Skip to main content

A retrospective, longitudinal cohort study of trends and risk factors for preterm birth in the Northern Territory, Australia

Abstract

Background

Preterm birth (PTB) is the single most important cause of perinatal mortality and morbidity in high income countries. In Australia, 8.6% of babies are born preterm but substantial variability exists between States and Territories. Previous reports suggest PTB rates are highest in the Northern Territory (NT), but comprehensive analysis of trends and risk factors are lacking in this region. The objective of this study was to characterise temporal trends in PTB among First Nations and non-First Nations mothers in the Top End of the NT over a 10-year period and to identify perinatal factors associated with the risk of PTB.

Methods

This was a retrospective population-based cohort study of all births in the Top End of the NT over the 10-year period from January 1st, 2008, to December 31st, 2017. We described maternal characteristics, obstetric complications, birth characteristics and annual trends in PTB. The association between the characteristics and the risk of PTB was determined using univariate and multivariate generalised linear models producing crude risk ratios (cRR) and adjusted risk ratios (aRR). Data were analysed overall, in First Nations and non-First Nations women.

Results

During the decade ending in 2017, annual rates of PTB in the Top End of the NT remained consistently close to 10% of all live births. However, First Nations women experienced more than twice the risk of PTB (16%) compared to other women (7%). Leading risk factors for PTB among First Nations women as compared to other women included premature rupture of membranes (RR 12.33; 95% CI 11.78, 12.90), multiple pregnancy (RR 7.24; 95% CI 6.68, 7.83), antepartum haemorrhage (RR 4.36; 95% CI 3.93, 4.84) and pre-existing diabetes (RR 4.18; 95% CI 3.67, 4.76).

Conclusions

First Nations women experience some of the highest PTB rates globally. Addressing specific pregnancy complications provides avenues for intervention, but the story is complex and deeper exploration is warranted. A holistic approach that also acknowledges the influence of socio-demographic influences, such as remote dwelling and disadvantage on disease burden, will be required to improve perinatal outcomes.

Peer Review reports

Background

Preterm birth (PTB), defined as birth between 20 and 37 completed weeks of pregnancy, is the single most important cause of perinatal mortality and morbidity in high income countries [1]. In Australia, data from 2020 demonstrate that 8.6% of babies were born preterm [2]. This translates to approximately 26,000 babies being born preterm annually, with the majority born between 32 and 36 completed weeks.

The highest burden of PTB occurs among socio-economically disadvantaged groups in low income countries [3]. Nationally during 2016 to 2018, the PTB rate among babies born to Australian First Nations women (13.8%) was nearly 1.7 times higher than among babies born to non-First Nations mothers (8.4%) [4]. The most important risk factors associated with PTB among First Nations women during this time period were antepartum haemorrhage, low rates of attending antenatal care, pre-existing diabetes mellitus, hypertension in pregnancy, being underweight and smoking during pregnancy [4].

There is also variability in the rate of PTB between Australian States and Territories. PTB rates are highest in the Northern Territory (NT) and have increased over time. The NT PTB rate was reported at 10.6% in 2010 and 11.4% in 2020, but recent temporal trends of PTB birth in the Top End of the NT have not been comprehensively studied [2]. The PTB rate among a cohort of First Nations infants born in the Royal Darwin Hospital from 1987 to 1990 was 7.4% [5]. Risk factors associated with an increased risk of PTB were gestational hypertension, prolonged ruptured membranes and smoking more than half a packet of cigarettes per day. Following that, Kildea et al. described risk factors for PTB in pregnant women in two large remote NT communities from 2004 through to 2011 spanning the introduction of a new model of antenatal care [6]. The new model, a culturally enhanced Midwifery Group Practice (MGP) consisting of midwives, Strong Women Workers and Aboriginal Health Workers working in a team in the regional hospital, provided continuity of midwifery and culturally sensitive care for women any time they came to the regional centre during pregnancy, the intrapartum period and the postnatal period. The PTB rate was 19.4%, with a non-significant reduction following introduction of the new model (20.6% vs 17.7%). Risk factors for PTB were teenage motherhood, previous PTB, inadequate antenatal visits, hypertension in pregnancy and antepartum haemorrhage.

Several other NT studies have also investigated specific factors and their impact on birth outcomes, including gestational age at birth. Such studies have examined the impact of sexually transmitted infections, vaccinations during pregnancy and young maternal age, none of which were significantly associated with PTB risk [7,8,9,10]. One study showed a higher rate of PTB in those with (versus without) rheumatic heart disease, whereas two studies found lower rates of PTB in those receiving enhanced models of pregnancy care [11,12,13].

Current evidence suggests high rates of PTB persist in First Nations women despite the introduction of preventative strategies that have proven successful in non-First Nations pregnancies, but the availability of enhanced antenatal care models have proven successful among First Nations women [14, 15].

The higher burden of PTB in First Nations’ women is a complex interplay between clinical risks and the cultural and socio-economic inequality which First Nations’ people face. According to the Australian Institute of Health and Welfare Aboriginal and Torres Strait Islander Health Performance Framework 2023 Summary Report, 34% of the total health gap between First Nations’ and non-First Nations’ Australians is due to the social determinants of health and only 19% is due to individual persons’ factors [16]. Racism has also been shown to negatively impact the health of those experiencing it. In a recent systematic review on the impact of racism on Australian First Nations’ people’s health, several outcomes such as increased BMI and smoking, associated with an increased risk of PTB, were shown to be associated with racism [17].

To best guide future research, prevention strategies and allocation of resources, the objective of this study was to characterise temporal PTB trends among First Nations and non-First Nations women living in the Top End of the NT from 2008 to 2017 and to identify key factors associated with the risk of PTB.

Methods

Study design and population

This was a retrospective population-based cohort study of all births in the Top End of the NT (> 20 weeks) over the 10-year period from January 1, 2008, to December 31, 2017. The NT of Australia is large (1.4 million km2) and sparsely populated (0.16 people per km2) [18]. Darwin, on the north coast is the largest city. The northernmost (subtropical) region is known as the Top End and includes Darwin urban, Darwin rural, East Arnhem and the Katherine health districts. As of June 2020, the estimated resident population of the Top End was 200,523 (approximately 82% of the total NT population). Just over a quarter (26%) of residents are First Nations’ Australians. The majority (66%) of First Nations residents live outside Darwin urban area [19]. Three public hospitals within the region provide maternity care. A single private hospital located in Darwin operates independently.

Data source

Data were sourced from a single dataset, the NT perinatal data set or ‘NT Midwives’ Collection’, custodied by the Child and Youth Development Research Partnership. The NT perinatal dataset contains demographic and clinical information documented by the attending midwife or clinician for all NT pregnancies, including births in public and private hospitals, planned home births, births in unattended locations such as community health centres and other non-hospital births. All births of at least 20 weeks gestation or with a birth weight of at least 400 g are included. Gestational age at birth was calculated from the mother’s recorded Estimated Date of Confinement (EDC). This is based on either the mother’s last normal menstrual period or the earliest foetal biometry at ultrasound.

First Nations status of mothers was recorded by the midwives at birth. Perinatal data collection was validated against a Client Master Index as well as public hospital data and the First Nations’ status of mothers is considered highly reliable. In the Northern Territory, First Nations’ status in health records has been estimated to have 98% consistency between electronic patient records and self-report during interview [20]. This is exceptional when compared to other Australian data.

Measures of advantage and disadvantage were assessed using the Statistics Socio-Economic Indexes for Areas (SEIFA) metric. SEIFA divides areas into deciles based on people’s access to material and social resources determined through national census data on income, education, employment, occupation, housing and family structure. In this study we compared decile 1 (the most disadvantaged) with the remaining deciles combined.

