Association of neighbourhood socioeconomic trajectories with preterm birth and small-for-gestational-age in the Netherlands: a nationwide population-based study

Severe Maternal Morbidity and Postpartum Care: An Investigation Among a Privately Insured Population in the United States, 2008-2019

Objective: This study examines postpartum health care utilization among women with severe maternal morbidity (SMM) subtypes (e.g., blood transfusion, renal), focusing on both early (within 7 days) and late (8-42 days) postpartum periods. By including outpatient visits alongside inpatient and emergency department (ED) visits, the study offers a comprehensive view of postpartum health care needs among women with SMM. Methods: This retrospective cohort study used data from Optum's de-identified Clinformatics® Data Mart Database from 2008 to 2019. The primary outcomes were early and late postpartum inpatient readmissions, early and late ED visits, and outpatient care within 42 days after delivery. Multilevel logistic regression models were used to estimate the association between SMM subtypes and postpartum readmission, ED, and outpatient care. Results: Except for hemorrhage, most SMM subtypes increased the postpartum odds of health care utilization. Women with other medical SMM (e.g., puerperal cerebrovascular disorders or sickle cell disease with crisis) had 2.9 times the odds (odds ratio [OR]: 2.87, 95% confidence interval [CI]: 1.30-6.34) of experiencing early readmissions compared with those without other medical SMM. Women with sepsis had 4.5-fold elevated odds (OR: 4.53, 95% CI: 2.48-8.28) of late readmission, a 1.9-fold increased odds (OR: 1.85, 95% CI: 1.12-3.04) of early ED visits, and over a 2-fold increased odds (OR: 2.27, 95% CI: 1.67-3.08) of postpartum outpatient visits compared with those without sepsis. Conclusion: This study reveals that certain SMM subtypes significantly increase postpartum health care utilization, emphasizing the need for further research and interventions to improve outcomes for affected women.

Sociodemographic and regional differences in neonatal and infant mortality in Switzerland in 2011-2018: the Swiss National Cohort

BACKGROUND AND AIMS

Despite a well-funded healthcare system with universal insurance coverage, Switzerland has one of the highest neonatal and infant mortality rates among high-income countries. Identifying avoidable risk factors targeted by evidence-based policies is a public health priority. We describe neonatal and infant mortality in Switzerland from 2011 to 2018 and explore associations with neonatal- and pregnancy-related variables, parental sociodemographic information, regional factors and socioeconomic position (SEP) using data from a long-term nationwide cohort study.

METHODS

We included 680,077 live births, representing 99.3% of all infants born in Switzerland between January 2011 and December 2018. We deterministically linked the national live birth register with the mortality register and with census and survey data to create a longitudinal dataset of neonatal- and pregnancy-related variables; parental sociodemographic information, such as civil status, age, religion, education, nationality; regional factors, such as urbanity, language region; and the Swiss neighbourhood index of socioeconomic position (Swiss-SEP index). Information on maternal education was available for a random subset of 242,949 infants. We investigated associations with neonatal and infant mortality by fitting multivariable Poisson regression models with robust standard errors. Several sensitivity analyses assessed the robustness of our findings.

RESULTS

Overall, neonatal mortality rates between 2011 and 2018 were 3.0 per 1000 live births, with regional variations: 3.2 in German-speaking, 2.4 in French-speaking and 2.1 in Italian-speaking Switzerland. For infant mortality, the rates were 3.7 per 1000 live births overall, and 3.9 in the German-speaking, 3.3 in the French-speaking and 2.9 in the Italian-speaking region. After adjusting for sex, maternal age, multiple birth and birth rank, neonatal mortality remained significantly associated with language region (adjusted rate ratio [aRR] 0.72, 95% confidence interval [CI]: 0.64-0.80 for the French-speaking region and aRR 0.66, 95% CI: 0.51-0.87 for the Italian-speaking region vs German-speaking region), with marital status (aRR 1.55, 95% CI: 1.40-1.71 for unmarried vs married), nationality (aRR 1.40, 95% CI: 1.21-1.62 for non-European Economic Area vs Swiss) and the Swiss-SEP index (aRR 1.17, 95% CI: 1.00-1.36 for lowest vs highest SEP quintile). In the subset, we showed a possible association of neonatal mortality with maternal education (aRR 1.24, 95% CI: 0.95-1.61 for compulsory vs tertiary education).

