Multi-Criteria Decision Analysis for healthcare decisions: a bibliometric study

Authors

DOI:

https://doi.org/10.29397/reciis.v18iAhead-of-Print.3996

Keywords:

Multi-Criteria Decision Analysis, Health, Healthcare decisions, Reliability, Bibliometric analysis

Abstract

Healthcare has a direct impact on human life and involves risk factors, uncertainties and preferences. The complexity and implications of actions in this area and the demand for rational and transparent decision processes has resulted in the widespread use of Multi-Criteria Decision Analysis (MCDA) methods. As such, this study aimed to conduct a bibliometric analysis of the literature on the use of MCDA in healthcare, as well as analyzing the reasons presented in the articles for selecting MCDA methods, when applicable. The study analyzed 195 articles in the Scopus and PubMed databases between 1991 and 2019. The results were presented in graphs that focused on the main objectives of the study, highlighting the fact that only 28% of the articles presented justifications for the methods chosen. Many of the justifications were not well founded. It was concluded that care is needed to ensure appropriate selection of multi-criteria methods.

Author Biographies

Smirna Marques Felinto da Silveira Fernandes, Universidade Federal Rural do Semi-Árido, Programa de Pós-Graduação em Administração. Mossoró, RN, Brazil.

Degree in Business Administration from the Universidade Federal Rural do Semi-Árido.

Renan Felinto de Farias Aires, Universidade Federal da Paraíba, Departamento de Administração. João Pessoa, PB, Brazil.

Doctoral degree in Business Administration from the Universidade Federal do Rio Grande do Norte.

References

ABDEL-BASSET, Mohamed et al. A group decision making framework based on neutrosophic TOPSIS approach for smart medical device selection. Journal of Medical Systems, London, v. 43, n. 2, p. 38-51, 2019. DOI: https://doi.org/10.1016/j.ejor.2015.06.047. Available from: https://link.springer.com/article/10.1007/s10916-019-1156-1. Accessed: 14 Jul. 2021.

ADAR, Tuba; DELICE, Elif Kılıç. New integrated approaches based on MC-HFLTS for healthcare waste treatment technology selection. Journal of Enterprise Information Management, Bradford, v. 32, n. 4, p. 688-711, 2019. DOI: https://doi.org/10.1108/JEIM-10-2018-0235. Available from: https://www.emerald.com/insight/content/doi/10.1108/JEIM-10-2018-0235/full/html. Accessed: 15 Jan. 2020.

ADUNLIN, Georges; DIABY, Vakaramoko; XIAO, Hong. Application of multicriteria decision analysis in health care: A systematic review and bibliometric analysis. Health Expectations: an international journal of public participation in health care and health policy, Oxford, v. 18, n. 6, p. 1894-1905, 2015. DOI: https://doi.org/10.1111/hex.12287. Available from: https://pubmed.ncbi.nlm.nih.gov/25327341/. Accessed: 10 Jan. 2020.

AGAPOVA, Maria et al. Using the analytic hierarchy process for prioritizing imaging tests in diagnosis of suspected appendicitis. Academic Radiology, Reston v.24, n. 5, p. 530-537, 2017. DOI: https://doi.org/10.1016/j.acra.2017.01.001. Available from: https://pubmed.ncbi.nlm.nih.gov/28363670. Accessed: 15 Abr. 2020.

AHMADI, Houssein; NILASHI, Mehrbakhsh; IBRAHIM, Othman. Organizational decision to adopt hospital information system: an empirical investigation in the case of Malaysian public hospitals. International Journal of Medical Informatics, London, v. 84, n. 3, p. 166-188, 2015. DOI: https://doi.org/10.1016/j.ijmedinf.2014.12.004. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1386505614002494. Accessed: 8 Feb. 2021.

AIRES, Renan Felinto de Farias; FERREIRA, Luciano. The rank reversal problem in multi-criteria decision making: a literature review. Pesquisa Operacional, Rio de Janeiro, v. 38, n. 2, p. 331-362, 2018. DOI: https://doi.org/10.1590/0101-7438.2018.038.02.0331. Available from: https://www.scielo.br/j/pope/a/BPwgsywPZqgctBDcfPXxczg/?lang=en. Accessed: 15 Abr. 2020.

