Abstract
Dementia specialists—neurologists, geriatricians, and geriatric psychiatrists—serve a critical clinical function in diagnosing early-stage Alzheimer's disease and determining eligibility for treatment with disease-modifying therapies. However, the availability of dementia specialists is limited and varies across the United States. Using data from the Area Health Resources Files, we found that the median density of dementia specialists across hospital referral regions in United States is 28.8 per 100 000 population aged 65 years and older (interquartile range 19.3-43.6). We derived thresholds of 33-45 dementia specialists per 100 000 population aged 65 years and older as the provider density necessary to care for older adults with mild cognitive impairment and dementia. Based on these thresholds, we estimated that 34%-59% of the population aged 65 years and older resided in areas with potential dementia specialist shortfalls. The extent of potential shortfalls varied by state and rurality. A better understanding of potential gaps in the availability of dementia specialists will inform policies and practices to ensure access to services for people with cognitive impairment and dementia.
Keywords: dementia, Alzheimer's, healthcare workforce
Introduction
The Food and Drug Administration traditional approval of lecanemab and donanemab for early-stage Alzheimer's disease (AD) and a robust pipeline of AD-modifying therapies in clinical trials bring urgency to the question of how patients will access AD-modifying therapies.1-4 Unlike dementia medications used for symptom management, these therapies slow the disease progression and eligible patients must be diagnosed with early-stage AD—mild cognitive impairment (MCI) due to AD or mild Alzheimer's dementia. However, undiagnosed dementia is common, with early-stage AD more frequently undetected.5-7 As this class of therapies continues to emerge, it is critical to improve the underdiagnosis of early-stage AD.
Although early detection and clinical assessment may be performed by primary care providers (PCPs) and neuropsychologists, it is typically neurologists, geriatricians, and geriatric psychiatrists who would diagnose early-stage AD, confirm the Alzheimer's pathology, and recommend and monitor treatment.8,9 Shortages of these specialists have been acknowledged, but studies have typically focused on a single specialty and older adults generally (eg, age 65 years and older) without specific consideration of early-stage AD.10-13 Prior research estimated that shortfalls of dementia specialists could result in long wait times and delayed treatment.14,15 Access to care is likely to be unequal across the United States as estimated neurologist and geriatrician shortfalls vary by state.12,16 In addition, poorer access to specialists in rural areas contributes to higher rates of preventable hospitalization and mortality.17
To better understand the geographic variation in dementia specialists, we examined the density of dementia specialists as the number of neurologists, geriatricians, and geriatric psychiatrists per population aged 65 years and older in hospital referral regions (HRRs) in the United States and the share of the population residing in areas with potential shortfalls.
Data and methods
To estimate the number of dementia specialists, we used 2020 county-level data from the 2021-2022 Area Health Resources Files. We identified neurologists, general internal medicine physicians, family medicine physicians, and psychiatrists involved in patient care. We estimated the proportions of geriatricians in internal and family medicine and geriatric psychiatrists in psychiatry based on state-level data where available18,19 or national data.19,20 We used county-level population data from the 2020 Census.
We computed the specialist density for HRRs, which are geographic regions representing healthcare markets for tertiary care and defined as areas with at least one hospital performing major cardiovascular procedures and neurosurgery. Contained within the 306 HRRs are 3436 hospital service areas that represent local healthcare markets.21 We used county-to-ZIP code and ZIP-to-HRR crosswalks from the Dartmouth Atlas and calculated the number of dementia specialists per 100 000 population aged 65 years and older in each HRR. We used the 2013 Rural/Urban Continuum Codes to categorize counties, with 1-3 as urban and 4-9 as rural.22
To define target density thresholds, we first considered people with MCI, who may have early-stage AD. Assuming 22.9% MCI prevalence23 and a 700-patient panel,16 we estimated 33 dementia specialists per 100 000 population aged 65 years and older (0.229/700*100 000) would be needed. For the second threshold, we considered those with MCI or dementia (prevalence 8.5%23,24) and estimated 45 dementia specialists per 100 000 population aged 65 years and older ((0.229 + 0.085)/700*100 000).
