A new evaluation model for service quality of health care systems based on AHP and information axiom

Evaluation of service quality of public hospitals has been largely ignored by health care providers although it is vital for human life. For this, some regulations are being done by Turkish Ministry of Health to improve service quality. One of them is to construct quality teams for hospitals. The other is classification of hospitals into five groups based on their service quality and government provides promotion to hospitals based on this classifications. However, the current classification procedure is not based on an analytical method. Therefore, in the scope of this paper, service quality index has been developed in order to present a scientific basis for classification of hospitals by using multiple criteria decision making tools with respect to existing parameters in the literature. In the scope of this study, service quality parameters are determined and importance degrees of them are obtained by using analytic hierarchy process in terms of service providers and patients. Then, a formulation has been provided to obtain service quality index SQI for hospitals. A case study for public hospitals is presented to test applicability of the proposed method.

[1]  E. Ertugrul Karsak,et al.  A fuzzy multi-criteria group decision making framework for evaluating health-care waste disposal alternatives , 2011, Expert Syst. Appl..

[2]  Cheng-Ru Wu,et al.  FAHP Sensitivity Analysis for Measurement Nonprofit Organizational Performance , 2008 .

[3]  C. Kahraman,et al.  Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic h , 2005 .

[4]  Yung-Hung Wu,et al.  Integration of fuzzy set theory and TOPSIS into HFMEA to improve outpatient service for elderly patients in Taiwan , 2012, Journal of the Chinese Medical Association : JCMA.

[5]  Gülçin Büyüközkan,et al.  Strategic analysis of healthcare service quality using fuzzy AHP methodology , 2011, Expert Syst. Appl..

[6]  Jack Dowie,et al.  Integrating Evidence and Individual Preferences Using a Web-Based Multi-Criteria Decision Analytic Tool , 2011, The patient.

[7]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[8]  C. Kahraman,et al.  Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach , 2005 .

[9]  J. Dolan.  Multi-Criteria Clinical Decision Support , 2010, The patient.

[10]  N. Tang,et al.  A study of patients' expectations and satisfaction in Singapore hospitals. , 2000, International journal of health care quality assurance incorporating Leadership in health services.

[11]  Christos Lionis,et al.  An Evaluation of Patients’ Opinions of Primary Care Physicians: the Use of EUROPEP in Gaza Strip-Palestine , 2007, Journal of medical systems.

[12]  Fatma Pakdil,et al.  Patient satisfaction in a preoperative assessment clinic: an analysis using SERVQUAL dimensions , 2005 .

[13]  Rob Baltussen,et al.  Mapping of multiple criteria for priority setting of health interventions: an aid for decision makers , 2012, BMC Health Services Research.

[14]  H. Arasli,et al.  Gearing service quality into public and private hospitals in small islands: empirical evidence from Cyprus. , 2008, International journal of health care quality assurance.

[15]  E. Ertugrul Karsak,et al.  Assessment of health-care waste treatment alternatives using fuzzy multi-criteria decision making approaches , 2011 .

[16]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[17]  Rooma Roshnee Ramsaran-Fowdar,et al.  The relative importance of service dimensions in a healthcare setting. , 2008, International journal of health care quality assurance.

[18]  Abbas Alimohammadi,et al.  Hospital site selection using fuzzy AHP and its derivatives. , 2009, Journal of environmental management.

[19]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[20]  Nam P. Suh,et al.  principles in design , 1990 .

[21]  Mirna Macur,et al.  Quality in health care: possibilities and limitations of quantitative research instruments among health care users , 2011, Quality & Quantity.

[22]  Abdul Aziz Jemain,et al.  Assessing Schools’ Academic Performance Using a Belief Structure , 2012 .

[23]  F F Nobre,et al.  Multi-criteria decision making--an approach to setting priorities in health care. , 1999, Statistics in medicine.

[24]  Gülçin Büyüközkan,et al.  A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry , 2012, Expert Syst. Appl..

[25]  E. Zavadskas,et al.  Performance evaluating of rural ICT centers (telecenters), applying fuzzy AHP, SAW-G and TOPSIS Grey, a case study in Iran , 2012 .

[26]  T. Wan.  Nursing Care Quality in Nursing Homes: Cross-Sectional Versus Longitudinal Analysis , 2003, Journal of Medical Systems.

[27]  Chin-Tsai Lin,et al.  An expert system approach to assess service performance of travel intermediary , 2009, Expert Syst. Appl..

[28]  Chih-Young Hung,et al.  Comparison of fuzzy-based MCDM and non-fuzzy MCDM in setting a new fee schedule for orthopedic procedures in Taiwan's national health insurance program , 2005 .

[29]  Gwo-Hshiung Tzeng,et al.  Fuzzy MCDM approach to select service provider , 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

[30]  Chung-Hsing Yeh,et al.  A survey analysis of service quality for domestic airlines , 2002, Eur. J. Oper. Res..

[31]  Alejandra Duenas,et al.  Multiple criteria decision analysis for health technology assessment. , 2012, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[32]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[33]  Chen T. Chen,et al.  Applying Linguistic Decision-Making Method to Deal with Service Quality Evaluation Problems , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[34]  Chou Chien-Chang,et al.  Evaluating the quality of airport service using the fuzzy multi‐criteria decision‐making method: a case study of Taiwanese airports , 2012 .

[35]  Cengiz Kahraman,et al.  A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design , 2009, Expert Syst. Appl..

[36]  S. Andaleeb,et al.  Service quality perceptions and patient satisfaction: a study of hospitals in a developing country. , 2001, Social science & medicine.

[37]  Hanane Khoury,et al.  Bridging Health Technology Assessment (HTA) and Efficient Health Care Decision Making with Multicriteria Decision Analysis (MCDA) , 2012, Medical decision making : an international journal of the Society for Medical Decision Making.

[38]  Suh Nam-pyo,et al.  Complexity: Theory and Applications , 2005 .

[39]  A. I. Ölçer,et al.  A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem , 2005, Eur. J. Oper. Res..

[40]  Gwo-Hshiung Tzeng,et al.  A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP , 2011 .

[41]  Cengiz Kahraman,et al.  Structuring ship design project approval mechanism towards installation of operator-system interfaces via fuzzy axiomatic design principles , 2010, Inf. Sci..