Risk Perception and Decision Making about Early-Onset Sepsis among Neonatologists: A National Survey.

OBJECTIVE: Many newborns are investigated and empirically treated for suspected early-onset sepsis (EOS). This study aimed to describe neonatologists' self-identified risk thresholds for investigating and treating EOS and assess the consistency of these thresholds with clinical decisions. STUDY DESIGN: Voluntary online survey, available in two randomized versions, sent to neonatologists from 20 centers of the Brazilian Network on Neonatal Research. The surveys included questions about thresholds for investigating and treating EOS and presented four clinical scenarios with varying calculated risks. In survey version A, only the scenarios were presented, and participants were asked if they would order a blood test or start antibiotics. Survey version B presented the same scenarios and the risk of sepsis. Clinical decisions were compared between survey versions using chi-square tests and agreement between thresholds and clinical decisions were investigated using Kappa coefficients. RESULTS: In total, 293 surveys were completed (145 survey version A and 148 survey version B). The median risk thresholds for blood test and antibiotic treatment were 1:100 and 1:25, respectively. In the high-risk scenario, there was no difference in the proportion choosing antibiotic therapy between the groups. In the moderate-risk scenarios, both tests and antibiotics were chosen more frequently when the calculated risks were included (survey version B). In the low-risk scenario, there was no difference between survey versions. There was poor agreement between the self-described thresholds and clinical decisions. CONCLUSION: Neonatologists overestimate the risk of EOS and underestimate their risk thresholds. Knowledge of calculated risk may increase laboratory investigation and antibiotic use in infants at moderate risk for EOS. KEY POINTS: · Neonatologists overestimate the risk of EOS.. · There is wide variation in diagnostic/treatment thresholds for EOS.. · Clinical decision on EOS is not consistent with risk thresholds.. · Knowledge of risk may increase investigation and treatment of EOS..

Evaluation of usability of a neonatal health information system according to the user's perception / Avaliação da usabilidade de um sistema de informação em saúde neonatal segundo a percepção do usuário

ABSTRACT Objective: To measure the level of satisfaction regarding the usability of a neonatal health information system and identify if demographic factors can influence the usability of a health information system. Methods: A cross-sectional, exploratory study was carried out with a convenience sample of 50 users of the Brazilian Neonatal Research Network. The instrument chosen for the usability evaluation was the System Usability Scale between February and March 2017. The statistical analysis of the collected variables was carried out in order to describe the sample, to quantify the level of satisfaction of the users and to identify the variables associated with the level of satisfaction. Results: The female gender represented 75% of the sample. The mean age was 52.8 years; 58% had a doctoral degree, average time of graduation was 17 years, with area of practice in medicine (neonatology), with intermediate knowledge in computer science (74%) and mean system use time of 52 months. Regarding usability, 94% rated the system as "good", "excellent" or "better than imaginable". The usability of the system was not associated with age, gender, education, profession, area of practice, knowledge in computer science and time of system use. Conclusion: The level of satisfaction of the computerized health system user was considered good. No demographic factors were associated with the satisfaction of the users.

RESUMO Objetivo: Mensurar o grau de satisfação de profissionais de saúde quanto à usabilidade de um sistema de informação em saúde neonatal e identificar os fatores que podem influenciar na satisfação do usuário frente à usabilidade. Métodos: Estudo transversal e exploratório realizado com 50 profissionais de saúde integrantes dos centros da Rede Brasileira de Pesquisas Neonatais. Para avaliação da usabilidade foi utilizado o instrumento System Usability Scale entre fevereiro e março de 2017. Realizou-se a análise estatística descritiva e inferencial das variáveis coletadas, com a finalidade de descrever a amostra, quantificar o grau de satisfação dos usuários e identificar as variáveis associadas ao grau de satisfação do usuário em relação à usabilidade. Resultados: Da população avaliada, 75% era do sexo feminino, com idade média 52,8 anos, 58% com pós-graduação (doutorado); tempo médio da última formação de 17 anos; área de atuação em medicina (neonatologia), grau intermediário de conhecimento em informática e tempo de utilização média do sistema de 52 meses. Quanto à usabilidade, 94% avaliaram o sistema como "bom", "excelente" ou "melhor impossível". A usabilidade do sistema não foi associada a idade, sexo, escolaridade, profissão, área de atuação, nível de conhecimento em informática e tempo de uso do sistema. Conclusões: O grau de satisfação do usuário do sistema informatizado de saúde foi considerado bom. Não foram identificados fatores demográficos que influenciassem sua avaliação.

EVALUATION OF USABILITY OF A NEONATAL HEALTH INFORMATION SYSTEM ACCORDING TO THE USER'S PERCEPTION.

OBJECTIVE: To measure the level of satisfaction regarding the usability of a neonatal health information system and identify if demographic factors can influence the usability of a health information system. METHODS: A cross-sectional, exploratory study was carried out with a convenience sample of 50 users of the Brazilian Neonatal Research Network. The instrument chosen for the usability evaluation was the System Usability Scale between February and March 2017. The statistical analysis of the collected variables was carried out in order to describe the sample, to quantify the level of satisfaction of the users and to identify the variables associated with the level of satisfaction. RESULTS: The female gender represented 75% of the sample. The mean age was 52.8 years; 58% had a doctoral degree, average time of graduation was 17 years, with area of practice in medicine (neonatology), with intermediate knowledge in computer science (74%) and mean system use time of 52 months. Regarding usability, 94% rated the system as "good", "excellent" or "better than imaginable". The usability of the system was not associated with age, gender, education, profession, area of practice, knowledge in computer science and time of system use. CONCLUSION: The level of satisfaction of the computerized health system user was considered good. No demographic factors were associated with the satisfaction of the users.