Flebite associada ao cateter venoso periférico em cardiologia: incidência, fatores de risco e custos associados / Phlebitis associated with peripheral venous catheter in cardiology: incidence, risk factors and associated costs

Objetivo: Determinar a incidência de flebite, fatores de risco associados e custos diretos de tratamento. Métodos: Estudo descritivo, correlacional, com análise de custo direto. Utilizaram-se dados da documentação dos enfermeiros entre janeiro 2019 e agosto 2021. Resultados: Incluíram-se 2.374 pessoas com cateter venoso periférico, com internamento na cardiologia. A incidência de flebite foi de 12,38%, das quais 78,23% eram de grau 1 de severidade. Verificou-se associação estatística entre o desenvolvimento de flebite e a administração de amiodarona endovenosa, dias de hospitalização e serviço de internamento. Estimaram-se 1662€ de custos adicionais ao tratamento da flebite, em material clínico e horas de cuidados de enfermagem. Conclusão: Os cuidados de enfermagem são eficazes na identificação precoce e tratamento da flebite, promovendo redução de custos adicionais e garantindo melhores cuidados e ganhos em saúde.

Objective: This study aimed to identify the incidence rate of phlebitis, associated risk factors and treatment direct costs. Methods: Descriptive, correlational study with direct cost analisys. Data from the nurses' clinical records between January 2019 and August 2021 were used. Results: Included 2,374 files of people with peripheral venous catheter who were admitted to Cardiology. The phlebitis incidence rate was 12.38% and regarding severity 78.23% were grade 1. The phlebitits was significantly related with intravenous amiodarone administration, length of stay and physical department. This represents €1662 of additional treatment costs, in clinical supplies and nursing time. Conclusion: Nursing care is effective in the early identification and treatment of phlebitis, reducing costs and improve clinical and economic outcomes.

Prediction of COVID-19 diagnosis based on openEHR artefacts.

Nowadays, we are facing the worldwide pandemic caused by COVID-19. The complexity and momentum of monitoring patients infected with this virus calls for the usage of agile and scalable data structure methodologies. OpenEHR is a healthcare standard that is attracting a lot of attention in recent years due to its comprehensive and robust architecture. The importance of an open, standardized and adaptable approach to clinical data lies in extracting value to generate useful knowledge that really can help healthcare professionals make an assertive decision. This importance is even more accentuated when facing a pandemic context. Thus, in this study, a system for tracking symptoms and health conditions of suspected or confirmed SARS-CoV-2 patients from a Portuguese hospital was developed using openEHR. All data on the evolutionary status of patients in home care as well as the results of their COVID-19 test were used to train different ML algorithms, with the aim of developing a predictive model capable of identifying COVID-19 infections according to the severity of symptoms identified by patients. The CRISP-DM methodology was used to conduct this research. The results obtained were promising, with the best model achieving an accuracy of 96.25%, a precision of 99.91%, a sensitivity of 92.58%, a specificity of 99.92%, and an AUC of 0.963, using the Decision Tree algorithm and the Split Validation method. Hence, in the future, after further testing, the predictive model could be implemented in clinical decision support systems.

OpenEHR modeling: improving clinical records during the COVID-19 pandemic.

The COVID-19 pandemic had put pressure on various national healthcare systems, due to the lack of health professionals and exhaustion of those avaliable, as well as lack of interoperability and inability to restructure their IT systems. Therefore, the restructuring of institutions at all levels is essential, especially at the level of their information systems. Furthermore, the COVID-19 pandemic had arrived in Portugal at March 2020, with a breakout on the northern region. In order to quickly respond to the pandemic, the CHUP healthcare institution, known as a research center, has embraced the challenge of developing and integrating a new approach based on the openEHR standard to interoperate with the institution's existing information and its systems. An openEHR clinical modelling methodology was outlined and adopted, followed by a survey of daily clinical and technical requirements. With the arrival of the virus in Portugal, the CHUP institution has undergone through constant changes in their working methodologies as well as their openEHR modelling. As a result, an openEHR patient care workflow for COVID-19 was developed.

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. RESULTS: Two archetypes were created; one to represent the nursing diagnosis concept and the other the nursing intervention concept. Existing archetypes available in the Clinical Knowledge Manager were reused in modeling. CONCLUSION: The representation of nursing diagnosis and interventions based on the openEHR standard contributes to representing nursing care phenomena and needs in health information systems.

Management of a Pandemic Based on an openEHR approach.

