Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting

BMC Medical Informatics and Decision Making

Volumn 15, Issue 1, 2015, Pages

  Schmidt, Katharina ^a   Aumann, Ines ^a   Hollander, Ines ^a   Damm, Kathrin ^a   Von Der Schulenburg, J Matthias Graf ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

Analytic Hierarchy Process; Methodological standards; Multi criteria decision making; Priorities; Systematic literature review

Indexed keywords

ASIA; HUMAN; MEDLINE; MOTIVATION; SYSTEMATIC REVIEW; WEB OF SCIENCE; DECISION MAKING; HEALTH SERVICES RESEARCH; PROCEDURES; STANDARDS; STATISTICS AND NUMERICAL DATA;

DECISION MAKING; HEALTH SERVICES RESEARCH; HUMANS;

EID: 84951816204     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-015-0234-7     Document Type: Review

References (117)

1. Gesetz zur Neuordnung des Arzneimittelmarktes in der gesetzlichen Krankenversicherung (Arzneimittelneuordnungsgesetz -AMNOG).
2. Hailey D, Nordwall M. Survey on the involvement of consumers in health technology assessment programs. Int J Technol Assess Health Care. 2006;22(4):497-9.
3. Buttorff C. What should be the role of patient preferences in making health care resource allocation decisions?; Available from: http://www.ispor.org/News/articles/August10/What-Should-Be-the-Role-of-Patient-Preferences.asp.
4. Bruera E, Sweeney C, Calder K, Palmer L, Benisch-Tolley S. Patient preferences versus physician perceptions of treatment decisions in cancer care. J Clin Oncol. 2001;19:2883-5.
5. Mühlbacher AC, Juhnke C. Patient preferences versus physicians' judgement: does it make a difference in healthcare decision making? Appl Health Econ Health Policy. 2013;11:163-80.
6. Gaston CM, Mitchell G. Information giving and decision-making in patients with advanced cancer: a systematic review. Soc Sci Med. 2005;61:2252-64.
7. Dolan JG. Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare. Patient. 2010;3:229-48.
8. Institute for Quality and Efficiency in Health Care. Allgemeine Methoden: Entwurf für Version 4.2 vom 18.06.2014. [November 27, 2014]; Available from: https://www.iqwig.de/download/IQWiG-Methoden-Entwurf-fuer-Version-4-2.pdf.
9. Bridges JFP, Hauber AB, Marshall D, Lloyd A, Prosser LA, Regier DA, et al. Conjoint analysis applications in health - a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value Health. 2011;14:403-13.
10. Marshall D, Bridges JFP, Hauber B, Cameron R, Donnalley L, Fyie K, et al. Conjoint Analysis Applications in Health - How are Studies being Designed and Reported?: An Update on Current Practice in the Published Literature between 2005 and 2008. The patient. 2010;3:249-56.
11. Ryan M. Using conjoint analysis to elicit preferences for health care. BMJ. 2000;320:1530-3.
12. Saaty TL. A scaling method for priorities in hierarchical structures. J Math Psychol. 1977;15:234-81.
13. Saaty TL. The analytic hierarchy process: planning, priority setting, resource allocation 1980.
14. Dolan JG. Medical decision making using the analytic hierarchy process: choice of initial antimicrobial therapy for acute pyelonephritis. Med Decis Making. 1989;9:51-6.
15. Dolan JG, Isselhardt Jr BJ, Cappuccio JD. The analytic hierarchy process in medical decision making: a tutorial. Med Decis Making. 1989;9:40-50.
16. Liberatore MJ, Nydick RL. The analytic hierarchy process in medical and health care decision making: A literature review. Eur J Oper Res. 2008;189:194-207.
17. Cook DR, Staschak S, Green WT. Equitable allocation of livers for orthotopic transplantation: an application of the Analytic Hierarchy Process. Eur J Oper Res. 1990;48:49-56.
18. Dolan JG, Bordley DR, Miller H. Diagnostic strategies in the management of acute upper gastrointestinal bleeding: patient and physician preferences. J Gen Intern Med. 1993;8:525-9.
