Association of regional socioeconomic deprivation and rurality with global developmental delay in early childhood: Data from mandatory school entry examinations in Germany

BackgroundFrom birth to young adulthood, health and development of young people are strongly linked to their living situation, including their family’s socioeconomic position (SEP) and living environment. The impact of regional characteristics on development in early childhood beyond family SEP has been rarely investigated. This study aimed to identify regional predictors of global developmental delay at school entry taking family SEP into consideration.MethodWe used representative, population-based data from mandatory school entry examinations of the German federal state of Brandenburg in 2018/2019 with n=22,801 preschool children. By applying binary multilevel models, we hierarchically analyzed the effect of regional deprivation defined by the German Index of Socioeconomic Deprivation (GISD) and rurality operationalized as inverted population density of the children’s school district on global developmental delay (GDD) while adjusting for family SEP (low, medium and high).ResultsFamily SEP was significantly and strongly linked to GDD. Children with the highest family SEP showed a lower odds for GDD compared to a medium SEP (female: OR=4.26, male: OR=3.46) and low SEP (female: OR=16.58, male: OR=12.79). Furthermore, we discovered a smaller, but additional and independent effect of regional socioeconomic deprivation on GDD, with a higher odds for children from a more deprived school district (female: OR=1.35, male: OR=1.20). However, rurality did not show a significant link to GDD in preschool children beyond family SEP and regional deprivation.ConclusionFamily SEP and regional deprivation are risk factors for child development and of particular interest to promote health of children in early childhood and over the life course.     

Trends of self-reported non-adherence among type 2 diabetes medication users in the United States across three years using the self-reported Medication Adherence Reasons Scale

Background & aimsTo determine the trends of self-reported non-adherence rates among adults taking Type 2 medicines (T2D) medicines between 2017 and 2019 and to identify the patterns for the frequently reported reasons for non-adherence in the United States.Methods & resultsData from the National Health and Wellness Survey, a self-administered, internet-based cross-sectional survey of US adults from 2017 to 2019 was used. Non-adherence was measured using the self-reported Medication Adherence Reasons Scale (MAR-Scale). Frequencies were used to identify the reasons for non-adherence for insulin and non-insulin therapies for T2D.Data were obtained from 2983 respondents in 2017, 5416 in 2018, and 5268 in 2019. Based on the MAR-Scale, the self-reported medication non-adherence rate was 25% in 2017, 21% in 2018, and 27% in 2019. The most common reason for non-adherence across all the three years was simple forgetfulness, yet patients reported the lowest mean number of days missing medication for that reason. Though less frequently reported, non-adherence lasted longer when patient did not know how to take their medicines, cost was a reason, or had concerns about the long term effects of the medicines.ConclusionsWith no significant improvement in adherence with T2D medicines over time, regardless of better awareness and extensive diabetes education, focus should be on individualized non-adherence reasons-based interventions.     

A guide to oral vaccination: Highlighting electrospraying as a promising manufacturing technique toward a successful oral vaccine development

Most vaccines approved by regulatory bodies are administered via intramuscular or subcutaneous injections and have shortcomings, such as the risk of needle-associated blood infections, pain and swelling at the injection site. Orally administered vaccines are of interest, as they elicit both systemic and mucosal immunities, in which mucosal immunity would neutralize the mucosa invading pathogen before the onset of an infection. Hence, oral vaccination can eliminate the injection associated adverse effects and enhance the person's compliance. Conventional approaches to manufacturing oral vaccines, such as coacervation, spray drying, and membrane emulsification, tend to alter the structural proteins in vaccines that result from high temperature, organic and toxic solvents during production. Electrohydrodynamic processes, specifically electrospraying, could solve these challenges, as it also modulates antigen release and has a high loading efficiency. This review will highlight the mucosal immunity and biological basis of the gastrointestinal immune system, different oral vaccine delivery approaches, and the application of electrospraying in vaccines development.     

What do we know about written assessment of health professionals’ communication skills? A scoping review

ObjectiveThe aim of this scoping review was to investigate the published literature on written assessment of communication skills in health professionals’ education.MethodsPubmed, Embase, Cinahl and Psychnfo were screened for the period 1/1995–7/2020. Selection was conducted by four pairs of reviewers. Four reviewers extracted and analyzed the data regarding study, instrument, item, and psychometric characteristics.ResultsFrom 20,456 assessed abstracts, 74 articles were included which described 70 different instruments. Two thirds of the studies used written assessment to measure training effects, the others focused on the development/validation of the instrument. Instruments were usually developed by the authors, often with little mention of the test development criteria. The type of knowledge assessed was rarely specified. Most instruments included clinical vignettes. Instrument properties and psychometric characteristics were seldom reported.ConclusionThere are a number of written assessments available in the literature. However, the reporting of the development and psychometric properties of these instruments is often incomplete. Practice implications written assessment of communication skills is widely used in health professions education. Improvement in the reporting of instrument development, items and psychometrics may help communication skills teachers better identify when, how and for whom written assessment of communication should be used.     

