Designing, development and validation of an app to reduce the response time of the emergency medical services.

INTRODUCTION: Delays in prehospital care attributable to the call-taking process can often be traced back to miscommunication, including uncertainty around the call location. Geolocation applications have the potential to streamline the call-taking process by accurately identifying the caller's location. OBJECTIVE: To develop and validate an application to geolocate emergency calls and compare the response time of calls made via the application with those of conventional calls made to the Brazilian Medical Emergency System (Serviço de Atendimento Médico de Urgência-SAMU). METHODS: This study was conducted in two stages. First, a geolocating application for SAMU emergency calls (CHAMU192) was developed using a mixed methods approach based on design thinking and subsequently validated using the System Usability Scale (SUS). In the second stage, sending time of the geolocation information of the app was compared with the time taken to process information through conventional calls. For this, a hypothetical case control study was conducted with SAMU in the Maringá, Paraná, Brazil. A control group of 350 audio recordings of emergency calls from 2019 was compared to a set of test calls made through the CHAMU192 app. The CHAMU192 group consisted of 201 test calls in Maringá. In test calls, the location was obtained by GPS and sent to the SAMU communication system. Comparative analysis between groups was performed using the Mann-Whitney test. RESULTS: CHAMU192 had a SUS score of 90, corresponding to a "best imaginable" usability rating. The control group had a median response time of 35.67 seconds (26.00-48.12). The response time of the CHAMU192 group was 0.20 (0.15-0.24). CONCLUSION: The use of the CHAMU192 app by emergency medical services could significantly reduce response time. The results demonstrate the potential of app improving the quality and patient outcomes related to the prehospital emergency care services.

Applicability of machine learning algorithm to predict the therapeutic intervention success in Brazilian smokers.

Smoking cessation is an important public health policy worldwide. However, as far as we know, there is a lack of screening of variables related to the success of therapeutic intervention (STI) in Brazilian smokers by machine learning (ML) algorithms. To address this gap in the literature, we evaluated the ability of eight ML algorithms to correctly predict the STI in Brazilian smokers who were treated at a smoking cessation program in Brazil between 2006 and 2017. The dataset was composed of 12 variables and the efficacies of the algorithms were measured by accuracy, sensitivity, specificity, positive predictive value (PPV) and area under the receiver operating characteristic curve. We plotted a decision tree flowchart and also measured the odds ratio (OR) between each independent variable and the outcome, and the importance of the variable for the best model based on PPV. The mean global values for the metrics described above were, respectively, 0.675±0.028, 0.803±0.078, 0.485±0.146, 0.705±0.035 and 0.680±0.033. Supporting vector machines performed the best algorithm with a PPV of 0.726±0.031. Smoking cessation drug use was the roof of decision tree with OR of 4.42 and importance of variable of 100.00. Increase in the number of relapses also promoted a positive outcome, while higher consumption of cigarettes resulted in the opposite. In summary, the best model predicted 72.6% of positive outcomes correctly. Smoking cessation drug use and higher number of relapses contributed to quit smoking, while higher consumption of cigarettes showed the opposite effect. There are important strategies to reduce the number of smokers and increase STI by increasing services and drug treatment for smokers.

Resilience, mental health, sleep, and smoking mediate pathways between lifetime stressors and Multiple Sclerosis severity.

Intro: Lifetime stressors (e.g., poverty, violence, discrimination) have been linked to Multiple Sclerosis (MS) features; yet mechanistic pathways and relationships with cumulative disease severity remain nebulous. Further, protective factors like resilience, that may attenuate the effects of stressors on outcomes, are seldom evaluated. Aim: To deconstruct pathways between lifetime stressors and cumulative severity on MS outcomes, accounting for resilience. Methods: Adults with MS (N=924) participated in an online survey through the National MS Society listserv. Structural Equation Modeling was used to examine the direct and indirect effect of lifetime stressors (count/severity) on MS severity (self-reported disability, relapse burden, fatigue, pain intensity and interference), via resilience, mental health (anxiety and depression), sleep disturbance, and smoking. Results: The final analytic model had excellent fit (GFI=0.998). Lifetime stressors had a direct relationship with MS severity (ß=0.27, p<.001). Resilience, mental health, sleep disturbance, and smoking significantly mediated the relationship between lifetime stressors and MS severity. The total effect of mediation was significant (ß=0.45). Conclusions: This work provides foundational evidence to inform conceptualization of pathways by which stress could influence MS disease burden. Resilience may attenuate effects of stressors, while poor mental health, smoking, and sleep disturbances may exacerbate their impact. Parallel with usual care, these mediators could be targets for early multimodal therapies to improve disease course.

