Observational studyJournal of medical Internet research2026
Digital Health Readiness and Medicare Primary Care Spending: Nationwide County-Level Observational Analysis.
Observational study 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.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Background: Digital health technologies are increasingly promoted as mechanisms to improve care coordination, enhance access, and reduce health care costs. However, whether community-level digitalization is associated with lower primary care spending in Medicare-participating safety net settings remains unclear, particularly in federally qualified health centers (FQHCs) and rural health clinics (RHCs). Objective: This study examined the association between county-level digitalization and Medicare primary care spending for FQHC and RHC services across US counties. Specifically, we assessed whether higher digitalization was associated with lower spending, whether observed associations reflected persistent differences between counties or changes within counties over time, and how digitalization interacted with health care access and socioeconomic conditions. Methods: We conducted a county-level observational study of 2993 US counties from 2017 to 2023. Digitalization was measured using the Digital Health Index (DHI) digitalization subindex, and the outcome was geographically adjusted for per capita Medicare spending on FQHC and RHC services. A hybrid within-between panel model was used to distinguish between-county from within-county associations. Additional analyses included threshold models, digitalization trajectory analyses, and interaction models. Using 2023 cross-sectional data, multivariable regression and Extreme Gradient Boosting models with Shapley additive explanations were applied to evaluate the relative contributions of digitalization, health care access, and socioeconomic conditions to spending variation. Results: Higher county-level digitalization was associated with lower Medicare primary care spending. In longitudinal analyses, the association was driven primarily by persistent between-county differences (β=-67.62, 95% CI -73.51 to -61.74; Conclusions: Higher county-level digitalization was associated with lower Medicare primary care spending in FQHC and RHC settings. However, the association reflected long-standing structural differences across counties rather than short-term changes in digital capacity. These findings suggest that digitalization functions as a component of broader health system capacity and may contribute to improved primary care efficiency when supported by sustained investment, adequate health care access, and favorable local conditions.
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What OpenQuestion holds
Registered trials
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.