ahp case 01 hospital location
TRANSCRIPT
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Outline
1. Introduction
2. Literature review
3. AHP methodology
4. Case implementation
5. Selecting the optimal location of hospitals to
ensure a competitive advantage6. Conclusions
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Implementation of the National HealthInsurance scheme in Taiwan since 1995 hasintensified competition in the local medicalsector.
Given elevated living standards islandwide,
Taiwanese residents have become more healthconscious and attach increasing importance toquality healthcare. Heightened consumer demand in the quality and
scope of medical services.
Introduction
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Introduction
The medical service sector has improved itsorganizational structure and encouragedhospitals to establish management practices thatwould increase their competitiveness.
In such an intensely competitive environment,
selecting the optimal location of hospitals to beestablished is of priority concern.
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Introduction
In considering where to select a location, besideslegislation restrictions, policymakers andbusiness groups seldom consider how selectingthe optimal location during the decision-makingprocess could possibly affect its competitiveness.
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Introduction
Health plan of 1984 .. & Aging -> more newhospitals ->fierce competition in medical servicesector->impact of wrong location decision
Selecting the optimal location for a hospital interms of competitiveness involves the various
hospital types in Taiwan, devising appropriateevaluation criteria and categorizing hospitalsaccording to those evaluation criteria.
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Introduction
Despite the considerable attention paid toselecting an optimal location for medical carefacilities, establishing a hospital must strictlycomply with governmental regulations, oftencausing decision makers to overlook the
importance of selecting an optimal location.
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Introduction
This study adopts the renowned diamond modelintroduced in Porters The CompetitiveAdvantage of Nations (1990) that influences howcompetitive advantages, especially with respectto developing and evaluating the objectives of
optimal location selection, are related in order todevise a standardized operational procedure.
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Introduction
Besides a literature reviewand interviewswith experts, this study also adopts themodified Delphi method, the analytichierarchy process (AHP) and thesensitivity analysis to develop an evaluation
method for selecting the optimal location of aregional hospital in Taiwan to determine itseffectiveness.
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Introduction
The proposed evaluation criterion provides avaluable reference for hospital administratorsand academic in establishing a standardizedmeans of selecting the optimal location for newmedical care facilities.
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Literature review
Porters diamond model
Porters diamond model comprises six elements;four country-specific determinants (i.e. Factorconditions, Demand conditions, Firm strategy,structure and rivalry and Related and supporting
industries) and two external variables, (i.e.chance and government).
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Literature review
Location theory
Weber (1909) proposed the position problems ofa factory. Early location theory focused mainlyon the production of raw materials and selling tomarkets in order to determine a factorys
optimal position by minimizing transportationcosts.
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Literature review
Plant location research can be categorized intothree perspectives such as:
1. Prescriptive, i.e. how to make plant-location-related decisions.
2. Nation-based, i.e., what a nation should do
to attract overseas firms to locate domestically3. Customer-based business, i.e. what criteria
are adopted to make plant-location-relateddecisions
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AHP Methodology
Skipped. Please refer to the original paper:
Wu, C.-R., Lin, C.-T., & Chen, H.-C. (2007).
Optimal selection of location for Taiwanesehospitals to ensure competitive advantage byusing the analytic hierarchy process andsensitivity analysis.Building and Environment
42, 1431-1444.
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Case implementation
An AHP-based evaluation model can bedeveloped for selecting the optimal location of
hospitals to ensure a competitive advantage viathe following steps:
Step 1: Define the evaluative criteria forselecting the optimal location of hospitals toensure a competitive advantage.
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Case implementation
Step 2: Establish a hierarchical structure. On thebasis of the modified Delphi method, acquire
important indicators into a hierarchy ofinterrelated decision elements, including goal,criteria, sub-criteria and alternatives.
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Case implementation
Step 3: Establish the pair-wise comparisonmatrix. Each decision maker makes a pair-wise
comparison of the decision elements and assignsthem relative scores.
Step 4: Calculate the eigenvalue and eigenvectorof each pair-wise comparison matrix.
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Case implementation
Step 5: Test the consistency of each comparisonmatrix.
Step 6:Aggregate the related scores provided byall decision makers using the geometric mean
method, and then estimate the relative weightsof the relative weights of the weight of theelements of each level.
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Case implementation
Step 7: Combine the relative weights of theelements of each level to select the optimal
location for hospitals to ensure a competitiveadvantage.
Step 8: Sensitivity analysis of three locationselection areas under six criteria.
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Case implementation
According to governments data, among thesethree geographical position, Taiping City is the
biggest land area. The most of populationnumber is in Dali City. The east district ofTaichung City was economically developed andmetropolis lively area.
So, the selective regions for establishing hospitalcan be considered East district of Taichung City,Taiping City, and Dali City.