Analysis

Our unit of analyses was pregnancy. PTB was defined as any birth occurring less than 37 weeks gestational age (GA) with sub classifications 33–36 + 6 weeks, 28–32 + 6 weeks and 20–27 + 6 weeks, in line with previously published Australian data describing PTB trends [21]. The prevalence of maternal characteristics, obstetric complications, birth characteristics and PTB were described overall and among First Nations’ and non-First Nations’ women with between group differences, using univariate risk ratios (RR) and 95% confidence intervals (95%CI). Population specific differences in PTB were evaluated using univariate and multivariate analyses producing crude RR (cRR) and adjusted RR (aRR). A generalised linear model (log-binomial regression with robust error clustering on women’s identifier) was used for the multivariate analysis with covariables selected based on both clinical logic and univariate regression outcomes (predictors with 95% CIs that excluded 1). Effects of perinatal and other characteristics on PTB risk were also evaluated separately within each population group to highlight any differential effects. Annual PTB prevalences were plotted graphically with trends assessed using log-binomial regression. Annual gestational ages were presented graphically with trends assessed using both a nonparametric (K-sample) equality of medians test. All multivariate models were adjusted for secular trends. There was no imputation for missing data. All analyses were conducted using Stata software version 17.

Results

In the Top End during the study period 22,205 women had 30,693 pregnancies (Fig. 1). Thirty-one births were excluded because they occurred prior to 20 weeks gestation or key data were missing. The final cohort comprised 30,662 pregnancies; 9,153 (29.9%) were First Nations women and 9,466 (30.9% were first time women (Table 1).

Fig. 1
figure 1

Population based preterm birth cohort

Table 1 Perinatal characteristics in the Top End of the Northern Territory (2008–2017): first nations and non first nations

Women attended antenatal care during the first trimester in 23,156 (76.4%) pregnancies. Pre-existing maternal medical risk factors each occurred in less than 4% of women. Gestational diabetes was diagnosed in 3,290 (10.7%) pregnancies. Complications including pre-eclampsia, antepartum haemorrhage, intrauterine growth restriction, urinary tract infection and premature rupture of membranes each occurred in less than 4% of all pregnancies. Multiple pregnancies accounted for 1.4% of the cohort. Most births (73.2%) happened in public hospitals. Twenty-six per cent of pregnancies had birth induced and 67.9% of women had a vaginal birth. The caesarean section rate was 32.1%, including both 4,763 elective (15.5%) and 5,082 emergency (16.6%) caesareans (Table 1).

First Nations women were more likely to live remotely (cRR 4.85; 95% CI 4.69, 5.02), be socially disadvantaged (RR 11.48; 95% CI 10.80, 12.19), smoke during pregnancy (cRR 5.40; 95% CI 5.16, 5.65) and have pre-existing maternal medical risk factors including renal disease (cRR 9.88; 95% CI 7.34, 13.33), diabetes (cRR 6.93; 95% CI 5.51, 8.71), anaemia (cRR 6.09; 95% CI 5.38, 6.89) and hypertension (cRR 2.39; 95% CI 1.85, 3.10). First Nations women had a substantially higher burden of cardiac disease (cRR 12.25; 95% CI 10.03, 14.96).

In pregnancy, First Nations’ women were more likely to experience premature pre-labour rupture of membranes (PPROM; cRR 2.48; 95% CI 2.17, 2.83) and intrauterine growth restriction (cRR 3.05; 95% CI 2.67, 3.48). First Nations’ women were 4 times (cRR 4.25; 95% CI 3.86, 4.69) more likely to develop anaemia and 8 times (cRR 8.43; 95% CI 7.14, 9.95) more likely to develop urinary tract infections during pregnancy. Gestational diabetes, pre-eclampsia and antepartum haemorrhage were more similar in prevalence among First Nations’ and non-First Nations’ pregnancies (Table 1).

The overall prevalence of PTB was 9.7% (Table 2) with little temporal variation (Supplementary Table 2) despite a significant shift in median GA at birth (from 40 to 39 weeks) by calendar year (p < 0.001; Fig. 2). Compared to other women, First Nations’ women had a higher risk of PTB overall (16.5% versus 6.8%; aRR 1.52; 95% CI 1.36, 1.70) and across all preterm gestational age categories (Table 2, Fig. 3). Further, there was a positive trend in PTB’s among First Nations’ women by calendar year (RR 1.02; 95% CI 1.01, 1.04, Fig. 3, Supplementary Table 2), that was predominately driven by the increase in births in the 33-to-36+6-week gestational age group.

