Mild Cognitive Impairment and Dementia Diagnoses after an Annual Wellness Visit in a Large Primary Care Network

Abstract Background The increasing incidence of cognitive impairment in older adults poses significant, complex challenges for patients and their families. While specialists have traditionally addressed this care, there is an urgent need to shift diagnosis and management of mild cognitive impairment (MCI) and dementia to primary care. The annual wellness visit for Medicare recipients provides an excellent opportunity for primary care providers (PCPs) to assess patients who may need a cognitive evaluation. Method We aimed to describe the timing of dementia‐related diagnoses in a large primary care network from electronic health record (EHR) data. All coded encounter data for patients 65 years and older seen in one of 14 primary care clinics at the University of Washington from January 1, 2019‐ August 1, 2023 were extracted from the EHR system and summarized. Result A total of 40,524 medical encounters for a Medicare annual wellness visit (AWV), billing code of G0439, were identified representing 17,179 unique patients. Of these, 187 (1.1%) had a first diagnosis of MCI, dementia or other cognitive impairment based on ICD 10 codes at a following clinic visit. The top diagnoses included dementia unspecified (36.9%), impaired cognition or other pre‐dementia diagnoses (26.2%), and Alzheimer’s Disease (23.0%). A median of 287 days (IQR 0‐587 days) elapsed between the AWV and coding of a dementia‐related diagnosis. Among encounters during which new dementia‐related diagnoses were documented, in 73% the primary diagnosis of the visit was a dementia‐related ICD‐10 diagnosis code; 27% listed other primary diagnoses (Table 1). Following a new dementia‐related diagnosis, a median of 3.3 (IQR 2‐5) primary care visits/year were made. Major comorbidities recorded in these visits included hypertension, diabetes, other cardiovascular conditions, chronic pulmonary disease, renal failure, other neurological disorders, and depression. The median weighted Charlson Comorbidity Index was 2.0 (IQR 0‐2). Conclusion These data may be helpful baseline measures to evaluate future trends in dementia‐related diagnosis following AWV. As programs designed to provide training and support for diagnosis and management of cognitive impairment in primary care settings are implemented, it will be important to understand the role the AWV serves as a tool for PCPs.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089864
Primary Topic
Health Promotion and Cardiovascular Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mild Cognitive Impairment and Dementia Diagnoses after an Annual Wellness Visit in a Large Primary Care Network

Amy P. Hsu, Monica Zigman Suchsland, Jaqueline Raetz, Sarah McKiddy et al.
Alzheimer s & Dementia
Health Promotion and Cardiovascular Prevention
article

Mild Cognitive Impairment and Dementia Diagnoses after an Annual Wellness Visit in a Large Primary Care Network

Amy P. Hsu, Monica Zigman Suchsland, Jaqueline Raetz, Sarah McKiddy, Annette L. Fitzpatrick, Barak Gaster
article en

Abstract

Abstract Background The increasing incidence of cognitive impairment in older adults poses significant, complex challenges for patients and their families. While specialists have traditionally addressed this care, there is an urgent need to shift diagnosis and management of mild cognitive impairment (MCI) and dementia to primary care. The annual wellness visit for Medicare recipients provides an excellent opportunity for primary care providers (PCPs) to assess patients who may need a cognitive evaluation. Method We aimed to describe the timing of dementia‐related diagnoses in a large primary care network from electronic health record (EHR) data. All coded encounter data for patients 65 years and older seen in one of 14 primary care clinics at the University of Washington from January 1, 2019‐ August 1, 2023 were extracted from the EHR system and summarized. Result A total of 40,524 medical encounters for a Medicare annual wellness visit (AWV), billing code of G0439, were identified representing 17,179 unique patients. Of these, 187 (1.1%) had a first diagnosis of MCI, dementia or other cognitive impairment based on ICD 10 codes at a following clinic visit. The top diagnoses included dementia unspecified (36.9%), impaired cognition or other pre‐dementia diagnoses (26.2%), and Alzheimer’s Disease (23.0%). A median of 287 days (IQR 0‐587 days) elapsed between the AWV and coding of a dementia‐related diagnosis. Among encounters during which new dementia‐related diagnoses were documented, in 73% the primary diagnosis of the visit was a dementia‐related ICD‐10 diagnosis code; 27% listed other primary diagnoses (Table 1). Following a new dementia‐related diagnosis, a median of 3.3 (IQR 2‐5) primary care visits/year were made. Major comorbidities recorded in these visits included hypertension, diabetes, other cardiovascular conditions, chronic pulmonary disease, renal failure, other neurological disorders, and depression. The median weighted Charlson Comorbidity Index was 2.0 (IQR 0‐2). Conclusion These data may be helpful baseline measures to evaluate future trends in dementia‐related diagnosis following AWV. As programs designed to provide training and support for diagnosis and management of cognitive impairment in primary care settings are implemented, it will be important to understand the role the AWV serves as a tool for PCPs.

Alzheimer s & DementiaVol. 20(S7)
University of Washington (US)
Openalex Percentile: Top 62%
Health Promotion and Cardiovascular Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.