Using the Delphi method to propose foods for special medical purposes health effect evaluation indicators

Objective:The Delphi method was used to propose health effect evaluation indicators to assess foods for special medical purposes(FSMPs).This lays the foundation for the formation of a big data model for human health testing,as well as a big data platform for the health and safety evaluation of special medical foods.Methods:The Delphi method was used to conduct two rounds of expert consultation on the constructed FSMP health effect evaluation indicators.Results:Ten major items were identified after two rounds of expert consultation.Among these,there were 10 primary entries,32 secondary entries,50 tertiary entries,and 28 quaternary entries.Conclusion:The complete list of evaluation indicators contains 10 entries,which can comprehensively and systematically monitor adverse reactions to the use of FSMPs.The present findings lay the foundation for a big data platform to evaluate the health and safety of special foods.

Eco-toxicity and health risk assessment of polycyclic aromatic hydrocarbons in surface sediments of Burullus Lake in Egypt

Polycyclic aromatic hydrocarbons(PAHs)are ubiquitous environmental contaminants of growing concern due to their potential ecological and human health risks.This study presents a comprehensive assessment of PAHs contamination in the surface sediments of Burullus Lake,a vital and second largest delta lake in Egypt.The aim was to evaluate the eco-toxicity and potential health risks associated with the presence of these compounds.Surface seven sediment samples were collected from various drains in the southern part of Burullus Lake.Soxhlet extraction method was employed to extract PAHs(16PAHs)from the sediment sample.Analytically,target compounds were located using HPLC.The results showed that samples contained PAHs levels ranging from 0.038×10^(-6)to 0.459×10^(-6),which is considered heavily polluted by the European standard for PAHs pollution.Additionally,there was no apparent source of PAHs in the ElKhashah drain or the Brinbal Canal,as HPLC found none of the compounds.The most prevalent compound in sediment samples along the study area was fluoranthene.The diagnostic indices in the present study indicated that the hydrocarbons in the region originated from pyrolytic and man-made sources along the drains of Burullus Lake.The principal component analysis(PCA)and diagnostic ratios revealed that coal combustion and pyrolytic sources were responsible for the PAHs contamination in the surface sediments.The non-carcinogenic risk(HI),which is the product of the HQs for the adult and child populations,respectively,was calculated.HI values under 1,therefore,demonstrated that they had no carcinogenic effects on human health.TEQs and MEQs in the sediments of Burullus Lake do not have a cancer-causing impact on people.For the safety of nearby wildlife,aquatic life,and people,all activities that raise petroleum hydrocarbon levels in Burullus Lake must be adequately regulated and controlled.According to the ecological risk assessment,there is little chance that PAHs will be found in the sediments of Burullus Lake.This study underscores the urgent need for effective pollution control measures and regular monitoring of PAHs levels in Burullus Lake sediments to protect the aquatic ecosystem and public health.It also highlights the importance of considering eco-toxicity and human health risks in integrated risk assessments of PAHs-contaminated environments.

The Impact of Health Information Technology on Hospital Performance: A Systematic Integrative Literature Review

Objective: To review, categorise, and synthesise findings from literature on health information technology (HIT) functionalities, HIT use, and the impact of HIT on hospital performance. Materials and Methods: We conducted a systematic integrative literature review based on a compre-hensive database search. To organise, categorise and synthesise the ex-isting literature, we adopted the affordance actualization theory. To align the literature with our research framework, we used four categories: 1) the functionalities of HIT and how these functionalities are measured;2) use and immediate outcomes of HIT functionalities;3) different perfor-mance indicators and how HIT functionalities affect them;and 4) what hospital characteristics influence the outcome of hospital performance. Results: Fifty-two studies were included. We identified four types of HIT. Only ten studies (19.2%) define the use of HIT by explicitly meas-uring the use rate of HIT. We identified five dimensions of hospital per-formance indicators. Every dimension showed mixed results;however, in general, HIT has a positive impact on mortality and patient readmis-sions. We found several hospital characteristics that may affect the rela-tionship between HIT and hospital-level outcomes. Discussion: Further efforts should focus on embedded research on HIT functionalities, use and effects of HIT implementations with more performance indicators and adjusted for hospital characteristics. Conclusion: The proposed framework could help hospitals and researchers make decisions regard-ing the functionalities, use and effects of HIT implementation in hospi-tals. Given our research outcomes, we suggest future research opportuni-ties to improve understanding of how HIT affects hospital performance. .

