Notice bibliographique
Résumé
In late June 2019, we learned that the Montreal Cognitive Assessment (MoCA) would become proprietary in September. Users must be trained and certified for a fee of $125 and recertify every 2 years. Colleagues, especially those who experienced the privatization of the Mini-Mental State Examination (MMSE) in 2000,1 have registered a range of reactions from resignation to anger and disgust. With its catchy name, visual appeal, and free download, the MoCA is the preferred cognitive mini-battery for use in clinical care, training, and research, and it has found its way into a number of electronic medical record platforms. Ziad Nasreddine, the MoCA's author and copyright holder, has created a company (MoCA Test Inc; www.mocatest.org) to manage certification, licensing, administration, scoring, and communication. Under the new requirements and subject to uncertain future iterations, users must register a unique profile, obtain consent, and enter selected patient data and test responses through an online portal for centralized scoring.2 In recent e-mail exchanges, Nasreddine told us that his goals are to create an international database that may be shared with researchers and sold to commercial or other entities, and to support further development of the MoCA by user fees and other funding. We assume that patients will have to consent to the use of their clinically acquired data and that proxy consent will be needed when consent capacity is in question. These issues will discourage clinicians from routinely assessing cognition and create substantial inconvenience and potential legal challenges for healthcare systems choosing to retain access to the MoCA. We do not ask patients to "consent" to having their blood pressure or blood glucose measured. We should not have to do so for the basic cognitive assessment that is essential for effective patient care planning. The full implications of the change in access to the MoCA are unknown. It is not yet clear how data acquired as part of ongoing or new federally funded research will be handled; the existing contract governing its inclusion in the Uniform Data Set, used by all US Alzheimer's Disease Research Centers, is valid until 2025 (personal communication, Walter Kukull, director of the National Alzheimer's Coordinating Center [NACC]). The two major user groups most immediately affected are clinicians and educators, but healthcare systems will also feel the pain. Low identification of cognitive impairment in clinical practice has been tagged as a healthcare quality problem in every country studied, and routine use of cognitive screening tools can partially fix that. In 2011, introduction of the Centers for Medicaid & Medicare Services (CMS) Medicare Annual Wellness Visit (AWV) included cognitive impairment among the health risks that must be considered when individualizing prevention plans for older people.3, 4 Some healthcare systems embedded cognitive screening tools with searchable scores into their AWV documentation process, and in 2017, the introduction of the Cognitive Impairment Assessment and Care Plan code by CMS provided a new payment vehicle to encourage linking detection of cognitive impairment to comprehensive assessment and management. This new benefit reflects an important policy advance; we should be promoting its implementation. These two key benefits, combined with transition and chronic care management, provide a suite of payment tools that could positively transform dementia care in the United States. To the extent that healthcare systems have embraced the goal of standardizing cognitive assessment, the loss of a popular screening tool could throw this hard-won progress into disarray. We think the anticipated disruption offers an important opportunity to reexamine the value we place on cognitive tests and our growing reliance on them. The standardized tests we use today derive from a cognitive taxonomy that has evolved with, and partly as a result of, advances in clinical neuroscience. These tools serve several important purposes. In research, they allow for longitudinal assessment of change and comparison of different clinical or treatment groups and serve as key outcomes in studying the benefits and harms of interventions. In clinical geriatric care and training, they simplify assessment of certain mental functions that are vulnerable to aging and disease effects, create a common descriptive language, help identify individuals who may need specialized management, and track changes over time. Easy-to-use validated instruments encourage assessment of problems invisible or neglected in routine care that, if detected, can benefit from clinical intervention: cognitive impairment, fall risk, and depression are prime examples. As physicians, we like measures that yield a neat numerical value—and we are now often called on to provide a specific test score (usually MMSE or MoCA) as evidence in determination of decisional capacity, eligibility for long-term care benefits or other essential services, or exemption from citizenship examination (although this practice should be questioned). The impact of privatizing the MoCA on clinician education could be far reaching. Medical educators have adopted it as their cognitive assessment tool of choice, and innumerable residents, fellows, and practicing physicians throughout the United States and Canada have been trained to use it. Countless hours have been spent developing didactic materials, simulation exercises, and observed structured clinical exams for this purpose. However, one could argue