AJMERA, Puneeta. Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method. International Journal of Health Care Quality Assurance, Bradford, v. 30, n. 8, p. 668-679, 2017. DOI: https://doi.org/10.1108/IJHCQA-05-2016-0073. Available from: https://pubmed.ncbi.nlm.nih.gov/28958199. Accessed: 13 Nov. 2021.

BADIA, Xavier et al. Patient involvement in reflective multicriteria decision analysis to assist decision making in oncology. International Journal of Technology Assessment in Health Care, Cambridge, v. 35, n. 1, p. 56-63, 2019. DOI: https://doi.org/10.1017/S0266462318003641. Available from: https://pubmed.ncbi.nlm.nih.gov/30730288. Accessed: 2 Dec. 2020.

BALTUSSEN Rob; NIESSEN, Louis. Priority setting of health interventions: the need for multi-criteria decision analysis. Cost Effectiveness and Resource Allocation, London, v. 4, n. 1, p. 14-14, 2006. DOI: https://doi.org/10.1186/1478-7547-4-14. Available from: https://resource-allocation.biomedcentral.com/articles/10.1186/1478-7547-4-14. Accessed: 22 Jan. 2020.

BAÑOS ROLDÁN, Úrsula et al. Multi-criteria decision analysis as a decision-support tool for drug evaluation: a pilot study in a pharmacy and therapeutics committee setting. International Journal of Technology Assessment in Health Care, Cambridge, v. 34, n. 5, p. 519-526, 2018. DOI: https://doi.org/10.1017/S0266462318000569. Available from: https://pubmed.ncbi.nlm.nih.gov/30348241. Accessed: 23 Dec. 2021.

BELTON, Valerie; STEWART, Theodor J. Multiple criteria decision analysis: an integrated approach. Boston: Kluwer Academic Publishers, 2002.

BLYTHE, Robin et al. Development and pilot of a multicriteria decision analysis (MCDA) tool for health services administrators. BMJ Open, London, v. 9, n. 4, p. e025752, 2019. DOI: https://doi.org/10.1136/bmjopen-2018-025752. Available from: https://bmjopen.bmj.com/content/9/4/e025752. Accessed: 15 Feb. 2021.

BOWERS, John et al. A multicriteria resource allocation model for the redesign of services following birth. BMC Health Services Research, London, v. 18, n. 1, p. 1-12, 2018. Article 656. DOI: https://doi.org/10.1186/s12913-018-3430-1. Available from: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-018-3430-1. Accessed: 13 Mar. 2020.

CARNERO, María Carmen; GOMEZ, Andrés. A multicriteria model for optimization of maintenance in thermal energy production systems in hospitals: a case study in a Spanish hospital. Sustainability, Basel, v. 9, n. 4, p. 493-534, 2017. DOI: https://doi.org/10.3390/su9040493. Available from: https://www.mdpi.com/2071-1050/9/4/493. Accessed: 24 Jul. 2020.

CARNERO, María Carmen; GOMEZ, Andrés. Optimization of maintenance in production and storage systems for domestic water. Water Resources Management, Berlin, v. 32, p. 359-380, 2018. DOI: https://doi.org/10.1007/s11269-017-1815-2. Available from: https://link.springer.com/article/10.1007/s11269-017-1815-2. Accessed: 21 Jun. 2020.

CLEEMPUT, Irina et al. A multi-criteria decision approach for ranking unmet needs in healthcare. Health Policy, Amsterdam, v. 122, n. 8, p. 878-884, 2018. DOI: https://doi.org/10.1016/j.healthpol.2018.06.010. Available from: https://pubmed.ncbi.nlm.nih.gov/29983193. Accessed: 20 Jun. 2020.

CZKESTER, Ricardo M et al. Selection of enterprise resource planning software using analytic hierarchy process. Enterprise Information Systems, London, v. 13, n. 6, p. 895-915, 2019. DOI: https://doi.org/10.1080/17517575.2019.1606285. Available from: https://www.tandfonline.com/doi/abs/10.1080/17517575.2019.1606285. Accessed: 19 Jul. 2021.

