Components of Comprehensive and Effective Transitional Care

Transitional care (TC) has received widespread attention from researchers, health system leaders, clinicians, and policy makers as they attempt to improve health outcomes and reduce preventable hospital readmissions, yet little is known about the critical elements of effective TC and how they relate to patients’ and caregivers’ needs and experiences. To address this gap, the Patient‐Centered Outcomes Research Institute (PCORI) funded a national study, A chieving patient‐centered C are and optimized H ealth I n care transitions by E valuating the V alue of E vidence (Project ACHIEVE). A primary aim of the study is the identification of TC components that yield desired patient and caregiver outcomes. Project ACHIEVE established a multistakeholder workgroup to recommend essential TC components for vulnerable Medicare beneficiaries. Guided by a review of published evidence, the workgroup identified and defined a preliminary set of components and then analyzed how well the set aligned with real‐world patients' and caregivers' experiences. Through this process, the workgroup identified eight TC components: patient engagement, caregiver engagement, complexity and medication management, patient education, caregiver education, patients' and caregivers' well‐being, care continuity, and accountability. Although the degree of attention given to each component will vary based on the specific needs of patients and caregivers, workgroup members agree that health systems need to address all components to ensure optimal TC for all Medicare beneficiaries.     

Frequency format diagram and probability chart for breast cancer risk communication: a prospective, randomized trial

Background

Wife beating is an important public health problem in many developing countries. We assessed the rates of wife beating and examined factors associated with wife beating in 1995 and 2005 in Egypt.

Methods

We used data from two Demographic and Health Surveys (DHS) conducted in Egypt in 1995 and 2005 using multistage household sampling. Data related to wife beating included information from 7122 women in 1995 and 5612 women in 2005. Logistic regression was used to analyze factors independently associated with wife beating. Special weights were used to obtain nationally representative estimates.

Results

In 1995 17.5% of married women in Egypt experienced wife beating in the last 12 months, in 2005 – 18.9% or 16.0%, using different measures. The association between socio-demographic differentials and wife beating was weaker in the newer survey. The 12-month prevalence of wife beating was lower only when both partners were educated, but the differences across education levels were less pronounced in 2005. Based on the information available in the 2005 survey, more educated women experienced less severe forms of wife beating than less educated women.

Conclusion

Different measures used in both surveys make a direct comparison difficult. The observed patterns indicate that the changes in prevalence may be masked by two opposite processes occurring in the society: a decrease in (severe forms of) wife beating and an increase in reporting of wife beating. Improving the access to education for women and raising education levels in the whole society may help reducing wife beating.     

Autonomic and electrophysiological correlates of emotional intensity in older and younger adults

Anterior cingulate cortex (ACC) is involved in the modulation of autonomic activity, emotional responsivity, and the monitoring of goal-directed behavior. However, these functions are rarely studied together to determine how they relate or whether their pattern of relation changes with age. We recorded respiratory sinus arrhythmia (RSA), an index of autonomic activity, error-related event related potentials (ERN/Pe), generated in ACC, and the self-reported intensity of 5 basic emotions in older and younger adults. Emotional intensity did not differ with age. The ERN/Pe and RSA were reduced with age and related specifically to sadness intensity for both groups. When examined together, RSA accounted for the relation between ERN/Pe and sadness. This is consistent with a model of medial prefrontal function in which autonomic processes mediate the relation between cognitive control and affective regulation, a pattern that also did not differ with age.     

Antibody evolution to SARS-CoV-2 after single-dose Ad26.COV2.S vaccine in humans

The single-dose Ad.26.COV.2 (Janssen) vaccine elicits lower levels of neutralizing antibodies and shows more limited efficacy in protection against infection than either of the two available mRNA vaccines. In addition, Ad.26.COV.2 has been less effective in protection against severe disease during the Omicron surge. Here, we examined the memory B cell response to single-dose Ad.26.COV.2 vaccination. Compared with mRNA vaccines, Ad.26.COV.2 recipients had significantly lower numbers of RBD-specific memory B cells 1.5 or 6 mo after vaccination. Despite the lower numbers, the overall quality of the memory B cell responses appears to be similar, such that memory antibodies elicited by both vaccine types show comparable neutralizing potency against SARS-CoV-2 Wuhan-Hu-1, Delta, and Omicron BA.1 variants. The data help explain why boosting Ad.26.COV.2 vaccine recipients with mRNA vaccines is effective and why the Ad26.COV2.S vaccine can maintain some protective efficacy against severe disease during the Omicron surge.     

Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation

BackgroundSelection bias and unmeasured confounding are fundamental problems in epidemiology that threaten study internal and external validity. These phenomena are particularly dangerous in internet-based public health surveillance, where traditional mitigation and adjustment methods are inapplicable, unavailable, or out of date. Recent theoretical advances in causal modeling can mitigate these threats, but these innovations have not been widely deployed in the epidemiological community.ObjectiveThe purpose of our paper is to demonstrate the practical utility of causal modeling to both detect unmeasured confounding and selection bias and guide model selection to minimize bias. We implemented this approach in an applied epidemiological study of the COVID-19 cumulative infection rate in the New York City (NYC) spring 2020 epidemic.MethodsWe collected primary data from Qualtrics surveys of Amazon Mechanical Turk (MTurk) crowd workers residing in New Jersey and New York State across 2 sampling periods: April 11-14 and May 8-11, 2020. The surveys queried the subjects on household health status and demographic characteristics. We constructed a set of possible causal models of household infection and survey selection mechanisms and ranked them by compatibility with the collected survey data. The most compatible causal model was then used to estimate the cumulative infection rate in each survey period.ResultsThere were 527 and 513 responses collected for the 2 periods, respectively. Response demographics were highly skewed toward a younger age in both survey periods. Despite the extremely strong relationship between age and COVID-19 symptoms, we recovered minimally biased estimates of the cumulative infection rate using only primary data and the most compatible causal model, with a relative bias of +3.8% and –1.9% from the reported cumulative infection rate for the first and second survey periods, respectively.ConclusionsWe successfully recovered accurate estimates of the cumulative infection rate from an internet-based crowdsourced sample despite considerable selection bias and unmeasured confounding in the primary data. This implementation demonstrates how simple applications of structural causal modeling can be effectively used to determine falsifiable model conditions, detect selection bias and confounding factors, and minimize estimate bias through model selection in a novel epidemiological context. As the disease and social dynamics of COVID-19 continue to evolve, public health surveillance protocols must continue to adapt; the emergence of Omicron variants and shift to at-home testing as recent challenges. Rigorous and transparent methods to develop, deploy, and diagnosis adapted surveillance protocols will be critical to their success.     

Mast cell activation syndrome—anesthetic challenges in two different clinical scenarios

Mast cell activation syndrome(MCAS) includes a group of disorders that result in the inappropriate release of inflammatory mediators from mast cells. These mediators can affect multiple organ systems and lead to significant morbidity, and possible fatality. Although reactions, typically in response to various nonspecific stimuli, are usually mild, they may put those with MCAS at increased risk of anaphylaxis. In this case report, we present two clinical scenarios of MCAS, and identify possible f...     

Do childcare menus meet nutrition guidelines? Quantity,variety and quality of food provided in New Zealand Early Childhood Education services

Objective: To describe food provision and evaluate menus in New Zealand childcare services, determining associations with service characteristics and/or cost of menu. Methods: Licensed services in three regions of New Zealand participated in an online survey, uploading a weekly menu where applicable. Menus were scored for compliance with guidelines on quantity, variety and quality of foods served. Bivariate and multivariate associations between menu score and service characteristics were analysed. Results: A total of 257 services participated (30% of 847 services invited). Food was provided daily in 56%, with 34% providing lunch and snacks daily. Of the 57 full menus analysed, only three (5%) met all 10 scoring criteria (mean score of 6.8/10). Higher menu scores were statistically associated with employing a cook, high and low (not medium) neighbourhood deprivation, the Heart Foundation's Healthy Heart Award program; there was no association with food costs. The Healthy Heart Award remained statistically associated with higher menu score after adjustment for other service characteristics. Conclusion: Most menus did not meet current nutrition guidelines for quantity, variety, and limiting ‘sometimes’ and ‘occasional’ foods. Implications for public health: This study provides a baseline for monitoring menu compliance in New Zealand and evidence for nutrition promotion and menu improvement programmes in early education.