"God was with me": A qualitative study of Christian meaning-making among refugees.

In this consensual qualitative research study, we investigated the role of refugees' Christian faith in meaning-making coping. High percentages of religiosity in refugee populations support the need to understand the role of religion in their coping processes. Interviews with 20 Christian refugees from 10 African and Asian countries revealed that participants drew heavily from their faith resources to cope with their experiences. Specifically, refugees reported coping practices that included trust in God, prayer, intimacy with God, spiritual surrender, lament, worship, and social support. Although many participants described spiritual struggles, including doubting God, feeling distant from God, and questioning God, most found meaning amid refugee-related suffering and reported perspective shifts, a deepening of faith, seeing suffering as part of God's plan, experiencing a deepened sense of purpose, and growing in the likeness of Christ. Refugees also reported growth through suffering in the form of gratitude, altruism, testimony, and humility. Clinical implications include encouraging the use of religious resources for meaning-making and supporting the resolution of spiritual struggles.

Guidance on the use of complex systems models for economic evaluations of public health interventions.

To help health economic modelers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modeling projects using these models. A working group of experts in complex systems modeling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review. A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modeling is needed; principles for designing a complex systems model; and how to choose an appropriate modeling technique. This paper provides a definition to identify and characterize complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.

Self-Isolation and Testing Behaviour During the COVID-19 Pandemic: An Agent-Based Model.

Since the beginning of the COVID-19 pandemic, various models of virus spread have been proposed. While most of these models focused on the replication of the interaction processes through which the virus is passed on from infected agents to susceptible ones, less effort has been devoted to the process through which agents modify their behaviour as they adapt to the risks posed by the pandemic. Understanding the way agents respond to COVID-19 spread is important, as this behavioural response affects the dynamics of virus spread by modifying interaction patterns. In this article, we present an agent-based model that includes a behavioural module determining agent testing and isolation propensity in order to understand the role of various behavioural parameters in the spread of COVID-19.

When suffering contradicts belief: measuring theodical struggling.

Global meaning systems help people make sense of their experiences, but suffering can violate global meaning and create distress. One type of potential violation is conflict between one's experience of suffering and one's deeply-held beliefs about God as loving, powerful, and just. The problem of theodicy-why an all-powerful and all-loving God would allow suffering-has long been an important theological and philosophical concern, but little is known about how theodicy plays out psychologically for religious individuals facing serious life difficulties. To address this issue within a specific religious tradition, Christianity, we drew upon philosophy, Christian theology, and psychology to develop the construct of theodical struggling. Through theological and philosophical input, we generated a 28-item pool and conducted 10 cognitive interviews with a diverse sample of Christian adults. In three consecutive online studies of Christian adult samples, we reduced the scale to 11 items through PCA, found a strong one-factor solution using EFA, and found support for the one-factor solution along with preliminary reliability and validity. This newly-developed Theodical Struggling Scale represents an important advance in understanding individuals' experiences of ruptures in their beliefs regarding God's goodness and paves the way for future research on this topic. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-023-04642-w.

Situating agent-based modelling in population health research.

Today's most troublesome population health challenges are often driven by social and environmental determinants, which are difficult to model using traditional epidemiological methods. We agree with those who have argued for the wider adoption of agent-based modelling (ABM) in taking on these challenges. However, while ABM has been used occasionally in population health, we argue that for ABM to be most effective in the field it should be used as a means for answering questions normally inaccessible to the traditional epidemiological toolkit. In an effort to clearly illustrate the utility of ABM for population health research, and to clear up persistent misunderstandings regarding the method's conceptual underpinnings, we offer a detailed presentation of the core concepts of complex systems theory, and summarise why simulations are essential to the study of complex systems. We then examine the current state of the art in ABM for population health, and propose they are well-suited for the study of the 'wicked' problems in population health, and could make significant contributions to theory and intervention development in these areas.

Testimony and meaning: A qualitative study of Black women with cancer diagnoses.

OBJECTIVE: Research has established religion and spirituality as important resources for Black people in the U.S. coping with adversity. Most research has been from an etic perspective, examining religious variables that are valid across multiple religions. In the present study, we asked what emic aspects of the Black church's practices and theological emphases women with cancer drew on in constructing meaning-making narratives from their cancer experience. METHOD: In this consensual qualitative research study, we interviewed 30 Black women with cancer histories with an average age of 64.5. RESULTS: The religious practice of testimony emerged as the predominant theme. Testimony (a) provided a meaningful purpose to the cancer experience; (b) had a specific content of describing what God had done in their lives as well as some common theological emphases; (c) had dual desired outcomes of helping others and bringing glory to God; and (d) had an associated practice of giving testimony. CONCLUSION: We discuss testimony as a narrative structure and highlight its importance in informing culturally sensitive interventions aimed at supporting Black women with cancer. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The impact of simulated patient death on medical students' stress response and learning of ACLS.

INTRODUCTION: There is considerable controversy as to whether the simulator should die during high-fidelity simulation (HFS). We sought to describe the physiologic and biochemical stress response induced by simulated patient death as well as the impact on long-term retention of Advanced Cardiovascular Life Support (ACLS) knowledge and skills. METHODS: Twenty-six subjects received an American Heart Association (AHA) ACLS provider course. Following the course, subjects participated in HFS and were randomized to simulated death or survival. Heart rate and salivary cortisol (SC) and dihydroepiandrosterone (DHEA) were collected at this time. Subjects returned six months later for a follow-up simulation in which ACLS knowledge and skills were tested. RESULTS: For all participants, there was an increase in heart rate during simulation compared with baseline heart rate (+ 32 beats/minute), p < 0.0001. Similarly, SC and DHEA were higher compared with baseline levels (+ 0.115 µg/dL, p <0.01 and + 97 pg/mL, p < 0.001, respectively). However, the only statistically significant difference between groups was an increase in heart rate response at the end of the simulation compared with baseline in the death group (+ 29.2 beats/minute versus + 18.5 beats/minute), p < 0.05. There was no difference on long-term knowledge or skills. CONCLUSIONS: Learners experience stress during high-fidelity simulation; however, there does not appear to be a readily detectable difference or negative response to a simulated patient death compared with simulated survival.

Nanobubble ultrasound contrast agents for enhanced delivery of thermal sensitizer to tumors undergoing radiofrequency ablation.

PURPOSE: Pluronic has been shown to sensitize various tumor cell lines to chemotherapy and hyperthermia by altering the membrane fluidity, depleting ATP, and modulating the heat shock protein 70 expression. In our prior work, Pluronic was also used to formulate nanosized ultrasound contrast agents. In the current study we evaluate the use of these contrast agents as vehicles for image-guided delivery of Pluronic to improve outcomes of tumor radiofrequency (RF) ablation. METHODS: Lipid-shelled Pluronic nanobubbles were prepared and examined for size distribution, zeta potential, stability, biodistribution, accumulation of nanobubbles in the tumor, and treatment efficacy. LS174-T xenograft tumor-bearing mice were used to evaluate tumor growth suppression and measure treatment efficacy after RF ablation. RESULTS: The average diameter of Pluronic bubbles was 230 nm, and initial bubble echogenicity was 16 dB. In vitro, cells exposed to Pluronic nanobubbles exhibited low cytotoxicity in the absence of ultrasound, even if heat (43 ºC) was applied. When the cells were exposed to Pluronic nanobubbles, heat, and ultrasound; viability was significantly reduced. In vivo, tumors treated with ultrasound-modulated nanobubbles prior to RF ablation showed a significant reduction in growth compared to the RF alone (P<0.05). CONCLUSION: Lipid and Pluronic-shelled, echogenic nanobubbles combined with ultrasound modulation can serve as an effective theranostic method for sensitization of tumors to RF ablation.

"God wastes nothing": A consensual qualitative study of coping among Catholic individuals with cancer diagnoses.

While religious meaning-making has been extensively studied, emic religious coping remains largely unexplored. This consensual qualitative research study explored Catholic cancer survivors' (N = 22) descriptions of drawing on their religious framework throughout their cancer journeys. Findings revealed distinctive Catholic resources such as the power of blessings, drawing comfort from the saints and sacraments, and "offering up" suffering as a form of spiritual surrender, suggesting the existence of underlying theodicies of divine purpose as well as potential clinical resources. While many participants described spiritual struggles and questions, most found meaning through deepening their faith, helping others, and re-examining their priorities. Exploratory mixed-method analyses suggest that questioning God may promote turning toward faith, while being angry at God is associated with difficulty in doing so. The findings have implications for research, pointing to emic practices that merit further study.

An agent-based model of social care provision during the early stages of Covid-19.

Social care is a frequent topic in UK policy debates, with widespread concern that the country will be unable to face the challenges posed by the increase in demand for social care. While this is a societal problem whose dynamics depends on long-term trends, such as the increase of human lifespans and the drop of birth-rates, a short-term crisis, such as a pandemic, can affect the need and supply of social care to a considerable, although temporary, extent. Building on previous modelling effort of social care provision, we present an agent-based computational model to investigate social care provision in the context of a pandemic (using as an example, the early stages of the Covid-19 pandemic), and related mitigation policies, on social care demand and supply, using a proof-of-concept agent-based model (ABM). We show how policy solutions aimed at controlling the pandemic may have substantial effects on the level of unmet social care need and propose that such models may help policymakers to compare alternative containment policies, taking into account their side effects on the social care provision process.

