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La resistencia antimicrobiana es una amenaza para los logros de la medicina moderna y una de las medidas más efectivas para contrarrestarla son los programas de optimización del uso de antimicrobianos (PROA), en el cual el laboratorio de microbiología es uno de los principales componentes. La aplicación efectiva de tecnología de la información en los procesos es fundamental, pero existe poca información en Latinoamérica sobre el desarrollo y la articulación de las herramientas tecnológicas para apoyar los PROA. Este consenso hace recomendaciones sobre la gestión de los datos microbiológicos para la toma de decisiones. En la Parte I, se presentan las recomendaciones en cuanto al uso de un sistema informatizado de gestión de datos microbiológicos en la práctica clínica, los requerimientos de datos y de reporte en el laboratorio de microbiología, y los contenidos del sistema de gestión de calidad avanzado en el laboratorio. En la Parte II, se discuten los requerimientos de información para la gestión de PROA en estadios intermedios, iniciales y avanzados por el laboratorio y la farmacia; así como la integración del equipo de PROA con el Comité de Prevención y Control de Infecciones y la información para la gestión de PROA a nivel gerencial.

Antimicrobial resistance is a threat to the achievements of modern medicine and one of the most effective measures to counteract it is antimicrobial use optimization programs (AMS), in which the microbiology laboratory is one of the main components. The effective application of information technology in the processes is fundamental, but there is little information in Latin America on the development and articulation of technological tools to support AMSs. This consensus makes recommendations on the management of microbiological data for decision making. In Part I, recommendations on the use of a computerized microbiological data management system in clinical practice, data and reporting requirements in the microbiology laboratory, as well as the contents of the advanced quality management system in the laboratory are presented. In Part II, the information requirements for AMS management in intermediate, initial, and advanced stages by the laboratory and pharmacy are discussed; as well as the integration of the AMS team with the Infection Prevention and Control Committee and the information for AMS management at the management level.

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Data management "behind the scenes" refers to collection, cleaning, imputation, and demarcation; and despite of being indispensable processes, they are usually neglected and thus, generate erroneous information. During the collection are errors: omission of covariates, deviation from the objective, and insufficient quality. The omission of covariates distorts the result attributed to the main manoeuvre. Deviation from the primary objective commonly occurs when the outcome is rare, delayed, or subjective and promotes substitution by non-equivalent surrogate variables. Moreover, insufficient quality occurs due to inadequate instruments, omission of the measurement procedure, or measurements out of context, such as attribution at the wrong time or equivalent. Furthermore, cleaning implies identifying erroneous, extreme, and missing values, which may or may not be imputed, depending on the percentage. The values of the manoeuvre or the outcome are never imputed, nor are patients eliminated due to a lack of values. Finally, the demarcation of each variable seeks to give it a clinical meaning about the outcome, for which a hierarchical sequence of criteria is followed: 1) previous clinical study, 2) expert agreement, 3) clinical judgment of the investigator/investigators, and 4) statistics. Acting without quality controls in data management frequently causes involuntary lies and confuses instead of clarifying.

El manejo de datos "tras bambalinas" se refiere a los procesos de recopilación, limpieza, imputación y demarcación; los cuales, aun siendo indispensables, usualmente suelen ser descuidados, por lo que generan información errónea. Durante la recopilación son errores: omisión de covariables, desvío del objetivo, y calidad insuficiente. La omisión de covariables distorsiona el resultado atribuido a la maniobra principal. El desvío del objetivo primario es común cuando el desenlace es raro, tardado o subjetivo y promueve la sustitución por variables subrogadas no equivalentes. Además, la calidad insuficiente, sucede por instrumentos inadecuados, omisión del procedimiento de medición, o medición fuera de contexto -como atribución a destiempo o equivalente-. Por otro lado, la limpieza implica identificar valores erróneos, extremos y faltantes, que podrán ser o no imputados, dependiendo del porcentaje se imputará comúnmente por la medida de resumen. Nunca se imputan los valores de la maniobra ni del desenlace, ni se eliminan pacientes por falta de valores. Finalmente, la demarcación de cada variable busca un significado clínico en referencia al desenlace, para ello se sigue una secuencia jerárquica de criterios: 1) estudio clínico previo, 2) acuerdo de expertos, 3) juicio clínico del investigador/investigadores y 4) estadística. Actuar sin controles de calidad en el manejo de datos provoca frecuentemente mentiras involuntarias y confunde en lugar de esclarecer.

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BACKGROUND: Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages capture patient-centered economic outcomes, including those driven by insurance and influence health equity, and can serve as a prototype for health economics research. OBJECTIVES: To describe and assess the utility of a linkage between the Colorado APCD and Colorado Central Cancer Registry (CCCR) data for 2012-2017. RESEARCH DESIGN, PARTICIPANTS, AND MEASURES: This cohort study of 91,883 insured patients evaluated the Colorado APCD-CCCR linkage on its suitability to assess demographics, area-level data, insurance, and out-of-pocket expenses 3 and 6 months after cancer diagnosis. RESULTS: The linkage had high validity, with over 90% of patients in the CCCR linked to the APCD, but gaps in APCD health plans limited available claims at diagnosis. We highlight the advantages of the CCCR-APCD, such as granular race and ethnicity classification, area-level data, the ability to capture supplemental plans, medical and pharmacy out-of-pocket expenses, and transitions in insurance plans. CONCLUSIONS: Linked data between registries and APCDs can be a cornerstone of a robust data infrastructure and spur innovations in health economics research on cost, quality, and outcomes. A larger infrastructure could comprise a network of state APCDs that maintain linkages for research and surveillance.

