scholarly journals Methodological Considerations for Preterm Birth Research

2022 ◽  
Vol 2 ◽  
Author(s):  
Thokozile R. Malaba ◽  
Marie-Louise Newell ◽  
Landon Myer ◽  
Vundli Ramokolo

Complications from preterm birth are a leading cause of infant mortality, with long-term implications for morbidity and quality of life of preterm infants. There are many important risk factors for preterm births however in this article, we focus on the maternal infection etiological pathway, given its significance in low-to-middle income countries. In high preterm birth settings such as sub-Saharan Africa, maternal HIV infection and antiretroviral therapy (ART) use have been associated with an increased risk of preterm births. Consequently, we highlight methodological considerations related to selection and measurement bias in preterm birth research. We further illustrate the potential impact of these biases in studies investigating the relationship between HIV/ART and preterm births. We also briefly discuss issues related to population-level estimations based on routinely collected clinical or civil registration data. We conclude by emphasizing the importance of strengthening of antenatal care services to improve quality of population data as well as optimizing current and future study designs, by taking into account the important methodological considerations described in this article.

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Babak Khavari ◽  
Alexandros Korkovelos ◽  
Andreas Sahlberg ◽  
Mark Howells ◽  
Francesco Fuso Nerini

AbstractHuman settlements are usually nucleated around manmade central points or distinctive natural features, forming clusters that vary in shape and size. However, population distribution in geo-sciences is often represented in the form of pixelated rasters. Rasters indicate population density at predefined spatial resolutions, but are unable to capture the actual shape or size of settlements. Here we suggest a methodology that translates high-resolution raster population data into vector-based population clusters. We use open-source data and develop an open-access algorithm tailored for low and middle-income countries with data scarcity issues. Each cluster includes unique characteristics indicating population, electrification rate and urban-rural categorization. Results are validated against national electrification rates provided by the World Bank and data from selected Demographic and Health Surveys (DHS). We find that our modeled national electrification rates are consistent with the rates reported by the World Bank, while the modeled urban/rural classification has 88% accuracy. By delineating settlements, this dataset can complement existing raster population data in studies such as energy planning, urban planning and disease response.


2019 ◽  
Vol 5 (2) ◽  
pp. 1499-1528
Author(s):  
Erwin Antoni ◽  
Silviana .

Population administration is a series of activities in structuring and controlling population documents and data through population registration, civil registration, management of population administration information and utilization of its results for public services and development of other sectors. In the 2015-2019 RPJMN it is mentioned that Population and Family Planning (KKB) Development is directed at one of them: Improving the quality of population data and information as the basis for developing development policies and programs and implementing basic population services. One of the authorities of the Regency / City Government is to carry out community service activities in the area of ??Population Administration. The local government plays an important role in improving the quality of data and information on the population. This paper discusses the administration of population administration in regency/city governments and other relevant agencies. The discussion covers the background of topic selection, general description, regulation, business process on the object of research and risk analysis of the business process. Next, the objectives and types of research are discussed, the period of time, the number and competence of researchers, the methodology and procedures of the research to be conducted. The selection of key areas uses the RIS analysis method (Risk Management, Research Impacts, Significance). The results of this study are expected to provide appropriate and actionable recommendations in order to improve the quality of population data and information.


2019 ◽  
Vol 49 (5) ◽  
pp. 400-409 ◽  
Author(s):  
Alyssa Fitzpatrick ◽  
Kamalesh Venugopal ◽  
Wendy Scheil ◽  
Stephen P. McDonald ◽  
Shilpanjali Jesudason

