Childhood and adolescence in mental health policy: an analysis through health counselors and conferences.

This qualitative, descriptive, and exploratory documentary and field research aimed to analyze how children and adolescents are included in the formulation of public mental health policies. The document analysis database consisted of reports from Health Conferences (national, state, and municipal), minutes of meetings of the Health Council (national, state, and municipal), and memories of the Thematic Commission on Mental Health (state and municipal). Nine counselors or former health counselors participated in this study through an individual interview with a semi-structured script.

Overview of the Last 71 Years of Metabolic and Bariatric Surgery: Content Analysis and Meta-analysis to Investigate the Topic and Scientific Evolution.

Obesity is a worldwide epidemic, and bariatric surgery has become increasingly popular due to its effectiveness in treating it. Therefore, understanding this area is of paramount importance. This article aims to provide an understanding of the development of the topic related to procedures, content, data, and status.

Fostering Digital Health in Universities: An Experience of the First Junior Scientific Committee of the Brazilian Congress of Health Informatics.

Objectives: Digital health (DH) is a revolution driven by digital technologies to improve health. Despite the importance of DH, curricular updates in healthcare university programs are scarce, and DH remains undervalued. Therefore, this report describes the first Junior Scientific Committee (JSC) focusing on DH at a nationwide congress, with the aim of affirming its importance for promoting DH in universities.

Is it possible to automate the discovery of process maps for the time-driven activity-based costing method? A systematic review.

Objectives: The main objective of this manuscript was to identify the methods used to create process maps for care pathways that utilized the time-driven activity-based costing method.

Methods: This is a systematic mapping review. Searches were performed in the Embase, PubMed, CINAHL, Scopus, and Web of Science electronic literature databases from 2004 to September 25, 2022.

Validation of targeted selective treatment (TST) methodology for gastrointestinal parasites of adult sheep in different physiological states.

We aimed to validate a targeted selective treatment (TST) methodology for treating parasitic gastrointestinal infections in ewes in different physiological states using parasitological and hematological parameters. Forty ewes were monitored from December 2021 to June 2022 and evaluated during various physiological stages in their life cycle. Before starting the experiment, a fecal egg count (FEC) reduction test was performed to evaluate the efficacy of the anthelmintic (AH) treatment.

Prediction of the occurrence of leprosy reactions based on Bayesian networks.

Introduction: Leprosy reactions (LR) are severe episodes of intense activation of the host inflammatory response of uncertain etiology, today the leading cause of permanent nerve damage in leprosy patients. Several genetic and non-genetic risk factors for LR have been described; however, there are limited attempts to combine this information to estimate the risk of a leprosy patient developing LR. Here we present an artificial intelligence (AI)-based system that can assess LR risk using clinical, demographic, and genetic data.

Gestational and congenital syphilis: gaps to be elucidated.

Congenital and gestational syphilis are increasingly prevalent multisystemic infections in Brazil. This study aimed to present a case series of three children diagnosed with congenital syphilis even though their mother had unreactive treponemal tests. The VDRL (Venereal Disease Research Laboratory) titers of a 22-year-old mother with three pregnancies decreased after treatment.

Deception detection with machine learning: A systematic review and statistical analysis.

Several studies applying Machine Learning to deception detection have been published in the last decade. A rich and complex set of settings, approaches, theories, and results is now available. Therefore, one may find it difficult to identify trends, successful paths, gaps, and opportunities for contribution.

Applying process mining in health technology assessment.

Objective: Propose a process mining-based method for Health Technology Assessment.

Methods: Articles dealing with prior studies in Health Technology Assessment using Process Mining were identified. Five research questions were defined to investigate these studies and present important points and desirable characteristics to be addressed in a proposal.

SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks.

Background: The high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an increase in the demand for annotated corpora, which are a precious resource for both the development and evaluation of natural language processing (NLP) algorithms. The absence of a multipurpose clinical corpus outside the scope of the English language, especially in Brazilian Portuguese, is glaring and severely impacts scientific progress in the biomedical NLP field.

Methods: In this study, a semantically annotated corpus was developed using clinical text from multiple medical specialties, document types, and institutions.

Clinical applicability of the terminological subset of palliative care for dignified dying.

Objective: To evaluate the clinical applicability of the terminological subset of the international classification for the nursing practice of palliative care for a dignified dying, in oncology.

Method: Prospective study evaluating the clinical applicability of 33 nursing diagnoses/outcomes and 220 nursing interventions. It used case studies of 20 cancer patients undergoing palliation.

Representation of Diagnosis and Nursing Interventions in OpenEHR Archetypes.

Objective: The study aimed to represent the content of nursing diagnosis and interventions in the openEHR standard.

Methods: This is a developmental study with the models developed according to ISO 18104: 2014. The Ocean Archetype Editor tool from the openEHR Foundation was used.

Domestic violence: a Rodger's evolutionist conceptual analysis.

Objective: to analyze the concept of domestic violence based on its use in health sciences, humanities, and exact sciences according to Rodgers' evolutionary model.

