A network correspondence toolbox for quantitative evaluation of novel neuroimaging results.

Decades of neuroscience research has shown that macroscale brain dynamics can be reliably decomposed into a subset of large-scale functional networks, but the specific spatial topographies of these networks and the names used to describe them can vary across studies. Such discordance has hampered interpretation and convergence of research findings across the field. To address this problem, we have developed the Network Correspondence Toolbox (NCT) to permit researchers to examine and report spatial correspondence between their novel neuroimaging results and sixteen widely used functional brain atlases, consistent with recommended reporting standards developed by the Organization for Human Brain Mapping. The atlases included in the toolbox show some topographical convergence for specific networks, such as those labeled as default or visual. Network naming varies across atlases, particularly for networks spanning frontoparietal association cortices. For this reason, quantitative comparison with multiple atlases is recommended to benchmark novel neuroimaging findings. We provide several exemplar demonstrations using the Human Connectome Project task fMRI results and UK Biobank independent component analysis maps to illustrate how researchers can use the NCT to report their own findings through quantitative evaluation against multiple published atlases. The NCT provides a convenient means for computing Dice coefficients with spin test permutations to determine the magnitude and statistical significance of correspondence among user-defined maps and existing atlas labels. The NCT also includes functionality to incorporate additional atlases in the future. The adoption of the NCT will make it easier for network neuroscience researchers to report their findings in a standardized manner, thus aiding reproducibility and facilitating comparisons between studies to produce interdisciplinary insights.

Postpartum Primary Care Engagement Using Default Scheduling and Tailored Messaging: A Randomized Clinical Trial.

Importance: More than 30% of pregnant people have at least 1 chronic medical condition, and nearly 20% develop gestational diabetes or pregnancy-related hypertension, increasing the risk of future chronic disease. While these individuals are often monitored closely during pregnancy, they face major barriers when transitioning to primary care following delivery, due in part to a lack of health care support for this transition. Objective: To evaluate the impact of an intervention designed to improve postpartum primary care engagement by reducing patient administrative burden and information gaps. Design, Setting, and Participants: An individual-level randomized clinical trial was conducted from November 3, 2022, to October 11, 2023, at 1 hospital-based and 5 community-based outpatient obstetric clinics affiliated with a large academic medical center. Participants included English- and Spanish-speaking pregnant or recently postpartum adults with obesity, anxiety, depression, diabetes, chronic hypertension, gestational diabetes, or pregnancy-related hypertension and a primary care practitioner (PCP) listed in their electronic health record. Intervention: A behavioral economics-informed intervention bundle, including default scheduling of postpartum PCP appointments and tailored messages. Main Outcome and Measures: Completion of a PCP visit for routine or chronic condition care within 4 months of delivery was the primary outcome, ascertained directly by reviewing the patient's electronic health record approximately 5 months after their estimated due date. Intention-to-treat analysis was conducted. Results: A total of 360 patients were randomized (control, 176; intervention, 184). Individuals had a mean (SD) age of 34.1 (4.9) years and median gestational age of 36.3 (IQR, 34.0-38.6) weeks at enrollment. The distribution of self-reported race and ethnicity was 6.8% Asian, 7.4% Black, 68.6% White, and 15.0% multiple races or other. Most participants (75.4%) had anxiety or depression, 16.1% had a chronic or pregnancy-related hypertensive disorder, 19.5% had preexisting or gestational diabetes, and 40.8% had a prepregnancy body mass index of 30 or greater. Medicaid was the primary payer for 21.2% of patients. Primary care practitioner visit completion within 4 months occurred in 22.0% (95% CI, 6.4%-28.8%) of individuals in the control group and 40.0% (95% CI, 33.1%-47.4%) in the intervention group. In regression models accounting for randomization strata, the intervention increased PCP visit completion by 18.7 percentage points (95% CI, 9.1-28.2 percentage points). Intervention participants also had fewer postpartum readmissions (1.7% vs 5.8%) and increased receipt of the following services by a PCP: blood pressure screening (42.8% vs 28.3%), weight assessment (42.8% vs 27.7%), and depression screening (32.8% vs 16.8%). Conclusions and Relevance: The findings of this randomized clinical trial suggest that the current lack of support for postpartum transitions to primary care is a missed opportunity to improve recently pregnant individual's short- and long-term health. Reducing patient administrative burdens may represent relatively low-resource, high-impact approaches to improving postpartum health and well-being. Trial Registration: ClinicalTrials.gov Identifier: NCT05543265.

