Dataset Information

Assessing the relationship between adverse pregnancy outcomes and area-level deprivation in Wales 2014-2019: a national population-based cross-sectional study.

ABSTRACT:

Objectives

The aim of this study was to assess the relationship between deciles of area-level deprivation and seven adverse pregnancy outcomes in Wales.

Design

Cross-sectional analysis.

Setting

64 699 live births in Wales from 31 March 2014 to 16 September 2019.

Primary outcome variable

We examined each of the following seven adverse pregnancy outcomes: (1) small for gestational age (SGA); (2) large for gestational age; (3) preterm birth; (4) third-degree or fourth-degree perineal tear; (5) major postpartum haemorrhage (MPPH); (6) a lower Apgar score at 5 min and (7) emergency caesarean section.

Results

There was no significant association between increasing aggregate measures of area-level deprivation and the adverse pregnancy outcomes we studied. Women living in an area with greater access to services are more likely to have a baby that is SGA (1.27, 95% CI 1.11 to 1.49), have a greater likelihood of a perineal tear (1.74, 95% CI 1.15 to 2.61), are significantly less likely to have MPPH (0.79, 95% CI 0.64 to 0.96), have a baby with an Apgar score of 0.26 higher (95% CI 0.22 to 0.29) and are significantly less likely to have an emergency caesarean section (0.81, 95% CI 0.73 to 0.88). Women living in areas with higher employment (0.26, 95% CI 0.19 to 0.36) and better health (0.26, 95% CI 0.19 to 0.35) were less likely to experience perineal tear.

Conclusions

There was no clear social-spatial gradient in area-level deprivation and adverse pregnancy outcomes. We found a stronger association for individual-level behavioural risk factors than area-level factors. These findings support the benefits that accessible and holistic person-centred care may bring through addressing individual behavioural risk factors. There is a need for improved data completeness and further individual-level data on risk factors such as employment and income to better understand the role which may be played by population-level policies and their pathways to affecting outcomes.

SUBMITTER: Brown H

PROVIDER: S-EPMC8601077 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ObjectivesWe aimed to describe ethnic variations in infant mortality and explore the contribution of area deprivation, mother's country of birth, and prematurity to these variations.MethodsWe analyzed routine birth and death data on singleton live births (gestational age≥22 weeks) in England and Wales, 2006-2012. Infant mortality by ethnic group was analyzed using logistic regression with adjustment for sociodemographic characteristics and gestational age.ResultsIn the 4,634,932 births analyzed, crude infant mortality rates were higher in Pakistani, Black Caribbean, Black African, and Bangladeshi infants (6.92, 6.00, 5.17 and 4.40 per 1,000 live births, respectively vs. 2.87 in White British infants). Adjustment for maternal sociodemographic characteristics changed the results little. Further adjustment for gestational age strongly attenuated the risk in Black Caribbean (OR 1.02, 95% CI 0.89-1.17) and Black African infants (1.17, 1.06-1.29) but not in Pakistani (2.32, 2.15-2.50), Bangladeshi (1.47, 1.28-1.69), and Indian infants (1.24, 1.11-1.38). Ethnic variations in infant mortality differed significantly between term and preterm infants. At term, South Asian groups had higher risks which cannot be explained by sociodemographic characteristics. In preterm infants, adjustment for degree of prematurity (<28, 28-31, 32-33, 34-36 weeks) fully explained increased risks in Black but not Pakistani and Bangladeshi infants. Sensitivity analyses with further adjustment for small for gestational age, or excluding deaths due to congenital anomalies did not fully explain the excess risk in South Asian groups.ConclusionsHigher infant mortality in South Asian and Black infants does not appear to be explained by sociodemographic characteristics. Higher proportions of very premature infants appear to explain increased risks in Black infants but not in South Asian groups. Strategies targeting the prevention and management of preterm birth in Black groups and suboptimal birthweight and modifiable risk factors for congenital anomalies in South Asian groups might help reduce ethnic inequalities in infant mortality.

