An ecological comparison to inspect the aftermath of post COVID-19 condition in Italy and the United States.

Post COVID-19 Condition (PCC) is a clinical syndrome following COVID-19 disease. PCC symptoms in adults entail significant productivity loss and reduced quality of life. This study aimed at estimating the epidemiological and economic burden of PCC among the working-age population of Italy and the US. This ecological analysis was conducted on data from January 2020 to April 2023, regarding population aged 18-64. PCC incidence for the US was retrieved from publicly reported estimates, while for Italy it was estimated from COVID-19 cases. Prevalence of factors associated with PCC and parameters to calculate temporary productivity losses (TPL) were retrieved. An estimated incidence rate ratio (eIRR) of PCC incidence in Italy and the US was calculated. TPL for reduced earnings and total quality-adjusted life years (QALYs) lost were also estimated. The ecological eIRR Italy/US was 0.842 [95%CI 0.672-1.015], suggesting that, holding COVID-19 cases constant, 15.8% fewer PCC cases have occurred in Italy compared to the US. Overall PCC cases were found to be 12.0 [95%CI 9.9-14.1] million in the US, with 1.9 [95%CI 1.6-2.3] million QALYs lost, and 2.4 [95%CI 1.8-3.0] million in Italy, with 0.4 [95%CI 0.3-0.5] million QALYs lost. Up to April 2023, the TPL was estimated to be Int$7.5 [95%CI 5.8-10.1] billion in Italy and $41.5 [95%CI 34.3-48.7] billion in the US. PCC has had a significant epidemiological and economic impact on the working-age population. The findings from this study may be of use for health planning and policy regarding PCC in working-age adults.

AI-based epidemic and pandemic early warning systems: A systematic scoping review.

Background: Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) can identify patterns in data that signal the onset of epidemics and pandemics. This scoping review examines the effectiveness of AI in epidemic and pandemic early warning systems (EWS). Objective: To assess the capability of AI-based systems in predicting epidemics and pandemics and to identify challenges and strategies for improvement. Methods: A systematic scoping review was conducted. The review included studies from the last 5 years, focusing on AI and machine learning applications in EWS. After screening 1087 articles, 33 were selected for thematic analysis. Results: The review found that AI-based EWS have been effectively implemented in various contexts, using a range of algorithms. Key challenges identified include data quality, model explainability, bias, data volume, velocity, variety, availability, and granularity. Strategies for mitigating AI bias and improving system adaptability were also discussed. Conclusion: AI has shown promise in enhancing the speed and accuracy of epidemic detection. However, challenges related to data quality, bias, and model transparency need to be addressed to improve the reliability and generalizability of AI-based EWS. Continuous monitoring and improvement, as well as incorporating social and environmental data, are essential for future development.

"Lives versus livelihoods": Conflict and coherence between policy objectives in the COVID-19 pandemic.

Many policies were put in place during the COVID-19 pandemic in the United States to manage the negative impact of the coronavirus. Limiting severe illness and death was one important objective of these policies, but it is widely acknowledged by public health ethicists that pandemic policies needed to consider other factors. Drawing on semi-structured interviews with 38 people across 17 states who participated in the state-level COVID-19 pandemic policy process, we examine how those actors recounted their engagement with four different objectives over the course of the pandemic: protecting public health with respect to COVID-19 (which we refer to as pathogen-focused disease prevention), protecting the economy, promoting the public's broader health and wellbeing, and preserving and restoring individual freedoms. We describe the different ways that pathogen-focused disease prevention was thought to have conflicted with, or to have been coherent with, the other three policy objectives over the course of the pandemic. In tracing the shifting relationships between objectives, we highlight four reasons put forward by the participants for why policy changes occurred throughout the pandemic: a change on the part of decisionmaker(s) regarding the perceived acceptability of the negative effects of a policy on one or more policy objectives; a change in the epistemic context; a change in the 'tools in the toolbox'; and a change in the public's attitudes that affected the feasibility of a policy. We conclude by considering the ethical implications of the shifting relationships that were described between objectives over the course of the pandemic.

Halting and re-issuing of the Zambia community health strategy (2017-2021): a retrospective analysis of the policy process and implications for community health systems.