There were several limitations to this analysis. First, the providers and populations included were not perfectly aligned with those involved in AD care. Healthcare workforce shortages are frequently defined by provider density or population to provider ratios;13,25 however, there are not definitive thresholds for dementia care. Although neurologists are generally able to diagnosis AD, behavioral neurology is a small subspecialty and not all neurologists assess cognitive impairment. Excluding neurologists who would not typically conduct cognitive assessments would increase the estimated shortfall. Although AD prevalence is low under age 65 years, including younger populations would somewhat increase the estimated shortfall. Second, disease prevalence and provider information were not available at the HRR level. We used national estimates of MCI and dementia prevalence and state (where available) and national data on the number of providers by specialty. Third, we did not account for people traveling outside their HRR of residence for care. While people do cross boundaries for care, perhaps more frequently in rural areas, movement across HRRs for care is relatively low.26 This results in portraying geographic disparities that could be larger than actual differences in access. However, this may be counterbalanced by other barriers such as financial and transportation difficulties. Fourth, we did not consider any PCPs as dementia-proficient practitioners. There are primary care-led models in which PCPs perform clinical assessments and AD diagnosis; however, these activities are infrequent at typical primary care practices. Finally, this analysis is descriptive and does not consider causation. The presence of healthcare professionals in a geographic area is one measure of availability of services, which is related to access to care. Further analyses are needed beyond this HRR-level analysis of dementia specialists to better measure access to dementia care.
Results
The median density of dementia specialists was 28.8 per 100 000 population aged 65 years and older (interquartile range 19.3-43.6) across HRRs (Figure 1). Of the 306 HRRs, we found 178 HRRs (58%) had fewer than 33 dementia specialists per 100 000 population aged 65 years and older, and 234 HRRs (76%) had fewer than 45. The first density threshold represents the number of specialists needed for patients with MCI, while the second represents the level needed for patients with MCI or dementia. The density of dementia specialists by state is shown in Appendix Figure A.1.
Figure 1.
Dementia specialists per 100 000 population aged 65 years and older in HRRs, 2020. Area Health Resources Files (AHRF), 2021-2022; U.S. Census Bureau, 2020. Values are not shown for areas that are not defined within a hospital referral region (HRR).
Of the 55.7 million adults aged 65 years and older, we found that 18.8 million (33.9%) resided in areas with fewer than 33 dementia specialists per 100 000 population aged 65 years and older (Table 1). About 33.1 million (59.4%) resided in areas with fewer than 45 dementia specialists per 100 000 population aged 65 years and older. Although the urban population was larger than the rural population, a larger share of rural populations resided in shortfall areas. Approximately 25.7 million or 55.6% of the urban population aged 65 years and older were in shortfall areas, whereas 7.4 million or 78.5% of the rural population age 65 years and older were in shortfall areas.
Table 1.
Population residing in areas by dementia specialist density.
| Dementia specialists per 100 000 population aged 65 years and older | Population aged 65 years and older, millions (%) | Urban population aged 65 years and older, millions (%) | Rural population aged 65 years and older, millions (%) |
|---|---|---|---|
| 9-20 | 7.2 (12.9%) | 4.8 (10.3%) | 2.4 (25.5%) |
| 20-33 | 11.7 (21.0%) | 9.2 (19.8%) | 2.5 (26.7%) |
| 33-45 | 14.2 (25.6%) | 11.8 (25.4%) | 2.5 (26.2%) |
| 45 and greater | 22.6 (40.6%) | 20.6 (44.4%) | 2.0 (21.5%) |
Area Health Resources Files (AHRF), 2021-2022; U.S. Census Bureau, 2020.
Discussion
We found substantial variation in the density of dementia specialists across HRRs and states. More than half of HRRs had shortfalls of dementia specialists. There was overall a higher share of the rural population in shortfall areas, but the extent to which shortfalls affected urban and rural populations varied by state (Appendix Figure A.2).