Evaluation of the Maternal Health Indicators: An Ecological Study from 2000 to 2014

The aiming of this worksheet is to evaluate and to compare the quantity of prenatal appointment indicators;childbirth by kind of delivery;maternal mortality coefficient and maternal deaths number. It is about an ecological, descriptive and analytical study, made through the appreciation of secondary data related to the maternal mortality in Rio Grande do Norte, from 2000 to 2014. To that, it was used information from SISPACTO to compare real data to the estimated goals. The results show that there was an increase on the number of women who performed seven or more prenatal queries, in turn, there was an increase of alive newborns through cesarean, moreover, it is observed an oscillation on the maternal deaths number by residence during the studied period, achieving superior values to the agreed goals during the last two analyzed years. It is concluded that the maternal health, in Rio Grande do Norte, negative indicators are being presented concerning the maternal mortality, in spite of presenting an improvement on the prenatal access.

Research on Remaining Useful Life Prediction Method of Rolling Bearing Based on Health Indicator Extraction and Trajectory Enhanced Particle Filter

Aiming at the difficulty of mining fault prognosis starting points and constructing prognostic models for remaining useful life(RUL)prediction of rolling bearings,a RUL prediction method is proposed based on health indicator(HI)extraction and trajectory-enhanced particle filter(TE-PF).By extracting a HI that can accurately track the trending of bearing degradation and combining it with the early fault enhancement technology,early abnormal sample nodes can be mined to provide more samples with fault information for the construction and training of subsequent prediction models.Aiming at the problem that traditional degradation rate models based on PF are vulnerable to HI mutations,a TE-PF prediction method is proposed based on comprehensive utilization of historical degradation information to timely modify prediction model parameters.Results from a rolling bearing prognostic study show that prediction starting points can be accurately detected and a reasonable prediction model can be conveniently constructed by the RUL prediction method based on HI amplitude abnormal detection and TE-PF.Furthermore,aiming at the RUL prediction problem under the condition of HI mutation,RUL prediction with probability and statistics characteristics under a confidence interval can be obtained based on the method proposed.

Assessing Drug Use Indicators in Health Insurance Facilities, Gezira State, Sudan, 2017-2018

Background: Inappropriate use of medicines is a global concern with serious consequences related to prescribing, dispensing, and use. WHO estimated that 50% of medicines are not used correctly on their journey from the facility to home. Objective: To assess medicines use using WHO drug core indicators regarding prescribing, patient, and facilities. Setting: Outpatients, Health centers in Wadmadani locality (Urban area) in Gezira State, Sudan. Method: A cross-sectional, prospective, analytical study was conducted in 30 health centers and 60 patients from each center were selected using a simple random sampling technique. WHO indicators form was used to collect data containing different variables. T-test at a level of confidence of 95% was used to test differences between indicators. Statistical Package for Social Science (SPSS) was used for data analysis. Results: The main prescribing indicators were 2.5 ± 0.6 for drugs per encounter, 44.1% ± 14.2%. Generic 54 ± 18.0 antibiotics, 12.0% ± 9.3% injectable, and 95.2% ± 11.5% of drugs were prescribed according to the NHIF-EML. The main patient’s indicators were, 2.9 ± 0.8 minutes for consultation time, 99.5 ± 36.8 seconds for dispensing time, and 72.5% ± 16.0% for medicines actually dispensed, 49.0% ± 18.0% for medicines adequately labeled, and 22.5% ± 7.3% of the patient’s knowledge about the correct dose. The Facility specific indicators were 66.7% for the availability of a copy of EML, while the percentage of key drugs in the stock was 75.3% ± 11.6%. No statistically significant differences were found between direct and indirect facilities except in generic prescribing. Main Outcome Measure: • Interventions to improve Generic and antibiotics prescribing indicators. • The patient-to-physician ratio should be revised to optimize consultation time. • The availability of key drugs should be improved to make sure effective treatment. • The pharmacy cadre should be oriented and trained to improve patients’ compliance. Conclusion: The study concluded that there was irrational use of medicines when investigated by WHO drug core indicators. So, the study recommended interventions to improve the rationale prescribing, dispensing, and use of medicines.