DAI, Zeqi et al. Knowledge mapping of multicriteria decision analysis in healthcare: a bibliometric analysis. Frontiers in Public Health, Lausanne, v. 10, p. 895552, 2022. DOI: https://doi.org/10.3389/fpubh.2022.895552. Available from: https://pubmed.ncbi.nlm.nih.gov/35757629/. Accessed: 7 Nov. 2024.

DANNER, Marion et al. Integrating patients' views into health technology assessment: Analytic hierarchy process (AHP) as a method to elicit patient preferences. International Journal of Technology Assessment in Health Care, Cambridge, v. 27, n. 4, p. 369-375, 2011. DOI: https://doi.org/10.1017/S0266462311000523. Available from: https://pubmed.ncbi.nlm.nih.gov/22004779. Accessed: 2 Jun. 2020.

DANG, Van Thac; WANG, Jianming; DANG, Wilson Van-Thac. An integrated fuzzy AHP and fuzzy TOPSIS approach to assess sustainable urban development in an emerging economy. International Journal of Environmental Research and Public Health, v. 16, n. 16, p. 2902-2922, 2019. DOI: https://doi.org/10.3390/ijerph16162902. Available from: https://www.mdpi.com/1660-4601/16/16/2902. Accessed: 12 Feb. 2021.

DE ALMEIDA, Adiel Teixeira; et al. Multicriteria and multiobjective models for risk, reliability and maintenance decision analysis. New York: Springer, 2015. DOI: https://doi.org/10.1007/978-3-319-17969-8. Available from: https://link.springer.com/book/10.1007/978-3-319-17969-8. Accessed: 10 Jan. 2019.

DE GRAAF, Gimon; POSTMUS, Douwe; BUSKENS, Erik. Using multicriteria decision analysis to support research priority setting in biomedical translational research projects. BioMed Research International, New York, v. 2015, n. 12, p. 1-9, 2015. DOI: https://doi.org/10.1155/2015/191809. Available from: https://pubmed.ncbi.nlm.nih.gov/26495288. Accessed: 19 Jul. 2020.

DEHE, Benjamin; BAMFORD, David. Development, test and comparison of two multiple criteria decision analysis (MCDA) models: A case of healthcare infrastructure location. Expert Systems with Applications, London, v. 42, n. 19, p. 6717-6727, 2015. DOI: https://doi.org/10.1016/j.eswa.2015.04.059. Available from: https://www.sciencedirect.com/science/article/pii/S0957417415003012. Accessed: 22 Jun. 2020.

DIABY, Vakaramoko; CAMPBELL, V. Kaitryn; GOEREE, Ron. Multi-criteria decision analysis (MCDA) in health care: a bibliometric analysis. Operations Research for Health Care, London, v. 2, n. 1-2, p. 20-24, 2013. DOI: https://doi.org/10.1016/j.orhc.2013.03.001. Available from: https://www.sciencedirect.com/science/article/abs/pii/S2211692313000027. Accessed: 7 Nov. 2024.

DOLAN James G. Patient priorities in colorectal cancer screening decisions. Health Expectations, Oxford, v. 8, n. 4, p. 334-344, 2005. DOI: https://doi.org/10.1111/j.1369-7625.2005.00348.x. Available from: https://pubmed.ncbi.nlm.nih.gov/16266421. Accessed: 19 Jul. 2019.

DONTHU, Naveen et al. How to conduct a bibliometric analysis: an overview and guidelines. Journal of Business Research, London, v. 133, p. 285-296, 2021. DOI: https://doi.org/10.1016/j.jbusres.2021.04.070. Available from: https://www.sciencedirect.com/science/article/pii/S0148296321003155. Accessed: 7 Nov. 2024.

DOUALLE, Benjamin et al. Selection method of sustainable product-service system scenarios to support decision-making during early design stages. International Journal of Sustainable Engineering, London, v. 13, n. 1, p. 1-16, 2019. DOI: https://doi.org/10.1080/19397038.2019.1660432. Available from: https://www.tandfonline.com/doi/full/10.1080/19397038.2019.1660432. Accessed: 1 Feb. 2021.

DURSUN, Mehtap; KARSAK, E. Ertugrul; KARADAYI, Melis Almula. Fuzzy group decision making for the assessment of health-care waste disposal alternatives in Istanbul. International Journal of Economics and Management Engineering, [s. l.], v. 4, n. 6, p. 1045-1049, 2010. DOI: https://doi.org/10.5281/zenodo.1075418. Available from: https://zenodo.org/record/1075418. Accessed: 19 Jul. 2019.