Other work has documented geographic, socioeconomic, and racial disparities in dementia care.27 For example, people living with dementia in rural areas had fewer physician visits, higher use of nursing facility care, and higher mortality rates compared to those in urban areas.28,29 People in rural areas were less likely to receive neuropsychological testing; however, they may be more likely to visit PCPs for diagnosis and symptom management,30 which suggests potential for more training or guidance to PCPs to help alleviate the limited availability of specialists. Telehealth models such as Project ECHO (Extension for Community Healthcare Outcomes) that connect PCPs and specialists to provide education and support could help improve access in rural areas.31,32
Limited availability of dementia specialists could hinder timely access to diagnosis, which delays care planning, financial planning, and possible treatment with disease-modifying therapies that are time-critical to slow disease progression. Increasing dementia proficiency among PCPs, shifting parts of the detection and diagnostic processes to the primary care setting, establishing more collaborative care models involving PCPs and non-physician staff as well as routine workflows would help reduce the need for specialist care.33,34 Timely detection and diagnosis of early-stage AD will require collaboration between PCPs and dementia specialists, as well as other stakeholders including patients and families, health system leaders, payers, and public health officials.
Conclusion
Approximately one-third to nearly 60% of the population aged 65 years and older lived in areas with potential shortfalls of dementia specialists. The density of dementia specialists varied across HRRs, states, and urban versus rural areas. Given developments in early detection and new therapeutics for early-stage AD, a better understanding of potential gaps in the availability of dementia specialists will inform policies and practices necessary to ensure access to services for people with cognitive impairment and dementia.
Supplementary Material
Acknowledgments
The authors thank Rachel Reid and Lori Frank for their valuable feedback on an earlier version of this manuscript.
Contributor Information
Jodi L Liu, RAND, Economics, Sociology, and Statistics Department, Santa Monica, CA 90407-2138, USA.
Lawrence Baker, RAND, Pardee RAND Graduate School, Santa Monica, CA 90407-2138, USA.
Annie Yu-An Chen, RAND, Pardee RAND Graduate School, Santa Monica, CA 90407-2138, USA.
Jue (Jessie) Wang, RAND, Economics, Sociology, and Statistics Department, Boston, MA 02116, USA.
Supplementary material
Supplementary material is available at Health Affairs Scholar online.
Funding
The authors received no external funding for the analysis and preparation of this manuscript.
Notes
- 1. van Dyck CH, Swanson CJ, Aisen P, et al. Lecanemab in early Alzheimer's disease. N Engl J Med. 2023;388(1):9–21. 10.1056/NEJMoa2212948 [DOI] [PubMed] [Google Scholar]
- 2. Sims JR, Zimmer JA, Evans CD, et al. Donanemab in early symptomatic Alzheimer disease: the TRAILBLAZER-ALZ 2 randomized clinical trial. JAMA. 2023;330(6):512–527. 10.1001/jama.2023.13239 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Cummings J, Zhou Y, Lee G, et al. Alzheimer’s disease drug development pipeline: 2023. Alzheimers Dement (N Y). 2023;9(2):e12385. 10.1002/trc2.12385 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Cummings JL, Osse AML, Kinney JW, et al. Alzheimer’s disease: combination therapies and clinical trials for combination therapy development. CNS Drugs. 2024;38(8):613–624. 10.1007/s40263-024-01103-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Amjad H, Roth DL, Sheehan OC, Lyketsos CG, Wolff JL, Samus QM. Underdiagnosis of dementia: an observational study of patterns in diagnosis and awareness in US older adults. J Gen Intern Med. 2018;33(7):1131–1138. 10.1007/s11606-018-4377-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Lin PJ, Daly A, Olchanski N, et al. Dementia diagnosis disparities by race and ethnicity. Alzheimers Dement. 2020;16(S10):e043183. 10.1002/alz.043183 [DOI] [Google Scholar]