BACKGROUND: Over the years, low-and middle-income countries have adopted several policy initiatives to strengthen community health systems as means to attain Universal Health Coverage (UHC). In this regard, Zambia passed a Community Health Strategy in 2017 that was later halted in 2019. This paper explores the processes that led to the halting and re-issuing of this strategy with the view of drawing lessons to inform the development of such strategies in Zambia and other similar settings. METHODS: We employed a qualitative case study comprising 20 semi-structured interviews with key stakeholders who had participated in either the development, halting, or re-issuing of the two strategies, respectively. These stakeholders represented the Ministry of Health, cooperating partners and other non-government organizations. Inductive thematic analysis approach was used for analysis. RESULTS: The major reasons for halting and re-issuing the community health strategy included the need to realign it with the national development framework such as the 7th National Development Plan, lack of policy ownership, political influence, and the need to streamline the coordination of community health interventions. The policy process inadequately addressed the key tenets of community health systems such as complexity, adaptation, resilience and engagement of community actors resulting in shortcomings in the policy content. Furthermore, the short implementation period, lack of dedicated staff, and inadequate engagement of stakeholders from other sectors threatened the sustainability of the re-issued strategy. CONCLUSION: This study underscores the complexity of community health systems and highlights the challenges these complexities pose to health policymaking efforts. Countries that embark on health policymaking for community health systems must reflect on issues such as persistent fragmentation, which threaten the policy development process. It is crucial to ensure that these complexities are considered within similar policy engagement processes.

The impact of health insurance on hypertension care: a household fixed effects study in India.

INTRODUCTION: Hypertension is highly prevalent in India, but the proportion of patients achieving blood pressure control remains low. Efforts have been made to expand health insurance coverage nationwide with the aim of improving overall healthcare access. It is critical to understand the role of health insurance coverage in improving hypertension care. METHODS: We used secondary data from the nationally representative sample of adults aged 15-49 years from the 2015-2016 National Family Health Survey (NFHS) in India. We defined the hypertension care cascade as four successive steps of (1) screened, (2) diagnosed, (3) treated, and (4) controlled, and operationalized these variables using blood pressure measurements and self-reports. We employed household fixed effect models that conceptually matched people with and without insurance within the household, to estimate the impact of insurance coverage on the likelihood of reaching each care cascade step, while controlling for a wide range of additional individual-level variables. RESULTS: In all 130,151 included individuals with hypertension, 20.4% reported having health insurance. For the insured hypertensive population, 79.8% (95% Confidence Interval: 79.3%-80.3%) were screened, 49.6% (49.0%-50.2%) diagnosed, 14.3% (13.9%-14.7%) treated, and 7.9% (7.6%-8.2%) controlled, marginally higher than the percentages for the uninsured 79.8% (79.5%-80.0%), 48.2% (47.9%-48.6%), 13.3% (13.1%-13.5%), and 7.5% (7.4%-7.7%) for each cascade step, respectively. From the household fixed effects model, health insurance did not show significant impact on the hypertension care cascade, with the estimated relative risks of health insurance 0.97 (0.93-1.02), 0.97 (0.91-1.03), 0.95 (0.77-1.30), and 0.97 (0.65-1.10) for each cascade step, respectively. We further performed stratified analyses by sociodemographic and behavioral risk factors and a sensitivity analysis with district fixed effects, all of which yielded results that confirmed the robustness of our main findings. CONCLUSIONS: Health insurance did not show significant impact on improving hypertension care cascade among young and middle-aged adults with hypertension in India. Innovative strategies for overcoming practical barriers to healthcare services in addition to improving financial access are needed to address the large unmet need for hypertension care.

Understanding epidemic spread patterns: a visual analysis approach.

Epidemics present significant challenges for public health policy globally, but current tools for visualizing and analyzing epidemic spread are limited, especially at a large scale. This paper presents a novel visual analysis approach for exploring and comparing pandemic patterns in spatial and temporal dimensions across various regions. The method incorporates a potential flow technique to model the spatiotemporal dynamics of epidemics and a visual exploration tool, EPViz, for interactive data analysis. Utilizing COVID-19 data from Illinois and Pennsylvania in the United States, the paper evaluates the method and tool's effectiveness. These states were chosen for their differing epidemic scenarios and policies. Additionally, interviews with public health policy experts were conducted to gather feedback on the approach and EPViz's effectiveness, design, and usability. The findings indicate that this new approach and tool enhance expert understanding, support decision-making, and can inform effective strategies for epidemic prevention and control.

The expansion of gambling across the Americas poses risks to mental health and wellbeing.

