Perceived stigma of COVID-19 patients in Shanghai, China, in the third year of the pandemic: a cross-sectional social impact survey.

INTRODUCTION: Social stigma associated with Covid-19 infection has been reported around the world. This paper investigates the level of self-reported perceived stigma among people infected with COVID-19 in Shanghai, China, in the third year of the pandemic to determine changes in perceived stigma and individual level variables associated with perceived stigma. METHODS: We conducted a self-reported two-part online survey (n = 144 responses) by employing a convenience sampling method of COVID-19 patients in Shanghai. The first part of the survey collects sociodemographic information of the respondents and the second part outlines 24 items of the Social Impact Scale (SIS), which measures individual level factors associated with stigma, namely social rejection, financial insecurity, internalized shame, and social isolation. We ran Wilcoxon signed-ranks test, Kruskal-Wallis test, and linear regression analysis to assess the levels of perceived stigma differences. RESULTS: The study finds that the overall level of self-reported stigma during the COVID-19 lockdowns in Shanghai in 2022 was at a lower level than that compared to the self-reported perceived stigma study in Wuhan in 2020. In Shanghai, the severity of the disease and hospitalization length had most impact on financial insecurity and feelings of social isolation. These experiences were not gendered. Recovery measures, including economic considerations, need to pay particular attention to those who experienced severe disease.

Skeletal Outcomes in Children and Young Adults with Glomerular Disease.

BACKGROUND: Children with glomerular disease have unique risk factors for compromised bone health. Studies addressing skeletal complications in this population are lacking. METHODS: This retrospective cohort study utilized data from PEDSnet, a national network of pediatric health systems with standardized electronic health record data for more than 6.5 million patients from 2009 to 2021. Incidence rates (per 10,000 person-years) of fracture, slipped capital femoral epiphysis (SCFE), and avascular necrosis/osteonecrosis (AVN) in 4598 children and young adults with glomerular disease were compared with those among 553,624 general pediatric patients using Poisson regression analysis. The glomerular disease cohort was identified using a published computable phenotype. Inclusion criteria for the general pediatric cohort were two or more primary care visits 1 year or more apart between 1 and 21 years of age, one visit or more every 18 months if followed >3 years, and no chronic progressive conditions defined by the Pediatric Medical Complexity Algorithm. Fracture, SCFE, and AVN were identified using SNOMED-CT diagnosis codes; fracture required an associated x-ray or splinting/casting procedure within 48 hours. RESULTS: We found a higher risk of fracture for the glomerular disease cohort compared with the general pediatric cohort in girls only (incidence rate ratio [IRR], 1.6; 95% CI, 1.3 to 1.9). Hip/femur and vertebral fracture risk were increased in the glomerular disease cohort: adjusted IRR was 2.2 (95% CI, 1.3 to 3.7) and 5 (95% CI, 3.2 to 7.6), respectively. For SCFE, the adjusted IRR was 3.4 (95% CI, 1.9 to 5.9). For AVN, the adjusted IRR was 56.2 (95% CI, 40.7 to 77.5). CONCLUSIONS: Children and young adults with glomerular disease have significantly higher burden of skeletal complications than the general pediatric population.

COVID-19, sex, and gender in China: a scoping review.

BACKGROUND: During the course of the COVID-19 pandemic, states were called upon by the World Health Organization to introduce and prioritise the collection of sex-disaggregated data. The collection of sex-disaggregated data on COVID-19 testing, infection rates, hospital admissions, and deaths, when available, has informed our understanding of the biology of the infectious disease. The collection of sex-disaggregated data should also better inform our understanding of the gendered impacts that contribute to risk of exposure to COVID-19. In China, the country with the longest history of fighting the COVID-19 infection, what research was available on the gender-differential impacts of COVID-19 in the first 6 months of the COVID-19 pandemic? METHODS: In this scoping review, we examine the first 6 months (January-June 2020) of peer-reviewed publications (n = 451) on sex and gender experiences related to COVID-19 in China. We conducted an exhaustive search of published Chinese and English language research papers on COVID-19 in mainland China. We used a COVID-19 Gender Matrix informed by the JPHIEGO gender analysis toolkit to examine and illuminate research into the gendered impacts of COVID-19 within China. RESULTS: In China, only a small portion of the COVID-19-related research focused on gender experiences and differences. Near the end of the six-month literature review period, a small number of research items emerged on women healthcare workers, women's mental health, and pregnant women's access to care. There was an absence of research on the gendered impact of COVID-19 amongst populations. There was minimal consideration of the economic, social and security factors, including gender stereotypes and expectations, that affected different populations' experiences of infection, treatment, and lockdown during the period of review. CONCLUSION: At the outset of health emergencies in China, gender research needs to be prioritised during the first stage of an outbreak to assist with evaluation of the most effective public health measures, identifying access to healthcare and social welfare barriers amongst priority communities. Gender stereotypes and gendered differences lead to different patterns of exposure and treatment. The exclusion of this knowledge in real time affects the design of effective prevention and recovery.

