Evidence map›Paper›PMID 36808240›Full record

ArticleJAMA network open2023

Association of Skilled Nursing Facility Ownership by Health Care Networks With Utilization and Spending.

Stanley Kalata, Ryan Howard, Adrian Diaz, Usha Nuliyahu, Andrew M Ibrahim, Hari Nathan

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 1 institution in 1 country.

Stanley KalataDepartment of Surgery, University of Michigan, Ann Arbor.
Ryan HowardDepartment of Surgery, University of Michigan, Ann Arbor.
Adrian DiazCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Usha NuliyahuCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Andrew M IbrahimDepartment of Surgery, University of Michigan, Ann Arbor.
Hari NathanDepartment of Surgery, University of Michigan, Ann Arbor.
University of Michigan–Ann Arbor · US

Funding

Health Services Research Training Years 32-36T32HS000053 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HIRTH, RICHARD A · 1992 to 2024
$7.3M
Fulfilling the Promise of Hospital Consolidation to Improve Clinical Quality and CostsR01HS028606 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Andrew Mounir Ibrahim, Hari Nathan · 2022 to 2026
$1.9M
AHRQ HHS R01 HS028606AHRQ HHS T32 HS000053
6 · The paper itself

Abstract

Importance: Health care mergers and acquisitions have increased vertical integration of skilled nursing facilities (SNFs) in health care networks. While vertical integration may result in improved care coordination and quality, it may also lead to excess utilization, as SNFs are paid a per diem rate. Objective: To determine the association of vertical integration of SNFs within hospital networks with SNF utilization, readmissions, and spending for Medicare beneficiaries undergoing elective hip replacement. Design, Setting, and Participants: This cross-sectional study evaluated 100% Medicare administrative claims for nonfederal acute care hospitals performing at least 10 elective hip replacements during the study period. Fee-for-service Medicare beneficiaries aged 66 to 99 years who underwent elective hip replacement between January 1, 2016, and December 31, 2017, with continuous Medicare coverage for 3 months before and 6 months after surgery were included. Data were analyzed from February 2 to August 8, 2022. Exposures: Treatment at a hospital within a network that also owns at least 1 SNF based on the 2017 American Hospital Association survey. Main Outcomes and Measures: Rates of SNF utilization, 30-day readmissions, and price-standardized 30-day episode payments. Hierarchical multivariable logistic and linear regression clustered at hospitals was performed with adjusting for patient, hospital, and network characteristics. Results: A total of 150 788 patients (61.4% women; mean [SD] age, 74.3 [6.4] years) underwent hip replacement. After risk adjustment, vertical SNF integration was associated with a higher rate of SNF utilization (21.7% [95% CI, 20.4%-23.0%] vs 19.7% [95% CI, 18.7%-20.7%]; adjusted odds ratio [aOR], 1.15 [95% CI, 1.03-1.29]; P = .01) and lower 30-day readmission rate (5.6% [95% CI, 5.4%-5.8%] vs 5.9% [95% CI, 5.7%-6.1%]; aOR, 0.94 [95% CI, 0.89-0.99]; P = .03). Despite higher SNF utilization, the total adjusted 30-day episode payments were slightly lower ($20 230 [95% CI, $20 035-$20 425] vs $20 487 [95% CI, $20 314-$20 660]; difference, -$275 [95% CI, -$15 to -$498]; P = .04) driven by lower postacute payments and shorter SNF length of stays. Adjusted readmission rates were particularly low for patients not sent to an SNF (3.6% [95% CI, 3.4%-3.7%]; P < .001) but were significantly higher for patients with an SNF length of stay less than 5 days (41.3% [95% CI, 39.2%-43.3%]; P < .001). Conclusions and Relevance: In this cross-sectional study of Medicare beneficiaries undergoing elective hip replacements, vertical integration of SNFs in a hospital network was associated with higher rates of SNF utilization and lower rates of readmissions without evidence of higher overall episode payments. These findings support the purported value of integrating SNFs into hospital networks but also suggest that there is room for improving the postoperative care of patients in SNFs early in their stay.

Indexed as

MedicareSkilled Nursing FacilitiesAgedCross-Sectional StudiesFemaleHealth ExpendituresHumansMaleOwnershipUnited States

Identifiers

PMID36808240
PMCPMC9941887
OpenAlexW4321370180

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.