CONCLUSION

We provide detailed evidence about the social patterning of neonatal and infant mortality in Switzerland and reveal important regional differences with about 30% lower risks in French- and Italian-speaking compared with German-speaking regions. Underlying causes for such regional differences, such as cultural, lifestyle or healthcare-related factors, warrant further exploration to inform and provide an evidence base for public health policies.

Neighborhood Disadvantage and Birth Outcomes Among Refugees

OBJECTIVE

To examine the association between neighborhood socioeconomic disadvantage and birth outcomes among refugee women in Denmark, leveraging a natural experiment.

METHODS

This register-based study included 15 118 infants born to women who arrived in Denmark as refugees during 1986 to 1998, when a dispersal policy was in place that quasirandomly assigned newcomers to neighborhoods with varying degrees of socioeconomic disadvantage. Neighborhood disadvantage was measured using a composite index representing neighborhood-level income, education, unemployment, and welfare assistance. These data were linked to individual-level birth register data. Outcomes included low birth weight, preterm birth, and small-for-gestational-age infants. Associations between neighborhood disadvantage at resettlement and birth outcomes up to 20 years after resettlement were examined using multivariable regressions adjusting for characteristics of the women at resettlement.

RESULTS

Each SD of increase in neighborhood disadvantage was associated with an 18% increase in low birth weight risk (0.61 percentage points [pp], 95% confidence interval [CI]: 0.19-1.02), 15% increase in preterm birth risk (0.64 pp, 95% CI: 0.22-1.07), and 7% increase in small-for-gestational-age risk (0.78 pp, 95% CI: 0.01-1.54) 5 years after resettlement. Results did not differ after adjusting for urbanicity and conational density, but associations were attenuated after adjusting for municipality-level fixed effects, suggesting that local government characteristics may partially explain the associations.

CONCLUSIONS

Resettling in a disadvantaged neighborhood is associated with higher risk of adverse birth outcomes among refugee women. This highlights how policy decisions affecting settlement of refugees can have long-term consequences, including on the health of the next generation.

Trends in gestational age at live birth in Scotland from 2005 to 2019: a population-based study

Background

Gestation at birth is associated with short and long-term outcomes. This study used high quality, national, administrative data to examine trends in gestation at birth in Scotland.

Methods

This observational study used maternity hospital discharge records for 2005 to 2019 to determine trends in the percentage of live births that were preterm (<37 weeks gestation), term (37-41 weeks), and post-term (≥42 weeks), overall and by maternal age and deprivation category. Preterm births were further examined by category of preterm birth (moderate to late [32-36 weeks]; very [28-31 weeks]; extremely [<28 weeks] preterm), and onset of labour (spontaneous; provider-initiated). Singleton and multiple births were examined separately. Aggregate logistic regression was used to estimate the annual change in the odds of a birth being in a specified gestational category.

Results

The percentage of singleton births in Scotland that were preterm decreased from 2005 (6.5%, 3,361/51,665) to 2010 (5.8%, 3268/56344), then increased to 2019 (7.2%, 3,408/47,507). The percentage of singleton births that were spontaneous moderate to late, very, and extremely preterm all increased between 2010 and 2019. The percentage of singleton births that were provider-initiated moderate to late preterm also increased between 2010 and 2019, however provider-initiated very or extremely preterm birth decreased. The percentage of singleton births that were preterm increased over time across all maternal age and deprivation categories, with increases greatest in groups at highest baseline risk. The percentage of singleton births that were post-term increased from 2005 to 2009, then decreased to 2019.

Conclusions

There has been an increase in spontaneous preterm birth from 2010 to 2019, which is not fully explained by changes in maternal age or deprivation. Further research to examine the contribution of other, preventable, risk factors is warranted. Trends in provider-initiated preterm birth, and post-term birth, are likely to reflect changing clinical practice.

Building Cross-sectoral Collaborations to Address Perinatal Health Inequities: Insights From the Dutch Healthy Pregnancy 4 All-3 Program

BACKGROUND

Addressing perinatal health inequities is the joint responsibility of professionals working for local governments, the medical, social, and public health sector. Cross-sectoral collaboration between these professionals is challenging. For such collaborations to succeed, a transition, ie, a fundamental shift in the dominant structure, culture, and practices at the systems level, is necessary. We investigated facilitators and barriers for cross-sectoral collaborations, when addressing perinatal health inequities in the Netherlands. Additionally, we studied how cross-sectoral collaborations can be facilitated by action research.