19. Cheever MA, Allison JP, Ferris AS, Finn OJ, Hastings BM, Hecht TT, et al. The prioritization of cancer antigens: a national cancer institute pilot project for the acceleration of translational research. Clin Cancer Res. 2009;15:5323-37.
20. Joshi V, Narra VR, Joshi K, Lee K, Melson D. PACS Administrators' and Radiologists' Perspective on the Importance of Features for PACS Selection. J Digit Imaging. 2014;27:486-95.
21. de Bekker-Grob EW, Ryan M, Gerard K. Discrete choice experiments in health economics: a review of the literature. Health Econ. 2012;21:145-72.
22. Hummel M, IJzerman M (eds.). The past and future of the AHP in health care decision making; 2011.
23. Mühlbacher A, Kaczynski A. Der Analytic Hierarchy Process (AHP): Eine Methode zur Entscheidungsunterstützung im Gesundheitswesen. PharmacoEcon Ger Res Artic. 2013;11:119-32.
24. Saaty RW. The analytic hierarchy process - what it is and how it is used. Mathematical Modelling. 1987;9:161-76.
25. Dolan JG, Boohaker E, Allison J, Imperiale TF. Patients' preferences and priorities regarding colorectal cancer screening. Med Decis Making. 2013;33:59-70.
26. Pecchia L, Martin JL, Ragozzino A, Vanzanella C, Scognamiglio A, Mirarchi L, et al. User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner. BMC Med Inform Decis Mak. 2013;13:2.
27. Srdjevic B. Combining different prioritization methods in the analytic hierarchy process synthesis. Comput Oper Res. 2005;32:1897-919.
28. Saaty TL. Decision making with the analytic hierarchy process. International journal of services sciences. 2008;1:83-98.
29. Meixner O, Haas R. Wissensmanagement und Entscheidungstheorie: Mit 35 Tabellen. Wien: Facultas.wuv; 2010.
30. Forman E, Peniwati K. Aggregating individual judgments and priorities with the analytic hierarchy process. Eur J Oper Res. 1998;108:165-9.
31. Chen H, Kocaoglu DF. A sensitivity analysis algorithm for hierarchical decision models. Eur J Oper Res. 2008;185:266-88.
32. Saaty TL, Vargas LG. Sensitivity analysis in the analytic hierarchy process. In: Saaty TL, Vargas LG, editors. Decision making with the analytic network process. Boston: Springer US; 2013. p. 345-60.
33. Arbel A. Approximate articulation of preference and priority derivation. Eur J Oper Res. 1989;43:317-26.
34. Moreno-Jimenez JM, Vargas LG. A probabilistic study of preference structures in the analytic hierarchy process with interval judgments. Math Comput Model. 1993;17:73-81.
35. Sugihara K, Tanaka H. Interval evaluations in the analytic hierarchy process by possibility analysis. Computational Intell. 2001;17:567-79.
36. Triantaphyllou E, Sánchez A. A sensitivity analysis approach for some deterministic multi-criteria decision-making methods. Decis Sci. 1997;28:151-94.
37. Sowlati T, Assadi P, Paradi JC. Developing a mathematical programming model for sensitivity analysis in analytic hierarchy process. IJMOR. 2010;2:290.
38. Masuda T. Hierarchical sensitivity analysis of priority used in analytic hierarchy process. Int J of Systems Sc. 1990;21:415-27.
39. Huang Y. Enhancement on sensitivity analysis of priority in analytic hierarchy process. Int J Gen Syst. 2010;31:531-42.
40. Erkut E, Tarimcilar M. On sensitivity analysis in the analytic hierarchy process. IMA J Management Math. 1991;3:61-83.
41. Altuzarra A, Moreno-Jiménez JM, Salvador M. Consensus building in AHP-group decision making: A Bayesian approach. Oper Res. 2010;58:1755-73.
