hglobal-Index: A Novel Author-Level Measure of the Diffusion of Scientific Ideas Among High-, Low-, and Middle-Income Countries.

OBJECTIVE: To describe an intuitive and useful method for measuring the global impact of a medical scholar's research ideas by examining cross-border citations (CBCs) of peer-reviewed neurosurgical publications. METHODS: Publication and citation data for a random sample of the top 50 most academically productive neurosurgeons were obtained from Scopus Application Programming Interface. We characterized an author-level global impact index analogous to the widely used h-index, the hglobal-index, defined as the number of published peer-reviewed manuscripts with at least the same number of CBCs. To uncover socioeconomic insights, we explored the hglobal-index for high-, middle-, and low-income countries. RESULTS: The median (interquartile range) number of publications and CBCs were 144 (62-255) and 2704 (959-5325), respectively. The median (interquartile range) h-index and hglobal-index were 42 (23-61) and 32 (17-38), respectively. Compared with neurosurgeons in the random sample, the 3 global neurosurgeons had the highest hglobal-indices in low-income countries at 17, 13, and 9, despite below-average h-index scores of 33, 38, and 19, respectively. CONCLUSION: This intuitive update to the h-index uses CBCs to measure the global impact of scientific research. The hglobal-index may provide insight into global diffusion of medical ideas, which can be used for social science research, author self-assessment, and academic promotion.

Scaling up antivenom for snakebite envenoming in the Brazilian Amazon: a cost-effectiveness analysis.

Background: Snakebite envenoming (SBE) affects nearly three million people yearly, causing up to 180,000 deaths and 400,000 cases of permanent disability. Brazil's state of Amazonas is a global hotspot for SBE, with one of the highest annual incidence rates per 100,000 people, worldwide. Despite this burden, snake antivenom remains inaccessible to a large proportion of SBE victims in Amazonas. This study estimates the costs, and health and economic benefits of scaling up antivenom to community health centers (CHCs) and hospitals in the state. Methods: We built a decision tree model to simulate three different antivenom scale-up scenarios: (1) scale up to 95% of hospitals, (2) scale up to 95% of CHCs, and (3) scale up to 95% of hospitals and 95% of CHCs. We consider each scenario with and without a 10% increase in demand for antivenom among SBE victims. For each scenario, we model the treatment costs averted, deaths averted, and disability-adjusted life years (DALYs) averted from a societal, health system, and patient perspective relative to the status quo and over a time horizon of one year. For each scenario and perspective, we also calculate the incremental cost per DALY averted and per death averted. We use a willingness to pay threshold equal to the 2022 gross domestic product (GDP) per capita of Brazil. Findings: Scaling up antivenom to 95% of hospitals averts up to 2022 DALYs, costs up to USD $460 per DALY averted from a health system perspective, but results in net economic benefits up to USD $4.42 million from a societal perspective. Scaling up antivenom to 95% of CHCs averts up to 3179 DALYs, costs up to USD $308 per DALY averted from a health system perspective, but results in net economic benefits up to USD $7.35 million from a societal perspective. Scaling up antivenom to 95% of hospitals and CHCs averts up to 3922 DALYs, costs up to USD $328 per DALY averted from a health system perspective, but results in net economic benefits up to USD $8.98 million from a societal perspective. Interpretation: All three antivenom scale up scenarios - scale up to 95% of hospitals, scale up to 95% of CHCs, and scale up to 95% of hospitals and 95% of CHCs - avert a substantial proportion of the SBE burden in Amazonas and are cost-saving from a societal perspective and cost-effective from a health system perspective. Funding: W.M. and J.S. were funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq productivity scholarships). W.M. was funded by Fundação de Amparo à Pesquisa do Estado do Amazonas (PRÓ-ESTADO, call n. 011/2021-PCGP/FAPEAM, call n. 010/2021-CT&I ÁREAS PRIORITÁRIAS, call n. 003/2022-PRODOC/FAPEAM, POSGRAD/FAPEAM) and by the Ministry of Health, Brazil (Proposal No. 733781/19-035). Research reported in this publication was supported by the Fogarty International Center of the National Institutes of Health under Award Number R21TW011944. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

A feasibility assessment of a traumatic brain injury predictive modelling tool at Kilimanjaro Christian Medical Center and Duke University Hospital.