Table 2 Risk of preterm birth in the Top End of the Northern Territory (2008–2017): first nations and non first nations
Fig. 2
figure 2

Frequency distribution of gestational age at birth (%) by calendar year: all Top End (Northern Territory) births

Fig. 3
figure 3

Annual preterm birth prevalence in the Top End of the Northern Territory (2008–2017): first nations and non first nations

When assessed independently, smoking during pregnancy was associated with an increased risk of PTB (cRR 1.90; 95% CI 1.77, 2.05). However, when adjusted for other factors, the association was lower (aRR 1.24; 95% CI 1.13, 1.37). The same was true for socio-economic disadvantage. Higher rates of PTB were seen in those classified as most disadvantaged (Index of Relative Socio-economic Advantage and Disadvantage decile 1) (cRR 1.98; CI 95% 1.84, 2.12 Supplementary Table 1).

Though many factors were more prevalent among First Nations’ women, when present, their magnitude of association with PTB was similar for both First Nations’ and non-First Nations’ pregnancies (Supplementary Table 1). The largest associations among First Nations’ and non-First Nations’ pregnancies were for PPROM (aRR 8.98; 95% CI 8.12, 9.94; aRR 20.61; 95% CI 18.46, 23.08), multiple pregnancy (aRR 5.50; 95% CI 4.42, 6.83; aRR 9.44; 95% CI 7.64, 11.66), preeclampsia (aRR 3.56; 95% CI 2.93, 4.33; aRR 6.28; 95% CI 5.23, 7.55), antepartum haemorrhage (aRR 3.19; 95% CI 2.45, 4.17; aRR 6.06; 95% CI 4.94, 7.44), pre-existing diabetes (aRR 2.69; 95% CI 2.11, 3.43; aRR 4.67; 95% CI 3.05, 7.14) and intrauterine growth restriction (aRR 2.25; 95% CI 1.90, 2.67; aRR 3.36; 95% CI 2.61, 4.33) (Supplementary Table 1).

In our study, PPROM occurred in 4.7% of First Nations’ pregnancies and 93% of women who had the condition gave birth preterm. Conversely, 1.9% of non-First Nations pregnancies were complicated by PPROM and 89% gave birth preterm (Supplementary Table 1).

Discussion

During the decade ending in 2017, the annual prevalence of PTB in the Top End of the NT remained consistently close to 10% of total live births which is considerably higher than reported nationally (8.6%) [2]. Of concern, First Nations’ women had around twice the risk of PTB compared to other women and the gap appeared to be widening. The PTB prevalence reached 18% in First Nations’ women in 2016–2017 compared with 6–8% in non-First Nations’ women.

Globally PTB is a critical concern, representing the leading cause of both neonatal and childhood mortality [22]. The World Health Organisation estimated the global average rate of PTB in 2010 to be 11.1%. Across countries, PTB rates ranged from 5 to 18%, with the highest rates seen in Africa and southern Asia [23]. Our study highlights that the unique geographical, physical, and social environment of the Top End gives way to PTB rates in our First Nations’ population that are amongst the highest in the world.

It is important to note that the risk factors for PTB are the same for First Nations and non-First Nations pregnancies, but the rate at which the risk factors occur in First Nations pregnancies is often much higher. Smoking represents an important modifiable contributing factor with rates in our study much higher in First Nations women compared with non-First nations women (56% vs 10%, Table 1). There has been a small improvement in addressing smoking cessation during pregnancy in First Nations women across Australia, with latest data reporting a decrease from 48% in 2011 to 43% in 2020 [4]. More must be done to promote smoking cessation in First Nations women of the Top End.

