RESUMEN
INTRODUCTION: Pediatric injection is an essential skill of nursing. The survey of the learner's experience during the learning process helps identify problems and leads to improvement. We here applied a three-phrase design thinking framework. The study aims to investigate (1) the registered nurses' experience in learning injection technique, (2) the nursing students' experience in learning injection, and (3) the cause of problems and to propose (4) a learning material that will be used to solve the encountered problems. MATERIALS AND METHODS: A cross-sectional study was applied. The study employed convenience sampling. Registered nurses from a tertiary hospital in Bangkok, Thailand, and fourth-year nursing students from a nursing school in Bangkok, Thailand, were selected. The data collecting tools contain a personal information form and the experience of injection learning. The inferential and descriptive statistics was used to analyze the data. RESULTS: The results show that the major issues of injection learning include selecting the correct site for injection and determining the needle length and injection angle and contamination. CONCLUSIONS: Therefore, teaching materials for the anatomy of the injection area and the technique to determine the correct size and depth of injection are needed.
RESUMEN
Recently, the description of immune response by discrete models has emerged to play an important role to study the problems in the area of human immunodeficiency virus type 1 (HIV-1) infection, leading to AIDS. As infection of target immune cells by HIV-1 mainly takes place in the lymphoid tissue, cellular automata (CA) models thus represent a significant step in understanding when the infected population is dispersed. Motivated by these, the studies of the dynamics of HIV-1 infection using CA in memory have been presented to recognize how CA have been developed for HIV-1 dynamics, which issues have been studied already and which issues still are objectives in future studies.
Asunto(s)
Infecciones por VIH/tratamiento farmacológico , Infecciones por VIH/etiología , Modelos Biológicos , Síndrome de Inmunodeficiencia Adquirida/etiología , Linfocitos T CD4-Positivos/virología , Infecciones por VIH/patología , VIH-1/patogenicidad , Humanos , Procesos EstocásticosRESUMEN
Acquired Immunodeficiency Syndrome (AIDS) is responsible for millions of deaths worldwide. To date, many drug treatment regimens have been applied to AIDS patients but none has resulted in a successful cure. This is mainly due to the fact that free HIV particles are frequently in mutation, and infected CD4(+) T cells normally reside in the lymphoid tissue where they cannot (so far) be eradicated. We present a stochastic cellular automaton (CA) model to computationally study what could be an alternative treatment, namely Leukapheresis (LCAP), to remove HIV infected leukocytes in the lymphoid tissue. We base our investigations on Monte Carlo computer simulations. Our major objective is to investigate how the number of infected CD4(+) T cells changes in response to LCAP during the short-time (weeks) and long-time (years) scales of HIV/AIDS progression in an infected individual. To achieve our goal, we analyze the time evolution of the CD4(+) T cell population in the lymphoid tissue (i.e., the lymph node) for HIV dynamics in treatment situations with various starting times and frequencies and under a no treatment condition. Our findings suggest that the effectiveness of the treatment depends mainly on the treatment starting time and the frequency of the LCAP. Other factors (e.g., the removal proportion, the treatment duration, and the state of removed cells) that likely influence disease progression are subjects for further investigation.