Gravity Model Applications in Health Planning: Analysis of an Urban Hospital Market*

Lowe, John J.; Sen, Ashish

doi:10.1111/j.1467-9787.1996.tb01111.x

Cited by 56 publications

(32 citation statements)

References 36 publications

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“…Patient decision-making was clustered by county, which was included in creating segments. This finding matches previous reports that combined zip codes with travel times for an urban market [9].…”

Section: Market Segments Based On Previously Published Methodssupporting

confidence: 93%

“…Differences in the length of time it would take a patient to drive to the two hospitals would not be a reasonable measure of the impact of the location of patient residence on hospital choice [9], although driving time may be important for patients living far away. Consequently, when market segments were created based on location for that case study, location was represented by driving time for patients living far from the hospitals and by county of residence for patients living nearby.…”

Section: Methodology For Creating Market Segments For the Three Case mentioning

confidence: 97%

“…First, relative travel time is not a potential determinant of decision-making regarding the hospital at which a patient chooses to have surgery. Second, absolute travel time was not expected to be an important factor describing the impact of the locations of patients' residences on hospital choice [9].…”

Section: Description and Rationalementioning

confidence: 99%

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Quantifying Effect of a Hospital’s Caseload for a Surgical Specialty on That of Another Hospital Using Multi-Attribute Market Segments

Dexter

Wachtel

Sohn

et al. 2005

Health Care Manage Sci

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Inpatient and outpatient data were used to create market segments consisting of hierarchical combinations of surgical procedure, then type of payer, and then location of patients' residences. The competitive effect of one hospital's caseload for a given surgical specialty on the caseload of another hospital was determined from the numbers of patients in each segment. Earlier methods for estimating surgical competition that ignored market segments over-estimated the competitive effects of one hospital on another. Thus, results differed from those obtained previously for all types of hospital admissions. When actual market segments with homogeneous groups of patients are used, competitive effects of hospitals in the same market area are far less than expected.

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Section: Market Segments Based On Previously Published Methodssupporting

confidence: 93%

Section: Methodology For Creating Market Segments For the Three Case mentioning

confidence: 97%

See 1 more Smart Citation

Quantifying Effect of a Hospital’s Caseload for a Surgical Specialty on That of Another Hospital Using Multi-Attribute Market Segments

Dexter

Wachtel

Sohn

et al. 2005

Health Care Manage Sci

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show abstract

“…In real-world applications, it can be reasonably supposed that the distance is not the only factor to be considered in the choice, as facilities are characterized by different attractiveness profiles. In these scenarios, user behavior can be effectively described by more complex spatial interaction rules, as empirically proved by Bucklin (1971), Hodgson (1981), McLafferty (1988), Lowe and Sen (1996), Bruno and Improta (2008). Indeed, it is possible to define (on the basis of a variety of factors and a given interaction model) the utility of a facility for a given user, that can be also seen as the probability that he will select that facility.…”

Section: Ex-antementioning

confidence: 99%

Capacity management in public service facility networks: a model, computational tests and a case study

2015

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“…Although this was not a significant change, it does provide credence for a variable parameter. Lowe and Sen (1996) used a gravity model to analyze patient choice behavior. Specifically, they investigated how policy changes such as hospital closures and the restructuring of the insurance system such as universal health care would affect the spatiality of patient flows.…”

Section: New Approaches and Outlookmentioning

confidence: 99%

Hub Location Problems: The Location of Interacting Facilities

Kara

Taner

2011

International Series in Operations Research &Amp; Management Science

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), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. PrefaceThis book is the final result of a number of incidents that occurred to us while discussing location issues with colleagues at conferences. Frequently we attended presentations, in which the authors quoted the well-known references that helped to make the discipline what it is today. Upon further inquiry, though, it turned out that some of these colleagues had never actually read the original papers. We then discussed among ourselves which contributions could be credited with shaping the field. And, lo and behold, we found that we, too, had neglected to read some of the papers that form the foundation of our science. Whether it was laziness or other things that got in the way, it had become clear that something had to be done. Our first thought was to collect the original contributions (once we could agree on what they were) and reprint them. When discussing this possibility with a publisher, we immediately ran into a roadblock in the form of copyright. While this appeared to have stopped our enthusiastic effort dead in its tracks, we kept on collecting and reading what we considered original contributions.This went on until we met Camille Price, who suggested that, rather than reprinting the original contributions, we should invite some of the leaders in our field and ask them to describe the original contribution, explain and interpret it, and comment on the impact that it had to the field. This was, of course, an excellent idea, and the response by our colleagues to our pertinent requests was equally enthusiastic. What you hold in your hands is the result of this effort.In other words, the purpose of this book is to provide easy access to the main contributions to location theory. The book is organized as follows. The introductory chapter provides an overview of some of the many facets of location analysis. This is followed by contributions in the main three fields of inquiry: minisum, minimax, and covering problems. The next chapters are part of an ever-growing list of nonstandard location models: models including competitive components, those that locate undesirable facilities, those with probabilistic features, and those that allow interactions between facilities. The following chapters discuss solution techniques: after a discussion of exact and heuristic techniques, we devote an entire chapter to Weiszfeld's method, and another to Lagrangean techniques. The last chapters of this book deal with the spheres of influence that the facilities generate and that attract viii customers to them, an...

show abstract

Gravity Model Applications in Health Planning: Analysis of an Urban Hospital Market*

Cited by 56 publications

References 36 publications

Quantifying Effect of a Hospital’s Caseload for a Surgical Specialty on That of Another Hospital Using Multi-Attribute Market Segments

Quantifying Effect of a Hospital’s Caseload for a Surgical Specialty on That of Another Hospital Using Multi-Attribute Market Segments

Capacity management in public service facility networks: a model, computational tests and a case study

Hub Location Problems: The Location of Interacting Facilities

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