Methods: this is a concept analysis based on Rodgers' evolutionary conceptual model. Ninety-six articles were included in Portuguese, English, Spanish, and French, which had a definition of domestic violence, having identified the antecedents, attributes and consequences and produced a model case.

Workflow and decision making of operating room nurses: integrative review.

Objective: Identify workflow factors in the operating room and their implications, which influence nurses' decision making.

Method: Integrative review of the literature conducted through searches in the databases: Latin American and Caribbean Literature in Health Sciences; Nursing Database; Pubmed; Scopus and Cumulative Index to Nursing and Allied Health Literature. The results were organized into factors related to positive, negative and positive and negative implications.

Physiotherapy access for children and adolescents with physical disabilities in public institutions.

This study aims to identify the factors that hinder physically disabled children and adolescent's access to physiotherapy in establishments accredited by the Unified Health System in Curitiba, Paraná, Brazil. This is a cross-sectional study that interviewed managers, physiotherapists, parents or guardians of children with physical disabilities. The perception of difficulties of each interviewed group was compared through descriptive statistics, considering the following realms: availability, purchasing power, information and acceptability.

Meta-Analysis of the Sensitivity of Decision Support Systems in Diagnosing Diabetic Retinopathy.

Diabetic Retinopathy (DR) is one of the most common microvascular complications presenting by patients diagnosticated with diabetic diseases. Uncontrolled hyperglycemia may manifest as visual impairment and blindness. The early detection of DR is essential to minimize the risk and consequence of visual diminishing.

Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task.

In this paper, we trained a set of Portuguese clinical word embedding models of different granularities from multi-specialty and multi-institutional clinical narrative datasets. Then, we assessed their impact on a downstream biomedical NLP task of Urinary Tract Infection disease identification. Additionally, we intrinsically evaluated our main model using an adapted version of Bio-SimLex for the Portuguese language.

Design of a geospatial model applied to Health management.

Objective: To identify geographically the beneficiaries categorized as prone to Type 2 Diabetes Mellitus, using the recognition of patterns in a database of a health plan operator, through data mining.

Method: The following steps were developed: the initial step, the information survey. Development, construction of the process of extraction, transformation, and loading of the database.

Improving knowledge about permeability in membrane bioreactors through sensitivity analysis using artificial neural networks.

Membrane bioreactor (MBR) has been widely employed for industrial effluent treatment, as its higher efficiency in removing pollutants makes effluent reuse more feasible. However, membrane fouling remains as a limiting factor for its greater diffusion. This work performed a sensitivity analysis study to investigate the effects of analytical and operating variables on membrane permeability.

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Background: The objective of amputation and disarticulation is to improve health. However, these treatments are associated with significant mortality rates that vary in relation to risk factors.

Objective: To identify associations between determinants of postoperative mortality after amputation surgery.

Accuracy of Decision Support Systems for Breast Cancer - Initial Results.

The aim of this study was to evaluate the accuracy of decision support systems in the diagnosis of breast cancer by means of a systematic review and meta-analysis of studies of diagnostic accuracy. The first step of the research, which consisted of the initial research of abstracts and titles identified from the research strategy in the databases was performed by two researchers independently. In this stage, 622 references were retrieved in the databases and, through a consensus meeting, 183 articles were selected for full reading.

Proposal for Inclusion of New Terms for Submission to the ICNP.

The present study aims to validate 15 terms and definitions for submission to the International Classification for Nursing Practice ICNP. The terms were extracted from 148,299 narratives of the evolution of nursing care, free texts from Electronic Health Records, in a Brazilian university hospital. These terms were mapped with ICNP 2013 for identifying differences, similarities and nonexistent terms.

Use of Balanced Indicators as a Management Tool in Nursing.

Objective: To develop a proposal for a nursing panel of indicators based on the guiding principles of Balanced Scorecard.

Method: A single case study that ranked 200 medical records of patients, management reports and protocols, which are capable of generating indicators.

Results: We identified 163 variables that resulted in 72 indicators; of these, 32 nursing-related: two financial indicators (patient's average revenue per day and patient's revenue per day by product used); two client indicators (overall satisfaction rate of patient with nursing care and adherence rate to the patient satisfaction survey); 23 process indicators, and five learning and growth indicators (average total hours of training, total of approved nursing professionals in the internal selection process, absenteeism rate, turnover rate and index of performance evaluation).

[Expert system to support the decision in topical therapy for venous ulcers].

Although the treatment of venous ulcers requires a set of specific knowledge, non-specialist nurses are unaware of the appropriate therapy, which is a concern in the topical therapy for these skin lesions. This paper aims to present an expert system to support the nursing decision making process in the topical therapy of venous ulcers. It is a development research implemented in five stages: system modeling, knowledge acquisition, knowledge representation from production rules, and system implementation and evaluation.

Method to integrate clinical guidelines into the electronic health record (EHR) by applying the archetypes approach.

Clinical guidelines are documents that assist healthcare professionals, facilitating and standardizing diagnosis, management, and treatment in specific areas. Computerized guidelines as decision support systems (DSS) attempt to increase the performance of tasks and facilitate the use of guidelines. Most DSS are not integrated into the electronic health record (EHR), ordering some degree of rework especially related to data collection.