After 20 years of low fertility, where are the obstetrician-gynecologists?

Does the reduction in obstetric hospitals result in an unintended decreased in-hospital delivery utilisation? A causal multilevel analysis in China

Introduction

China's progress towards achieving Sustainable Development Goals for maternal health is largely attributed to a reduction in maternal mortality rates, driven by increased in-hospital delivery services utilisation. However, recent reductions in the number of obstetric hospitals have raised concerns about compromised access to these services. This study investigates the impact of reduced obstetric hospitals on spatial accessibility and the utilisation of in-hospital delivery services.

Methods

Data from 2016 to 2020 were collected from a densely populated province with approximately 83 million residents. Directed Acyclic Graph was applied to identify a minimally sufficient set of confounders, including residential characteristics and transportation-related factors. Multilevel regression models were employed to analyse the causal effects, with sensitivity analysis using fixed effect and quantile regression models.

Results

Between 2017 and 2020, the number of obstetric hospitals decreased by 21.3% (from 1209 to 951), leading to a decline in the proportion of pregnant women covered within a 2-hour driving radius (from 97.4% to 97.1%) and an increase in the maximum of shortest driving time within county (from 117.2 to 121.0 min). Multilevel regression models, adjusted for confounders, showed that a 1 percentage point increase in the proportion of pregnant women covered within a 2-hour driving radius was associated with a 13 percentage point (95% CI: 11.4 to 14.7) increase in in-hospital delivery rates, especially in areas with lower coverage and in-hospital delivery rates.

Conclusions

The reduction in obstetric hospitals increased travel distances, negatively impacting in-hospital delivery utilisation. Expanding the proportion of pregnant women covered within a 2-hour driving radius may be more effective than reducing the maximum of shortest travel distance within a county when optimising obstetric hospital locations. These findings provide insights for optimising obstetric facility locations in similar low- and middle-income countries. While improving spatial accessibility is important, the potential quality gains from centralising obstetric resources should also be considered.

Assessing maternity care access: impacts on cesarean sections and dystocia

BACKGROUND

As South Korea grapples with a declining birthrate, maternity care accessibility has become challenging. This study examines the association with labour intervention and pregnancy complication, specifically focusing on C-section and dystocia in maternity disparities.

METHODS

Data from the South Korean NHIS-NID was used to analyze 1,437,186 women with childbirths between 2010 and 2015. The research defines 50 specific districts as Obstetrically Underserved Areas produced by the Ministry of Health and Welfare in 2011. C-Section were assessed through using medical procedure and DRG codes, while dystocia was defined using ICD-10 code. Logistic regression analysis was used to examine the significance of the association.

RESULTS

Among the population residing in underserved areas, 42,873 out of a total of 1,437,186 individuals were identified. For nationwide cases, the odds ratios (ORs) for C-Section were 1.11 (95% CI: 1.08-1.13) and dystocia were 1.07 (95% CI: 1.05-1.09). In relatively accessible urban areas, the ORs for C-Section and dystocia, based on whether they were obstetrically underserved areas, were 1.16 (95% CI: 1.13-1.18) and 1.10 (95% CI: 1.08-1.19), respectively.

CONCLUSION

Poor accessibility to maternity care facilities is closely linked to high-risk pregnancies, including an increased incidence of dystocia and a higher rate of C-sections. Insufficient access to maternity care not only raises the risk of serious pregnancy complications. Consequently, there is a pressing need for multi-faceted efforts to bridge this disparity.

Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey

This study aimed to assess the current status of gestational diabetes mellitus (GDM) diagnosis and management, and the demand for a digital healthcare system, in order to develop an optimal digital-based management model for GDM. An anonymous online survey was conducted targeting pregnant/postpartum women (Group W), internal medicine physicians (Group P), and obstetricians (group O) from September 6, 2022 to December 31, 2022. The survey assessed the women's knowledge of GDM and gathered information about healthcare professionals' (HCPs) current GDM management practices. All groups were asked about their acceptance of and demands for a digital healthcare system for GDM. Statistical comparisons between groups were conducted using the chi-square test or Fisher's exact test where appropriate. A total of 168 participants were in Group W, 185 in Group P, and 256 in Group O. Participants from all groups recognized the need for a digital healthcare system for GDM (Group W: 95.8%, Group P: 85.9%, Group O: 60%). However, HCPs showed less willingness to integrate these systems into their clinics than pregnant/postpartum women. Essential features identified were recording blood glucose levels and insulin, along with automatic data linkage from self-monitoring devices. Group W showed a higher preference for lab test access, search functionality, and fetal weight assessment than groups P and O (all P < .0001), while Groups P and O had a greater preference for recording insulin and maternal body weight compared to Group W (P = .0141 and .0023, respectively). Both pregnant/postpartum women and HCPs acknowledged the benefits of utilizing a digital healthcare system for managing GDM. However, there were differences in perspectives among these groups.

A Maternity Waiting Home Is an Alternative Approach for the Accessibility of Pregnant Women in an Obstetrically Underserved Area of Korea

BACKGROUND

We analyzed whether a maternity waiting home (MWH) for pregnant women in an obstetrically underserved area of Gangwon-do in Korea, which has been in operation since August 2018, has improved the accessibility of a maternity hospital and pregnancy outcomes.

METHODS

We compared and analyzed the accessibility of maternity hospitals for 170 pregnant women who applied for the MWH from August 2018 to May 2022. Among the 170 participants, 64 were MWH users and 106 non-users. The effect on pregnancy outcomes between MWH users and non-users was analyzed in the 160 people who achieved a pregnancy outcome.

