Evidence map›Paper›PMID 38820191›Full record

ArticleThe American journal of managed care2024

Interventional analytics in skilled nursing facilities associated with reduced readmissions.

Derek A Kaknes, Tanner B Barbour, Wenyan Ji, Steven M Stein, Mary D Naylor, Alexandra L Hanlon

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Article in The American journal of managed care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Derek A Kaknes
Tanner B Barbour
Wenyan Ji
Steven M Stein
Mary D Naylor
Alexandra L HanlonVirginia Polytechnic Institute and State University, 4 Riverside Circle, Roanoke, VA 24016. Email: alhanlon@vt.edu.

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
NCATS NIH HHS UL1 TR003015
6 · The paper itself

Abstract

objectiveTo assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other SNFs in Pennsylvania vs facilities in all other states. STUDY

designRetrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data.

methodsCMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively.

resultsLGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P < .0001). SNFs with IA also demonstrated superior CMS claims-based quality metric outcomes for the 12 months ending in the fourth quarter of 2022.

conclusionsSNFs implementing the studied IA platform demonstrated statistically and clinically significant superior risk-adjusted readmission rate profiles compared with peers nationally, statewide, and within the same SNF referral network (P < .0001). A more detailed study on the use of IA in this setting is warranted.

Indexed as

Patient ReadmissionSkilled Nursing FacilitiesAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesMalePennsylvaniaQuality Indicators, Health CareRetrospective StudiesUnited States

Identifiers

PMID38820191
PMCPMC12716457

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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.