Traumatic brain injury (TBI) is the most common cause of death and disability globally. TBI, which disproportionately affects low middle-income countries (LMIC), uses significant amounts of health system resources in costly care and management. Innovative solutions are required to address this high burden of TBI. One possible solution is prognostic models which enhance diagnostic ability of physicians, thereby helping to tailor treatments more effectively. This study aims to evaluate the feasibility of a TBI prognostic model developed in Tanzania for use by Kilimanjaro Christian Medical Center (KCMC) healthcare providers and Duke-affiliated healthcare providers using human centered design methodology. Duke participants were included to gain insight from a different context with more established practices to inform the TBI tool implementation strategy at KCMC. To evaluate the feasibility of integrating the TBI tool into potential workflows, co-design interviews were conducted with emergency physicians and nursing staff at KCMC and Duke. Qualitatively, the TBI tool was assessed using human centered design (HCD) techniques. Our research design methods were created using the Consolidated Framework for Implementation Research which considers overarching characteristics of successful implementation to contribute to theory development and verification of implementation strategies across multiple contexts. Our knowledge translation method was guided using the knowledge-to-action framework. Of the 21 participants interviewed, 12 were associated with Duke Hospital, and 9 from Kilimanjaro Christian Medical Centre. Emerging from the data were 6 themes that impacted the implementation of the TBI tool: access, barriers, facilitators, use of the TBI tool, outer setting, and inner setting. To our knowledge, this is the first study to investigate the pre-implementation of a sub-Saharan Africa (SSA) data- based TBI prediction tool using human centered design methodology. Findings of this study will aid in determining under what conditions a TBI prognostic model intervention will work at KCMC.

Optimizing a Drone Network to Respond to Opioid Overdoses.

Introduction:Effective out-of-hospital administration of naloxone in opioid overdoses is dependent on timely arrival of naloxone. Delays in emergency medical services (EMS) response time could potentially be overcome with drones to deliver naloxone efficiently to the scene for bystander use. Our objective was to evaluate a mathematical optimization simulation for geographical placement of drone bases in reducing response time to opioid overdose. Methods: Using retrospective data from a single EMS system from January 2016-February 2019, we created a geospatial drone-network model based on current technological specifications and potential base locations. Genetic optimization was then used to maximize county coverage by drones and the number of overdoses covered per drone base. From this model, we identified base locations that minimize response time and the number of drone bases required. Results: In a drone network model with 2,327 opioid overdoses, as the number of modeled drone bases increased the calculated response time decreased. In a geospatially optimized drone network with four drone bases, response time compared to ambulance arrival was reduced by 4 minutes 38 seconds and covered 64.2% of the county. Conclusion: In our analysis we found that in a mathematical model for geospatial optimization, implementing four drone bases could reduce response time of 9-1-1 calls for opioid overdoses. Therefore, drones could theoretically improve time to naloxone delivery.

Evaluating the status of the Lancet Commission on Global Surgery indicators for India.

For universal surgical, obstetric, trauma, and anesthesia care by 2030, the Lancet Commission on Global Surgery (LCoGS) suggested tracking six indicators. We reviewed academic and policy literature to investigate the current state of LCoGS indicators in India. There was limited primary data for access to timely essential surgery, risk of impoverishing and catastrophic health expenditures due to surgery, though some modeled estimates are present. Surgical specialist workforce estimates are heterogeneous across different levels of care, urban and rural areas, and diverse health sectors. Surgical volumes differ widely across demographic, socio-economic, and geographic cohorts. Perioperative mortality rates vary across procedures, diagnoses, and follow-up time periods. Available data suggest India falls short of achieving global targets. This review highlights the evidence gap for India's surgical care planning. India needs a systematic subnational mapping of indicators and adaptation of targets as per the country's health needs for equitable and sustainable planning.

Children Growing Up with Severe Disabilities as a Result of Snakebite Envenomations in Indigenous Villages of the Brazilian Amazon: Three Cases and Narratives.

