IntroductionCaesarean section (C-section) has been a public health concern globally. This study investigated the change in C-section rate in 1998–2017 in Indonesia and explored the socioeconomic, geographic and health system factors associated with the use of C-section.MethodsWe analysed data from demographic health surveys in 2002–2003, 2007, 2012 and 2017 in Indonesia. We included women who reported giving birth within 5 years of each round of the survey (n=56 462) into the analysis. Cross-tabulation was used to examine change of C-section rate by year. We conducted bivariate and multivariate logistic regressions to study the determinants of C-section use.ResultsIn Indonesia, the C-section rate increased from 4.0% in 1998 to 18.5% in 2017. In 2017, the C-section rate in urban areas (22.9%) was almost two times that in rural areas (11.8%). It was almost three times among the richest wealth quintile (36.5%), compared with the poorest wealth quintile (12.9%). Between 2008 and 2017, the difference in the C-section rate by public services enlarged between the poorest and the richest groups. The absolute increase of the C-sections by private services was more than public services over time. In 2013–2017, the C-section rates by public and private services were 22.5% and 23.1%, respectively. After adjusting for all variables, higher education, higher household wealth, primiparity and use of public childbirth services were positively associated with C-section.ConclusionsThe C-section rate increased steadily in the past two decades in Indonesia. Women’s socioeconomic status and health system factors were associated with the increased use of C-section.
Objective: To investigate the change in C-section rate in 1998-2017 in Indonesia and explore the socioeconomic, geographic, and health system factors associated with the use of C-sections. Design: Analysis from demographic health survey (DHS) data in 2002-3, 2007, 2012, and 2017. Setting: Nationwide. Population: 40743 women who reported giving birth within five years of each round of the survey. Methods: Cross-tabulation was used to examine change of C-section rate by year. We conducted bivariate and multivariate logistic regressions to study the determinants of C-section use. Main outcome measures: C-section rate at the population level. Results: In Indonesia, C-section rate increased from 4.0% in 1998 to 18.5% in 2017. In 2017, C-section rate in urban areas (22.9%) was almost two times that in rural areas (11.8%). It was almost three times among the richest wealth quintile (36.5%), compared to the poorest wealth quintile (12.9%). Between 2008 and 2017, the difference in C-section rate by public services enlarged between the poorest and the richest groups. The absolute increase of C-section by private services was more than public services over time. In 2013-2017, the C-section rates by public and private services were 22.5% and 23.1%, respectively. After adjusting for all variables, higher education, higher household wealth, primiparity, and use of public childbirth services were positively associated with C-section. Conclusions: The C-section rate increased steadily in the past two decades in Indonesia. Women's socioeconomic status and health system factors were associated with the increased use of C-section.
Objective: To investigate the time to treatment initiation (TTI) for multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) patients after diagnosis in Indonesia and biological, psychological and social factors associated with the time interval. Methods: This study was conducted in Persahabatan Hospital, Jakarta using a mixedmethods approach. Registry data and medical records of MDR/RR-TB patients were collected and matched (hospital dataset), and linked with psychosocial assessment results (linked dataset). Descriptive analysis was conducted to understand patient characteristics and the distribution of TTI after RR-TB diagnosis by GeneXpert. Generalised linear regression was used to analyse factors associated with delay duration, and logistic regression to explore factors associated with the delay longer than the median duration for both datasets (basic vs. extended model). In-depth interviews were conducted with patients and healthcare workers to understand the procedure of treatment initiation and how different factors led to delay. Results: The hospital dataset included 275 patient-matched cases, and 188 were further linked with psychosocial assessment results. The median time interval was 24 days [interquartile range (IQR) 23.5] and 26 days (IQR 21.25), respectively. Regression analysis showed that in the extended model, comorbidities (exp [coefficient] = 1.93), unemployment (exp [coefficient] = 1.80) and poor knowledge of MDR/RR-TB (exp (coefficient) = 1.67) seemed to have the strongest effects on prolonging the time interval (p < 0.05). Unsuccessful TB treatment history was the only factor that significantly increased the risk of delay longer than the median duration (p < 0.05) in the basic model, while none of the factors were significant in the extended model. The qualitative study identified provider-side factors (centralised service provision and insufficient human resources) and patient-side factors (physical weakness, psychological stress and financial concern) associated with treatment delay. Conclusion: MDR/RR-TB patients in Persahabatan Hospital, Jakarta, Indonesia waited around 25 days for treatment initiation after RR-TB diagnosis. Health system solutions are needed to address challenges facing both MDR/RR-TB patients and healthcare providers to reduce delay in treatment initiation.K E Y W O R D S drug-resistant tuberculosis, health system, Indonesia, treatment initiation delay Permata Silitonga and Weixi Jiang contributed equally as first authors.
