Background: Adolescent fertility is a main indicator of the Sustainable Developmental Goal (SGD) three. Although Sri Lanka is exemplary in maternal health, the utilization of Sexual and Reproductive Health services (SRH) by adolescents is less documented. We describe the hidden burden, associated biological and psychosocial factors and utilization patterns of pre-conceptional services among pregnant adolescents in rural Sri Lanka. Methods: The study is based on the baseline assessment of the Rajarata Pregnancy Cohort (RaPCo) in Anuradhapura. Pregnant women newly registered from July to September 2019 were recruited to the study. The period of gestation was confirmed during the second follow-up visit (around 25–28 weeks of gestation) using ultra sound scan data. A history, clinical examination, anthropometric measurements, blood investigations were conducted. Mental health status was assessed using the Edinburgh Postpartum Depression Scale (EPDS). Results: Baseline data on gestation was completed by 3,367 pregnant women. Of them, 254 (7.5%) were adolescent pregnancies. Among the primigravida mothers (n = 1037), 22.4% (n = 233) were adolescent pregnancies. Maternal and paternal low education level, being unmarried, and less time since marriage were statistically significant factors associated with adolescent pregnancies (p < 0.05). Contraceptive usage before pregnancy, utilization of pre-conceptional health care services, planning pregnancy and consuming folic acid was significantly low among adolescents (p < 0.001). They also had low body mass index (p < 0.001) and low hemoglobin levels (p = 0.03). Adolescent mothers were less happy of being pregnant (p = 0.006) and had significantly higher levels of anxiety (p = 0.009). Conclusion: One fifth of women in their first pregnancy in this study population are adolescents. Nulli-parous adolescents exert poor social stability and compromised physical and mental health effects. The underutilization and/or unavailability of SRH services is clearly associated with adolescent pregnancies.

Background: Ending preventable maternal deaths remains a challenge in low- and middle-income countries (LMICs). Society perceived causes and real-life observations can reveal the intangible causes of maternal deaths irrespective of formal maternal death investigations. This study reports complex patterns in which social determinants act towards paving the path to maternal deaths in a rural Sri Lankan setting. Methods: We conducted social autopsies for 15/18 maternal deaths (in two consecutive years during the past decade) in district A (pseudonymized). In-depth interviews of 43 respondents and observations were recorded in the same field sites. During thematic analysis, identified themes were further classified according to the World Health Organization framework for social determinants of health (SDH). The patterns between themes and clustering of social determinants based on the type of maternal deaths were analyzed using mixed methods. Results: Discernable social causes underpinned 12 out of 15 maternal deaths. Extreme poverty, low educational level, gender inequity, and elementary or below-level occupations of the husband were the characteristic structural determinants of most deceased families. Social isolation was the commonest leading cause manifesting as a reason for many other social factors and resulted in poor social support paving the path to most maternal deaths. A core set of poverty, social isolation, and poor social support acted together with alcohol usage, and violence leading to suicides. These core determinants mediating through neglected self-health care led to delay in health-seeking. Deficits in quality of care and neglect were noted at health institutions and the field. Conclusion: Social autopsies of maternal deaths revealed complex social issues and social determinants of health leading to maternal deaths in Sri Lanka, indicating the need for a socially sensitive health system.

Introduction: Global evidence suggests that high out-of-pocket (OOP) expenditure negatively affects health service utilization and creates an economic burden on households during pregnancy. This study aimed to estimate the magnitude and associated factors of OOP expenditure for antenatal care (ANC) in a rural Sri Lankan setting by following up with a large pregnancy cohort (The Rajarata Pregnancy Cohort [RaPCo]) in Anuradhapura District, Sri Lanka. Methods: Data were collected from July 2019 to May 2020. An interviewer-administered questionnaire was used to collect socioeconomic data and OOP expenditures in the first trimester. Self-administered questionnaires were used monthly to collect OOP expenditures in the second and third trimesters. In-depth financial information of 1,558 pregnant women was analyzed using descriptive statistics, nonparametric statistics, and a multiple linear regression model. Results: The majority of participants used both government and private health facilities for ANC. The mean (standard deviation [SD]) OOP expenditure per ANC visit was US$4.18 (US$4.19), and the mean (SD) OOP expenditure for total ANC was US$57.74 (US$80.96). Pregnant women who used only free government health services also spent 28% and 14% of OOP expenditure on medicines and laboratory investigations. Household income (P<.001), household expenditure (P<.1), used health care mode (P<.05), maternal morbidities (P<.05), and the number of previous pregnancies (P<.1) were the statistically significant independent predictors of OOP expenditure. OOP expenditure per visit for ANC equals half of the daily household expenditure. Conclusion: Despite having freely available government health facilities, most pregnant women tend to use both government and private health facilities and incur higher OOP expenditure. Free government health care users also incur a direct medical OOP expenditure for medicines and laboratory investigations. Monthly household income, expenditure, used health care mode, maternal morbidities, and the number of previous pregnancies are independent predictors of OOP expenditure. Key Findings Global evidence suggests that high out-of-pocket (OOP) expenditure negatively affects health care utilization even with free health services in many low- and middle-income countries. Despite having access to free maternal health services provided by the government of Sri Lanka, most pregnant women tend to use both government and private health facilities and incur higher OOP expenditures. Because Sri Lanka provides free maternal health care services, the direct medical OOP expenditure for medicines and laboratory investigations should be at a minimum level. However, the direct medical OOP was approximately half of the OOP expenditure share for pregnant women who used only government health care services. Key Implications Use of free, government-provided maternal health care services should be encouraged to minimize the economic burden of maternal OOP expenditure, especially for low-income groups. Policies should be developed that ensure the adequate availability of medicines and essential services in government health care facilities. Future research should focus on the economic impact of high OOP expenditure on the households of pregnant women.

