Evidence map›Paper›PMID 30020755›Full record

ArticleThe American journal of managed care2018

Forgotten patients: ACO attribution omits those with low service use and the dying.

Mariétou H Ouayogodé, Ellen Meara, Chiang-Hua Chang, Stephanie R Raymond, Julie P W Bynum, Valerie A Lewis, Carrie H Colla

Abstract read
In one paragraph

Article in The American journal of managed care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Mariétou H OuayogodéThe Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Williamson Translational Research Building, Level 5, 1 Medical Center Dr, Lebanon, NH 03756. Email: Marietou.H.L.Ouayogode@Dartmouth.edu.
Ellen Meara
Chiang-Hua Chang
Stephanie R Raymond
Julie P W Bynum
Valerie A Lewis
Carrie H Colla

Funding

UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Alistair James O'MALLEY · 2001 to 2026
$52.9M
PA-20-072: Accelerating the Use of Evidence-based Innovation in Healthcare SystemsU19HS024075 · AHRQ · DARTMOUTH COLLEGE · PI MEARA, ELLEN R. · 2015 to 2021
$19.8M
Learning from Medicare Payment Reform: Economic Effects of ACO IncentivesR33AG044251 · NIA · DARTMOUTH COLLEGE · PI COLLA, CARRIE HOVERMAN · 2014 to 2016
$1.5M
The Effects of Accountable Care Organizations on Health Care DisparitiesK01AG049914 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEWIS, VALERIE A · 2015 to 2019
$646k
Examining the Feasibility of Linking National Survey of ACOs to Medicare ClaimsR03AG049360 · NIA · DARTMOUTH COLLEGE · PI COLLA, CARRIE HOVERMAN · 2015 to 2016
$162k
AHRQ HHS U19 HS024075NIA NIH HHS K01 AG049914NIA NIH HHS P01 AG019783NIA NIH HHS R03 AG049360NIA NIH HHS R33 AG044251
6 · The paper itself

Abstract

objectivesAlternative payment models, such as accountable care organizations, hold provider groups accountable for an assigned patient population, but little is known about unassigned patients. We compared clinical and utilization profiles of patients attributable to a provider group with those of patients not attributable to any provider group. STUDY

designCross-sectional study of 2012 Medicare fee-for-service beneficiaries 21 years and older.

methodsWe applied the Medicare Shared Savings Program attribution approach to assign beneficiaries to 2 mutually exclusive categories: attributable or unattributable. We compared attributable and unattributable beneficiaries according to demographics, dual eligibility for Medicaid, nursing home residency, clinical comorbidities, annual service utilization, annual spending, and 1- and 2-year mortality. We estimated multivariate regression models describing correlates of attribution status.

resultsMost beneficiaries (88%) were attributable to a provider group. The remaining 12% were unattributable. Beneficiaries unattributable to any provider group were more likely to be younger, male, and from a minority group; to have disability as the basis for enrollment; and to live in high-poverty areas. Unattributable beneficiaries included 3 distinct subgroups: nonusers of care, decedents, and those with healthcare service use but no qualifying evaluation and management visits. Many unattributable Medicare beneficiaries had minimal use of healthcare services, with the exception of a small subgroup of beneficiaries who died within the attribution year.

conclusionsAttribution approaches that more fully capture unattributable patients with low service use and patients near the end of life should be considered to reward population health efforts and improve end-of-life care.

Indexed as

Patient DropoutsAccountable Care OrganizationsAdultAgedCross-Sectional StudiesFee-for-Service PlansFemaleHumansMaleMedicareMiddle AgedMortalityUnited States

Identifiers

PMID30020755
PMCPMC6089367

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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.