Evidence map›Paper›PMID 28479081›Full record

ArticleGeriatric nursing (New York, N.Y.)

Identifying distinct risk profiles to predict adverse events among community-dwelling older adults.

Melissa O'Connor, Alexandra Hanlon, Elizabeth Mauer, Salimah Meghani, Ruth Masterson-Creber, Sherry Marcantonio, Ken Coburn, Janet Van Cleave, Joan Davitt, Barbara Riegel and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Geriatric nursing (New York, N.Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Melissa O'ConnorNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA; Villanova University, College of Nursing, USA. Electronic address: Melissa.oconnor@villanova.edu.
Alexandra HanlonNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA.
Elizabeth MauerDepartment of Healthcare Policy & Research, Weill Cornell Medicine, USA.
Salimah MeghaniNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA.
Ruth Masterson-CreberColumbia University, School of Nursing, USA.
Sherry MarcantonioHealth Quality Partners, LLC, USA.
Ken CoburnHealth Quality Partners, LLC, USA.
Janet Van CleaveNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA; New York University, College of Nursing, USA.
Joan DavittNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA; University of Maryland, School of Social Work, USA.
Barbara RiegelNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA.
Kathryn H BowlesNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA; Center for Home Care Research and Policy, Visiting Nurse Service of New York, USA.
Susan KeimNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA.
Sherry A GreenbergNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA; New York University, College of Nursing, USA.
Justine S SefcikNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA.
Maxim TopazHarvard Medical School, USA.
Dexia KongNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA.
Mary NaylorNewCourtland Center for Transitions in Health, University of Pennsylvania School of Nursing, USA.

Funding

Individualized Care for At Risk Older AdultsT32NR009356 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Lauren M Massimo, MARY D NAYLOR · 2007 to 2026
$7.8M
A mixed methods observational study of persistent vocalizations in nursing home residents with moderate to severe dementiaF31NR015693 · NINR · UNIVERSITY OF PENNSYLVANIA · PI SEFCIK, JUSTINE SUZETTE · 2015 to 2016
$50k
NINR NIH HHS F31 NR015693NINR NIH HHS T32 NR009356
6 · The paper itself

Abstract

Preventing adverse events among chronically ill older adults living in the community is a national health priority. The purpose of this study was to generate distinct risk profiles and compare these profiles in time to: hospitalization, emergency department (ED) visit or death in 371 community-dwelling older adults enrolled in a Medicare demonstration project. Guided by the Behavioral Model of Health Service Use, a secondary analysis was conducted using Latent Class Analysis to generate the risk profiles with Kaplan Meier methodology and log rank statistics to compare risk profiles. The Vuong-Lo-Mendell-Rubin Likelihood Ratio Test demonstrated optimal fit for three risk profiles (High, Medium, and Low Risk). The High Risk profile had significantly shorter time to hospitalization, ED visit, and death (p < 0.001 for each). These findings provide a road map for generating risk profiles that could enable more effective targeting of interventions and be instrumental in reducing health care costs for subgroups of chronically ill community-dwelling older adults.

Indexed as

Independent LivingOutcome Assessment, Health CareChronic DiseaseEmergency Service, HospitalFemaleHospitalizationHumansMaleMedicareRisk AssessmentUnited StatesChronic illnessCommunity-dwelling older adultsLatent class analysisNurse care management modelRisk profiles

Identifiers

PMID28479081
PMCPMC5991797

What OpenQuestion holds

Textmetadata
LicenceTDM
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.