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☐ ☆ ✇ BMJ Open

Public health assistance for people with haemophilia in Brazil (PATCH study): a cross-sectional study protocol

Por: Roberti · M. d. R. F. · Gea · Y. R. e. A. · Marinho · I. A. · Inacio · P. P. · Camelo · R. M. · de Castro · T. F. · Batista · S. R. R. — Noviembre 21st 2025 at 14:06
Introduction

Haemophilia is a rare inherited bleeding disorder with complex support and costly treatment. Comprehensive care for people with haemophilia (PwH) must take place in structured and continuously evaluated treatment centres. The aim of the Public Assistance for People with Haemophilia in Brazil Project (PATCH Project) is to assess the infrastructure, human resources and healthcare delivery processes of Brazilian Blood Centres (BC) involved in the provision of haemophilia care.

Methods and analysis

This is a nationwide cross-sectional study involving 98 BC across Brazil’s 26 states and the Federal District, focusing on the care provided to PwH. A self-administered structured questionnaire was prepared, based on national and international recommendations for management, treatment and outcomes assessment in PwH. The criteria of the World Federation of Haemophilia and the European Association for Haemophilia and Allied Disorders will be used to define standards of quality.

Ethics and dissemination

Ethical approval for this study was granted by the Human Research Ethics Committee of the Federal University of Goiás, the coordinating centre (protocol CAAE 53863221.8.0000.5078), and subsequently by all participating institutions. Written informed consent is obtained from all participants prior to enrolment. Study findings will be disseminated through publication in peer-reviewed journals and presentation at international scientific conferences. Research data will be managed in accordance with ethical and legal standards and will be made available on reasonable request to support future investigations.

Protocol registration

Not applicable

☐ ☆ ✇ CIN: Computers, Informatics, Nursing

COVID-19 Nursing Staff Sizing Technology

imageThis study shows the development of a software for calculating the number of nursing team members required for providing care during the coronavirus disease 2019 pandemic. Study about the development of a technology based on the literature about data and indicators. The indicators were systematized in the following dimensions: institutional, professional, and occupational structure, all with a focus on coronavirus disease 2019. The software was created to be used on the Web, client-server, in browsers such as Internet Chrome, Explorer, and/or Mozilla Firefox, accessing via an Internet address and also allowing access by Windows, Android, and Linux operating systems, with MySQL database used for data storage. The data and indicators related to the institutional structure for coronavirus disease 2019 were systematized with 10 dimensions and indicators, and the professional and occupational structure, with 14 dimensions and indicators. The construction of computer requirements followed the precepts of software engineering, with theoretical support from the area. In the evaluation of the software, data simulation revealed points that had to be adjusted to ensure security, data confidentiality, and easy handling. The software provides to calculate the size and quality of the team, nursing sizing required due to the needs generated by the coronavirus disease 2019 pandemic.
☐ ☆ ✇ Evidentia

Instrumentos para la identificación temprana del deterioro clínico en pacientes hospitalizados: revisión integrativa

Objetivo: recopilar evidencia científica sobre la implementación y evaluación del uso de instrumentos para la identificación temprana del deterioro clínico en pacientes no infectados por SARS-COV-2 en unidades de hospitalización de adultos. Método: revisión integradora realizada en las bases de datos Latin American and Caribbean Literature on Health Sciences, Medical Literature Analysis and Retrieval System Online, Web Of Science y SCOPUS, utilizando la siguiente estrategia de búsqueda: (“Early Medical Intervention” OR “Early Warning Systems” O “Puntuación de alerta temprana”) Y (“Deterioro clínico”). Resultados: se seleccionaron ocho artículos que abordaron la implementación de herramientas para la identificación temprana de deterioro clínico en unidades de hospitalización y evaluaron sus resultados a través de indicadores de incidencia de paro cardiorrespiratorio, incidencia de ingreso no planificado en UTI, incidencia de cirugía de emergencia, mortalidad e incidencia de enfermedad renal. lesión. Conclusión: la implementación de herramientas que permiten la identificación temprana del deterioro clínico en las unidades de hospitalización tuvo un impacto positivo en los indicadores institucionales.

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