Generalizing the Detection of Clinical Guideline Interactions Enhanced with LOD

2017 ◽  
pp. 360-386
Author(s):  
Veruska Zamborlini ◽  
Rinke Hoekstra ◽  
Marcos da Silveira ◽  
Cedric Pruski ◽  
Annette ten Teije ◽  
...  
Keyword(s):  
Clinical Guideline

Dual Task, Noise, and The Speech-Language Pathologist: A Clinical Guideline for Adult Multi-Tasking Intervention With Noise

2017 ◽  
Vol 2 (15) ◽  
pp. 32-41
Author(s):  
Jennine Harvey ◽  
Scott Seeman ◽  
Deborah von Hapsburg
Keyword(s):  
Dual Task ◽  
Clinical Guideline ◽  
Older Individuals ◽  
Speech Language Pathology ◽  
Speech Language Pathologist ◽  
Hearing In Noise ◽  
Hearing Function ◽  
Language Pathology ◽  
Relationship Of ◽  
The Relationship

The field of Cognitive Hearing Science examines the relationship between cognitive, linguistic, and hearing functions. Although these areas are of particular importance to speech-language pathology, few studies have investigated applications of cognitive hearing science to clinical practice. The purpose of this review article is to (1) explore and present a summary of cognitive hearing science techniques for dual-task and hearing-in-noise procedures and implications to speech-language pathology, and (2) provide a clinical guide for speech-language pathology in adult multitasking intervention with noise. It is well understood that areas of cognitive skill and hearing function decline with age; therefore, additional understanding of the relationship of these functions is of particular importance to speech-language pathologists working with older individuals. This article meets the American Speech-Language-Hearing Association's (ASHA's) Special Interest Group (SIG) 15's mission of “research-to-practice” professional development by “promoting understanding of the effects of normal and pathological aging on cognition, language […] and hearing” (ASHA, 2017), and is intended to be of interest to the SIG 15 readership.

scholarly journals Predicting youth diabetes risk using NHANES data and machine learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nita Vangeepuram ◽  
Bian Liu ◽  
Po-hsiang Chiu ◽  
Linhua Wang ◽  
Gaurav Pandey
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Clinical Guideline ◽  
Diabetes Risk ◽  
Screening Tools ◽  
Clinical Screening ◽  
Predictive Values ◽  
Screening Guideline ◽  
Demographic Subgroups ◽  
Sensitivity Specificity

AbstractPrediabetes and diabetes mellitus (preDM/DM) have become alarmingly prevalent among youth in recent years. However, simple questionnaire-based screening tools to reliably assess diabetes risk are only available for adults, not youth. As a first step in developing such a tool, we used a large-scale dataset from the National Health and Nutritional Examination Survey (NHANES) to examine the performance of a published pediatric clinical screening guideline in identifying youth with preDM/DM based on American Diabetes Association diagnostic biomarkers. We assessed the agreement between the clinical guideline and biomarker criteria using established evaluation measures (sensitivity, specificity, positive/negative predictive value, F-measure for the positive/negative preDM/DM classes, and Kappa). We also compared the performance of the guideline to those of machine learning (ML) based preDM/DM classifiers derived from the NHANES dataset. Approximately 29% of the 2858 youth in our study population had preDM/DM based on biomarker criteria. The clinical guideline had a sensitivity of 43.1% and specificity of 67.6%, positive/negative predictive values of 35.2%/74.5%, positive/negative F-measures of 38.8%/70.9%, and Kappa of 0.1 (95%CI: 0.06–0.14). The performance of the guideline varied across demographic subgroups. Some ML-based classifiers performed comparably to or better than the screening guideline, especially in identifying preDM/DM youth (p = 5.23 × 10−5).We demonstrated that a recommended pediatric clinical screening guideline did not perform well in identifying preDM/DM status among youth. Additional work is needed to develop a simple yet accurate screener for youth diabetes risk, potentially by using advanced ML methods and a wider range of clinical and behavioral health data.

scholarly journals BTS Guidelines for the Management of Chronic Obstructive Pulmonary Disease

Thorax ◽  
1997 ◽  
Vol 52 (suppl 5) ◽  
pp. 1
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Disease ◽  
Clinical Guideline ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Link Type ◽  
British Guideline

These guidelines have been replaced by British Guideline on the Management of Asthma. A national clinical guideline.Superseded By 2012 Revision Of 2008 Guideline: British Guideline on the Management of Asthma. Thorax 2008 May; 63(Suppl 4): 1–121.

Improving risk assessment and prevention of pressure injuries during the implementation of a best practice clinical guideline

2021 ◽  
Author(s):  
Benjamí Monsonís-Filella ◽  
Montserrat Gea-Sánchez ◽  
Ester García-Martínez ◽  
Mercè Folguera-Arnau ◽  
Josep Maria Gutiérrez Vilaplana ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Best Practice ◽  
Clinical Guideline ◽  
Risk Assessment And Prevention

scholarly journals Development of clinical guidelines for service provision of functional electrical stimulation to support walking: mixed method exploration of stakeholder views

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
C Bulley ◽  
C Meagher ◽  
T Street ◽  
A Adonis ◽  
C Peace ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Clinical Guidelines ◽  
Service Provision ◽  
Clinical Guideline ◽  
Service Providers ◽  
Delphi Consensus ◽  
Stakeholder Views ◽  
Key Stakeholders ◽  
The Uk

Abstract Background Over the past 20 years Functional Electrical Stimulation (FES) has grown in clinical use to support walking in people with lower limb weakness or paralysis due to upper motor neuron lesions. Despite growing consensus regarding its benefits, provision across the UK and internationally is variable. This study aimed to explore stakeholder views relating to the value of a clinical guideline focusing on service provision of FES to support walking, how people might use it and what should be included. Methods A mixed methods exploration sought the views of key stakeholders. A pragmatic online survey (n = 223) focusing on the study aim was developed and distributed to the email distribution list of the UK Association for Chartered Physiotherapists Interested in Neurology (ACPIN). In parallel, a qualitative service evaluation and patient public involvement consultation was conducted. Two group, and seven individual interviews were conducted with: FES-users (n = 6), their family and carers (n = 3), physiotherapists (n = 4), service providers/developers (n = 2), researchers (n = 1) and distributors of FES (n = 1). Descriptive analysis of quantitative data and framework analysis of qualitative data were conducted. Results Support for clinical guideline development was clear in the qualitative interviews and the survey results. Survey respondents most strongly endorsed possible uses of the clinical guideline as ensuring best practice and supporting people seeking access to a FES service. Data analysis and synthesis provided clear areas for inclusion in the clinical guidelines, including current research evidence and consensus relating to who is most likely to benefit and optimal service provision as well as pathways to access this. Specific areas for further investigation were summarised for inclusion in the first stage of a Delphi consensus study. Conclusions Key stakeholders believe in the value of a clinical guideline that focuses on the different stages of service provision for FES to support walking. A Delphi consensus study is being planned based on the findings.

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