A decision support method to identify target geographic markets for health care providers

Polzin, Pierre; Borges, José; Coelho, António

doi:10.1111/pirs.12167

Cited by 2 publications

(3 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The initial catchment d init is used as proposed by , 2009, 2009), Schuurman et al (2010 and Polzin et al (2014Polzin et al ( , 2016, assuming that travel times below a predetermined threshold do not present any sensible proximity impediment to utilization.…”

Section: Access Assessment Methodsmentioning

confidence: 99%

“…The two indices are first component indices constructed with principal components analysis (PCA), as explained by Polzin et al (2014Polzin et al ( , 2016, following the methodology described by Henry et al (2003), Salmond et al (2006) and Mooi & Sarstedt (2011). The relevant sets of variables were chosen with an iterative approach, following the Kaiser criterion and observing the specific criteria for the Kaiser-Meyer-Olkin (KMO) statistic, the Bartlett's Test of Sphericity, the communalities, and the percentage of the total variance attributed to the first component.…”

Section: Access Analysismentioning

confidence: 99%

“…The EKD4SFCA method provides a combined analysis of competition and access by incorporating the Herfindahl-Hirschman Index (HHI) and a market dominance identification technique in the Extended Kernel Density 2-Step Floating Catchment Area (EKD2SFCA) method (Polzin et al, 2014(Polzin et al, , 2016.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Applying an Extended Kernel Density 4-Step Floating Catchment Area Method to Identify Priority Districts to Promote New Publicly Financed Supply of Gastroenterology Exams

Polzin¹,

Borges²,

Coelho³

2017

JMS

Self Cite

View full text Add to dashboard Cite

In continental Portugal, the publicly financed supply of gastroenterology exams was limited since the end of the last century, restricted to a fixed set of private providers that was hired by the Portuguese state. This way of contracting created market entry barriers and is inefficient, since prices are administratively set. Besides, it produced access inequalities, because of the way that the supply was geographically distributed. This paper applies the Extended Kernel Density 4-Step Floating Catchment Area (EKD4SFCA) method to identify priority districts for the promotion of new supply by the state, in order to choose the appropriate way of contracting new private supply, as determined by current law, and to reduce access inequalities. The applied method enables the identification of the Portuguese regions with strong competition between health care providers and where patients' access to publicly financed gastroenterology exams is relatively low. In these regions, the state should promote public bids to stimulate new supply, exploring thereby the potential for setting lower prices and reducing access inequalities.

show abstract

Section: Access Assessment Methodsmentioning

confidence: 99%