婴儿饮食行为量表的编制与评价

目的 旨在编制一套具有高信效度的本土化婴儿饮食行为量表,以早期识别、预防婴儿饮食行为的发生。方法 对281名6~11月龄婴儿进行初始问卷调查。运用因子分析、区分度分析、Cronbach's α系数及Spearman相关分析筛选条目,形成试用问卷。对935名6~11月龄婴儿行试用问卷调查,筛选条目并形成正式量表。运用折半信度、重测信度、探索性因子分析和验证性因子分析等方法评价量表的信效度。结果 1)形成包含6个维度、33个条目的婴儿饮食行为量表,Cronbach's α系数为0.910,折半信度为0.927,重测信度为0.693,与各维度的相关系数为0.266~0.752。验证性因子分析示χ²/df=3.180,GFI=0.831,CFI=0.842,RFI=0.766,RMSEA=0.068。2)婴儿体格生长与出生体重、食物种类与进食能力、喂养人行为和食物响应相关(P<0.05)。父母文化水平和家庭收入对婴儿饮食行为影响显著(P<0.05)。结论 婴儿饮食行为量表具有良好的信效度,可客观反映6~11月龄婴儿的饮食行为问题,是我国本土化婴儿饮食行为评估的科学可信工具。     

Development and Validation of the Sexual and Reproductive Empowerment Scale for Adolescents and Young Adults

PurposeWe developed and validated a measure that assesses the latent construct of sexual and reproductive empowerment among adolescents and young adults. A specific measure for this group is critical because of their unique life stage and circumstances, which often includes frequent changes in sexual partners and involvement from parents in decision-making.MethodsAfter formative qualitative research, a review of the literature, and cognitive interviews, we developed 95 items representing nine dimensions of sexual and reproductive empowerment. Items were then fielded among a national sample of young people aged 15–24 years, and those who identified as sexually active completed a 3-month follow-up survey. We conducted psychometric analysis and scale validation.ResultsExploratory factor analysis on responses from 1,117 participants resulted in the Sexual and Reproductive Empowerment Scale for Adolescents and Young Adults, containing 23 items captured by seven subscales: comfort talking with partner; choice of partners, marriage, and children; parental support; sexual safety; self-love; sense of future; and sexual pleasure. Validation using logistic regression demonstrated that the subscales were consistently associated with sexual and reproductive health information and access to sexual and reproductive health services measured at baseline and moderately associated with the use of desired contraceptive methods at 3-month follow-up.ConclusionsThe Sexual and Reproductive Empowerment Scale for Adolescents and Young Adults is a new measure that assesses young people’s empowerment regarding sexual and reproductive health. It can be used by researchers, public health practitioners, and clinicians to measure sexual and reproductive empowerment among young people.     

Can the Multidimensional Prognostic Index Improve the Identification of Older Hospitalized Patients with COVID-19 Likely to Benefit from Mechanical Ventilation? An Observational,Prospective, Multicenter Study

ObjectiveData on prognostic tools for indicating mechanical ventilation in older people with COVID-19 are still limited. The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from mechanical ventilation.DesignLongitudinal, multicenter study.Settings and Participants502 older people hospitalized for COVID-19 in 10 European hospitals.MethodsMPI was calculated using 8 different domains typical of the CGA. A propensity score, Cox's regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days' follow-up, stratified by MPI = 0.50. The accuracy of MPI in predicting negative outcomes (ie, rehospitalization/mortality) was assessed using the area under the curve (AUC), and the discrimination with several indexes like the Net Reclassification Improvement (NRI) and the Integrated Discrimination Improvement (IDI).ResultsAmong 502 older people hospitalized for COVID-19 (mean age: 80 years), 152 were treated with mechanical ventilation. In the propensity score analysis, during the 90-day follow-up period, there were 44 rehospitalizations and 95 deaths. Mechanical ventilation in patients with MPI values ≥ 0.50, indicating frailer participants, was associated with a higher risk of rehospitalization/mortality (hazard ratio 1.56, 95% CI 1.09-2.23), whereas in participants with MPI values < 0.50 this association was not significant. The accuracy of the model including age, sex, respiratory parameters, and MPI was good (AUC = 0.783) as confirmed by an NRI of 0.2756 (P < .001) and an IDI of 0.1858 (P < .001), suggesting a good discrimination of the model in predicting negative outcomes.Conclusions and ImplicationsMPI could be useful for better individualizing older people hospitalized by COVID-19 who could benefit from mechanical ventilation.     

Frailty in Nursing Homes—A Prospective Study Comparing the FRAIL-NH and the Clinical Frailty Scale

ObjectivesFrailty is common in nursing home (NH) residents, but its prevalence in German institutions is unknown. Valid and easy-to-use screening tools are needed to identify frail residents. We used the FRAIL-NH scale and the Clinical Frailty Scale (CFS) to (1) obtain the prevalence of frailty, (2) investigate the agreement between both instruments, and (3) evaluate their predictive validity for adverse health events in German NH residents.DesignProspective cohort study.Setting and participantsGerman NH residents (n = 246, age 84 ± 8 years, 67% female).MethodsFrailty status was categorized according to FRAIL-NH (nonfrail, frail, most frail) and CFS (not frail, mild to moderately frail, severely frail). Agreement between instruments was examined by Spearman correlation, an area under the receiver operating characteristic curve (AUC) with 95% CI, and sensitivity and specificity using the “most frail” category of FRAIL-NH as reference standard. Adverse health events (death, hospital admissions, falls) were recorded for 12 months, and multivariate cox and logistic regression models calculated.ResultsAccording to FRAIL-NH, 71.1% were most frail, 26.4% frail, and 2.5% nonfrail. According to CFS, 66.3% were severely frail, 26.8% mild to moderately frail, and 6.9% not frail. Both scales correlated significantly (r = 0.78; R² = 60%). The AUC was 0.92 (95% CI 0.88-0.96). Using a CFS cutoff of 7 points, sensitivity was 0.90 and specificity 0.92. The frailest groups according to both instruments had an increased risk of death [FRAIL-NH hazard ratio (HR) 2.19, 95% CI 1.21-3.99; CFS HR 2.56, 95% CI 1.43-4.58] and hospital admission [FRAIL-NH odds ratio (OR) 1.95, 95% CI 1.06-3.58; CFS OR 1.79, 95% CI 1.01-3.20] compared to less frail residents. The FRAIL-NH predicted recurrent faller status (OR 2.57, 95% CI 1.23-5.39).Conclusions and implicationsFrailty is highly prevalent in German NH residents. Both instruments show good agreement despite different approaches and are able to predict adverse health outcomes. Based on our findings and because of its simple administration, CFS may be an alternative to FRAIL-NH for assessing frailty in NHs.     

A Cross-Sectional,Correlational Study Comparing Individual Characteristics of Younger and Older Nursing Home Residents using Western Canadian Resident Assessment Instrument–Minimum Data Set (RAI-MDS) 2.0

ObjectiveTo compare characteristics of nursing home (NH) residents by age categories in Western Canada.DesignA cross-sectional, correlational analysis of secondary data.Setting and Participants89,231 residents living in Western Canada NHs in the provinces of Alberta, Manitoba, and British Columbia in 2016 and 2017.MethodsResident characteristics (age, sex, marital status, body mass index, medical diagnoses, cognitive function, physical function, depressive symptoms) came from the Resident Assessment Instrument–Minimum Data Set 2.0 and were analyzed using chi-square, analysis of variance, and post hoc pairwise tests. Human developmental stage age categories were used to create 5 age groups: 18-34, 35-50, 51-64, 65-80, and 81 years and older.ResultsThe demographics, medical diagnoses, cognitive function, and physical function characteristics of NH residents among 5 age groups differed considerably (all P < .001). Residents aged 18-34 years were predominately male, never married, with a higher incidence of paralysis and traumatic brain injury. Residents aged 35-50 years had a higher incidence of stroke and multiple sclerosis, and residents aged 51-64 years mainly were morbidly obese and more prone to depression. Residents aged 65-80 years were predominately married and more prone to diabetes, and residents aged 81 years and older were predominately widowed, with a higher incidence of dementia compared with others.Conclusions and ImplicationsFindings describe the uniqueness of younger NH age groups and indicate that the youngest NH residents often have the severe disability and a modest support system (as defined by partnered status) compared to older residents in NHs. Future studies must analyze longitudinal data that track the growth of, and changes in, residents’ health and functional status.     

