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.
Background Almost all pregnant people in Sri Lanka receive antenatal care by public health midwives. While there is strong infrastructure in Sri Lanka for postpartum mental health care, the current practices within antenatal mental health care have not been externally evaluated. The purpose of this study is to investigate the current clinical guidelines and experiences of how public health midwives diagnose and treat antenatal depression. Methods We conducted in-depth interviews with 12 public health midwives from four antenatal clinics in the Bope Poddala division in Galle, Sri Lanka and reviewed and extracted information on antenatal depression from clinical guidelines. Data was collected in Sinhala and translated into English. We used applied thematic analysis and worked closely with our local team to ensure data trustworthiness. Results Midwives (n = 12) reported varying degrees of knowledge on antenatal depression and did not have standardized diagnosis patterns. However, they were very consistent in their clinical practices, following guidelines for referral and follow-up of case management, building strong rapport. In their practice, midwives continue to face challenges of lack of human resources and high stigma around mental illness. They suggested that that care could be improved with use of a standardized diagnostic tool, and easier access to specialist care. We found the clinical guideline on the diagnosis and treatment of antenatal depression is lacking key details on symptoms for appropriate diagnosis, but it clearly guides on how to navigate treatment. Conclusions Public health midwives are following the clinical guideline to refer pregnant women who need intervention for antenatal depression and follow-up for case management. However, there is a need for more specific and context-relevant guidelines, especially for diagnosis of antenatal depression. Formative research is needed to explore intervention strategies to improve antenatal depression management in Sri Lanka.
Background There is a high prevalence of antenatal depression in low-or-middle-income countries, but information about risk factors in these settings is still lacking. The purpose of this study is to measure the prevalence of and explore risk factors associated with antenatal depressive symptoms in Galle, Sri Lanka. Methods This study used a mixed-method approach. The quantitative portion included 505 pregnant women from Galle, Sri Lanka, with health record data, responses to psychometric questionnaires (MSPSS and PRAQ-R2), and antenatal depression screening (EPDS). The qualitative portion included interviews with public health midwives about their experiences and routine clinical practices with women with antenatal depressive symptoms. Results Prevalence of antenatal depressive symptoms was 7.5%, highest in women over the age of 30 (13.0%, OR = 3.88, 95%CI = 1.71 – 9.97), with diabetes (21.9%, OR = 3.99, 95%CI = 1.50 – 9.56), or pre-eclampsia in a previous pregnancy (19.4%, OR = 3.32, 95%CI = 1.17 – 8.21). Lower prevalence was observed in the primiparous (3.3%, OR = 0.29, 95%CI = 0.12 – 0.64) employed outside the home (3.6%, OR = 0.33, 95%CI = 0.13 – 0.72), or upper-middle class (2.3%, OR = 0.17, 95%CI = 0.04 – 0.56). Anxiety levels were elevated in depressed women (OR = 1.13, 95%CI = 1.07 – 1.20), while perceived social support was lower (OR = 0.91, 95%CI = 0.89 – 0.93). After multivariable adjustment, only parity (OR = 0.20, 95%CI 0.05 – 0.74) and social support from a “special person” (OR = 0.94, 95%CI = 0.77 – 0.95) remained significantly associated with depressive symptoms. Qualitative findings also identified antenatal health problems and poor social support as risk factors for depressive symptoms. They also identified different contributing factors to poor mental health based on ethnicity, higher stress levels among women working outside the home, and misinformation about health conditions as a cause of poor mental health. Conclusions Prevalence of antenatal depressive symptoms in Galle is lower than the recorded prevalence in other regions of Sri Lanka. Risk factors for antenatal depressive symptoms were identified on biological, psychological, and social axes. These variables should be considered when developing future guidelines for mental health and obstetric treatment in this context.
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