Prevalence and factors associated with the death of older people hospitalized due to Covid-19 in the state of Paraná.

OBJECTIVE: To estimate the prevalence and to analyze the factors associated with the death of older people hospitalized due to Covid-19 in the state of Paraná. METHOD: Cross-sectional study conducted with secondary data from older people with a positive diagnosis of Covid-19 living in the State of Paraná, collected from March 1, 2020 to August 31, 2021. Prevalence ratios were obtained by adjusting the regression model. RESULTS: A total of 16,153 deaths of older people hospitalized in the State of Paraná were analyzed. The adjusted model revealed an association between death and some factors such as: belonging to the age group of 75 to 84 years (PR = 1.28; CI95% = 1.24-1.32) and 85 years or over (PR = 1.52; CI95% = 1.45-1.59); male (PR = 1.17; CI95% = 1.13-1.21); obesity (PR = 1.23; CI95% = 1.16-1.29); other morbidities (PR = 1.25; CI95% = 1.20-1.30); and having used ventilatory support (PR = 2.60; CI95% = 2.33-2.86). Older people vaccinated against influenza had a probability of death reduced by 11% (PR = 0.89; CI95% = 0.86-0.93). CONCLUSION: The association of age, sex, and diagnosis of previous comorbidities with unfavorable outcomes from Covid-19 was identified. Having received the flu vaccine provided protection to elderly people who contracted SARS-CoV-2.

Photobiomodulation Therapy to Treat Snakebites Caused by Bothrops atrox: A Randomized Clinical Trial.

Importance: Bothrops venom acts almost immediately at the bite site and causes tissue damage. Objective: To investigate the feasibility and explore the safety and efficacy of low-level laser therapy (LLLT) in reducing the local manifestations of B atrox envenomations. Design, Setting, and Participants: This was a double-blind randomized clinical trial conducted at Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, in Manaus, Brazil. A total of 60 adult participants were included from November 2020 to March 2022, with 30 in each group. Baseline characteristics on admission were similarly distributed between groups. Data analysis was performed from August to December 2022. Intervention: The intervention group received LLLT combined with regular antivenom treatment. The laser used was a gallium arsenide laser with 4 infrared laser emitters and 4 red laser emitters, 4 J/cm2 for 40 seconds at each application point. Main Outcomes and Measures: Feasibility was assessed by eligibility, recruitment, and retention rates; protocol fidelity; and patients' acceptability. The primary efficacy outcome of this study was myolysis estimated by the value of creatine kinase (U/L) on the third day of follow-up. Secondary efficacy outcomes were (1) pain intensity, (2) circumference measurement ratio, (3) extent of edema, (4) difference between the bite site temperature and that of the contralateral limb, (5) need for the use of analgesics, (6) frequency of secondary infections, and (7) necrosis. These outcomes were measured 48 hours after admission. Disability assessment was carried out from 4 to 6 months after patients' discharge. P values for outcomes were adjusted with Bonferroni correction. Results: A total of 60 patients (mean [SD] age, 43.2 [15.3] years; 8 female individuals [13%] and 52 male individuals [87%]) were included. The study was feasible, and patient retention and acceptability were high. Creatine kinase was significantly lower in the LLLT group (mean [SD], 163.7 [160.0] U/L) 48 hours after admission in relation to the comparator (412.4 [441.3] U/L) (P = .03). Mean (SD) pain intensity (2.9 [2.7] vs 5.0 [2.4]; P = .004), circumference measurement ratio (6.6% [6.6%] vs 17.1% [11.6%]; P < .001), and edema extent (25.8 [15.0] vs 40.1 [22.7] cm; P = .002) were significantly lower in the LLLT group in relation to the comparator. No difference was observed between the groups regarding the mean difference between the bite site temperature and the contralateral limb. Secondary infections, necrosis, disability outcomes, and the frequency of need for analgesics were similar in both groups. No adverse event was observed. Conclusions and Relevance: The data from this randomized clinical trial suggest that the use of LLLT was feasible and safe in a hospital setting and effective in reducing muscle damage and the local inflammatory process caused by B atrox envenomations. Trial Registration: Brazilian Registry of Clinical Trials Identifier: RBR-4qw4vf.

Perceived quality of life and associated factors in long COVID syndrome among older Brazilians: A cross-sectional study.

