Evidence map›Paper›PMID 34030672›Full record

ArticleBMC health services research2021

Facility and resident characteristics associated with variation in nursing home transfers: evidence from the OPTIMISTIC demonstration project.

Justin Blackburn, Casey P Balio, Jennifer L Carnahan, Nicole R Fowler, Susan E Hickman, Greg A Sachs, Wanzhu Tu, Kathleen T Unroe

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. 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
1.5field-weighted citation impact, top 16% 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, 6 citations in OpenAlex.

  1. Article
  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

8 authors at 4 institutions in 1 country.

Justin BlackburnIndiana University Richard M. Fairbanks School of Public Health, 1050 Wishard Blvd, RG 5194, Indianapolis, IN, USA. jblackb@iu.edu.
Casey P BalioCecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC, USA.
Jennifer L CarnahanIndiana University School of Medicine, Indianapolis, IN, USA.
Nicole R FowlerIndiana University School of Medicine, Indianapolis, IN, USA.
Susan E HickmanIndiana University School of Medicine, Indianapolis, IN, USA.
Greg A SachsIndiana University School of Medicine, Indianapolis, IN, USA.
Wanzhu TuDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA.
Kathleen T UnroeIndiana University School of Medicine, Indianapolis, IN, USA.
Indiana University – Purdue University Indianapolis · USIndiana University School of MedicineRegenstrief Institute · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCenters for Medicare and Medicaid Services (CMS) funded demonstration project to evaluate financial incentives for nursing facilities providing care for 6 clinical conditions to reduce potentially avoidable hospitalizations (PAHs). The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) site tested payment incentives alone and in combination with the successful nurse-led OPTIMISTIC clinical model. Our objective was to identify facility and resident characteristics associated with transfers, including financial incentives with or without the clinical model.

methodsThis was a longitudinal analysis from April 2017 to June 2018 of transfers among nursing home residents in 40 nursing facilities, 17 had the full clinical + payment model (1726 residents) and 23 had payment only model (2142 residents). Using CMS claims data, the Minimum Data Set, and Nursing Home Compare, multilevel logit models estimated the likelihood of all-cause transfers and PAHs (based on CMS claims data and ICD-codes) associated with facility and resident characteristics.

resultsThe clinical + payment model was associated with 4.1 percentage points (pps) lower risk of all-cause transfers (95% confidence interval [CI] - 6.2 to - 2.1). Characteristics associated with lower PAH risk included residents aged 95+ years (- 2.4 pps; 95% CI - 3.8 to - 1.1), Medicare-Medicaid dual-eligibility (- 2.5 pps; 95% CI - 3.3 to - 1.7), advanced and moderate cognitive impairment (- 3.3 pps; 95% CI - 4.4 to - 2.1; - 1.2 pps; 95% CI - 2.2 to - 0.2). Changes in Health, End-stage disease and Symptoms and Signs (CHESS) score above most stable (CHESS score 4) increased the risk of PAH by 7.3 pps (95% CI 1.5 to 13.1).

conclusionsMultiple resident and facility characteristics are associated with transfers. Facilities with the clinical + payment model demonstrated lower risk of all-cause transfers compared to those with payment only, but not for PAHs.

Indexed as

MedicareNursing HomesAgedAged, 80 and overHospitalizationHumansPatient TransferSkilled Nursing FacilitiesUnited StatesAvoidable hospitalizationsLong-term careMedicareNursing facilityResident characteristics

Identifiers

PMID34030672
PMCPMC8142645
OpenAlexW3128505440

What OpenQuestion holds

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LicenceCC BY
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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.