DURSUN, Mehtap; KARSAK, E. Ertugrul; KARADAYI, Melis Almula. A fuzzy MCDM approach for health-care waste management. International Journal of Industrial and Manufacturing Engineering, [s. l.], v. 5, n. 1, p. 176-182, 2011a. DOI: https://doi.org/10.5281/zenodo.1085221. Available from: https://zenodo.org/record/1085221/files/15532.pdf. Accessed: 19 Jul. 2019.

DURSUN, Mehtap; KARSAK, E. Ertugrul; KARADAYI, Melis Almula. Assessment of health-care waste treatment alternatives using fuzzy multi-criteria decision making approaches. Resources, Conservation and Recycling, London, v. 57, p. 98-107, 2011b. DOI: https://doi.org/10.1016/j.resconrec.2011.09.012. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0921344911001832. Accessed: 20 Jul. 2019.

EL MOKRINI, Asmae; BENABBOU, Loubna; BERRADO, Abdelaziz. Multi-criteria distribution network redesign: case of the public sector pharmaceutical supply chain in Morocco. Supply Chain Forum, London, v. 19, n. 1, p. 1-13, 2018. DOI: https://doi.org/10.1080/16258312.2018.1433436. Available from: https://www.tandfonline.com/doi/abs/10.1080/16258312.2018.1433436. Accessed: 11 Feb. 2020.

ELWYN, Glyn; EDWARDS, Adrian; KINNERSLEY, Paul. Shared decision-making in primary care: the neglected second half of the consultation. British Journal of General Practice, London, v. 49, n. 443, p. 477-482, 1999. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1313449/. Accessed: 12 Sept. 2020.

FIGUEIRA, José; GRECO, Salvatore; EHRGOTT, Matthias. Multiple Criteria Decision Analysis: state of art surveys. Boston: Springer Science, 2005.

FRAZÃO, Talita D. C. et al. Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, London, v. 18, n. 1, p. 90, 2018. DOI: https://doi.org/10.1186/s12911-018-0663-1. Available from: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0663-1. Accessed: 2 Jan. 2019.

GHANDOUR, Rula et al. Priority setting for the prevention and control of cardiovascular diseases: multi-criteria decision analysis in four eastern Mediterranean countries. International Journal of Public Health, Lausanne, v. 60, suppl. 1, p. 73-81, 2015. DOI: https://doi.org/10.1007/s00038-014-0569-3. Available from: https://pubmed.ncbi.nlm.nih.gov/24879318/. Accessed: 22 Nov. 2021.

GILLETT, Grant. Medical ethics in a multicultural context. Journal of Internal Medicine, Oxford, v. 238, n. 6, p. 531-537, 1995. DOI: https://doi.org/10.1111/j.1365-2796.1995.tb01236.x. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2796.1995.tb01236.x. Accessed: 13 Jan. 2019.

GILLETT, Grant. Clinical medicine and the quest for certainty. Social Science & Medicine, Oxford, n. 58, p. 727-738, 2004. DOI: https://doi.org/10.1016/s0277-9536(03)00224-7. Available from: https://pubmed.ncbi.nlm.nih.gov/14672589/. Accessed: 13 Jan. 2019.

GLAIZE, A. et al. Healthcare decision‐making applications using multicriteria decision analysis: A scoping review. Journal of Multi‐Criteria Decision Analysis, London, v. 26, n. 1-2, p. 62-83, 2019. DOI: https://doi.org/10.1002/mcda.1659. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/mcda.1659. Accessed: 14 Jan. 2019.

GOETGHEBEUR, Mireille M. et al. Evidence and Value: Impact on Decision Making and the EVIDEM framework and potential applications. BMC Health Services Research, London, v. 8, n. 270, p. 1-16, 2008. DOI: https://doi.org/10.1186/1472-6963-8-270. Available from: https://pubmed.ncbi.nlm.nih.gov/19102752. Accessed: 21 Jul. 2020.