METHODS

We used interview and questionnaire data of the Healthy Pregnancy 4 All-3 (HP4All-3) program, which resulted from action research in six Dutch municipalities. All interviews were coded using open codes related to facilitators and barriers for cross-sectoral collaboration and categorized into three subgroups: structural, cultural, or practical. The answers to the questionnaire were analyzed and summarized quantitatively.

RESULTS

We conducted 53 interviews with a total of 81 professionals. The most important ingredients for cross-sectoral collaborations mentioned by the interviewees were: (1) structural: having a solid network with a clear overview of professionals working in the different sectors, (2) cultural: having a joint vision/goal, and (3) practical: short lines of communication and timely sharing of information. A total of 85 professionals filled in (parts of) the questionnaire. Two-thirds to over 80 percent replied that the HP4All-3 program had an added value in building cross-sectoral collaborations.

CONCLUSION

Our research shows that cross-sectoral collaborations in the context of perinatal health are hampered by structural, cultural, and practical barriers. Analyzing facilitators and barriers at these three levels helps to identify bottlenecks in cross-sectoral collaboration. Action researchers can be of great advantage in facilitating collaboration, as they can offer an open setting for reflection and instigate a sense of urgency for building collaborations.

Socio-economic disparities in hospital care among Dutch patients with diabetes mellitus

AIM

Socio-economic status (SES) influences diabetes onset, progression and treatment. In this study, the associations between SES and use of hospital care were assessed, focusing on hospitalizations, technology and cardiovascular complications.

MATERIALS AND METHODS

This was an observational cohort study comprising 196 695 patients with diabetes (all types and ages) treated in 65 hospitals across the Netherlands from 2019 to 2020 using reimbursement data. Patients were stratified in low, middle, or high SES based on residential areas derived from four-digit zip codes.

RESULTS

Children and adults with low SES were hospitalized more often than patients with middle or high SES (children: 22%, 19% and 15%, respectively; p < .001, adults: 28%, 25% and 23%; p < .001). Patients with low SES used the least technology: no technology in 48% of children with low SES versus 40% with middle SES and 38% with high SES. In children, continuous subcutaneous insulin infusion (CSII) and real-time continuous glucose monitoring (rtCGM) use was higher in high SES {CSII: odds ratio (OR) 1.54 [95% confidence interval (CI) 1.35-1.76]; p < .001; rtCGM OR 1.39 [95% CI 1.20-1.61]; p < .001} and middle SES [CSII: OR 1.41 (95% CI 1.24-1.62); p < .001; rtCGM: OR 1.27 (95% CI 1.09-1.47); p = .002] compared with low SES. Macrovascular (OR 0.78 (95% CI 0.75-0.80); p < .001) and microvascular complications [OR 0.95 (95% CI 0.93-0.98); p < .001] occurred less in high than in low SES.

CONCLUSIONS

Socio-economic disparities were observed in patients with diabetes treated in Dutch hospitals, where basic health care is covered. Patients with low SES were hospitalized more often, used less technology, and adults with high SES showed fewer cardiovascular complications. These inequities warrant attention to guarantee equal outcomes for all.

Do women living in a deprived neighborhood have higher maternity care costs and worse pregnancy outcomes? A retrospective population-based study

BACKGROUND

Living in a deprived neighborhood is associated with poorer health, due to factors such as lower socio-economic status and an adverse lifestyle. There is little insight into whether living in deprived neighborhood is associated with adverse maternity care outcomes and maternity health care costs. We expect women in a deprived neighborhood to experience a more complicated pregnancy, with more secondary obstetric care (as opposed to primary midwifery care) and higher maternity care costs. This study aimed to answer the following research question: to what extent are moment of referral from primary to secondary care, mode of delivery, (extreme or very) preterm delivery and maternity care costs associated with neighborhood deprivation?

METHODS

This retrospective cohort study used a national Dutch database with healthcare claims processed by health insurers. All pregnancies that started in 2018 were included. The moment of referral from primary to secondary care, mode of delivery, (extreme or very) preterm delivery and maternity care costs were compared between women in deprived and non-deprived neighborhoods. We reported descriptive statistics, and results of ordinal logistic, multinomial and linear regressions to assess whether differences between the two groups exist.