The Interrelation of Urban Health Indicators and COVID-19:A Study of Passo Fundo/RS

The COVID-19(Coronavirus Disease 19)pandemic has demonstrated that cities are at the center of major contemporary events.The epidemiological crisis has highlighted the importance of the urban environment,challenging public managers on managing cities.An initiative that aims to assist in this management process is the concept of Smart Cities,which uses ICT(Information and Communication Technology)as tools for transforming urban dynamics,and through urban indicators,measures information about cities.Thus,the research aimed to analyze the health indicators of Passo Fundo/RS,seeking to analyze the interrelationship of these indicators with the epidemiological data from COVID-19.In the methodology,multi-method procedures were applied,using the indicators of the Connected Smart Cities Ranking as reference,as well as a regional selection of medium-sized cities in the southern region of Brazil.The results show that the health indices of Passo Fundo are,for the most part,lower than those of the analyzed cities,with the indicator related to Population Coverage of the Family Health team as the main weakness.However,it also presents satisfactory indices as is the case of the indicator of Beds/1,000 inhabitants.Regarding the epidemiological picture of COVID-19,Passo Fundo had a high lethality rate when compared to the other analyzed cities.

Unsupervised construction of health indicator for rotating machinery via multi-criterion feature selection and attentive variational autoencoder

Health indicator(HI)construction is a crucial task in degradation evaluation and facilitates the prognostic and health management(PHM)of rotating machinery.Excluding interference from artificial labeling,the HI construction approaches in an unsupervised manner have attracted substantial attention.Nevertheless,current unsupervised methods generally struggle with two problems:(1)ignorance of both redundancy between features and global variability of features during the feature selection process;(2)inadequate utilization of information from different sampling moments.To tackle these problems,this work develops a novel unsupervised approach for HI construction that integrates multi-criterion feature selection and the Attentive Variational Autoencoder(Attentive VAE).Explicitly,a multi-criterion feature selection(Mc FS)algorithm together with an elaborately designed metric is proposed to determine a superior feature subset,considering the relevance,the redundancy,and the global variability of features simultaneously.Then,for the adequate utilization of the information from distinct sampling moments,a deep learning model named Attentive VAE is established.The Attentive VAE is solely fed with the selected features in the health state for model training and the HI is derived through the reconstruction error to reveal the degradation degree of machinery.Two case studies based on genuine experimental datasets are involved to quantitatively evaluate the superiority of the developed approach,demonstrating its superiority over other unsupervised methods for characterizing degradation processes.The effectiveness of both the Mc FS algorithm and the Attentive VAE is verified by ablation experiments,respectively.

Fatty Acids Profile, Atherogenic (IA) and Thrombogenic (IT) Health Lipid Indices, of Raw Roe of Blue Fin Tuna (<i>Thunnus</i><i>thynnus</i>L.) and Their Salted Product “Bottarga”

The fatty acids composition and the related health lipid indices (IA, atherogenic and IT thrombogenic) of Blue Fin Tuna’s (Thunnus thynnus L.) raw roe and their cured product bottarga, both considered a delicacy, were studied. The fatty acid (FA) composition of tuna’s roe and bottarga showed a relevant proportion (40.87% and 36.62% respectively) of poly-unsaturated fatty acids (PUFAs) with a prevalence of the n – 3 series, that showed values almost ten folds higher than those of n – 6 fatty acids, in both classes of analyzed samples. The IA and IT indices resulted comparable in tuna’s roe and in the bottarga samples respectively. To the best of our knowledge, this is the first detailed report on the fatty acids composition and the related lipid health indices in tuna’s raw roe and in their cured product “bottarga”.

