SCREEN III: working towards a condensed screening tool to detect nutrition risk in community-dwelling older adults using CLSA data

2019 ◽  
Vol 73 (9) ◽  
pp. 1260-1269 ◽  
Author(s):  
Jill M. Morrison ◽  
Celia V. Laur ◽  
Heather H. Keller
EDIS ◽  
2020 ◽  
Vol 2020 (4) ◽  
Author(s):  
Karima Alabasi ◽  
Nancy J. Gal ◽  
Wendy Dahl

Nutrition risk screening is a first step to quickly identify individuals who might be malnourished or at risk of malnutrition. A malnutrition screening tool should be easy to use, quick to administer, and valid&mdash;able to correctly identify those at risk of malnutrition. The Comprehensive Older Adult Screening Tool (COAST) is a valid and practical tool to determine if community-dwelling older adults, specifically older adults of lower socioeconomic status, are at risk for malnutrition. This new 6-page publication of the UF/IFAS Food Science and Human Nutrition Department, written by Karima Alabasi, Nancy J. Gal, and Wendy J. Dahl, provides an introduction to COAST as well as the 5-question screening tool.<br /><a href="https://edis.ifas.ufl.edu/fs393">https://edis.ifas.ufl.edu/fs393</a>


Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 477
Author(s):  
Catherine B. Chan ◽  
Naomi Popeski ◽  
Leah Gramlich ◽  
Marlis Atkins ◽  
Carlota Basualdo-Hammond ◽  
...  

Community-dwelling, older adults have a high prevalence of nutrition risk but strategies to mitigate this risk are not routinely implemented. Our objective was to identify opportunities for the healthcare system and community organizations to combat nutrition risk in this population in the jurisdiction of Alberta, Canada. An intersectoral stakeholder group that included patient representatives was convened to share perspectives and experiences and to identify problems in need of solutions using a design thinking approach. Results: Two main themes emerged from the workshop: (1) lack of awareness and poor communication of the importance of nutrition risk between healthcare providers and from healthcare providers to patients and (2) the necessity to work in partnerships comprised of patients, community organizations, healthcare providers and the health system. Conclusion: Improving awareness, prevention and treatment of malnutrition in community-dwelling older adults requires intersectoral cooperation between patients, healthcare providers and community-based organizations.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Keitaro Makino ◽  
Sangyoon Lee ◽  
Seongryu Bae ◽  
Ippei Chiba ◽  
Kenji Harada ◽  
...  

Abstract Background Established clinical assessments for detecting dementia risk often require time, cost, and face-to-face meetings. We aimed to develop a Simplified Telephone Assessment for Dementia risk (STAD) (a new screening tool utilizing telephonic interviews to predict dementia risk) and examine the predictive validity of the STAD for the incidence of dementia. Methods We developed STAD based on a combination of literature review, statistical analysis, and expert opinion. We selected 12 binary questions on subjective cognitive complaints, depressive symptoms, and lifestyle activities. In the validation study, we used STAD for 4298 community-dwelling older adults and observed the incidence of dementia during the 24-month follow-up period. The total score of STAD ranging from 0 to 12 was calculated, and the cut-off point for dementia incidence was determined using the Youden index. The survival rate of dementia incidence according to the cut-off points was determined. Furthermore, we used a decision-tree model (classification and regression tree, CART) to enhance the predictive ability of STAD for dementia risk screening. Results The cut-off point of STAD was set at 4/5. Participants scoring ≥ 5 points showed a significantly higher risk of dementia than those scoring ≤ 4 points, even after adjusting for covariates (hazard ratio [95% confidence interval], 2.67 [1.40–5.08]). A decision tree model using the CART algorithm was constructed using 12 nodes with three STAD items. It showed better performance for dementia prediction in terms of accuracy and specificity as compared to the logistic regression model, although its sensitivity was worse than the logistic regression model. Conclusions We developed a 12-item questionnaire, STAD, as a screening tool to predict dementia risk utilizing telephonic interviews and confirmed its predictive validity. Our findings might provide useful information for early screening of dementia risk and enable bridging between community and clinical settings. Additionally, STAD could be employed without face-to-face meetings in a short time; therefore, it may be a suitable screening tool for community-dwelling older adults who have negative attitudes toward clinical examination or are non-adherent to follow-up assessments in clinical trials.


