Rural‐Urban mild cognitive impairment comparison in West Michigan through EHR

Author:

Zhang Xiaodan1ORCID,Witteveen‐Lane Martin2,Skovira Christine12,Dave Aakash A.13,Jones Jeffrey S.4,McNeely Erin R.5,Lawrence Michael R.6,Morgan David G.7,Chesla Dave28,Chen Bin1910

Affiliation:

1. Department of Pediatrics and Human Development Michigan State University Grand Rapids Michigan USA

2. Office of Research Corewell Health West Michigan Grand Rapids Michigan USA

3. Center for Bioethics and Social Justice Michigan State University East Lansing Michigan USA

4. Department of Emergency Medicine Michigan State University Grand Rapids Michigan USA

5. Internal Medicine Corewell Health West Michigan Grand Rapids Michigan USA

6. Neurology and Clinical Neuropsychology Corewell Health West Michigan Grand Rapids Michigan USA

7. Department of Translational Neuroscience Michigan State University Grand Rapids Michigan USA

8. Department of Obstetrics Gynecology and Reproductive Biology Michigan State University Grand Rapids Michigan USA

9. Department of Pharmacology and Toxicology Michigan State University East Lansing Michigan USA

10. Department of Computer Science and Engineering Michigan State University East Lansing Michigan USA

Abstract

AbstractINTRODUCTIONMild cognitive impairment (MCI) is a significant public health concern and a potential precursor to Alzheimer's disease (AD). This study leverages electronic health record (EHR) data to explore rural‐urban differences in MCI incidence, risk factors, and healthcare navigation in West Michigan.METHODSAnalysis was conducted on 1,528,464 patients from Corewell Health West, using face‐to‐face encounters between 1/1/2015 and 7/31/2022. MCI cases were identified using International Classification of Diseases (ICD) codes, focusing on patients aged 45+ without prior MCI, dementia, or AD diagnoses. Incidence rates, cumulative incidences, primary care physicians (PCPs), and neuropsychology referral outcomes were examined across rural and urban areas. Risk factors were evaluated through univariate and multivariate Cox regression analyses. The geographic distribution of patient counts, hospital locations, and neurology department referrals were examined.RESULTSAmong 423,592 patients, a higher MCI incidence rate was observed in urban settings compared to rural settings (3.83 vs. 3.22 per 1,000 person‐years). However, sensitivity analysis revealed higher incidence rates in rural areas when including patients who progressed directly to dementia. Urban patients demonstrated higher rates of referrals to and completion of neurological services. While the risk factors for MCI were largely similar across urban and rural populations, urban‐specific factors for incident MCI are hearing loss, inflammatory bowel disease, obstructive sleep apnea, insomnia, being African American, and being underweight. Common risk factors include diabetes, intracranial injury, cerebrovascular disease, coronary artery disease, stroke, Parkinson's disease, epilepsy, chronic obstructive pulmonary disease, depression, and increased age. Lower risk was associated with being female, having a higher body mass index, and having a higher diastolic blood pressure.DISCUSSIONThis study highlights rural‐urban differences in MCI incidence and access to care, suggesting potential underdiagnosis in rural areas likely due to reduced access to specialists. Future research should explore socioeconomic, environmental, and lifestyle determinants of MCI to refine prevention and management strategies across geographic settings.Highlights Leveraged EHRs to explore rural‐urban differences in MCI in West Michigan. Revealed a significant underdiagnosis of MCI, especially in rural areas. Observed lower rates of neurological referrals and completions for rural patients. Identified risk factors specific to rural and urban populations.

Funder

National Institutes of Health

Publisher

Wiley

Reference50 articles.

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