Using machine learning as a surrogate model for agent-based simulations.

In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs). Analysing agent-based modelling outputs can be challenging, as the relationships between input parameters can be non-linear or even chaotic even in relatively simple models, and each model run can require significant CPU time. Surrogate modelling, in which a statistical model of the ABM is constructed to facilitate detailed model analyses, has been proposed as an alternative to computationally costly Monte Carlo methods. Here we compare multiple machine-learning methods for ABM surrogate modelling in order to determine the approaches best suited as a surrogate for modelling the complex behaviour of ABMs. Our results suggest that, in most scenarios, artificial neural networks (ANNs) and gradient-boosted trees outperform Gaussian process surrogates, currently the most commonly used method for the surrogate modelling of complex computational models. ANNs produced the most accurate model replications in scenarios with high numbers of model runs, although training times were longer than the other methods. We propose that agent-based modelling would benefit from using machine-learning methods for surrogate modelling, as this can facilitate more robust sensitivity analyses for the models while also reducing CPU time consumption when calibrating and analysing the simulation.

Modelling transitions between egalitarian, dynamic leader and absolutist power structures.

Human groups show a variety of leadership dynamics ranging from egalitarian groups with no leader, to groups with changing leaders, to absolutist groups with a single long-term leader. Here, we model transitions between these different phases of leadership dynamics, investigating the role of inequalities in relationships between individuals. Our results demonstrate a novel riches-to-rags class of leadership dynamics where a leader can be replaced by a new individual. We note that the transition between the three different phases of leadership dynamics resembles transitions in leadership dynamics during the Neolithic period of human history. We argue how technological developments, such as food storage and/or weapons which allow one individual to control large quantities of resources, would mean that relationships became more unequal. In general terms, we provide a model of how individual relationships can affect leadership dynamics and structures.

Implementation of a Leave-behind Naloxone Program in San Francisco: A One-year Experience.

INTRODUCTION: In response to the ongoing opioid overdose crisis, US officials urged the expansion of access to naloxone for opioid overdose reversal. Since then, emergency medical services' (EMS) dispensing of naloxone kits has become an emerging harm reduction strategy. METHODS: We created a naloxone training and low-barrier distribution program in San Francisco: Project FRIEND (First Responder Increased Education and Naloxone Distribution). The team assembled an advisory committee of stakeholders and subject-matter experts, worked with local and state EMS agencies to augment existing protocols, created training curricula, and developed a naloxone-distribution data collection system. Naloxone kits were labeled for registration and data tracking. Emergency medical technicians and paramedics were asked to distribute naloxone kits to any individuals (patient or bystander) they deemed at risk of experiencing or witnessing an opioid overdose, and to voluntarily register those kits. RESULTS: Training modalities included a video module (distributed to over 700 EMS personnel) and voluntary, in-person training sessions, attended by 224 EMS personnel. From September 25, 2019-September 24, 2020, 1,200 naloxone kits were distributed to EMS companies. Of these, 232 kits (19%) were registered by EMS personnel. Among registered kits, 146 (63%) were distributed during encounters for suspected overdose, and 103 (44%) were distributed to patients themselves. Most patients were male (n = 153, 66%) and of White race (n = 124, 53%); median age was 37.5 years (interquartile range 31-47). CONCLUSION: We describe a successful implementation and highlight the feasibility of a low-threshold, leave-behind naloxone program. Collaboration with multiple entities was a key component of the program's success.

Zinc deficiency: A cause of opioid-induced physical dependence and addiction in post-operative total hip arthroplasty patients.

OBJECTIVES: Recently, opioid abuse and related overdoses have increased warranting the need for research directed against the opioid epidemic. Previous studies identified that patients on opioid therapy may become zinc deficient and that zinc, in a murine model, may antagonistically affect the opioid receptor.13 Further understanding the relationship between opioid use and zinc deficiency may mitigate the opioid epidemic. METHODS: A retrospective study was conducted to identify zinc (Zn2+) deficiencies among post-operative total hip arthroplasty (THA) patients. On post-operative day one, patients had routine blood tests, including Zn2+ plasma levels. Patients were considered Zn2+-deficient if their Zn2+ plasma was < 56 µg/dL (Reference: 56-134 µg/dL). Upon discharge from the hospital, the patients' inpatient opioid medication consumption per day was determined by dividing total morphine milligram equivalents (MMEs) by length of stay. A Student's t-test was performed to compare the total MMEs for Zn2+-deficient patients versus Zn2+-normal patients. A univariate analysis followed by multiple linear regression was performed to identify demographic or surgical predictors of MMEs/day. RESULTS: For Zn2+-deficient patients, the total MMEs/day was 33.62 ( ± 27.06), as compared to Zn2+-normal patients who consumed 16.22 ( ±16.01) MMEs/day (p = 0.031). The univariate analysis and multiple linear regression showed that patients' Zn2+ status had a significant contribution toward predicting MMEs/day, with p = 0.022 and p = 0.04, re-spectively. CONCLUSION: The results of this study suggest that Zn2+ deficiency may potentiate opioid consumption. Thus, Zn2+ sup-plementation may be a simple approach to reducing opioid addiction and dependence.

