scholarly journals Psychometric and Pragmatic Properties of Social Risk Screening Tools: A Systematic Review

2019 ◽  
Vol 57 (6) ◽  
pp. S13-S24 ◽  
Author(s):  
Nora B. Henrikson ◽  
Paula R. Blasi ◽  
Caitlin N. Dorsey ◽  
Kayne D. Mettert ◽  
Matthew B. Nguyen ◽  
...  
Author(s):  
David Franciole de Oliveira Silva ◽  
Severina Carla Vieira Cunha Lima ◽  
Karine Cavalcanti Mauricio Sena-Evangelista ◽  
Dirce Marchioni ◽  
Ricardo Ney Cobucci ◽  
...  

Coronavirus disease 2019 (COVID-19) is associated with high risk of malnutrition, primarily in elderly people; assessing nutritional risk using appropriate screening tools is critical. This systematic review identified applicable tools and assessed their measurement properties. Literature was searched in the MEDLINE, Embase, and LILACS databases. Four studies conducted in China met the eligibility criteria. Sample sizes ranged from six to 182, and participants’ ages from 65 to 87 years. Seven nutritional screening and assessment tools were used: the Nutritional Risk Screening 2002 (NRS-2002), Mini Nutritional Assessment (MNA), MNA-short form (MNA-sf), Malnutrition Universal Screening Tool (MUST), Nutritional Risk Index (NRI), Geriatric NRI (GNRI), and modified Nutrition Risk in the Critically ill (mNUTRIC) score. Nutritional risk was identified in 27.5% to 100% of participants. The NRS-2002, MNA, MNA-sf, NRI, and MUST demonstrated high sensitivity; the MUST had better specificity. The MNA and MUST demonstrated better criterion validity. The MNA-sf demonstrated better predictive validity for poor appetite and weight loss; the NRS-2002 demonstrated better predictive validity for prolonged hospitalization. mNUTRIC score demonstrated good predictive validity for hospital mortality. Most instruments demonstrate high sensitivity for identifying nutritional risk, but none are acknowledged as the best for nutritional screening in elderly COVID-19 patients.


2020 ◽  
Vol 9 (9) ◽  
pp. 5026
Author(s):  
CaraC Lewis ◽  
Robert Wellman ◽  
SaleneM W Jones ◽  
Callie Walsh-Bailey ◽  
Ella Thompson ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2956 ◽  
Author(s):  
David Franciole Oliveira Silva ◽  
Severina Carla Vieira Cunha Lima ◽  
Karine Cavalcanti Mauricio Sena-Evangelista ◽  
Dirce Maria Marchioni ◽  
Ricardo Ney Cobucci ◽  
...  

Coronavirus disease 2019 (COVID-19) is associated with high risk of malnutrition, primarily in older people; assessing nutritional risk using appropriate screening tools is critical. This systematic review identified applicable tools and assessed their measurement properties. Literature was searched in the MEDLINE, Embase, and LILACS databases. Four studies conducted in China met the eligibility criteria. Sample sizes ranged from six to 182, and participants’ ages from 65 to 87 years. Seven nutritional screening and assessment tools were used: the Nutritional Risk Screening 2002 (NRS-2002), the Mini Nutritional Assessment (MNA), the MNA-short form (MNA-sf), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Index (NRI), the Geriatric NRI (GNRI), and modified Nutrition Risk in the Critically ill (mNUTRIC) score. Nutritional risk was identified in 27.5% to 100% of participants. The NRS-2002, MNA, MNA-sf, NRI, and MUST demonstrated high sensitivity; the MUST had better specificity. The MNA and MUST demonstrated better criterion validity. The MNA-sf demonstrated better predictive validity for poor appetite and weight loss; the NRS-2002 demonstrated better predictive validity for prolonged hospitalization. mNUTRIC score demonstrated good predictive validity for hospital mortality. Most instruments demonstrate high sensitivity for identifying nutritional risk, but none are acknowledged as the best for nutritional screening in older adults with COVID-19.


2020 ◽  
Vol 55 (S1) ◽  
pp. 138-138
Author(s):  
E. De Marchis ◽  
N. Adler ◽  
C. Clark ◽  
A. Cohen ◽  
E. Fleegler ◽  
...  

2014 ◽  
Vol 71 (6) ◽  
pp. 1198-1209 ◽  
Author(s):  
Maria Matarese ◽  
Dhurata Ivziku ◽  
Francesco Bartolozzi ◽  
Michela Piredda ◽  
Maria Grazia De Marinis

2021 ◽  
pp. 101627
Author(s):  
Irene Deftereos ◽  
Aleksandra Djordjevic ◽  
Vanessa M. Carter ◽  
Jacqueline McNamara ◽  
Justin MC. Yeung ◽  
...  

2021 ◽  
pp. emermed-2020-209607
Author(s):  
Stephanie P Jones ◽  
Janet E Bray ◽  
Josephine ME Gibson ◽  
Graham McClelland ◽  
Colette Miller ◽  
...  

BackgroundAround 25% of patients who had a stroke do not present with typical ‘face, arm, speech’ symptoms at onset, and are challenging for emergency medical services (EMS) to identify. The aim of this systematic review was to identify the characteristics of acute stroke presentations associated with inaccurate EMS identification (false negatives).MethodWe performed a systematic search of MEDLINE, EMBASE, CINAHL and PubMed from 1995 to August 2020 using key terms: stroke, EMS, paramedics, identification and assessment. Studies included: patients who had a stroke or patient records; ≥18 years; any stroke type; prehospital assessment undertaken by health professionals including paramedics or technicians; data reported on prehospital diagnostic accuracy and/or presenting symptoms. Data were extracted and study quality assessed by two researchers using the Quality Assessment of Diagnostic Accuracy Studies V.2 tool.ResultsOf 845 studies initially identified, 21 observational studies met the inclusion criteria. Of the 6934 stroke and Transient Ischaemic Attack patients included, there were 1774 (26%) false negative patients (range from 4 (2%) to 247 (52%)). Commonly documented symptoms in false negative cases were speech problems (n=107; 13%–28%), nausea/vomiting (n=94; 8%–38%), dizziness (n=86; 23%–27%), changes in mental status (n=51; 8%–25%) and visual disturbance/impairment (n=43; 13%–28%).ConclusionSpeech problems and posterior circulation symptoms were the most commonly documented symptoms among stroke presentations that were not correctly identified by EMS (false negatives). However, the addition of further symptoms to stroke screening tools requires valuation of subsequent sensitivity and specificity, training needs and possible overuse of high priority resources.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Anisa Y. Mughal ◽  
Jackson Devadas ◽  
Eric Ardman ◽  
Brooke Levis ◽  
Vivian F. Go ◽  
...  

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