RESULTS

Women in deprived neighborhoods had higher odds of being referred from primary to secondary care during pregnancy (adjusted OR 1.49, 95%CI 1.41-1.57) and to start their pregnancy in secondary care (adjusted OR 1.55, 95%CI 1.44-1.66). Furthermore, women in deprived neighborhoods had lower odds of assisted delivery than women in non-deprived neighborhoods (adjusted OR 0.73, 95%CI 0.66-0.80), and they had higher odds of a cesarean section (adjusted OR 1.19, 95%CI 1.13-1.25). On average, women in a deprived neighborhood had higher maternity care costs worth 156 euros (95%CI 104-208).

CONCLUSION

This study showed that living in a deprived neighborhood is associated with more intensive maternal care and higher maternal care costs in the Netherlands. These findings support the needs for greater attention to socio-economic factors in maternity care in the Netherlands.

Preterm Birth Following Active Surveillance vs Loop Excision for Cervical Intraepithelial Neoplasia Grade 2

Importance

Active surveillance for cervical intraepithelial neoplasia grade 2 (CIN2) is being implemented in many high-income countries due to the association of excisional treatment with preterm birth. However, it is unknown whether active surveillance results in lower risk of preterm birth given that cervical dysplasia itself is associated with higher risk of preterm birth.

Objective

To compare the preterm birth risk between women with CIN2 undergoing active surveillance or immediate loop electrosurgical excision procedure (LEEP).

Design, Setting, and Participants

This historical population-based cohort study included women with a first-time diagnosis of CIN2 and a subsequent singleton birth from 1998 to 2018 in Denmark. Women with prior CIN grade 3 or greater or LEEP were excluded. Data were collected from 4 Danish health care registries. Analyses were conducted from October 2022 to June 2023.

Exposure

Women were categorized into active surveillance (cervical biopsy and/or cytology) or immediate LEEP based on their first cervical sample after CIN2 diagnosis. The active surveillance group was further subdivided based on whether a delayed LEEP was performed within 28 months from CIN2 diagnosis.

Main Outcomes and Measures

Risk of preterm birth (<37 + 0 weeks) was assessed and relative risks (RRs) were calculated using modified Poisson regression. Analyses used inverse probability treatment weighting of the propensity scores to adjust for age, parity, calendar year, index cytology, and smoking.

Results

A total of 10 537 women with CIN2 and a singleton birth were identified; 4430 (42%) underwent active surveillance and 6107 (58%) were treated with immediate LEEP. For both groups, most were aged 23 to 29 years at CIN2 diagnosis (3125 [70%] and 3907 [64%], respectively). Overall, 869 births (8.2%) were preterm. The risk of preterm birth was comparable between active surveillance and immediate LEEP (RR, 1.03; 95% CI, 0.90-1.18). However, for women undergoing delayed LEEP after active surveillance (1539 of the active surveillance group [35%]), the risk of preterm birth was higher than for women treated with immediate LEEP (RR, 1.29; 95% CI, 1.08-1.55).

Conclusions and relevance

In this cohort study of women with CIN2, the risk of preterm birth was comparable between active surveillance and immediate LEEP. However, delayed LEEP was associated with 30% higher risk of preterm birth than immediate LEEP. Thus, risk stratification at CIN2 diagnosis is important to identify women with increased risk of delayed LEEP.

Vulnerable newborn phenotypes in Peru: a population-based study of 3,841,531 births at national and subnational levels from 2012 to 2021

Background

We aimed to examine the national and subnational prevalence of vulnerable newborn phenotypes in Peru, 2012-2021.

Methods

Newborn phenotypes were defined using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight [LBW], non-LBW) using the Peruvian National Birth Registry as six (by excluding birthweight) and ten newborn phenotypes (using all three outcomes). Small phenotypes (with at least one classification of PT, SGA, or LBW) were further considered. Using individual-level data, we stratified the phenotypes by maternal educational level, maternal age, healthcare insurance, altitude of residence, and geographic region (Coast, Andes, and Amazon).

Findings

The prevalence of the five vulnerable newborn phenotypes for the study period was LGA+T (15.2%), AGA+PT (5.2%), SGA+T (4.6%), LGA+PT (0.8%), and SGA+PT (0.7%). The Coast had a higher prevalence of newborns with large phenotypes (19.4%) and the Highlands a higher prevalence of newborns with small phenotypes (12.5%). Mothers with poor socioeconomic status, extreme ages and living at high altitude had a higher prevalence of newborns with small phenotypes, and mothers who were wealthier, more educated, and older had a higher prevalence of infants with large phenotypes.