42. Wang Y, Luo Y. On rank reversal in decision analysis. Math Comput Model. 2009;49:1221-9.
43. Moher D, Schulz KF, Altman DG. The CONSORT statement. Revised recommendations for improving the quality of reports of parallel group randomized trails. BMC Med Res Methodol. 2001;1:2.
44. Moher D. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med. 2009;151:264.
45. Bi Y, Lai D, Yan H. Synthetic evaluation of the effect of health promotion: impact of a UNICEF project in 40 poor western counties of China. Public Health. 2010;124:376-91.
46. Karagiannidis A, Papageorgiou A, Perkoulidis G, Sanida G, Samaras P. A multi-criteria assessment of scenarios on thermal processing of infectious hospital wastes: a case study for Central Macedonia. Waste Manag. 2010;30:251-62.
47. Kitamura Y. Decision-making process of patients with gynecological cancer regarding their cancer treatment choices using the analytic hierarchy process. Jpn J Nurs Sci. 2010;7:148-57.
48. Smith J, Cook A, Packer C. Evaluation criteria to assess the value of identification sources for horizon scanning. Int J Technol Assess Health Care. 2010;26:348-53.
49. Taghipour H, Mohammadyarei T, Asghari Jafarabadi M, Asl HA. On-site or off-site treatment of medical waste: a challenge. J Environ Health Sci Eng. 2014;12:68.
50. Cabrera-Barona P, Murphy T, Kienberger S, Blaschke T. A multi-criteria spatial deprivation index to support health inequality analyses. Int J Health Geogr. 2015;14:11.
51. Cancela J, Fico G, Arredondo Waldmeyer MT. Using the Analytic Hierarchy Process (AHP) to understand the most important factors to design and evaluate a telehealth system for Parkinson's disease. BMC Med Inform Decis Mak. 2015;15 Suppl 3:S7.
52. Lee WC, Hung FH, Tsang KF, Tung HC, Lau WH, Rakocevic V, et al. A speedy cardiovascular diseases classifier using multiple criteria decision analysis. Sensors (Basel). 2015;15:1312-20.
53. Lu L, Cheng H, Liu X, Xie J, Li Q, Zhou T. Assessment of regional human health risks from lead contamination in Yunnan province, southwestern China. PLoS One. 2015;10:e0119562.
54. Moslehi S, Atefi Manesh P, Sarabi AA. Quality measurement indicators for Iranian Health Centers. Med J Islam Repub Iran. 2015;29:177.
55. Mühlbacher AC, Bethge S, Kaczynski A, Juhnke C. Objective Criteria in the Medicinal Therapy for Type II Diabetes: An Analysis of the Patients' Perspective with Analytic Hierarchy Process and Best-Worst Scaling. Gesundheitswesen. 2015. https://www.thieme-connect.com/DOI/DOI?10.1055/s-0034-1390474.
56. Papadopoulos A, Sioen I, Cubadda F, Ozer H, Basegmez HIO, Turrini A, et al. TDS exposure project: application of the analytic hierarchy process for the prioritization of substances to be analyzed in a total diet study. Food Chem Toxicol. 2015;76:46-53.
57. Ramezanpour B, Pronker ES, Kreijtz JHCM, Osterhaus ADME, Claassen E. Market implementation of the MVA platform for pre-pandemic and pandemic influenza vaccines: A quantitative key opinion leader analysis. Vaccine. 2015;33:4349-58.
58. Xu X, Cao Y, Luan X. Application of 4G wireless network-based system for remote diagnosis and nursing of stomal complications. Int J Clin Exp Med. 2014;7:4554-61.
59. Xu Y, Levy BT, Daly JM, Bergus GR, Dunkelberg JC. Comparison of patient preferences for fecal immunochemical test or colonoscopy using the analytic hierarchy process. BMC Health Serv Res. 2015;15:175.
60. Mühlbacher AC, Juhnke C, Kaczynski A. Patients' Priorities in the Treatment of Neuroendocrine Tumours: An Analytical Hierarchy Process. Gesundheitswesen. 2015. https://www.thieme-connect.com/DOI/DOI?10.1055/s-0035-1548932.