Sociodemographic Factors Associated with Antenatal Steroid Use among Late Preterm Births.

In 2016, the Antenatal Late Preterm Steroid (ALPS) Trial demonstrated the benefit of antenatal steroids in reducing respiratory morbidity among late preterm singleton births ("LPB," 34-36 weeks of gestation).1 Prior studies have shown that this trial and its dissemination resulted in increased steroid use in the late preterm period; however, adoption was not uniform, with regional variation noted throughout the US.2-4 As the risk of preterm birth is known to vary widely by maternal characteristics and providers are encouraged to engage in shared decision-making around its use,5,6 we aimed to determine if antenatal steroid exposure among LPBs also varied based on sociodemographic characteristics.

Age-related differences in resting-state, task-related, and structural brain connectivity: graph theoretical analyses and visual search performance.

Previous magnetic resonance imaging (MRI) research suggests that aging is associated with a decrease in the functional interconnections within and between groups of locally organized brain regions (modules). Further, this age-related decrease in the segregation of modules appears to be more pronounced for a task, relative to a resting state, reflecting the integration of functional modules and attentional allocation necessary to support task performance. Here, using graph-theoretical analyses, we investigated age-related differences in a whole-brain measure of module connectivity, system segregation, for 68 healthy, community-dwelling individuals 18-78 years of age. We obtained resting-state, task-related (visual search), and structural (diffusion-weighted) MRI data. Using a parcellation of modules derived from the participants' resting-state functional MRI data, we demonstrated that the decrease in system segregation from rest to task (i.e., reconfiguration) increased with age, suggesting an age-related increase in the integration of modules required by the attentional demands of visual search. Structural system segregation increased with age, reflecting weaker connectivity both within and between modules. Functional and structural system segregation had qualitatively different influences on age-related decline in visual search performance. Functional system segregation (and reconfiguration) influenced age-related decline in the rate of visual evidence accumulation (drift rate), whereas structural system segregation contributed to age-related slowing of encoding and response processes (nondecision time). The age-related differences in the functional system segregation measures, however, were relatively independent of those associated with structural connectivity.

Splenic Infarction Due to Epstein-Barr Virus: A Case Report and Literature Review.

Splenic infarction is a rare and likely underdiagnosed complication of Epstein-Barr virus (EBV)-associated infectious mononucleosis (IM). Here, we describe an 18-year-old Guyanese male with persistent severe left-sided abdominal pain found to be EBV positive and have a large splenic infarct, along with a transient decrease in protein C, protein S, and antithrombin III activity levels. He was treated with supportive care and anticoagulated with heparin and apixaban. We review prior reports and perspectives on underlying pathophysiology, diagnosis, and the management of these cases, which likely do not require anticoagulation but may be considered on a per-case basis.

Health impact and cost-effectiveness of expanding routine immunization coverage in India through Intensified Mission Indradhanush.

Many children do not receive a full schedule of childhood vaccines, yet there is limited evidence on the cost-effectiveness of strategies for improving vaccination coverage. Evidence is even scarcer on the cost-effectiveness of strategies for reaching 'zero-dose children', who have not received any routine vaccines. We evaluated the cost-effectiveness of periodic intensification of routine immunization (PIRI), a widely applied strategy for increasing vaccination coverage. We focused on Intensified Mission Indradhanush (IMI), a large-scale PIRI intervention implemented in India in 2017-2018. In 40 sampled districts, we measured the incremental economic cost of IMI using primary data, and used controlled interrupted time-series regression to estimate the incremental vaccination doses delivered. We estimated deaths and disability-adjusted life years (DALYs) averted using the Lives Saved Tool and reported cost-effectiveness from immunization programme and societal perspectives. We found that, in sampled districts, IMI had an estimated incremental cost of 2021US$13.7 (95% uncertainty interval: 10.6 to 17.4) million from an immunization programme perspective and increased vaccine delivery by an estimated 2.2 (-0.5 to 4.8) million doses over a 12-month period, averting an estimated 1413 (-350 to 3129) deaths. The incremental cost from a programme perspective was $6.21 per dose ($2.80 to dominated), $82.99 per zero-dose child reached ($39.85 to dominated), $327.63 ($147.65 to dominated) per DALY averted, $360.72 ($162.56 to dominated) per life-year saved and $9701.35 ($4372.01 to dominated) per under-5 death averted. At a cost-effectiveness threshold of 1× per-capita GDP per DALY averted, IMI was estimated to be cost-effective with 90% probability. This evidence suggests IMI was both impactful and cost-effective for improving vaccination coverage, though there is a high degree of uncertainty in the results. As vaccination programmes expand coverage, unit costs may increase due to the higher costs of reaching currently unvaccinated children.