Snakebites are a major public health problem in the Brazilian Amazon and may lead to local complications and physical deficiencies. Access to antivenom treatment is poorer in indigenous populations compared to other populations. In this study, we report three cases of long-term severe disabilities as a result of Bothrops atrox snakebites in indigenous children, according to the narratives of the parents. The three cases evolved to compartment syndrome, secondary bacterial infection and extensive necrosis. The cases are associated with delayed antivenom treatment due to very fragmented therapeutic itineraries, which are marked by several changes in means of transport along the route. The loss of autonomy at such an early stage of life due to a disability caused by a snakebite, as observed in this study, may deprive children of sensory and social experiences and of learning their future roles in the community. In common to all cases, there was precarious access to rehabilitation services, which are generally centralized in the state capital, and which leads to a prolonged hospitalization of patients with severe snakebite, and distances them from their territory and family and community ties. Prospective studies should be conducted in the Amazon that estimate the burden of disabilities from snakebites in order to formulate public policies for the treatment and rehabilitation of patients through culturally tailored interventions.

"Two Cultures in Favor of a Dying Patient": Experiences of Health Care Professionals Providing Snakebite Care to Indigenous Peoples in the Brazilian Amazon.

In the Brazilian Amazon, deaths and disabilities from snakebite envenomations (SBEs) are a major and neglected problem for the indigenous population. However, minimal research has been conducted on how indigenous peoples access and utilize the health system for snakebite treatment. A qualitative study was conducted to understand the experiences of health care professionals (HCPs) who provide biomedical care to indigenous peoples with SBEs in the Brazilian Amazon. Focus group discussions (FGDs) were carried out in the context of a three-day training session for HCPs who work for the Indigenous Health Care Subsystem. A total of 56 HCPs participated, 27 in Boa Vista and 29 in Manaus. Thematic analysis resulted in three key findings: Indigenous peoples are amenable to receiving antivenom but not to leaving their villages for hospitals; HCPs require antivenom and additional resources to improve patient care; and HCPs strongly recommend a joint, bicultural approach to SBE treatment. Decentralizing antivenom to local health units addresses the central barriers identified in this study (e.g., resistance to hospitals, transportation). The vast diversity of ethnicities in the Brazilian Amazon will be a challenge, and additional studies should be conducted regarding preparing HCPs to work in intercultural contexts.

Corticosteroid Randomization after Significant Head Injury and International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury Models Compared with a Machine Learning-Based Predictive Model from Tanzania.

Hospitals in low- and middle-income countries (LMICs) could benefit from decision support technologies to reduce time to triage, diagnosis, and surgery for patients with traumatic brain injury (TBI). Corticosteroid Randomization after Significant Head Injury (CRASH) and International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury (IMPACT) are robust examples of TBI prognostic models, although they have yet to be validated in Sub-Saharan Africa (SSA). Moreover, machine learning and improved data quality in LMICs provide an opportunity to develop context-specific, and potentially more accurate, prognostic models. We aim to externally validate CRASH and IMPACT on our TBI registry and compare their performances to that of the locally derived model (from the Kilimanjaro Christian Medical Center [KCMC]). We developed a machine learning-based prognostic model from a TBI registry collected at a regional referral hospital in Moshi, Tanzania. We also used the core CRASH and IMPACT online risk calculators to generate risk scores for each patient. We compared the discrimination (area under the curve [AUC]) and calibration before and after Platt scaling (Brier, Hosmer-Lemeshow Test, and calibration plots) for CRASH, IMPACT, and the KCMC model. The outcome of interest was unfavorable in-hospital outcome defined as a Glasgow Outcome Scale score of 1-3. There were 2972 patients included in the TBI registry, of whom 11% had an unfavorable outcome. The AUCs for the KCMC model, CRASH, and IMPACT were 0.919, 0.876, and 0.821, respectively. Prior to Platt scaling, CRASH was the best calibrated model (χ2 = 68.1) followed by IMPACT (χ2 = 380.9) and KCMC (χ2 = 1025.6). We provide the first SSA validation of the core CRASH and IMPACT models. The KCMC model had better discrimination than either of these. CRASH had the best calibration, although all model predictions could be successfully calibrated. The top performing models, KCMC and CRASH, were both developed using LMIC data, suggesting that locally derived models may outperform imported ones from different contexts of care. Further work is needed to externally validate the KCMC model.

"I Don't Do Anything; I'm Just Being Taken Care Of": Experiences of Patients and Their Caregivers Transitioning Back into the Community Following Traumatic Injury in Northern Tanzania.