The Americas are facing a significant burden of mental health conditions. The Pan American Health Organisation's regional Strategy for Improving Mental Health and Suicide Prevention is an important milestone in tackling this challenge. However, absence of any focus on gambling as a potential risk to the health and wellbeing represents a serious omission in the Strategy. In this viewpoint, we review existing scholarship demonstrating unequivocal links between gambling and a variety of mental health conditions and related harms. This is followed by an empirically-grounded discussion of how commercial gambling has recently rapidly expanded across the region and how the risks of this expansion have not been sufficiently considered at the policy level. We then present emerging regional evidence of the negative mental health impacts of gambling expansion. The review concludes by proposing possible policy actions to improve control over the gambling industry and reduce ensuing harms on mental health and wellbeing in the region, with a focus on PAHO's remit.

Towards Accountable E-Health Policies in the Nordic Countries.

The Nordic Countries are seen as forerunners in the field of digital health technologies and national implementation has been guided by sector specific strategies for many years. In the context of new European legislation such as the European Health Data Space (EHDS), a review of the existing strategies is indicated. The objective of this policy analysis is to assess and compare the scope, ambitions and extent of accountability in national-level digital health policies in the Nordic countries. The scope of the policies from the five countries were largely centred around a) empowering and activating citizens; b) a shift towards prevention and digital first; c) supporting health operations; d) doing the groundwork; e) making health data more available in research and innovation workflows and f) supporting health personnel. Finland comes out as the most ambitious country with the aim to transform their health system by means of digitalisation. Both Finland and Iceland work towards prevention and the digital first ambition due to large populations in rural areas. These two countries also present the most accountable policies, meaning that their policy documents are the most transparent as to how they arrived at the conclusions and how they are to evaluate the achievements.

Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs.

This study investigates the forecasting of cardiovascular mortality trends in Greece's elderly population. Utilizing mortality data from 2001 to 2020, we employ two forecasting models: the Autoregressive Integrated Moving Average (ARIMA) and Facebook's Prophet model. Our study evaluates the efficacy of these models in predicting cardiovascular mortality trends over 2020-2030. The ARIMA model showcased predictive accuracy for the general and male population within the 65-79 age group, whereas the Prophet model provided better forecasts for females in the same age bracket. Our findings emphasize the need for adaptive forecasting tools that accommodate demographic-specific characteristics and highlight the role of advanced statistical methods in health policy planning.

Pressing issues for oral care quality improvement: findings from the EU DELIVER project.

BACKGROUND: While oral health often takes a backseat to other health domains, it silently affects nearly half of the Worldwide population. The DELIVER project, funded by the EU's Horizon Europe program, seeks to develop a blueprint model for improving the quality of oral health care for everyone. METHODS: Applying the Nominal Group Technique (NGT), 17 stakeholders from various backgrounds participated in identifying pressing issues for oral care quality improvement across practice, community, and policy levels. RESULTS: The results revealed significant differences at the different levels, with accessibility emerging as a prominent issue, encompassing affordability, availability, and acceptability of oral healthcare services. CONCLUSIONS: These findings emphasizes the need for policy reforms, increased investments, and a shift towards preventive and patient-centered dental care practices. It highlights the importance of collaborative efforts with multi-stakeholders and prioritizing pressing issues on a multi-level to drive positive change in improving oral care quality.

Impact of federal antipsychotic use policy in nursing homes on new diagnoses for approved indications in dementia residents.

BACKGROUND: Federal policies targeting antipsychotic use among nursing home (NH) residents may have increased reporting of diagnoses for approved uses, including schizophrenia, Tourette's syndrome, and Huntington's Disease (called "exclusionary diagnoses" because they exclude residents from the antipsychotic quality metric). We assessed changes in new exclusionary diagnoses among long-stay NH admissions specifically with dementia following federal policies. METHODS: Retrospective, quarterly, interrupted time-series analysis (2009-2018) of new long-stay NH residents with dementia and no exclusionary diagnoses reported before NH admission. The National Partnership and the addition of facility level antipsychotic use to the Five Star Quality Rating system were key time exposures. Outcome was quarterly facility level predicted percentage of exclusionary diagnoses within 2 years of admission stratified by NH characteristics. RESULTS: For 264,095 long-stay admissions, mean percentage of new exclusionary diagnoses was 2.2% before the Partnership. After the Partnership, there was an unadjusted increase in the percentage over time (slope change, 0.044, p = 0.018), but the percentage never exceeded 2.9%. The Partnership contributed to a one-time decrease in diagnoses in NHs with an intermediate percentage of Black residents (-1.29%, p = 0.004). Before the Partnership, diagnoses were increasing among not-for-profit relative to for-profit NHs (0.044; p = 0.012), but after the Partnership, the pattern reversed. For-profit NHs saw an increase (+0.034, p = 0.002); not-for-profit NHs experienced a decrease (-0.014, p = 0.039). Quality Rating modifications had no significant effect. CONCLUSIONS: Exclusionary diagnosis reporting among long-stay NH residents with dementia, the group most at risk from antipsychotics, did not increase in response to federal policies. Evaluation of reasons for the observed increase in exclusionary diagnoses among non-dementia NH residents is warranted along with continued attention to how to incentivize the appropriate use of medications in residents with dementia that is crucial for high-quality NH care.