Increasing Postpartum Primary Care Engagement through Default Scheduling and Tailored Messaging: A Randomized Clinical Trial.

Importance: Over 30% of pregnant people have at least one chronic medical condition, and nearly 20% develop gestational diabetes or pregnancy-related hypertension, increasing the risk of future chronic disease. While these individuals are often monitored closely during pregnancy, they face significant barriers when transitioning to primary care following delivery, due in part to a lack of health care support for this transition. Objective: To evaluate the impact of an intervention designed to improve postpartum primary care engagement by reducing patient administrative burden and information gaps. Design: Individual-level randomized controlled trial conducted from November 3, 2022 to October 11, 2023. Setting: One hospital-based and five community-based outpatient obstetric clinics affiliated with a large academic medical center. Participants: Participants included English- and Spanish-speaking pregnant or recently postpartum adults with obesity, anxiety, depression, diabetes mellitus, chronic hypertension, gestational diabetes, or pregnancy-related hypertension, and a primary care practitioner (PCP) listed in their electronic health record (EHR). Intervention: A behavioral economics-informed intervention bundle, including default scheduling of postpartum PCP appointments and tailored messages. Main Outcome: Completion of a PCP visit for routine or chronic condition care within 4 months of delivery. Results: 360 patients were randomized (Control: N=176, Intervention: N=184). Individuals had mean (SD) age 34.1 (4.9) years and median gestational age of 36.3 weeks (interquartile range (IQR) 34.0-38.6 weeks) at enrollment. The distribution of self-reported races was 7.4% Asian, 6.8% Black, 15.0% multiple races or "Other," and 68.6% White. Most (75.8%) participants had anxiety or depression, 15.9% had a chronic or pregnancy-related hypertensive disorder, 19.8% had pre-existing or gestational diabetes, and 40.4% had a pre-pregnancy BMI ≥30 kg/m2. Medicaid was the primary payer for 21.9% of patients. PCP visit completion within 4 months occurred in 22.0% in the control group and 40.0% in the intervention group. In regression models accounting for randomization strata, the intervention increased PCP visit completion by 18.7 percentage points (95%CI 10.7-29.1). Intervention participants also had fewer postpartum readmissions (1.7 vs. 5.8%) and increased receipt of the following services by a PCP: blood pressure screening (42.8 vs. 28.3%), weight assessment (42.8 vs. 27.7%), and depression screening (32.8 vs. 16.8%). Conclusions and Relevance: In this randomized trial of pregnant individuals with or at risk for chronic health conditions, default PCP visit scheduling, tailored messages, and reminders substantially improved postpartum primary care engagement. The current lack of support for postpartum transitions to primary care is a missed opportunity to improve recently pregnant individual's short- and long-term health. Reducing patient administrative burdens may represent relatively low-resource, high-impact approaches to improving postpartum health and wellbeing. Trial Registration: NCT05543265.

Recent Research Trends in Neuroinflammatory and Neurodegenerative Disorders.

