基于超效率DEA的天津市基本公共卫生配置资源效率研究

评价天津市各辖区基本公共卫生服务的资源配置效率,寻求有效的资源配置措施和方法,为进一步优化卫生资源配置提供参考依据。方法利用数据包络分析,对天津市16辖区的基本公共卫生服务进行效率评价。结果天津市基本公共卫生服务的资源配置效率整体不高,仅有5辖区达到了规模最优,多数区非DEA有效,且投入过剩与产出不足并存。结论为了达到最优的基本公共卫生服务效率,政府及各级基本公共卫生服务机构必须有效地完善、落实相关政策,优化资源投入结构,统筹地区差异,加强资源供给管理,提高资源利用效率。     

Standards for the Use of Telemedicine for Evaluation and Management of Resident Change of Condition in the Nursing Home

Objectives

This document offers guidance to clinicians and facilities on the use of telemedicine to deliver medically necessary evaluation and management of change of condition for nursing home residents.

Medical masks’ and respirators’ pattern of use,adverse effects and errors among Portuguese health care professionals during the COVID-19 pandemic: A cross-sectional study

BackgroundDuring COVID-19 pandemic, a shortage of surgical masks (Mask) and respirators (Resp) was experienced worldwide. We aimed to assess its pattern of use, adverse effects and user errors by Portuguese health care professionals (HCP).MethodsA cross-sectional study was conducted through snowball convenience sample, collected by email/ social media to health care organizations. Participants answered an online anonymous survey in March 2021.ResultsMean age of 3052 respondents was 42.1 years old, 83.6% were female and 77.8% provided direct health care to COVID-19 patients. Mean time of use per shift was 6-8 hours in 40.8% of the participants. 28.0% reported never changing it during their shift. Resp use (vs Mask) was more associated with discomfort (58.2% vs 26.8%), affecting task performance (41.5 vs 18.9%) and communication (55.0 vs 40.9%), dyspnea (36.0 vs 14.4%), skin rash (37.5 vs 19.4%) and headache (37.5 vs 19.4%). Frequent user errors included touching the front while in use (70.1% Mask vs 66.3% Resp) and omitting hand hygiene before (61.8% Mask vs 55.0% Resp) or after use (61.3% Mask vs 57.0% Resp). Average number of errors was higher for Mask (4.3), than for Resp (3.2) (all: P < .001).ConclusionsMost HCP admitted an extended use of Mask/ Resp. Resp were more prone to adverse effects and Mask more prone to errors. Strategies to reinforce good practices should be considered.     

Exercise and Lifestyle Education program for Brazilians living with prediabetes and diabetes: A pilot randomized trial

AimsTo test the Diabetes College Brazil Study feasibility, the acceptability of study interventions and their preliminary effectiveness, and describe the study protocol modifications due to the COVID-19 pandemic.MethodsSingle-center, double-blinded pilot randomized trial with two parallel groups, Exercise and Lifestyle Education (ExLE; 12-week exercise and educational interventions) and Exercise (Ex; 12-week exercise intervention only) involving patients with prediabetes or diabetes. Feasibility (eligibility, recruitment, retention, completeness of variables measures and participation rates), acceptability (satisfaction), and preliminary effectiveness of interventions (variables: functional capacity, physical activity (PA), exercise self-efficacy, diabetes knowledge, health literacy, adherence to Mediterranean food pattern, glycated hemoglobin (HbA1c), anthropometric measures, cardiac autonomic control, depression, and quality of life (QofL)).ResultsEligibility, recruitment, retention, participation in exercise sessions, and education classes rates were 17%, 93%,82%, 76%, and 71%, respectively. Missing data in the post-intervention assessment (PA, HbA1c, cardiac autonomic control, anthropometric measures, depression, and QofL) were mainly related to research procedure modifications. The interventions were highly acceptable, and most variables improved farther in the ExLE, with moderate effect sizes for PA, diabetes knowledge, health literacy, cardiac autonomic control, and QofL.ConclusionsThe Diabetes College Brazil Study is feasible, and the ExLE may benefit Brazilians living with prediabetes and diabetes.     

A Multi-Scale DNN Algorithm for Nonlinear Elliptic Equations with Multiple Scales

Algorithms based on deep neural networks (DNNs) have attracted increasing attention from the scientific computing community. DNN based algorithms are easy to implement, natural for nonlinear problems, and have shown great potential to overcome the curse of dimensionality. In this work, we utilize the multi-scale DNN-based algorithm (MscaleDNN) proposed by Liu, Cai and Xu (2020) to solve multi-scale elliptic problems with possible nonlinearity, for example, the p-Laplacian problem. We improve the MscaleDNN algorithm by a smooth and localized activation function. Several numerical examples of multi-scale elliptic problems with separable or non-separable scales in low-dimensional and high-dimensional Euclidean spaces are used to demonstrate the effectiveness and accuracy of the MscaleDNN numerical scheme.     

Efectividad de un nuevo modelo de derivación telefónica compartida entre atención primaria y atención hospitalaria

Aim

The purpose of this study is to find out whether telephone referral from Primary Health Care to Internal Medicine Consult manages to reduce waiting days as compared to traditional referral. This study also aims to know how acceptable is the telephone referral to general practitioners and their patients.

面向医患连接的慢性病诊后服务平台设计与应用

目的:构建面向医患连接的慢性病诊后服务平台,实现院内院外慢性病患者诊疗的无缝连接。方法:针对慢性病患者需长期干预指导的需求,重点解决医患连接、健康宣教、体征监测和个性化指导等难题,设计和实现慢性病诊后服务平台。结果:平台投入实际使用,共服务患者1.5万人次以上而且易使用、易维护。结论:面向医患连接的诊后服务方式,实现了慢性病患者的持续干预指导,促进医患关系和谐,提升了慢病治疗的效果以及患者体验。     

Reticencia vacunal: análisis del discurso de madres y padres con rechazo total o parcial a las vacunas

Objective

To analyse and understand vaccination hesitancy discourses, particularly those of people who have decided not to vaccinate their sons and daughters.