61. Dou L, Yin A, Hao M, Lu J. An evaluation system for financial compensation in traditional Chinese medicine services. Complement Ther Med. 2015;23:637-43.
62. Zhu Q, Liu T, Lin H, Xiao J, Luo Y, Zeng W, et al. The spatial distribution of health vulnerability to heat waves in Guangdong Province. China Glob Health Action. 2014;7:25051.
63. Hsu JC, Tang DH, Lu CY. Risk-benefit assessment of oral phosphodiesterase type 5 inhibitors for treatment of erectile dysfunction: a multiple criteria decision analysis. Int J Clin Pract. 2015;69:436-43.
64. Kadohira M, Hill G, Yoshizaki R, Ota S, Yoshikawa Y. Stakeholder prioritization of zoonoses in Japan with analytic hierarchy process method. Epidemiol Infect. 2015;143:1477-85.
65. Hsu JC, Hsieh C, Yang YK, Lu CY. Net clinical benefit of oral anticoagulants: a multiple criteria decision analysis. PLoS One. 2015;10:e0124806.
66. Jaberidoost M, Olfat L, Hosseini A, Kebriaeezadeh A, Abdollahi M, Alaeddini M, et al. Pharmaceutical supply chain risk assessment in Iran using analytic hierarchy process (AHP) and simple additive weighting (SAW) methods. J Pharm Policy Pract. 2015;8:9.
67. Hou D, Ge X, Huang P, Zhang G, Loaiciga H. A real-time, dynamic early-warning model based on uncertainty analysis and risk assessment for sudden water pollution accidents. Environ Sci Pollut Res Int. 2014;21:8878-92.
68. Hu H, Liang W, Liu M, Li L, Li Z, Li T, et al. Establishment and evaluation of a model of a community health service in an underdeveloped area of China. Public Health. 2010;124:206-17.
69. Basoglu N, Daim TU, Topacan U. Determining patient preferences for remote monitoring. J Med Syst. 2012;36:1389-401.
70. Chen L, Chan C, Lee H, Chung Y, Lai F. Development of a decision support engine to assist patients with hospital selection. J Med Syst. 2014;38:59.
71. Chung K, Chen L, Chang Y, Chang Y, Lai M. Application of the analytic hierarchy process in the performance measurement of colorectal cancer care for the design of a pay-for-performance program in Taiwan. Int J Qual Health Care. 2013;25:81-91.
72. Danner M, Hummel JM, Volz F, van Manen JG, Wiegard B, Dintsios C, et al. Integrating patients' views into health technology assessment: Analytic hierarchy process (AHP) as a method to elicit patient preferences. Int J Technol Assess Health Care. 2011;27:369-75.
73. Diaz-Ledezma C, Parvizi J. Surgical approaches for cam femoroacetabular impingement: the use of multicriteria decision analysis. Clin Orthop Relat Res. 2013;471:2509-16.
74. Joshi V, Lee K, Melson D, Narra VR. Empirical investigation of radiologists' priorities for PACS selection: an analytical hierarchy process approach. J Digit Imaging. 2011;24:700-8.
75. Lambooij MS, Hummel MJ. Differentiating innovation priorities among stakeholder in hospital care. BMC Med Inform Decis Mak. 2013;13:91.
76. Lee CW, Kwak NK. Strategic enterprise resource planning in a health-care system using a multicriteria decision-making model. J Med Syst. 2011;35:265-75.
77. Li A, Lin J. Constructing core competency indicators for clinical teachers in Taiwan: a qualitative analysis and an analytic hierarchy process. BMC Med Educ. 2014;14:75.
78. Li C, Yu C. Performance evaluation of public non-profit hospitals using a BP artificial neural network: the case of Hubei Province in China. Int J Environ Res Public Health. 2013;10:3619-33.
79. Olivieri A, Marchetti M, Lemoli R, Tarella C, Iacone A, Lanza F, et al. Proposed definition of 'poor mobilizer' in lymphoma and multiple myeloma: an analytic hierarchy process by ad hoc working group Gruppo ItalianoTrapianto di Midollo Osseo. Bone Marrow Transplant. 2012;47:342-51.