Artificial intelligence integration in the drug lifecycle and in regulatory science: policy implications, challenges and opportunities.

Artificial intelligence tools promise transformative impacts in drug development. Regulatory agencies face challenges in integrating AI while ensuring reliability and safety in clinical trial approvals, drug marketing authorizations, and post-market surveillance. Incorporating these technologies into the existing regulatory framework and agency practices poses notable challenges, particularly in evaluating the data and models employed for these purposes. Rapid adaptation of regulations and internal processes is essential for agencies to keep pace with innovation, though achieving this requires collective stakeholder collaboration. This article thus delves into the need for adaptations of regulations throughout the drug development lifecycle, as well as the utilization of AI within internal processes of medicine agencies.

Landscape analysis of the Kenyan policy on the treatment and prevention of diarrheal disease among under-5 children.

OBJECTIVE: Diarrhoea remains a leading cause of morbidity and death among under-5 children in Kenya, despite multipronged policy and programme initiatives to increase access to treatment. This study interrogates the comprehensiveness and adequacy of Kenya's policies, frameworks and action plans for diarrheal management and prevention. The study seeks to identify policy and practice gaps that need to be filled to strengthen diarrhoea treatment and prevention among under-5 children in Kenya. DESIGN: Our study is a landscape analysis, which seeks to identify the gaps in the current Kenya diarrheal policy, frameworks and action plans. The critical questions included their comprehensiveness, the availability of elaborate treatment, management and prevention solutions, together with updatedness, building on evidence from extant literature on key pathways to infection relating to man-animal environmental interaction, which are critical in enteric infection prevention initiatives. DATA SOURCES: We conducted an internet search of databases of Government of Kenya's Ministry of Health; relevant websites/publications of international organisations and groups (Centre for Disease Control and Prevention, UNICEF and WHO) and published and grey literature (Google searches, Google Scholar and PubMed). ELIGIBILITY CRITERIA: Included are publicly available key national diarrheal policy frameworks, plans, strategies, laws, institutional frameworks and operational guidelines that inform pertinent questions on the adequacy of policy and practice and preventive policy updates and actions. Further, peer-reviewed and grey literature on diarrheal morbidity and mortality and diarrheal prevention and management are included. The analysis excluded any information that was not referenced on the internet nor obtained from the internet. DATA EXTRACTION AND SYNTHESIS: The review team extracted the key provisions of the policy guidelines guided by a checklist and questions around the adequacy of existing national policies in addressing the determinants, prevention and treatment interventions of enteric infections and diarrhoea among under-5 children in the country. The checklist covered Kenyan background and diarrhoea situation analysis, policy objectives, policy strategies and policy implementation. RESULTS: The analysis identified a corpus of strategies for the management of diarrhoea at multiple levels: health facilities, communities and households. The policies highlighted advocacy, health communication and social mobilisation, as well as logistics management and prevention strategies. However, the triangulation of evidence from the policy provisions and extant literature identified critical policy gaps in diarrhoea prevention and management in Kenya, particularly the lack of focus on zoonotic pathways to enteric infection, environment-pathogen linkages and operationalisation of the roles of social determinants of health and related services. The policy documents had limited focus on rapid diagnosis, vaccine development and deployment, together with weak funding commitment towards implementation and unclear pathways to funding responsibilities. CONCLUSION: Policies are central to guiding programmatic actions towards effective enteric and diarrhoea prevention and management measures in Kenya. This study shows the need for policy updates to reflect pathways to enteric infections not covered in the current policy guidelines. Further, there is a need to strengthen the treatment and management of infection through rapid diagnosis, vaccine development and deployment, and strong funding commitment towards implementation together with clear funding responsibilities. Together, these will be vital in strengthening the current policy provisions and addressing other pathways to the prevention of enteric infections relating to zoonotic, environment-pathogen linkages and social determinants of health in Kenya and other low-income and middle-income countries. TRIAL REGISTRATION NUMBER: NCT05322655.

