Diagnostic accuracy of cognitive screening tools validated for older adults in Iran: a systematic review and meta-analysis.

BACKGROUND: This systematic review aims to comprehensively assess the diagnostic accuracy of cognitive screening tools validated for older adults in Iran, providing evidence-based recommendations for clinicians and researchers. METHODS: A comprehensive search in March 2023 across Web of Science, PubMed, Scopus, ScienceDirect, SID, IranMedex, and IranDoc, enhanced by hand-searching references and Google Scholar, identified cross-sectional studies on cognitive screening in Iranian seniors. We assessed diagnostic accuracy, cognitive domains, and test strengths and weaknesses. A bivariate random-effects meta-analysis provided summary estimates and 95% confidence intervals, illustrated in forest plots. RESULTS: Our review, derived from an initial screening of 38 articles, focused on 17 studies involving 14 cognitive screening tools and participant counts from 60 to 350, mostly from specialized clinics. The MMSE was the only tool examined in at least three studies, prompting a meta-analysis revealing its sensitivity at 0.89 and specificity at 0.77 for dementia detection, albeit amidst significant heterogeneity (I^2 > 80%). ACE-III demonstrated the highest diagnostic accuracy for MCI and dementia, while MoCA's performance was deemed adequate for MCI and excellent for dementia. High bias risk in studies limits interpretation. CONCLUSION: This review identifies key cognitive tools for dementia and MCI in Iranian older adults, tailored to educational levels for use in primary and specialized care. It emphasizes the need for further validation to enhance diagnostic precision across diverse settings, within a concise framework prioritizing brevity and accuracy for clinical applicability.

Evidence of validity and reliability of the Colombian version of Addenbroke's Cognitive Examination Revised (ACE-R).

OBJECTIVE: The purpose of this study is to provide evidence that supports the validity and reliability of the Colombian version of the Addenbrooke's Cognitive Examination Revised (ACE-R) in comparison to the MMSE at assessing and finding patients with Mild Cognitive Impairment (MCI). Additionally, the study aims to determine the optimal cut-off scores based on the age of a population with a low education level. METHOD: This study included 314 individuals (235 participants diagnosed with MCI and 79 cognitively healthy) who live in two different rural departments (states) in Colombia. The participants were recruited for this study through community clubs for the older adults. Most of the individuals were female (236), the average age was 65.95 years of age (SD= 7.8), and the average education level was of 3.78 years (SD = 1.79). It is important to note that the sample only included people with a maximum of 6 years of schooling. RESULTS: A ROC analysis indicated that the ACE-R is more effective than the MMSE at evaluating and finding MCI individuals within the three groups. The cut-off points for the Under 60 years of age group was 83.50 (sensitivity 0.880% and specificity 0.632%); 61-69 years of age 80.50 (sensitivity 0.714% and specificity 0.677%); and Over 70 years of age was 79.50 (sensitivity 0.750% and specificity 0.659%). The internal consistency analysis with MacDonald's Ω determined reliability indicators ≥70 in the ACE-R, except for the age range of 61 to 69 years. CONCLUSION: The Colombian version of the ACE-R demonstrates to be a valid and reliable global cognitive screening tool. It is effective at discerning MCI individuals from healthy within a group of participants with a low education level.

Psychometric reliability, validity, and generalizability of 3MSE scores among American Indian adults: the Strong Heart Study.

OBJECTIVE: Modified Mini-Mental State Examination (3MSE) is often used to screen for dementia, but little is known about psychometric validity in American Indians. METHODS: We recruited 818 American Indians aged 65-95 for 3MSE examinations in 2010-2013; 403 returned for a repeat examination in 2017-2019. Analyses included standard psychometrics inferences for interpretation, generalizability, and extrapolation: factor analysis; internal consistency-reliability; test-retest score stability; multiple indicator multiple cause structural equation models. RESULTS: This cohort was mean age 73, majority female, mean 12 years education, and majority bilingual. The 4-factor and 2nd-order models fit best, with subfactors for orientation and visuo-construction (OVC), language and executive functioning (LEF), psychomotor and working memory (PMWM), verbal and episodic memory (VEM). Factor structure was supported for both research and clinical interpretation, and factor loadings were moderate to high. Scores were generally consistent over mean 7 years. Younger participants performed better in overall scores, but not in individual factors. Males performed better on OVC and LEF, females better on PMWM. Those with more education performed better on LEF and worse on OVC; the converse was true for bilinguals. All differences were significant, but small. CONCLUSION: These findings support use of 3MSE for individual interpretation in clinic and research among American Indians, with moderate consistency, stability, reliability over time. Observed extrapolations across age, sex, education, and bilingual groups suggest some important contextual differences may exist.