Neuroinflammatory and neurodegenerative disorders including Alzheimer's disease (AD), Parkinson's disease (PD), traumatic brain injury (TBI) and Amyotrophic lateral sclerosis (ALS) are chronic major health disorders. The exact mechanism of the neuroimmune dysfunctions of these disease pathogeneses is currently not clearly understood. These disorders show dysregulated neuroimmune and inflammatory responses, including activation of neurons, glial cells, and neurovascular unit damage associated with excessive release of proinflammatory cytokines, chemokines, neurotoxic mediators, and infiltration of peripheral immune cells into the brain, as well as entry of inflammatory mediators through damaged neurovascular endothelial cells, blood-brain barrier and tight junction proteins. Activation of glial cells and immune cells leads to the release of many inflammatory and neurotoxic molecules that cause neuroinflammation and neurodegeneration. Gulf War Illness (GWI) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) are chronic disorders that are also associated with neuroimmune dysfunctions. Currently, there are no effective disease-modifying therapeutic options available for these diseases. Human induced pluripotent stem cell (iPSC)-derived neurons, astrocytes, microglia, endothelial cells and pericytes are currently used for many disease models for drug discovery. This review highlights certain recent trends in neuroinflammatory responses and iPSC-derived brain cell applications in neuroinflammatory disorders.

Regional Variation in Antenatal Late Preterm Steroid Use Following the ALPS Trial.

Importance: The publication of the Antenatal Late Preterm Steroids (ALPS) trial in February 2016 demonstrated that antenatal administration of betamethasone in the late preterm period (between 34 to 36 weeks of gestation) for individuals with a high risk of delivery decreased neonatal respiratory morbidity. National estimates have suggested the trial did change obstetric practice, but little is known if the evidence was adopted uniformly or equitably. Objective: To assess regional variation in the use of late preterm steroids after the publication of the Antenatal Late Preterm Steroids (ALPS) Trial and to understand factors associated with a region's pace of adoption. Design, Setting, and Participants: This cross-sectional study used US natality data from February 2015 to October 2017 from hospital referral regions (HRRs) within the US. Inclusion criteria included live-born, nonanomalous, singleton, late preterm (34 to 36 completed weeks of gestation) neonates born to individuals without pregestational diabetes. This study was conducted from November 15, 2022, to January 13, 2023. Main Outcome and Measures: HRRs were categorized as either a slower adopter or faster adopter of antenatal late preterm steroids based on the observed vs expected pace of antenatal steroid adoption in a 1-year period after the trial's dissemination. Patient and regional factors hypothesized a priori to be associated with the uptake of late preterm steroids were compared between faster and slower adopters. Comparisons were made using Student t test or Wilcoxon rank-sum test, as appropriate. A multivariable logistic regression was constructed to identify factors associated with faster adopter status in the postperiod. Results: There were 666 097 late preterm births in 282 HRRs. The mean (SD) maternal age in HRRs was 27.9 (1.2) years. The median (IQR) percentage of births by race categories in HRRs for patients identifying as American Indian or Alaskan Native was 0.5% (0.2%-1.3%); Asian or Pacific Islander, 3.0% (1.7%-5.3%); Black, 12.9% (5.1%-29.1%); and White, 78.6% (66.6%-87.0%). The median percentage of births in HRRs to patients of Hispanic ethnicity was 11.2% (6.3%-27.4%). In this study, 136 HRRs (48.2%) were classified as faster adopters and 146 (51.8%) were classified as slower adopters. Faster adopters increased their steroid use by 12.1 percentage points (from 5.9% to 18.0%) compared with a 5.5 percentage point increase (from 3.7% to 9.2%) among slower adopters (P < .001). Most examined patient and regional factors were not associated with a region's pace of adoption, with the exception of the regional prevalence of prior preterm birth (adjusted odds ratio [aOR], 2.04 [95% CI, 1.48-2.82]) and the percentage of deliveries at 34 to 35 weeks of gestation (aOR, 0.68 [95% CI, 0.47-0.99]) compared with 36 weeks. Conclusions and Relevance: In this cross-sectional study, there was widespread geographic variation in the adoption of antenatal steroid administration for late preterm births that largely remained unexplained by population factors. These findings should prompt further investigations to barriers to timely or equitable access to new evidence-based practices and guide future dissemination strategies with the goal of more uniform adoption.

Impact of 1,7-malaria reactive community-based testing and response (1,7-mRCTR) approach on malaria prevalence in Tanzania.

