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The analytic hierarchy process in medical and health care decision making: A literature review

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  • Liberatore, Matthew J.
  • Nydick, Robert L.
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    Abstract

    This paper presents a literature review of the application of the analytic hierarchy process (AHP) to important problems in medical and health care decision making. The literature is classified by year of publication, health care category, journal, method of analyzing alternatives, participants, and application type. Very few articles were published prior to 1988 and the level of activity has increased to about three articles per year since 1997. The 50 articles reviewed were classified in seven categories: diagnosis, patient participation, therapy/treatment, organ transplantation, project and technology evaluation and selection, human resource planning, and health care evaluation and policy. The largest number of articles was found in the project and technology evaluation and selection category (14) with substantial activity in patient participation (9), therapy/treatment (8), and health care evaluation and policy (8). The AHP appears to be a promising support tool for shared decision making between patient and doctor, evaluation and selection of therapies and treatments, and the evaluation of health care technologies and policies. We expect that AHP research will continue to be an important component of health care and medical research.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 189 (2008)
    Issue (Month): 1 (August)
    Pages: 194-207

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    Handle: RePEc:eee:ejores:v:189:y:2008:i:1:p:194-207

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    Web page: http://www.elsevier.com/locate/eor

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    Cited by:
    1. Ishizaka, Alessio & Balkenborg, Dieter & Kaplan, Todd R, 2010. "Does AHP help us make a choice? - An experimental evaluation," MPRA Paper 24213, University Library of Munich, Germany.
    2. James Dolan, 2010. "Multi-Criteria Clinical Decision Support," The Patient: Patient-Centered Outcomes Research, Springer, vol. 3(4), pages 229-248, December.
    3. Musal, R. Muzaffer & Soyer, Refik & McCabe, Christopher & Kharroubi, Samer A., 2012. "Estimating the population utility function: A parametric Bayesian approach," European Journal of Operational Research, Elsevier, vol. 218(2), pages 538-547.
    4. Reyes, Pedro M. & Li, Suhong & Visich, John K., 2012. "Accessing antecedents and outcomes of RFID implementation in health care," International Journal of Production Economics, Elsevier, vol. 136(1), pages 137-150.
    5. Marjan Hummel & Fabian Volz & Jeannette Manen & Marion Danner & Charalabos-Markos Dintsios & Maarten IJzerman & Andreas Gerber, 2012. "Using the Analytic Hierarchy Process to Elicit Patient Preferences," The Patient: Patient-Centered Outcomes Research, Springer, vol. 5(4), pages 225-237, December.
    6. Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
    7. Chen, Ting-Yu & Chang, Chien-Hung & Rachel Lu, Jui-fen, 2013. "The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making," European Journal of Operational Research, Elsevier, vol. 226(3), pages 615-625.

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