80. Page K. The four principles: can they be measured and do they predict ethical decision making? BMC Med Ethics. 2012;13:10.
81. Pecchia L, Bath PA, Pendleton N, Bracale M. Analytic Hierarchy Process (AHP) for examining healthcare professionals' assessments of risk factors. The relative importance of risk factors for falls in community-dwelling older people. Methods Inf Med. 2011;50:435-44.
82. Sharma PS, Eden KB, Guise J, Jimison HB, Dolan JG. Subjective risk vs. objective risk can lead to different post-cesarean birth decisions based on multiattribute modeling. J Clin Epidemiol. 2011;64:67-78.
83. Suner A, Celikoglu CC, Dicle O, Sokmen S. Sequential decision tree using the analytic hierarchy process for decision support in rectal cancer. Artif Intell Med. 2012;56:59-68.
84. Bahadori M, Ravangard R, Yaghoubi M, Alimohammadzadeh K. Assessing the service quality of Iran military hospitals: Joint Commission International standards and Analytic Hierarchy Process (AHP) technique. J Educ Health Promot. 2014;3:98.
85. Mok H, Zhou Y, Chen J, Gao Q. Development and validation of a convenient formula evaluating the value and applicability of medical literature in clinical practice. Pak J Med Sci. 2014;30:1377-82.
86. Reddy BP, Kelly MP, Thokala P, Walters SJ, Duenas A. Prioritising public health guidance topics in the National Institute for Health and Care Excellence using the Analytic Hierarchy Process. Public Health. 2014;128:896-903.
87. Shojaei P, Karimlou M, Nouri J, Mohammadi F, Malek Afzali H, Forouzan AS. Ranking the effects of urban development projects on social determinants of health: health impact assessment. Glob J Health Sci. 2014;6:183-95.
88. Šoltés V, Gavurová B. The functionality comparison of the health care systems by the analytical hierarchy process method. E + M 2014;17:100-17.
89. Tu C, Fang Y, Huang Z, Tan R. Application of the analytic hierarchy process to a risk assessment of emerging infectious diseases in Shaoxing city in southern China. Jpn J Infect Dis. 2014;67:417-22.
90. Hsu H, Tsai C, Chang M, Luh D. Constructing area-level indicators of successful ageing in Taiwan. Health Soc Care Community. 2010;18:70-81.
91. Lin R, Chuang C. A hybrid diagnosis model for determining the types of the liver disease. Comput Biol Med. 2010;40:665-70.
92. Ajami S, Ketabi S. Performance evaluation of medical records departments by analytical hierarchy process (AHP) approach in the selected hospitals in Isfahan: Medical records dep. & AHP. J Med Syst. 2012;36:1165-71.
93. Hilgerink MP, Hummel MJ, Manohar S, Vaartjes SR, Ijzerman MJ. Assessment of the added value of the Twente Photoacoustic Mammoscope in breast cancer diagnosis. Med Devices (Auckl). 2011;4:107-15.
94. Hummel JM, Boomkamp ISM, Steuten LMG, Verkerke BGJ, Ijzerman MJ. Predicting the health economic performance of new non-fusion surgery in adolescent idiopathic scoliosis. J Orthop Res. 2012;30:1453-8.
95. Ijzerman MJ, van Til JA, Bridges JFP. A comparison of analytic hierarchy process and conjoint analysis methods in assessing treatment alternatives for stroke rehabilitation. Patient. 2012;5:45-56.
96. Perseghin P, Marchetti M, Pierelli L, Olivieri A, Introna M, Lombardini L, et al. A policy for the disposal of autologous hematopoietic progenitor cells: report from an Italian consensus panel. Transfusion. 2014;54:2353-60.
97. Uzoka FE, Obot O, Barker K, Osuji J. An experimental comparison of fuzzy logic and analytic hierarchy process for medical decision support systems. Comput Methods Programs Biomed. 2011;103:10-27.
