Evidence map›Paper›PMID 29047118›Full record

ArticleHealth services research2018

Modeling Community Discharge of Medicaid Nursing Home Residents: Implications for Money Follows the Person.

Zachary Hass, Mark Woodhouse, Robert Kane, Greg Arling

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2018. 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
1.5field-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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Zachary HassSchool of Nursing, Purdue University, West Lafayette, IN.ORCID 0000-0002-0743-937X
Mark WoodhouseSchool of Public Health, University of Minnesota, Minneapolis, MN.
Robert KaneSchool of Public Health, University of Minnesota, Minneapolis, MN.
Greg ArlingSchool of Nursing, Purdue University, West Lafayette, IN.
Purdue University West Lafayette · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo build and test a model that predicts community discharge probabilities for Medicaid-eligible nursing home (NH) residents who remain in the nursing home at 90 days after admission and, thus, would be candidates for the Money Follows the Person (MFP) program. DATA SOURCE: The Minimum Data Set, Medicaid Management Information Systems, and Minnesota Vital Statistics file. DATA: Cohort of 33, 590 nursing home stays that qualified for Medicaid by the 90th day of their stay from 383 Minnesota nursing homes from July 2011 to June 2013. STUDY

designMixed effects logistic regression model to predict community discharge. PRINCIPAL

findingsThe scoring system had a high level of accuracy in predicting community discharge for both the fitting and validation cohorts. Subpopulations with severe mental illness or intellectual disability were well represented across the entire score range.

conclusionsFindings are being applied in the Minnesota's MFP initiative (Moving Home Minnesota) to target Medicaid-eligible NH residents for transitioning to the community. This approach could be applied to MFP in other states.

Indexed as

Health StatusMental HealthAdultAgedAged, 80 and overAge FactorsFemaleHumansIntellectual DisabilityMaleMedicaidMental DisordersMiddle AgedMinnesotaNursing HomesPatient Dischargelong-term careMedicaidModelingmulti-levelquality improvement

Identifiers

PMID29047118
PMCPMC6056596
OpenAlexW2765965634

What OpenQuestion holds

Textmetadata
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.