Evidence map›Paper›PMID 27917479›Full record

Observational studyHealth services research2017

Hospital Postacute Care Referral Networks: Is Referral Concentration Associated with Medicare-Style Bundled Payments?

Ramandeep Kaur, Jennifer N Perloff, Christopher Tompkins, Christine E Bishop

Abstract readObservational Study
In one paragraph

Observational study in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ramandeep KaurThe Heller School for Social Policy and Management, Brandeis University, Waltham, MA.
Jennifer N PerloffThe Heller School for Social Policy and Management, Brandeis University, Waltham, MA.
Christopher TompkinsThe Heller School for Social Policy and Management, Brandeis University, Waltham, MA.
Christine E BishopThe Heller School for Social Policy and Management, Brandeis University, Waltham, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate whether Medicare-style bundled payments are lower or higher for beneficiaries discharged from hospitals with postacute care (PAC) referrals concentrated among fewer PAC providers. DATA SOURCE: Medicare Part A and Part B claim (2008-2012) for all beneficiaries residing in any of 17 market areas: the Provider of Service file, the Healthcare Cost Report Information System, and the Dartmouth Atlas. STUDY

designAn observational study in which hospitals were distinguished according to PAC referral concentration, which is the tendency to utilize fewer rather than more PAC providers. We tested the hypothesis that higher referral concentration would be associated with total Medicare bundled payments. DATA COLLECTION/EXTRACTION

methodsThe data represent a convenience sample of market areas that were defined by the locations of grantees from the ONC Beacon Community Program. PRINCIPAL

findingsThe four most-used PAC providers accounted for an average of 60 percent of patients discharged from hospitals in the sample. Regression analysis suggested that higher referral concentration was associated with lower Medicare costs per bundle.

conclusionsHospitals that tend to use fewer PAC providers may lead to lower costs for payers such as Medicare. The study results reinforce the importance of limited networks for PAC services under bundling arrangements for hospital and PAC payments.

Indexed as

AgedAged, 80 and overAge FactorsFemaleHumansLinear ModelsMaleMedicarePatient Care BundlesPatient DischargeReferral and ConsultationSex FactorsSocioeconomic FactorsSubacute CareUnited Statesbundled paymentsBundles of carepostacute care referral network

Identifiers

PMID27917479
PMCPMC5682136

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.