Evidence map›Paper›PMID 30604120›Full record

ArticleJournal of general internal medicine2019

A Retrospective Study of Administrative Data to Identify High-Need Medicare Beneficiaries at Risk of Dying and Being Hospitalized.

Emmanuelle Bélanger, Benjamin Silver, David J Meyers, Momotazur Rahman, Amit Kumar, Cyrus Kosar, Vincent Mor

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Caring for high-need patients.BMC health services research · 2023
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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.

Emmanuelle BélangerCenter for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, RI, USA. emmanuelle_belanger@brown.edu.
Benjamin SilverCenter for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, RI, USA.
David J MeyersDepartment of Health Services, Policy & Practice, School of Public Health, Brown University, Providence, RI, USA.
Momotazur RahmanCenter for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, RI, USA.
Amit KumarCollege of Health and Human Services, Northern Arizona University, Flagstaff, USA.
Cyrus KosarDepartment of Health Services, Policy & Practice, School of Public Health, Brown University, Providence, RI, USA.
Vincent MorCenter for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, RI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeveloping a definition of what constitutes high need among Medicare beneficiaries using administrative data is an important prerequisite to evaluating value-based payment reforms. While various definitions of high need exist, their predictive validity for different patient outcomes in the following year has not been systematically assessed for both fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries.

objectiveTo develop a definition of high need using administrative data in 2014 and to examine its predictive validity for patient outcomes in 2015 as compared to alternative definitions for both FFS and MA beneficiaries.

designRetrospective cohort study of national Medicare claims and post-acute assessment data.

participantsAll Medicare beneficiaries in 2014 who survived until the end of the year (n = 54,717,039). MAIN MEASURES: Two or more complex conditions, 6 or more chronic conditions, acute or post-acute health services utilization, indicators of frailty, complete dependency in mobility or in any activities of daily living in post-acute care assessments, hospitalization, mortality, days in community, Medicare expenditures. KEY

resultsBased on our definition of high-need patients, 13.17% of FFS and 8.85% of MA beneficiaries were identified as high need in 2014. High-need FFS patients had mortality rates 7.1 times higher (16.23% vs. 2.27%) and hospitalization rates 3.4 times higher (40.69 vs. 12.03) in 2015 compared to other beneficiaries. Competing high-need definitions all had good specificity (≥ 0.88). Having 3 or more Hierarchical Chronic Conditions yielded a good positive predictive value for hospitalization, at 0.50, but only identified 19.71% of FFS beneficiaries hospitalized and 28.46% of FFS decedents that year as high need, as opposed to 33.92% and 51.98% for the new definition. Results were similar for MA beneficiaries.

conclusionsThe proposed high-need definition has better sensitivity and yields a sample of almost 5 million FFS and 1.5 million MA beneficiaries, facilitating outcome performance comparisons across health systems.

Indexed as

Data Interpretation, StatisticalMortalityAgedAged, 80 and overDatabases, FactualFemaleHealth Services Needs and DemandHospitalizationHumansInsurance BenefitsMaleMedicare Part CMiddle AgedRetrospective StudiesRisk FactorsUnited Stateshealth services NeedhospitalizationMedicaremortality

Identifiers

PMID30604120
PMCPMC6420563

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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.