AIMS AND OBJECTIVES: This paper aims to: (a) determine the personal, sociodemographic, clinical, behavioural, and social characteristics of older Brazilians with clinical evidence of long COVID; (b) evaluate perceived quality of life and determine its association with personal, sociodemographic, behavioural, clinical and social variables; and (c) assess significant predictors of high perceived QoL. BACKGROUND: Given the inherent vulnerabilities of the ageing process, the older people are an at-risk group for both contagion of SARS-CoV-2 and the perpetuation of residual symptoms after infection, the so-called long COVID or post-COVID syndrome. DESIGN: A cross-sectional survey design using the STROBE checklist. METHODS: Brazilian older people with long COVID syndrome (n = 403) completed a phone survey measuring personal, sociodemographic, behavioural, clinical, and social characteristics, and perceived Quality of Life (QoL). Data were collected from June 2021-March 2022. A multiple linear regression model was performed to identify salient variables associated with high perceived QoL. RESULTS: The mean age of participants was 67.7 ± 6.6 years old. The results of the multivariate regression model showed that race, home ownership, daily screen time, musculoskeletal and anxiety symptoms, and work situation were the significant predictors of QoL among COVID-19 survivors. CONCLUSIONS: Knowledge about the persistence of physical, emotional, and social symptoms of COVID-19 can help nurses and other healthcare providers to improve the management of survivors, bringing benefits to the whole society. RELEVANCE TO CLINICAL PRACTICE: Given the novelty of long-COVID and its heterogeneous trajectory, interventions focusing on the repercussions and requirements unique to more vulnerable older persons should be developed and these aspects should be included in public health recommendations and policymakers' concerns. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution was required to design, to outcome measures or undertake this research. Patients/members of the public contributed only to the data collection.

Hospitalização de idosos por COVID-19 no Paraná: uma análise de fatores associados / Hospitalización de personas mayores por COVID-19 en Paraná: un análisis de factores asociados / Hospitalization of elderly people due to COVID-19 in the State of Paraná, Brazil: analysis of associated factors

Resumo Objetivo Analisar a prevalência e os fatores associados à hospitalização de idosos com COVID-19 no estado do Paraná, PR, Brasil. Métodos Estudo transversal vinculado à coorte "Acompanhamento Longitudinal de adultos e idosos que receberam alta da internação hospitalar por COVID-19", realizado por meio de informações contidas nas fichas de notificação compulsória do Sistema de Informação de Agravos de Notificação. As análises foram realizadas através de frequências relativas e absolutas, com aplicação do teste de qui-quadrado adotado no modelo de regressão logística. A população do estudo englobou pessoas residentes no Estado do Paraná com idade de 60 anos ou mais, hospitalizadas por COVID-19 no período de março de 2020 a setembro de 2021. Resultados Foi identificada maior prevalência de hospitalização entre idosos com escolaridade igual ou maior a oito anos. Indivíduos não vacinados contra COVID-19 apresentaram maior chance de internação. O sexo masculino apresentou mais chance de admissão em Unidade de Terapia Intensiva em comparação com o sexo feminino. Doenças cardiovasculares, pneumopatia e obesidade aumentaram a prevalência da forma grave da doença. Conclusão Fatores tais como escolaridade e não adesão à vacinação contra COVID-19 podem aumentar o risco de hospitalização pela doença. Pessoas idosas do sexo masculino apresentam maior chance de hospitalização na UTI se comparadas às do sexo feminino; além disso, a não utilização de antivirais pode contribuir para o agravamento do estado de saúde.

Resumen Objetivo Analizar la prevalencia y los factores asociados a la hospitalización de personas mayores por COVID-19 en el estado de Paraná. Métodos Estudio transversal vinculado a la cohorte "Seguimiento longitudinal de adultos y personas mayores que recibieron alta de internación hospitalaria por COVID-19", realizado mediante información contenida en las fichas de notificación obligatoria del Sistema de Información de Agravios de Notificación. Los análisis fueron realizados a través de frecuencias relativas y absolutas, con aplicación de la prueba ji cuadrado adoptada en el modelo de regresión logística. La población del estudio incluyó personas residentes del estado de Paraná, de 60 años o más, hospitalizadas por COVID-19 en el período de marzo de 2020 a septiembre de 2021. Resultados Se identificó mayor prevalencia de hospitalización en personas mayores con escolaridad igual o mayor a ocho años. Individuos no vacunados contra COVID-19 presentaron mayor probabilidad de internación. El sexo masculino presentó más probabilidad de admisión en Unidad de Cuidados Intensivos en comparación con el sexo femenino. Enfermedades cardiovasculares, neumopatía y obesidad aumentaron la prevalencia de la forma grave de la enfermedad. Conclusión Factores tales como escolaridad y no adhesión a la vacunación contra COVID-19 pueden aumentar el riesgo de hospitalización por la enfermedad. Personas mayores de sexo masculino presentaron mayor probabilidad de hospitalización en la UCI al compararlas con las de sexo femenino. Además, la no utilización de antivirales puede contribuir al agravamiento del estado de salud.

