Evidence map›Paper›PMID 36067432›Full record

SynthesisHealth affairs (Project Hope)2022

Social Risk Adjustment In The Hospital Readmissions Reduction Program: A Systematic Review And Implications For Policy.

Teresa L Rogstad, Shweta Gupta, John Connolly, William H Shrank, Eric T Roberts

Abstract readSystematic Review
In one paragraph

Synthesis in Health affairs (Project Hope), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Social Frailty Index: Development and validation of an index of social attributes predictive of mortality in older adults.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. 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

5 authors.

Teresa L RogstadTeresa L. Rogstad (terry.rogstad@outlook.com), Teresa Rogstad Consulting, Lino Lakes, Minnesota.
Shweta GuptaShweta Gupta, John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois.
John ConnollyJohn Connolly, University of Pennsylvania, Philadelphia, Pennsylvania.
William H ShrankWilliam H. Shrank, Humana, Inc., Louisville, Kentucky.
Eric T RobertsEric T. Roberts, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Financial assistance for low-income Medicare beneficiaries: Using natural experiments to assess effects on care and health outcomesK01HS026727 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROBERTS, ERIC T · 2019 to 2022
$545k
Leveraging a natural experiment to identify the effects of VA community care programs on health care quality, equity, and Veteran experiencesI01HX003457 · VA · VETERANS HEALTH ADMINISTRATION · PI Walid F. Gellad, Eric T Roberts · 2022 to 2026
–
AHRQ HHS K01 HS026727HSRD VA I01 HX003457
6 · The paper itself

Abstract

Value-based payment programs adjust payments to providers based on spending, quality, or health outcomes. Concern that these programs penalize providers disproportionately serving vulnerable patients prompted calls to adjust performance measures for social risk factors. We reviewed fourteen studies of social risk adjustment in Medicare's Hospital Readmissions Reduction Program (HRRP), a value-based payment model that initially did not adjust for social risk factors but subsequently began to do so. Seven studies found that adding social risk factors to the program's base risk-adjustment model (which adjusts only for age, sex, and comorbidities) reduced differences in risk-adjusted readmissions and penalties between safety-net hospitals and other hospitals. Three studies found that peer grouping, the HRRP's current approach to social risk adjustment, reduced penalties among safety-net hospitals. Two studies found that differences in risk-adjusted readmissions and penalties were further narrowed when augmentation of the base model was combined with peer grouping. Two studies showed that it is possible to adjust for social risk factors without obscuring quality differences between hospitals. These findings support the use of social risk adjustment to improve provider payment equity and highlight opportunities to enhance social risk adjustment in value-based payment programs.

Indexed as

Patient ReadmissionRisk AdjustmentAgedHumansMedicarePolicySafety-net ProvidersUnited States

Identifiers

PMID36067432
PMCPMC9513720

What OpenQuestion holds

Textmetadata
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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.