An immutable truth: planned home births in the United States result in avoidable adverse neonatal outcomes

Why do women choose home births

In recent years, the US has seen a significant rise in the rate of planned home births, with a 60 % increase from 2016 to 2023, reaching a total of 46,918. This trend positions the US as the leading developed country in terms of home birth prevalence. The American College of Obstetricians and Gynecologists (ACOG) suggests stringent criteria for selecting candidates for home births, but these guidelines have not been adopted by home birth midwives leading to poor outcomes including increased rates of neonatal morbidity and mortality. This paper explores the motivations behind choosing home births in the US despite the known risks. Studies highlight factors such as the desire for a more natural birth experience, previous negative hospital experiences, and the influence of the COVID-19 pandemic on perceptions of hospital safety. We provide new insights into why women choose home births by incorporating insights from Nobel laureate Daniel Kahneman's theories on decision-making, suggesting that cognitive biases may significantly influence these decisions. Kahneman's work provides a framework for understanding how biases and heuristics can lead to the underestimation of risks and overemphasis on personal birth experiences. We also provide recommendations ("nudges according to Richard Thaler") to help ensure women have access to clear, balanced information about home births. The development of this publication was assisted by OpenAI's ChatGPT-4, which facilitated the synthesis of literature, interpretation of data, and manuscript drafting. This collaboration underscores the potential of integrating advanced computational tools in academic research, enhancing the efficiency and depth of our analyses.

Predictors of planned home birth before and during the COVID-19 pandemic

OBJECTIVES

To determine how demographic and clinical predictors of home birth have changed since the onset of the COVID-19 pandemic in the US.

METHODS

Using National Vital Statistics birth certificate data, a retrospective population-based cohort study was performed with planned home births and hospital births among women age ≥18 years during calendar years 2019 (pre-pandemic) and 2021 (pandemic-era). Birth location (planned home birth vs. hospital birth) was analyzed using univariate and multivariable logistic regression, systematically examining the interaction of each demographic and clinical covariate with study year.

RESULTS

After exclusions, a total of 6,087,768 birth records were retained for analysis, with the proportion of home births increasing from 0.82 % in 2019 to 1.24 % in 2021 (p<0.001). In the final multivariable logistic regression model of planned home birth, five demographic variables retained a statistically significant interaction with year: race and ethnicity, age, educational attainment, parity, and WIC participation. In each case, demographic differences between those having planned home births and hospital births became smaller (odds ratios closer to 1) in 2021 compared to 2019.

CONCLUSIONS

Planned home births increased by more than 50 % during the pandemic, with greater socioeconomic diversity in the pandemic-era home birth cohort. The presence of clinical risk factors remained a strong predictor of hospital birth, with no evidence that pandemic-era home births had a higher clinical risk profile as compared to the pre-pandemic period.

Changes in attitudes to childbirth in modern times illustrated over three generations in Iraq

OBJECTIVE

To describe changes in attitudes and expectations of labor over the previous six decades, comparing the Iraqi generation who labored at home without medical assistance with their descendants.

STUDY DESIGN

We used semi-structured telephone interviews with 22 women across three generations of one extended family living and giving birth in Iraq between the 1950s and the 2010s. Qualitative data were analyzed thematically using open, axial, and selective coding.

RESULTS

Each generation experienced a paradigm shift in childbirth, from exclusive home births to hospital-directed maternity care, to a trend that favors planned cesarean birth, driven by generation-specific changes in outlook. Emerging themes included social influences, changing technology, and medical professionals' recommendations; all of these affected attitudes toward childbirth and pregnancy. There were generational disconnects in perceptions concerning the reasons childbirth has changed over the past 60 years, with the youngest generation citing wider pressures regarding body image and marital relationships as two of the factors affecting preferences in childbirth options.

CONCLUSIONS

Societal changes and availability of healthcare services affect women's choices and experiences of childbirth. To be successful, efforts to improve women's experiences in labor, as well as maternal and neonatal outcomes, must consider these wider sociocultural issues.

