P4‐395: Five‐country survey of public experiences, attitudes and beliefs concerning Alzheimer's disease and the value of a diagnosis

Blendon, Robert J.; Benson, John M.; Wikler, Elizabeth; Weldon, Kathleen J.; Baumgart, Matthew; Jansen, Sabine; Kallmyer, Beth; Hume, Stephen; Micas, M.; Religa, Dorota; Georges, Jean

doi:10.1016/j.jalz.2011.09.209

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cancer analogy is significant in another sense. A survey of five countries: France, Germany, Spain, Portugal, and the United States, found that in four of those five countries, AD was the second biggest health fear after cancer; and approximately a quarter of adults in four of the five countries said they most feared getting AD [143].…”

Section: Discussionmentioning

confidence: 99%

Mild Cognitive Impairment in Relation to Alzheimer’s Disease: An Investigation of Principles, Classifications, Ethics, and Problems

Lee

2023

Neuroethics

View full text Add to dashboard Cite

Mild Cognitive Impairment (MCI) is a diagnostic category indicating cognitive impairment which does not meet diagnostic criteria for dementia such as Alzheimer’s disease. There are public health concerns about Alzheimer’s disease (AD) prompting intervention strategies to respond to predictions about the impacts of ageing populations and cognitive decline. This relationship between MCI and AD rests on three interrelated principles, namely, that a relationship exists between AD and MCI, that MCI progresses to AD, and that there is a reliable system of classification of MCI. However, there are also several ethical issues and problems arising in the AD/MCI relationship. These include early diagnosis and interventions, the effects on people with MCI, and the newer neuroimaging and neuropharmacological approaches used in diagnosis and treatment. All these issues pose questions about the principles of MCI in relation to AD, with implications for how MCI is understood, diagnosed, treated, and experienced by patients. This article analyses four challenging areas for neuroethics: the definition and diagnosis of MCI; MCI in relation to AD; clinical implications of MCI for ethical disclosure, diagnosis, and treatment; and the research implications of MCI. The significant connections between these areas are often overlooked, together with uncertainties overall. Patients, healthcare systems and society are best served by informed clinicians, academics and researchers. After 35 years, the store of MCI knowledge is expanding and evolving.

show abstract

Section: Discussionmentioning

confidence: 99%

Mild Cognitive Impairment in Relation to Alzheimer’s Disease: An Investigation of Principles, Classifications, Ethics, and Problems

Lee

2023

Neuroethics

View full text Add to dashboard Cite

show abstract

“…Delayed diagnosis of this condition also contributes substantively to the cost of care of this disease on account of a high utilization of emergency rather than routine care, amongst other factors-it is estimated that early and accurate diagnosis can help save an estimated $7.9 trillion in medical and care costs (Association, 2018). Furthermore, survey findings show the vast majority (∼80%) would prefer to know if their unexplained symptoms of confusion or memory loss were due to AD dementia in a formal clinical evaluation (Blendon et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

Guo

Roan

et al. 2021

Front. Comput. Sci.

View full text Add to dashboard Cite

Large amounts of labeled data are a prerequisite to training accurate and reliable machine learning models. However, in the medical domain in particular, this is also a stumbling block as accurately labeled data are hard to obtain. DementiaBank, a publicly available corpus of spontaneous speech samples from a picture description task widely used to study Alzheimer's disease (AD) patients' language characteristics and for training classification models to distinguish patients with AD from healthy controls, is relatively small—a limitation that is further exacerbated when restricting to the balanced subset used in the Alzheimer's Dementia Recognition through Spontaneous Speech (ADReSS) challenge. We build on previous work showing that the performance of traditional machine learning models on DementiaBank can be improved by the addition of normative data from other sources, evaluating the utility of such extrinsic data to further improve the performance of state-of-the-art deep learning based methods on the ADReSS challenge dementia detection task. To this end, we developed a new corpus of professionally transcribed recordings from the Wisconsin Longitudinal Study (WLS), resulting in 1366 additional Cookie Theft Task transcripts, increasing the available training data by an order of magnitude. Using these data in conjunction with DementiaBank is challenging because the WLS metadata corresponding to these transcripts do not contain dementia diagnoses. However, cognitive status of WLS participants can be inferred from results of several cognitive tests including semantic verbal fluency available in WLS data. In this work, we evaluate the utility of using the WLS ‘controls’ (participants without indications of abnormal cognitive status), and these data in conjunction with inferred ‘cases’ (participants with such indications) for training deep learning models to discriminate between language produced by patients with dementia and healthy controls. We find that incorporating WLS data during training a BERT model on ADReSS data improves its performance on the ADReSS dementia detection task, supporting the hypothesis that incorporating WLS data adds value in this context. We also demonstrate that weighted cost functions and additional prediction targets may be effective ways to address issues arising from class imbalance and confounding effects due to data provenance.

show abstract

“…Dementia worry represents an important yet underexplored health concern for geriatric populations, including Chinese older adults (Kessler, Bowen, Baer, Froelich, and Wahl, 2012;Sun, Gao and Coon, 2013). Previous research has indicated dementia as the leading cause of fear second to cancer in the adult population (Blendon et al, 2011). Studies focusing on Chinese populations found that more than half of older adults are "very concerned" about their declined memory as an early sign of dementia (Laditka et al, 2011;Liang and An, 2018).…”

Section: Introductionmentioning

confidence: 99%

The effectiveness of modified, group-based CBT for dementia worry among Chinese elders

Wang

Sun

et al. 2020

Journal of Affective Disorders

View full text Add to dashboard Cite

Dementias are highly prevalent among Chinese elders. This study examined the effectiveness of a modified group cognitive behavioral therapy (CBT) on dementia worry among Chinese older adults. Methods: Eighty-two older adults recruited from four elder group homes were randomly assigned to either intervention or control group. The intervention group (n= 44) received eight weekly 60-minute face-to-face CBT, while the control group (n=38) received treatment-as-usual.Results: Outcomes indicated that the modified group CBT has significantly reduced dementia worry and culturally biased beliefs about dementia (p<.001). Study findings supported both statistically and clinically significant effect of modified group CBT on dementia worry [g=-1.52, 95% CI (-2.01, -1.03)] and biased beliefs about dementia ]. Discussion: The culturally adapted CBT is promising in alleviating worries and anxiety over dementia among Chinese older adults. Future research needs to include larger samples and participants from different regions to replicate findings.

show abstract

P4‐395: Five‐country survey of public experiences, attitudes and beliefs concerning Alzheimer's disease and the value of a diagnosis

Cited by 3 publications

References 0 publications

Mild Cognitive Impairment in Relation to Alzheimer’s Disease: An Investigation of Principles, Classifications, Ethics, and Problems

Mild Cognitive Impairment in Relation to Alzheimer’s Disease: An Investigation of Principles, Classifications, Ethics, and Problems

Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

The effectiveness of modified, group-based CBT for dementia worry among Chinese elders

Contact Info

Product

Resources

About