Challenges in detecting and managing mild cognitive impairment in primary care: a focus group study in Shanghai, China

Lü, Yuan; Liu, George; Wells, Yvonne; Yu, Dehua

doi:10.1136/bmjopen-2022-062240

Cited by 6 publications

(6 citation statements)

References 46 publications

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“…We found that 87.5% of participants had poor knowledge, and with the rise in the prevalence of dementia and Alzheimer's disease among the continuously aging population, a focus is being placed on early detection and treatment. Difficulties diagnosing and managing mild cognitive impairment, which is usually the first presentation of dementia, are attributed to a triad of hesitant patients, unprepared healthcare providers, and environments of misconceptions and false beliefs [ 16 ]. However, Alzheimer's remains less known in the community than other chronic diseases among the elderly.…”

Section: Discussionmentioning

confidence: 99%

Public Awareness, Knowledge, and Attitude Toward Alzheimer’s Disease in Makkah, Saudi Arabia

Muglan,

Alkhaldi,

Alsharif

et al. 2023

Cureus

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Background: Alzheimer's disease is a neurodegenerative disease that slowly deteriorates cognitive function over time. This condition disables the geriatric population worldwide. Knowing its symptoms and presentation could help the general population seek medical attention early. Objective: This study aims to assess the level of awareness, knowledge, and attitude towards Alzheimer’s disease among the general population in Makkah City. Methods: This cross-sectional study employed an online questionnaire distributed randomly in Makkah, Saudi Arabia. A sociodemographic and attitude panel is included under each section of the questionnaire, as well as a knowledge panel based on the Alzheimer's Disease Knowledge Scale (ADKS). The knowledge and awareness level regarding Alzheimer’s disease was determined by adding up discrete scores for each correct knowledge item. A participant's awareness level was categorized as poor if their score was less than 60%. Participants whose scores were 60% or higher were considered to have a high level of awareness Results: A total of 545 participants were investigated; 316 (58%) were females. A range of ages was represented among the participants, from 18 to over 60. Of the study respondents, 68 (12.5%) had an overall good awareness and knowledge of Alzheimer’s disease and its management while 477 (87.5%) had a poor knowledge level. Among divorced/widowed participants, 16.2% had an overall good knowledge level of the disease compared to 8.3% of married respondents with recorded statistical significance (P=.049). Also, 20.4% of those with relatives diagnosed with Alzheimer's disease had good knowledge of the disease versus 10.7% of others without (P=.009). Conclusion: According to the results, there is a lack of awareness and knowledge of Alzheimer’s disease. This study suggests increasing public awareness and knowledge of Alzheimer’s disease through campaigns and public education so that the disease is detected earlier.

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Section: Discussionmentioning

confidence: 99%

Public Awareness, Knowledge, and Attitude Toward Alzheimer’s Disease in Makkah, Saudi Arabia

Muglan,

Alkhaldi,

Alsharif

et al. 2023

Cureus

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“…Our study has some implications for the formulation of primary healthcare policy. Current primary health care still faces serious challenges in detection and management of cognitive impairment (Lu et al, 2022). The cognitive impairment of nursing home residents over 80 is a problem that cannot be ignored.…”

Section: Discussionmentioning

confidence: 99%

“…That requires healthcare providers to pay more attention to the health of nursing home residents, especially cardiopulmonary function and HRQOL. Thus, there is an urgent need to provide a range of support to facilitate healthcare providers to offer accessible, affordable and appropriate cognitive impairment-related primary healthcare services for nursing home residents, such as clinical practice guidelines, policy and financial support, and information infrastructures (Lu et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

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Association between cardiopulmonary function, health-related quality of life and cognitive impairment among the older nursing home residents in Shanghai, China

