Type of deliveries supported by Dutch clinical midwives

OBJECTIVE

The number of clinical midwives in the Netherlands has substantially increased over the last twenty years, but their role in obstetric care is not clearly defined. Our aim was to identify the type of deliveries that are usually supported by clinical midwives and whether these changed over time.

DESIGN, SETTING, AND PARTICIPANTS

National data from the Netherlands Perinatal Registry from the years 2000 to 2016 (n = 2.999.411 deliveries) were used to divide all deliveries into classes using latent class analyses based on delivery characteristics. In the primary analyses, the identified classes, type of hospital, and year of cohort were used to predict deliveries supported by a clinical midwife. In secondary analyses, the same analyses were repeated where the classes were replaced by individual level characteristics of deliveries and stratified by referral during birth.

MEASUREMENTS AND FINDINGS

The latent class analyses identified three classes: I. referral during birth; II. Induction of labour; and III. Planned caesarian section. The primary analyses indicated that women in both class I and II were frequently supported by clinical midwives and those in the third class almost never. Therefore, only data from deliveries assigned to class I and II were used in the secondary analyses. The secondary analyses showed that clinical midwives supported deliveries with a great variety in characteristics, such as pain relief and preterm birth. Although the frequency of clinical midwives being involved in the second stage of labour increased over the years, we did not find noticeable changes in their involvement.

KEY CONCLUSION AND IMPLICATIONS FOR PRACTICE

Clinical midwives care for women with various types of deliveries with varying degrees of pathology and complexity during second stage of labour. Additional training, taking previously acquired skills and competences into account, is necessary to deal with this complexity for which clinical midwives are not always trained.

Defining vulnerability subgroups among pregnant women using pre-pregnancy information: a latent class analysis

BACKGROUND

Early detection of vulnerability during or before pregnancy can contribute to optimizing the first 1000 days, a crucial period for children's development and health. We aimed to identify classes of vulnerability among pregnant women in the Netherlands using pre-pregnancy data on a wide range of social risk and protective factors, and validate these classes against the risk of adverse outcomes.

METHODS

We conducted a latent class analysis based on 42 variables derived from nationwide observational data sources and self-reported data. Variables included individual, socioeconomic, lifestyle, psychosocial and household characteristics, self-reported health, healthcare utilization, life-events and living conditions. We compared classes in relation to adverse outcomes using logistic regression analyses.

RESULTS

In the study population of 4172 women, we identified five latent classes. The largest 'healthy and socioeconomically stable'-class [n = 2040 (48.9%)] mostly shared protective factors, such as paid work and positively perceived health. The classes 'high care utilization' [n = 485 (11.6%)], 'socioeconomic vulnerability' [n = 395 (9.5%)] and 'psychosocial vulnerability' [n = 1005 (24.0%)] were characterized by risk factors limited to one specific domain and protective factors in others. Women classified into the 'multidimensional vulnerability'-class [n = 250 (6.0%)] shared multiple risk factors in different domains (psychosocial, medical and socioeconomic risk factors). Multidimensional vulnerability was associated with adverse outcomes, such as premature birth and caesarean section.

CONCLUSIONS

Co-existence of multiple risk factors in various domains is associated with adverse outcomes for mother and child. Early detection of vulnerability and strategies to improve parental health and well-being might benefit from focussing on different domains and combining medical and social care and support.

Does neighbourhood crime mediate the relationship between neighbourhood SES and birth outcomes?

Background

Previous studies have consistently found that women living in low socioeconomic status (SES) neighbourhoods are at higher risk of experiencing adverse birth outcomes compared to women from high SES areas. However, the mechanisms through which neighbourhood SES might influence health at birth remain poorly understood. One of the proposed pathways is the exposure to higher crime rates. The aim of this study is to investigate whether neighbourhood crime mediates the relationship between neighbourhood SES and birth outcomes.

Methods

A retrospective cohort study including over 1.3 million singleton births occurred in the Netherlands between 2010 and 2017. Individual-level data from the Dutch perinatal registry was linked to quintiles of neighbourhood SES scores and neighbourhood-level crime rates. Using the mediational g-formula, we estimated the total effect, natural direct effect, and natural indirect effect of neighbourhood SES on birth outcomes: small-for-gestational-age (SGA), low birth weight, and preterm birth. The neighbourhood SES intervention settings correspond with a hypothetical improvement in neighbourhood SES from the lowest to the highest quintile.