Quality of Life of Elderly People Living in Different Types of Long-term Care Facilities

Abstract Population aging is a worldwide occurrence that has become urgent in developing countries. Quality of life can be measured to identify functional capacity and determine the degree of impact on quality of life exerted on an individual. This study aimed to measure the quality of life of elderly people who have been living in different long-term care facilities for the elderly. Therefore, this research was developed with a qualitative and descriptive approach. Data were obtained from medical records and interviews, and were analyzed in R language interpreter software on the Ubuntu Linux operating system. Seventy-nine elderly people participated in the study. Eleven lived in Home Marista, and 68 lived in Home Jesus Maria José. A socioeconomic questionnaire was used to collect data on the socioeconomic characteristics of the participants. The Mini-Mental State Exam was used to measure degree of cognition. The Short Form-36 Questionnaire was used to measure quality of life. The present study suggests that the results found can clarify the individual vulnerability of the elderly in the age group studied regardless of the type of residence. Despite the discrepancy found regarding the care provided at the long-term care facilities, the scores, obtained with the quality of life assessment, did not show significant differences.

Clinical Outcome Measure Crosswalks in Alzheimer's Disease: A Systematic Review.

BACKGROUND: A key challenge in studies that model outcomes, disease progression, and cost-effectiveness of existing and emerging dementia treatments is the lack of conversion criteria to translate, or 'crosswalk', scores on multiple measurement scales. Clinical status in dementia is commonly characterized in the cognitive, functional, and behavioral domains. OBJECTIVE: We conducted a systematic review of peer-reviewed dementia measure crosswalks in the three domains. METHODS: We systematically reviewed published literature for crosswalks between scales used to measure cognitive, functional, or behavioral outcomes in Alzheimer's and related dementias. The search was conducted in PubMed, and additional crosswalks were identified through snowballing and expert input from dementia modelers. RESULTS: Of the reviewed articles, 2,334 were identified through a PubMed search, 842 articles were sourced from backward and forward citation snowballing, and 8 additional articles were recommended through expert input. 31 papers were eligible for inclusion, listing 74 unique crosswalks. Of those, 62 (83.8%) were between endpoints of the cognitive domain and 12 (16.2%) were either between endpoints of the functional domain or were hybrid in nature. Among crosswalks exclusively in the cognitive domain, a majority involved the Mini-Mental State Examination (MMSE) (37 crosswalks) or the Montreal Cognitive Assessment (MoCA) and its variants (25 crosswalks). MMSE was directly compared to MoCA or MoCA variants in 16 crosswalks. CONCLUSION: Existing crosswalks between measures of dementia focus largely on a limited selection of outcome measures, particularly MMSE and MoCA. Few crosswalks exist in the functional domain, and no crosswalks were identified for solely behavioral measures.

Validation of the Cognitive Telephone Screening Instruments COGTEL and COGTEL+ in Identifying Clinically Diagnosed Neurocognitive Disorder Due to Alzheimer's Disease in a Naturalistic Clinical Setting.

BACKGROUND: Telephone-based neurocognitive instruments embody valuable tools in identifying cognitive impairment in research settings and lately also in clinical contexts due to the pandemic crisis. The accuracy of the Cognitive Telephone Screening Instrument (COGTEL) in detecting mild- (MiND) and major (MaND) neurocognitive disorder has not been studied yet. OBJECTIVE: Comparison of the utility of COGTEL and COGTEL+, which is enriched with orientation items, with the modified Mini-Mental State Examination (3MS) in detecting MiND and MaND due to Alzheimer's disease (AD) and assessment of the impact of COGTEL face-to-face-versus telephone administration on individual performance. METHODS: The study included 197 cognitively intact individuals (CI), being at least 45 years old, 95 and 65 patients with MiND and MaND due to AD, respectively. In 20 individuals COGTEL was administered both in face-to-face and telephone sessions. Statistical analyses included proportional odds logistic regression models, stratified repeated random subsampling used to recursive partitioning to training and validation set (70/30 ratio), and an appropriate F-test. RESULTS: All studied instruments were significant predictors of diagnostic outcome, but COGTEL+ and 3MS explained more variance relative to the original COGTEL. Except for the validation regression models including COGTEL in which the average misclassification error slightly exceeded 15%, in all other cases the average misclassification errors (%) were lower than 15%. COGTEL administration modality was not related to systematic over- or underestimation of performance on COGTEL. CONCLUSION: COGTEL+ is a valuable instrument in detecting MiND and MaND and can be administered in face-to-face or telephone sessions.