Health professionals’ view on the role of hope and communication challenges with patients in palliative care: A systematic narrative review

ObjectiveTo identify health professionals' (HPs) perspectives on the role of hope and the main challenges faced when communicating with patients in palliative care (PC).MethodsSearch on PubMed, Scopus, SocIndex, Cochrane, and Web of Science using: palliat*, palliative care, palliative medicine, hospice care, terminal care, long term care, supportive care, end of life (EOL) care and hope*, followed by a thematic narrative analysis.ResultsThirty-five studies were included. HPs' views were grouped in: Bringing out hope and Taking down hope. HPs believe that hope is elicited through a personal patient-provider bond and exhibited through medical treatment delivery. HPs face difficulties when delivering prognosis, referring to hospice, and providing palliation.ConclusionHope is conveyed through verbal and non-verbal communication. HPs struggle to account for hope's shifting character, challenging the engagement in EOL discussions.Practical implicationsFindings show a patient-provider clash of perspectives, suggesting a gap in acknowledging the shifting nature of hope. An important question emerges: Are the existing theories of hope that are solely explained from a patient experience relevant for HPs' own interpretation? Investigating the HPs' attitudes gathered in collective experiences in PC, might contribute to answering the question in the context of building more constructive communication approaches.     

Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic

The coronavirus disease 2019 (COVID-19) has currently caused the mortality of millions of people around the world. Aside from the direct mortality from the COVID-19, the indirect effects of the pandemic have also led to an increase in the mortality rate of other non-COVID patients. Evidence indicates that novel COVID-19 pandemic has caused an inflation in acute cardiovascular mortality, which did not relate to COVID-19 infection. It has in fact increased the risk of death in cardiovascular disease (CVD) patients. For this purpose, it is dramatically inevitable to monitor CVD patients’ vital signs and to detect abnormal events before the occurrence of any critical conditions resulted in death. Internet of things (IoT) and health monitoring sensors have improved the medical care systems by enabling latency-sensitive surveillance and computing of large amounts of patients’ data. The major challenge being faced currently in this problem is its limited scalability and late detection of cardiovascular events in IoT-based computing environments. To this end, this paper proposes a novel framework to early detection of cardiovascular events based on a deep learning architecture in IoT environments. Experimental results showed that the proposed method was able to detect cardiovascular events with better performance (95.30% average sensitivity and 95.94% mean prediction values).     

The intracorrelation of family health insurance and job lock

This paper tests for the presence of job lock and “health insurance plan lock” stemming from the health shock of a child family member. Using the onset of an acute, unanticipated health shock, I estimate a 7–14 percent decreased likelihood of all family members leaving their current health insurance network and health plan within one year of the emergency. This corresponds to a reduced one-year job mobility rate of approximately 13 percent for the health plan’s primary policyholder. Furthermore, the non-portability of health insurance products may contribute to the observed job and health plan lock.     

T1~T2期乳腺癌保乳术后化疗后程同步大分割放疗前瞻性Ⅰ期临床研究

目的 前瞻性评估T1~T2期乳腺癌保乳术后化疗后程大分割放疗的不良反应和耐受性，以及在缩短治疗时间、减轻患者经济负担等方面的价值。方法 共入组20例T1~T2期乳腺癌保乳术后患者，所有患者于末次多西他赛化疗前开始大分割放疗。观察急性放射反应、治疗完成率及无病生存率、住院时间及住院费用等。结果 治疗完成率100%。主要不良反应为血液学毒性（白细胞减少）及皮肤反应，患者均可耐受。中位随访时间为30.1个月，随访率100%。美容效果良好率100%。平均总治疗时间为4周，总住院治疗费用节省约1万元。21个月无病生存率为100%。结论 T1~T2期乳腺癌保乳术后可耐受同步大分割放化疗，局部控制好，美容效果佳，且具有较高的卫生经济学价值。     

“人工智能+X”背景下医学信息管理专业研究生培养模式

阐述当前“人工智能+X”背景下市场对医学信息管理专业人才能力的需求，分析医学信息管理专业人才培养现状，提出从重塑学科人才培养目标、优化课程内容与课程设置、建设“双师型”导师队伍、搭建多方协同共建共享在线平台及设立“政用产学研”联合培养基地等方面探索医学信息管理专业研究生培养模式，以期培养适应人工智能时代发展，具备学科优势特色的高层次、高水平、高质量的复合型、应用型、创新型人才。