Evidence map›Paper›PMID 28717900›Full record

ReviewJournal of general internal medicine2017

Elements of Program Design in Medicare's Value-based and Alternative Payment Models: a Narrative Review.

Karen E Joynt Maddox, Aditi P Sen, Lok Wong Samson, Rachael B Zuckerman, Nancy DeLew, Arnold M Epstein

Abstract readReview
In one paragraph

Review in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Karen E Joynt MaddoxBrigham and Women's Hospital, Boston, MA, USA. kjoyntmaddox@wustl.edu.
Aditi P SenJohns Hopkins University, Baltimore, MD, USA.
Lok Wong SamsonOffice of the Assistant Secretary for Planning and Evaluation, United States Department of Health and Human Services, Washington, DC, USA.
Rachael B ZuckermanOffice of the Assistant Secretary for Planning and Evaluation, United States Department of Health and Human Services, Washington, DC, USA.
Nancy DeLewOffice of the Assistant Secretary for Planning and Evaluation, United States Department of Health and Human Services, Washington, DC, USA.
Arnold M EpsteinBrigham and Women's Hospital, Boston, MA, USA.

Funding

THE IMPACT OF PUBLIC REPORTING ON OUTCOMES AND CASE SELECTION FOR PCIK23HL109177 · NHLBI · WASHINGTON UNIVERSITY · PI JOYNT MADDOX, KAREN ELLEN · 2011 to 2017
$691k
NHLBI NIH HHS K23 HL109177
6 · The paper itself

Abstract

Increasing emphasis on value in health care has spurred the development of value-based and alternative payment models. Inherent in these models are choices around program scope (broad vs. narrow); selecting absolute or relative performance targets; rewarding improvement, achievement, or both; and offering penalties, rewards, or both. We examined and classified current Medicare payment models-the Hospital Readmissions Reduction Program (HRRP), Hospital Value-Based Purchasing Program (HVBP), Hospital-Acquired Conditions Reduction Program (HACRP), Medicare Advantage Quality Star Rating program, Physician Value-Based Payment Modifier (VM) and its successor, the Merit-Based Incentive Payment System (MIPS), and the Medicare Shared Savings Program (MSSP) on these elements of program design and reviewed the literature to place findings in context. We found that current Medicare payment models vary significantly across each parameter of program design examined. For example, in terms of scope, the HRRP focuses exclusively on risk-standardized excess readmissions and the HACRP on patient safety. In contrast, HVBP includes 21 measures in five domains, including both quality and cost measures. Choices regarding penalties versus bonuses are similarly variable: HRRP and HACRP are penalty-only; HVBP, VM, and MIPS are penalty-or-bonus; and the MSSP and MA quality star rating programs are largely bonus-only. Each choice has distinct pros and cons that impact program efficacy. Unfortunately, there are scant data to inform which program design choice is best. While no one approach is clearly superior to another, the variability contained within these programs provides an important opportunity for Medicare and others to learn from these undertakings and to use that knowledge to inform future policymaking.

Indexed as

HumansMedicarePatient ReadmissionProgram EvaluationReimbursement, IncentiveUnited StatesValue-Based Purchasing

Identifiers

PMID28717900
PMCPMC5653552

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.