98. Kuruoglu E, Guldal D, Mevsim V, Gunvar T. Which family physician should I choose? The analytic hierarchy process approach for ranking of criteria in the selection of a family physician. BMC Med Inform Decis Mak. 2015;15:63.
99. Riepe MW. Clinical preference for factors in treatment of geriatric depression. Neuropsychiatr Dis Treat. 2015;11:25-31.
100. Krishnamoorthy K, Mahalingam M. Selection of a suitable method for the preparation of polymeric nanoparticles: multi-criteria decision making approach. Adv Pharm Bull. 2015;5:57-67.
101. Kunasekaran V, Krishnamoorthy K. Multi criteria decision making to select the best method for the preparation of solid lipid nanoparticles of rasagiline mesylate using analytic hierarchy process. J Adv Pharm Technol Res. 2014;5:115-21.
102. Velmurugan R, Selvamuthukumar S, Manavalan R. Multi criteria decision making to select the suitable method for the preparation of nanoparticles using an analytical hierarchy process. Pharmazie. 2011;66:836-42.
103. Wollmann D, Steiner MT, Vieira GE, Steiner PA. Evaluation of health service providers by consumers through the Analytic Hierarchy Process Method. Rev Saude Publica. 2012;46:777-83.
104. Fang L, Tung H. Comparison of nurse practitioner job core competency expectations of nurse managers, nurse practitioners, and physicians in Taiwan. J Am Acad Nurse Pract. 2010;22:409-16.
105. Maruthur NM, Joy S, Dolan J, Segal JB, Shihab HM, Singh S. Systematic assessment of benefits and risks: study protocol for a multi-criteria decision analysis using the Analytic Hierarchy Process for comparative effectiveness research. F1000Res. 2013;2:160.
106. Zhang S, Wei Z, Liu W, Yao L, Suo W, Xing J, et al. Indicators for Environment Health Risk Assessment in the Jiangsu Province of China. Int J Environ Res Public Health. 2015;12:11012-24.
107. Diaz-Ledezma C, Lichstein PM, Dolan JG, Parvizi J. Diagnosis of periprosthetic joint infection in medicare patients: Multicriteria decision analysis. Clin Orthop Relat Res. 2014;472(11):3275-84.
108. Petit J, Meurice N, Kaiser C, Maggiora G. Softening the rule of five. Where to draw the line? Bioorg Med Chem. 2012;20:5343-51.
109. Munoz DA, Nembhard HB, Kraschnewski JL. Quantifying complexity in translational research: an integrated approach. Int J Health Care Qual Assur. 2014;27:760-76.
110. Guariguata L, Whiting D, Weil C, Unwin N. The International Diabetes Federation diabetes atlas methodology for estimating global and national prevalence of diabetes in adults. Diabetes Res Clin Pract. 2011;94:322-32.
111. Maruthur NM, Joy SM, Dolan JG, Shihab HM, Singh S. Use of the analytic hierarchy process for medication decision-making in type 2 diabetes. PLoS One. 2015;10:e0126625.
112. Dyer RF, Forman EH. Group decision support with the Analytic Hierarchy Process. Decis Support Syst. 1992;8:99-124.
113. Saaty TL, Shang JS. Group decision-making: Head-count versus intensity of preference. Socio Econ Plan Sci. 2007;41:22-37.
114. Broekhuizen H, Groothuis-Oudshoorn CGM, van Til JA, Hummel JM, Ijzerman MJ. A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions. Pharmacoeconomics. 2015;33:445-55.
115. Saaty TL. How to make a decision: The analytic hierarchy process. Eur J Oper Res. 1990;48:9-26.
116. Maleki H, Zahir S. A comprehensive literature review of the rank reversal phenomenon in the analytic hierarchy process. J Multi-Crit Decis Anal. 2013;20:141-55.
117. Curran SS, Tkach VV, Overstreet RM. A new species of Homalometron (Digenea: Apocreadiidae) from fishes in the northern Gulf of Mexico. J Parasitol. 2013;99:93-101.