Software para apoio à decisão logística no processo de captação e transplante de órgãos / Software de apoyo a la decisión logística en el proceso de obtención y trasplante de órganos / Software to support logistic decision in the process of organ acquisition and transplantation

Objetivo: desenvolver e avaliar um software para apoio à tomada de decisão dos profissionais da central de transplantes nas definições logísticas envolvidas no processo de captação e distribuição de órgãos para transplante. Método: estudo de produção tecnológica aplicada, sustentado pelo método Design Science Research Methodology. Participaram da etapa de avaliação da usabilidade dez enfermeiros da Central de Transplantes de Santa Catarina. A coleta de dados ocorreu de 1 a 20 de julho de 2021 por meio do questionário System Usability Scale. Resultados: o software utilizou linguagem JavaScript com ReactJS e PHP com Laravel, para o banco de dados PostgreSQL. A avaliação obteve escore médio de 98,25, sendo sua usabilidade considerada como melhor alcançável. Conclusão: o software demonstrou ser adequado e funcional, com fácil manuseio, reunindo informações integradas e objetivas. Representa um avanço na área, propondo uma inovação tecnológica para a gestão e apoio às decisões logísticas envolvidas no processo de captação e transplante de órgãos.

Objetivo: desenvolver e avaliar um software para apoio à tomada de decisão dos profissionais da central de transplantes nas definições logísticas envolvidas no processo de captação e distribuição de órgãos para transplante. Método: estudo de produção tecnológica aplicada, sustentado pelo método Design Science Research Methodology. Participaram da etapa de avaliação da usabilidade dez enfermeiros da Central de Transplantes de Santa Catarina. A coleta de dados ocorreu de 1 a 20 de julho de 2021 por meio do questionário System Usability Scale. Resultados: o software utilizou linguagem JavaScript com ReactJS e PHP com Laravel, para o banco de dados PostgreSQL. A avaliação obteve escore médio de 98,25, sendo sua usabilidade considerada como melhor alcançável. Conclusión: o software demonstrou ser adequado e funcional, com fácil manuseio, reunindo informações integradas e objetivas. Representa um avanço na área, propondo uma inovação tecnológica para a gestão e apoio às decisões logísticas envolvidas no processo de captação e transplante de órgãos.

Objective: to develop and evaluate a software to support the decision-making of transplant center professionals in the logistic definitions involved in the process of organ procurement and distribution for transplantation. Method: applied technological production study, supported by the Design Science Research Methodology method. Ten nurses from the Transplant Center of Santa Catarina participated in the usability evaluation stage. Data collection took place from 1 to 20 July 2021 through the System Usability Scale questionnaire. Results: the software used JavaScript language with ReactJS and PHP with Laravel, for the PostgreSQL database. The evaluation obtained a mean score of 98.25, and its usability is considered as best achievable. Conclusion: the software proved to be adequate and functional, with easy handling, gathering integrated and objective information. It represents a breakthrough in the area, proposing a technological innovation for the management and support to the logistic decisions involved in the process of organ procurement and transplantation.

Environmental Scan on Canadian Interactive Knowledge Translation Tools to Prevent Diabetes Complications in Patients With Diabetes.

In this study, we identify existing interactive knowledge translation tools that could help patients and health-care professionals to prevent diabetes complications in the Canadian context. We conducted an environmental scan in collaboration with researchers and 4 patient partners across Canada. We conducted searches among the research team members, their networks and Twitter, and through searches in databases and Google. To be included, interactive knowledge translation tools had to meet the following criteria: used to prevent diabetes complications; used in a real-life setting; used any instructional method or material; had relevance in the Canadian context, written in English or French; developed and/or published by experts in diabetes complications or by a recognized organization; created in 2013 or after; and accessibility online or on paper. Two reviewers independently screened each record for selection and extracted the following data: authorship, objective(s), patients' characteristics, type of diabetes complications targeted, type of knowledge users targeted and tool characteristics. We used simple descriptive statistics to summarize our results. Thirty-one of the 1,700 potentially eligible interactive knowledge translation tools were included in the scan. Tool formats included personal notebook, interactive case study, risk assessment tool, clinical pathway, decision support tool, knowledge quiz and checklist. Diabetes complications targeted by the tools included foot-related neuropathy, cardiovascular diseases, mental disorders and distress and any complications related to diabetes and kidney disease. Our results inform Canadian stakeholders interested in the prevention of diabetes complications to avoid unnecessary duplication, identify gaps in knowledge and support implementation of these tools in clinical and patients' decision-making.

