Evidence map›Paper›PMID 23994598›Full record

ArticleJournal of health economics2013

The effect of prospective payment on admission and treatment policy: evidence from inpatient rehabilitation facilities.

Neeraj Sood, Peter J Huckfeldt, David C Grabowski, Joseph P Newhouse, José J Escarce

Abstract read
In one paragraph

Article in Journal of health economics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

5 authors.

Neeraj SoodUniversity of Southern California (USC), Los Angeles, CA, United States; RAND Corporation, Santa Monica, CA, United States; National Bureau of Economic Research (NBER), Cambridge, MA, United States. Electronic address: sood.neeraj@gmail.com.
Peter J Huckfeldt
David C Grabowski
Joseph P Newhouse
José J Escarce

Funding

Competition Among Post Acute Care ProvidersR01HS018541 · AHRQ · RAND CORPORATION · PI SOOD, NEERAJ · 2009 to 2011
$1.5M
Post-Acute Costs and Outcomes After Medicare's Reimbursement ChangesR01AG031260 · NIA · RAND CORPORATION · PI SOOD, NEERAJ · 2008 to 2010
$1.4M
AHRQ HHS R01 HS018541AHRQ HHS R01-HS018541NIA NIH HHS R01 AG031260NIA NIH HHS R01-AG031260
6 · The paper itself

Abstract

We examine provider responses to the Medicare inpatient rehabilitation facility (IRF) prospective payment system (PPS), which simultaneously reduced marginal reimbursement and increased average reimbursement. IRFs could respond to the PPS by changing the number of patients admitted, admitting different types of patients, or changing the intensity of care. We use Medicare claims data to separately estimate each type of provider response. We also examine changes in patient outcomes and spillover effects on other post-acute care providers. We find that costs of care initially fell following the PPS, which we attribute to changes in treatment decisions rather than the characteristics of patients admitted to IRFs within the diagnostic categories we examine. However, the probability of admission to IRFs increased after the PPS due to the expanded admission policies of providers. We find modest spillover effects in other post-acute settings and negative health impacts for only one of three diagnostic groups studied.

Indexed as

Organizational PolicyPatient AdmissionPostoperative CareProspective Payment SystemAgedAged, 80 and overArthroplasty, Replacement, HipArthroplasty, Replacement, KneeDatabases, FactualFemaleHumansMaleMedicareRehabilitation CentersStroke RehabilitationUnited StatesCream skimmingH42H51I11I18MedicareMortalityProspective paymentSelection

Identifiers

PMID23994598
PMCPMC3791147

What OpenQuestion holds

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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.