Project description:Pregnant women with systemic lupus erythematosus (SLE) have increased risk of adverse outcomes including disease flare, spontaneous abortion, preeclampsia/eclampsia, premature birth and maternal death. However, pregnancy outcomes among adolescents and young women with SLE have not been well-explored. Our objective was to compare risk of adverse pregnancy outcomes in adolescents and young women with SLE to risk among peers without SLE.We studied the 2000-2011 Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP) to estimate the prevalence of adverse pregnancy outcomes in women with SLE aged ??21 years at time of delivery. Outcomes were compared to peers without SLE by using multivariate logistic regression to calculate odds ratios and risk differences. Additionally, differences in length of stay and total charges per hospitalization were described.There were 8,791,391 unique pregnancies, of which 4002 occurred in young women with SLE. After adjustment for age, race, insurance type and quartile of median income based on patient ZIP code individuals with SLE had increased odds of pre-eclampsia/eclampsia (OR 3.2, 95% CI 2.3-4.6), maternal death (OR 80, 95% CI 10-604), preterm birth (OR 2.7, 95% CI 2-3.7), spontaneous abortion (OR 5.1, 95% CI 2.8-9.6), and induced abortion (OR 30, 95% CI 14-63). The increase in risk among women with SLE was greatest for preterm birth (RD 11%, 95% CI 6-16), pre-eclampsia/eclampsia (RD 9%, 95% CI 5-13), and spontaneous abortion (RD 4%, 95% CI 0.9-6). Risk difference for induced abortion was 2% with 95% CI 0.6-4, while the difference in risk for maternal death did not reach statistical significance (RD 0.4, 95% CI -0.4-1).Adolescents and young women with SLE experience increased risk of adverse, pregnancy-specific outcomes as compared to their peers, including pre-eclampsia/eclampsia, maternal death, preterm birth, spontaneous abortion, and induced abortion. Additionally, length of stay and total charges for hospitalization are increased.

Project description:BackgroundIn this first national bloodstream infection (BSI) surveillance program in China, we assessed the composition of pathogenic bacteria and the trends for antimicrobial susceptibility over a 6-year period in China.MethodsBlood bacterial isolates from patients at hospitals participating in the Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected from January 2014 to December 2019. Only the first isolate of a species per patient was eligible over the full study period. Antibiotic-susceptibility testing was conducted by agar-dilution or broth-dilution methods as recommended by the Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.ResultsDuring the study period, 27,899 bacterial strains were collected. Gram-positive organisms accounted for 29.5% (8244) of the species identified and Gram-negative organisms accounted for 70.5% (19,655). The most-commonly isolated organisms in blood cultures were Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, coagulase-negative Staphylococci, and Acinetobacter baumannii. The prevalence of multidrug-resistant organisms, such as E. coli, K. pneumoniae, A. baumannii was higher in tertiary hospitals, whereas extended-spectrum, β-lactamase-producing E. coli (ESBL-E. coli), carbapenem-resistant A. baumannii were more prevalent in economically-developing areas. The prevalence of methicillin-resistant S. aureus declined from 39.0% (73/187) in 2014 to 25.9% (230/889) in 2019 (p < 0.05). The prevalence of ESBL-E. coli dropped from 61.2% (412/673) to 51.0% (1878/3,683) over time (p < 0.05), and carbapenem-resistant E. coli remained low prevalence (< 2%; 145/9944; p = 0.397). In contrast, carbapenem-resistant K. pneumoniae increased markedly from 7.0% (16/229) in 2014 to 19.6% (325/1,655) in 2019 (p < 0.05).ConclusionE. coli and K. pneumoniae were the leading causes of BSI during the 6-year study period. The major resistant pathogens declined or remained stable, whereas carbapenem-resistant K. pneumoniae continued to increase, which poses a great therapeutic challenge for BSIs.

Project description:ObjectivesMost research on health inequalities uses aggregated deprivation scores assigned to the small area where the patient lives; however, the concordance between aggregate area-level deprivation measures and personal deprivation experienced by individuals living in the area is poorly understood. Our objective was to examine the agreement between individual and ecological deprivation. We tested the concordance between metrics of income, occupation and education at individual and area levels, and assessed the reliability of area-based deprivation measures to predict individual deprivation circumstances.SettingEngland and Wales.ParticipantsA cancer patient cohort of 9547 individuals extracted from the Office for National Statistics Longitudinal Study.OutcomesWe quantified the concordance between measures of income, occupation and education at individual and area level. In addition, we used ROC (receiver operating characteristic) curves and the area under the curve (AUC) to assess the reliability of area-based deprivation measures to predict individual deprivation circumstances.ResultsWe found low concordance between individual-level and area-level indicators of deprivation (Cramer's V statistics range between 0.07 and 0.20). The most commonly used indicator in health inequalities research, area-based income deprivation, was a poor predictor of individual income status (AUC between 0.56 and 0.59), whereas education and occupation were slightly better predictors (AUC between 0.62 and 0.65). The results were consistent across sexes and across six major cancer types.ConclusionsOur results indicate that ecological deprivation measures capture only part of the relationship between deprivation and health outcomes, especially with respect to income measurement. This has important implications for our understanding of the relationship between deprivation and health, and, as a consequence, healthcare policy. The results have a wide-reaching impact for the way in which we measure and monitor inequalities, and in turn, fund and organise current UK healthcare policy aimed at reducing them.