Mini-Cog for the detection of dementia within a secondary care setting.

BACKGROUND: The diagnosis of Alzheimer's disease dementia and other dementias relies on clinical assessment. There is a high prevalence of cognitive disorders, including undiagnosed dementia in secondary care settings. Short cognitive tests can be helpful in identifying those who require further specialist diagnostic assessment; however, there is a lack of consensus around the optimal tools to use in clinical practice. The Mini-Cog is a short cognitive test comprising three-item recall and a clock-drawing test that is used in secondary care settings. OBJECTIVES: The primary objective was to determine the accuracy of the Mini-Cog for detecting dementia in a secondary care setting. The secondary objectives were to investigate the heterogeneity of test accuracy in the included studies and potential sources of heterogeneity. These potential sources of heterogeneity will include the baseline prevalence of dementia in study samples, thresholds used to determine positive test results, the type of dementia (Alzheimer's disease dementia or all causes of dementia), and aspects of study design related to study quality. SEARCH METHODS: We searched the following sources in September 2012, with an update to 12 March 2019: Cochrane Dementia Group Register of Diagnostic Test Accuracy Studies, MEDLINE (OvidSP), Embase (OvidSP), BIOSIS Previews (Web of Knowledge), Science Citation Index (ISI Web of Knowledge), PsycINFO (OvidSP), and LILACS (BIREME). We made no exclusions with regard to language of Mini-Cog administration or language of publication, using translation services where necessary. SELECTION CRITERIA: We included cross-sectional studies and excluded case-control designs, due to the risk of bias. We selected those studies that included the Mini-Cog as an index test to diagnose dementia where dementia diagnosis was confirmed with reference standard clinical assessment using standardised dementia diagnostic criteria. We only included studies in secondary care settings (including inpatient and outpatient hospital participants). DATA COLLECTION AND ANALYSIS: We screened all titles and abstracts generated by the electronic database searches. Two review authors independently checked full papers for eligibility and extracted data. We determined quality assessment (risk of bias and applicability) using the QUADAS-2 tool. We extracted data into two-by-two tables to allow calculation of accuracy metrics for individual studies, reporting the sensitivity, specificity, and 95% confidence intervals of these measures, summarising them graphically using forest plots. MAIN RESULTS: Three studies with a total of 2560 participants fulfilled the inclusion criteria, set in neuropsychology outpatient referrals, outpatients attending a general medicine clinic, and referrals to a memory clinic. Only n = 1415 (55.3%) of participants were included in the analysis to inform evaluation of Mini-Cog test accuracy, due to the selective use of available data by study authors. There were concerns related to high risk of bias with respect to patient selection, and unclear risk of bias and high concerns related to index test conduct and applicability. In all studies, the Mini-Cog was retrospectively derived from historic data sets. No studies included acute general hospital inpatients. The prevalence of dementia ranged from 32.2% to 87.3%. The sensitivities of the Mini-Cog in the individual studies were reported as 0.67 (95% confidence interval (CI) 0.63 to 0.71), 0.60 (95% CI 0.48 to 0.72), and 0.87 (95% CI 0.83 to 0.90). The specificity of the Mini-Cog for each individual study was 0.87 (95% CI 0.81 to 0.92), 0.65 (95% CI 0.57 to 0.73), and 1.00 (95% CI 0.94 to 1.00). We did not perform meta-analysis due to concerns related to risk of bias and heterogeneity. AUTHORS' CONCLUSIONS: This review identified only a limited number of diagnostic test accuracy studies using Mini-Cog in secondary care settings. Those identified were at high risk of bias related to patient selection and high concerns related to index test conduct and applicability. The evidence was indirect, as all studies evaluated Mini-Cog differently from the review question, where it was anticipated that studies would conduct Mini-Cog and independently but contemporaneously perform a reference standard assessment to diagnose dementia. The pattern of test accuracy varied across the three studies. Future research should evaluate Mini-Cog as a test in itself, rather than derived from other neuropsychological assessments. There is also a need for evaluation of the feasibility of the Mini-Cog for the detection of dementia to help adequately determine its role in the clinical pathway.