Background: Indonesia suffers from a high burden of tuberculosis (TB) and diabetes (DM). The government initiated national TB-DM co-management activities under the National TB Control Program in 2017. This study investigates the detection and treatment outcomes of TB-DM in Jakarta after implementing these activities, and identifies the main factors associated with these outcomes. Methods: A retrospective cohort study was conducted using TB registry data in two districts of Jakarta, East Jakarta (low-income) and South Jakarta (high-income). A 5-step cascade analysis was used: diagnosed TB patients; TB patients tested for DM; diagnosed TB-DM patients; and patients received and completed TB treatment/cured. We conducted descriptive analyses to understand the characteristics of TB and TB-DM patients, and used a two-level mixed-effect logistic regression to explore factors associated with having a DM test and completing TB treatment/being cured. Results: Over the study period (2017-2019) 50.8% of the new pulmonary TB patients aged over 15 were tested for DM. The percentage increased from 41.7% in 2017-2018 to 60.1% in 2019. Of the TB patients tested for DM, 20.8% were diagnosed with DM. Over 90% of the detected TB-DM patients received standard TB treatment, 86.3% of whom completed treatment/were cured. Patients in East Jakarta were more likely to be tested for DM and to complete standard TB treatment/be cured than patients in South Jakarta (P<0.001). Bacteriologically positive TB patients were more likely to be tested for DM (OR=1.37, 95% CI 1.17,1.60). Patients diagnosed in sub-district level healthcare centers had a higher likelihood of being tested for DM than those in government and private hospitals (P<0.05). Receiving DM treatment was associated with a higher likelihood of completing TB treatment/being cured (OR=1.82, 95% CI 1.20, 2.77).Conclusions: TB-DM case detection significantly improved in 2019 after introducing TB-DM co-management activities in Jakarta, while gaps in TB-DM co-management existed between bacteriologically positive and clinically diagnosed TB patients, and across different types of health facilities. Collaboration between TB and DM departments should be strengthened, and more resources need to be mobilized to further improve the co-management of TB-DM in Indonesia.
Background Indonesia suffers from a high burden of tuberculosis (TB) and diabetes (DM). The government initiated national TB-DM co-management activities under the National TB Control Program in 2017. This study investigates the detection and treatment outcomes of TB-DM in Jakarta after implementing these activities, and identifies the main factors associated with these outcomes. Methods A cross-sectional study was conducted using TB registry data in two districts of Jakarta, East Jakarta (low-income) and South Jakarta (high-income). A 5-step cascade analysis was used: diagnosed TB patients; TB patients tested for DM; diagnosed TB-DM patients; and patients received and completed TB treatment/cured. We conducted descriptive analyses to understand the characteristics of TB and TB-DM patients, and used a two-level mixed-effect logistic regression to explore factors associated with having a DM test and completing TB treatment/being cured. Results Over the study period (2017–2019) 50.8% of the new pulmonary TB patients aged over 15 were tested for DM. The percentage increased from 41.7% in 2017–2018 to 60.1% in 2019. Of the TB patients tested for DM, 20.8% were diagnosed with DM. Over 90% of the detected TB-DM patients received standard TB treatment, 86.3% of whom completed treatment/were cured. Patients in East Jakarta were more likely to be tested for DM and to complete standard TB treatment/be cured than patients in South Jakarta (P < 0.001). Bacteriologically positive TB patients were more likely to be tested for DM (OR = 1.37, 95% CIs 1.17,1.60). Patients diagnosed in sub-district level healthcare centers had a higher likelihood of being tested for DM than those in government and private hospitals (P < 0.05). Receiving DM treatment was associated with a higher likelihood of completing TB treatment/being cured (OR = 1.82, 95% CIs 1.20, 2.77). Conclusions TB-DM case detection significantly improved in 2019 after introducing TB-DM co-management activities in Jakarta, while gaps in TB-DM co-management existed between bacteriologically positive and clinically diagnosed TB patients, and across different types of health facilities. Collaboration between TB and DM departments should be strengthened, and more resources need to be mobilized to further improve the co-management of TB-DM in Indonesia.
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