Social and child care provision in kinship networks: An agent-based model.

Providing for the needs of the vulnerable is a critical component of social and health policy-making. In particular, caring for children and for vulnerable older people is vital to the wellbeing of millions of families throughout the world. In most developed countries, this care is provided through both formal and informal means, and is therefore governed by complex policies that interact in non-obvious ways with other areas of policy-making. In this paper we present an agent-based model of social and child care provision in the UK, in which agents can provide informal care or pay for private care for their relatives. Agents make care decisions based on numerous factors including their health status, employment, financial situation, and social and physical distance to those in need. Simulation results show that the model can produce plausible patterns of care need and availability, and therefore can provide an important aid to this complex area of policy-making. We conclude that the model's use of kinship networks for distributing care and the explicit modelling of interactions between social care and child care will enable policy-makers to develop more informed policy interventions in these critical areas. "The moral test of government is how it treats those who are in the dawn of life, the children; those who are in the twilight of life, the aged; and those in the shadows of life, the sick, the needy and the handicapped." - Hubert Humphrey Jr.

"The Most Dangerous Strain".

Socioeconomic inequities have direct implications in COVID presentation, severity of illness and prognosis. From practice of prophylactic measures to availability of personal protective equipment, from access to diagnostic tests to treatment resources, there are many facets and distinct disease processes of a virus that, among many things, serves to expose and highlight our global disparities.

Electroconvulsive Therapy for Patients with Catatonia: Current Perspectives.

Catatonia is a serious, common syndrome of motoric and behavioral dysfunction, which carries high morbidity and mortality. Electroconvulsive therapy (ECT) is the definitive treatment for catatonia, but access to ECT for the treatment of catatonia remains inappropriately limited. Catatonia is observable, detectable, and relevant to various medical specialties, but underdiagnosis impedes the delivery of appropriate treatment and heightens risk of serious complications including iatrogenesis. Current understanding of catatonia's pathophysiology links it to the current understanding of ECT's mechanism of action. Definitive catatonia care requires recognition of the syndrome, workup to identify and treat the underlying cause, and effective management including appropriate referral for ECT. Even when all of these conditions are met, and despite well-established data on the safety and efficacy of ECT, stigma surrounding ECT and legal restrictions for its use in catatonia are additional critical barriers. Addressing the underdiagnosis of catatonia and barriers to its treatment with ECT is vital to improving outcomes for patients. While no standardized protocols for treatment of catatonia with ECT exist, a large body of research guides evidence-based care and reveals where additional research is warranted. The authors conducted a review of the literature on ECT as a treatment for catatonia. Based on the review, the authors offer strategies and future directions for improving access to ECT for patients with catatonia, and propose an algorithm for the treatment of catatonia with ECT.

The efficacy of ketamine for postoperative pain control in adolescent patients undergoing spinal fusion surgery for idiopathic scoliosis.

The use of ketamine in conjunction with morphine to reduce postoperative pain has been explored in several different surgery subtypes with conflicting results. Ketamine has shown promise to have both opioid sparing and analgesic effects in the postoperative setting. This study aimed to elucidate ketamine's ability to reduce morphine equivalent consumption and improve patient satisfaction after spinal fusion surgery for the correction of idiopathic scoliosis. This surgery is known to be associated with significant postoperative pain which impedes the ability to improve patient satisfaction, and may complicate the recovery timeline. Currently, the standard therapeutic regimen consists of patient-controlled analgesia morphine and the use of other opioids such as hydromorphone. A prospective, randomized double-blinded, placebo-controlled trial was performed to compare the standard morphine equivalent therapy alone against a standard therapy in conjunction with ketamine. Fifty adolescent patients were enrolled and randomized. Results yielded a significant reduction in postoperative morphine equivalent consumption (p = 0.042), adjusted postoperative pain scores (p < 0.001), and incidence of nausea and vomiting (p = 0.045). The application of ketamine as an analgesic in conjunction with the current standard of morphine equivalent therapy may serve as a superior pain control regimen for spinal surgeries in young population. This regimen enhancement may be generalizable to other surgery subtypes within similar populations. LEVEL OF EVIDENCE: Level I.