Evidence map›Paper›PMID 24511989›Full record

ArticleThe American journal of managed care2013

Creating peer groups for assessing and comparing nursing home performance.

Margaret M Byrne, Christina Daw, Ken Pietz, Brian Reis, Laura A Petersen

Abstract read
In one paragraph

Article in The American journal of managed care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Margaret M ByrneDepartment of Epidemiology and Public Health, University of Miami, 1120 NW 14th St, Miami, FL 33136. E-mail: mbyrne2@med.miami.edu.
Christina Daw
Ken Pietz
Brian Reis
Laura A Petersen

Funding

Resource and QOL Consequences of Lung Cancer ScreeningK07CA101812 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BYRNE, MARGARET M. · 2003 to 2007
$649k
NCI NIH HHS K07 CA101812
6 · The paper itself

Abstract

backgroundPublicly reported performance data for hospitals and nursing homes are becoming ubiquitous. For such comparisons to be fair, facilities must be compared with their peers.

objectivesTo adapt a previously published methodology for developing hospital peer groupings so that it is applicable to nursing homes and to explore the characteristics of "nearest-neighbor" peer groupings. STUDY

designAnalysis of Department of Veterans Affairs administrative databases and nursing home facility characteristics.

methodsThe nearest-neighbor methodology for developing peer groupings involves calculating the Euclidean distance between facilities based on facility characteristics. We describe our steps in selection of facility characteristics, describe the characteristics of nearest-neighbor peer groups, and compare them with peer groups derived through classical cluster analysis.

resultsThe facility characteristics most pertinent to nursing home groupings were found to be different from those that were most relevant for hospitals. Unlike classical cluster groups, nearest neighbor groups are not mutually exclusive, and the nearest-neighbor methodology resulted in nursing home peer groupings that were substantially less diffuse than nursing home peer groups created using traditional cluster analysis.

conclusionIt is essential that healthcare policy makers and administrators have a means of fairly grouping facilities for the purposes of quality, cost, or efficiency comparisons. In this research, we show that a previously published methodology can be successfully applied to a nursing home setting. The same approach could be applied in other clinical settings such as primary care.

Indexed as

Peer Review, Health CareCluster AnalysisHumansModels, StatisticalNursing HomesOutcome and Process Assessment, Health CareProfessional Review OrganizationsUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID24511989
PMCPMC9980409

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.