Abstract Objective To analyze the prevalence and factors associated with hospitalization of elderly people with COVID-19 in the State of Paraná, PR, Brazil. Methods A cross-sectional study linked to the cohort "Longitudinal Monitoring of adults and elderly people who were discharged from hospital admission due to COVID-19", was carried out using information contained in the compulsory notification forms of the Notifiable Diseases Information System. Analyzes were carried out using relative and absolute frequencies, applying the chi-square test adopted in the logistic regression model. The study population included people aged 60 years or over and residing in the State of Paraná, who were hospitalized for COVID-19 from March 2020 to September 2021. Results A higher hospitalization prevalence was identified among elderly people with eight years of education or more. Individuals not vaccinated against COVID-19 had a greater chance of hospitalization. Males had a greater chance of admission to the Intensive Care Unit compared to females. Cardiovascular diseases, lung disease, and obesity have increased the prevalence of the severe form of the disease. Conclusion Factors such as education and non-adherence to vaccination against COVID-19 can increase the risk of hospitalization due to the disease. Elderly people of the male sex have a greater chance of hospitalization in the ICU compared to the female sex. Furthermore, not using antivirals can contribute to worsening health status.

AI-based approach for transcribing and classifying unstructured emergency call data: A methodological proposal.

Emergency care-sensitive conditions (ECSCs) require rapid identification and treatment and are responsible for over half of all deaths worldwide. Prehospital emergency care (PEC) can provide rapid treatment and access to definitive care for many ECSCs and can reduce mortality in several different settings. The objective of this study is to propose a method for using artificial intelligence (AI) and machine learning (ML) to transcribe audio, extract, and classify unstructured emergency call data in the Serviço de Atendimento Móvel de Urgência (SAMU) system in southern Brazil. The study used all "1-9-2" calls received in 2019 by the SAMU Novo Norte Emergency Regulation Center (ERC) call center in Maringá, in the Brazilian state of Paraná. The calls were processed through a pipeline using machine learning algorithms, including Automatic Speech Recognition (ASR) models for transcription of audio calls in Portuguese, and a Natural Language Understanding (NLU) classification model. The pipeline was trained and validated using a dataset of labeled calls, which were manually classified by medical students using LabelStudio. The results showed that the AI model was able to accurately transcribe the audio with a Word Error Rate of 42.12% using Wav2Vec 2.0 for ASR transcription of audio calls in Portuguese. Additionally, the NLU classification model had an accuracy of 73.9% in classifying the calls into different categories in a validation subset. The study found that using AI to categorize emergency calls in low- and middle-income countries is largely unexplored, and the applicability of conventional open-source ML models trained on English language datasets is unclear for non-English speaking countries. The study concludes that AI can be used to transcribe audio and extract and classify unstructured emergency call data in an emergency system in southern Brazil as an initial step towards developing a decision-making support tool.

Alcohol use among emergency medicine department patients in Tanzania: A comparative analysis of injury versus non-injury patients.

