Evidence map›Paper›PMID 42890122›Full record

ArticleHealth affairs scholar2026

Assessing eligibility of Medicare beneficiaries with chronic conditions for the ACCESS model.

Terrence T Liu, Joshua A Jacobs, Heather Sateia, Kensaku Kawamoto, Molly B Conroy

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Terrence T LiuDivision of General Internal Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84112, United States.ORCID https://orcid.org/0000-0002-3907-1565
Joshua A JacobsDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84112, United States.ORCID https://orcid.org/0000-0002-9621-9060
Heather SateiaDivision of General Internal Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84112, United States.ORCID https://orcid.org/0000-0001-8591-938X
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84112, United States.ORCID https://orcid.org/0000-0003-4282-9338
Molly B ConroyDivision of General Internal Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84112, United States.ORCID https://orcid.org/0000-0003-0404-1371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Advancing Chronic Care with Effective Scalable Solutions (ACCESS) model is a new outcome-aligned payment model intended to support technology-enabled chronic disease management among Traditional Medicare (TM) beneficiaries. However, the national population potentially eligible for ACCESS remains poorly characterized, particularly those with multiple chronic conditions. Methods: Using nationally representative survey data from the 2023 Medical Expenditure Panel Survey, we described the health characteristics and health care utilization patterns of TM beneficiaries potentially eligible for the ACCESS model. Results: A total of 56.3% of beneficiaries (estimated 9.1 million) were potentially eligible to participate in the model, 24% of beneficiaries (estimated 2.2 million) had multiple chronic conditions, and beneficiary telehealth use for cardio-kidney-metabolic and musculoskeletal conditions was limited. Conclusion: The sizable proportion of TM beneficiaries potentially eligible for more than one ACCESS track suggests a deliberate approach to care coordination to support technology-enabled chronic disease management in older adults.

Indexed as

chronic diseaseDigital Health Technologymedicaremultimorbidityprimary care

Identifiers

PMID42890122
PMCPMC13670957

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.