Interpretation

Our findings cautiously suggest that socioeconomic and geographic disparities may play a crucial role in shaping vulnerable newborn phenotypes at national and subnational level in Peru. Further studies using longitudinal data are needed to corroborate our findings and to identify individual-level risk factors.

Funding

Ter Meulen Grant from the KNAW Medical Sciences Fund of the Royal Netherlands Academy of Arts and Sciences (KNAWWF/1085/TMB406, KNAWWF/1327/TMB202116), Fogarty Program (D43TW011502).

Characteristics Associated With Telemonitoring Use Among Patients With Chronic Heart Failure: Retrospective Cohort Study

BACKGROUND

Chronic heart failure (HF) is a chronic disease affecting more than 64 million people worldwide, with an increasing prevalence and a high burden on individual patients and society. Telemonitoring may be able to mitigate some of this burden by increasing self-management and preventing use of the health care system. However, it is unknown to what degree telemonitoring has been adopted by hospitals and if the use of telemonitoring is associated with certain patient characteristics. Insight into the dissemination of this technology among hospitals and patients may inform strategies for further adoption.

OBJECTIVE

We aimed to explore the use of telemonitoring among hospitals in the Netherlands and to identify patient characteristics associated with the use of telemonitoring for HF.

METHODS

We performed a retrospective cohort study based on routinely collected health care claim data in the Netherlands. Descriptive analyses were used to gain insight in the adoption of telemonitoring for HF among hospitals in 2019. We used logistic multiple regression analyses to explore the associations between patient characteristics and telemonitoring use.

RESULTS

Less than half (31/84, 37%) of all included hospitals had claims for telemonitoring, and 20% (17/84) of hospitals had more than 10 patients with telemonitoring claims. Within these 17 hospitals, a total of 7040 patients were treated for HF in 2019, of whom 5.8% (409/7040) incurred a telemonitoring claim. Odds ratios (ORs) for using telemonitoring were higher for male patients (adjusted OR 1.90, 95% CI 1.50-2.41) and patients with previous hospital treatment for HF (adjusted OR 1.76, 95% CI 1.39-2.24). ORs were lower for higher age categories and were lowest for the highest age category, that is, patients older than 80 years (OR 0.30, 95% CI 0.21-0.44) compared to the reference age category (18-59 years). Socioeconomic status, degree of multimorbidity, and excessive polypharmacy were not associated with the use of telemonitoring.

CONCLUSIONS

The use of reimbursed telemonitoring for HF was limited up to 2019, and our results suggest that large variation exists among hospitals. A lack of adoption is therefore not only due to a lack of diffusion among hospitals but also due to a lack of scaling up within hospitals that already deploy telemonitoring. Future studies should therefore focus on both kinds of adoption and how to facilitate these processes. Older patients, female patients, and patients with no previous hospital treatment for HF were less likely to use telemonitoring for HF. This shows that some patient groups are not served as much by telemonitoring as other patient groups. The underlying mechanism of the reported associations should be identified in order to gain a deeper understanding of telemonitoring use among different patient groups.

Neighborhood Food Environment and Birth Weight Outcomes in New York City

Importance

Infants born with unhealthy birth weight are at greater risk for long-term health complications, but little is known about how neighborhood characteristics (eg, walkability, food environment) may affect birth weight outcomes.

Objective

To assess whether neighborhood-level characteristics (poverty rate, food environment, and walkability) are associated with risk of unhealthy birth weight outcomes and to evaluate whether gestational weight gain mediated these associations.

Design, Setting, and Participants

The population-based cross-sectional study included births in the 2015 vital statistics records from the New York City Department of Health and Mental Hygiene. Only singleton births and observations with complete birth weight and covariate data were included. Analyses were performed from November 2021 to March 2022.

Exposures

Residential neighborhood-level characteristics, including poverty, food environment (healthy and unhealthy food retail establishments), and walkability (measured by both walkable destinations and a neighborhood walkability index combining walkability measures like street intersection and transit stop density). Neighborhood-level variables categorized into quartiles.