Mini-Cog for the detection of dementia within a primary care setting.

BACKGROUND: Alzheimer's disease and other forms of dementia are becoming increasingly common with the aging of most populations. The majority of individuals with dementia will first present for care and assessment in primary care settings. There is a need for brief dementia screening instruments that can accurately detect dementia in primary care settings. The Mini-Cog is a brief, cognitive screening test that is frequently used to evaluate cognition in older adults in various settings. OBJECTIVES: To determine the accuracy of the Mini-Cog for detecting dementia in a primary care setting. SEARCH METHODS: We searched the Cochrane Dementia and Cognitive Improvement Register of Diagnostic Test Accuracy Studies, MEDLINE, Embase and four other databases, initially to September 2012. Since then, four updates to the search were performed using the same search methods, and the most recent was January 2017. We used citation tracking (using the databases' 'related articles' feature, where available) as an additional search method and contacted authors of eligible studies for unpublished data. SELECTION CRITERIA: We only included studies that evaluated the Mini-Cog as an index test for the diagnosis of Alzheimer's disease dementia or related forms of dementia when compared to a reference standard using validated criteria for dementia. We only included studies that were conducted in primary care populations. DATA COLLECTION AND ANALYSIS: We extracted and described information on the characteristics of the study participants and study setting. Using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) criteria we evaluated the quality of studies, and we assessed risk of bias and applicability of each study for each domain in QUADAS-2. Two review authors independently extracted information on the true positives, true negatives, false positives, and false negatives and entered the data into Review Manager 5 (RevMan 5). We then used RevMan 5 to determine the sensitivity, specificity, and 95% confidence intervals. We summarized the sensitivity and specificity of the Mini-Cog in the individual studies in forest plots and also plotted them in a receiver operating characteristic plot. We also created a 'Risk of bias' and applicability concerns graph to summarize information related to the quality of included studies. MAIN RESULTS: There were a total of four studies that met our inclusion criteria, including a total of 1517 total participants. The sensitivity of the Mini-Cog varied between 0.76 to 1.00 in studies while the specificity varied between 0.27 to 0.85. The included studies displayed significant heterogeneity in both methodologies and clinical populations, which did not allow for a meta-analysis to be completed. Only one study (Holsinger 2012) was found to be at low risk of bias on all methodological domains. The results of this study reported that the sensitivity of the Mini-Cog was 0.76 and the specificity was 0.73. We found the quality of all other included studies to be low due to a high risk of bias with methodological limitations primarily in their selection of participants. AUTHORS' CONCLUSIONS: There is a limited number of studies evaluating the accuracy of the Mini-Cog for the diagnosis of dementia in primary care settings. Given the small number of studies, the wide range in estimates of the accuracy of the Mini-Cog, and methodological limitations identified in most of the studies, at the present time there is insufficient evidence to recommend that the Mini-Cog be used as a screening test for dementia in primary care. Further studies are required to determine the accuracy of Mini-Cog in primary care and whether this tool has sufficient diagnostic test accuracy to be useful as a screening test in this setting.

Adjusting the Thai version of the Addenbrooke's Cognitive Examination III for education to screen for dementia.

Aim: To examine whether education adjusted cut-off points of the Thai version of the ACE-III improve diagnostic accuracy in the detection of mild cognitive impairment (MCI) and dementia. Materials & methods: There were 172 participants consisting of 70 normal controls, 49 people with MCI and 53 patients with dementia. Results: To screen for MCI, the adjusted for education method yielded greater accuracy for the area under the receiver operating characteristic curve (AuROC) than the unadjusted method (0.9-0.92 vs 0.86). For the detection of dementia, when applying the education correction, AuROC increased from 0.87 (unadjusted) to 0.91 for the education >6 group, but there was no improvement for education ≤6 group (AuROC 0.86). Conclusion: The use of adjusted cut-off score for education level could increase the diagnostic accuracy of the test.

Lay abstract This study aimed to evaluate the ability of the Thai version of the Addenbrooke's Cognitive Examination-III to detect mild cognitive impairment and dementia. Since educational level often affects cognitive test performance, in this study we adjusted the cut-off score according to the educational level to improve the test utility. Our results show that the Thai version of the Addenbrooke's Cognitive Examination-III is a valid cognitive instrument for detecting mild cognitive impairment and dementia. In addition, adjusting the cut-off scores for education level is found to enhance the accuracy of the test.

Sensitive Measures of Cognition in Mild Cognitive Impairment.