After discharge from the hospital for traumatic injury, patients and their caregivers face a period of increased vulnerability. This adjustment phase is poorly characterized, especially in low- and middle-income countries. We explored the experiences of patients and their caregivers in Northern Tanzania after hospitalization for a traumatic injury. Patients who received care for traumatic injury at the Kilimanjaro Christian Medical Center and their caregivers were selected as part of a convenience sample from January 2019 to December 2019. Analysts developed a codebook; content and analytic memos were subsequently created. We then applied the biopsychosocial model to further characterize our findings. Participants included 26 patients and 11 caregivers. Patients were mostly middle-aged (mean age 37.7) males (80.8%), residing in urban settings (57.7%), injured in road traffic accidents (65.4%), and who required surgery (69.2%). Most caregivers were female. Seven major themes arose: pain, decreased physical functioning, poor emotional health, lack of support, challenges with daily activities, financial strain, and obstacles to accessing healthcare. This study describes some of the difficulties transitioning back into the community after hospitalization for traumatic injury. Our work demonstrates the importance of mixed methods approaches in characterizing and addressing transitions of care challenges.

Emergency Care Gap in Brazil: Geographical Accessibility as a Proxy of Response Capacity to Tackle COVID-19.

Background: The new coronavirus disease (COVID-19) has claimed thousands of lives worldwide and disrupted the health system in many countries. As the national emergency care capacity is a crucial part of the COVID-19 response, we evaluated the Brazilian Health Care System response preparedness against the COVID-19 pandemic. Methods: A retrospective and ecological study was performed with data retrieved from the Brazilian Information Technology Department of the Public Health Care System. The numbers of intensive care (ICU) and hospital beds, general or intensivist physicians, nurses, nursing technicians, physiotherapists, and ventilators from each health region were extracted. Beds per health professionals and ventilators per population rates were assessed. A health service accessibility index was created using a two-step floating catchment area (2SFCA). A spatial analysis using Getis-Ord Gi* was performed to identify areas lacking access to high-complexity centers (HCC). Results: As of February 2020, Brazil had 35,682 ICU beds, 426,388 hospital beds, and 65,411 ventilators. In addition, 17,240 new ICU beds were created in June 2020. The South and Southeast regions have the highest rates of professionals and infrastructure to attend patients with COVID-19 compared with the northern region. The north region has the lowest accessibility to ICUs. Conclusions: The Brazilian Health Care System is unevenly distributed across the country. The inequitable distribution of health facilities, equipment, and human resources led to inadequate preparedness to manage the COVID-19 pandemic. In addition, the ineffectiveness of public measures of the municipal and federal administrations aggravated the pandemic in Brazil.

The Impact of Violence on the Anxiety Levels of Healthcare Personnel During the COVID-19 Pandemic.

Introduction: The COVID-19 pandemic stressed the importance of healthcare personnel. However, there is evidence of an increase in violence against them, which brings consequences, such as anxiety. The aim of this study was to analyze the anxiety levels of health professionals who have or not suffered violence during the COVID-19 pandemic, and verify the variables associated with the risk of starting to take medication for anxiety. Methods: We assessed the anxiety profile of health professionals in Brazil through an online questionnaire, using the Generalized Anxiety Disorder 7-item Scale (GAD-7), in relation to groups of participants who have or not suffered violence during the COVID-19 pandemic. We used Cronbach's alpha reliability coefficient to check the consistency of the responses, and the effect size using the r coefficient. Principal Component Analysis was used to verify the differences in anxiety scores between the two groups. Logistic regression analysis was also used to verify the variables associated with the risk of starting medication for anxiety and considered statistically significant when p < 0.05. Results: A total of 1,166 health professionals participated in the study, in which 34.13% had a normal anxiety profile, 40.14% mild, 15.78% moderate, and 9.95% severe. The mean score of the sum of the GAD-7 was 7.03 (SD 5.20). The group that suffered violence had a higher mean (8.40; SD 5.42) compared to the group that did not (5.70; SD 4.60). In addition, the median between both groups was significantly different (7.0 vs. 5.0; p < 0.01). Approximately 18.70% of the participants reported having started taking medication to treat anxiety during the pandemic. The factors that increased the chances of these professionals starting medication for anxiety p < 0.05 were having suffered violence during the pandemic (OR 1.97; 95% CI 1.42-2.77), being nurses (OR 1.61; 95% CI 1.04-2.47) or other types of health professionals (OR 1.58; 95% CI 1.04-2.38), and having a mild (OR 2.11; 95% CI 1.37-3.34), moderate (OR 4.05; 95% CI 2.48-6.71) or severe (OR 9.08; 95% CI 5.39-15.6) anxiety level. Conclusion: Brazilian healthcare professionals who have suffered violence during the pandemic have higher anxiety scores and higher risk to start taking anxiety medication.

Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework.

Existing campaign-based healthcare delivery programs used for immunization often fall short of established health coverage targets due to a lack of accurate estimates for population size and location. A microplan, an integrated set of detailed planning components, can be used to identify this information to support programs such as equitable vaccination efforts. Here, we presents a series of steps necessary to create an artificial intelligence-based framework for automated microplanning, and our pilot implementation of this analysis tool across 29 countries of the Americas. Further, we describe our processes for generating a conceptual framework, creating customized catchment areas, and estimating up-to-date populations to support microplanning for health campaigns. Through our application of the present framework, we found that 68 million individuals across the 29 countries are within 5 km of a health facility. The number of health facilities analyzed ranged from 2 in Peru to 789 in Argentina, while the total population within 5 km ranged from 1,233 in Peru to 15,304,439 in Mexico. Our results demonstrate the feasibility of using this methodological framework to support the development of customized microplans for health campaigns using open-source data in multiple countries. The pandemic is demanding an improved capacity to generate successful, efficient immunization campaigns; we believe that the steps described here can increase the automation of microplans in low resource settings.

Smart Check - COVID-19 triage system: Evaluation of the impact on the screening time and identification of clinical manifestations of SARS-CoV-2 infection in a public health service.

INTRODUCTION: Most patients with COVID-19 have mild or moderate manifestations; however, there is a wide spectrum of clinical presentations and even more severe repercussions that require high diagnostic suspicion. Vital sign acquisition and monitoring are crucial for detecting and responding to patients with COVID-19. OBJECTIVE: Thus, we conducted this study to demonstrate the impact of using a tool called Smart Check on the triage time of patients with suspected COVID-19 and to identify the main initial clinical manifestations in these patients. METHODOLOGY: We assessed triage times before and after the use of Smart Check in 11 466 patients at Hospital Nossa Senhora da Conceição in Porto Alegre, Brazil, from 1 June to 31 July 2020. In this group, we identified 220 patients for the identification of COVID-19 clinical manifestations in a case-control analysis. RESULTS: Smart Check was able to decrease the triage time by 33 seconds on average (P < .001), with 75% of the exams being performed within 5 minutes, whereas with the usual protocol these steps were performed within 6 minutes. A range of clinical presentations made up the COVID-19 initial manifestations. Those with the highest frequency were dry cough (46.4%), fever (41.3%), dyspnoea (35.8%), and headache (31.8%). Loss of appetite was the manifestation that had a statistically significant association with the SARS-CoV-2 presence (univariate analysis). When analysed together, loss of appetite associated with dyspnoea and/or ageusia and/or fever was related to the diagnosis of COVID-19. CONCLUSIONS: Smart Check, a simple clinical evaluation tool, along with the targeted use of rapid PCR testing, can optimise triage time for patients with and without COVID-19. In triage centres, a number of initial signs and symptoms should be cause for SARS-CoV-2 infection suspicion, in particular the association of respiratory, neurological, and gastrointestinal manifestations.

Parâmetros psicométricos da Prosocial and Antisocial Behavior Sport Scale (PABSS) para o contexto brasileiro / Parámetros psicométricos de la Prosocial and Antisocial Behavior Sport Scale (PABSS) para el contexto brasileño / Prosocial and Antisocial Behavior Sport Scale (PABSS) in Brazil Psychometric parameters of the Prosocial and Antisocial Behavior Sport Scale (PABSS) for the Brazilian context