BACKGROUND: Progress in malaria control has stalled in recent years and innovative surveillance and response approaches are needed to accelerate malaria control and elimination efforts in endemic areas of Africa. Building on a previous China-UK-Tanzania pilot study on malaria control, this study aimed to assess the impact of the 1,7-malaria Reactive Community-Based Testing and Response (1,7-mRCTR) approach implemented over two years in three districts of Tanzania. METHODS: The 1,7-mRCTR approach provides community-based malaria testing via rapid diagnostic tests and treatment in villages with the highest burden of malaria incidence based on surveillance data from health facilities. We used a difference-in-differences quasi-experimental design with linear probability models and two waves of cross-sectional household surveys to assess the impact of 1,7-mRCTR on malaria prevalence. We conducted sensitivity analyses to assess the robustness of our results, examined how intervention effects varied in subgroups, and explored alternative explanations for the observed results. RESULTS: Between October 2019 and September 2021, 244,771 community-based malaria rapid tests were completed in intervention areas, and each intervention village received an average of 3.85 rounds of 1-7mRCTR. Malaria prevalence declined from 27.4% at baseline to 11.7% at endline in the intervention areas and from 26.0% to 16.0% in the control areas. 1,7-mRCTR was associated with a 4.5-percentage-point decrease in malaria prevalence (95% confidence interval: - 0.067, - 0.023), equivalent to a 17% reduction from the baseline. In Rufiji, a district characterized by lower prevalence and where larviciding was additionally provided, 1,7-mRCTR was associated with a 63.9% decline in malaria prevalence. CONCLUSIONS: The 1,7-mRCTR approach reduced malaria prevalence. Despite implementation interruptions due to the COVID-19 pandemic and supply chain challenges, the study provided novel evidence on the effectiveness of community-based reactive approaches in moderate- to high-endemicity areas and demonstrated the potential of South-South cooperation in tackling global health challenges.

The association of a disability-targeted cash transfer programme with disability status and health-care access: a quasi-experimental study using a nationwide cohort of 4·3 million Chinese adults living with severe disabilities.

BACKGROUND: Cash transfer is a crucial policy tool to address inequality. The objective of this study was to investigate the association between China's disability-targeted cash transfer programme and disability status, as well as equitable access to rehabilitation and medical services. METHODS: For this quasi-experimental study, we drew data from the nationwide administrative cohort of individuals with disabilities between Jan 1, 2015, and Dec 31, 2019. Individuals were enrolled in the cohort if they were aged 18 years or older, had severe disabilities as defined by the Chinese Government, and had available cash transfer information for at least 4 consecutive years, without having started receiving cash transfer benefits at the time of enrolment. We used a quasi-experimental design with propensity score matching to estimate the effects of cash transfers on disability status, access to rehabilitation services, and access to medical treatment. The primary outcomes were development of new disability and reduction of existing disabilities. Secondary outcomes were use of rehabilitation services, financial barriers as a major obstacle to accessing rehabilitation services, use of medical services by individuals who had an illness in the previous 2 weeks, and financial barriers as a major obstacle to accessing medical services. FINDINGS: From an initial pool of 51 356 125 individuals with disabilities registered in the administrative system, 2 686 024 individuals were eligible for analysis, of whom 2 165 335 (80·6%) were cash transfer beneficiaries and 520 689 (19·4%) non-beneficiaries. After propensity score matching, the cohort included 4 330 122 adults with severe disabilities. Cash transfer beneficiaries had significantly lower odds of developing new disabilities over time than non-beneficiaries (odds ratio [OR] 0·90, 95% CI 0·86-0·94; p<0·0001) and higher odds of having a reduced number of disabilities over time (1·17, 1·10-1·25; p<0·0001). Compared with non-beneficiaries, cash transfer beneficiaries were more likely to use rehabilitation services (2·12, 2·11-2·13; p<0·0001) and medical services (1·74, 1·69-1·78; p<0·0001), and less likely to report financial hardship to access rehabilitation services (0·53, 0·52-0·54; p<0·0001) and medical services (0·88, 0·84-0·93; p<0·0001) at the study endpoint. INTERPRETATION: The receipt of cash transfers was associated with improved disability status and increased access to disability-related services. The findings suggest that cash transfers could be a potential method for promoting universal health coverage among individuals living with disabilities. FUNDING: China National Natural Science Foundation.

