Hospital strategy and financial performance

Eastaugh, Steven R.

doi:10.1097/00004010-199201730-00004

Cited by 14 publications

(12 citation statements)

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“…However, one study in which defenders vastly outperformed analyzers and prospectors obtained different results [22]. As shown in Table 1, only a few studies have reported results for the reactor strategy [20,22,28]. Excluding reactors from the analysis is, in a sense, consistent with Miles and Snow's predictions that reactors perform most poorly because they lack a consistent strategy and merely react to urgent pressures.…”

Section: Performance Differences Across Strategy Typesmentioning

confidence: 52%

“…Some studies have proposed adaptations of the original strategy types, such as by differentiating two types of analyzers or prospectors [22,26]. These attempts have remained unique and have not been followed in further research.…”

Section: Strategy Types and Sharesmentioning

confidence: 99%

“…The majority of studies thereby identify prospectors as being the highest performers, largely by measuring performance in terms of profitability [19,20,23,[26][27][28]. However, one study in which defenders vastly outperformed analyzers and prospectors obtained different results [22]. As shown in Table 1, only a few studies have reported results for the reactor strategy [20,22,28].…”

Section: Performance Differences Across Strategy Typesmentioning

confidence: 99%

“…1. In adapting the items to the hospital industry context, we deliberately accounted for Eastaugh's [22] findings that diversification in health-unrelated business lines is unadvisable. Thus, we focused on prospective behavior in related service and market developments.…”

Section: Measurementmentioning

confidence: 99%

See 3 more Smart Citations

Extending Miles & Snow's strategy choice typology to the German hospital sector

Helmig

Hinz²,

Ingerfurth

2014

Health Policy

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Section: Performance Differences Across Strategy Typesmentioning

confidence: 52%

Section: Strategy Types and Sharesmentioning

confidence: 99%

Section: Performance Differences Across Strategy Typesmentioning

confidence: 99%

Section: Measurementmentioning

confidence: 99%

See 2 more Smart Citations

Extending Miles & Snow's strategy choice typology to the German hospital sector

Helmig

Hinz²,

Ingerfurth

2014

Health Policy

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“…기존 연구 (Farley, 1989 ;Eastaugh, 1992a ;Dayhoff와 Cromwell, 1993 ;Zwanziger 등, 1996) (Farley, 1989 ;Farley와 Hogan, 1990 ;Eastaugh, 1992a ;Eastaugh, 1992b ;Eastaugh, 2001 ;Eastaugh, 2006 ;Dayhoff와 Cromwell, 1993 ;이광수와 전기홍, 2008 …”

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confidence: 99%

The Trend of the Specialization of Hospitals in 2003 to 2005 in Metropolitan Cities

Lee¹,

Chun²

2010

Korean Journal of Health Policy and Administration

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Three measures of hospital service mix, focusing on the specialization of services, were applied: information theory index, internal Herfindahl index, and number of distinct diagnosis-related groups (DRGs) treated. National Health Insurance claims were used to calculate the indexes. Specialization indexes were calculated in each year, and then examined to identify the pattern over time. Kappa analysis was applied to assess the agreements of specialization score between two years after hospitals were categorized

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Does DRG funding encourage hospital specialization? Evidence from the Italian National Health Service

Pessina

Nieddu

Rizzo

2018

Health Planning & Management

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Summary The impact of diagnosis‐related group (DRG)‐based funding has been analyzed along a wide range of dimensions. Its effects on hospital specialization, however, have been investigated only sparsely. This paper examines such effects in the context of the Italian National Health Service, where decentralization has produced a significant degree of variation in funding arrangements. To this end, a 9‐year panel data set covering 762 Italian public and private hospitals was analyzed using a finite mixture model approach. Hospital specialization was measured by the internal Herfindahl‐Hirschman Index. Three variables were introduced as proxies for the choices made by Italian Regions with respect to the development and use of their DRG systems. The best finite mixture model identified three groups of hospitals, two of which sizeable. Of these, one included nearly all public hospitals, while the other was composed almost exclusively of small and medium‐sized investor‐owned hospitals. Averagely, private and smaller hospitals showed a stronger tendency to specialize over time. The positive impact of DRG funding on the hospitals' propensity to specialize found only limited empirical support. Moreover, it emerged as comparatively much smaller for public hospitals vis à vis private ones.

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Hospital strategy and financial performance

Cited by 14 publications

References 0 publications

Extending Miles & Snow's strategy choice typology to the German hospital sector

Extending Miles & Snow's strategy choice typology to the German hospital sector

The Trend of the Specialization of Hospitals in 2003 to 2005 in Metropolitan Cities

Does DRG funding encourage hospital specialization? Evidence from the Italian National Health Service

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