Moral Distress and Burnout in NICU Nurses

The objectives of this study were to factor analyze the Moral Distress Scale–Revised (MDS-R) in NICU nurses and to evaluate the relationships among dimensions of the MDS-R and the demoralization, exhaustion, and loss of motive dimensions of the Burnout Measure (BM). A total of 142 NICU nurses completed modified pen-and-paper versions of the MDS-R and BM. Exploratory and confirmatory factor analyses showed that the MDS-R-14 was a relatively good fit for the data. The compromised care dimension predicted BM demoralization (β = 0.24) and exhaustion (β = 0.22), the futile care dimension predicted BM exhaustion (β = 0.18), and the untruthful care dimension predicted BM demoralization (β = .25). Strategies to mitigate moral distress and resulting burnout in NICU nurses should address futile care, compromised care, and untruthful care.     

学龄期近视进展儿童调节功能的客观检查和分析

目的　对学龄期近视进展儿童进行调节功能的客观检查与分析，观察调节功能与近视进展之间的相关性。方法　选取2017年至2018年在首都医科大学附属北京同仁医院视光学门诊定期就诊的71名学龄期儿童为研究对象，根据受试者近年的屈光度进展速度，按≤0.50 D·a^-1、>0.50~1.00 D·a^-1、>1.00~1.50 D·a^-1、>1.50 D·a^-1分为4组，使用人眼调节分析仪对受试者进行调节功能的客观测量与分析，记录不同调节刺激视标下4组的客观调节反应值和客观调节微波动值，并作对比。结果　在所有调节视标上，各组随着调节刺激幅度增加，客观调节反应值也逐渐增加，4组在不同调节刺激视标下的客观调节反应值及平均的客观调节反应值差异均无统计学意义（均为P＞0.05）。≤0.50 D·a^-1、>0.50~1.00 D·a^-1、>1.00~1.50 D·a^-1、>1.50 D·a^-1近视进展速度组调节微波动值分别为（62.2±5.6）D、（62.5±5.3）D、（66.5±6.0）D和（58.0±6.5）D，4组间差异有统计学意义（F=6.424，P=0.001），在+0.50~-0.50 D、-2.00 D调节刺激视标下，4组的客观调节微波动值比较差异均有统计学意义（均为P＜0.05），在其余调节刺激视标下差异均无统计学意义（均为P＞0.05）。结论　对于学龄期儿童的近视进展速度，客观调节微波动值相对于客观调节反应值可能是一个更为敏感的相关指标。     

国内外护理学本科生毕业考核现状与分析

教育测量与评价对实现教育目标具有重要作用。科学的教育评价既促进学生学习,又为教育决策提供依据,以实现持续质量改进。"健康中国2030"的整体目标、医学科学的发展及人民的健康需求,对新时代护理人才的培养提出了更高、更具体的要求。高等护理院校应以国家和社会对护理人才需求、院校培养目标为导向,以测量理论为基础,制定完善的学业评定标准,科学地开展毕业考核,保证人才"出口"质量。毕业考核作为终结性评价,测试内容在评价质量中起核心作用,应符合国家护理学专业培养标准,并与院校培养目标、课程目标契合。院校应关注护理本科生毕业考核质量,在保障测试信度的同时,做到实施公平、评价适当、标准一致,以确保测试的效度。教育管理部门及各院校应优化评价体系,加强对护理本科生毕业管理,在充分开展系统调查与分析的基础上,基于胜任力导向和结果导向,建立综合性评价体系,在教学过程中进行全方位反馈评价管理。文章结合国内外护理学专业本科生毕业考核的现状,从考核目的、内容、方式、评价主体、质量控制等方面进行综述与分析,为我国加强护理学本科教育,完善护理学专业本科生毕业评价体系建设提供借鉴。     

Anticipatory perioperative management for patent ductus arteriosus surgery: Understanding postligation cardiac syndrome

Ligation of a hemodynamically significant ductus arteriosus results in significant changes in loading conditions which have predictable consequences. Postligation cardiac syndrome, defined as hypotension requiring inotropic support and failure of oxygenation and ventilation, may occur 6‐12 hours following ligation due to left ventricular systolic and diastolic failure, respectively. Afterload is the primary driver of this decompensation. In this review, we describe the pathophysiological changes in loading conditions associated with postligation cardiac syndrome and other contributors to cardiovascular dysfunction following ductal ligation. We present strategies for perioperative optimization and a physiology‐based algorithm for postoperative management guided by targeted neonatal echocardiography. The use of these strategies to reduce the frequency of postligation deterioration may be an avenue to improve outcomes for neonates in this vulnerable patient population.     

Tester and testing procedure influence clinically determined gait speed

BackgroundThere is a clinical need to be able to reliably detect meaningful changes (0.1 to 0.2 m/s) in usual gait speed (UGS) considering reduced gait speed is associated with morbidity and mortality.Research questionWhat is the impact of tester on UGS assessment, and the influence of test repetition (trial 1 vs. 2), timing method (manual stopwatch vs. automated timing), and starting condition (stationary vs. dynamic start) on the ability to detect changes in UGS and fast gait speed (FGS)?MethodsUGS and FGS was assessed in 725 participants on a 8-m course with infrared timing gates positioned at 0, 2, 4 and 6 m. Testing was performed by one of 13 testers trained by a single researcher. Time to walk 4-m from a stationary start (i.e. from 0-m to 4-m) was measured manually using a stopwatch and automatically via the timing gates at 0-m and 4-m. Time taken to walk 4-m with a dynamic start was measured during the same trial by recording the time to walk between the timing gates at 2-m and 6-m (i.e. after 2-m acceleration).ResultsTesters differed for UGS measured using manual vs. automated timing (p = 0.02), with five and two testers recording slower and faster UGS using manual timing, respectively. 95% limits of agreement for trial 1 vs. 2, manual vs. automated timing, and dynamic vs. stationary start ranged from ±0.15 m/s to ±0.20 m/s, coinciding with the range for a clinically meaningful change. Limits of agreement for FGS were larger ranging from ±0.26 m/s to ±0.35 m/s.SignificanceRepeat testing of UGS should performed by the same tester or using an automated timing method to control for tester effects. Test protocol should remain constant both between and within participants as protocol deviations may result in detection of an artificial clinically meaningful change.