Evidence map›Paper›PMID 20148985›Full record

ArticleHealth services research2010

Predictors of chain acquisition among independent dialysis facilities.

Alyssa S Pozniak, Richard A Hirth, Jane Banaszak-Holl, John R C Wheeler

Abstract read
In one paragraph

Article in Health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Market Consolidation and Mortality in Patients Initiating Hemodialysis.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2019
    Article
  8. Article
  9. 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

4 authors.

Alyssa S PozniakAbt Associates Inc., 55 Wheeler Street, Cambridge, MA 02138, USA. alyssa_pozniak@abtassoc.com
Richard A Hirth
Jane Banaszak-Holl
John R C Wheeler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the predictors of chain acquisition among independent dialysis providers. DATA SOURCES: Retrospective facility-level data combined from CMS Cost Reports, Medical Evidence Forms, Annual Facility Surveys, and claims for 1996-2003. STUDY

designIndependent dialysis facilities' probability of acquisition by a dialysis chain (overall and by chain size) was estimated using a discrete time hazard rate model, controlling for financial and clinical performance, practice patterns, market factors, and other facility characteristics. DATA COLLECTION: The sample includes all U.S. freestanding dialysis facilities that report not being chain affiliated for at least 1 year between 1997 and 2003. PRINCIPAL

findingsAbove-average costs and better quality outcomes are significant determinants of dialysis chain acquisition. Facilities in larger markets were more likely to be acquired by a chain. Furthermore, small dialysis chains have different acquisition strategies than large chains.

conclusionsDialysis chains appear to employ a mix of turn-around and cream-skimming strategies. Poor financial health is a predictor of chain acquisition as in other health care sectors, but the increased likelihood of chain acquisition among higher quality facilities is unique to the dialysis industry. Significant differences among predictors of acquisition by small and large chains reinforce the importance of using a richer classification for chain status.

Indexed as

Ambulatory Care FacilitiesDialysisHealth Facility MergerAdolescentAdultAgedAged, 80 and overAlgorithmsCenters for Medicare and Medicaid Services, U.S.Data CollectionFemaleForecastingHumansKidney Failure, ChronicMaleMiddle Aged

Identifiers

PMID20148985
PMCPMC2838156

What OpenQuestion holds

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Registered trials

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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.