TY - JOUR
T1 - Lessons from Detecting Cognitive Impairment Including Dementia (DetectCID) in Primary Care
AU - Bernstein Sideman, Alissa
AU - Chalmer, Rachel
AU - Ayers, Emmeline
AU - Gershon, Richard
AU - Verghese, Joe
AU - Wolf, Michael
AU - Ansari, Asif
AU - Arvanitis, Marina
AU - Bui, Nhat
AU - Chen, Pei
AU - Chodos, Anna
AU - Corriveau, Roderick
AU - Curtis, Laura
AU - Ehrlich, Amy R.
AU - Tomaszewski Farias, Sarah E.
AU - Goode, Collette
AU - Hill-Sakurai, Laura
AU - Nowinski, Cindy J.
AU - Premkumar, Mukund
AU - Rankin, Katherine P.
AU - Ritchie, Christine S.
AU - Tsoy, Elena
AU - Weiss, Erica
AU - Possin, Katherine L.
N1 - Funding Information:
Each consortium site faces the challenge of how to make their paradigms sustainable, and collectively, the group considered options for sustainability that included seeking reimbursement for cognitive assessment via the Annual Wellness Visit and the Cognitive Assessment and Care Planning codes [7, 42, 43], and maximizing risk adjusted payments by identifying and coding dementia diagnoses for Medicare Advantage beneficiaries [12]. For ongoing success in primary care, we found that paradigms must be financially sustainable, fit efficiently within clinical workflows, and be perceived by PCPs as providing value for their patients. An added challenge for the digital paradigms (TabCAT-BHA and MyCog) is that they rely on software platforms that are primarily supported by grant funding and require ongoing funding for EHR integrations, software maintenance and upgrades, and user support. During the COVID-19 pandemic, a challenge to sustainability is that all paradigms are administered in-person. Brief cognitive assessments that can accurately detect cognitive impairment in a digital remote format could help address this challenge.
Funding Information:
The investigators want to thank David S. Knopman, MD, Terry Postma, MD, and Katie Maslow, MSW (the DetectCID External Advisory Board); Claudia Moy, PhD (DetectCID Administrative Officer); as well as Zahra Hosseinian, MA, Jordan Stoeger, MA, JuliaYoshino Benavente, MPH, Rachel O Conor, PhD, MPH, and Joel Kramer, PsyD for their support and guidance on this project. Research reported in this publication was supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Number UG3NS105565, UH3NS105557, UH3NS105562. Dr. Bernstein Sideman s timewas supported by the National Institute on Aging (K01AG059840). Rod Corriveau is an employee of NINDS, the primary study sponsor. He advised on study design and revisions of the manuscript. No other sponsors contributed to the design or conduct of the study; collection, management, analysis and interpretation of the data; preparation, review, or approval of the manuscript.
Publisher Copyright:
© 2022 - IOS Press. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Background: Cognitive impairment, including dementia, is frequently under-detected in primary care. The Consortium for Detecting Cognitive Impairment, including Dementia (DetectCID) convenes three multidisciplinary teams that are testing novel paradigms to improve the frequency and quality of patient evaluations for detecting cognitive impairment in primary care and appropriate follow-up. Objective: Our objective was to characterize the three paradigms, including similarities and differences, and to identify common key lessons from implementation. Methods: A qualitative evaluation study with dementia specialists who were implementing the detection paradigms. Data was analyzed using content analysis. Results: We identified core components of each paradigm. Key lessons emphasized the importance of engaging primary care teams, enabling primary care providers to diagnose cognitive disorders and provide ongoing care support, integrating with the electronic health record, and ensuring that paradigms address the needs of diverse populations. Conclusion: Approaches are needed that address the arc of care from identifying a concern to post-diagnostic management, are efficient and adaptable to primary care workflows, and address a diverse aging population. Our work highlights approaches to partnering with primary care that could be useful across specialties and paves the way for developing future paradigms that improve differential diagnosis of symptomatic cognitive impairment, identifying not only its presence but also its specific syndrome or etiology.
AB - Background: Cognitive impairment, including dementia, is frequently under-detected in primary care. The Consortium for Detecting Cognitive Impairment, including Dementia (DetectCID) convenes three multidisciplinary teams that are testing novel paradigms to improve the frequency and quality of patient evaluations for detecting cognitive impairment in primary care and appropriate follow-up. Objective: Our objective was to characterize the three paradigms, including similarities and differences, and to identify common key lessons from implementation. Methods: A qualitative evaluation study with dementia specialists who were implementing the detection paradigms. Data was analyzed using content analysis. Results: We identified core components of each paradigm. Key lessons emphasized the importance of engaging primary care teams, enabling primary care providers to diagnose cognitive disorders and provide ongoing care support, integrating with the electronic health record, and ensuring that paradigms address the needs of diverse populations. Conclusion: Approaches are needed that address the arc of care from identifying a concern to post-diagnostic management, are efficient and adaptable to primary care workflows, and address a diverse aging population. Our work highlights approaches to partnering with primary care that could be useful across specialties and paves the way for developing future paradigms that improve differential diagnosis of symptomatic cognitive impairment, identifying not only its presence but also its specific syndrome or etiology.
KW - Cognitive assessment
KW - dementia
KW - detection
KW - diagnosis
KW - implementation evaluation
KW - mild cognitive impairment
KW - primary care
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U2 - 10.3233/JAD-215106
DO - 10.3233/JAD-215106
M3 - Article
C2 - 35124639
AN - SCOPUS:85128001353
SN - 1387-2877
VL - 86
SP - 655
EP - 665
JO - Journal of Alzheimer's Disease
JF - Journal of Alzheimer's Disease
IS - 2
ER -