A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative.

CONTEXT: Integrating longitudinal data from community-based organizations (eg, physical activity programs) with electronic health record information can improve capacity for childhood obesity research. OBJECTIVE: A governance framework that protects individual privacy, accommodates organizational data stewardship requirements, and complies with laws and regulations was developed and implemented to support the harmonization of data from disparate clinical and community information systems. PARTICIPANTS AND SETTING: Through the Childhood Obesity Data Initiative (CODI), 5 Colorado-based organizations collaborated to expand an existing distributed health data network (DHDN) to include community-generated data and assemble longitudinal patient records for research. DESIGN: A governance work group expanded an existing DHDN governance infrastructure with CODI-specific data use and exchange policies and procedures that were codified in a governance plan and a delegated-authority, multiparty, reciprocal agreement. RESULTS: A CODI governance work group met from January 2019 to March 2020 to conceive an approach, develop documentation, and coordinate activities. Governance requirements were synthesized from the CODI use case, and a customized governance approach was constructed to address governance gaps in record linkage, a procedure to request data, and harmonizing community and clinical data. A Master Sharing and Use Agreement (MSUA) and Memorandum of Understanding were drafted and executed to support creation of linked longitudinal records of clinical- and community-derived childhood obesity data. Furthermore, a multiparty infrastructure protocol was approved by the local institutional review board (IRB) to expedite future CODI research by simplifying IRB research applications. CONCLUSION: CODI implemented a clinical-community governance strategy that built trust between organizations and allowed efficient data exchange within a DHDN. A thorough discovery process allowed CODI stakeholders to assess governance capacity and reveal regulatory and organizational obstacles so that the governance infrastructure could effectively leverage existing knowledge and address challenges. The MSUA and complementary governance documents can inform similar efforts.

Pediatric Sepsis in Community Emergency Care Settings: Guideline Concordance and Outcomes.

OBJECTIVES: Bundled pediatric sepsis care has been associated with improved outcomes in tertiary pediatric emergency departments. Sepsis care at nontertiary sites where most children seek emergency care is not well described. We sought to describe the rate of guideline-concordant care, and we hypothesized that guideline-concordant care in community pediatric emergency care settings would be associated with decreased hospital length of stay (LOS). METHOD: This retrospective cohort study of children with severe sepsis presenting to pediatric community emergency and urgent care sites included children 60 days to 17 years with severe sepsis. The primary predictor was concordance with the American College of Critical Care Medicine 2017 pediatric sepsis resuscitation bundle, including timely recognition, vascular access, intravenous fluids, antibiotics, vasoactive agents as needed. RESULTS: From January 1, 2015, to December 31, 2017, 90 patients with severe sepsis met inclusion criteria; 22 (24%) received guideline-concordant care. Children receiving concordant care had a median hospital LOS of 95.3 hours (50.9-163.8 hours), with nonconcordant care, LOS was 88.3 hours (57.3-193.2 hours). In adjusted analysis, guideline-concordant care was not associated with hospital LOS (incident rate ratio, 0.99 [0.64-1.52]). The elements that drove overall concordance were timely recognition, achieved in only half of cases, vascular access, and timely antibiotics. CONCLUSIONS: Emergency care for pediatric sepsis in the community settings studied was concordant with guidelines in only 24% of the cases. Future study is needed to evaluate additional drivers of outcomes and ways to improve sepsis care in community emergency care settings.