BACKGROUND: Alcohol is a leading behavioral risk factor for death and disability worldwide. Tanzania has few trained personnel and resources for treating unhealthy alcohol use. In Emergency Medicine Departments (EMDs), alcohol is a well-known risk factor for injury patients. At Kilimanjaro Christian Medical Center (KCMC) in Moshi, Tanzania, 30% of EMD injury patients (IP) test positive for alcohol upon arrival to the ED. While the IP population is prime for EMD-based interventions, there is limited data on if non-injury patients (NIP) have similar alcohol use behavior and potentially benefit from screening and intervention as well. METHODS: This was a secondary analysis of a systematic random sampling of adult (≥18 years old), KiSwahili speaking, KCMC EMD patients surveyed between October 2021 and May 2022. When medically stable and clinically sober, participants provided informed consent. Information on demographics (sex, age, years of education, type of employment, income, marital status, tribe, and religion), injury status, self-reported alcohol use, and Alcohol Use Disorder (AUD) Identification Test (AUDIT) scores were collected. Descriptive statistics were analyzed in RStudio using frequencies and proportions. RESULTS: Of the 376 patients enrolled, 59 (15.7%) presented with an injury. The IP and NIP groups did not differ in any demographics except sex, an expected difference as females were intentionally oversampled in the original study design. The mean [SD] AUDIT score (IP: 5.8 [6.6]; NIP: 3.9 [6.1]), drinks per week, and proportion of AUDIT ≥8 was higher for IP (IP:37%; NIP: 21%). However, alcohol preferences, drinking quantity, weekly expenditure on alcohol, perceptions of unhealthy alcohol use, attempts and reasons to quit, and treatment seeking were comparable between IPs and NIPs. CONCLUSION: Our data suggests 37% of injury and 20% of non-injury patients screen positive for harmful or hazardous drinking in our setting. An EMD-based alcohol treatment and referral process could be beneficial to reduce this growing behavioral risk factor in non-injury as well as injury populations.

Clinical evaluation of the alcohol use disorders identification test (AUDIT) in Moshi, Tanzania.

BACKGROUND: Alcohol use disorder is a major cause of morbidity and mortality in low- and middle-income countries. Alcohol screening using a validated tool is a useful way to capture high-risk patients and engage them in early harm reduction interventions. Our objectives were to 1) evaluate the psychometric evidence the Alcohol Use Disorders Identification Test (AUDIT) and its subscales in the general population of Moshi, Tanzania, and 2) evaluate the usefulness of the tool at predicting alcohol-related harms. METHODS: Two hundred and fifty-nine adults living in Moshi, Tanzania were included in the study. We used the AUDIT and its subscales to determine the classification of harmful and hazardous drinking. To analyze the internal structure of AUDIT and the model adequacy we used Confirmatory Factor Analysis (CFA). The reliability of AUDIT was analyzed for Cronbach's alpha, Omega 6 and Composite Reliability. The optimal cut off point for the AUDIT was determined by the receiver operating characteristic (ROC) curve, using the Youden approach to maximize sensitivity and specificity. RESULTS: The median score of the AUDIT was 1 (inter-quartile range: 0-7). The internal structure of the AUDIT showed factor loadings ranging from 0.420 to 0.873. Cronbach's alpha, Omega and Composite Reliability produced values above 0.70. The Average Variance Extracted was 0.530. For the AUDIT, a score of 8 was identified as the ideal cut-off value in our population. CONCLUSIONS: This study validates AUDIT in the general population of Moshi and is one of the only studies in Africa to include measures of the internal structure of the AUDIT and its subscales.

A mixed-methods comparison of gender differences in alcohol consumption and drinking characteristics among patients in Moshi, Tanzania.

Excessive alcohol use stands as a serious threat to individual and community well-being, having been linked to a wide array of physical, social, mental, and economic harms. Alcohol consumption differs by gender, a trend seen both globally and in Moshi, Tanzania, a region with especially high rates of intake and few resources for alcohol-related care. To develop effective gender-appropriate treatment interventions, differences in drinking behaviors between men and women must be better understood. Our study aims to identify and explore gender-based discrepancies in alcohol consumption among Kilimanjaro Christian Medical Center (KCMC) patients. A systematic random sampling of adult patients presenting to KCMC's Emergency Department (ED) or Reproductive Health Center (RHC) was conducted from October 2021 until May 2022. Patients answered demographic and alcohol use-related questions and completed brief surveys, including the Alcohol Use Disorder Identification Test (AUDIT). Through purposeful sampling, 19 individuals also participated in in-depth interviews (IDIs) that focused on identifying gender differences in alcohol use. Quantitative data was analyzed in RStudio through descriptive frequencies, proportions, ANOVA, and Chi-squared tests, while IDIs were analyzed in Nvivo following a grounded theory approach. During the 8-month data collection timeline, 676 patients were enrolled. Men and women patients at KCMC's ED and RHC were found to have significant differences in their alcohol use behaviors. For our quantitative data, this included lower average AUDIT scores among women (average [SD] AUDIT scores were 6.76 [8.16] among ED men, 3.07 [4.76] among ED women, and 1.86 [3.46] among RHC women). A subsequent IDI analysis revealed greater social restrictions around women's drinking and more secretive alcohol use behaviors for where and when women would drink. For men, excess drinking was normalized within Moshi, tied to men's social interactions with other men, and generally motivated by stress, social pressure, and despair over lack of opportunity. Significant gender differences in drinking behaviors were found, primarily influenced by sociocultural norms. These dissimilarities in alcohol use suggest that future alcohol-related programs should incorporate gender in their conceptualization and implementation.