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A telemedicina, permitida em caráter emergencial durante a covid-19, foi autorizada e regulamentada pela Lei nº 14.510/2022. Reconhecida como serviço imprescindível para a garantia da equidade em saúde, na telemedicina veiculam-se dados considerados sensíveis pela Lei Geral de Proteção de Dados. Este ensaio apresenta uma discussão a respeito de tais dados, os quais detêm relação intrínseca com direitos da personalidade e que devem ser reconhecidos como sigilosos, a fim de garantir o direito à privacidade dos titulares, bem como o respeito ao sigilo médico. Conclui-se que eventual violação dos dados sensíveis pode ensejar sanções administrativas aos agentes de tratamento, mas há divergência doutrinária a respeito do regime de responsabilidade adotado pela Lei Geral de Proteção de Dados, com três possíveis interpretações: responsabilidade objetiva, responsabilidade subjetiva e responsabilidade ativa

Telemedicine, which had been allowed on an emergency basis during covid-19, was authorized and regulat-ed by Law nº 14.510/2022. Recognized as an essential service in guaranteeing equity in health, in telemedi-cine, data considered sensitive by the General Data Protection Law is transmitted. This essay elaborates on a discussion regarding such data, which are intrinsically related to personal rights and must be recognized as confidential in order to ensure the right to privacy of the data subjects, as well as respect for medical confidentiality. It is concluded that any violation of sensitive data may result in administrative sanctions for treatment agents. Still, doctrinal divergence exists regarding the liability regime adopted by the law, with three possible interpretations: strict liability, fault liability, and active liability

La télémédecine, qui avait été permise en urgence pendant le covid-19, a été autorisée et réglementée par la Loi nº 2022-14510. Reconnue comme un service essentiel pour garantir l'équité en santé, en télémédecine, des données considérées comme sensibles par la Loi Générale sur la Protection des Données sont transmises. Cet essai développe une discussion concernant de telles données, qui sont intrinsèquement liées aux droits personnels et doivent être reconnues comme confidentielles afin de garantir le droit à la vie privée des sujets de données, ainsi que le respect de la confidentialité médicale. On en conclut que la violation éventuelle de données sensibles peut entraîner des sanctions administratives pour les agents de traitement. Néanmoins, des divergences doctrinales existent quant au régime de responsabilité adopté par la loi, avec trois interprétations possibles: la responsabilité stricte, la responsabilité pour faute et la responsabilité active

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Territorial Use rights in Fisheries (TURFs) are used around the world to manage small-scale fisheries and they've shown varying levels of success. Our understanding of what leads to different performance levels is limited due to several reasons. Firstly, these systems are often present in areas with low monitoring capacity where data is scarce. Secondly, past research has centered on the analysis of successful cases, with little attention paid to entire systems. Thirdly, research has been ahistorical, disconnected from the development process of TURF systems. Fourthly, TURFs are often viewed as homogenous ignoring the socio-ecological conditions under which they develop. To address these gaps, the study focuses on Mexico as a case study and context. The research first presents a historical overview of the development of TURF systems in Mexico, including the institutional and legal frameworks that have shaped their evolution. The paper then presents a TURF database that maps all TURF systems in Mexico, including their geographical locations and characteristics. In addition, the study presents case studies based on identified archetypes that showcase the diversity of TURF systems in Mexico, highlighting the different types of systems and the challenges they face. By presenting a comprehensive map of all TURF systems in Mexico, this research paper aims to make an important addition to the case studies in the global literature on TURF systems and provide a valuable resource for marine resource management policymakers, researchers, and practitioners.

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Disasters deeply impact the health of the affected population and the economy of a country. The health burden of disasters in Brazil is underestimated and more studies are needed to underpin policies and actions for disaster risk reduction. This study analyzes and describes disasters that occurred in Brazil from 2013 to 2021. The Integrated Disaster Information System (S2iD) was accessed to obtain demographic data, disaster data according to Brazilian Classification and Codification of Disasters (COBRADE), and health outcome data (number of dead, injured, sick, unsheltered, displaced, and missing individuals and other outcomes). Database preparation and analysis were performed in Tableau. In total, 98.62% (50,481) of the disasters registered in Brazil from 2013 to 2021 are natural, with a significant increase in 2020 and 2021 due to the COVID-19 pandemic, a biological disaster. This disaster group also caused the highest number of deaths (321,111), as well as injured (208,720) and sick (7,041,099) people. By analyzing data for each geographic region, we observed differences regarding disasters frequency and their health outcomes. In Brazil, climatological disasters are the most frequent (23,452 events) and occur mainly in the Northeast region. Geological disasters have the highest lethality, which are more common in the Southeast; however, the most common disasters in the South and Southeast are those of the meteorological and hydrological groups. Therefore, since the greatest health outcomes are associated with disasters predicted in time and space, public policies for the prevention and management of disasters can reduce the impacts of these events.