that any screening tool that requires so much effort to get right in routine use should be considered, at the very least, provisional, a work in progress rather than a gold standard. Nasreddine has publicly acknowledged a worrisome degree of variability in test performance5 as one reason for his decision to require certification. Should we accede to the new requirements, or find or develop other assessment tools that accomplish what we expected MMSE and then MoCA to do? A number of such tools are already freely available, among them the Mini-Cog,6 a brief screen designed to detect dementia in generalist settings but more sensitive to mild cognitive impairment (MCI) when paired with an established functional impairment screen,7 and three mini-batteries: the Kokmen Short Test of Mental Status (STMS)8; the Rowland Universal Dementia Assessment Scale (RUDAS),9 and the St. Louis Mental Status Exam.10 The STMS11 and the RUDAS12 perform at least as well as the MoCA in detecting MCI, the primary cognitive target for which the MoCA was developed. It bears repeating that all screening tests, including the MoCA, have strengths and weaknesses, and none yield a diagnosis. It is also important to keep in mind that the value of a test lies not only in its intrinsic characteristics but (perhaps more importantly) in its fitness for the purpose it is meant to serve and the people with whom it will be used. To acquaint trainees and practicing clinicians with the importance of cognition in the lives and healthcare of their patients, it makes sense to teach about everyday cognition, an aspect not measured by the MoCA or other popular screening tests. Everyday cognition includes such functions as prospective memory (remembering to remember, critical in adhering to home treatment and getting to the doctor); understanding the basics of one's health problems and evaluating changes should they occur; thinking about one's possible future states and accepting help when needed; and maintaining relationships with others who matter and are, or will be, called on to help provide care. One example of a standardized approach to assessing practical cognition is the Clinical Dementia Rating, or CDR,13 now known as the CDR Dementia Staging Instrument. This tool was initially developed for staging Alzheimer's disease and has been updated to include items particular to frontotemporal lobar degeneration (the NACC FTLD Behavior & Language Domains, CDR plus NACC FTLD). It combines cognitive with behavioral and functional domains to classify individuals on a spectrum of impairment from none to severely demented. Although it requires extensive training and user certification, no fee is currently required. A derivative of the original CDR, the Dementia Severity Rating Scale,14 can be completed by an independent historian (eg, a family care partner) and performs well in multiple applications.15 Where do we go from here? Clinicians, academic institutions, and healthcare systems could, of course, choose to pay for training to use the MoCA. The process might improve reliability, as argued by its author (mocatest.org). The MoCA is, after all, a difficult test to give and score properly with heterogeneous patient populations in ordinary clinical settings where time and experience are at a premium. But what about the requirements to register as a user, obtain patient (and perhaps proxy) consent for each use, and share clinical data with a commercial entity? Although not unlawful, such a requirement feels vaguely exploitative. It creates, by design, a MoCA registry that can be used in ways that those who contribute to it have no rights to challenge or critique and from which there is no guarantee of benefit. Moreover, might such a required consent process undermine the comfort and trust we seek to establish when conducting a sensitive inquiry that is already potentially threatening to the patients we seek to help? Our major research and public health organizations, professional associations, and many health systems now recognize the urgent need to address the care of cognitively impaired older people as a population health imperative. We call on them to take on the problem of cognitive assessment in a new way. The field needs a multifaceted tool designed for ease of use across healthcare settings, relevant to everyday cognition and function, unbiased in application with diverse populations, and guaranteed availability at no cost. Large increases in National Institutes of Health (NIH) funding for research on Alzheimer's disease and related dementias, now at $2.34 billion for FY 2019, can surely accommodate this effort. The 2020 NIH National Research Summit on Care, Services, and Supports for Persons with Dementia and Their Caregivers provides the perfect opportunity to launch a collaborative commitment to development of new tools, and it would signify a much needed national investment in improving healthcare for our aging population. We thank Barak Gaster, MD, and Ziad Nasreddine, MD, for their comments, and other expert colleagues who provided valuable feedback but have chosen to remain anonymous. None declared. Concept, initial and final drafting, and revisions: Borson. Drafting and revision: Sehgal and Chodosh. No sponsor.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,022 | 0,068 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,006 |
| Communication savante | 0,011 | 0,024 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,010 | 0,016 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,054 | 0,033 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».