Disseminated Intravascular Coagulation Is an Independent Predictor of Adverse Outcomes in Children in the Emergency Department with Suspected Sepsis.

OBJECTIVE: To evaluate the impact of early disseminated intravascular coagulation (DIC) on illness severity in children using a database of emergency department ED encounters for children with suspected sepsis, in view of similar associations in adults. STUDY DESIGN: Laboratory and clinical data were extracted from a registry of emergency department encounters of children with suspected sepsis between April 1, 2012, and June 26, 2017. International Society of Thrombosis and Hemostasis DIC scores were calculated from laboratory values obtained within 24 hours of emergency department admission. Univariate logistic regression, multivariable logistic regression, and Cox regression were used to assess the influence of DIC scores on vasopressor use (primary outcome), mortality, ventilator requirement, pediatric intensive care unit admission, and hospital duration (secondary outcomes). The optimal DIC score cutoff for outcome prediction was determined. RESULTS: Of 1653 eligible patients, 284 had DIC scores within 24 hours, including 92 who required vasopressors and 23 who died within 1 year. An initial DIC score of ≥3 was the most sensitive and specific DIC score for predicting adverse outcomes. Those with a DIC score of ≥3 vs <3 had increased odds of vasopressor use in both univariate (OR, 4.48; 95% CI, 2.63-7.62; P < .001) and multivariable (OR, 3.78; 95% CI, 1.82-7.85; P < .001) analyses. Additionally, those with a DIC score of ≥3 vs <3 had increased 1-year mortality with a hazard ratio of 3.55 (95% CI, 1.46-8.64; P = .005). CONCLUSIONS: A DIC score of ≥3 was an independent predictor for both vasopressor use and mortality in this pediatric cohort, distinct from the adult overt DIC score cutoff of ≥5.

Development and Validation of a Predictive Model of the Risk of Pediatric Septic Shock Using Data Known at the Time of Hospital Arrival.

OBJECTIVE: To derive and validate a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital arrival. STUDY DESIGN: This observational cohort study at 6 pediatric emergency department and urgent care sites used a training dataset (5 sites, April 1, 2013, to December 31, 2016), a temporal test set (5 sites, January 1, 2017 to June 30, 2018), and a geographic test set (a sixth site, April 1, 2013, to December 31, 2018). Patients 60 days to 18 years of age in whom clinicians suspected sepsis were included; patients with septic shock on arrival were excluded. The outcome, septic shock, was systolic hypotension with vasoactive medication or ≥30 mL/kg of isotonic crystalloid within 24 hours of arrival. Elastic net regularization, a penalized regression technique, was used to develop a model in the training set. RESULTS: Of 2464 included visits, septic shock occurred in 282 (11.4%). The model had an area under the curve of 0.79 (0.76-0.83) in the training set, 0.75 (0.69-0.81) in the temporal test set, and 0.87 (0.73-1.00) in the geographic test set. With a threshold set to 90% sensitivity in the training set, the model yielded 82% (72%-90%) sensitivity and 48% (44%-52%) specificity in the temporal test set, and 90% (55%-100%) sensitivity and 32% (21%-46%) specificity in the geographic test set. CONCLUSIONS: This model estimated the risk of septic shock in children at hospital arrival earlier than existing models. It leveraged the predictive value of routine electronic health record data through a modern predictive algorithm and has the potential to enhance clinical risk stratification in the critical moments before deterioration.

Estimating Childhood Obesity Prevalence in Communities Through Multi-institutional Data Sharing.