RESULTS

Although the average distance and travel time from the pregnant women's residence in the obstetrically underserved area to a maternity hospital were 56.4 ± 1.6 km and 63.4 ± 1.4 minutes, respectively, the average distance between the MWH and the MWH users' maternity hospital was 2.7 ± 0.2 km, and the travel time was 10.7 ± 0.6 minutes. The distance was 55.6 km closer on average and the travel time 54.1 minutes shorter. MWH users gave birth at a significantly later gestation age (38.9 ± 0.2 vs. 38.3 ± 0.15 weeks, P = 0.024) and to infants with heavier birth weights (3,300 ± 60 vs. 3,100 ± 50 gm, P = 0.024) compared with non-users. The rate of Cesarean section was significantly higher in the MWH users (47.5% vs. 44.6%, P = 0.047). The MWH users tended to be associated with a lower rate of neonatal intensive care unit admission (5.1% vs. 11.0%, P = 0.204), lower birth weight (< 2.5 kg) (1.7% vs. 8.0%, P = 0.155), and lower fetal death rate in the uterus (0% vs. 1.0%, P = 1.0) compared with non-users, but the differences were not significant.

CONCLUSION

The MWH helped pregnant women in obstetrically underserved areas by improving accessibility to a maternity hospital and lengthening gestation. As a result, neonatal birth weight was heavier for MWH users than non-users. MWHs in Korea can provide an alternative way to improve accessibility to maternity healthcare for pregnant women in obstetrically underserved areas, where it is difficult to establish maternity hospitals, and thereby will improve their pregnancy outcomes.

Healthcare Policy Agenda for a Sustainable Healthcare System in Korea: Building Consensus Using the Delphi Method

BACKGROUND

The purpose of this study is to suggest priority tasks necessary for building a sustainable healthcare system in Korea based on the Delphi consensus among healthcare professionals.

METHODS

Twenty-five items covering the three categories that make up healthcare policy (healthcare demand, supply, and environment) were selected based on a literature evaluation. Email surveys were also analyzed using a two-round modified Delphi method. Of 59 experts, 21 completed the first and second rounds. Each item asked about the degree of importance and urgency, and the answers were rated on a 9-point Likert scale. A coefficient of variation less than 50% for each item in the Delphi survey meant that consensus was reached. Only items that meet a predetermined threshold are prioritized (agreement ≥ 90%, average importance score and urgency score ≥ 6.5).

RESULTS

Eight items that satisfy all three criteria were set as priorities for a sustainable healthcare system. These tasks are "Securing the financial soundness of the National Health Insurance (NHI)," "Solving the problem of low fertility," "Strengthening response to public health crises such as infectious or environmental diseases," "Bio-health technology innovation using D.N.A (Data, Network, AI)," "Intensive management of dementia patients," "Mental healthcare and suicide prevention," "Reform of the operation structure of the NHI Service," and "Reform the healthcare delivery system and payment system."

CONCLUSION

The eight items for which consensus was reached in this study should be prioritized for Korea's sustainable healthcare system. Health policy makers will need to put considerable effort into researching and establishing these priorities.

The causal effect of delivery volume on severe maternal morbidity: an instrumental variable analysis in Sichuan, China

Objective

Findings regarding the association between delivery volume and maternal health outcomes are mixed, most of which explored their correlation. This study aims to demonstrate the causal effect of delivery volume on severe maternal morbidity (SMM) in China.

Methods

We analysed all women giving birth in the densely populated Sichuan province with 83 million residents in China, during the fourth quarters of each of 4 years (from 2016 to 2019). The routinely collected discharge data, the health institutional annual report data and road network data were used for analysis. The maternal health outcome was measured by SMM. Instrumental variable (IV) methods were applied for estimation, while the surrounding average number of delivery cases per institution was used as the instrument.

Results

The study included 4545 institution-years of data from 1456 distinct institutions with delivery services, reflecting 810 049 associated delivery cases. The average SMM rate was approximately 33.08 per 1000 deliveries during 2016 and 2019. More than 86% of delivery services were provided by a third of the institutions with the highest delivery volume (≥143 delivery cases quarterly). In contrast, less than 2% of delivery services were offered by a third of the institutions with the lowest delivery volume (<19 delivery cases quarterly). After adjusting the confounders in the IV-logistic models, the average marginal effect of per 1000 cases in delivery volume was −0.162 (95% CI −0.169 to –0.155), while the adjusted OR of delivery volume was 0.005 (95% CI 0.004 to 0.006).

Conclusion

Increased delivery volume has great potential to improve maternal health outcomes, while the centralisation of delivery services might facilitate maternal health promotion in China. Our study also provides implications for other developing countries confronted with similar challenges to China.

Environmental factors in declining human fertility

A severe decline in child births has occurred over the past half century, which will lead to considerable population declines, particularly in industrialized regions. A crucial question is whether this decline can be explained by economic and behavioural factors alone, as suggested by demographic reports, or to what degree biological factors are also involved. Here, we discuss data suggesting that human reproductive health is deteriorating in industrialized regions. Widespread infertility and the need for assisted reproduction due to poor semen quality and/or oocyte failure are now major health issues. Other indicators of declining reproductive health include a worldwide increasing incidence in testicular cancer among young men and alterations in twinning frequency. There is also evidence of a parallel decline in rates of legal abortions, revealing a deterioration in total conception rates. Subtle alterations in fertility rates were already visible around 1900, and most industrialized regions now have rates below levels required to sustain their populations. We hypothesize that these reproductive health problems are partially linked to increasing human exposures to chemicals originating directly or indirectly from fossil fuels. If the current infertility epidemic is indeed linked to such exposures, decisive regulatory action underpinned by unconventional, interdisciplinary research collaborations will be needed to reverse the trends.