Evidence map›Paper›PMID 19739362›Full record

ArticleHealth care management science2009

Specialization and competition in healthcare delivery networks.

Vikram Tiwari, H Sebastian Heese

Abstract read
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In one paragraph

Article in Health care management science, 2009. 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
–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

2 citing papers in PubMed.

  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

2 authors.

Vikram TiwariInformation & Logistics Technology, College of Technology, University of Houston, 312, Technology II, Houston, TX 77204, USA. vtiwari@uh.edu
H Sebastian Heese

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital networks, which offer multiple services at multiple locations, are investigating strategies to fight the growing competition from specialty hospitals. Specialty hospitals focus on a selective range of profitable services, have better control over costs, and deliver higher (perceived) quality. A hospital network too can create specialized facilities; however, this may lead to the loss of sales from services that it no longer offers. Using a spatial model, we study when it is profitable for the network to specialize, and how to determine which facilities provide the greatest value through specialization. We find that a hospital network, when facing specialized competitors, can often improve its overall profitability by specializing some of its facilities; and that among its different facilities, the network's best choice for specialization is the facility that is closest to the competitor, and thus most directly affected. Interestingly, we find that the value of specialization is contingent upon the competitive pressure that the specialized competitor exerts on the network. Specializing one facility yields the greatest benefits for the network when the competitor is located at the fringe of the market, thus presenting a reduced threat to the hospital network. On the other hand, if the specialized competitor is located at the core of the network's customer base, we find that the attractiveness of specializing one facility is much smaller and that the hospital network might fare better with a strategy based on diversification, i.e., offering a full-menu of services at every facility.

Indexed as

Economic CompetitionHospital AdministrationDelivery of Health CareHospitals, SpecialHumansModels, Organizational

Identifiers

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.