Background and Objectives: Kidney disorders in pregnancy may be under-recognized and have variable impact on outcomes depending on diagnosis. Population-level data are limited, particularly for Australia, and comparison of impact of different kidney disorders on pregnancy has rarely been assessed. This study examined the prevalence and outcomes of varied kidney disorders using population-level perinatal data from a large cohort. Methods: Women with singleton pregnancies > 20 weeks’ gestation from the South Australian Pregnancy Outcomes Unit (1990–2012). Women with a kidney disorders diagnostic code were grouped into categories (immunological, cystic/genetic, urological, vesicoureteral reflux (VUR), pyelonephritis and “other”). Key pregnancy outcomes were assessed, with adjustment for demographic variables. Results: Kidney disorders were reported in 1,392 (0.3%) of 407,580 births. These pregnancies had increased risk of pregnancy-induced hypertension (OR 2.16, 95% CI 1.82–2.56), induction of labor (RRR vs. spontaneous birth 2.10, 95% CI 1.87–2.36), all Caesarean section (OR 1.31, 95% CI 1.17–1.47) as well as Caesarean section without labor (RRR 1.82, 95% CI 1.57–2.10), preterm birth (< 37 weeks; 2.76, 95% CI 2.40–3.18), low birth weight (< 2,500 g) infants (OR 2.43, 95% CI 2.07–2.84), and neonatal intensive care admission (OR 2.64, 95% CI 2.12–3.29). Diagnostic subgroups demonstrated differing patterns of adverse outcomes, enabling the development of a matrix of risk. Women with immunological renal conditions and VUR had greatest risk overall, and only women with immunological diseases had increased risk of small-for-gestational age < 10th centile (OR 2.36, 95% CI 1.26–4.42). Women with nonchronic urological conditions and pyelonephritis had increased risk of preterm birth, but not other adverse events. VUR conferred particularly increased risk of Caesarean section and induced labor. Conclusions: In a cohort of > 1,300 women with varied kidney disorders, increased adverse obstetric and perinatal events were observed, and the nature and magnitude of risk differed according to diagnosis. In particular, vesicoureteric reflux is not a benign condition in pregnancy. Women with nonchronic conditions still had increased risk of preterm birth. We confirm that women with kidney disorders warrant vigilant and tailored prepregnancy care and clinical care in pregnancy.


2017 ◽  
Vol 45 (1) ◽  
Author(s):  
Jovana Lekovich ◽  
Joshua Stewart ◽  
Sarah Anderson ◽  
Erin Niemasik ◽  
Nigel Pereira ◽  
...  

AbstractObjective:Müllerian anomalies are associated with increased risk of miscarriage, intrauterine growth restriction (IUGR) and preterm birth. While a commonly implicated cause is restricted expansion of endometrial cavity, alternatively it could be due to abnormal placentation. We sought to examine clinical and histopathologic factors associated with preterm delivery in women with Müllerian anomalies.Study design:One hundred and eleven singleton pregnancies in 85 women were analyzed retrospectively. There were 42 pregnancies with bicornaute, 24 with unicornuate, 24 with septate, 19 with didelphys and one each with arcuate and T-shaped uterus. Primary outcomes included gestational age at delivery, placental histopathology, placenta previa and accreta.Results:Twenty-eight (25.2%) of pregnancies were delivered prior to term. Of those, only 14 (50%) were due to preterm labor or preterm premature rupture of membranes (PPROM). Histological evidence of placental malperfusion was present in 22% of all pregnancies and those delivered at an earlier median gestational age [34 (IQR 31–37) vs. 37 weeks (IQR 34–39); P=0.001]. Malperfusion was more common in preterm than in full term births (46% vs. 14%; P=0.04). Conversely, inflammation was not more common in preterm compared to term deliveries (17.9% vs. 16.9%; P=0.89). Five pregnancies had placenta previa, three of which were complicated by accreta.Conclusion:Placental malperfusion, rather than inflammation, was more commonly associated with preterm births in women with uterine anomalies.


2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Timothy O. Ihongbe ◽  
Saba W. Masho

Background. Postpartum depression and preterm birth (PTB) are major problems affecting women’s health. PTB has been associated with increased risk of postpartum depressive symptoms (PDS). However, it is unclear if PTB in women with a prior history of PTB is associated with an incremental risk of PDS. This study aims to determine if PTB in women with a prior history of PTB is associated with an incremental risk of PDS. Methods. Data come from the 2009–2011 national Pregnancy Risk Assessment Monitoring System. Study sample included 55,681 multiparous women with singleton live births in the index delivery. Multiple logistic regression was used to examine the association between PTB and PDS. Results. The risk of PDS was 55% higher in women with PTB in both deliveries (aRR = 1.55; 95% CI = 1.28–1.88) and 74% higher in women with PTB in the index delivery only (aRR = 1.74; 95% CI = 1.49–2.05), compared to women with term deliveries. Conclusions. Preterm birth is a risk factor for PDS. PTB in women with a prior history of PTB is not associated with an incremental risk of PDS. Routine screening for PDS should be conducted for all women and closer monitoring should be done for high risk women with PTB.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0248588
Author(s):  
Cristina Fernandez Turienzo ◽  
Sergio A. Silverio ◽  
Kirstie Coxon ◽  
Lia Brigante ◽  
Paul T. Seed ◽  
...  

