Evidence map›Paper›PMID 31424319›Full record

SynthesisPopulation health management2020

How to Classify Super-Utilizers: A Methodological Review of Super-Utilizer Criteria Applied to the Utah Medicaid Population, 2016-2017.

Carl J Grafe, Roberta Z Horth, Nelson Clayton, Angela Dunn, Navina Forsythe

Abstract readSystematic Review
In one paragraph

Synthesis in Population health management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Toward a Comprehensive Model of Medical-Dental-Behavioral Integration.JDR clinical and translational research · 2024
    Article
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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

5 authors.

Carl J GrafeDivision of Scientific Education and Professional Development, CDC, Atlanta, Georgia.
Roberta Z HorthDivision of Scientific Education and Professional Development, CDC, Atlanta, Georgia.
Nelson ClaytonDivision of Medicaid and Health Financing, Utah Department of Health, Salt Lake City, Utah.
Angela DunnDivision of Disease Control and Prevention, Utah Department of Health, Salt Lake City, Utah.
Navina ForsytheCenter for Health Data and Informatics, Utah Department of Health, Salt Lake City, Utah.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

A limited number of patients, commonly termed super-utilizers, account for the bulk of health care expenditures. Multiple criteria for identifying super-utilizers exist, but no standard methodology is available for determining which criteria should be used for a specific population. Application is often arbitrary, and poorly aligned super-utilizer criteria might result in misallocation of resources and diminished effects of interventions. This study sought to apply an innovative, data-driven approach to classify super-utilizers among Utah Medicaid beneficiaries. The authors conducted a literature review of research methods to catalogue applied super-utilizer criteria. The most commonly used criteria were applied to Utah Medicaid beneficiaries enrolled during July 1, 2016-June 30, 2017, using their previous 12 months of claims data (N = 309,921). The

Indexed as

Health Services MisuseMedicaidChronic DiseaseCluster AnalysisDatabases, FactualEmergency Service, HospitalHumansMental DisordersUnited StatesUtahcluster analysisMedicaidmedical overusesystematic review

Identifiers

PMID31424319
PMCPMC8995378

What OpenQuestion holds

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Registered trials

None linked

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.