Application of nursing sensitive indicators in improving the quality of hemodialysis

To explore the application value of hemodialysis-related nursing sensitive indicators in improving the quality of hemodialysis.Methods Totally 40 outpatients undergoing dialysis treatment from January 2016 to December 2016 served as observation group.Another 40 outpatients who received dialysis from January 2015 to December 2015were selected as control group.Patients in control group received routine nursing and health education on hemodialysis,and those in observation group were given interventions based on nursing sensitive indicators.The hemodialysisrelated nursing sensitive indicators and satisfactory degree of patients on nursing service were compared between two groups.Results Observation group had a better outcome of hemodialysis nursing sensitive indicators compared with control group(observation group:Kt/V[1.30±0.06],Hb[115.0±4.8]g/L,serum Ca[2.31±0.06]mmoL/L,serum P[1.75±0.18]mmoL/L,product of Ca and P[30.95±0.58]mg2/dl,PTH[305±65]pg/mL.control group:Kt/V[1.18±0.07],Hb[99.0±5.2]g/L,serum Ca[2.52±0.07]mmoL/L,serum P[2.07±0.21]mmoL/L,product of Ca and P[39.75±0.74]mg2/dl,PTH[420±84]pg/mL.P<0.05 respectively.)The satisfactory degree of patients on nursing service was97.5%(39/40)in observation group and 80.0%(32/40)in the control group,with a significant difference(P<0.05).Conclusion Hemodialysis-related nursing sensitive indicators provide a scientific basis for nursing quality improvement in patients with hemodialysis,and also play a certain role in promoting high quality nursing service.

Assessment of forest dieback on the Moroccan Central Plateau using spectral vegetation indices

Cork oak forests in Morocco are rich in resources and services thanks to their great biological diversity,playing an important ecological and socioeconomic role.Considerable degradation of the forests has been accentuated in recent years by signifi cant human pressure and eff ects of climate change;hence,the health of the stands needs to be monitored.In this study,the Google Engine Earth platform was leveraged to extract the normalized diff erence vegetation index(NDVI)and soil-adjusted vegetation index,from Landsat 8 OLI/TIRS satellite images between 2015 and 2017 to assess the health of the Sibara Forest in Morocco.Our results highlight the importance of interannual variations in NDVI in forest monitoring;the variations had a signifi cantly high relationship(p<0.001)with dieback severity.NDVI was positively and negatively correlated with mean annual precipitation and mean annual temperature with respective coeffi cients of 0.49 and−0.67,highlighting its ability to predict phenotypic changes in forest species.Monthly interannual variation in NDVI between 2016 and 2017 seemed to confi rm fi eld observations of cork oak dieback in 2018,with the largest decreases in NDVI(up to−38%)in December in the most-aff ected plots.Analysis of the infl uence of ecological factors on dieback highlighted the role of substrate as a driver of dieback,with the most severely aff ected plots characterized by granite-granodiorite substrates.

Contamination and human health risk assessment of heavy metal(loid)s in topsoil and groundwater around mining and dressing factories in Chifeng,North China

Chifeng is a concentrated mining area for non-ferrous metal minerals,as well as a key prevention and control area for heavyduty enterprises.This situation necessitates an efective ecological and human health risk assessment of heavy metal(loid)s driven by the wide distribution of metal ore processing,mining,and smelting factories in Hexigten Banner and Bairin Left Banner.We conducted surveys to assess the levels of heavy metal(loid)s(Cr,As,Pb,Cd,and Hg)in the topsoil and groundwater of the areas.The results indicated that the concentrations of As,Cd,and Pb in partial soil samples exceeded the environmental quality standards of Grade II.Based on contamination assessments,such as geoaccumulation indices and pollution indices,we inferred that Cd,Pb,and As were primary pollutants in topsoil.Potential ecological risks when considered as part of the average risk indices(RI)are up to 1626.40 and 2818.76,respectively,in the two areas.Comparative analysis revealed that Cd posed a very high potential ecological risk,followed by As.Moreover,the evaluation showed that the three exposure pathways of carcinogenic and non-carcinogenic risk followed a descending order:inhalation>ingestion>dermal contact,except for Pb.Arsenic in topsoil posed a potential non-carcinogenic risk to human health,while there were no adverse efects of As in groundwater.In addition,the average total carcinogenic risk for As in the two areas,as well as the risk of Pb in the topsoil of Bairin Left Banner and all the fve heavy metal(loid)s in groundwater,exceeded human tolerance.Pb–Zn mines caused higher human health risks.In addition,the tandem contamination of heavy metal(loid)s in soil and groundwater was not obvious.This research study provides a basis for pollution remediation to control heavy industry-induced ecological and health risks of heavy metal(loid)s.