Controversies and progress on standardization of large-scale brain network nomenclature.

Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level of macroscale organization of the brain, is beginning to confront the challenges associated with developing a taxonomy of its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy of NETworks (WHATNET) was formed in 2020 as an Organization for Human Brain Mapping (OHBM)-endorsed best practices committee to provide recommendations on points of consensus, identify open questions, and highlight areas of ongoing debate in the service of moving the field toward standardized reporting of network neuroscience results. The committee conducted a survey to catalog current practices in large-scale brain network nomenclature. A few well-known network names (e.g., default mode network) dominated responses to the survey, and a number of illuminating points of disagreement emerged. We summarize survey results and provide initial considerations and recommendations from the workgroup. This perspective piece includes a selective review of challenges to this enterprise, including (1) network scale, resolution, and hierarchies; (2) interindividual variability of networks; (3) dynamics and nonstationarity of networks; (4) consideration of network affiliations of subcortical structures; and (5) consideration of multimodal information. We close with minimal reporting guidelines for the cognitive and network neuroscience communities to adopt.

COVID-19 and Long COVID: Disruption of the Neurovascular Unit, Blood-Brain Barrier, and Tight Junctions.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), could affect brain structure and function. SARS-CoV-2 can enter the brain through different routes, including the olfactory, trigeminal, and vagus nerves, and through blood and immunocytes. SARS-CoV-2 may also enter the brain from the peripheral blood through a disrupted blood-brain barrier (BBB). The neurovascular unit in the brain, composed of neurons, astrocytes, endothelial cells, and pericytes, protects brain parenchyma by regulating the entry of substances from the blood. The endothelial cells, pericytes, and astrocytes highly express angiotensin converting enzyme 2 (ACE2), indicating that the BBB can be disturbed by SARS-CoV-2 and lead to derangements of tight junction and adherens junction proteins. This leads to increased BBB permeability, leakage of blood components, and movement of immune cells into the brain parenchyma. SARS-CoV-2 may also cross microvascular endothelial cells through an ACE2 receptor-associated pathway. The exact mechanism of BBB dysregulation in COVID-19/neuro-COVID is not clearly known, nor is the development of long COVID. Various blood biomarkers could indicate disease severity and neurologic complications in COVID-19 and help objectively diagnose those developing long COVID. This review highlights the importance of neurovascular and BBB disruption, as well as some potentially useful biomarkers in COVID-19, and long COVID/neuro-COVID.

From biorepositories to data repositories: Open-access resources accelerate early R&D and validation of equitable diagnostic tools.

Diagnostics are critical tools that guide clinical decision-making for patient care and support disease surveillance. Despite its importance, developers and manufacturers often note that access to specimen panels and essential reagents is one of the key challenges in developing quality diagnostics, particularly in low-resource settings. A recent example, as the COVID-19 pandemic unfolded there was a need for clinical samples across the globe to support the rapid development of diagnostics. To address these challenges and gaps, PATH, a global nonprofit, along with its partners collaborated to create a COVID-19 biorepository to improve access to biological samples. Since then, the need for data resources to advance universal rapid diagnostic test (RDT) readers and noninvasive clinical measurement tools for screening children have also been identified and initiated. From biospecimens to data files, there are more similarities than differences in creating open-access repositories. And to ensure equitable technologies are developed, diverse sample panels and datasets are critical in the development process. Here we share one experience in creating open-access repositories as a case study to describe the steps taken, the key factors required to establish a biorepository, the ethical and legal frameworks that guided the initiative and the lessons learned. As diagnostic tools are evolving, more forms of data are critical to de-risk and accelerate early research and development (R&D) for products serving low resource settings. Creating physical and virtual repositories of freely available, well characterized, and high quality clinical and electronic data resources defray development costs to improve equitable access and test affordability.

Brain tissue iron neurophysiology and its relationship with the cognitive effects of dopaminergic modulation in children with and without ADHD.