BACKGROUND: Sensitive measures of cognition are needed in preclinical and prodromal Alzheimer's disease (AD) to track cognitive change and evaluate potential interventions. Neurofibrillary tangle pathology in AD is first observed in Brodmann Area 35 (BA35), the medial portion of the perirhinal cortex. The importance of the perirhinal cortex for semantic memory may explain early impairments of semantics in preclinical AD. Additionally, our research has tied figurative language impairment to neurodegenerative disease. OBJECTIVE: We aim to identify tasks that are sensitive to cognitive impairment in individuals with mild cognitive impairment (MCI), and that are sensitive to atrophy in BA35. METHODS: Individuals with MCI and cognitively normal participants (CN) were tested on productive and receptive experimental measures of semantic memory and experimental tests of figurative language comprehension (including metaphor and verbal analogy). Performance was related to structural imaging and standard neuropsychological assessment. RESULTS: On the experimental tests of semantics and figurative language, people with MCI performed worse than CN participants. The experimental semantic memory tasks are sensitive and specific; performance on the experimental semantic memory tasks related to medial temporal lobe structural integrity, including BA35, while standard neuropsychological assessments of semantic memory did not, demonstrating the sensitivity of these experimental measures. A visuo-spatial analogy task did not differentiate groups, confirming the specificity of semantic and figurative language tasks. CONCLUSION: These experimental measures appear sensitive to cognitive change and neurodegeneration early in the AD trajectory and may prove useful in tracking cognitive change in clinical trials aimed at early intervention.

Linking the Clinical Dementia Rating Scale-Sum of Boxes, the Clinician's Interview-Based Impression Plus Caregiver Input, and the Clinical Global Impression Scale: Evidence based on Individual Participant Data from Five Randomized Clinical Trials of Donepezil.

BACKGROUND: In patients with Alzheimer's disease, global assessment scales, such as the Clinical Dementia Rating-Sum of Boxes (CDR-SB), the Clinician's Interview-Based Impression Plus Caregiver Input (CIBI plus), and the Clinical Global Impression (CGI) are commonly used. OBJECTIVE: To clinically understand and interpret the associations between these scales, we examined the linkages for the total and change scores of CDR-SB, CIBI plus, and CGI. METHODS: Individual participant data (N = 2,198) from five pivotal randomized placebo-controlled trials of donepezil were included. Data were collected at baseline and scheduled visits for up to 6 months. Spearman's correlation coefficients ρ were examined between corresponding total and change scores of simultaneous CDR-SB, CIBI plus, and CGI ratings. To link between the simultaneous ratings, equipercentile linking was used. RESULTS: We found strong evidence that the Spearman's correlation coefficients between the CDR-SB and CGI, and CDR-SB and CIBI plus total scores were at least adequately correlated (ρ= 0.50 to 0.71, with p < 0.01). The correlation coefficients between the change scores of CDR-SB and CGI were deemed adequate for weeks 6 to 24 (ρ= 0.44 to 0.65); the remaining correlations were smaller in magnitude (ρ= 0.09 to 0.35). Overall, the linkages were in-line with expectations, e.g., CDR-SB range score of 3-4 (= very mild dementia) was linked to a CGI score of 3 (= mildly ill), and an increase of CDR-SB of 1 was linked to a change of 5 (= minimal worsening) in both CGI and CIBI plus. CONCLUSION: The study findings can be useful for clinicians wishing to compare scores of different scales across patients. They can also help researchers understand results of studies using different scales and can facilitate meta-analyses, to increase statistical power.

Combination of Plasma Neurofilament Light Chain and Mini-Mental State Examination Score Predicts Progression from Mild Cognitive Impairment to Alzheimer's Disease within 5 Years.

BACKGROUND: Individuals with mild cognitive impairment (MCI) are at high risk of progression to Alzheimer's disease (AD) dementia, but some remain stable. There is a need to identify those at higher risk of progression to improve patient management and outcomes. OBJECTIVE: To evaluate the trajectory of plasma neurofilament light chain (pNFL) prior to progression from MCI to AD dementia, the performance of pNFL, in combination with the Mini-Mental State Examination (MMSE), as a predictor of progression from MCI to AD dementia and to inform clinicians on the use of pNFL as a predictive biomarker. METHODS: Participants (n = 440) with MCI and longitudinal follow-up (mean = 4.2 years) from the AD Neuroimaging Initiative dataset were included. pNFL as a marker for neurodegeneration and the MMSE as a cognitive measure were investigated as simple/practical predictors of progression. The risk of progressing from MCI to AD dementia associated with pNFL and MMSE scores was assessed using Cox and logistic regression models. RESULTS: The current risk of progression to AD dementia was 37%higher in individuals with high pNFL (> 56 ng/L) compared to those with average pNFL (≤40 ng/L). A combination of baseline pNFL and MMSE could differentiate those who progressed within 5 years (AUC = 0.75) from stable individuals. Including change in MMSE over 6-12 months further improved the model (AUC = 0.84). CONCLUSION: Our findings reveal that combining pNFL with a simple dementia screener (MMSE) can reliably predict whether a person with MCI is likely to progress to AD dementia within 5 years.