Main Outcomes and Measures

The main outcomes were birth certificate birth weight measures including small for gestational age (SGA), large for gestational age (LGA), and sex-specific birth weight for gestational age z-score. Generalized linear mixed-effects models and hierarchical linear models estimated risk ratios for associations between density of neighborhood-level characteristics within a 1-km buffer of residential census block centroid and birth weight outcomes.

Results

The study included 106 194 births in New York City. The mean (SD) age of pregnant individuals in the sample was 29.9 (6.1) years. Prevalence of SGA and LGA were 12.9% and 8.4%, respectively. Residence in the highest density quartile of healthy food retail establishments compared with the lowest quartile was associated with lower adjusted risk of SGA (with adjustment for individual covariates including gestational weight gain z-score: risk ratio [RR], 0.89; 95% CI 0.83-0.97). Higher neighborhood density of unhealthy food retail establishments was associated with higher adjusted risk of delivering an infant classified as SGA (fourth vs first quartile: RR, 1.12; 95% CI, 1.01-1.24). The RR for the association between density of unhealthy food retail establishments and risk of LGA was higher after adjustment for all covariates in each quartile compared with quartile 1 (second: RR, 1.12 [95% CI, 1.04-1.20]; third: RR, 1.18 [95% CI, 1.08-1.29]; fourth: RR, 1.16; [95% CI, 1.04-1.29]). There were no associations between neighborhood walkability and birth weight outcomes (SGA for fourth vs first quartile: RR, 1.01 [95% CI, 0.94-1.08]; LGA for fourth vs first quartile: RR, 1.06 [95% CI, 0.98-1.14]).

Conclusions and Relevance

In this population-based cross-sectional study, healthfulness of neighborhood food environments was associated with risk of SGA and LGA. The findings support use of urban design and planning guidelines to improve food environments to support healthy pregnancies and birth weight.

Neighborhood Deprivation and Association With Neonatal Intensive Care Unit Mortality and Morbidity for Extremely Premature Infants

Importance

Socioeconomic status affects pregnancy and neurodevelopment, but its association with hospital outcomes among premature infants is unknown. The Area Deprivation Index (ADI) is a validated measure of neighborhood disadvantage that uses US Census Bureau data on income, educational level, employment, and housing quality.

Objective

To determine whether ADI is associated with neonatal intensive care unit (NICU) mortality and morbidity in extremely premature infants.

Design, Setting, and Participants

This retrospective cohort study was performed at 4 level IV NICUs in the US Northeast, Mid-Atlantic, Midwest, and South regions. Non-Hispanic White and Black infants with gestational age of less than 29 weeks and born between January 1, 2012, and December 31, 2020, were included in the analysis. Addresses were converted to census blocks, identified by Federal Information Processing Series codes, to link residences to national ADI percentiles.

Exposures

ADI, race, birth weight, sex, and outborn status.

Main Outcomes and Measures

In the primary outcome, the association between ADI and NICU mortality was analyzed using bayesian logistic regression adjusted for race, birth weight, outborn status, and sex. Risk factors were considered significant if the 95% credible intervals excluded zero. In the secondary outcome, the association between ADI and NICU morbidities, including late-onset sepsis, necrotizing enterocolitis (NEC), and severe intraventricular hemorrhage (IVH), were also analyzed.

Results

A total of 2765 infants with a mean (SD) gestational age of 25.6 (1.7) weeks and mean (SD) birth weight of 805 (241) g were included in the analysis. Of these, 1391 (50.3%) were boys, 1325 (47.9%) reported Black maternal race, 498 (18.0%) died before NICU discharge, 692 (25.0%) developed sepsis or NEC, and 353 (12.8%) had severe IVH. In univariate analysis, higher median ADI was found among Black compared with White infants (77 [IQR, 45-93] vs 57 [IQR, 32-77]; P < .001), those who died before NICU discharge vs survived (71 [IQR, 45-89] vs 64 [IQR, 36-86]), those with late-onset sepsis or NEC vs those without (68 [IQR, 41-88] vs 64 [IQR, 35-86]), and those with severe IVH vs those without (69 [IQR, 44-90] vs 64 [IQR, 36-86]). In a multivariable bayesian logistic regression model, lower birth weight, higher ADI, and male sex were risk factors for mortality (95% credible intervals excluded zero), while Black race and outborn status were not. The ADI was also identified as a risk factor for sepsis or NEC and severe IVH.