Resumo Contar com uma medida psicometricamente adequada para a avaliação dos comportamentos moralmente relevantes de atletas é importante para fomentar pesquisas e viabilizar estratégias de intervenção eficazes. O objetivo da presente pesquisa foi estimar propriedades psicométricas da Prosocial and Antisocial Behavior Sport Scale (PABSS) para o contexto brasileiro. A amostra foi composta por 360 atletas de ambos os sexos (idade média 16.1 ± 3.61; 64.7 % homens). A análise fatorial exploratória indicou a pertinência da estrutura composta por quatro fatores: (1) comportamento pró-social direcionado aos companheiros de equipe (CPC); (2) comportamento pró-social direcionado aos adversários (CPA); (3) comportamento antissocial direcionado aos companheiros de equipe (CAC); (4) comportamento antissocial direcionado aos adversários (CAA), explicando conjuntamente 66.1 % da variância total, o que corrobora a hipótese teórica. Adicionalmente, a análise fatorial semiconfirmatória apresentou comprovação do modelo composto por quatro fatores: [(X1 = 126.685, gl = 116. p = .234; X2/gl = 1.09; CFI = 0.998 (IC 95 % = 0.997-0.999); GFI = 0.991 (IC 95 % = 0.997- 0.999); RMSEA = 0.018 (IC 95 °% = 0.016-0.020)]. Todos os fatores apresentaram índices desejáveis de consistência interna, alfa de Cronbach superiores a .78 e ômega de Mcdonald superiores a .88. Também foram observadas as associações entre comportamento moral e valores no esporte. Conclui-se que a versão brasileira da PABSS reúne evidências psicométricas adequadas, podendo ser utilizada em estudos futuros.

Resumen Contar con una medida psicométrica apropiada para evaluar los comportamientos moralmente relevantes de los atletas es importante para fomentar la investigación y permitir estrategias de intervención efectivas. El objetivo de esta investigación fue estimar las propiedades psicométricas de la Prosocial and Antisocial Behavior Sport Scale (PABSS) para el contexto brasileño. La muestra consistió en 360 atletas de ambos sexos (promedio de edad 16.1 ± 3.61; 64.7 % hombres). El análisis factorial exploratorio indicó la relevancia de la estructura que consta de cuatro factores: (1) Comportamiento prosocial dirigido a compañeros de equipo (CPC); (2) Comportamiento prosocial dirigido a oponentes (CPA); (3) Comportamiento antisocial dirigido a compañeros de equipo (CAC); (4) Comportamiento antisocial dirigido a oponentes (CAA), explicando conjuntamente el 66.1 % de la varianza total, lo que corrobora la hipótesis teórica. Además, el análisis factorial semiconfirmatorio mostró pruebas del modelo compuesto por cuatro factores: [(X2 = 126.685, gl = 116, p = .234; X2/gl = 1.09; CFI = 0.99 (IC 95% = 0.997-0.999); GFI = 0.99 (IC 95 % = 0.997-0.999); RMSEA = 0.018 (IC 95 % = 0.016-0.020)]. Todos los factores tenían índices de consistencia interna alfa de Cronbach deseables mayores a 0.78 y omega de McDonald mayores a 0.88. También se observaron asociaciones entre el comportamiento moral y los valores en el deporte. En conclusión, la versión brasileña del PABSS reúne evidencia psicométrica adecuada y puede ser utilizada en futuros estudios.

Abstract Having an appropriate psychometric measure for assessing the morally relevant behaviors of athletes is important to encourage research and enable effective intervention strategies. The aim of this research was to verify the psychometric properties of the Prosocial and Antisocial Behaviors Sport Scale (PABSS) for the Brazilian context. The sample consisted of 360 athletes of both sexes (average age 16.1±3.61; 64.7% men). The exploratory factorial analysis indicated the adequacy of the structure comprising four factors: 1) Prosocial behavior directed to teammates (CPC) 2) Prosocial behavior directed to opponents (CPA); (3) Anti-social behavior directed to teammates (CAC); (4) Anti-social behavior directed to opponents (CAA), which jointly explains 66.1% of the total variance, thus corroborating the theoretical hypothesis. In addition, Semi-confirmatory Factor Analysis showed evidence of the four-factor model: [(X2= 126.685, gl= 116, p = .234; X2/gl= 1.09; CFI= 0.99 (IC 95%= 0.997-0.999); GFI= 0.99 (IC 95% = 0.997- 0.999); RMSEA= 0.018 (IC 95%= 0.016-0.020)]. All factors had desirable internal consistency indexes of Cronbach's alpha greater than 0.78 and McDonald's Omega greater than 0.80. Associations between moral behavior and values in sports were also observed. In conclusion, the Brazilian version of the PABSS presented adequate psychometric evidence and can be used in future studies.

Influence of the global crisis of 2008 and the brazilian political oscillations of 2014 on suicide rates: An analysis of the period from 2002 to 2017.