Diagnostic accuracy of virtual cognitive assessment and testing: Systematic review and meta-analysis.

BACKGROUND/OBJECTIVES: Virtual (i.e., telephone or videoconference) care was broadly implemented because of the COVID-19 pandemic. Our objectives were to compare the diagnostic accuracy of virtual to in-person cognitive assessments and tests and barriers to virtual cognitive assessment implementation. DESIGN: Systematic review and meta-analysis. SETTING: MEDLINE, EMBASE, CDSR, CENTRAL, PsycINFO, and gray literature (inception to April 1, 2020). PARTICIPANTS AND INTERVENTIONS: Studies describing the accuracy or reliability of virtual compared with in-person cognitive assessments (i.e., reference standard) for diagnosing dementia or mild cognitive impairment (MCI), identifying virtual cognitive test cutoffs suggestive of dementia or MCI, or describing correlations between virtual and in-person cognitive test scores in adults. MEASUREMENTS: Reviewer pairs independently conducted study screening, data abstraction, and risk of bias appraisal. RESULTS: Our systematic review included 121 studies (15,832 patients). Two studies demonstrated that virtual cognitive assessments could diagnose dementia with good reliability compared with in-person cognitive assessments: weighted kappa 0.51 (95% confidence interval [CI] 0.41-0.62) and 0.63 (95% CI 0.4-0.9), respectively. Videoconference-based cognitive assessments were 100% sensitive and specific for diagnosing dementia compared with in-person cognitive assessments in a third study. No studies compared telephone with in-person cognitive assessment accuracy. The Telephone Interview for Cognitive Status (TICS; maximum score 41) and modified TICS (maximum score 50) were the only virtual cognitive tests compared with in-person cognitive assessments in >2 studies with extractable data for meta-analysis. The optimal TICS cutoff suggestive of dementia ranged from 22 to 33, but it was 28 or 30 when testing was conducted in English (10 studies; 1673 patients). Optimal modified TICS cutoffs suggestive of MCI ranged from 28 to 31 (3 studies; 525 patients). Sensory impairment was the most often voiced condition affecting assessment. CONCLUSION: Although there is substantial evidence supporting virtual cognitive assessment and testing, we identified critical gaps in diagnostic certainty.

The Cognitive Load of Inpatient Consults: Development of the Consult Cognitive Load Instrument and Initial Validity Evidence.

PURPOSE: Fellows and residents provide inpatient consultations. Though consults vary considerably, measuring the associated cognitive load (CL) is key to guiding faculty on how to optimize learning during consults. However, existing CL instruments, such as the unidimensional Paas scale, cannot separate the 3 components of CL and may miss the nuances of consult CL. Therefore, the authors developed the Consult Cognitive Load (CCL) instrument to measure the 3 CL components during consults. METHOD: In 2018-2019, the authors developed the CCL at the University of California, San Francisco, using Wilson's constructive approach to measurement. To generate content and response process validity evidence, the authors consulted the literature and experts to generate construct maps, items, and a scoring rubric and conducted cognitive interviews. They administered the CCL to internal medicine and psychiatry trainees across 5 University of California campuses and used Rasch family and linear regression models to assess internal structure validity and relationships to key predictor variables. They compared the CCL with the Paas scale using Wright maps and used latent correlations to support separating CL into 3 components. RESULTS: Analysis revealed appropriate fit statistics, appropriate mean respondent location increases across all levels, threshold banding, and expected relationships with key predictor variables. The CCL provided more coverage of the 3 CL components compared with the Paas scale. Correlations among the 3 CL components were not strong, suggesting that the CCL offers more nuance than a unidimensional measure of CL in the context of consults. CONCLUSIONS: This study generated initial validity evidence to support the CCL's use as a measure of consult CL and supports measuring the 3 CL components separately rather than as a single construct in the context of consults. Learners and faculty could compare learner CCL scores with reference scores to promote reflection, metacognition, and coaching.

