Maternal Migration Background and Mortality Among Infants Born Extremely Preterm.

Importance: Extremely preterm infants require care provided in neonatal intensive care units (NICUs) to survive. In the Netherlands, a decision is made regarding active treatment between 24 weeks 0 days and 25 weeks 6 days after consultation with the parents.

Objective: To investigate the association between maternal migration background and admissions to NICUs and mortality within the first year among extremely preterm infants.

Birth weight influences cardiac structure, function, and disease risk: evidence of a causal association.

Background And Aims: Low birth weight is a common pregnancy complication, which has been associated with higher risk of cardiometabolic disease in later life. Prior Mendelian randomization (MR) studies exploring this question do not distinguish the mechanistic contributions of variants that directly influence birth weight through the foetal genome (direct foetal effects), vs. variants influencing birth weight indirectly by causing an adverse intrauterine environment (indirect maternal effects).

Optimizing cardiovascular disease risk screening in a low-resource setting: cost-effectiveness of program modifications in Sri Lanka modelled with nationally representative survey data.

Background: While screening for cardiovascular disease (CVD) risk can help low-resource health systems deliver low-cost, effective prevention, evidence is needed to adapt international screening guidelines for maximal impact in local settings. We aimed to establish how the cost-effectiveness of CVD risk screening in Sri Lanka varies with who is screened, how risk is assessed, and what thresholds are used for prescription of medicines.

Methods: We used data for people aged 35 years and over from a 2018/19 nationally representative survey in Sri Lanka.

Overcoming attenuation bias in regressions using polygenic indices.

Measurement error in polygenic indices (PGIs) attenuates the estimation of their effects in regression models. We analyze and compare two approaches addressing this attenuation bias: Obviously Related Instrumental Variables (ORIV) and the PGI Repository Correction (PGI-RC). Through simulations, we show that the PGI-RC performs slightly better than ORIV, unless the prediction sample is very small (N < 1000) or when there is considerable assortative mating.

Income inequalities beyond access to mental health care: a Dutch nationwide record-linkage cohort study of baseline disease severity, treatment intensity, and mental health outcomes.

Background: Existing literature shows low and unequal access to mental health treatment globally, resulting in policy efforts to promote access for vulnerable groups. Yet, there is little evidence about how inequalities develop once individuals start treatment. The greater use of mental health care among individuals with low income, such as in the Dutch system, might be driven by differences in need and might not necessarily lead to better treatment outcomes.

Caring for relations and organizational success-conceptualization of an Augustinian leadership scale.

While making great strides in recent decades to connect leadership and human flourishing, the positive leadership literature has yet to focus on the aspect of the communal. Based on a close reading of Augustine's works, this paper examines Augustinian leadership and emphasizes the importance of a view on leadership that aims at community building and contains an ethical framework characterized by veracity. This leadership style is founded on (Gr.

Maternal hypertensive traits and adverse outcome in pregnancy: a Mendelian randomization study.

Introduction: Hypertensive disorders of pregnancy are associated with adverse feto-maternal outcomes. Existing evidence is mostly limited to observational studies, which are liable to confounding and bias. This study investigated the causal relevance of component hypertensive indices on multiple adverse pregnancy outcomes using Mendelian randomization.

Performance metrics for models designed to predict treatment effect.

Background: Measuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative treatments are inherently unobservable in one patient. The C-for-benefit was proposed to measure discriminative ability. However, measures of calibration and overall performance are still lacking.

Childhood Immunization and Competing Mortality Risks in Kenya: A Longitudinal Analysis for Multiparous Mothers.

Objective: To assess the relationship between childhood immunization and mortality risks for nonvaccine-preventable diseases (competing mortality risks, or CMR) in Kenya.

Study Design: A combination of the Global Burden of Disease and Demographic Health Survey data was used to measure basic vaccination status, CMR, and control variables for each child in the Demographic Health Survey data. A longitudinal analysis was performed.

Surgeon supply and healthcare quality: Are revision rates for hip and knee replacements lower in hospitals that employ more surgeons?

We study the link between department-wide surgeon supply and quality of care for two major elective medical procedures. Several countries have adopted policies to concentrate medical procedures in high-volume hospitals. While higher patient volumes might translate to higher quality, we provide evidence for a positive relationship between surgeon supply and hospital revision rates for hip and knee replacement surgery.

Reducing socioeconomic health inequalities? A questionnaire study of majorization and invariance conditions.

We study the appeal of basic preference conditions that underpin health inequality indices, including the widely used concentration index. We did a lab experiment in which 349 respondents had to choose repeatedly between two policies that generated a distribution of income and health among five groups in society. We found stronger support for preference conditions that focus on inequality in the marginal distribution of health (and income) than for preference conditions that favor reduced correlation between both dimensions.

Narrative-based learning for person-centred healthcare: the Caring Stories learning framework.

This paper describes the learning framework for an innovative narrative-based training platform for healthcare professionals based on older patients' narratives. The aim of Caring Stories is to place patients' desires and needs at the heart of healthcare and by doing so to promote person-centred care (PCC). It is argued that this narrative-based approach to training in healthcare education will provide professionals from different fields with competencies to better understand how to interpret the lifeworlds of older people, as well as facilitate better communication and navigation through increasingly complex care trajectories.