GOETGHEBEUR, Mireille M. et al. Exploring values of health technology assessment agencies using reflective multicriteria and rare disease case. International Journal of Technology Assessment in Health Care, Cambridge, v. 33, n. 4, p. 504-520, 2017. DOI: https://doi.org/10.1017/S0266462317000915. Available from: https://pubmed.ncbi.nlm.nih.gov/29019295/. Accessed: 10 Aug. 2020.

GUARGA, Laura et al. Implementing reflective multicriteria decision analysis (MCDA) to assess orphan drugs value in the Catalan Health Service (CatSalut). Orphanet Journal of Rare Diseases, London, v. 14, n. 1, p. 157-156, 2019. DOI: https://doi.org/10.1186/s13023-019-1121-6. Available from: https://ojrd.biomedcentral.com/articles/10.1186/s13023-019-1121-6. Accessed: 3 Jun. 2021.

GUITOUNI, Adel; MARTEL, Jean-Marc. Tentative guidelines to help choosing an appropriate MCDA method. European Journal of Operational Research, London, v. 109, n. 2, p. 501-521, 1998. DOI: https://doi.org/10.1016/S0377-2217(98)00073-3. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0377221798000733. Accessed: 11 Apr. 2019.

GUL, Muhammet; FATIH AK, M.; GUNERI, Ali Fuat. Occupational health and safety risk assessment in hospitals: A case study using two-stage fuzzy multi-criteria approach. Human and Ecological Risk Assessment, London, v. 23, n. 2, p. 187-202, 2017. DOI: https://doi.org/10.1080/10807039.2016.1234363. Available from: https://www.tandfonline.com/doi/abs/10.1080/10807039.2016.1234363. Accessed: 15 Nov. 2021.

HANCERLIOGULLARI, Gulsah; HANCERLIOGULLARI, Kadir Oymen; KOKSALMIS, Emrah. The use of multi-criteria decision making models in evaluating anesthesia method options in circumcision surgery. BMC Medical Informatics and Decision Making, London, v. 17, n. 1, p. 14-29, 2017. DOI: https://doi.org/10.1186/s12911-017-0409-5. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260115. Accessed: 23 Aug. 2020.

HUMMEL, J. Marjan et al. Preferences for colorectal cancer screening techniques and intention to attend: a multi-criteria decision analysis. Applied Health Economics and Health Policy, Auckland, v. 11, n. 5, p. 499-507, 2013. DOI: https://doi.org/10.1007/s40258-013-0051-z. Available from: https://pubmed.ncbi.nlm.nih.gov/23979875. Accessed: 4 Feb. 2019.

HUSSAIN, Matloub; MALIK, Mohsin. Prioritizing lean management practices in public and private hospitals. Journal of Health Organization and Management, Bradford, v. 30, n. 3, p. 457-474, 2016. DOI: https://doi.org/10.1108/JHOM-08-2014-0135. Available from: https://pubmed.ncbi.nlm.nih.gov/27119397. Accessed: 24 Sept. 2020.

HUSSAIN, Matloub; MALIK, Mohsin; AL NEYADI, Hamda S. AHP framework to assist lean deployment in Abu Dhabi public healthcare delivery system. Business Process Management Journal, Bradford, v. 22, n. 3, p. 546-565, 2016. DOI: https://doi.org/10.1108/BPMJ-08-2014-0074. Available from: https://www.emerald.com/insight/content/doi/10.1108/BPMJ-08-2014-0074/full/html. Accessed: 5 Feb. 2021.

KAPLAN, Robert M.; FROSCH, Dominick L. Decision making in medicine and health care. Annual Review of Clinical Psychology, Palo Alto, v. 1, p. 525-556, 2005. DOI: https://doi.org/10.1146/annurev.clinpsy.1.102803.144118. Available from: https://pubmed.ncbi.nlm.nih.gov/17716098/. Accessed: 12 Apr. 2019.

KARIMI, Milad et al. Evaluating complex health and social care program using Multi-Criteria Decision Analysis: a case study of "better together in Amsterdam North". Value in Health, Malden, v. 24, n. 7, p. 966-975, 2021. DOI: https://doi.org/10.1016/j.jval.2021.02.007. Available from: https://pubmed.ncbi.nlm.nih.gov/34243840/. Accessed: 7 Nov. 2024.