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Case implementation
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Selecting the optimal location of hospitals
to ensure a competitive advantage Step 1: Define the evaluative criteria and sub-
criteria used to select the optimal location ofhospitals to ensure a competitive advantage. The modified Delphi method is applied to define
the evaluation criteria and sub-criteria. Murry and Hammons (1995) suggested that the
modified Delphi method must summarize expert
opinions on a range from 10 to 30. Seventeen hospital administrators and academics arethen issued a preliminary questionnaire in which sixevaluation criteria and 18 evaluation sub-criteria are incorporated.
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Selecting the optimal location of hospitals
to ensure a competitive advantage
1. Factor conditions(1) Capital: for building a hospital capital is required.
(2) Labor: demand for hospital personnel, including
physicians, pharmacists, healthcare personnel,dieticians, registered professional nurses, medicalequipment technicians, medical care talent, as wellas the quality and quantity of specialized talentedindividuals.
(3) Land: how the land obtained will affect the cost;the plan as to how the land is used; and theappropriate disposition to avoid a situation inwhich land is unavailable when hospital expansion
occurs in the future.
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Selecting the optimal location of hospitals
to ensure a competitive advantage
2. Demand(1) Population number: the demand for medical
services varies according to the local population.For instance, the demand for medical services is
greater in metropolitan areas than in rural areas.(2) Population density: hospital scale and rank(district hospital, regional hospital and medicalcenter) must correspond to the population densityof the region, such as Taipei with a highly densepopulation.
(3) Population age distribution: type of illness ofhospital patients (acute, chronic, faculty orsynthesis) must correspond to the distribution ofpopulation age. For instance, ex, the area with lowratio of old age population suits to set up the
women and children hospital.
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Selecting the optimal location of hospitals
to ensure a competitive advantage
3. Firm strategy, structure and rivalry(1) Management objective: hospital administrators establish
a mission for the hospital to continue management practices.
(2) Rank of competing: medical centers, regional hospitals
and district hospitals for both Western and Chinesemedicine, depending on their number and scale, affect howhospitals rank in position.
(3) Policymakers attitude: individuals include the board ofdirectors (administrators), consultants (including hospital
management and financial personnel) and other relatedprofessionals such as architects have opinions towardsmanagements style, such as an authoritative or a benevolentone.
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Selecting the optimal location of hospitals
to ensure a competitive advantage4. Related and supporting industries(1) The medicine practice and the pharmaceutical
sector: the medicine practice includes biochemistrytechnology, cultivation of medical personnel andrelated industrial development. The pharmaceuticalsector includes medical instrumentation,pharmaceuticals and medicinal preparation, medicinalcosmetics and related industrial development.
(2) Hospital administration sector: this area includesmanagement consultants, the information technology
industry, material flow and related industrialdevelopment.(3) The healthcare sector: this area involves sustaining
community health, home caregivers, long-term care,residential caregivers, the insurance sector and relatedindustrial development.
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Selecting the optimal location of hospitals
to ensure a competitive advantage5. Government
(1) Qualifications of the hospitals establishment and theregulations of the established standard: this areaincludes establishment of the hospital. After health authorities
approve the hospital, the construction license can be appliedfor, along with related governing laws complied with.(2) Efforts to promote a medical network: in order to
promote the medical resources balanced development, thedivision medical service region, and establishes the graduationmedical service formulation. For example, lacking the regionsto the medical resources and rewarding the folk to establishmedical organizations.
(3) Promulgating tasks that require a hospitalsassessment: to strengthen the business management ofhospitals and guarantee the quality of medical service,establishing a graded medical system will influence whetherindividuals seek a physician.
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Selecting the optimal location of hospitals
to ensure a competitive advantage6. Chance
(1) Violent change in market demand: anincreasing population in this region has increasedboth hospital bed capacity and the number ofillnesses, e.g., SARS, subsequently creating adramatic fluctuation in the demand for the localmedical market.
(2) Dramatic fluctuations in production costs:this includes the global rise in the price of steeland iron or events such as an energy crisis.
(3) Significant changes in the financial marketand exchange rate: fluctuations in the debtcredit interest rate of banks or the influence ofglobal currency values incur changes in the cost ofmedical instrumentation and pharmaceuticals.
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Selecting the optimal location of hospitals
to ensure a competitive advantage
Step 2: Establish a hierarchical structure
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage Step 3: Establish the pair-wise comparison matrix
Purposive sampling is applied to sample 13 respondentsfrom various hospital administrators and academics.
The weights of level 2 criteria and level 3 sub-criteria arethen determined for a sample group of 13 individualsmatching the above characteristics with each respondent,
making a pair-wise comparison of the decision elementsand assigning them relative scores.
The relative scores provided by 13 experts are aggregatedusing the geometric mean method.