Background Midwifery continuity of care models for women at low and mixed risk of complications have been shown to improve women’s experiences of care. However, there is limited research on care experiences among women at increased risk of preterm birth. We aimed to explore the experiences of care among women with risk factors for preterm birth participating in a pilot trial (POPPIE) of a midwifery continuity of care model which included a specialist obstetric clinic. Methods A total of 334 pregnant women identified at increased risk of preterm birth were randomly allocated to either midwifery continuity of care (POPPIE group) or standard maternity care. Women in both groups were followed up at six-to-eight weeks postpartum and were invited to complete a postnatal survey either online or by post. An equal status exploratory sequential mixed method design was chosen to collect and analyse the quantitative postnatal survey data and qualitative interviews data. The postnatal survey included measures of social support, trust, perceptions of safety, quality of care, control during childbirth, bonding and quality of life. Categorical data were analysed with chi-squared tests and continuous data were analysed with t-tests and/or Mann-Whitney U test to measure differences in measures scores among groups. The qualitative interview data were subjected to a thematic framework analysis. Data triangulation brought quantitative and qualitative data together at the interpretation stage. Findings A total of 166 women completed the survey and 30 women were interviewed (90 and 16 in POPPIE group; 76 and 14 in standard group). We found survey respondents in the POPPIE group, compared to respondents in the standard group, were significantly more likely to report greater trust in midwives (Mann-Whitney U, p<0.0001), greater perceptions of safety during the antenatal care (t-test, p = 0.0138), have a particular midwife to contact when they needed during their pregnancy (t-test, p<0.0001) and the postnatal period (chi-squared, p<0.0001). They reported increased involvement in decisions regarding antenatal, intrapartum and postnatal care (t-test, p = 0.002; p = 0.008; p = 0.006 respectively); and greater postnatal support and advice about: feeding the baby (chi-squared, p<0.0001), handling, settling and looking after the baby (chi-squared, p<0.0001), baby’s health and progress (chi-squared, p = 0.039), their own health and recovery (chi-squared, p = 0.006) and who to contact about any emotional changes (chi-squared, p = 0.005). There were no significant differences between groups in the reporting of perceptions of safety during birth and the postnatal period, concerns raised during labour and birth taken seriously, being left alone during childbirth at a time of worries, control during labour, bonding, social support, and physical and mental health related quality of life after birth. Results from qualitative interviews provided insight and depth into many of these findings, with women in the POPPIE group reporting more positive experiences of bonding towards their babies and more positive physical health postnatally. Conclusions Compared with standard maternity care, women at increased risk of PTB who received midwifery continuity of care were more likely to report increased perceptions of trust, safety and quality of care. Trial registration ISRCTN (Number: 37733900); UK CRN (ID: 31951).


2021 ◽  
Author(s):  
Julja Burchard ◽  
Ashoka D. Polpitiya ◽  
Angela C. Fox ◽  
Todd Randolph ◽  
Tracey C. Fleischer ◽  
...  

AbstractPreterm births are prevalent and a leading cause of neonatal death in the United States. Despite the availability of effective interventions, to date there is not a robust and widely applicable test to identify pregnancies at high risk for spontaneous preterm birth (sPTB). Previously, a sPTB predictor based on the ratio of two proteins, IBP4/SHBG, was validated as an accurate predictor of sPTB in the observational study Proteomic Assessment of Preterm Risk (PAPR). Here it is demonstrated that the same predictor threshold associated with 2-fold increased risk of sPTB, namely −1.4, is also statistically significant for predicting elevated risk of sPTB in the observational study Multicenter Assessment of a Spontaneous Preterm Birth Risk Predictor (TreeToP).