青少年刷牙频率与血液指标的相关性:横断面观察性研究

目的分析青少年刷牙频率对血液指标的相关性,初步探讨刷牙频率对青少年全身健康的影响。方法采用便利抽样法,纳入济宁市第七中学2021级学生和济宁市体育训练中心体育训练学生为研究对象。采用单因素和多因素线性回归分析青少年刷牙频率对嗜酸性粒细胞百分比(eosinophil percentage,EOS%)、嗜酸性粒细胞计数(eosinophil count,EOS#)、嗜碱性粒细胞百分比(basophil percentage,BAS%)、嗜碱性粒细胞计数(basophil count,BAS#)、过氧化物歧化酶(superoxide dismutase,SOD)、胰岛素样生长因子1(insulin-like growth factor 1,IGF-1)、尿酸(uric acid,UA)等血液指标的影响。结果共纳入305名青少年(济宁市第七中学167名、济宁市体育训练中心138名),其中男性192名(62.95%),女性113名(37.05%)。根据每日刷牙频率分为3组,分别为≤1次组(40.33%,123/305)、2次组(53.77%,164/305)和≥3次组(5.90%,18/305)。单因素线性回归分析显示,每日刷牙2次与EOS%、EOS#、BAS%和BAS#均呈显著负相关(β均<0,P均<0.05),与SOD和IGF-1均呈显著正相关(β均>0,P=0.028,P=0.007);每日刷牙≥3次与UA呈显著负相关[β(95%CI):-0.16(-0.27~0.04),P=0.008]。多因素线性回归分析显示,每日刷牙2次与BAS%呈显著负相关(β<0,P=0.042)、与SOD和IGF-1均呈显著正相关(β均>0,P=0.036,P=0.012);每日刷牙≥3次与UA呈显著负相关(β<0,P=0.026)。亚组分析结果表明,男性青少年每日刷牙2次与IGF-1呈显著正相关(β>0,P=0.044),女性青少年每日刷牙≥3次与UA呈显著负相关(β<0,P=0.014)。结论青少年刷牙频率与多项影响全身健康的血液指标具有相关性,提示口腔健康与全身健康可能存在潜在关联。

中国汉族18岁青少年体质健康指标与社会经济指标双变量空间自相关分析

为探究我国社会经济发展水平与青少年体质健康的关系,通过《中国统计年鉴》提取了2019年各省级行政单位的国民经济指标(GDP、人均GDP、居民可支配收入)与青少年各项体质健康指标(身体形态、身体机能、身体素质)进行双变量空间自相关分析,探究社会经济发展水平与青少年体质健康的空间关联。结果表明:我国青少年身体形态和身体机能指标的空间聚集性与各省(市)人均GDP的空间聚集性呈显著相关,身体素质指标的空间聚集性与人均GDP的空间关联程度不高。