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage
Table . Aggregate pair-wise comparison matrix for criteria of level 2
Goal Factor DemandFirm
strategy
Related and
supporting
industries
Government Chance weight
Factor 1.000 0.380 0.408 3.706 0.318 2.266 0.121
Demand 2.632 1.000 0.907 4.696 0.608 3.061 0.223
Firm strategy 2.453 1.102 1.000 4.318 0.682 2.985 0.227
Related and
supporting
industries
0.270 0.213 0.232 1.000 0.2444 0.305 0.046
Government 3.148 1.645 1.466 4.099 1.000 3.378 0.296
Chance 0.441 0.327 0.335 3.275 0.296 1.000 0.086
max 6.211571; CI=0.042314; RI=1.24; CR=0.034124 0.1
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage Step 4 : Calculate the eigenvalue and eigenvector
Step 5 : Results of the consistency test and theCR of the comparison matrix from each 13experts are all 0.1, indicating consistency.
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage
Factor Capital Labor Land weight
Capital 1.000 2.261 1.414 0.464
Labor 0.442 1.000 0.587 0.201
Land 0.707 1.704 1.000 0.335
max3.000449332; CI=0.000224666; RI=0.58; CR=0.000387355 0.1
max6.211571; CI=0.042314; RI=1.24; CR=0.034124 0.1 max 6.211571; CI=0.042314; RI=1.24; CR=0.034124 0.1
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage
Eigenvalue and CR
Factor
max
=3.00044; CI=0.00022; RI=0.58CR=0.0003870.1
Demandmax=3.00013; CI=0.000669; RI=0.58CR=0.0011540.1
Firm strategymax=3.00116; CI=0.000584; RI=0.58CR=0.0010073770.1
Related and supportingindustries
max=3.000972; CI=0.000486; RI=0.58CR=0.0008380.1
Governmentmax=3.00534; CI=0.00267; RI=0.58CR=0.0046060.1
Chancemax=3.00128; CI=0.000643; RI=0.58
CR=0.001108
0.1
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage
Step 6 : Estimate the relative weights of the
elements of each level.
Step 7 : Calculate the weights of overall levels
Step 8:Sensitivity analysis of three locationselection areas under six criteria
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Sensitivity analysis The performance graph displays how the
alternatives perform with respect to the change
in scenario of all parameters.
East district of Taichung city
Taiping cityDali city
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Sensitivity analysis Performance sensitivity of alternatives when
related and supporting industries (Rsi) is
increased by 25%
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Sensitivity analysis Performance sensitivity of alternatives when
Change (Ca) is increased by 30%
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Sensitivity analysis Performance sensitivity of alternatives when
Government (Gv) is increased by 20%
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage
Criteria Sub-criteriaWeights of sub-
criteriaEast district ofTaichung city Taiping city Dali city
Factor
Capital 0.464 0.239 0.137 0.624
Labor 0.201 0.51 0.127 0.364
Land 0.335 0.616 0.118 0.267
Synthesis
0.42
0.129
0.452
Demand
Population number 0.197 0.25 0.123 0.627
Population density 0.274 0.552 0.119 0.329
Population agedistribution
0.529 0.504 0.128 0.368
synthesis 0.467 0.125 0.408
Table. Eigen vectors and weights of three location selection areas under 18 sub-criteria
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage
Criteria Sub-criteriaWeights of sub-
criteriaEast district ofTaichung city
Taiping city Dali city
Firm strategy
Management object 0.166 0.24 0.129 0.631
Rank of competinghospitals
0.266 0.55 0.124 0.326
The healthcaresector
0.568 0.57 0.11 0.319
Synthesis 0.51 0.117 0.373
Related andsupportingindustries
The medicinepractice and the
pharmaceuticalsector
0.42 0.548 0.113 0.338
Hospitaladministration
sector0.287 0.565 0.121 0.314
The healthcaresector
0.293 0.296 0.133 0.571
Synthesis 0.479 0.121 0.399
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Selecting the optimal location of
hospitals to ensure a competitiveadvantage
Criteria Sub-criteriaWeights of sub-
criteriaEast district ofTaichung city
Taiping city Dali city
Government
Qualifications of the
hospitals establishmentand the regulations of
the established standard
0.563 0.586 0.111 0.303
Efforts to promote amedical network
0.196 0.499 0.133 0.368
Promulgating tasks thatrequire a hospitals
assessment0.242 0.332 0.143 0.526
Synthesis 0.508 0.123 0.37
Chance
Violent change inmarket demand
0.282 0.442 0.128 0.43
Dramatic fluctuations inproduction costs
0.403 0.584 0.112 0.304
Significant changes inthe financial market and
exchange rate0.314 0.369 0.145 0.486
Synthesis 0.476 0.127 0.396
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Conclusions Demand conditions, firm strategy, structure and
rivalry and government are high.
Goal The synthesis values
Factor conditions 0.121
Demand conditions 0.223
Firm strategy, structure andrivalry
0.227
Related and supportingindustries
0.046
Government 0.296
Chance 0.086
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Conclusions
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Conclusions Priorities of the three location selection areas arethe locations of the East district of Taichung city
(EDoTC), Dali City and Taiping City.