Zhou

Ren

Zhang

et al. 2023

Prim Health Care Res Dev

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Background: This study aimed to examine the association between cardiopulmonary function, health-related quality of life (HRQOL) and cognitive function among nursing home residents aged 80 years and over. Methods: A nursing home-based, cross-sectional study was implemented among 677 aged over 80 years in Shanghai, China. A total of 197 participants underwent effective cardiopulmonary function examinations. Mini-Mental Status Examination (MMSE) and Short Form-36 scales (SF-36) were used to assess cognitive function and HRQOL, respectively. Results: Decline in left ventricular ejection fractions (LVEF) [adjusted odds ratio (AOR), 1.98; 95% confidential interval (CI), 1.03–3.81)] and vital capacity (VC) (AOR, 2.08; 95%CI, 1.07–4.04) was associated with cognitive impairment. After adjusting confounding factors, relationships between cognitive function and physical functioning (PF) (AOR, 0.98; 95%CI, 0.97–0.99) still existed. Conclusions: Healthcare professionals should pay more attention to cardiopulmonary health and HRQOL in the nursing home residents. Actions of public health strategies focus on the improvement of cardiopulmonary function, and PF among older nursing home residents with cognitive impairment is required.

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“…Although cognition is multifaceted and MCI can affect many different cognitive domains [24], assessing cognitive function in all domains with a short test is not feasible; thus, instruments must strike a proper balance between the duration and depth of testing to maximize their utility [9]. A consensus of clinical and research experts focused on MCI and AD indicated that a useful cognitive tool should encompass multiple cognitive domains and, at a minimum, assess memory and executive function [9].…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study

Gu,

Lv,

Shi

et al. 2023

J Med Internet Res

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Background Dementia has become a major public health concern due to its heavy disease burden. Mild cognitive impairment (MCI) is a transitional stage between healthy aging and dementia. Early identification of MCI is an essential step in dementia prevention. Objective Based on machine learning (ML) methods, this study aimed to develop and validate a stable and scalable panel of cognitive tests for the early detection of MCI and dementia based on the Chinese Neuropsychological Consensus Battery (CNCB) in the Chinese Neuropsychological Normative Project (CN-NORM) cohort. Methods CN-NORM was a nationwide, multicenter study conducted in China with 871 participants, including an MCI group (n=327, 37.5%), a dementia group (n=186, 21.4%), and a cognitively normal (CN) group (n=358, 41.1%). We used the following 4 algorithms to select candidate variables: the F-score according to the SelectKBest method, the area under the curve (AUC) from logistic regression (LR), P values from the logit method, and backward stepwise elimination. Different models were constructed after considering the administration duration and complexity of combinations of various tests. Receiver operating characteristic curve and AUC metrics were used to evaluate the discriminative ability of the models via stratified sampling cross-validation and LR and support vector classification (SVC) algorithms. This model was further validated in the Alzheimer’s Disease Neuroimaging Initiative phase 3 (ADNI-3) cohort (N=743), which included 416 (56%) CN subjects, 237 (31.9%) patients with MCI, and 90 (12.1%) patients with dementia. Results Except for social cognition, all other domains in the CNCB differed between the MCI and CN groups (P<.008). In feature selection results regarding discrimination between the MCI and CN groups, the Hopkins Verbal Learning Test-5 minutes Recall had the best performance, with the highest mean AUC of up to 0.80 (SD 0.02) and an F-score of up to 258.70. The scalability of model 5 (Hopkins Verbal Learning Test-5 minutes Recall and Trail Making Test-B) was the lowest. Model 5 achieved a higher level of discrimination than the Hong Kong Brief Cognitive test score in distinguishing between the MCI and CN groups (P<.05). Model 5 also provided the highest sensitivity of up to 0.82 (range 0.72-0.92) and 0.83 (range 0.75-0.91) according to LR and SVC, respectively. This model yielded a similar robust discriminative performance in the ADNI-3 cohort regarding differentiation between the MCI and CN groups, with a mean AUC of up to 0.81 (SD 0) according to both LR and SVC algorithms. Conclusions We developed a stable and scalable composite neurocognitive test based on ML that could differentiate not only between patients with MCI and controls but also between patients with different stages of cognitive impairment. This composite neurocognitive test is a feasible and practical digital biomarker that can potentially be used in large-scale cognitive screening and intervention studies.

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Challenges in detecting and managing mild cognitive impairment in primary care: a focus group study in Shanghai, China

Cited by 6 publications

References 46 publications

Public Awareness, Knowledge, and Attitude Toward Alzheimer’s Disease in Makkah, Saudi Arabia

Public Awareness, Knowledge, and Attitude Toward Alzheimer’s Disease in Makkah, Saudi Arabia

Association between cardiopulmonary function, health-related quality of life and cognitive impairment among the older nursing home residents in Shanghai, China

A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study

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