Machine learning models to predict traumatic brain injury outcomes in Tanzania: Using delays to emergency care as predictors.

Constraints to emergency department resources may prevent the timely provision of care following a patient's arrival to the hospital. In-hospital delays may adversely affect health outcomes, particularly among trauma patients who require prompt management. Prognostic models can help optimize resource allocation thereby reducing in-hospital delays and improving trauma outcomes. The objective of this study was to investigate the predictive value of delays to emergency care in machine learning based traumatic brain injury (TBI) prognostic models. Our data source was a TBI registry from Kilimanjaro Christian Medical Centre Emergency Department in Moshi, Tanzania. We created twelve unique variables representing delays to emergency care and included them in eight different machine learning based TBI prognostic models that predict in-hospital outcome. Model performance was compared using the area under the receiver operating characteristic curve (AUC). Inclusion of our twelve time to care variables improved predictability in each of our eight prognostic models. Our Bayesian generalized linear model produced the largest AUC, with a value of 89.5 (95% CI: 88.8, 90.3). Time to care variables were among the most important predictors of in-hospital outcome in our best three performing models. In low-resource settings where delays to care are highly prevalent and contribute to high mortality rates, incorporation of care delays into prediction models that support clinical decision making may benefit both emergency medicine physicians and trauma patients by improving prognostication performance.

The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model.

OBJECTIVE: This study analyzes the effect of the Brazilian National Oral Health Policy (NOHP) on oral cancer mortality rates (OCMR). METHOD: This is an ecological study with secondary oral cancer death data, using interrupted time series analysis (ARIMA, Autoregressive Integrated Moving Average). Annual death data were collected from the Mortality Information System (1996-2019). The outcome was the OCMR, standardized by gender and age We considered the NOHP, categorized as "0" (before its implementation), from 1996 to 2004, and "1 to 15", from 2005 to 2019. ARIMA modeling was carried out for temporal analysis, and regression coefficient estimation (RC). RESULTS: The Brazilian NOHP implementation was associated with an increase in OCMR in the North region (CR = 0.16; p = 0.022) and with a decrease in the Southeast region (CR = -0.04; p<0.001), but did not affect the other macro-regions nor Brazil. The forecast models estimated an increase in OCMR for the North, and Northeast, a decrease for the Southeast, and stability for the South and Brazil. CONCLUSION: The Brazilian NOHP is not being effective in reducing the OCMR. The trends behaved differently in the Brazilian territory, highlighting health inequities. We recommend that the NOHP strengthen the oral health care network, incorporating oral cancer as a notifiable disease, adopting strategies for prevention, screening, and providing opportunities for early treatment of the disease.

Associations of hospitalisation - admission, readmission and length to stay - with multimorbidity patterns by age and sex in adults and older adults: the ELSI-Brazil study.

BACKGROUND: Although the association between multimorbidity (MM) and hospitalisation is known, the different effects of MM patterns by age and sex in this outcome needs to be elucidated. Our study aimed to analyse the association of hospitalisations' variables (occurrence, readmission, length of stay) and patterns of multimorbidity (MM) according to sex and age. METHODS: Data from 8.807 participants aged ≥ 50 years sourced from the baseline of the Brazilian Longitudinal Study of Ageing (ELSI-Brazil) were analysed. Multimorbidity was defined as ≥ 2 (MM2) and ≥ 3 (MM3) chronic conditions. Poisson regression was used to verify the association between the independent variables and hospitalisation according to sex and age group. Multiple linear regression models were constructed for the outcomes of readmission and length of stay. Ising models were used to estimate the networks of diseases and MM patterns. RESULTS: Regarding the risk of hospitalisation among those with MM2, we observed a positive association with male sex, age ≥ 75 years and women aged ≥ 75 years. For MM3, there was a positive association with hospitalisation among males. For the outcomes hospital readmission and length of stay, we observed a positive association with male sex and women aged ≥ 75 years. Network analysis identified two groups that are more strongly associated with occurrence of hospitalisation: the cardiovascular-cancer-glaucoma-cataract group stratified by sex and the neurodegenerative diseases-renal failure-haemorrhagic stroke group stratified by age group. CONCLUSION: We conclude that the association between hospitalisation, readmission, length of stay, and MM changes when sex and age group are considered. Differences were identified in the MM patterns associated with hospitalisation according to sex and age group.