Global suicide rates have increased in recent decades becoming a serious social and public health problem. In Brazil, rates have been increasing annually. We aimed to analyze the correlation between suicide mortality rates and global economic and political crisis periods of 2008 and 2014 in Brazil. The analysis of suicide mortality in Brazil was done using a time-series segmented linear regression model that estimated the trend of rates over time. To obtain the model, changes in the trend of both abrupt and gradual suicide rates were investigated. The results indicate statistically significant changes showing an upward trend of suicide rates during the world economic crisis (2008-2013) and during the economic and political crisis in Brazil (2014-2017) compared to previous periods, especially at the extremes of schooling (3 < years and > 8 years). Among white and parda, there were significant trend rates increases in both periods and in different regions. In the Northeast and South regions, we observed a significant increase in the trend rate for males after the Brazilian economic and political crisis (2014 to 2017). We can conclude that the national suicide rates were influenced by the economic and political instability that our country has been going through since 2008, affecting each region differently. Further studies are needed to explore the reasons for interregional differences and the relation of suicide with unemployment rates and possible economic predictors.

A prospective blinded comparison of second trimester fetal measurements by expert and novice readers using low-cost novice-acquired 3D volumetric ultrasound.

RATIONALE AND OBJECTIVES: Two-dimensional (2D) ultrasound (US) is operator dependent, requiring operator skill and experience to selectively identify and record planes of interest for subsequent interpretation. This limits the utility of US in settings in which expert sonographers are unavailable. Three-dimensional (3D) US acquisition of an anatomic target, which enables reconstruction of any plane through the acquired volume, might reduce operator dependence by providing any desired image plane for interpretation, without identification of target planes of interest at the time of acquisition. We applied a low-cost 3DUS technology because of the wider potential application compared with dedicated 3DUS systems. We chose second trimester fetal biometric parameters for study because of their importance in maternal-fetal health globally. We hypothesized that expert and novice interpretations of novice-acquired 3D volumes would not differ from each other nor from expert measurements of expert-acquired 2D images, the clinical reference standard. MATERIALS AND METHODS: This was a prospective, blinded, observational study. Expert sonographers blinded to 3DUS volumes acquired 2DUS images of second trimester fetuses from 32 subjects, and expert readers performed interpretation, during usual care. A novice sonographer blinded to other clinical data acquired oriented 3DUS image volumes of the same subjects on the same date. Expert readers blinded to other data assessed placental location (PL), fetal presentation (FP), and amniotic fluid volume (AFV) in novice-acquired 3D volumes. Novice and expert raters blinded to other data independently measured biparietal diameter (BPD), humerus length (HL), and femur length (FL) for each fetus from novice-acquired 3D volumes. Corresponding gestational age (GA) estimates were calculated. Inter-rater reliability of measurements and GAs (expert 3D versus expert 2D, novice 3D versus expert 2D, and expert 3D versus novice 3D) were assessed by intraclass correlation coefficient (ICC). Mean inter-rater measurement differences were analyzed using one-way ANOVA. RESULTS: 3D volume acquisition and reconstruction required mean 30.4 s (±5.7) and 70.0 s (±24.0), respectively. PL, FP, and AFV were evaluated from volumes for all subjects; mean time for evaluation was 16 s (±0.0). PL, FP, and AFV could be evaluated for all subjects. At least one biometric measurement was possible for 31 subjects (97%). Agreement between rater pairs for a composite of all measures was excellent (ICCs ≥ 0.95), and for individual measures was good to excellent (ICCs ≥ 0.75). Inter-rater differences were not significant (p > .05). CONCLUSIONS: Expert and novice interpretations of novice-acquired 3DUS volumes of second trimester fetuses provided reliable biometric measures compared with expert interpretation of expert-acquired 2DUS images. 3DUS volume acquisition with a low-cost system may reduce operator dependence of ultrasound.

Alcohol-Related Risky Behavior Patterns and Their Association With Alcohol Use and Perceived Alcohol Stigma in Moshi, Tanzania.

