Evidence map›Paper›PMID 30480116›Full record

ArticleInnovation in aging2017

Innovative Models for High-Risk Patients Use Care Coordination and Palliative Supports to Reduce End-of-life Utilization and Spending.

Sarah Ruiz, Lynne Page Snyder, Katherine Giuriceo, Joanne Lynn, Erin Ewald, Brittany Branand, Shriram Parashuram, Sai Loganathan, Tyler Bysshe

Open access · goldAbstract read
In one paragraph

Article in Innovation in aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. "'Palliative care and social practice · 2025
    Article
  2. Home Palliative Care Savings.Journal of palliative medicine · 2022
    Article
  3. Article
  4. Review
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 at 4 institutions in 1 country.

Sarah RuizNational Institute on Disability, Independent Living, and Rehabilitation Research, Administration for Community Living, Washington, District of Columbia.ORCID 0000-0002-6428-2321
Lynne Page SnyderNORC at the University of Chicago, Health Care Department, Bethesda, Maryland.
Katherine GiuriceoCenter for Medicare and Medicaid Innovation (CMMI), Centers for Medicare & Medicaid Services, Baltimore, Maryland.
Joanne LynnCenter for Elder Care and Advanced Illness, Altarum Institute, Washington, District of Columbia.
Erin EwaldNORC at the University of Chicago, Health Care Department, Bethesda, Maryland.
Brittany BranandNORC at the University of Chicago, Health Care Department, Bethesda, Maryland.
Shriram ParashuramNORC at the University of Chicago, Health Care Department, Bethesda, Maryland.
Sai LoganathanNORC at the University of Chicago, Health Care Department, Bethesda, Maryland.
Tyler ByssheNORC at the University of Chicago, Health Care Department, Bethesda, Maryland.
University of Chicago · USAdministration for Community Living · USAltarum Institute · USCenters for Medicare and Medicaid Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesCare coordination and palliative care supports are associated with reduced anxiety, fewer hospital admissions, and improved quality of life for patients and their families. Early palliative care can result in savings in the end-of-life period, but there is limited evidence that larger-scale models can improve both utilization and the cost of care. Three models that received Health Care Innovation Awards from the Centers for Medicare & Medicaid Services aimed to improve quality of care and reduce cost through the use of innovative care coordination models. This study explores the total cost of care and selected utilization outcomes at the end-of-life for these innovative models, each of which enrolled adults with multiple chronic conditions and featured care coordination with advance care planning as a component of palliative care. These included a comprehensive at-home supportive care model for persons predicted to die within a year and two models offering advance care planning in nursing facilities and during care transitions. RESEARCH DESIGN AND

methodsWe used regression models to assess model impacts on costs and utilization for high-risk Medicare beneficiaries participating in the comprehensive supportive care model (

resultsComparing participants in each model who died during the study period to matched comparators, two of the three models were associated with significantly lower costs in the last 90 days of life ($2,122 and $4,606 per person), and the third model showed nonsignificant differences. Two of the three models encouraged early hospice entry in the last 30 days of life. For the comprehensive at-home supportive care model, we observed aggregate savings of nearly $19 million over the study period. One care transition model showed aggregate savings of over $500,000 during the same period. Potential drivers of these cost savings include improved patient safety, timeliness of care, and caregiver support. DISCUSSION AND IMPLICATIONS: Two of the three models achieved significant lower Medicare costs than a comparison group and the same two models also sustained their models beyond the Centers for Medicare & Medicaid Services award period. These findings show promise for achieving palliative care goals as part of care coordination innovation.

Indexed as

Advance care planningAlternative payment modelsCare transitionsDisease managementEvidence-based programsMultiple chronic conditionsQuality improvement

Identifiers

PMID30480116
PMCPMC6176974
OpenAlexW2768660343

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.