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Translational Bioinformatics (TBI) is defined as the union of translational medicine and bioinformatics. It emerges as a major advance in science and technology by covering everything, from the most basic database discoveries, to the development of algorithms for molecular and cellular analysis, as well as their clinical applications. This technology makes it possible to access the knowledge of scientific evidence and apply it to clinical practice. This manuscript aims to highlight the role of TBI in the study of complex diseases, as well as its application to the understanding and treatment of cancer. An integrative literature review was carried out, obtaining articles through several websites, among them: PUBMED, Science Direct, NCBI-PMC, Scientific Electronic Library Online (SciELO), and Google Academic, published in English, Spanish, and Portuguese, indexed in the referred databases and answering the following guiding question: "How does TBI provide a scientific understanding of complex diseases?" An additional effort is aimed at the dissemination, inclusion, and perpetuation of TBI knowledge from the academic environment to society, helping the study, understanding, and elucidating of complex disease mechanics and their treatment.

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INTRODUCTION: The production of clinical practice guidelines (CPGs) has grown in the past years. Notwithstanding, the quality of these documents and their recommendations for the treatment of schizophrenia in children and adolescents is still unknown. OBJECTIVE: To assess the quality of the guidelines and recommendations for the treatment of schizophrenia in this population. METHODS: CPGs from 2004 to December 2020 were identified through a systematic search on EMBASE, MEDLINE, PsycINFO, PubMed, Epistemonikos, VHL, Global Index Medicus and specific CPG databases. The CPGs' quality was independently assessed by three reviewers using AGREE II and they were considered of high quality if they scored ≥60% in domains 3 and 6. The evidence classification systems were described, the quality of recommendations was assessed in pairs using AGREE-REX and the recommendations were compared. RESULTS: The database search retrieved 3182 results; 2030 were screened and 29 were selected for full-text reading. Four guidelines were selected for extraction. Two CPGs were considered of high quality in the AGREE II assessment. We described the commonly agreed recommendations for each treatment phase. The pharmacological recommendations were described in all treatment phases. Scores of AGREE-REX were lower for psychosocial recommendations. CONCLUSION: There are still few clinical studies and CPGs regarding schizophrenia in children and adolescents. The quality of the documents was overall low, and the quality of the recommendations report has much to improve. There is also a lack of transparency about the quality of the evidence and the strength of the recommendations. PROTOCOL REGISTRATION NUMBER: CRD42020164899.

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PURPOSE: Arkansas is one of only four known states that have linked All-Payer Claims Database (APCD) to state's cancer registry (Arkansas Cancer Registry [ACR]). We evaluated the reporting consistency of radiation therapy (RT) between the two sources. METHODS: Women age ≥ 18 years diagnosed in 2013-2017 with early-stage hormone receptor-positive breast cancer who received breast-conserving surgery were identified. Patients must have continuous insurance coverage (any private plans, Medicaid, and Medicare) in the 13 months (month of diagnosis and 12 months after). Receipt of RT was identified independently from ACR and APCD. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for receipt of RT coded by the registry compared with APCD billing claims as the gold standard. We assessed the degree of concordance between the data sources by Cohen's kappa statistics. RESULTS: The final sample included 2,695 patients who were in both databases and satisfied our inclusion/exclusion criteria. Using APCD as the gold standard, there were high sensitivity (88.1%) and positive predictive value (87.7%) and moderate specificity (71.1%) and negative predictive value (71.8%). The overall agreement between the two sources was 83.0%, with a kappa statistic of 0.59 (95% CI, 0.56 to 0.63). Consistency measures varied by age, stage, and insurance type with Medicare fee-for-service coverage only having the best and private insurance only the worse consistency. CONCLUSION: In patients with early-stage hormone receptor-positive breast cancer who received breast-conserving surgery, recording of RT receipt was moderately consistent between Arkansas APCD and ACR. Future studies are needed to identify factors affecting reporting consistency to better use this unique resource in addressing population health problems.

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Leprosy, also known as Hansen's, is one of the listed neglected tropical diseases as a major health problem global. Treatment is one of the main alternatives, however, the scarcity of medication and its poor distribution are important factors that have driven the spread of the disease, leading to irreversible and multi-resistant complications. This paper uses a distribution methodology to optimize medication administration, taking into account the most relevant attributes for the epidemiological profile of patients and the deficit in treatment via Polychemotherapy. Multi-criteria Decision Methods were applied based on AHP-Electre model in a database with information from patients in the state of Para between 2015 and 2020. The results pointed out that 84% of individuals did not receive any treatment and, among these, the method obtained a gain in the distribution of 68% in patients with positive diagnosis for leprosy.

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