- 7. Mattke S, Jun H, Chen E, Liu Y, Becker A, Wallick C. Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis. Alzheimers Res Ther. 2023;15(1):128. 10.1186/s13195-023-01272-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Galvin JE, Aisen P, Langbaum JB, et al. Early stages of Alzheimer's disease: evolving the care team for optimal patient management. Front Neurol. 2021;11:592302. 10.3389/fneur.2020.592302 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Hampel H, Au R, Mattke S, et al. Designing the next-generation clinical care pathway for Alzheimer's disease. Nat Aging. 2022;2(8):692–703. 10.1038/s43587-022-00269-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. 2020 Alzheimer's disease facts and figures. Alzheimers Dement. 2020; 16(3):391–460. 10.1002/alz.12068 [DOI] [Google Scholar]
- 11. U.S. Department of Health and Human Services; Health Resources and Services Administration . National and regional projections of supply and demand for geriatricians: 2013-2015. Published online April, 2017. Accessed June 10, 2024. https://bhw.hrsa.gov/sites/default/files/bureau-health-workforce/data-research/geriatrics-report-51817.pdf
- 12. Dall TM, Storm MV, Chakrabarti R, et al. Supply and demand analysis of the current and future US neurology workforce. Neurology. 2013;81(5):470–478. 10.1212/WNL.0b013e318294b1cf [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Rao A, Manteau-Rao M, Aggarwal NT. [P1–561]: Dementia neurology deserts: what are they and where are they located in the U.S.? Alzheimers Dement. 2017;13(7S_Part_10):P509–P509. 10.1016/j.jalz.2017.06.577 [DOI] [Google Scholar]
- 14. Liu JL, Hlavka JP, Hillestad R, Mattke S. Assessing the Preparedness of the U.S. Health Care System Infrastructure for an Alzheimer's Treatment. RAND Corporation; 2017. Accessed September 13, 2022. https://www.rand.org/pubs/research_reports/RR2272.html [Google Scholar]
- 15. Mattke S, Hanson M. Expected wait times for access to a disease-modifying Alzheimer's treatment in the United States. Alz Dem. 2022;18(5):1071–1074. 10.1002/alz.12470 [DOI] [PubMed] [Google Scholar]
- 16. American Geriatrics Society . Current geriatrician shortfall. Published February 2017. Accessed November 15, 2023. https://www.americangeriatrics.org/sites/default/files/inline-files/Current-Geriatrician-Shortfall_0.pdf
- 17. Johnston KJ, Wen H, Joynt Maddox KE. Lack of access to specialists associated with mortality and preventable hospitalizations of rural medicare beneficiaries. Health Aff. 2019;38(12):1993–2002. 10.1377/hlthaff.2019.00838 [DOI] [PubMed] [Google Scholar]
- 18. American Geriatrics Society . Current number of board certified geriatricians by state. Published July 2022. Accessed October 14, 2023. https://www.americangeriatrics.org/sites/default/files/inline-files/Current%20Number%20of%20Board%20Certified%20Geriatricians%20by%20State%20%28July%202022%29.pdf
- 19. Beck AJ, Page C, Buche J, Rittman D, Gaiser M. Estimating the Distribution of the U.S. Psychiatric Subspecialist Workforce. University of Michigan Behavioral Health Workforce Research Center; 2018. Accessed May 26, 2023. https://behavioralhealthworkforce.org/wp-content/uploads/2019/02/Y3-FA2-P2-Psych-Sub_Full-Report-FINAL2.19.2019.pdf [Google Scholar]
- 20. Association of American Medical Colleges . Active Physicians by Sex and Specialty. AAMC; 2019. Accessed May 29, 2023. https://www.aamc.org/data-reports/workforce/data/active-physicians-sex-and-specialty-2019 [Google Scholar]