Linking AM-PAC Cognition to PROMIS Cognitive Function.

OBJECTIVE: To link the Activity Measure for Post-Acute Care (AM-PAC) Applied Cognition to the Patient-Reported Outcomes Measurement Information System (PROMIS) Cognitive Function, allowing for a common metric across scales. DESIGN: Cross-sectional survey study. SETTING: Outpatient rehabilitation clinics. PARTICIPANTS: Consecutive sample of 500 participants (N=500) aged ≥18 years presenting for outpatient therapy (physical, occupation, speech). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: AM-PAC Medicare and Generic Cognition short forms and PROMIS Cognitive Function items representing the PROMIS Cognitive Function item bank. RESULTS: The calibration of 25 AM-PAC cognition items with 11 fixed PROMIS cognitive function item parameters using item-response theory indicated that items were measuring the same underlying construct (cognition). Both scales measured a wide range of functioning. The AM-PAC Generic Cognitive assessment showed more reliability with lower levels of cognition, whereas the PROMIS Cognitive Function full-item bank was more reliable across a larger distribution of scores. Data were appropriate for a fixed-anchor item response theory-based crosswalk and AM-PAC Cognition raw scores were mapped onto the PROMIS metric. CONCLUSIONS: The crosswalk developed in this study allows for converting scores from the AM-PAC Applied Cognition to the PROMIS Cognitive Function scale.

Cognitive dysfunction among people with systemic lupus erythematosus is associated with reduced participation in daily life.

OBJECTIVES: This study aimed to investigate the distribution of cognitive function in people with systemic lupus erythematosus (SLE) by objective and self-report measures and associations between cognition and participation among people with SLE. METHODS: Fifty-five volunteers with SLE (age: 39.7 ± 12.7yrs, female: 92.7%) completed the Montreal Cognitive Assessment (MoCA) to measure cognitive ability objectively, the Cognitive Symptom Inventory (CSI) and PROMIS Cognitive Function 8a (CF) to assess self-reported everyday cognition, and PROMIS-43 Profile to assess self-reported ability to participate in social roles and activities (participation) and other disease-associated symptoms (e.g., depression, pain, fatigue). RESULTS: The average MoCA score was 25.3 ± 3.1, with 47.3% of participants scoring <26, which is indicative of cognitive impairment. Group average CSI (35.8 ± 7.9), CF (T-score = 45.0 ± 8.5), and participation (T-score = 46.9 ± 11.2) scores suggest mildly impaired functional cognition and participation compared to normative data. Participation correlated with self-reported everyday cognition measures (r ≥ 0.56, p < 0.01) but not with MoCA (r = 0.25, p = 0.06). In hierarchical linear regression analysis, CSI, fatigue, and pain were each significant independent predictors of participation (R2 = 0.78, p < 0.01). CONCLUSIONS: We found that cognitive dysfunction is common among people with SLE. Along with pain and fatigue, reduced everyday cognitive function contributes to reduced participation in social, leisure, work, and family-related activities.

Ecological, convergent, and discriminative validities of the cognitive abilities screening instrument in people with dementia.

BACKGROUND: The Cognitive Abilities Screening Instrument (CASI) assesses global cognitive function in people with dementia with 9 domains (i.e., long-term memory, short-term memory, concentration, orientation, attention, abstraction and judgment, language abilities, visual construction, and category fluency). However, the ecological, convergent, and discriminant validities of the CASI have not yet been examined. PURPOSE: This study designed to investigate these 3 validities of the CASI in people with dementia. METHODS: Fifty-eight participants underwent assessments with the CASI, 3 functional measures, and 3 cognitive measures. Pearson's r was used to estimate correlations among the CASI and 3 functional measures for examining ecological validity. We computed correlations (r) among the CASI and 3 functional measures for examining convergent validity. An independent t-test was applied to compare the levels of disability, and ceiling/floor effects were analyzed for examining discriminative validity. RESULTS: The CASI total score and domains had moderate to high correlations with 3 functional measures (r = 0.42-0.80), except in 2 CASI domains (i.e., attention and language). The CASI total score and domains showed moderate to high correlations with 3 cognitive measures (r = 0.45-0.93). The t-test results revealed significant differences (P < .05) in the CASI total score and other domains except for the short-term memory domains. Four domains of the CASI showed noticeable ceiling effects (22.4-39.7%). CONCLUSIONS: The CASI has adequate ecological validity, good convergent validity, and acceptable discriminative validity in people with dementia. The 5 domains with nonsignificant differences or ceiling effects should only be used with caution to distinguish people with dementia.