KULAK, Osman; GUNER, Hacer Guner; SUPCILLER, Aliye Alyca. A new multi criteria decision making approach for medical imaging systems considering risk factors. Applied Soft Computing, London, v. 35, n. 1, p. 931-941, 2015. DOI: https://doi.org/10.1016/j.asoc.2015.03.004. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1568494615001477. Accessed: 23 Nov. 2020.

KURUOGLU, Emel et al. Which family physician should I choose? The analytic hierarchy process approach for ranking of criteria in the selection of a family physician. BMC Medical Informatics and Decision Making, London, v. 2015, n. 1, p. 63-71, 2015. DOI: https://doi.org/10.1186/s12911-015-0183-1. Available from: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-015-0183-1. Accessed: 10 dec. 2020.

KUZMA, Jennifer et al. An integrated approach to oversight assessment for emerging technologies. Risk Analysis, New York, v. 28, n. 5, p. 1197-1220, 2008. DOI: https://doi.org/10.1111/j.1539-6924.2008.01086.x. Available from: https://pubmed.ncbi.nlm.nih.gov/18631303/. Accessed: 2 Apr. 2019.

KWON, Sun-Hong et al. Eliciting societal preferences of reimbursement decision criteria for anti cancer drugs in South Korea. Expert Review of Pharmacoeconomics & Outcomes Research, Abingdon, v. 17, n. 4, p. 411-419, 2017. DOI: https://doi.org/10.1080/14737167.2017.1277144. Available from: https://pubmed.ncbi.nlm.nih.gov/28019130. Accessed: 22 Jul. 2021.

LA FATA, Concetta Manuela; LUPO, Toni; PIAZZA, Tommaso. Service quality benchmarking via a novel approach based on fuzzy ELECTRE III and IPA: an empirical case involving the Italian public healthcare context. Health Care Management Sciences, Bussum, v. 22, p. 106-120, 2019. DOI: https://doi.org/10.1007/s10729-017-9424-4. Available from: https://link.springer.com/article/10.1007/s10729-017-9424-4. Accessed: 19 Dec. 2021.

LASORSA, Irene et al. Multi-criteria decision analysis for the assessment of non-clinical hospital services: Methodology and case study. Operations Research for Health Care, London, v. 23, p. 100171, 2019. DOI: https://doi.org/10.1016/j.orhc.2018.08.002. Available from: https://www.sciencedirect.com/science/article/pii/S2211692317301522. Accessed: 7 Nov. 2024.

LEE, Chang Won; KWAK, N. K. Strategic enterprise resource planning in a health-care system using a multicriteria decision-making model. Journal of Medical Systems, New York, v. 35, n. 2, p. 265–275, 2011. DOI: https://doi.org/10.1007/s10916-009-9362-x. Available from: https://pubmed.ncbi.nlm.nih.gov/20703564. Accessed: 26 Sept. 2020.

LIOU, James J. H. et al. A hybrid MCDM model for improving the electronic health record to better serve client needs. Sustainability, Basel, v. 9, n. 10, p. 1819-1832, 2017. DOI: https://doi.org/10.3390/su9101819. Available from: https://www.mdpi.com/2071-1050/9/10/1819. Accessed: 3 Jul. 2021.

LIU, Hu-Chen; WU, Jing; LI, Ping. Assessment of health-care waste disposal methods using a VIKOR-based fuzzy multi-criteria decision making method. Waste Management, London, v. 33, n. 12, p. 2744-2751, 2013. DOI: https://doi.org/10.1016/j.wasman.2013.08.006. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0956053X13003796. Accessed: 12 Aug. 2020.

LIU, Hu-Chen et al. Application of interval 2-tuple linguistic MULTIMOORA method for health-care waste treatment technology evaluation and selection. Waste Management, London, v. 34, n. 11, p. 2355-2364, 2014. DOI: https://doi.org/10.1016/j.wasman.2014.07.016. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0956053X14003201. Accessed: 21 Dec. 2020.

LÓPEZ-BASTIDA, Julio. et al. Using a stated preference discrete choice experiment to assess societal value from the perspective of decision-makers in Europe. Does it work for rare diseases? Health Policy, Amsterdam, v. 123, n. 2, p. 152-158, 2019. DOI: https://doi.org/10.1186/s13023-019-1126-1. Available from: https://ojrd.biomedcentral.com/articles/10.1186/s13023-019-1126-1. Accessed: 1 Nov. 2021.