Anger: an underappreciated destructive force in healthcare

Anger is an emotional state that occurs when unexpected things happen to or around oneself and is "an emotional state that varies in intensity from mild irritation to intense fury and rage." It is defined as "a strong feeling of displeasure and usually of antagonism," an emotion characterized by tension and hostility arising from frustration, real or imagined injury by another, or perceived injustice. It can manifest itself in behaviors designed to remove the object of the anger (e.g., determined action) or behaviors designed merely to express the emotion. For the Roman philosopher Seneca anger is not an uncontrollable, impulsive, or instinctive reaction. It is, rather, the cognitive assent that such initial reactions to the offending action or words are in fact unjustified. It is, rather, the cognitive assent that such initial reactions to the offending action or words are in fact unjustified. It seems that the year 2022 was a year when many Americans were plainly angry. "Why is everyone so angry?" the New York Times asked in the article "The Year We Lost It." We believe that Seneca is correct in that anger is unacceptable. Anger is a negative emotion that must be controlled, and Seneca provides us with the tools to avoid and destroy anger. Health care professionals will be more effective, content, and happier if they learn more about Seneca's writings about anger and implement his wisdom on anger from over 2000 years ago.

Alternate Birth Strategies

Community birth is defined as birth that occurs outside the hospital setting. Birthing in a birth center can be safe for certain patient populations. Home birth can also be safe in well-selected patient with a well-established transfer infrastructure should an emergency occur. Unfortunately, many areas of the United States and the world do not have this infrastructure, limiting access to safe community birth. Immersion during labor has been associated with decreased need for epidural and pain medication. Delivery should not occur in water due to concerns for infection and cord avulsion. Umbilical cord non-severance (also called lotus birth) and placentophagy should be counseled against due to well-documented risks without clear benefit. Birth plans and options should be regularly discussed during pregnancy visits.

The exciting potential for ChatGPT in obstetrics and gynecology

Natural language processing-the branch of artificial intelligence concerned with the interaction between computers and human language-has advanced markedly in recent years with the introduction of sophisticated deep-learning models. Improved performance in natural language processing tasks, such as text and speech processing, have fueled impressive demonstrations of these models' capabilities. Perhaps no demonstration has been more impactful to date than the introduction of the publicly available online chatbot ChatGPT in November 2022 by OpenAI, which is based on a natural language processing model known as a Generative Pretrained Transformer. Through a series of questions posed by the authors about obstetrics and gynecology to ChatGPT as prompts, we evaluated the model's ability to handle clinical-related queries. Its answers demonstrated that in its current form, ChatGPT can be valuable for users who want preliminary information about virtually any topic in the field. Because its educational role is still being defined, we must recognize its limitations. Although answers were generally eloquent, informed, and lacked a significant degree of mistakes or misinformation, we also observed evidence of its weaknesses. A significant drawback is that the data on which the model has been trained are apparently not readily updated. The specific model that was assessed here, seems to not reliably (if at all) source data from after 2021. Users of ChatGPT who expect data to be more up to date need to be aware of this drawback. An inability to cite sources or to truly understand what the user is asking suggests that it has the capability to mislead. Responsible use of models like ChatGPT will be important for ensuring that they work to help but not harm users seeking information on obstetrics and gynecology.

The impact of birth settings on pregnancy outcomes in the United States

In the United States, 98.3% of patients give birth in hospitals, 1.1% give birth at home, and 0.5% give birth in freestanding birth centers. This review investigated the impact of birth settings on birth outcomes in the United States. Presently, there are insufficient data to evaluate levels of maternal mortality and severe morbidity according to place of birth. Out-of-hospital births are associated with fewer interventions such as episiotomies, epidural anesthesia, operative deliveries, and cesarean deliveries. When compared with hospital births, there are increased rates of avoidable adverse perinatal outcomes in out-of-hospital births in the United States, both for those with and without risk factors. In one recent study, the neonatal mortality rates were significantly elevated for all planned home births: 13.66 per 10,000 live births (242/177,156; odds ratio, 4.19; 95% confidence interval, 3.62-4.84; P<.0001) vs 3.27 per 10,000 live births for in-hospital Certified Nurse-Midwife-attended births (745/2,280,044; odds ratio, 1). These differences increased further when patients were stratified by recognized risk factors such as breech presentation, multiple gestations, nulliparity, advanced maternal age, and postterm pregnancy. Causes of the increased perinatal morbidity and mortality include deliveries of patients with increased risks, absence of standardized criteria to exclude high-risk deliveries, and that most midwives attending out-of-hospital births in the United States do not meet the gold standard for midwifery regulation, the International Confederation of Midwives' Global Standards for Midwifery Education. As part of the informed consent process, pregnant patients interested in out-of-hospital births should be informed of its increased perinatal risks. Hospital births should be supported for all patients, especially those with increased risks.