Renal functions in pregnancy undergo rapid changes, and the thresholds for normal values are a major research gap and are still debatable. The lack of prospective population-based studies with early pregnancy recruitment hampered the decision-making process on the best thresholds to be used in clinical practice. We present the serum creatinine (sCr) and sCr-based estimated glomerular filtration rates (eGFR) in early pregnancy with changes over the gestational period in a large prospective, community-based cohort, the Rajarata Pregnancy Cohort (RaPCo). We carried out a community-based prospective cohort study with 2,259 healthy pregnant women with a gestation period of less than 13 weeks and without pre-existing medical conditions. Gestational period-specific sCr and sCr-based eGFR were calculated for different age strata, and the participants were followed up until the second trimester. Renal functions of pregnant women were compared with 2.012 nonpregnant women from the same geographical area. The mean (SD) sCr of the 2,012 nonpregnant women was 62.8(12.4) μmol/L, with the 97.5th percentile of 89.0 μmol/L. Among the pregnant women, mean (SD) sCr was 55.1(8.3), 52.7(8.1), 51.1(9.1), 47.1(7.2), and 49.3 (9.9), while the 97.5th percentile for sCr was 72.4, 69.1, 70.0, 63.6, and 66.0 μmol/L respectively during the 4–7, 8–9, 10–12, 24–27 and 28–30 weeks of gestation. The average sCr value was 84.7% and 76.4% of the nonpregnant group, respectively, in the first and second trimesters. The mean eGFR was 123.4 (10.7) mL/min/1.73 m²in the first trimester and increased up to 129.5 mL/min/1.73 m²in the 24th week of gestation. The analysis of cohort data confirmed a significant reduction in sCr with advancing pregnancy (p<0 .001). This study provides thresholds for renal functions in pregnancy to be used in clinical practice. Clinical validation of the proposed thresholds needs to be evaluated with pregnancy and newborn outcomes.

Objectives This study aims to describe how household economies and health service utilisation of pregnant and postpartum women were affected during the pandemic. Design A cross-sectional study. Setting This study was conducted in the Anuradhapura district, Sri Lanka. Participants The study participants were 1460 pregnant and postpartum women recruited for the Rajarata Pregnancy Cohort during the initial stage of the COVID-19 pandemic. Primary and secondary outcome measures Household economic (income, poverty, nutritional and health expenditures) and health service utilisation details during the COVID-19 pandemic were gathered through telephone interviews. Sociodemographic and economic data were obtained from the cohort baseline and analysed with descriptive and non-parametric analysis. Results Out of the 1460 women in the sample, 55.3% (n=807) were pregnant and 44.7% (n=653) were postpartum women. Of the total sample, 1172 (80.3%) women participated in the economic component. The monthly household income (median (IQR)=212.39 (159.29–265.49)) reduced (median (IQR)=159.29 (106.20–212.39)) in 50.5% (n=592) families during the pandemic (Z=−8.555, p<0.001). Only 10.3% (n=61) of affected families had received financial assistance from the government, which was only 46.4% of the affected income. The nutritional expenditure of pregnant women was reduced (Z=−2.023, p=0.043) by 6.7%. During the pandemic, 103 (8.8%) families with pregnant or postpartum women were pushed into poverty, and families who were pushed into poverty did not receive any financial assistance. The majority of women (n=1096, 83.3%) were satisfied with the free public health services provided by the public health midwife during the pandemic. Conclusion During the early stages of the pandemic, healthcare utilisation of pregnant women was minimally affected. Even before the country’s current economic crisis, the household economies of pregnant women in rural Sri Lanka were severely affected, pushing families into poverty due to the pandemic. The impact of COVID-19 and the aftermath on pregnant women will have many consequences if the policies and strategies are not revised to address this issue.