Feasibility of a pragmatic randomized adaptive clinical trial to evaluate a brief negotiational interview for harmful and hazardous alcohol use in Moshi, Tanzania.

INTRODUCTION: Low-resourced settings often lack personnel and infrastructure for alcohol use disorder treatment. We culturally adapted a Brief Negotiational Interview (BNI) for Emergency Department injury patients, the "Punguza Pombe Kwa Afya Yako (PPKAY)" ("Reduce Alcohol For Your Health") in Tanzania. This study aimed to evaluate the feasibility of a pragmatic randomized adaptive controlled trial of the PPKAY intervention. MATERIALS AND METHODS: This feasibility trial piloted a single-blind, parallel, adaptive, and multi-stage, block-randomized controlled trial, which will subsequently be used to determine the most effective intervention, with or without text message booster, to reduce alcohol use among injury patients. We reported our feasibility pilot study using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework, with recruitment and retention rates being our primary and secondary outcomes. We enrolled adult patients seeking care for an acute injury at the Kilimanjaro Christian Medical Center in Tanzania if they (1) exhibited an Alcohol Use Disorder Identification Test (AUDIT) ≥8, (2) disclosed alcohol use prior to injury, or (3) had a breathalyzer ≥0.0 on arrival. Intervention arms were usual care (UC), PPKAY, PPKAY with standard text booster, or a PPKAY with a personalized text booster. RESULTS: Overall, 181 patients were screened and 75 enrolled with 80% 6-week, 82.7% 3-month and 84% 6-month follow-up rates showing appropriate Reach and retention. Adoption measures showed an overwhelmingly positive patient acceptance with 100% of patients perceiving a positive impact on their behavior. The Implementation and trial processes were performed with high rates of PPKAY fidelity (76%) and SMS delivery (74%). Intervention nurses believed Maintenance and sustainability of this 30-minute, low-cost intervention and adaptive clinical trial were feasible. CONCLUSIONS: Our intervention and trial design are feasible and acceptable, have evidence of good fidelity, and did not show problematic deviations in protocol. Results suggest support for undertaking a full trial to evaluate the effectiveness of the PPKAY, a nurse-driven BNI in a low-income country. TRIAL REGISTRATION: Trial registration number NCT02828267. https://classic.clinicaltrials.gov/ct2/show/NCT02828267.

The Impact of Time, Region, and Income Level on Stillbirth and Neonatal Mortality in Brazil, 2000-2019.

OBJECTIVE: To describe trends in perinatal loss across Brazil, a country that transitioned in 2006 from a lower-middle income to an upper-middle income country, from 2000 to 2019 and analyze the effect of municipal wealth status on perinatal outcomes. STUDY DESIGN: We conducted an ecological cohort study, based on publicly available data from the Brazilian Ministry of Health's data repository on live births and deaths. The Atlas of Human Development in Brazil was used to associate each region with a World Bank income classification. RESULTS: The national neonatal mortality rate (NMR) for infants born at ≥22 weeks of gestation decreased from 21.2 in 2000 to 12.4 in 2019. The stillbirth rate (SBR) decreased from 12.0 to 10.2 during this period. For infants born between 22 and 27 weeks of gestation, worsening perinatal outcomes were seen after 2012. In 2019, the median rates of neonatal mortality and stillbirth were both 4 points higher in lower- to middle-income municipalities compared with high-income municipalities (P < .01). CONCLUSION: Brazil has made significant progress in neonatal mortality and stillbirth from 2000 to 2019, yet inequity in perinatal outcomes remains and is correlated with municipal economic status. Nationally, ongoing improvement is needed for infants <28 weeks of gestation, and closer exploration is needed into why there are increasing rates of negative perinatal outcomes among infants born at 22-27 weeks of gestation after 2012.

Prioritization of surgical, obstetric, trauma, and anesthesia care in India over seven decades: A systematic analysis of policy documents.