Premature rupture of membranes is common, particularly in Top End First Nations women and strongly associated with PTB. The pathophysiology for PPROM remains largely unexplained. While a wide array of mechanisms cause PPROM, it is commonly associated with infection [24]. Ascending infection from the lower genital tract to the amniotic fluid is considered the most frequent route of infection [25]. A comprehensive understanding of the vaginal microbiome as well as genetic factors that dictate an inflammatory response is required to understand why some women develop infection leading to PPROM, but most do not. Currently little is known about the vaginal microbial composition in First Nations women. Further research is underway and will hope to add vital and so far unknown information to better understand this condition in First Nations women of the Top End [26].

Since 1987 there have been two studies assessing the risk factors for PTB in the Top End [5, 6]. Both studies as well as our study have identified hypertensive disorders in pregnancy as a significant risk factor for PTB. Prediction and prevention of pregnancy hypertension have been explored in recent years. Prediction tools have included uterine artery Doppler studies and measurement of angiogenic factors [27]. These tools are yet to be trialled and adopted in our population. Prevention strategies have included prescription of calcium and aspirin, but the effectiveness of these have not been tested in this population [28]. While no treatment to date can reliably prevent pregnancy hypertension in all women, this remains an area for further development in this population [29].

Enhanced screening, diagnosis and treatment of pre-existing medical disorders could have an important role in reducing PTB rates. Our study demonstrated a strong association between pre-existing diabetes and PTB and epidemiological studies have shown a 10-fold increase in pre-existing diabetes among pregnant First Nations women over the last 30 years [30]. Combined, these suggest that enhanced diabetes prevention and management strategies could reduce preterm births to some extent.

Several perinatal factors did not appear to be associated with PTB. For example, gestational diabetes mellitus had little impact on PTB rates for both First Nations women and non-First Nations women. Urinary tract infection, pre-existing anaemia and gestational anaemia did not appear to be associated with PTB.

Many social determinants of health influence rates of PTB. In our study, remote dwelling was associated with an increased PTB risk, but the underlying factors are unclear. Many important social determinants were not captured in our data such as educational attainment, employment, and access to adequate housing. Similarly, we did not have data on intimate partner violence (IPV). A meta-analysis indicated that women who experience IPV during pregnancy are at increased risk of having adverse birth outcomes, including PTB [31], and hospitalisation rates due to assault were increased in Australian First Nations women [16]. This is another, largely ill-addressed matter affecting First Nations women of the Top End. Very little evidence exists about the prevalence of IPV in this population and its impact on pregnancy outcomes. There is an opportunity to better address this issue. Training to support health care workers to identify and aid in managing IPV is essential, as are resources to support victims. Both should be explored.

Iatrogenic PTB occurred more frequently in First Nations pregnancies. We note that induction of labour did not independently increase PTB and that the higher induction rates in First Nations women were reflective of the higher rates of risk factors contributing to PTB. However, our data did not include the indications for induction. A more detailed analysis of induction could potentially identify avenues for reducing medically indicated preterm birth.

A challenge for this type of study is access to up-to-date data from the NT. Data were sourced from the NT Midwives’ perinatal data set that underwent a rigorous process of data cleansing prior to publication. This process can delay access to contemporaneous data. Further, we have not captured data on lifestyle and other important sociodemographic factors that may contribute to PTB, nor have we assessed PTB rates and contributing perinatal risk factors in other vulnerable populations such as migrant and refugee women.

The aetiology of PTB is most likely multifaceted rather than due to a single independent factor. While it may be possible to address single medical and obstetric conditions, treating these factors separately is unlikely to reach a significant reduction in overall PTB rates. A holistic approach, addressing key socio-demographic factors is key.

There was a slight reduction in PTB demonstrated in First Nations women in 2009–2010. This coincided with a redesign of maternity care in mid-2009. The new clinical care focused on remote-dwelling First Nations women of all risk profiles. The objective was to increase continuity of care and co-ordination of care through a midwifery group practice. This supports previous evidence that has shown significantly improved maternal and infant outcomes with redesign of care where First Nations leadership and holistic, culturally safe care was central [15].

Racism, whether occurring through passive inaction or deliberate action, has major adverse effects on the health of First Nations Australians and substantially hinders access to effective health care in mainstream health care [32]. Hence, it is crucial that health care for First Nations people is comprised of First Nations leadership and workforce, addressing socio-economic inequalities, free of racism.