Author(s):  
Balaji Thanjavur Elumalai ◽  
Vaishnavi Govindarajan

Background: The pregnancy outcomes are influenced by the inter pregnancy intervals. Both short and long inter pregnancy intervals are known to adversely affect the mother and the baby. The main aim of birth spacing was to achieve ideal inter pregnancy intervals and thus to decrease maternal, neonatal morbidity and mortality.Methods: It is a prospective observational study. In this study, about 500 gravida 2 women who has delivered vaginally in the index pregnancy, with gestational age more than 28 weeks of gestation and with known interpregnancy interval were included in the study. They followed up to to delivery and occurance of preterm births in relation to maternal characteristics and interpregnancy interval were analysed.Results: Our study showed that Inter pregnancy intervals of 18-24 months were found to have the least number of preterm births when compared to intervals <18 months and >24 months. This association was found to be statistically significant (p value, Pearson chi square 0.0008). This relationship between inter pregnancy intervals and preterm births persisted when stratified according to maternal age, education, residence and BMI.A previous preterm birth was associated with increased risk of recurrent preterm birth (p value -0.034) and was statistically significant. The history of PROM in present pregnancy associated with preterm birth (p value -0.001) and association was statistically significant.Conclusions: From this study it was found that the 18-24 months birth to pregnancy interval is associated with the least incidence of preterm births. 


2021 ◽  
Vol 19 (2) ◽  
pp. 172-177
Author(s):  
Iv. Todorov ◽  
N. Tododrov ◽  
M. Angelova ◽  
K. Peeva

Introduction: Children born prematurely are at higher risk of mortality, morbidity, and impaired motor and cognitive development in childhood than prematurely born babies. Aim: To establish the relationship between the corresponding levels of pregnancy-related plasma protein-A (PAPP-A) and the frequency of premature birth. Materials and methods: The study is prospective. The data was collected through monitoring patients through a questionnaire and sonographic examination at 11-13 gestational weeks. The study excluded all known risk factors for preterm birth, such as previous preterm births, pregnant women with gestational diabetes, preeclampsia, hypertension, placenta previa, hydramnion, multiple pregnancies, smoking, structural and chromosomal abnormalities of the fetus and planned preterm birth. The data from the measured values of PAPP-A and the frequency of premature birth in 636 pregnant women were analyzed. Conclusions: PAPP-A levels are a statistically significant factor for preterm birth. It is expected with a 95% probability in the population with PAPP-A values below 0,515 that the cases with premature birth will be from 7 to 14 times more. Pregnant women with PAPP-A level less than 10th per cent are significantly associated with an increased risk of preterm birth.


2018 ◽  
Vol 3 ◽  
Author(s):  
S. J. Clark ◽  
J. Wakefield ◽  
T. McCormick ◽  
M. Ross

AbstractTraditionally health statistics are derived from civil and/or vital registration. Civil registration in low- to middle-income countries varies from partial coverage to essentially nothing at all. Consequently the state of the art for public health information in low- to middle-income countries is efforts to combine or triangulate data from different sources to produce a more complete picture across both time and space – data amalgamation. Data sources amenable to this approach include sample surveys, sample registration systems, health and demographic surveillance systems, administrative records, census records, health facility records and others. We propose a new statistical framework for gathering health and population data – Hyak – that leverages the benefits of sampling and longitudinal, prospective surveillance to create a cheap, accurate, sustainable monitoring platform. Hyak has three fundamental components: •Data amalgamation: A sampling and surveillance component that organizes two or more data collection systems to work together: (1) data from HDSS with frequent, intense, linked, prospective follow-up and (2) data from sample surveys conducted in large areas surrounding the Health and Demographic Surveillance System (HDSS) sites using informed sampling so as to capture as many events as possible;•Cause of death: Verbal autopsy to characterize the distribution of deaths by cause at the population level; and•Socioeconomic status (SES): Measurement of SES in order to characterize poverty and wealth.We conduct a simulation study of the informed sampling component of Hyak based on the Agincourt HDSS site in South Africa. Compared with traditional cluster sampling, Hyak's informed sampling captures more deaths, and when combined with an estimation model that includes spatial smoothing, produces estimates of both mortality counts and mortality rates that have lower variance and small bias.


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