Neurocognitive Disorders

Lally, Martha; Valentine-French, Suzanne

doi:10.1176/appi.books.9780890425596.222827

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dementia refers to a neurocognitive disorder characterized by a disturbance of multiple higher cortical functions (e.g., memory, thinking, orientation, comprehension, calculation, learning capacity, language, and judgment; American Psychiatric Association, 2013). Cognitive deficits are often accompanied by deterioration in emotional control, social behavior, or motivation (World Health Organization [WHO], 2010).…”

Section: Introductionmentioning

confidence: 99%

“…A formal neuropsychological assessment can provide valuable additional information (APA, 2013). The clinical features of dementia vary but can include difficulty with (a) learning and memory, (b) handling complex tasks, (c) reasoning, (d) spatial ability and orientation, and (e) language (APA, 2013). Up to 90% of people with dementia will experience behavioral and psychological symptoms ranging from agitation and pacing to wandering and getting lost (Burns & Iliffe, 2009).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Barriers to Qualitative Dementia Research

2014

View full text Add to dashboard Cite

As our population is aging, the global prevalence of dementia is rising. Recent extensive reviews of the dementia literature highlight a clear need for additional qualitative research to address the experiences of people with dementia and their carers. To date, the vast majority of published dementia research is quantitative in nature and, perhaps not surprisingly, attracts the bulk of government funding. In contrast, qualitative dementia research is poorly resourced and less frequently published. Although a myriad of factors are responsible for this dichotomy, we propose that inadequate funding represents the "elephant in the room" of dementia research. In this article, we describe and emphasize the need for qualitative dementia research, highlight existing barriers, and outline potential solutions. Examples of barriers are provided and theoretical underpinnings are proposed.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Barriers to Qualitative Dementia Research

2014

View full text Add to dashboard Cite

show abstract

Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study (Preprint)

Ser,

Shear,

Snigurska

et al. 2023

Preprint

View full text Add to dashboard Cite

BACKGROUND Hospital-induced delirium is one of the most common and costly iatrogenic conditions, and its incidence is predicted to increase as the population of the United States ages. An academic and clinical interdisciplinary systems approach is needed to reduce the frequency and impact of hospital-induced delirium. OBJECTIVE The long-term goal of our research is to enhance the safety of hospitalized older adults by reducing iatrogenic conditions through an effective learning health system. In this study, we will develop models for predicting hospital-induced delirium. In order to accomplish this objective, we will create a computable phenotype for our outcome (hospital-induced delirium), design an expert-based traditional logistic regression model, leverage machine learning techniques to generate a model using structured data, and use machine learning and natural language processing to produce an integrated model with components from both structured data and text data. METHODS This study will explore text-based data, such as nursing notes, to improve the predictive capability of prognostic models for hospital-induced delirium. By using supervised and unsupervised text mining in addition to structured data, we will examine multiple types of information in electronic health record data to predict medical-surgical patient risk of developing delirium. Development and validation will be compliant to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement. RESULTS Work on this project will take place through March 2024. For this study, we will use data from approximately 332,230 encounters that occurred between January 2012 to May 2021. Findings from this project will be disseminated at scientific conferences and in peer-reviewed journals. CONCLUSIONS Success in this study will yield a durable, high-performing research-data infrastructure that will process, extract, and analyze clinical text data in near real time. This model has the potential to be integrated into the electronic health record and provide point-of-care decision support to prevent harm and improve quality of care. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/48521

show abstract

Neurocognitive Disorders

Cited by 2 publications

References 0 publications

Barriers to Qualitative Dementia Research

Barriers to Qualitative Dementia Research

Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study (Preprint)

Contact Info

Product

Resources

About