Conclusions and Relevance

The findings of this cohort study of extremely preterm infants admitted to 4 NICUs in different US geographic regions suggest that ADI was a risk factor for mortality and morbidity after adjusting for multiple covariates.

Patient-reported outcome and experience measures for quality improvement in pregnancy and childbirth care: a retrospective cohort study

BACKGROUND

Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) can highlight issues that remain unnoticed when using standard clinical quality indicators. However, estimations of the potential power of measuring PROMs and PREMs to identify unrecognised areas suitable for quality improvement are often limited by a lack of reliable real-world data. Here, we report on how the indicator set for PROMs and PREMs that was recently developed by the International Consortium for Health Outcome Measures can change perspectives on quality assessment in women receiving care for pregnancy and childbirth.

METHODS

PROMs and PREMs were captured 6 months after childbirth via an online survey in a single academic maternity unit in the Netherlands between 2018 and 2019. Indicators of abnormality were scored using predefined cut-off values established by a national consensus group. We used regression analysis to identify associations between PROMs, PREMs and healthcare use, and further stratified data to explore the distribution of indicators among relevant patient subgroups.

RESULTS

Of 2775 questionnaires, 645 were completed and linked to medical health records. Despite only 5% of women reporting overall dissatisfaction with care, suboptimal scores were often found; in birth experience for 32% of the population, and 42% who experienced painful sexual intercourse. Subgroup analysis further revealed associations with relevant indicators of quality of care; inadequate pain relief among women with preterm birth (OR 8.8), pain with sexual intercourse among women undergoing vaginal assisted delivery (OR 2.2) and women living in a deprived area had problematic birth experiences (coefficient -3.2).

CONCLUSION

Use of PROMs and PREMs in pregnancy and childbirth care provides new insights on quality of care, resulting in potentially actionable targets for improvement not normally identified with standard clinical quality indicators. Implementation strategies and follow-up are needed to act on these findings.

Analysis of an Association between Preterm Birth and Parental Educational Level in Japan Using National Data

Preterm birth rate depending on parental educational level in recent years has not been surveyed in Japan. In this study, we showed the trend in preterm birth rate depending on parental educational level from 2000 to 2020 by linking data from the Census regarding individuals' educational level and parents in birth data of the vital statistics. Four types of parental educational level, namely junior high school, high school, technical school or junior college, and university or graduate school, were compared. Slope and relative indexes of inequality for preterm birth by educational level were computed by binomial models. Data on 3,148,711 births and 381,129,294 people were used in the analysis, and data on 782,536 singleton births were used after data linkage. The preterm birth rate (%) for junior high school graduate mothers and fathers was 5.09 and 5.20 in 2020, respectively. Contrarily, the preterm birth rate (%) for parents who graduated from a university or graduate school was 4.24 for mothers and 4.39 for fathers, and the rate tended to increase as educational level decreased, irrespective of parental gender. Results of inequality indexes showed that a statistically significant inequality by parental educational level persisted from 2000 to 2020.

The multiple roles of life stress in metabolic disorders

The activation of stress-related neuroendocrine systems helps to maintain homeostasis, but excessive stress can damage body functions. We review current evidence from basic sciences and epidemiology linking stress to the development and progression of metabolic disorders throughout life. Findings from rodents demonstrate that stress can affect features of metabolic dysfunction, such as insulin resistance, glucose and lipid homeostasis, as well as ageing processes such as cellular senescence and telomere length shortening. In human studies, stressors in the home, workplace and neighbourhood are associated with accelerated ageing and metabolic and immune alterations, both directly and indirectly via behavioural risks. The likelihood of developing clinical conditions, such as diabetes mellitus and hepatic steatosis is increased in individuals with adverse childhood experiences or long-term (years) or severe stress at work or in private life. The increased risk of metabolic disorders is often associated with other stress-related conditions, such as mental health disorders, cardiovascular disease and increased susceptibility to infections. Equally, stress can worsen prognosis in metabolic diseases. As favourable modifications in stressors are associated with reductions in incidence of metabolic disorders, further investigation of the therapeutic value of targeting stress in personalized medicine is warranted.