Strengths and limitations

The major strength of this study is the size of the study population, with 10 years of data and inclusion of over 99% of pregnancies. The large sample size and duration of the study allowed us to gain meaningful insight in the temporal trends in PTB both over time and across multiple gestational age sub-categories. The large cohort allowed us to demonstrate statistically significant associated factors for PTB. Additionally, the large proportion of First Nations women allowed valuable insights and meaningful comparisons between First Nations and non-First Nations women. We used the most reliable data source.

Using a retrospective population-based cohort study design based on administrative data is appropriate, but limits comparisons with control groups and unrecognised confounders may influence the results. Important pre-existing maternal factors that could contribute to PTB such as a previous history of PTB was not recorded in the dataset and therefore their contribution could not be analysed. Although we assessed major contributing factors, we could not demonstrate the impact of each of these over time. Likewise, we could not demonstrate the interactions between factors and the impact on PTB, for example in women with pre-existing diabetes who also developed hypertensive disorders during pregnancy. We were unable to investigate the indications for induced preterm birth as this was not recorded. We did not compare PTB rates between public and private hospital settings, acknowledging that very few First Nations women gave birth in the private hospital in this population.

Conclusions

This comprehensive longitudinal cohort study clearly demonstrates the trends and high burden of PTB in the Top End of the NT. Alarmingly, First Nations women experienced some of the highest PTB rates globally. While PTB risk factors were the same for both First Nations and non-First Nations pregnancies, they were much more common in First Nations women. Smoke exposure, socioeconomic factors, chronic diseases and pregnancy complications are avenues for intervention, but the story is complex and deeper exploration is warranted. Further prospective cohort studies are necessary to provide clearer understanding of PTB risk and to evaluate previously unexplored issues such as intimate partner violence and indications for iatrogenic PTB.

A call for action has previously been declared by Hickey et al., arguing for the urgent need for adequately funded Indigenous-led solutions to perinatal health inequities for Indigenous families in well-resourced settler-colonial countries and we, clinicians and researchers from the Top End of the NT, support this call [33].

Availability of data and materials

The authors do not have permission to share patient-level data extracted from the NT Midwives perinatal data set or ‘NT Midwives’ Collection’. Data can only be made available to researchers who apply to the Human Research Ethic Committee of the Northern Territory Department of Health and Menzies School of Health Research (Ethics - Menzies) and the Child and Youth Development Research Partnership repository (Child and Youth Development Research Partnership CYDRP 2017-2024 - Menzies).

Abbreviations

PTB:

Preterm birth

NT:

Northern Territory

MGP:

Midwifery group practice

GA:

Gestational age

PPROM:

Premature prelabour rupture of membranes

IPV:

Intimate partner violence

References

  1. Chang HH, Larson J, Blencowe H, Spong CY, Howson CP, Cairns-Smith S, et al. Preventing preterm births: analysis of trends and potential reductions with interventions in 39 countries with very high human development index. Lancet. 2013;381(9862):223–34.

    Article  PubMed  Google Scholar 

  2. AIHW. Australia’s mothers and babies. In: AIHW, editor. Web report. 2022.

    Google Scholar 

  3. Blencowe H, Cousens S, Chou D, et al. Born too soon: the global epidemiology of 15 million preterm births. Reprod Health. 2013;10(Suppl 1):S2.

    Article  PubMed  PubMed Central  Google Scholar 

  4. AIHW. Pregnancy and birth outcomes for Aboriginal and Torres Strait Islander women 2016–2018. Canberra: Australian Institute of Health and Welfare; 2021.

    Google Scholar 

  5. Sayers S, Powers J. Risk factors for aboriginal low birthweight, intrauterine growth retardation and preterm birth in the Darwin Health Region. Aust N Z J Public Health. 1997;21(5):524–30.

    Article  CAS  PubMed  Google Scholar 

  6. Kildea SV, Gao Y, Rolfe M, Boyle J, Tracy S, Barclay LM. Risk factors for preterm, low birthweight and small for gestational age births among Aboriginal women from remote communities in Northern Australia. Women Birth. 2017;30(5):398–405.