LU, Ming-Tsang; LIN, Shi-Woei; TZENG, Gwo-Hshiung. Improving RFID adoption in Taiwan's healthcare industry based on a DEMATEL technique with a hybrid MCDM model. Decision Support Systems, London, v. 56, n. 1, p. 259-269, 2013. DOI: https://doi.org/10.1016/j.dss.2013.06.006. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0167923613001772. Accessed: 23 Jul. 2020.

LU, Chao et al. Health-care waste treatment technology selection using the interval 2-Tuple Induced TOPSIS method. International Journal of Environmental Research and Public Health, Basel, v. 13, n. 6, p. 562-578, 2016. DOI: https://doi.org/10.3390/ijerph13060562. Available from: https://www.mdpi.com/1660-4601/13/6/562. Accessed: 19 Jul. 2020.

MAHFOUD, Hassana; El BARKANY, Abdellah; El BIYAALI, Ahmed. A hybrid decision-making model for maintenance prioritization in health care systems. American Journal of Applied Sciences, Dubai, v. 13, n. 4, p. 439-450, 2016. DOI: https://doi.org/10.3844/ajassp.2016.439.450. Available from: https://thescipub.com/abstract/ajassp.2016.439.450. Accessed: 2 Apr. 2021.

MARSH, Kevin; CARO, Jaime; MUSZBEEK, Noemi. Does the future belong to MCDA? ISPOR Connections, Lawrenceville, v. 18, n. 6, p. 9-11, 2012. Available from: https://michaelschlander.com/publications-2010-2014.html?file=files/downloads/publications/2012/Schlander-ISPOR-Connections-Vol18-No6-NovDec2012.pdf&cid=3100. Accessed: 10 Feb. 2019.

MARSH, Kevin et al. The use of MCDA in HTA: great potential, but more effort needed. Value in Health, Malden, v. 21, n. 4, p. 394-397, 2018. DOI: https://doi.org/10.1016/j.jval.2017.10.001. Available from: https://www.sciencedirect.com/science/article/pii/S1098301517336082. Accessed: 22 Aug. 2021.

MOHAMADI, Efat et al. Coverage decision-making for orthopedics interventions in the health transformation program in Iran: a Multiple Criteria Decision Analysis (MCDA). Shiraz E-Med Journal, s-Hertogenbosch, v. 17, n. 12, p. e40920, 2017. DOI: https://doi.org/10.17795/semj40920. Available from: https://brieflands.com/articles/semj-20476.pdf. Accessed: 3 Jul. 2020.

MUHLBACHER, Axel C. Patient-centric HTA: Different strokes for different folks. Expert Review of Pharmacoeconomics & Outcomes Research, London ,v. 15, n. 4, p. 1-7, 2015. DOI: https://doi.org/10.1586/14737167.2015.1038245. Available from: https://pubmed.ncbi.nlm.nih.gov/25896756. Accessed: 21 Jul. 2019.

MUHLBACHER, Axel C.; JUHNKE, Christin. Patient preferences versus physicians' judgement: does it make a difference in healthcare decision making?. Applied Health Economics and Health Policy, Auckland, v. 11, n. 3, p. 163-180, 2013. DOI: https://doi.org/10.1007/s40258-013-0023-3. Available from: https://pubmed.ncbi.nlm.nih.gov/23529716. Accessed: 10 Feb. 2020.

MUHLBACHER, Axel C.; KACZYNSKI, Anika. Making good decisions in healthcare with multi-criteria decision analysis: the use, current research and future development of MCDA. Applied Health Economics and Health Policy, Auckland, v. 14, n. 1, p. 29-40, 2016. DOI: https://doi.org/10.1007/s40258-015-0203-4. Available from: https://pubmed.ncbi.nlm.nih.gov/26519081. Accessed: 2 Jan. 2019.