CONTEXT: Although local childhood obesity prevalence estimates would be valuable for planning and evaluating obesity prevention efforts in communities, these data are often unavailable. OBJECTIVE: The primary objective was to create a multi-institutional system for sharing electronic health record (EHR) data to produce childhood obesity prevalence estimates at the census tract level. A secondary objective was to adjust obesity prevalence estimates to population demographic characteristics. DESIGN/SETTING/PARTICIPANTS: The study was set in Denver County, Colorado. Six regional health care organizations shared EHR-derived data from 2014 to 2016 with the state health department for children and adolescents 2 to 17 years of age. The most recent height and weight measured during routine care were used to calculate body mass index (BMI); obesity was defined as BMI of 95th percentile or more for age and sex. Census tract location was determined using residence address. Race/ethnicity was imputed when missing, and obesity prevalence estimates were adjusted by sex, age group, and race/ethnicity. MAIN OUTCOME MEASURE(S): Adjusted obesity prevalence estimates, overall, by demographic characteristics and by census tract. RESULTS: BMI measurements were available for 89 264 children and adolescents in Denver County, representing 73.9% of the population estimate from census data. Race/ethnicity was missing for 4.6%. The county-level adjusted childhood obesity prevalence estimate was 13.9% (95% confidence interval, 13.6-14.1). Adjusted obesity prevalence was higher among males, those 12 to 17 years of age, and those of Hispanic race/ethnicity. Adjusted obesity prevalence varied by census tract (range, 0.4%-24.7%). Twelve census tracts had an adjusted obesity prevalence of 20% or more, with several contiguous census tracts with higher childhood obesity occurring in western areas of the city. CONCLUSIONS: It was feasible to use a system of multi-institutional sharing of EHR data to produce local childhood obesity prevalence estimates. Such a system may provide useful information for communities when implementing obesity prevention programs.

LEF-1 drives aberrant ß-catenin nuclear localization in myeloid leukemia cells.

Canonical Wnt/ß-catenin signaling is frequently dysregulated in myeloid leukemias and is implicated in leukemogenesis. Nuclear-localized ß-catenin is indicative of active Wnt signaling and is frequently observed in acute myeloid leukemia (AML) patients; however, some patients exhibit little or no nuclear ß-catenin even where cytosolic ß-catenin is abundant. Control of the subcellular localization of ß-catenin therefore represents an additional mechanism regulating Wnt signaling in hematopoietic cells. To investigate the factors mediating the nuclear-localization of ß-catenin, we carried out the first nuclear/cytoplasmic proteomic analysis of the ß-catenin interactome in myeloid leukemia cells and identified putative novel ß-catenin interactors. Comparison of interacting factors between Wnt-responsive cells (high nuclear ß-catenin) versus Wnt-unresponsive cells (low nuclear ß-catenin) suggested the transcriptional partner, LEF-1, could direct the nuclear-localization of ß-catenin. The relative levels of nuclear LEF-1 and ß-catenin were tightly correlated in both cell lines and in primary AML blasts. Furthermore, LEF-1 knockdown perturbed ß-catenin nuclear-localization and transcriptional activation in Wnt-responsive cells. Conversely, LEF-1 overexpression was able to promote both nuclear-localization and ß-catenin-dependent transcriptional responses in previously Wnt-unresponsive cells. This is the first ß-catenin interactome study in hematopoietic cells and reveals LEF-1 as a mediator of nuclear ß- catenin level in human myeloid leukemia.

Implementation of a Clinical Decision Support System for Children With Minor Blunt Head Trauma Who Are at Nonnegligible Risk for Traumatic Brain Injuries.

STUDY OBJECTIVE: To determine the effect of providing risk estimates of clinically important traumatic brain injuries and management recommendations on emergency department (ED) outcomes for children with isolated intermediate Pediatric Emergency Care Applied Research Network clinically important traumatic brain injury risk factors. METHODS: This was a secondary analysis of a nonrandomized clinical trial with concurrent controls, conducted at 5 pediatric and 8 general EDs between November 2011 and June 2014, enrolling patients younger than 18 years who had minor blunt head trauma. After a baseline period, intervention sites received electronic clinical decision support providing patient-level clinically important traumatic brain injury risk estimates and management recommendations. The following primary outcomes in patients with one intermediate Pediatric Emergency Care Applied Research Network risk factor were compared before and after clinical decision support: proportion of ED computed tomography (CT) scans, adjusted for age, time trend, and site; and prevalence of clinically important traumatic brain injuries. RESULTS: The risk of clinically important traumatic brain injuries was known for 3,859 children with isolated findings (1,711 at intervention sites before clinical decision support, 1,702 at intervention sites after clinical decision support, and 446 at control sites). In this group, pooled CT proportion decreased from 24.2% to 21.6% after clinical decision support (odds ratio 0.86; 95% confidence interval 0.73 to 1.01). Decreases in CT use were noted across intervention EDs, but not in controls. The pooled adjusted odds ratio for CT use after clinical decision support was 0.73 (95% confidence interval 0.60 to 0.88). Among the entire cohort, clinically important traumatic brain injury was diagnosed at the index ED visit for 37 of 37 (100%) patients before clinical decision support and 32 of 33 patients (97.0%) after clinical decision support. CONCLUSION: Providing specific risks of clinically important traumatic brain injury through electronic clinical decision support was associated with a modest and safe decrease in ED CT use for children at nonnegligible risk of clinically important traumatic brain injuries.

