Dataset Information

A 4-Item Case-Finding Tool to Detect Dementia in Older Persons.

ABSTRACT: Objectives:Brief cognitive tests are recommended in clinical services outside of specialized memory clinics as case-finding tools to reduce the diagnostic gap of dementia. Although the Montreal Cognitive Assessment (MoCA) is among the most widely used brief tests in specialized memory clinics, its length precludes routine use in nonspecialty clinics. This study investigated whether a small subset of MoCA would suffice to match the performance of the full MoCA in detecting dementia and, hence, be useful in nonspecialty clinics.

Design:Cross-sectional test research.

Setting:Alzheimer's Disease Centers across the United States.

Participants:Participants age ?65 years (n = 8773).

Measures:Participants completed MoCA and were evaluated for dementia. The study sample was split into 2: the derivation sample (n = 4386) was used to develop a short variant of MoCA that best distinguish dementia (using the best-subset-approach with 10-fold cross-validation), while the validation sample (n = 4387) verified its actual performance using area under the receiver operating characteristic-curve (AUC).

Results:A 4-item cognitive test was identified, comprising Clock-drawing, Tap-at-letter-A, Orientation, and Delayed-recall. It demonstrated excellent performance in distinguishing dementia from nondementia (AUC 94.2%) and was comparable to that of MoCA (AUC 93.8%), even across education subgroups. It explained 85.9% of the variability in MoCA and had scores that could be mapped to MoCA with reasonable precision. At the optimal cut-off score of <10, it demonstrated 87.9% sensitivity and 87.6% specificity in detecting dementia.

Conclusions and implications:Using rigorous methods, this study developed a brief cognitive test that is free of charge, takes <5 minutes to complete, covers the key cognitive domains, and has standardized instructions to allow its administration even by nonphysicians. This brief test is well suited as a case-finding tool in nonspecialty clinics (such as in primary care and geriatric clinics) and may improve care-integration with specialized memory clinics that utilize MoCA.

SUBMITTER: Liew TM

PROVIDER: S-EPMC6884672 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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A 4-Item Case-Finding Tool to Detect Dementia in Older Persons.

Liew Tau Ming TM

Journal of the American Medical Directors Association 20190807 12

<h4>Objectives</h4>Brief cognitive tests are recommended in clinical services outside of specialized memory clinics as case-finding tools to reduce the diagnostic gap of dementia. Although the Montreal Cognitive Assessment (MoCA) is among the most widely used brief tests in specialized memory clinics, its length precludes routine use in nonspecialty clinics. This study investigated whether a small subset of MoCA would suffice to match the performance of the full MoCA in detecting dementia and, h ...[more]

PMID: 31399363

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Project description:Purpose of studyIdentifying emergency department (ED) patients who are at high risk for return visits is an important goal for case management to improve patient care. This quality improvement study describes the development and evaluation of the Emergency Department Case Management Priority Score (EDCMPS), an electronic medical record (EMR)-based "case-finding" system, and its ability to identify these high-risk patients. In addition, the authors present data about its acceptability among emergency department case managers (ED CMs).Primary practice settingsEmergency departments with case management availability and staffing.Methodology and sampleA retrospective analysis at Duke University Hospital ED compared patient data pre- and postimplementation of the EDCMPS. The tool was developed using the LEAN and Plan-Do-Study-Act (PDSA) quality improvement methodologies, with ED CM participation. ED return and hospitalization rates within 7 and 30 days between both methods were compared, and a survey evaluated CM satisfaction with the EDCMPS.ResultsThe 2-month preintervention period (July 1, 2022, to August 31, 2022) included 8,677 patients discharged from the ED, with 897 patients (10.3%) identified as at high risk for return based on the previous manual methodology. In the 3-month postintervention period (September 1, 2022, to November 30, 2022), there were 13,566 patients discharged, with 692 patients (5.1%) identified as at high risk for return using the EDCMPS. The EDCMPS outperformed the manual method, yielding a significantly higher odds ratio (OR) for 7- and 30-day ED return or hospitalization (e.g., 30-day any return OR = 4.21 vs. 1.69). The survey showed broad ED CM agreement on the tool's superior performance, especially in organizing outpatient resources and referring to support programs. However, challenges in securing primary care follow-up, housing, and health insurance applications were identified. The tool's collaborative development approach ensured its fit to ED CM needs, contributing to its success.Implications for case management practiceThe EDCMPS showcases promise in enhancing ED CM efficiency, with strong frontline staff endorsement. It pinpoints areas needing focus for patient support and has the potential to reduce ED revisits and therefore health care utilization. Its methodology offers insights for similar future implementations in health care institutions.

