Risk assessment and incidence of falls in adult hospitalized patients

Objectives: assess the risk of falls in adult hospitalized patients and verify the incidence of the event in this environment. Method: cohort study, with approval by the Research Ethics Committee, which monitored 831 patients hospitalized at a university hospital. The Morse Fall Scale (MFS) was used to assess the risk and patients with high risk (≥45 points) were considered exposed to falls. Results: the mean MFS score was 39.4 (±19.4) points. Between the first and the final assessment, the score increased by 4.6%. The first assessment score presented a strong and positive correlation with the final assessment score (r=0.810; p=0.000). Conclusion: the higher the risk score for falls when the patient is admitted, the higher the score at the end of the hospitalization period and vice-versa. The incidence rate corresponded to 1.68% with a higher percentage of patients classified at high risk of falls.Objetivos: avaliar o risco para quedas de pacientes adultos hospitalizados e verificar a incidência do evento nesse ambiente. Método: estudo de coorte, aprovado por Comitê de Ética em Pesquisa, que acompanhou 831 pacientes internados em um hospital universitário. Utilizou-se a Morse Fall Scale (MFS) para avaliar o risco e considerou-se exposto às quedas o paciente com risco elevado (≥45 pontos). Resultados: a média da pontuação da MFS foi de 39,4 (±19,4) pontos. Entre a primeira e a última avaliação, existiu um aumento de 4,6% na pontuação. O escore da primeira avaliação apresentou uma correlação positiva forte com o da última avaliação (r=0,810; p=0,000). Conclusão: quanto maior a pontuação de risco para quedas na admissão do paciente, maior ao final do período de internação e vice-versa. A taxa de incidência foi de 1,68% com maior percentual de pacientes classificados com risco elevado para quedas.Objetivos: evaluar el riesgo para caídas de pacientes hospitalizados y verificar la incidencia del evento en ese ambiente. Método: estudio de cohorte, aprobado por Comité de Ética en Investigación, que siguió 831 pacientes internados en un hospital universitario. Se utilizó la Morse Fall Scale (MFS) para evaluar el riesgo y se consideró como expuesto a las caídas el paciente con riesgo elevado (≥45 puntos). Resultados: la puntuación media de la MFS fue de 39,4 (±19,4) puntos. Entre la primera y la última evaluación, la puntuación aumentó en 4,6%. La puntuación de la primera evaluación mostró correlación positiva fuerte con la de la última evaluación (r=0,810; p=0,000). Conclusión: cuanto mayor la puntuación de riesgo para caídas en el momento de la admisión del paciente, mayor al final del período de internación y vice-versa. La tasa de incidencia fue 1,68% con mayor porcentaje de pacientes clasificados con riesgo elevado para caídas

A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported ?=0.120). For the second research question, this was the case for 65% of the teams (median reported ?=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates