Health and Fall Risk Monitoring Within Common Assessments

2021 ◽  
pp. 182-199
Author(s):  
Rafael Nogueira Rodrigues ◽  
Adriana Caldo ◽  
Fernanda M. Silva ◽  
Cidalina Conceição Ferreira Abreu ◽  
Guilherme Eustaquio Furtado ◽  
...  
Keyword(s):  
Global Health ◽  
Fall Risk ◽  
Health Assessment ◽  
Assessment Tools ◽  
Specific Intervention ◽  
Common Assessments ◽  
Risk Monitoring ◽  
Fitness Assessment ◽  
Assessment And Monitoring ◽  
Specific Assessment

This chapter presents an exploratory review on the evaluation, assessment, and monitoring in health and fall risk by common and the most used assessment tools. The main discussion of this chapter of evaluation in health and fall risk is divided into six categories—global health assessment, specific physical (and fitness) assessment, cognitive and psychological assessment, pharmacological assessment, fall risk specific assessment, and some complementary assessment—which show information and how to access. Whereas health evaluative experiences and practices are essential to drive a better and specific intervention, revealing its importance and necessity was also highlighted.

A Survey of Speech-Language Pathologists' Approaches to Assessing Social Communication Disorders in Children

2020 ◽  
pp. 1-17
Author(s):  
Kristen Izaryk ◽  
Robin Edge ◽  
Dawn Lechwar
Keyword(s):  
Best Practices ◽  
Communication Disorders ◽  
Assessment Tools ◽  
Self Report ◽  
Speech Language Pathologists ◽  
Teacher Report ◽  
Formal Assessment ◽  
Language Sampling ◽  
Specific Assessment ◽  
Social Communication Disorders

Purpose The purpose of this article is to explore and describe the approaches and specific assessment tools that speech-language pathologists are currently using to assess social communication disorders (SCDs) in children, in relation to current best practices. Method Ninety-four speech-language pathologists completed an online survey asking them to identify which of the following approaches they use to assess children with SCD: parent/teacher report, naturalistic observation, formal assessment, language sample analysis, interviews, semistructured tasks, and peer/self-report. Participants were also asked to identify specific assessment tools they use within each approach. Results Participants most commonly assess SCDs by combining interviews, naturalistic observation, language sampling, parent/teacher report, and formal assessment. Semistructured tasks and peer/self-report tools were less frequently utilized. Several established parent/teacher report and formal assessment tools were commonly identified for assessing SCDs. Most participants use an informal approach for interviews, language sampling, and naturalistic observations in their SCD assessment process. Conclusions Generally, participants follow best practices for assessing SCDs by combining several different approaches. Some considerations for future assessment are identified, including the use of established protocols in the place of informal approaches in order to make the assessment of SCDs more systematic. Future directions for research are discussed.

Measurement of Instrumental and Vocal Undergraduate Performance Juries Using a Multidimensional Assessment Rubric

2009 ◽  
Vol 57 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Charles R. Ciorba ◽  
Neal Y. Smith
Keyword(s):  
Music Performance ◽  
Assessment Tools ◽  
Applied Music ◽  
Performance Achievement ◽  
Multidimensional Assessment ◽  
Solo Music ◽  
Interjudge Reliability ◽  
Specific Assessment ◽  
High Level ◽  
Assessment Rubric

Recent policy initiatives instituted by major accrediting bodies require the implementation of specific assessment tools to provide evidence of student achievement in a number of areas, including applied music study. The purpose of this research was to investigate the effectiveness of a multidimensional assessment rubric, which was administered to all students performing instrumental and vocal juries at a private Midwestern university during one semester ( N = 359). Interjudge reliability coefficients indicated a moderate to high level of agreement among judges. Results also revealed that performance achievement was positively related to participants' year in school (freshman, sophomore, junior, and senior), which indicates that a multidimensional assessment rubric can effectively measure students' achievement in the area of solo music performance.

scholarly journals Formal Verification of Health Assessment Tools: a Case Study

2016 ◽  
Vol 324 ◽  
pp. 31-50 ◽  
Author(s):  
Jonas Santos Bezerra ◽  
Andrei Costa ◽  
Leila Ribeiro ◽  
Érika Cota
Keyword(s):  
Formal Verification ◽  
Health Assessment ◽  
Assessment Tools

G-8 Geriatric Screening Tool Independently Predicts Progression-Free Survival in Older Ovarian Cancer Patients Irrespective of Maximal Surgical Effort: Results of a Retrospective Cohort Study

