Evidence map›Paper›PMID 42684304›Full record

ArticleJournal of medical Internet research2026

Patient Portal Activation Disparities by Ward, Census Tract, and Zip Code in an Urban Landscape Among Neurology Patients: Cross-Sectional Multi-Scale Analysis.

Nicholas Streicher

Abstract readMulticenter Study
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Nicholas StreicherDepartment of Neurology, Georgetown University Medical Center, 3800 Reservoir Road, N.W., Washington, DC, 20007, United States, 1 202 687 0100.ORCID 0009-0006-3321-7064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient portals are essential infrastructure, reinforced by the 21st Century Cures Act, yet adoption remains inequitable. The COVID-19 pandemic accelerated portal adoption as telehealth and remote result delivery made electronic access integral to care, but racial and ethnic disparities persisted. Understanding activation determinants is critical for addressing digital health disparities, particularly among neurology patients, for whom cognitive, speech, and mobility impairments can complicate portal use. Objective: We examined the demographic, geographic, and neighborhood-level factors associated with patient portal activation among neurology patients in the Washington, DC (officially the District of Columbia), metropolitan area. Methods: We conducted a cross-sectional study of 72,417 patients with at least one outpatient neurology encounter (including telehealth) at 2 academic medical centers sharing a common electronic health record in Washington, DC. The primary outcome was portal activation, defined as having logged into the portal at least once. We examined associations using multivariable logistic regression (reporting adjusted odds ratios [aORs]) adjusting for age, sex, race and ethnicity, visit counts, and year of most recent encounter, and we assessed geographic patterning at multiple scales (the DC metropolitan catchment area, DC's 8 wards, census tracts via geocoded addresses, and residential zip codes) using Pearson and Spearman correlations between ward- and tract-level American Community Survey indicators and activation. Results: Portal activation was 64.7% (46,851/72,417) overall; patients averaged 9.7 (SD 18.9) visits. Activation varied by race and ethnicity (non-Hispanic White: 21,420/28,154, 76.1%; non-Hispanic Asian: 1109/1925, 57.6%; non-Hispanic Black: 13,057/22,900, 57%; Hispanic: 1979/3600, 55%). In adjusted models, odds of activation were lower for non-Hispanic Black (aOR 0.46, 95% CI 0.44-0.48), Hispanic (aOR 0.34, 95% CI 0.31-0.37), and non-Hispanic Asian (aOR 0.47, 95% CI 0.42-0.52) patients vs non-Hispanic White patients, and each SD increase in age was associated with lower odds (aOR 0.60, 95% CI 0.59-0.61; Conclusions: To our knowledge, this is the first multi-scale geographic analysis of patient portal activation. Activation was shaped by demographic, socioeconomic, and geographic factors, yet racial disparities persisted within individual wards regardless of socioeconomic advantage, indicating that neighborhood resources alone do not explain the digital divide. Health systems should pair targeted measures such as neighborhood-level enrollment support and digital literacy assistance with culturally tailored, clinic-based activation support to achieve digital health equity.

Indexed as

Census TractHealthcare DisparitiesNeurologyPatient PortalsAdultAgedCross-Sectional StudiesDigital HealthDistrict of ColumbiaFemaleHumansMaleMiddle AgedUrban PopulationWhitebroadbanddigital divideelectronic health recordsgeographic information systemshealth care disparitieshealth equityhealth informaticsneurologypatient portalssocioeconomic factors

Identifiers

PMID42684304
PMCPMC13515356

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.