The Sensitivity of Clinician Diagnosis of Sepsis in Tertiary and Community-Based Emergency Settings.

OBJECTIVES: To assess whether the risk of missed clinician diagnosis of pediatric sepsis requiring care in the intensive care unit (ICU) was greater in community vs tertiary pediatric emergency care settings with sepsis pathways. STUDY DESIGN: An observational cohort study in a tertiary pediatric emergency department (ED) staffed by pediatric emergency physicians and 4 affiliated community pediatric ED/urgent care sites staffed by general pediatricians. Use of an institutional sepsis order set or pathway was considered clinician diagnosis of sepsis. Risk of missed diagnosis was compared for 2 outcomes: suspected infection plus ICU admission (sepsis-ICU) and suspected infection plus vasoactive agent/positive-pressure ventilation (sepsis-VV). RESULTS: From January 1, 2014 to December 31, 2015, there were 141 552 tertiary and 139 332 community emergency visits. Clinicians diagnosed sepsis in 1136 visits; median age was 5.7 (2.4, 12.0) years. In the tertiary ED, there were 306 sepsis-ICU visits (0.2%) and 112 sepsis-VV visits (0.08%). In community sites, there were 46 sepsis-ICU visits (0.03%) and 20 sepsis-VV visits (0.01%). The risk of missed diagnosis in community vs tertiary sites was significantly greater for sepsis-ICU (relative risk 4.30, CI 2.15-8.60) and sepsis-VV (relative risk 14.0, CI 2.91-67.24). Sensitivity for sepsis-ICU was 94.4% (91.3%-96.5%) at the tertiary site and 76.1% (62.1%-86.1%) at community sites. CONCLUSIONS: The risk of missed diagnosis of sepsis-ICU was greater in community vs tertiary emergency care settings despite shared pathways and education, but with differences in resources, providers, and sepsis incidence. More research is needed to optimize diagnostic approaches in all settings.

Infectious Disease Outbreak Response: Mind the Rights Gap.

The international organization responsible for international coordinated response to disease outbreaks-the World Health Organization (WHO)-was given permission to receive reports from sources other than the state in revisions to the International Health Regulations (IHR) in 2005. However, the organization struggles to protect its corresponding right to receive reports from non-state actors on outbreak events. This article examines the consequences of this implementation gap between what is stated in the IHR-the right of WHO to receive reports from non-state actors on outbreak events-and the reality that states remain able and willing to act to ensure that this right is not exercised. The article examines two recent cases: the first detection of Middle East Respiratory Syndrome (MERS) outbreak in Saudi Arabia, and the first months of the Ebola outbreak in Guinea. Both cases demonstrate how the WHO has struggled to balance states' concern with managing risk communication against WHO's right to receive reports from non-state actors. The article argues that to realize the full potential of a transparent disease outbreak reporting process, there is a need for a human rights framework that expressly articulates its right to receive reports and outlines appropriate behaviour for the WHO, states, and non-state actors.

Power, intersectionality and stigma: Informing a gender- and spatially-sensitive public health approach to women and gambling in Great Britain.