Results

The hypothetical improvement in neighbourhood SES resulted in a 6.6% (CI = 5.6%; 7.5%) relative reduction in the proportion of SGA births, an 8.9% (CI = 7.6%; 10.3%) reduction in the proportion of low birth weight, and a 5.1% (CI = 4.0%; 6.1%) decrease of preterm birth. Neighbourhood crime accounted for 29.0% (CI = 25.1%; 32.8%) of the total effect of neighbourhood SES on SGA, and for 8.6% (CI = 5.1%; 11.6%) of the total effect on low birth weight. For preterm birth, we found no evidence of mediation by neighbourhood crime.

Conclusions

Neighbourhood crime mediates the association between neighbourhood SES and key adverse birth outcomes. Interventions targeted at lowering neighbourhood crime rates could improve birth outcomes in disadvantaged areas.

Key messages

High to low, low to high: neighbourhood socioeconomic trajectories and birth outcomes

Background

A growing body of literature has consistently linked neighbourhood socioeconomic status (SES) with adverse birth outcomes. However, the available evidence is based on cross-sectional indicators of neighbourhood SES, which fail to reflect neighbourhoods' dynamic nature. The objective of this study was to explore the relationship between temporal trajectories of neighbourhood socioeconomic change and adverse birth outcomes.

Methods

The study population consisted of registered singleton births occurred in the Netherlands 2003-2017 between 24 and 41 weeks of gestation (N = 2,335,449). Based on neighbourhood socioeconomic data from The Netherlands Institute for Social Research, we categorized neighbourhoods into longitudinal SES trajectories (e.g. stable, declining, ascending). Multilevel logistic regression models were used to estimate the relationship between neighbourhood SES trajectories and birth outcomes, i.e., preterm birth and small-for-gestational-age (SGA).

Results

Living in a Stable Low SES neighbourhood was associated with higher odds of preterm birth (OR[CI]=1.10[1.06; 1.14]), and SGA (OR[CI]=1.15[1.12; 1.18]), compared to living in Stable High SES areas. Also, women living in a Declining (Middle to Low SES) neighbourhood had higher odds for preterm birth (OR = 1.08[1.03; 1.14]) and SGA (OR = 1.10 [1.06; 1.15]), compared to Stable High SES areas.

Conclusions

Women from neighbourhoods with long-term low or declining SES were more likely to experience adverse birth outcomes. Policies aimed at mitigating the effect of long-term neighbourhood disadvantage or preventing neighbourhoods' decline have potential to benefit early life health outcomes.

Key messages

Women living in long-term low or declining socioeconomic status neighbourhoods were more likely to experience adverse birth outcomes. Our results can provide guidance to policies aimed at improving early life health outcomes.

Client-tailored maternity care to increase maternal empowerment: cluster randomized controlled trial protocol; the healthy pregnancy 4 All-2 program

Background

The postpartum period is an important period for preventive strategies as common maternal and child health risks may become manifest. Women with a lower socioeconomic status tend to have lower maternal empowerment. Increasing their risks of adverse maternal and child health outcomes. This study aims to assess the effectiveness of a primary care level intervention. Delivered to maternity care assistants, aiming to increase maternal empowerment postpartum.

Methods

This study is part of the Dutch nationwide “Healthy Pregnancy 4 All-2” (HP4All-2) program, which aims to identify vulnerable mothers and young children at risk of adverse health outcomes, and subsequently improve their care. This program targets women from deprived neighborhoods.

A pragmatic cluster randomized controlled trial will be undertaken in 12 maternity care organizations. Maternity care organizations in urban municipalities (i.e. the clusters) will be randomized to either a systematic risk assessment during pregnancy with emphasis on identification of non-medical risk factors for adverse maternal and neonatal health outcomes, and subsequent adaptation of care towards a client-tailored approach during pregnancy and the postpartum period, or solely the systematic risk assessment. The primary outcome is the prevalence of a low maternal empowerment score postpartum. Secondary maternal outcomes cover health-related quality of life, postnatal depression, smoking, alcohol consumption, illicit drug use. Finally, maternal and neonatal health care utilization postpartum are recorded. All outcomes will be analyzed according to the intention-to-treat principle, using multi-level mixed effects models.

Discussion

The study will contribute to evidence regarding the effectiveness of client-tailored, risk-based maternity care to increase maternal empowerment postpartum.

Trial registration

Netherlands Trial Registry (NTR) 6311, registered 03-27-2017.