商场空气卫生质量评价方法的研究

目的：建立一个对商场室内空气质量做综合评价的方法。方法：借助重庆市5家商场空气监测数据建立多元判别模型,将各检测点空气区分为不清洁空气、清洁空气、最清洁空气三类,通过各商场各类空气的比例判断该商场的综合状况及不同商场空气质量的优劣。结果：评价结果与实际情况相符合。结论：该方法可在实际中推广使用。     

Assessment of Informal Caregiver Assistance and Strain With Total Hip and Knee Arthroplasty

BackgroundThe purpose of our study is to assess which patient-related and caregiver-related factors are predictive of caregiver strain and assistance when caring for total hip and knee arthroplasty (THA and TKA) patients within 2 weeks after surgery.MethodsWe conducted a prospective study of caregivers of participants enrolled in 2 randomized trials. Caregivers provided demographics and completed the Caregiver Strain Index and Caregiver Assistance Scale pre-surgery and post-surgery. We performed backwards stepwise regression with mixed-effects negative binomial models to investigate predictors of caregiver strain and assistance for THA and TKA caregivers.ResultsThree hundred six caregiver/patient pairs were included. Our models of caregiver strain found Caregiver Assistance Scale scores and patient age to be predictive for all caregivers. We also found caregiver gender and smoking status to be predictive for THA caregivers and caregiver age to be predictive for TKA caregivers. Our models of assistance provided by caregivers found time (post-surgery vs pre-surgery) was predictive for all caregivers. We also found patient body mass index, and patient and caregiver gender to be predictive for THA caregivers, and patient and caregiver employment status and caregiver education level to be predictive for TKA caregivers.ConclusionOur study identifies patient-related and caregiver-related factors which are associated with caregiver strain and assistance when caring for arthroplasty patients. As this is the first study to assess assistance provided by caregivers, it is important for future research to validate our results and to further explore whether patient-reported outcomes may also be related to assistance and strain.     

Quality of dictated feedback associated with SIMPL operative assessments of pediatric surgical trainees

BackgroundSIMPL is a workplace-based operative performance assessment tool which allows for dictated feedback (DF). To better understand the value of DF, we sought to characterize the type and quality of DF generated during SIMPL evaluations.MethodsThematic analysis of DF from SIMPL assessments between June 2017 and December 2018 at a single pediatric surgery fellowship program was performed. Comments were categorized as specific, encouraging or corrective. Categories were combined to determine DF quality as effective, mediocre or ineffective.ResultsOf 781 SIMPL assessments (21 faculty, 5 trainees), 451 (57%) had DF. Most comments were encouraging (93%) and specific (65%). Only 21% were corrective, 17% had entrustment features, and 8% had an explicit learning plan. Feedback quality was deemed mediocre (45%), ineffective (33%) and effective (21%).ConclusionSIMPL dictated feedback was mostly encouraging and specific. To improve quality, feedback should incorporate learning plans as well as corrective and entrustment features.     

Natural language processing and entrustable professional activity text feedback in surgery: A machine learning model of resident autonomy

BackgroundEntrustable Professional Activities (EPAs) contain narrative ‘entrustment roadmaps’ designed to describe specific behaviors associated with different entrustment levels. However, these roadmaps were created using expert committee consensus, with little data available for guidance. Analysis of actual EPA assessment narrative comments using natural language processing may enhance our understanding of resident entrustment in actual practice.MethodsAll text comments associated with EPA microassessments at a single institution were combined. EPA—entrustment level pairs (e.g. Gallbladder Disease—Level 1) were identified as documents. Latent Dirichlet Allocation (LDA), a common machine learning algorithm, was used to identify latent topics in the documents associated with a single EPA. These topics were then reviewed for interpretability by human raters.ResultsOver 18 months, 1015 faculty EPA microassessments were collected from 64 faculty for 80 residents. LDA analysis identified topics that mapped 1:1 to EPA entrustment levels (Gammas >0.99). These LDA topics appeared to trend coherently with entrustment levels (words demonstrating high entrustment were consistently found in high entrustment topics, word demonstrating low entrustment were found in low entrustment topics).ConclusionsLDA is capable of identifying topics relevant to progressive surgical entrustment and autonomy in EPA comments. These topics provide insight into key behaviors that drive different level of resident autonomy and may allow for data-driven revision of EPA entrustment maps.