Improving access to surgical care in India requires policy-level prioritization of surgical, obstetric, trauma, and anesthesia (SOTA) care. We quantified SOTA care prioritization in the last seven decades by analyzing India's national policy and programmatic documents. Forty documents of national importance over seven decades (1946-2017) were screened for a set of 52 surgical and 6 non-surgical keywords. The number of mentions per keyword was used as a proxy for surgical prioritization. For thematic analysis, surgical mentions were further classified into five domains: Infrastructure, Workforce, Service Delivery, Financing, and Information Management. The total number of mentions was 4681 for the surgical keywords and 2322 for non-surgical. The number of mentions per keyword was 90.02 for surgical keywords and 387 for non-surgical. The older committee reports showed relatively higher SOTA care prioritization compared to the years after 2010. Among the domains, Service Delivery (897) had the maximum number of mentions followed by Infrastructure (545), Workforce (516), Financing (98), and Information Management (40). National Health Policy 2017, the most recent high-level policy, grossly neglected SOTA care. SOTA care is inadequately prioritized in Indian national health policies, especially in the documents after 2010. Concerted efforts are necessary to improve the focus on financing and information management. Prioritization can be improved through a stand-alone national plan for SOTA care along with integration into existing policies.

A Mixed-Methods Comparison of Gender Differences in Alcohol Consumption and Drinking Characteristics among Patients in Moshi, Tanzania.

Background: Excessive alcohol use stands as a serious threat to individual and community well-being, having been linked to a wide array of physical, social, mental, and economic harms. Alcohol consumption differs by gender, a trend seen both globally and in Moshi, Tanzania, a region with especially high rates of intake and few resources for alcohol-related care. To develop effective gender-appropriate treatment interventions, differences in drinking behaviors between men and women must be better understood. Our study aims to identify and explore gender-based discrepancies in alcohol consumption among Kilimanjaro Christian Medical Center (KCMC) patients. Methods: A systematic random sampling of adult patients presenting to KCMC's Emergency Department (ED) or Reproductive Health Center (RHC) was conducted from October 2020 until May 2021. Patients answered demographic and alcohol use-related questions and completed brief surveys including the Alcohol Use Disorder Identification Test (AUDIT). Through purposeful sampling, 19 subjects also participated in in-depth interviews (IDIs) focused on identifying gender differences in alcohol use. Results: During the 8-month data collection timeline, 655 patients were enrolled. Men and women patients at KCMC's ED and RHC were found to have significant differences in their alcohol use behaviors including lower rates of consumption among women, (average [SD] AUDIT scores were 6.76 [8.16] among ED men, 3.07 [4.76] among ED women, and 1.86 [3.46] among RHC women), greater social restrictions around women's drinking, and more secretive alcohol use behaviors for where and when women would drink. For men, excess drinking was normalized within Moshi, tied to men's social interactions with other men, and generally motivated by stress, social pressure, and despair over lack of opportunity. Conclusion: Significant gender differences in drinking behaviors were found, primarily influenced by sociocultural norms. These dissimilarities in alcohol use suggest that future alcohol-related programs should incorporate gender in their conceptualization and implementation.

Antivenom access impacts severity of Brazilian snakebite envenoming: A geographic information system analysis.

BACKGROUND: Snakebite envenoming (SBE) is a neglected tropical disease capable of causing both significant disability and death. The burden of SBE is especially high in low- and middle-income countries. The aim of this study was to perform a geospatial analysis evaluating the association of sociodemographics and access to care indicators on moderate and severe cases of SBE in Brazil. METHODS: We conducted an ecological, cross-sectional study of SBE in Brazil from 2014 to 2019 using the open access National System Identification of Notifiable Diseases (SINAN) database. We then collected a set of indicators from the Brazil Census of 2010 and performed a Principal Component Analysis to create variables related to health, economics, occupation, education, infrastructure, and access to care. Next, a descriptive and exploratory spatial analysis was conducted to evaluate the geospatial association of moderate and severe events. These variables related to events were evaluated using Geographically Weighted Poisson Regression. T-values were plotted in choropleth maps and considered statistically significant when values were <-1.96 or >+1.96. RESULTS: We found that the North region had the highest number of SBE cases by population (47.83/100,000), death rates (0.18/100,000), moderate and severe rates (22.96/100,000), and proportion of cases that took more than three hours to reach healthcare assistance (44.11%). The Northeast and Midwest had the next poorest indicators. Life expectancy, young population structure, inequality, electricity, occupation, and more than three hours to reach healthcare were positively associated with greater cases of moderate and severe events, while income, illiteracy, sanitation, and access to care were negatively associated. The remaining indicators showed a positive association in some areas of the country and a negative association in other areas. CONCLUSION: Regional disparities in SBE incidence and rates of poor outcomes exist in Brazil, with the North region disproportionately affected. Multiple indicators were associated with rates of moderate and severe events, such as sociodemographic and health care indicators. Any approach to improving snakebite care must work to ensure the timeliness of antivenom administration.