    Article  PubMed  Google Scholar 

  7. Burton AE, Thomas S. Sexually transmitted infections and preterm birth among Indigenous women of the Northern Territory, Australia: a case-control study. Aust N Z J Obstet Gynaecol. 2019;59(1):147–53.

    Article  PubMed  Google Scholar 

  8. McHugh L, Andrews RM, Lambert SB, et al. Birth outcomes for Australian mother-infant pairs who received an influenza vaccine during pregnancy, 2012–2014: the FluMum study. Vaccine. 2017;35(10):1403–9.

    Article  PubMed  Google Scholar 

  9. McHugh L, Binks M, Ware RS, et al. Birth outcomes in Aboriginal mother-infant pairs from the Northern Territory, Australia, who received 23-valent polysaccharide pneumococcal vaccination during pregnancy, 2006–2011: the PneuMum randomised controlled trial. Aust N Z J Obstet Gynaecol. 2020;60(1):82–7.

    Article  PubMed  Google Scholar 

  10. Steenkamp M, Boyle J, Kildea S, Moore V, Davies M, Rumbold A. Perinatal outcomes among young Indigenous Australian mothers: a cross-sectional study and comparison with adult Indigenous mothers. Birth. 2017;44(3):262–71.

    Article  PubMed  Google Scholar 

  11. Lam CKM, Thorn J, Lyon X, Waugh E, Piper B, Wing-Lun E. Rheumatic heart disease in pregnancy: maternal and neonatal outcomes in the Top End of Australia. Aust N Z J Obstet Gynaecol. 2022;63(1):74–80.

    Article  PubMed  Google Scholar 

  12. Lack BM, Smith RM, Arundell MJ, Homer CS. Narrowing the Gap? Describing women’s outcomes in midwifery group practice in remote Australia. Women Birth. 2016;29(5):465–70.

    Article  PubMed  Google Scholar 

  13. Kildea S, Gao Y, Rolfe M, et al. Remote links: redesigning maternity care for Aboriginal women from remote communities in Northern Australia - a comparative cohort study. Midwifery. 2016;34:47–57.

    Article  PubMed  Google Scholar 

  14. Berman YE, Newnham JP, White SW, Brown K, Doherty DA. The Western Australian preterm birth prevention initiative: a whole of state singleton pregnancy cohort study showing the need to embrace alternative models of care for Aboriginal women. BMC Pregnancy Childbirth. 2023;23(1):7.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kildea S, Gao Y, Hickey S, et al. Effect of a birthing on country service redesign on maternal and neonatal health outcomes for First Nations Australians: a prospective, non-randomised, interventional trial. Lancet Glob Health. 2021;9(5):e651–9.

    Article  CAS  PubMed  Google Scholar 

  16. AIHW. Aboriginal and Torres Strait Islander health performance framework: summary report 2023. In: Welfare AIoHa, editor. Canberra: Australian Institute of Health and Welfare; 2023.

  17. Kairuz CA, Casanelia LM, Bennett-Brook K, Coombes J, Yadav UN. Impact of racism and discrimination on physical and mental health among Aboriginal and Torres Strait islander peoples living in Australia: a systematic scoping review. BMC Public Health. 2021;21(1):1302.

    Article  PubMed  PubMed Central  Google Scholar 

  18. ABS. National, state and territory population. Australian Capital Territory: Australian Bureau of Statistics Website; 2022.

  19. Northern Territory Government. NT Health Annual Report 2021-22. Darwin: Department of Health; 2022.

  20. Foley M, Zhao Y, Condon J. Demographic data quality assessment for Northern Territory public hospitals 2011. In: Health Do, editor. Darwin: Department of Health; 2012.

  21. Newnham JP, White SW, Meharry S, et al. Reducing preterm birth by a statewide multifaceted program: an implementation study. Am J Obstet Gynecol. 2017;216(5):434–42.