Association between Neighbourhood Deprivation Trajectories and Self-Perceived Health: Analysis of a Linked Survey and Health Administrative Data

Life course exposure to neighbourhood deprivation may have a previously unstudied relationship with health disparities. This study examined the association between neighbourhood deprivation trajectories (NDTs) and poor reported self-perceived health (SPH) among Quebec's adult population. Data of 45,990 adults with complete residential address histories from the Care-Trajectories-Enriched Data cohort, which links Canadian Community Health Survey respondents to health administrative data, were used. Accordingly, participants were categorised into nine NDTs (T1 (Privileged Stable)-T9 (Deprived Stable)). Using multivariate logistic regression, the association between trajectory groups and poor SPH was estimated. Of the participants, 10.3% (95% confidence interval [CI]: 9.9-10.8) had poor SPH status. This proportion varied considerably across NDTs: From 6.4% (95% CI: 5.7-7.2) for Privileged Stable (most advantaged) to 16.4% (95% CI: 15.0-17.8) for Deprived Stable (most disadvantaged) trajectories. After adjustment, the likelihood of reporting poor SPH was significantly higher among participants assigned to a Deprived Upward (odds ratio [OR]: 1.77; 95% CI: 1.48-2.12), Average Downward (OR: 1.75; CI: 1.08-2.84) or Deprived trajectory (OR: 1.81; CI: 1.45-2.86), compared to the Privileged trajectory. Long-term exposure to neighbourhood deprivation may be a risk factor for poor SPH. Thus, NDT measures should be considered when selecting a target population for public-health-related interventions.

Deprived neighborhoods and spontaneous preterm birth: A national cohort study

OBJECTIVE

Spontaneous preterm birth is the leading cause of infant morbidity and mortality in the developed world. Environmental socio-economic factors, such as neighborhood deprivation, are known to negatively affect birth outcomes, including overall preterm birth. However, the role of neighborhood deprivation in spontaneous preterm birth (SPTB) is unclear. The aim of the study is to 1) to determine the effect of neighborhood deprivation on SPTB birth and 2) to investigate the trend in rates of SPTB between 2010 and 2019 for each quintile of neighborhood deprivation.

STUDY DESIGN

Based on the national perinatal registry, we included 1,584,225 singleton pregnancies resulting in a birth from 22 to 42 completed weeks of gestation between 2010 and 2019 in the Netherlands. Deprivation scores per neighborhood were derived from the Netherlands Institute of Social Research and were linked to the perinatal registry data, using the woman's home address. The scores were divided into quintiles (Q). Rates of SPTB were calculated, categorized into <37 weeks, <32 weeks and <28 weeks of gestation. We used logistic regression analysis to adjust for maternal age, parity and ethnicity.

RESULTS

Compared to the most affluent neighborhoods (Q1), women in all other quintiles had a statistically significant increased risk for SPTB. The largest effect was observed in the most deprived neighborhoods (Q5); adjusted odds ratio 1.16 (95% confidence interval 1.13 - 1.19). From 2010 to 2019, we observed an overall decrease of 0.21% in SPTB < 37 weeks (p < 0.0001). All quintiles showed a decrease in SPTBs < 37 weeks, but only in Q1, Q2 & Q5 this decline in SPTB was statistically significant.

CONCLUSIONS

Pregnant women in deprived neighborhoods in the Netherlands are more at risk for spontaneous preterm birth. From 2010 to 2019, the rate of spontaneous preterm birth decreased. Efforts should be made by both governmental and medical professionals to develop intervention programs to reduce spontaneous preterm birth in more deprived neighborhoods.

Unsupervised Learning Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data

Preterm birth (PTB) is a phenomenon that brings risks and challenges for the survival of the newborn child. Despite many advances in research, not all the causes of PTB are already clear. It is understood that PTB risk is multi-factorial and can also be associated with socioeconomic factors. Thereby, this article seeks to use unsupervised learning techniques to stratify PTB risk in Brazil using only socioeconomic data. Through the use of datasets made publicly available by the Federal Government of Brazil, a new dataset was generated with municipality-level socioeconomic data and a PTB occurrence rate. This dataset was processed using various unsupervised learning techniques, such as k-means, principal component analysis (PCA), and density-based spatial clustering of applications with noise (DBSCAN). After validation, four clusters with high levels of PTB occurrence were discovered, as well as three with low levels. The clusters with high PTB were comprised mostly of municipalities with lower levels of education, worse quality of public services-such as basic sanitation and garbage collection-and a less white population. The regional distribution of the clusters was also observed, with clusters of high PTB located mostly in the North and Northeast regions of Brazil. The results indicate a positive influence of the quality of life and the offer of public services on the reduction in PTB risk.