In Britain more men participate in gambling than women, although the gender gap is narrowing; and online gambling is increasing among women and men. Gambling practices differ between men and women but also between different groups of women, with evidence that younger women are diversifying to gamble in different ways from older women. Complex and powerful spatial, socio-cultural and economic forces shape women's experiences of gambling, the problems gambling may cause, and wider societal efforts to minimise these harms. This paper presents the findings of a Rapid Evidence Assessment (REA) of research on women and gambling and conceptual reflections on these findings to argue for greater attention to the gendered and spatial dimensions of gambling in three ways. First, we discuss the geographical focus and scope of the research we reviewed on women and gambling; second, we analyse the changing geographies of where women gamble; and finally, we consider how qualitative notions of space as experiential and co-constitutive can offer a more nuanced conceptual framework for understanding women's lived experience of gambling and gambling harm. We identify areas for further research on gambling and gambling harm that attends to gendered and spatial dimensions of gambling, including online spaces; the intersectional dynamics that shape gambling practice and gambling harms; and the experiences of those affected by others' gambling.

Preferred language and diagnostic errors in the pediatric emergency department.

OBJECTIVES: To investigate the relationship between language and diagnostic errors (DxE) in the pediatric emergency department (ED). METHODS: Electronic trigger identified ED encounters resulting in unplanned hospital admission that occurred within 10 days of an index visit from January 2018 through February 2022. Manual screening of each triggered encounter identified cases where the index visit diagnosis and hospitalization discharge diagnosis differed, and these were screened in for review using the Revised Safer Dx instrument to determine if a diagnostic error (DxE) occurred. Non-English primary language (NEPL) and English-proficient (EP) groups were established based on caregiver language. The primary outcome was the proportion of DxE each group. Data were analyzed using univariate analysis and multivariable logistic regression to identify independent predictors of DxE. RESULTS: Electronic trigger identified 3,551 patients, of which 806 (22.7 %) screened in for Safer Dx review. 172 (21.3 %) experienced DxE. The proportion of DxE was similar between EP and NEPL groups (21.5 vs. 21.7 %; p=0.97). Age≥12 years and fewer prior admissions in the preceding 6 months predicted higher odds of DxE. NEPL did not predict higher odds of DxE. CONCLUSIONS: NEPL was not associated with increased odds DxE resulting in unplanned admission.

What's the ideal World Health Organization (WHO)?

The World Health Organization (WHO) is tasked with the 'attainment by all peoples of the highest possible level of health', yet, it is widely struggling to meet this mandate, and COVID-19 has revealed significant limitations of the organisation. Despite clear guidance provided by the institution as to how best to respond to the pathogen, many governments departed from WHO's guidance in their response efforts. Is this a new crisis for WHO? Does WHO need to restore its legitimacy in the eyes of the global community? As renewed calls for changes to WHO emerge, in this perspective we lay out the obstacles WHO face to become the WHO 'we' need. The assumption is that UN member states need an empowered and well-funded organisation. Yet, many years of discussion of reform of WHO have failed to lead to meaningful change, and glaring challenges remain in its financing, governance and politics, which are considered in turn. The reality may be that we have the WHO that UN member states need - one that can provide guidance and advice, but also take criticism for health governance failures when states want to avoid blame or responsibility. We discuss this, by analysing three key areas of WHO'S challenges: mandate and scope; structure, governance and money and domestic vs international.

Ontologizing health systems data at scale: making translational discovery a reality.

Common data models solve many challenges of standardizing electronic health record (EHR) data but are unable to semantically integrate all of the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry ontologies provide computable representations of biological knowledge and enable the integration of heterogeneous data. However, mapping EHR data to OBO ontologies requires significant manual curation and domain expertise. We introduce OMOP2OBO, an algorithm for mapping Observational Medical Outcomes Partnership (OMOP) vocabularies to OBO ontologies. Using OMOP2OBO, we produced mappings for 92,367 conditions, 8611 drug ingredients, and 10,673 measurement results, which covered 68-99% of concepts used in clinical practice when examined across 24 hospitals. When used to phenotype rare disease patients, the mappings helped systematically identify undiagnosed patients who might benefit from genetic testing. By aligning OMOP vocabularies to OBO ontologies our algorithm presents new opportunities to advance EHR-based deep phenotyping.