Rechazo a las actuaciones médicas / Refusal to medical interventions

El rechazo a las actuaciones médicas es la no aceptación, voluntaria y libre, de una intervención médica indicada. ¿Qué debe hacer el médico ante el rechazo? Es comprensible que el rechazo a una actuación validada sea difícil de aceptar por el médico responsable cuando plantea el conflicto protección de la vida versus la libertad de elección. Por ello es importante seguir unos pasos que incorporen los aspectos más relevantes del conflicto. Estos pasos pueden ser: 1) dar información completa al paciente, informando sobre las posibles alternativas, 2) determinar si el paciente puede decidir (edad, capacidad legal y grado de competencia), 3) comprobar si la decisión es libre, 4) analizar la decisión con el paciente, 5) persuadirle, 6) si se mantiene en la decisión de rechazo, considerar la objeción de conciencia, 7) tomar la decisión en base a los criterios nombrados, 8) finalmente, si se acepta el rechazo, ofrecer las alternativas disponibles (AU)

Refusal to medical interventions is the not acceptance, voluntary and free, of an indicated medical intervention. What the physician should do in case of refusal? It is understandable that the rejection of a validated medical intervention is difficult to accept by the responsible physician when raises the conflict protection of life versus freedom of choice. Therefore it is important to follow some steps to incorporate the most relevant aspects of the conflict. These steps include: 1) Give complete information to patients, informing on possible alternatives, 2) determine whether the patient can decide (age, competency and level of capacity), 3) to ascertain whether the decision is free, 4) analyze the decision with the patient, 5) to persuade, 6) if the patient kept in the rejection decision, consider conscientious objection, 7) take the decision based on the named criteria, 8) finally, if the rejection is accepted, offer available alternatives (AU)

[From library to clinical decision support systems: access of general practitioner to quality information]. / De la bibliothèque aux systèmes d'aide a la décision: accéder a de l'information de qualité en médecine générale.

Since 2003, the following tools have been implemented in Belgium for improving the access of general practioners to the EBM literature: the Digital Library for Health and the evidence-linker of the CEBAM, the portal EBMPracticeNet.be and the multidimensional electronic clinical decision support EBMeDS. The aim of this article is to show the progress achieved in the information dissemination toward the belgian general practioners, particularly the access from the electronic health record. From the literature published these last years, the opportunities cited by the users are for using EBM and the strong willingness for using these literature access in the future; the limits are the medical data coding, the irrelevance of the search results, the alerts fatigue induced by EBMeDS. The achievements done and planned for the new EBMPracticeNet guidelines portal and the EBMeDS system are explained in the aim of informing belgian healthcare professionals. These projects are claiming for lauching a participatory process in the production and dissemination of EBM information. The discussion is focused on the belgian healthcare system advantages, the solutions for a reasonable implementation of these projects and for increasing the place of an evidence-based information in the healthcare decision process. Finally the input of these projects to the continuing medical education and to the healthcare quality are discussed, in a context of multifactorial interaction healthcare design (complexity design).

The diffusion of decision support systems in healthcare: are we there yet?

Clinical decision support (CDS) systems, with the potential to minimize practice variation and improve patient care, have begun to surface throughout the healthcare industry. This study reviews historic patterns of information technology (IT) in healthcare, analyzes barriers and enabling factors, and draws three lessons. First, the widespread adoption of clinical IT, including CDS systems, depends on having the right organizational and individual financial incentives in place. Second, although CDS systems and clinical IT in general are powerful tools that can be used to support the practice of medicine, they alone cannot redefine the workflow or processes within the profession. Healthcare managers counting on technology to restructure or monitor clinicians' work patterns are likely to encounter substantial resistance to CDS systems, even those that generate valuable information. Third, while the pace of implementing IT systems in healthcare has lagged behind that of other industries, many of the obstacles are gradually diminishing. However, several factors continue to inhibit their widespread diffusion, including the organizational turmoil created by large numbers of mergers and acquisitions, and the lack of uniform data standards.