Children with attention-deficit/hyperactivity disorder (ADHD) exhibit impairments in response inhibition. These impairments are ameliorated by modulating dopamine (DA) via the administration of rewards or stimulant medication like methylphenidate (MPH). It is currently unclear whether intrinsic DA availability impacts these effects of dopaminergic modulation on response inhibition. Thus, we estimated intrinsic DA availability using magnetic resonance-based assessments of basal ganglia and thalamic tissue iron in 36 medication-naïve children with ADHD and 29 typically developing (TD) children (8-12 y) who underwent fMRI scans and completed standard and rewarded go/no-go tasks. Children with ADHD additionally participated in a double-blind, randomized, placebo-controlled, crossover MPH challenge. Using linear regressions covarying for age and sex, we determined there were no group differences in brain tissue iron. We additionally found that higher putamen tissue iron was associated with worse response inhibition performance in all participants. Crucially, we observed that higher putamen and caudate tissue iron was associated with greater responsivity to MPH, as measured by improved task performance, in participants with ADHD. These results begin to clarify the role of subcortical brain tissue iron, a measure associated with intrinsic DA availability, in the cognitive effects of reward- and MPH-related dopaminergic modulation in children with ADHD and TD children.

Health care provider decision-making and the quality of maternity care: An analysis of postpartum care in Kenyan hospitals.

Evidence suggests that health care providers' non-adherence to clinical guidelines is widespread and contributes to poor patient outcomes across low- and middle-income countries. Through observations of maternity care in Kenya, we found limited adherence to guideline-recommended active monitoring of patients for signs of postpartum hemorrhage, the leading cause of maternal mortality, despite providers' having the necessary training and equipment. Using survey vignettes conducted with 144 maternity providers, we documented evidence consistent with subjective risk and perceived uncertainty driving providers' decisions to actively monitor patients. Motivated by these findings, we introduced a simple model of providers' decision-making about whether to monitor a patient, which may depend on their perceptions of risk, diagnostic uncertainty, and the value of new information. The model highlights key trade-offs between gathering diagnostic information through active monitoring versus waiting for signs and symptoms of hemorrhage to manifest. Our work provides a template for understanding provider decision-making and could inform interventions to encourage more proactive obstetric care.

The effect of a disability-targeted cash transfer program on universal health coverage and universal access to education: a nationwide cohort study of Chinese children and adolescents with disabilities.

Background: To achieve improved outcomes for children and adolescents with disabilities, it is central to have universal health coverage (UHC) and universal access to education. This study investigates whether a disability-targeted cash transfer (CT) program is associated with improved access to healthcare and education for children and adolescents with disabilities. Methods: We used nationwide survey data of two million children and adolescents living with disabilities, who aged 8-15 years when entering the cohort between January 1, 2015, and December 31, 2019. With a quasi-experimental study design, we compared the outcomes between CT beneficiaries who newly received CT benefits during the study period and non-beneficiaries who were disabled but never received CT using logistic regressions after propensity score matching with a 1:1 ratio. Outcomes of interest were utilization of rehabilitation services in the past year, medical treatment if the individual had illness in the past two weeks, school attendance if not in school at the start of the study, and reported financial hardship to access these services. Findings: Of the total cohort, 368,595 children and adolescents fit the inclusion criteria, including 157,707 new CT beneficiaries and 210,888 non-beneficiaries. After matching, CT beneficiaries showed 2.27 (95% confidence interval [CI]: 2.23, 2.31) higher odds of utilizing rehabilitation services and 1.34 (95% CI: 1.23, 1.46) higher odds of getting medical treatment compared to non-beneficiaries. CT benefits were also significantly associated with less report of financial barrier to access rehabilitation services (odds ratio [OR]: 0.63, 95% CI: 0.60, 0.66) and medical treatment (OR: 0.66, 95% CI: 0.57, 0.78). Moreover, CT program was associated with higher odds of school attendance (OR: 1.99, 95% CI: 1.85, 2.15) and lower odds of reporting financial difficult to access education (OR: 0.41, 95% CI: 0.36, 0.47). Interpretation: Our results suggest that the receipt of CT was associated with improved access to health and educational resources. This finding provides supporting evidence for the identification of efficient and feasible interventions to move toward UHC and universal education under the Sustainable Development Goals. Funding: This research was supported by Sanming Project of Medicine in Shenzhen (NO.SZSM202111001), China National Natural Science Foundation (Grant/Award Number: 72274104, 71904099) and Tsinghua University Spring Breeze Fund (20213080028).