Mapping the existing evidence of the effects of school food policies on health, acceptance and affordability of secondary school children in Europe: a scoping review protocol.

INTRODUCTION: Unhealthy diets pose a significant public health risk among European children, contributing to the increasing prevalence of overweight and non-communicable diseases. Children spend a substantial amount of time at school daily, including lunchtime, so the school setting becomes crucial for promoting healthy diets and lifestyle habits. While there is a large body of literature on the impact of school food policies on health and non-health outcomes, it is essential to identify which policies are effective and can be recommended for implementation to ensure the efficient use of resources. This article presents a protocol for a scoping review that aims to map the current published literature on the effects of school food policies on health outcomes, acceptance and affordability in secondary school children in Europe. Moreover, the scoping review will map the measurements used to assess health outcomes, acceptance and affordability. METHODS AND ANALYSIS: The scoping review protocol and review follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review. To identify eligible studies, we will search MEDLINE, PsycINFO, CINAHL and Web of Science. The reference lists of the included articles will be checked for additional studies. In addition, country-specific ministry reports from Member States of the European Union, the UK, Norway, Iceland and Switzerland will be identified. The WHO and European Commission websites will also be searched for relevant reports. The scoping review will include literature published until 20 September 2023. No restrictions to study design and language will be applied. Screening and data extraction will be carried out independently by three reviewers. Disagreements will be resolved by discussion. A pretested data charting table will be used to extract key information. Findings will be presented in tabular and visualised summaries and a narrative summary. ETHICS AND DISSEMINATION: This scoping review does not require ethical approval. Our dissemination strategy comprises peer-reviewed publications, conference presentations and recommendations to policy-makers.

Adverse events and perceived abandonment: learning from patients' accounts of medical mishaps.

BACKGROUND: Adverse medical events affect 10% of American households annually, inducing a variety of harms and attitudinal changes. The impact of adverse events on perceived abandonment by patients and their care partners has not been methodically assessed. OBJECTIVE: To identify ways in which providers, patients and families responded to medical mishaps, linking these qualitatively and statistically to reported feelings of abandonment and sequelae induced by perceived abandonment. METHODS: Mixed-methods analysis of responses to the Massachusetts Medical Errors Recontact survey with participants reporting a medical error within the past 5 years. The survey consisted of forty closed and open-ended questions examining adverse medical events and their consequences. Respondents were asked whether they felt 'that the doctors abandoned or betrayed you or your family'. Open-ended responses were analysed with a coding schema by two clinician coders. RESULTS: Of the 253 respondents, 34.5% initially and 20% persistently experienced abandonment. Perceived abandonment could be traced to interactions before (18%), during (34%) and after (45%) the medical mishap. Comprehensive post-incident communication reduced abandonment for patients staying with the provider associated with the mishap. However, 68.4% of patients perceiving abandonment left their original provider; for them, post-error communication did not increase the probability of resolution. Abandonment accounted for half the post-event loss of trust in clinicians. LIMITATIONS: Survey-based data may under-report the impact of perceived errors on vulnerable populations. Moreover, patients may not be cognizant of all forms of adverse events or all sequelae to those events. Our data were drawn from a single state and time period. CONCLUSION: Addressing the deleterious impact of persisting abandonment merits attention in programmes responding to patient safety concerns. Enhancing patient engagement in the aftermath of an adverse medical event has the potential to reinforce therapeutic alliances between patients and their subsequent clinicians.

Economic evaluation of GnRH-agonist long protocol and GnRH-antagonist protocol in IVT/ICSI among the Chinese population: using pharmacoeconomic models.

