positive) are already on ART treatment, 90% of people on treatment are virally suppressed. The objective of the study is to determine the current situation towards the 2020 90-9-90 UNAIDS target and the factors associated with HIV viral load suppression at Pesantren 1 Health center Method The study was a cross sectional study at Pesantren 1 Health Center in Kediri city. The researcher collected secondary data at from the January 2018 till May 2019, carried in depth interviews, then determined the percentage of HIV positive patients that did a HIV test and received their results as Positive, the percentage of HIV positive patients that started ART treatment, the percentage of HIV positive patients that have viral load suppression from the viral load tests done. The researcher used the chi square analysis to determine the significant factors that may determine viral suppression that are already on ART treatment and then applied the binary logistic regression to determine the significant factors that determine viral suppression among the HIV positive patients that are already on ART treatment. Results The progress towards the 90-90-90 UNAIDS target was at 2.4%, 93.4%, 20.5%. The time taken by the HIV positive patient to start ART treatment from the time of confirmation of HIV positive and the time taken to take the first viral load test from the time when this patient started ART treatment were significantly influencing Viral load suppression. Conclusion There is need to scale up HIV case-detection capacity through creating awareness about HIV, HIV testing and counselling (HTC), reducing stigma and discrimination and also need to expand of the ART services so as to achieve the 90-0-90 UNAIDS target.

Background: Anemia is a pregnancy complication that increases the morbidity and mortality of mother and baby during pregnancy and until puerperium. In 2015, the incidence of anemia in Indonesia was 23%. Purpose: The aim of this study was to determine factors that influence anemia in the third trimester of pregnancy. Methods: The study was conducted on pregnant women in Mojokerto. This study used a case-control design. The sample calculation results obtained 70 cases and 70 controls. The primary and secondary data were obtained from the MCH book and from interviews conducted according to questionnaire guidelines. Data were analyzed via chi-squared test and logistic regression test. Results: The factors that influence anemia in the third trimester of pregnancy were found to be age (p value = 0.04; OR 2.08; 95% CI = 1.04–4.16), occupation (p value = 0.02; OR = 2.27; 95% CI = 1.15–4.47), birth interval (p value = 0.03; OR = 2.25; 95% CI 1.08-4.69), nutritional status (p value = 0.02; OR = 2.33; 95% CI = 1.14- 4.82), knowledge [about anemia] (p value = 0.01; OR = 3.17; 95% CI = 1.41-7.09), income per month (p value = 0.03, OR = 2.25; 95% CI =1.08–4.69), smoking activity (p value = 0.04; OR = 2.00; 95% CI = 1.02–3.92), perception (p value = 0.02; OR = 2.20; 95% CI = 1.10–4.40) , and spousal support (p value = 0.01; OR = 2.63; 95% CI = 1.16 – 5.93) Conclusion: The most influential factors on anemia in the third trimester of pregnancy were birth interval, nutritional status, and knowledge.

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The human immunodeficiency virus (HIV) remains a major global public health problem. People with HIV/acquired immune deficiency syndrome (AIDS) aremore susceptible to opportunistic infections such as tuberculosis (TB). Therefore, families and community leaders need to help monitor people living with HIV/AIDS (PLWHA). This study aimed to analyze an integrated family approach and local support model to detect TB cases in PLWHA. This study used acase-control study in Kupang City, East Nusa Tenggara Province, in July 2020. The sample comprised 100 people (50 PLWHA with TB case and 50 controls) using total sampling and random sampling, respectively. The variables related to TB case finding in PLWHA were family employment status, duration of HIV/AIDS, family knowledge of TB, and family support. The data were analyzed using multiple logistic regression. The families with PLWHA with an extendedillness duration (OR = 0.81, 95% CI = 0.69–0.95, p-value = 0.01), families who did not work (OR = 3.31, 95% CI = 1.16 9.41, p-value = 0.025), families who had good knowledge (OR = 4.79, 95% CI = 1.70–13.51, p-value = 0.003), and families who provided good support (OR = 3.03, 95% CI = 1.05–8.76, p-value= 0.04) were better able to detect TB in PLWHA.