2016 ◽  
Vol 23 (1) ◽  
pp. 61-67 ◽  
Author(s):  
Zunaidah Abu Samah ◽  
Nor Azlin Mohd Nordin ◽  
Suzana Shahar ◽  
Devinder Kaur Ajit Singh

2021 ◽  
Vol 42 (5) ◽  
pp. 1048-1055
Author(s):  
Ampicha Nawai ◽  
Sutthida Phongphanngam ◽  
Montri Khumrungsee ◽  
Suzanne G Leveille

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 237-237
Author(s):  
Nancy Gell ◽  
Caitlin Eckert ◽  
Jennifer Schollmeyer ◽  
Mariana Wingood ◽  
Emily Tarleton

Abstract Decreasing fall risk and maintaining independence is vital for community dwelling older adults. Nutritional status and rural residence may be independent predictors of falls. The aim of this study was to evaluate if nutritional status and rurality are positively associated with fall risk and predictive of future falls in community-dwelling older adults. We used data from a health risk assessment conducted by the Support and Services at Home organization serving Medicare beneficiaries in Vermont in 2017-2019 (N=3109; 79.6 years ±8.4, 75% female). Measures included the Fall Risk Questionnaire, Determine Nutrition Risk questionnaire, and fall history. Descriptive statistics from baseline measures and logistic regression analyses were used to identify predictors of a new fall with respect to rurality, fall risk, and nutritional status. At baseline, 67% of participants lived in rural communities, 37% had high nutrition risk, and 60% had elevated fall risk. Independently, rurality and high nutrition risk were significantly associated with fall risk (p&lt;0.001) and high nutrition risk was associated with rurality (p&lt;0.001). In the adjusted model, rural residence was not significantly associated with a fall within one year from baseline, whereas participants at high nutrition risk had a 50% higher odds of falling (p= 0.001). These findings suggest that falls may be associated with nutrition risk, but not living in a rural setting. Community-based initiatives should consider including nutrition screens as part of fall risk assessments. Further research is needed to understand the relationship between nutrition status and falls risk.


Geriatrics ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. 90 ◽  
Author(s):  
Aarthi Madhavan ◽  
Giselle Carnaby ◽  
Karishma Chhabria ◽  
Michael Crary

Evidence suggests that community dwelling older adults (CDOA) are at risk for dysphagia (swallowing difficulties). Dysphagia is often unidentified until related morbidities like under nutrition or pneumonia occur. These cases of unidentified dysphagia, prior to any clinical intervention, may be termed ‘pre-clinical dysphagia’. Identifying pre-clinical dysphagia is challenged by the lack of validated tools appropriate for CDOA. This study addresses preliminary development of a novel patient reported outcome (PRO) screening tool for pre-clinical dysphagia. Initially, 34 questions were developed from literature review and expert opinion. Following pilot testing (n = 53), the questionnaire was revised and tested on 335 additional CDOA. Face validity, content validity, item analysis, reliability (internal consistency), and construct validity (exploratory factor analysis) measures were completed. Psychometric validation resulted in a 17-question PRO tool. Construct analysis identified a three-factor model that explained 67.345% of the variance. Emergent factors represented swallowing effort, physical function, and cognitive function. The results revealed strong construct validity and internal consistency (Cronbach’s α = 0.90). A novel, simple PRO incorporating multiple function domains associated with aging demonstrated strong preliminary psychometric properties. This tool is more comprehensive and aging-focused than existing dysphagia screening tools. Inclusion of multiple domains may be key in early identification of pre-clinical dysphagia.


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