OBJECTIVE: This paper uses health economics methods to discuss the cost-effectiveness value of long protocol and antagonist protocol for in vitro fertilisation and embryo transfer (ET) in the Chinese population. DESIGN: Health economic evaluation study. SETTING: The data needed to construct the model for this study were derived from published studies and other secondary sources in China. PARTICIPANTS: No patients participated in the study. MEASURES: The main outcomes were live birth rate (LBR) and cost. From the societal perspective, we considered the direct and indirect costs over the course of the treatment cycles. A cost-effectiveness was measured using the incremental cost-effectiveness ratio and the probability that a protocol has higher net monetary benefit. Sensitivity analysis was carried out to verify the reliability of the simulation results. RESULTS: For the Chinese population, the long protocol resulted in a higher LBR than the antagonist protocol (29.33% vs 20.39%), but at the same time, it was more expensive (ï¿¥29 146.26 (US$4333.17) vs ï¿¥23 343.70 (US$3470.51)), in the case of considering only one fresh ET cycle. It was the same when considering subsequent frozen ET (FET) cycles (51.78% vs 42.81%; ï¿¥30 703.02 (US$4564.62) vs ï¿¥24 740.95 (US$3678.24)). The results of most subgroups were consistent with the results of the basic analysis. However, for certain populations, the long protocol was the inferior protocol (less effective and more expensive). CONCLUSION: For the Chinese population, when the monetary value per live birth was greater than ï¿¥65 420 (US$9726) and ï¿¥66 400 (US$9872), respectively, considering only one fresh cycle and considering subsequent frozen cycles, the long protocol is the preferred protocol. This threshold also varies for women of different ages and ovarian response capacities. For women in POSEIDON (Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number) group 2, group 3 and group 4, antagonist protocol is recommended as the preferred protocol. The results of this study need to be verified by further large-scale randomised controlled trials.

Changes in payer mix of new and established trauma centers: the new trauma center money grab?

Background: Although timely access to trauma center (TC) care for injured patients is essential, the proliferation of new TCs does not always improve outcomes. Hospitals may seek TC accreditation for financial reasons, rather than to address community or geographic need. Introducing new TCs risks degrading case and payer mix at established TCs. We hypothesized that newly accredited TCs would see a disproportionate share of commercially insured patients. Study design: We collected data from all accredited adult TCs in Pennsylvania using the state trauma registry from 1999 to 2018. As state policy regarding supplemental reimbursement for underinsured patients changed in 2004, we compared patient characteristics and payer mix between TCs established before and after 2004. We used multivariable logistic regression to assess the relationship between payer and presentation to a new versus established TC in recent years. Results: Over time, there was a 40% increase in the number of TCs from 23 to 38. Of 326 204 patients from 2010 to 2018, a total of 43 621 (13.4%) were treated at 15 new TCs. New TCs treated more blunt trauma and less severely injured patients (p<0.001). In multivariable analysis, patients presenting to new TCs were more likely to have Medicare (OR 2.0, 95% CI 1.9 to 2.1) and commercial insurance (OR 1.6, 95% CI 1.5 to 1.6) compared with Medicaid. Over time, fewer patients at established TCs and more patients at new TCs had private insurance. Conclusions: With the opening of new centers, payer mix changed unfavorably at established TCs. Trauma system development should consider community and regional needs, as well as impact on existing centers to ensure financial sustainability of TCs caring for vulnerable patients. Level of evidence: Level III, prognostic/epidemiological.

Choosing a maternity hospital: a matter of travel distance or quality of care?

BACKGROUND: The choice of a hospital should be based on individual need and accessibility. For maternity hospitals, this includes known or expected risk factors, the geographic accessibility and level of care provided by the hospital. This study aims to identify factors influencing hospital choice with the aim to analyze if and how many deliveries are conducted in a risk-appropriate and accessible setting in Bavaria, Germany. METHODS: This is a cross-sectional secondary data analysis based on all first births in Bavaria (2015-18) provided by the Bavarian Quality Assurance Institute for Medical Care. Information on the mother and on the hospital were included. The Bavarian Index of Multiple Deprivation 2010 was used to account for area-level socioeconomic differences. Multiple logistic regression models were used to estimate the strength of association of the predicting factors and to adjust for confounding. RESULTS: We included 195,087 births. Distances to perinatal centers were longer than to other hospitals (16 km vs. 12 km). 10% of women with documented risk pregnancies did not deliver in a perinatal center. Regressions showed that higher age (OR 1.03; 1.02-1.03 95%-CI) and risk pregnancy (OR 1.44; 1.41-1.47 95%-CI) were associated with choosing a perinatal center. The distances travelled show high regional variation with a strong urban-rural divide. CONCLUSION: In a health system with free choice of hospitals, many women chose a hospital close to home and/or according to their risks. However, this is not the case for 10% of mothers, a group that would benefit from more coordinated care.