Evidence map›Paper›PMID 24753973›Full record

ArticleMedicare & medicaid research review2013

Episode-based payment: evaluating the impact on chronic conditions.

Thomas J O'Byrne, Nilay D Shah, Douglas Wood, Robert E Nesse, Patrick J F Killinger, William J Litchy, Robert J Stroebel, Amy E Wagie, James M Naessens

Abstract read
In one paragraph

Article in Medicare & medicaid research review, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Design and impact of bundled payment for detox and follow-up care.Journal of substance abuse treatment · 2017
    Article
  9. Article
  10. Article
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

9 authors.

Thomas J O'ByrneMayo Clinic.
Nilay D ShahMayo Clinic.
Douglas WoodMayo Clinic.
Robert E NesseMayo Clinic.
Patrick J F KillingerMayo Clinic.
William J LitchyMayo Clinic.
Robert J StroebelMayo Clinic.
Amy E WagieMayo Clinic.
James M NaessensMayo Clinic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolicy makers are interested in aggregating fee-for-service reimbursement into episode-based bundle payments, hoping it will lead to greater efficiency in the provision of care. The focus of bundled payment initiatives has been upon surgical or discrete procedures. Relatively little is known about calculating and implementing episode-based payments for chronic conditions.

objectiveCompare the differences in two different episode-creation algorithms for two common chronic conditions: diabetes and coronary artery disease (CAD). STUDY

designWe conducted a retrospective evaluation using enrollees with continuous coverage in a self-funded plan from 2003 to 2006, meeting Healthcare Effectiveness Data and Information Set (HEDIS) criteria for diabetes or CAD. For each condition, an annual episode-based payment was assessed using two algorithms: Episode Treatment Groups (ETGs) and the Prometheus model. PRINCIPAL

findingsWe began with 1,580 diabetes patients with a 4-year total payment mean of $67,280. ETGs identified 1,447 (92%) as having diabetes with 4-year episode-based mean payments of $12,731; while the Prometheus model identified 1,512 (96%) as having diabetes, but included only 1,195 of them in the Prometheus model with mean diabetes payments of $23,250. Beginning with 1,644 CAD patients with a 4-year total payment mean of $65,661, ETGs identified 983 patients (60%) with a 4-year episode-based mean of $24,362. The Prometheus model identified 1,135 (69%) as CAD patients with 948 CAD patients having a mean of $26,536.

conclusionsThe two episode-based methods identify different patients with these two chronic conditions. In addition, there are significant differences in the episode-based payment estimates for diabetes, but similar estimates for CAD. Implementing episode-based payments for chronic conditions is challenging, and thoughtful discussions are needed to determine appropriate payments.

Indexed as

AdolescentAdultAgedAlgorithmsChronic DiseaseCoronary Artery DiseaseDiabetes MellitusFee-for-Service PlansHealth Care CostsHumansMiddle AgedModels, StatisticalRetrospective StudiesUnited StatesYoung AdultBundled PaymentsChronic DiseaseEpisodesRelevant Services

Identifiers

PMID24753973
PMCPMC3983732

What OpenQuestion holds

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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.