How overconfidence bias influences suboptimality in perceptual decision making.

In perceptual decision making, it is often found that human observers combine sensory information and prior knowledge suboptimally. Typically, in detection tasks, when an alternative is a priori more likely to occur, observers choose it more frequently to account for the unequal base rate but not to the extent they should, a phenomenon referred to as "conservative decision bias" (i.e.

Effects of performance-based capitation payment on the use of public primary health care services in Indonesia.

The Indonesian national health insurance agency BPJS Kesehatan, the largest single-payer system in the world, is among the first to combine capitation-based payments with performance-based financing. The Kapitasi Berbasis Komitmen (KBK) scheme for puskesmas (community health centres) was implemented in province capitals between August 2015 and May 2016. Its main goal was to incentivize the substitution of secondary by primary care use.

Examining neighborhood effects on mental health utilizing a novel two-stage modeling approach.

Purpose: Neighborhood conditions may affect health, but health may also determine a preference for where to live. This study estimates the effect of neighborhood characteristics on mental health while aiming to adjust for this residential self-selection.

Methods: A two-step method was implemented using register data from Statistics Netherlands from all residents of the city of Rotterdam relocating within the city in 2013 (N = 12,456).

Risk factor contributions to socioeconomic inequality in cardiovascular risk in the Philippines: a cross-sectional study of nationally representative survey data.

Background: Primary prevention of cardiovascular diseases (CVD) increasingly relies on monitoring global CVD risk scores. Lack of evidence on socioeconomic inequality in these scores and the contributions that specific risk factors make to this inequality impedes effective targeting of CVD prevention. We aimed to address this evidence gap by measuring and decomposing socioeconomic inequality in CVD risk in the Philippines.

Sociodemographic and geographic inequalities in diagnosis and treatment of older adults' chronic conditions in India: a nationally representative population-based study.

Context: Expeditious diagnosis and treatment of chronic conditions are critical to control the burden of non-communicable disease in low- and middle-income countries. We aimed to estimate sociodemographic and geographic inequalities in diagnosis and treatment of chronic conditions among adults aged 45 + in India.

Methods: We used 2017-18 nationally representative data to estimate prevalence of chronic conditions (hypertension, diabetes, lung disease, heart disease, stroke, arthritis, cholesterol, and neurological) reported as diagnosed and percentages of diagnosed conditions that were untreated by sociodemographic characteristics and state.

Rank concordance of polygenic indices.

Polygenic indices (PGIs) are increasingly used to identify individuals at risk of developing disease and are advocated as screening tools for personalized medicine and education. Here we empirically assess rank concordance between PGIs created with different construction methods and discovery samples, focusing on cardiovascular disease and educational attainment. We find Spearman rank correlations between 0.

Sex-Specific Reproductive Factors Augment Cardiovascular Disease Risk in Women: A Mendelian Randomization Study.

Background Observational studies suggest that reproductive factors are associated with cardiovascular disease, but these are liable to influence by residual confounding. This study explores the causal relevance of reproductive factors on cardiovascular disease in women using Mendelian randomization. Methods and Results Uncorrelated (<0.

The identification of mediating effects using genome-based restricted maximum likelihood estimation.

Mediation analysis is commonly used to identify mechanisms and intermediate factors between causes and outcomes. Studies drawing on polygenic scores (PGSs) can readily employ traditional regression-based procedures to assess whether trait M mediates the relationship between the genetic component of outcome Y and outcome Y itself. However, this approach suffers from attenuation bias, as PGSs capture only a (small) part of the genetic variance of a given trait.

Association of Hypertensive Disorders of Pregnancy With Future Cardiovascular Disease.

Conclusions And Relevance: The findings of this study provide genetic evidence supporting an association between HDPs and higher risk of coronary artery disease and stroke, which is only partially mediated by cardiometabolic factors. This supports classification of HDPs as risk factors for cardiovascular disease.

Design, Setting, And Participants: A genome-wide genetic association study using mendelian randomization (MR) was performed from February 16 to March 4, 2022.

Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment.

Background And Objectives: Case 2 best-worst scaling (BWS-2) is an increasingly popular method to elicit patient preferences. Because BWS-2 potentially has a lower cognitive burden compared with discrete choice experiments, the aim of this study was to compare treatment preference weights and relative importance scores.

Methods: Patients with neuromuscular diseases completed an online survey at two different moments in time, completing one method per occasion.

Has COVID-19 increased inequality in mortality by income in the Netherlands?

Background: In the Netherlands in 2020, COVID-19 deaths were more concentrated among individuals with a lower income. At the same time, COVID-19 was a new cause that also displaced some deaths from other causes, potentially reducing income-related inequality in non-COVID deaths. Our aim is to estimate the impact of the COVID-19 pandemic on the income-related inequality in total mortality and decompose this into the inequality in COVID-attributed deaths and changes in the inequality in non-COVID causes.