- 21. Wennberg JE, Cooper MM.. Appendix on the geography of health care in the United States (ed.), The Quality of Medical Care in the United States: A Report on the Medicare Program: The Dartmouth Atlas of Health Care 1999: The Center for the Evaluative Clinical Sciences [Internet]: American Hospital Publishing, Inc.; 1999:6–6. https://www.ncbi.nlm.nih.gov/books/NBK589075/. [PubMed] [Google Scholar]
- 22. U.S. Department of Agriculture Economic Research Service . Rural-urban continuum codes. Published December 10, 2020. Accessed May 26, 2023. https://www.ers.usda.gov/data-products/rural-urban-continuum-codes.aspx
- 23. Hudomiet P, Hurd MD, Rohwedder S. Documentation—predicted cognition and dementia measures, release 1. Published online January 24, 2023. Accessed May 26, 2023. https://hrsdata.isr.umich.edu/sites/default/files/documentation/data-descriptions/1675357913/DocumentationData.pdf
- 24. Hudomiet P, Hurd MD, Rohwedder S. Trends in inequalities in the prevalence of dementia in the United States. Proc Natl Acad Sci U S A. 2022;119(46):e2212205119. 10.1073/pnas.2212205119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Bureau of Health Workforce; Health Resources and Services Administration (HRSA) . Designated Health Professional Shortage Areas Statistics: Third Quarter of Fiscal Year 2023 Designated HPSA Quarterly Summary. U.S. Department of Health & Human Services; 2023. Accessed September 20, 2023. data.hrsa.gov/Default/GenerateHPSAQuarterlyReport [Google Scholar]
- 26. Kilaru AS, Wiebe DJ, Karp DN, Love J, Kallan MJ, Carr BG. Do hospital service areas and hospital referral regions define discrete health care populations? Med Care. 2015;53(6):510. 10.1097/MLR.0000000000000356 [DOI] [PubMed] [Google Scholar]
- 27. Lewis A, Gupta A, Oh I, et al. Association between socioeconomic factors, race, and use of a specialty memory clinic. Neurology. 2023;101(14):e1424–e1433. 10.1212/WNL.0000000000207674 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Arsenault-Lapierre G, Bui TX, Le Berre M, Bergman H, Vedel I. Rural and urban differences in quality of dementia care of persons with dementia and caregivers across all domains: a systematic review. BMC Health Serv Res. 2023;23(1):102. 10.1186/s12913-023-09100-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Rahman M, White EM, Thomas KS, Jutkowitz E. Assessment of rural-urban differences in health care use and survival among medicare beneficiaries with Alzheimer disease and related dementia. JAMA Netw Open. 2020;3(10):e2022111. 10.1001/jamanetworkopen.2020.22111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Xu WY, Jung J, Retchin SM, Li Y, Roy S. Rural-urban disparities in diagnosis of early-onset dementia. JAMA Netw Open. 2022;5(8):e2225805. 10.1001/jamanetworkopen.2022.25805 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. McBain RK, Sousa JL, Rose AJ, et al. Impact of project ECHO models of medical tele-education: a systematic review. J Gen Intern Med. 2019;34(12):2842–2857. 10.1007/s11606-019-05291-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Lindauer A, Wild K, Natonson A, et al. Dementia 360 ECHO: using technology to facilitate diagnosis and treatment. Gerontol Geriatr Educ. 2022;43(2):202–208. 10.1080/02701960.2020.1835658 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Heintz H, Monette P, Epstein-Lubow G, Smith L, Rowlett S, Forester BP. Emerging collaborative care models for dementia care in the primary care setting: a narrative review. Am J Geriatr Psychiatry. 2020;28(3):320–330. 10.1016/j.jagp.2019.07.015 [DOI] [PubMed] [Google Scholar]
- 34. Mattke S, Batie D, Chodosh J, et al. Expanding the use of brief cognitive assessments to detect suspected early-stage cognitive impairment in primary care. Alzheimers Dement. 2023;19(9):4252–4259. 10.1002/alz.13051 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