Spanish consortium for ageing normative data (scand): screening tests (mmse, gds-15 and mfe) / Consorcio Español para la Obtención de Datos Normativos del Envejecimiento: Pruebas de Cribado (MMSE, GDS-15 y MFE)

BACKGROUND: Detecting cognitive impairment is a priority for health systems. The aim of this study is to create normative data on screening tests (MMSE, GDS and MFE) for middle-aged and older Spanish adults, considering the effects of sociodemographic factors. METHOD: A total of 2,030 cognitively intact subjects who lived in the community, aged from 50 to 88 years old, participated voluntarily in SCAND consortium studies. The statistical procedure included the conversion of percentile ranges into scalar scores. Secondly, the effects of age, educational level and gender were verified. Linear regressions were used to calculate the scalar adjusted scores. Cut-off values for each test were also calculated. RESULTS: Scalar scores and percentiles corresponding to MMSE, GDS-15 and MFE are shown. An additional table is provided which shows the points that must be added or subtracted from MMSE score depending on the subject's educational level. CONCLUSIONS: The current norms should provide clinically useful data for evaluating Spanish people aged 50 to 88 years old and should contribute to improving the detection of initial symptoms of cognitive impairment in people living in the community, taking into account the influence of gender, age and educational level

ANTECEDENTES: detectar el deterioro cognitivo es una prioridad del sistema sanitario. El objetivo de este estudio es la presentación de datos normativos de pruebas de cribado (MMSE, GDS y MFE) para adultos españoles de mediana edad y adultos mayores, considerando los efectos de factores sociodemográficos. MÉTODO: en los estudios realizados por el consorcio SCAND participaron voluntariamente 2.030 personas cognitivamente sanas, de 50 a 88 años, residentes en su comunidad. El procedimiento estadístico supuso la conversión de rangos percentiles en puntuaciones escalares. Posteriormente, se comprobaron los efectos de la edad, el nivel educativo y el género. Se utilizaron regresiones lineales para calcular las puntuaciones escalares ajustadas. También se calcularon los puntos de corte para cada prueba. RESULTADOS: se muestran las puntuaciones escalares y los percentiles correspondientes a MMSE, GDS-15 y MFE. Además, se presenta una tabla que muestra los puntos que deben sumarse o restarse a la puntuación del MMSE dependiendo del nivel educativo del individuo. CONCLUSIONES: los datos normativos presentados tienen una utilidad clínica para evaluar a población española de 50 a 88 años, y contribuyen a mejorar la detección de los síntomas iniciales del deterioro cognitivo teniendo en cuenta la influencia del género, la edad y el nivel educativo

Connecting policy to licensed assisted living communities, introducing health services regulatory analysis.

OBJECTIVE: To document dementia-relevant state assisted living regulations and their changes over time as they pertain to licensed care settings. DATA SOURCES: For all states, current directories of licensed assisted living communities and state regulations for each year, 2007-2018, were obtained from state agency websites and Nexis Uni, respectively. STUDY DESIGN: We identified multiple types of regulatory classifications for each state and documented the presence or absence of specific dementia care provisions in the regulations for each type by study year. Maps and summary statistics were used to compare results to previous research and document change longitudinally. DATA COLLECTION/EXTRACTION METHODS: We used a policy analysis approach to connect communities listed in directories to applicable regulatory text. Then, we employed policy surveillance and question-based coding to record the presence or absence of specific policies for each classification and study year. PRINCIPAL FINDINGS: Our team empirically documented provisions requiring dementia-specific training for administrators and direct care staff, and cognitive impairment screening for each study year. We found that 23 states added one or more of these requirements for one or more license types, but the states that had these provisions for all types of licensed assisted living declined from four to two. CONCLUSIONS: We identified significant, previously undocumented, within-state policy variation for assisted living licensed settings between 2007 and 2018. Using the regulatory classification instead of the state as the unit of analysis revealed that many policy adoptions were limited to dementia-designated settings. This suggests that people living with dementia in general assisted living are not afforded the same protections. We call our approach health services regulatory analysis and argue that it has the potential to identify gaps in existing policies, an important endeavor for health services research in assisted living and other care settings.