The COVID-19 pandemic has collapsed several national health systems, due to the lack of healthcare professionals and exhaustion of those employed, as well as the lack of interoperability and capacity to restructure their informatic systems. Therefore, the restructuring of institutions at all levels is essential, mainly at the level of their Information Systems. When the COVID-19 pandemic had spread to Portugal in March 2020, with a breakout on the northern region, the Centro Hospitalar Universitário do Porto (CHUP) healthcare institution had felt the need to develop and integrate a new approach based on the openEHR standard to interoperate with the institution's existing information systems, with the aim of responding quickly to the pandemic's evolution.

O impacto económico da prevenção de úlceras de pressão num hospital universitário / The economic impact of pressure ulcers prevention in a university hospital

Objetivo: As úlceras de pressão constituem uma condição evitável que se traduz numa diminuição da qualidade de vida do doente. Simultaneamente representam um acréscimo nos custos para os serviços de saúde, associados ao aumento do tempo de internamento. A investigação é fundamental para justificar a prevenção enquanto medida de sustentabilidade e melhoria dos cuidados de saúde. O estudo visa estimar o efeito individual das diferentes categorias das úlceras de pressão no incremento do tempo de internamento hospitalar e os ganhos em saúde que derivam da intervenções autónomas e independentes dos enfermeiros do domínio da prevenção das UP. Métodos: A determinação do impacto incremental das diferentes categorias das UP no tempo de internamento é obtida por uso de um modelo econométrico concebido para esse fim. Os ganhos em saúde são determinados com o uso da equação preconizada pela ordem profissional dos enfermeiros (OE). Resultados: O impacto incremental das diferentes categorias de UP no internamento hospitalar é por ordem crescente de severidade clínica da UP de 1,05 dias; 1,64 dias; 3,53 dias e 10,29 dias. Estima-se que tenha sido prevenido o incremento de 2977,61 dias de internamento hospitalar, em resultado da prevenção das úlceras de pressão. Conclusão: É possível incrementar os ganhos em saúde e contribuir na redução do impacto das UP no internamento hospitalar ao clinicamente indispensável através da maximização na efetividade diagnóstica.

Objective: Pressure ulcers are an avoidable condition that results in a decrease in the health related quality of life of the client. At the same time, they represent an increase in costs for health services associated with an increase in length of hospital stay. Research in this area is fundamental to justify prevention as a measure of sustainability and improvement of health care. The study aims to estimate the individual effect of the different categories of pressure ulcers on the increase of hospitalization time and the health gains derived from autonomous and independent interventions of nurses in the field of PU prevention. Methods: The determination of the incremental impact of the different UP categories in the length of stay is obtained by using an econometric model designed for this purpose. Health gains are determined using the equation recommended by the professional order of nurses (OE). Results: The incremental impact of the different categories of PU on hospital admission is in ascending order of clinical severity of PU of 1.05 days; 1.64 days; 3.53 days and 10.29 days. It is estimated that an increase of 2977.61 days of hospitalization was prevented, as a result of the prevention of pressure ulcers. Conclusion: It is possible to increase the health gains and contribute in reducing the impact of PUs in hospital admission to the clinically indispensable by maximizing the diagnostic effectiveness.

Validity of serum pepsinogen I/II ratio for the diagnosis of gastric epithelial dysplasia and intestinal metaplasia during the follow-up of patients at risk for intestinal-type gastric adenocarcinoma.

A cohort of individuals (n = 136) with lesions as severe as atrophic chronic gastritis (ACG) was cross-sectionally evaluated for the validity assessment of pepsinogen I (PGI) and pepsinogen II (PGII) serum levels for the diagnosis of intestinal metaplasia (IM) and gastric dysplasia. PGI/PGII ratio [median (range)] was 4 (0.5-7.5) in patients with ACG (n = 35); 4.6 (1.9-6.8) in type I IM (n = 18); 4.2 (1.4-5.9) in type II or type III IM limited to the antrum and incisura (n = 20); 2.4 (0.4-5.6) in extensive incomplete IM (n = 38); and 1.3 (0.4-6.4) in low-grade dysplasia (n = 23) (P = .002). Using histopathologic data as a reference test, the area under the receiver operating characteristic curves (CI 95%) was 0.73 (0.64-0.82) for extensive IM, 0.72 (0.58-0.85) for the diagnosis of dysplasia, and 0.81 (0.66-0.95) for the diagnosis of high-grade dysplasia. Using a PGI/PGII ratio of < or =3 as the cutoff for dysplasia diagnosis, the sensitivity was 70% (62-78%), the specificity was 65% (57-73%), and the negative predictive value estimates were over 90%. No differences in PG levels according to age or gender were observed. Helicobacter pylori did not significantly influence validity measurement estimates. PGI/PGII serum level ratio can be used even in the management of patients with a high a priori probability for a positive test. It may be useful for the exclusion of more advanced lesions (extensive IM and neoplastic lesions).