Quality of care for postpartum hemorrhage: A direct observation study in referral hospitals in Kenya.

Postpartum hemorrhage (PPH) is the leading cause of maternal mortality in Kenya. The aim of this study was to measure quality and timeliness of care for PPH in a sample of deliveries in referral hospitals in Kenya. We conducted direct observations of 907 vaginal deliveries in three Kenyan hospitals from October 2018 through February 2019, observing the care women received from admission for labor and delivery through hospital discharge. We identified cases of "suspected PPH", defined as cases in which providers indicated suspicion of and/or took an action to manage abnormal bleeding. We measured adherence to World Health Organization and Kenyan guidelines for PPH risk assessment, prevention, identification, and management and the timeliness of care in each domain. The rate of suspected PPH among the observed vaginal deliveries was 9% (95% Confidence Interval: 7% - 11%). Health care providers followed all guidelines for PPH risk assessment in 7% (5% - 10%) of observed deliveries and all guidelines for PPH prevention in 4% (3% - 6%) of observed deliveries. Lowest adherence was observed for taking vital signs and for timely administration of a prophylactic uterotonic. Providers did not follow guidelines for postpartum monitoring in any of the observed deliveries. When suspected PPH occurred, providers performed all recommended actions in 23% (6% - 40%) of cases. Many of the critical actions for suspected PPH were performed in a timely manner, but, in some cases, substantial delays were observed. In conclusion, we found significant gaps in the quality of risk assessment, prevention, identification, and management of PPH after vaginal deliveries in referral hospitals in Kenya. Efforts to reduce maternal morbidity and mortality from PPH should emphasize improvements in the quality of care, with a particular focus on postpartum monitoring and timely emergency response.

Modeling individual differences in the timing of change onset and offset.

Individual differences in the timing of developmental processes are often of interest in longitudinal studies, yet common statistical approaches to modeling change cannot directly estimate the timing of when change occurs. The time-to-criterion framework was recently developed to incorporate the timing of a prespecified criterion value; however, this framework has difficulty accommodating contexts where the criterion value differs across people or when the criterion value is not known a priori, such as when the interest is in individual differences in when change starts or stops. This article combines aspects of reparameterized quadratic models and multiphase models to provide information on the timing of change. We first consider the more common situation of modeling decelerating change to an offset point, defined as the point in time at which change ceases. For increasing trajectories, the offset occurs when the criterion attains its maximum ("inverted J-shaped" trajectories). For decreasing trajectories, offset instead occurs at the minimum. Our model allows for individual differences in both the timing of offset and ultimate level of the outcome. The same model, reparameterized slightly, captures accelerating change from a point of onset ("J-shaped" trajectories). We then extend the framework to accommodate "S-shaped" curves where both the onset and offset of change are within the observation window. We provide demonstrations that span neuroscience, educational psychology, developmental psychology, and cognitive science, illustrating the applicability of the modeling framework to a variety of research questions about individual differences in the timing of change. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Immediate postpartum care in low- and middle-income countries: A gap in healthcare quality research and practice.

The immediate postpartum period carries significant risks for complications such as postpartum hemorrhage and sepsis. Postpartum monitoring, including taking vital signs and monitoring blood loss, is important for the early identification and management of complications, but many women in low- and middle-income countries receive minimal attention in the period following childbirth to facility discharge. The World Health Organization recently released new guidelines on postnatal care, which include recommendations for immediate postpartum monitoring. In light of the new guidelines, this presented an opportune moment to address the gaps in postpartum monitoring in low- and middle-income countries. In this commentary, we bring attention to the importance of immediate postpartum monitoring. We identified opportunities for strengthening this often overlooked aspect of maternity care through improvements in quality measurement and data availability, research into barriers against high-quality care, and innovations in service delivery design.