Gerontology ◽  
2021 ◽  
pp. 1-10
Author(s):  
Katharina Anic ◽  
Sophie Birkert ◽  
Mona Wanda Schmidt ◽  
Valerie Catherine Linz ◽  
Anne-Sophie Heimes ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Global Health ◽  
Screening Tool ◽  
Prognostic Index ◽  
Progression Free Survival ◽  
Assessment Tools ◽  
Prognostic Impact ◽  
Free Survival ◽  
Geriatric Screening ◽  
The Impact

<b><i>Background:</i></b> We evaluated the prognostic impact of various global health assessment tools in patients older than 60 years with ovarian cancer (OC). <b><i>Methods:</i></b> G-8 geriatric screening tool (G-8 score), Lee Schonberg prognostic index, Eastern Cooperative Oncology Group (ECOG) performance status, and Charlson Comorbidity Index (CCI) were determined retrospectively in a consecutive cohort of elderly patients with OC. Univariate and multivariate Cox regression analyses and Kaplan-Meier method were performed to analyze the impact of the preoperative global health status on survival. <b><i>Results:</i></b> 116 patients entered the study. In multivariate analysis adjusted for clinical-pathological factors, only the G-8 score retained significance as a prognostic parameter of progression-free survival (PFS) (hazard ratio [HR]: 1.970; 95% confidence interval [CI] [1.056–3.677]; <i>p</i> = 0.033). Fifty-six patients were classified as G-8-nonfrail with an increased PFS compared to 50 G-8-frail patients (53.4% vs. 16.7%; <i>p</i> = 0.010). A higher CCI was associated with decreased PFS (45.1% vs. 22.2%; <i>p</i> = 0.012), but it did not influence the risk of recurrences or death (<i>p</i> = 0.360; <i>p</i> = 0.111). The Lee Schonberg prognostic index, the ECOG, and age were not associated with survival. <b><i>Conclusions:</i></b> The G-8 score independently predicted PFS in elderly OC patients regardless of maximal surgical effort. Thus, it could be useful to assess surgical treatment based on frailty rather than age alone.

scholarly journals Implementation of Depression Screening and Global Health Assessment in Pediatric Subspecialty Clinics

2017 ◽  
Vol 61 (5) ◽  
pp. 591-598 ◽  
Author(s):  
Esti Iturralde ◽  
Rebecca N. Adams ◽  
Regan C. Barley ◽  
Rachel Bensen ◽  
Megan Christofferson ◽  
...  
Keyword(s):  
Global Health ◽  
Health Assessment ◽  
Depression Screening ◽  
Pediatric Subspecialty

scholarly journals Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data (Preprint)

2018 ◽  
Author(s):  
Insook Cho ◽  
Eun-Hee Boo ◽  
Eunja Chung ◽  
David W. Bates ◽  
Patricia Dykes
Keyword(s):  
Risk Assessment ◽  
Error Rate ◽  
Fall Risk ◽  
Assessment Tool ◽  
Assessment Tools ◽  
Fall Risk Assessment ◽  
C Statistic ◽  
Risk Assessment Tools ◽  
Hospital Days ◽  
Cross Site

BACKGROUND Electronic medical records (EMRs) contain a considerable amount of information about patients. The rapid adoption of EMRs and the integration of nursing data into clinical repositories have made large quantities of clinical data available for both clinical practice and research. OBJECTIVE In this study, we aimed to investigate whether readily available longitudinal EMR data including nursing records could be utilized to compute the risk of inpatient falls and to assess their accuracy compared with existing fall risk assessment tools. METHODS We used 2 study cohorts from 2 tertiary hospitals, located near Seoul, South Korea, with different EMR systems. The modeling cohort included 14,307 admissions (122,179 hospital days), and the validation cohort comprised 21,172 admissions (175,592 hospital days) from each of 6 nursing units. A probabilistic Bayesian network model was used, and patient data were divided into windows with a length of 24 hours. In addition, data on existing fall risk assessment tools, nursing processes, Korean Patient Classification System groups, and medications and administration data were used as model parameters. Model evaluation metrics were averaged using 10-fold cross-validation. RESULTS The initial model showed an error rate of 11.7% and a spherical payoff of 0.91 with a c-statistic of 0.96, which represent far superior performance compared with that for the existing fall risk assessment tool (c-statistic=0.69). The cross-site validation revealed an error rate of 4.87% and a spherical payoff of 0.96 with a c-statistic of 0.99 compared with a c-statistic of 0.65 for the existing fall risk assessment tool. The calibration curves for the model displayed more reliable results than those for the fall risk assessment tools alone. In addition, nursing intervention data showed potential contributions to reducing the variance in the fall rate as did the risk factors of individual patients. CONCLUSIONS A risk prediction model that considers longitudinal EMR data including nursing interventions can improve the ability to identify individual patients likely to fall.

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