    Article  PubMed  Google Scholar 

  22. Harrison MS, Goldenberg RL. Global burden of prematurity. Semin Fetal Neonatal Med. 2016;21(2):74–9.

    Article  PubMed  Google Scholar 

  23. WHO. Preterm birth: World Health Organization; 2022 [10 May 2023]. Available from: https://www.who.int/en/news-room/fact-sheets/detail/preterm-birth.

  24. Dayal S, Hong PL. Premature rupture of membranes. Treasure Island: StatPearls; 2022.

    Google Scholar 

  25. Romero R, Dey SK, Fisher SJ. Preterm labor: one syndrome, many causes. Science. 2014;345(6198):760–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Brown K, Unger HW, Peel M, et al. A project to validate the GLU test for preterm birth prediction in First Nations women. Microbiol Aust. 2022;43:130–4.

    Article  Google Scholar 

  27. Rolnik DL, Selvaratnam RJ, Wertaschnigg D, et al. Routine first trimester combined screening for preterm preeclampsia in Australia: a multicenter clinical implementation cohort study. Int J Gynaecol Obstet. 2022;158(3):634–42.

    Article  PubMed  Google Scholar 

  28. Rolnik DL, Wright D, Poon LC, et al. Aspirin versus placebo in pregnancies at high risk for preterm preeclampsia. N Engl J Med. 2017;377(7):613–22.

    Article  CAS  PubMed  Google Scholar 

  29. Tranquilli AL, Dekker G, Magee L, et al. The classification, diagnosis and management of the hypertensive disorders of pregnancy: a revised statement from the ISSHP. Pregnancy Hypertens. 2014;4(2):97–104.

    Article  CAS  PubMed  Google Scholar 

  30. Hare MJL, Barzi F, Boyle JA, et al. Diabetes during pregnancy and birthweight trends among Aboriginal and non-Aboriginal people in the Northern Territory of Australia over 30 years. Lancet Reg Health West Pac. 2020;1:100005.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Donovan BM, Spracklen CN, Schweizer ML, Ryckman KK, Saftlas AF. Intimate partner violence during pregnancy and the risk for adverse infant outcomes: a systematic review and meta-analysis. BJOG. 2016;123(8):1289–99.

    Article  CAS  PubMed  Google Scholar 

  32. Awofeso N. Racism: a major impediment to optimal Indigenous health and health care in Australia. Austr Indigenous Health Bull. 2011;11(3):1–13.

    Google Scholar 

  33. Hickey S, Roe Y, Ireland S, et al. A call for action that cannot go to voicemail: Research activism to urgently improve Indigenous perinatal health and wellbeing. Women Birth. 2021;34(4):303–5.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors wish to thank the Child and Youth Development Research Partnership Steering Committee and the Northern Territory Government for access to the repository containing the NT perinatal data set.

Funding

This study has not received any financial support. The Child and Youth Development Research Partnership data repository is supported by a grant from the NT Government. The funders of the repository had no role in the study design, data preparation, analysis, decision to publish or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

KB conceived of the project, designed the work, interpreted the data and drafted the manuscript. CC conceived the project and revised the manuscript. MB designed the work, analysed and interpreted the data, edited, and revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kiarna Brown.

Ethics declarations

Ethics approval and consent to participate

The project was approved by the Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research (HREC 2019-3551 and HREC 2018-3261). It was supported by the Menzies School of Health Child Health Division First Nations Reference Group and the First Nations Advisory Group for the Child and Youth Development Research Partnership. Informed consent for all participants was waived by the Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research. All research methods were performed in accordance with the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplementary Table 1.

Risk of preterm birth among First Nations and non-First Nations women (2008-2017): by perinatal characteristics.

Additional file 2: Supplementary Table 2.

Annual preterm birth prevalence (2008-2017) including subcategories: A: All pregnancies, B: First Nations and C: Non First Nations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brown, K., Cotaru, C. & Binks, M. A retrospective, longitudinal cohort study of trends and risk factors for preterm birth in the Northern Territory, Australia. BMC Pregnancy Childbirth 24, 33 (2024). https://doi.org/10.1186/s12884-023-06164-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12884-023-06164-6

Keywords