Evidence map›Paper›PMID 31752866›Full record

ArticleBMC health services research2019

Variation in expenditure for common, high cost surgical procedures in a working age population: implications for reimbursement reform.

W Wynn-Jones, T P Koehlmoos, C Tompkins, A Navathe, S Lipsitz, N K Kwon, P A Learn, C Madsen, A Schoenfeld, J S Weissman

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Uncertainty - a perennial.Journal of hip preservation surgery · 2022
    Article
  4. Review
  5. Article
  6. 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

10 authors.

W Wynn-JonesCentre for Surgery and Public Health, Brigham and Women's Hospital, 1620 Tremont Street, 1 Brigham Circle, Boston, MA, 02120, USA.
T P KoehlmoosF. Edward Hebert School of Medicine, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20184, USA. Tracey.koehlmoos@usuhs.edu.ORCID http://orcid.org/0000-0003-1377-8615
C TompkinsHeller Graduate School, Brandeis University, 415 South St., Waltham, MA, 02354, USA.
A NavathePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
S LipsitzDivision of General Internal Medicine and Center for Surgery and Public Health, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
N K KwonCentre for Surgery and Public Health, Brigham and Women's Hospital, Boston, USA.
P A LearnDepartment of Surgery, F. Edward Hebert School of Medicine, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
C MadsenHenry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA.
A SchoenfeldDepartment of Orthopaedic Surgery Center for Surgery and Public health Brigham and Women's Hospital Harvard Medical School, Boston, USA.
J S Weissman(Health Policy) Harvard Medical School, Center for Surgery and Public Health, Boston, USA.

Funding

Defense Health Agency HU0001-11-1-0023
6 · The paper itself

Abstract

backgroundIn the move toward value-based care, bundled payments are believed to reduce waste and improve coordination. Some commercial insurers have addressed this through the use of bundled payment, the provision of one fee for all care associated with a given index procedure. This system was pioneered by Medicare, using a population generally over 65 years of age, and despite its adoption by mainstream insurers, little is known of bundled payments' ability to reduce variation or cost in a working-age population. This study uses a universally-insured, nationally-representative population of adults aged 18-65 to examine the effect of bundled payments for five high-cost surgical procedures which are known to vary widely in Medicare reimbursement: hip replacement, knee replacement, coronary artery bypass grafting (CABG), lumbar spinal fusion, and colectomy.

methodsFive procedures conducted on adults aged 18-65 were identified from the TRICARE database from 2011 to 2014. A 90-day period from index procedure was used to determine episodes of associated post-acute care. Data was sorted by Zip code into hospital referral regions (HRR). Payments were determined from TRICARE reimbursement records, they were subsequently price standardized and adjusted for patient and surgical characteristics. Variation was assessed by stratifying the HRR into quintiles by spending for each index procedure.

resultsAfter adjusting for case mix, significant inter-quintile variation was observed for all procedures, with knee replacement showing the greatest variation in both index surgery (107%) and total cost of care (75%). Readmission was a driver of variation for colectomy and CABG, with absolute cost variation of $17,257 and $13,289 respectively. Other post-acute care spending was low overall (≤$1606, for CABG).

conclusionsThis study demonstrates significant regional variation in total spending for these procedures, but much lower spending for post-acute care than previously demonstrated by similar procedures in Medicare. Targeting post-acute care spending, a common approach taken by providers in bundled payment arrangements with Medicare, may be less fruitful in working aged populations.

Indexed as

Reimbursement MechanismsAdolescentAdultAgedArthroplasty, Replacement, HipArthroplasty, Replacement, KneeColectomyCoronary Artery BypassDiagnosis-Related GroupsFemaleHealth Care ReformHealth ExpendituresHumansMaleManaged Care ProgramsMiddle AgedBundled paymentsCABGColectomyLumbar spinal fusionMilitary medicineTotal hip replacementTotal knee replacementTRICAREValue-based care

Identifiers

PMID31752866
PMCPMC6873455

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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.