Project description:Currently less than half of the estimated number of people with dementia in England receive a formal diagnosis of dementia or have contact with specialist dementia services. Case finding focused on high risk groups may be an effective way to identify the undiagnosed. This joint Surrey Downs Clinical Commissioning Group and Surrey and Borders NHS Foundation Trust quality improvement project aimed to increase the rate of dementia diagnosis across Surrey Downs using specialist link nurses (SLNs). Thirty three GP surgeries covering the entire Surrey Downs area took part in the project. Individuals at high risk of developing dementia were identified from GP electronic disease registers, and were offered screening at their GP practices by SLNs, using a combination of mini cognitive test (Mini-Cog) and functional assessment questionnaire (FAQ). Suitable individuals who screened positive were seen by their GP and where appropriate referred to secondary care services for further evaluation. Based on the presence of risk factors, 6657 (11.9%) people were identified from a total population of 55 845 over 65s, and 1980 (29.7%) completed the screening assessment. Three hundred and fifty eight (18.1%) individuals screened positive and were referred to their GP, who referred 205 (57.2%) of them to the memory services for further assessment. Of those referred, 164 (80%) had a comprehensive specialist assessment. Forty one (20%) declined further assessment, and their GPs were informed. The mean age of the cohort who completed the comprehensive assessment was 82.3 years (SD=4.26), and were predominantly white and male. Fifty four (32.9%) had mild cognitive disorder (MCD), and 101 (61.6%) patients were diagnosed with dementia. The most common dementia was mixed type (43; 42.6%), followed by Alzheimer's dementia (32; 31.7%). The most common risk factor among patients with cognitive impairment (MCD or dementia) was hypertension (69; 44.5 %), followed by ischemic heart disease (64, 41.3%). Nurse led case finding for cognitive impairment in a high risk population identifies people with dementia who are not yet formally diagnosed. The combined use of brief instruments to assess cognitive functioning and functional capabilities is helpful in identifying individuals with possible dementia.

Project description:ObjectivesEarly recognition of dementia would allow patients and their families to receive care earlier in the disease process, potentially improving care management and patient outcomes, yet nearly half of patients with dementia are undiagnosed. Our aim was to develop and validate an electronic health record (EHR)-based tool to help detect patients with unrecognized dementia (EHR Risk of Alzheimer's and Dementia Assessment Rule [eRADAR]).DesignRetrospective cohort study.SettingKaiser Permanente Washington (KPWA), an integrated healthcare delivery system.ParticipantsA total of 16 665 visits among 4330 participants in the Adult Changes in Thought (ACT) study, who undergo a comprehensive process to detect and diagnose dementia every 2?years and have linked KPWA EHR data, divided into development (70%) and validation (30%) samples.MeasurementsEHR predictors included demographics, medical diagnoses, vital signs, healthcare utilization, and medications within the previous 2?years. Unrecognized dementia was defined as detection in ACT before documentation in the KPWA EHR (ie, lack of dementia or memory loss diagnosis codes or dementia medication fills).ResultsOverall, 1015 ACT visits resulted in a diagnosis of incident dementia, of which 498 (49%) were unrecognized in the KPWA EHR. The final 31-predictor model included markers of dementia-related symptoms (eg, psychosis diagnoses, antidepressant fills), healthcare utilization pattern (eg, emergency department visits), and dementia risk factors (eg, cerebrovascular disease, diabetes). Discrimination was good in the development (C statistic = .78; 95% confidence interval [CI] = .76-.81) and validation (C statistic = .81; 95% CI = .78-.84) samples, and calibration was good based on plots of predicted vs observed risk. If patients with scores in the top 5% were flagged for additional evaluation, we estimate that 1 in 6 would have dementia.ConclusionThe eRADAR tool uses existing EHR data to detect patients with good accuracy who may have unrecognized dementia. J Am Geriatr Soc 68:103-111, 2019.

Project description:IMPORTANCE:Neuropsychiatric behaviors of persons with dementia, including agitation, aggression, and rejection of care, are almost universal; occur throughout the disease process; and have negative consequences for both persons with dementia and their caregivers. Nonpharmacological approaches are now recognized as first-line treatment to address these behaviors. One promising approach is activity tailored to the person's interests, abilities, and physical and social environment. An evidence-based program, New Ways for Better Days: Tailoring Activities for Persons With Dementia and Their Caregivers (TAP), draws on occupational therapy principles (person-environment-occupation fit, activity analysis) to meaningfully engage persons with dementia. OBJECTIVE:This case report describes the TAP protocol and clinical reasoning processes underlying use of tailored activities as a therapeutic modality to address dementia-related neuropsychiatric behaviors. DESIGN:This is a case study of an African-American woman in her 60s caring for her father, age 92, who has severe dementia and multiple behaviors. OUTCOMES AND MEASURES:Primary outcomes in this case report include the person with dementia's engagement in an activity and the reported neuropsychiatric behaviors. In addition, the caregiver's confidence in using activities is reported. These and other measures from the TAP protocol are described in full. RESULTS:After working with an occupational therapist for eight sessions, the person with dementia's engagement in activity increased by 50% and his frequency of vocal disturbance decreased, and the caregiver felt more confident in using activities with her father. CONCLUSION AND RELEVANCE:This case report illustrates how occupational therapists working with families of persons with dementia can use the TAP protocol to help them manage neuropsychiatric behaviors by tailoring activities. WHAT THIS ARTICLE ADDS:Occupational therapists are uniquely qualified to systematically assess the cognitive functioning of persons with dementia, caregivers, and home environments and to integrate this information to derive and implement activities tailored to the person's capacities and context, thereby reducing neuropsychiatric behaviors and increasing engagement in meaningful activity.

Dataset Information

A 4-Item Case-Finding Tool to Detect Dementia in Older Persons.

Publications

A 4-Item Case-Finding Tool to Detect Dementia in Older Persons.

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