OBJECTIVE: The Kilimanjaro region has one of the highest rates of reported alcohol use per capita in Tanzania. Alcohol-related risky behaviors pose substantial threats to the health and well-being of alcohol users and the people around them. This study seeks to understand how alcohol-related risky behaviors co-occur with other risky behaviors. METHOD: Latent class analysis (LCA) was applied to examine alcohol-related risky behaviors. The optimal number of latent classes was confirmed by using model fit indices. Negative binomial models were used to test latent classes and their association with harmful and hazardous drinking and perceived alcohol stigma. With the model defined, we explored each class's drinking patterns and risky behavior patterns. RESULTS: A total of 622 (60% male) of 841 participants were included in these analyses because they drank alcohol at least once in their lifetime. Three classes of risky behavior patterns were identified: Class 1, "Limited risk behaviors" (59.7%); Class 2, "Primarily foolish behaviors" (25.6%); and Class 3, "Pervasive risk behaviors" (13.1%). Class 3 had the most alcohol use quantity and frequency. No association between classes and alcohol stigma was found. Compared with males, females are less likely to be classified in Class 2 and 3. CONCLUSIONS: Three different classes of risky behaviors became apparent and were distinguished by gender, age, and personal alcohol use. Our findings suggest a potential role for personalized interventions based on latent classes specifically to reduce risk behaviors.

Alcohol Availability, Cost, Age of First Drink, and Its Association with At-Risk Alcohol Use in Moshi, Tanzania.

BACKGROUND: The Kilimanjaro region has one of the highest levels of reported alcohol intake per capita in Tanzania. Age at first drink has been found to be associated with alcohol problems in adulthood, but there is less information on the age of first drink in the Kilimanjaro region and its associations with alcohol-related consequences later in life. Furthermore, local alcohol cost and availability may influence the prevalence of alcohol use and alcohol use disorders. METHODS: Data on the age of first drink, alcohol use disorder identification tool (AUDIT), number and type of alcohol consequences (DrInC), and perceived alcohol at low cost and high availability for children and adolescents were collected from an alcohol and health behavior survey of injury patients (N = 242) in Moshi, Tanzania. Generalized linear models were used to test age at first drink, perceived alcohol cost and availability, and their association with the AUDIT and DrInC scores, and current alcohol use, respectively. RESULTS: Consuming alcohol before age 18 was significantly associated with higher AUDIT and DrInC scores, with odds ratios of 1.22 (CI: 1.004, 1.47) and 1.72 (CI: 1.11, 2.63), respectively. Female gender is strongly associated with less alcohol use and alcohol consequences, represented by an odds ratio of 3.70 (CI: 1.72, 8.33) for an AUDIT score above 8 and an odds ratio of 3.84 (CI: 2.13, 6.67) with the DrInC score. Perceived high availability of alcohol for children is significantly related to higher alcohol use quantity, with the odds ratio of 1.6 (CI: 1.17, 2.20). CONCLUSIONS: The first use of alcohol before the age of 18 is associated with higher alcohol use and alcohol-related adverse consequences. In Tanzania, age at first drink is an important target for interventions aiming to prevent negative alcohol-related consequences later in life.

Validity, Reliability, and Diagnostic Cut-off of the Kinyarwandan Version of the Hamilton Depression Rating Scale in Rwanda.

Introduction: In Rwanda, major depressive disorder affects 11.9% of the population and up to 35% of genocide survivors. Mental health services remain underutilized due to stigma and lack of awareness. Increasing the ability and capacity to diagnose and treat mental disorders is considered important to close this gap. We describe the translation, validity, and reliability assessment of the Hamilton Depression Rating Scale (HDRS) as a diagnostic tool for moderate to severe depression in Rwanda. Methods: The HDRS-21 was translated by a multi-group taskforce. We validated the translation against expert assessment in a comparative study on a sample of patients living with depression and of healthy volunteers. Psychometric properties, namely internal structure, reliability, and external validity were assessed using confirmatory factor analysis, three reliability calculations, and correlation analysis, respectively. Maximized Youden's index was used for determining diagnostic cut-off. Results: The translated version demonstrated a kappa of 0.93. We enrolled 105 healthy volunteers and 105 patients with confirmed mild to severe depression. In the confirmatory factor analysis, HDRS had good factor loadings of 0.32-0.80. Reliability coefficients above 0.92 indicated strong internal consistency. External validity was shown by good sensitivity (0.95) and specificity (0.94) to differentiate depression from absence of depression. At a cut-off point of 17 for the diagnosis of depression, sensitivity and specificity were both 0.95 relative to gold standard. Conclusion: The validated HDRS in Kinyarwanda with diagnostic cut-off provides mental healthcare staff with an accurate tool to diagnose moderate to severe depression, enabling closure of the diagnosis and treatment gap.