新疆某健康体检机构重要异常结果分析与随访结果研究

目的研究新疆某健康体检机构重要异常结果人群分布特征及随访结果。方法选取2022年在新疆医科大学健康管理中心参加健康体检的受检者65045例,检出4665例有重要异常结果的受检者,制定重要异常结果A类B类随访规则,进行电话通知及1月、6月随访,使用随访信息系统进行提醒及表单记录。结果4665例重要异常结果受检者中A类重要异常结果447例(9.58%),B类4218例(90.42%);男性2815例(60.34%)、女性1850例(39.66%),男性高于女性(P<0.05);年龄与重要异常结果存在相关性(P<0.05);41~50岁(1114例)、51~60岁(1211例)这两个年龄段重要段异常结果人数占比高。有效通知4457例(95.54%),通知后有效随访4397例(98.65%),失访60例(1.35%);电话随访后就诊2118例(48.17%),未就诊2279例(51.83%);未就诊男性1562(58.57%)高于女性717(41.45%),性别与是否就诊有统计学意义(P<0.05)。就诊后非肿瘤性疾病1194例(56.40%),恶性肿瘤性疾病97例(4.5%),未明确827例(39.1%)。结论重要异常结果男性高于女性,随年龄增长重要异常结果发生率增高。随访路径实施中通知及随访成功率还应提高。受检者对重要异常结果指标理解不够及重视程度不高(60.44%),未按随访建议进行及时就诊,需加强健康宣教提高其健康意识,督促其重视及时治疗,对提高疾病“早筛查,早评估,早干预”有重要意义。

小区域尺度视角下的丽江市玉河健康特征研究

随着社会发展,工业化、城镇化进程不断加快,河湖生态问题日益突出且呈现更复杂的发展态势,进行河湖健康评价,开展河湖健康问题诊断,针对性地提出河湖生态系统精准治理、生态修复与保护等对策显的尤为迫切.结合丽江市典型河流玉河,以水域岸线状况、水量水质状况、生物状况、社会服务功能等4个准则层为重要抓手,构建11个指标层的河流健康评价体系,将玉河划分为农村段、城镇段、复合段3个小区域尺度进行综合评价,探讨了小区域尺度河流健康评价差异性特征,研究表明:玉河全河段、各分段均处于亚健康状态,玉河农村段、复合段、各城镇段岸线部分指标层、准则层间健康状况差异性显著,主要存在水资源禀赋差,生态流量小,底栖动物少,局部岸线状况较差的问题.

多源数据融合视角下突发公共卫生事件信息公开质量评估体系研究

[目的/意义]构建基于国家政策、研究文献、公众访谈资料在内的多源数据视角下的突发公共卫生事件信息公开质量评估体系,旨在更全面地评估信息公开质量,明确当前信息公开中存在的问题,进而有的放矢提升信息公开质量。[方法/过程]利用扎根理论的研究方法,选取国家政策、研究文献、访谈资料共计32份数据作为原始资料,利用Nvivo12质性分析软件对资料进行开放式编码、主轴式编码和选择式编码,并通过理论饱和度检验验证编码结果可信度。[结果/结论]构建多源数据融合视角下的突发公共卫生事件信息公开质量评估体系,分为基础保障、执行过程、社会效应以及核心内容4个维度,包括资源建设、流程管理、服务提供、传播载体、公众体验、政民互动和信息内容7个一级指标和40个二级指标,并给出了各指标的含义和类属,为有效开展更全面的突发公共卫生事件信息公开质量评估工作提供了理论和实践基础。

广东省河湖健康评价系统设计与实现

河湖健康评价是对河湖健康状况的综合诊断,是全面推行河湖长制的重要抓手。广东省河湖健康评价系统作为“广东智慧河长”三期工程的重要模块,以《广东省2021年河湖健康评价技术指引》为评价原理,以评价准确、操作简单、灵活应用为设计理念,具备河流分段评价、湖库分区评价、指标体系构建、指标数据填报、评价结果展示等功能,系统实现了河湖健康评价的全流程,以信息化技术赋能河湖健康管理业务,是技术驱动业务创新的应用举措,将为今后持续开展的健康评价工作提供重要支撑。

《广东省河湖健康评价技术指引(2023年修订版)》解读

《广东省河湖健康评价技术指引(2023年修订版)》于2023年8月30日正式发布,为使河湖管理专业技术人员全面了解河湖健康评价内容,有侧重、有特点、高效率开展河湖健康评价工作,该文对指引修订背景、修订过程、问题查找、主要修订内容等进行了详细解读,旨在对广东省河湖健康评价工作起到一定的指导和借鉴作用,切实提高广东省河湖健康评价的工作质量和成果可靠性。