MUNIER, Nolberto; HONTORIA, Eloy; JIMÉNEZ-SÁEZ, Fernando. Analysis of Lack of Agreement Between MCDM Methods Related to the Solution of a Problem: Proposing a Methodology for Comparing Methods to a Reference. In: MUNIER, Nolberto; HONTORIA, Eloy; JIMÉNEZ-SÁEZ, Fernando. Strategic approach in Multi-Criteria Decision Making: a practical guide for complex scenarios. Cham: Springer International Publishing, 2019. p. 203-219. DOI: https://doi.org/10.1007/978-3-030-02726-1_11. Available from: https://link.springer.com/chapter/10.1007/978-3-030-02726-1_11. Accessed: 11 Apr. 2021.

OORTWIJN, W.; BALTUSSEN, R.; JANSSEN, M. Priority setting: towards evidence-informed deliberative processes. European Journal of Public Health, Oxford, v. 28, n. suppl. 4, p. 276, 2018. DOI: https://doi.org/10.1093/eurpub/cky213.810. Available from: https://academic.oup.com/eurpub/article/28/suppl_4/cky213.810/5192125. Accessed: 19 Jul. 2021.

ÖZKAN, Aysun. Evaluation of healthcare waste treatment/disposal alternatives by using multi-criteria decision-making techniques. Waste Management & Research, London, v. 31, n. 2, p. 141-149, 2013. DOI: https://doi.org/10.1177/0734242X12471578. Available from: https://pubmed.ncbi.nlm.nih.gov/23315364/. Accessed: 11 Feb. 2020.

PADMA, T.; BALASUBRAMANIE, P. A fuzzy analytic hierarchy processing decision support system to analyze occupational menace forecasting the spawning of shoulder and neck pain. Expert Systems with Applications, London, v. 38, n .12, p. 15303-15309, 2011. DOI: https://doi.org/10.1016/j.eswa.2011.06.037. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0957417411009328. Accessed: 1 Apr. 2020.

PATHANIA, Anjali; RASOOL, Gowhar. Investigating power styles and behavioural compliance for effective hospital administration. International Journal of Health Care Quality Assurance, Bradford, v. 32, n. 6, p. 958-977, 2019. DOI: https://doi.org/10.1108/IJHCQA-02-2018-0059. Available from: https://pubmed.ncbi.nlm.nih.gov/31282263. Accessed: 19 Jul. 2021.

PELLEGRINO, Edmund D. Praxis as a keystone for the philosophy and professional ethics of medicine: the need for an arch-support: commentary on Toulmin and Wartofsky. In: CARSON, Ronald A.; BURNS, Chester R (ed.). Philosophy of Medicine and Bioethics. Dordrecht: Kluwer Academic Publishers, 1997. p. 69-84. (Philosophy and Medicine, 50). DOI: https://doi.org/10.1007/0-306-48133-2_5. Available from: https://link.springer.com/chapter/10.1007/0-306-48133-2_5. Accessed: 11 Aug. 2019.

POLMEROL, Jean-Charles.; BARBA-ROMERO, Sergio. Multicriterion decision in management: principles and practice. Boston: Kluwer Academic Publishers, 2000.

RAZAVI, S. Donya et al. Who is in and who is out? A qualitative analysis of stakeholder participation in priority setting for health in three districts in Uganda. Health Policy and Planning, Oxford, v. 34, n. 5, p. 358-369, 2019. DOI: https://doi.org/10.1093/heapol/czz049. Available from: https://pubmed.ncbi.nlm.nih.gov/31180489. Accessed: 22 Sept. 2021.

REDDY, Brian P. et al. A role for MCDA to navigate the trade-offs in the National Institute for Health and Care Excellence’s public health recommendations. Operations Research for Health Care, London, v. 23, p. 100179, 2019. DOI: https://doi.org/10.1016/j.orhc.2019.02.001. Available from: https://www.sciencedirect.com/science/article/pii/S2211692317301674. Accessed: 7 Nov. 2024.

ROY, Bernard. Multicriteria methodology for decision aiding. Boston: Springer, 1996.

RUTTEN-VAN MÖLKEN, Maureen et al. Strengthening the evidence-base of integrated care for people with multi-morbidity in Europe using Multi-Criteria Decision Analyses MCDA. International Journal of Integrated Care, London, v. 18, n. 1, 576, 2018. DOI: https://doi.org/10.1186/s12913-018-3367-4. Available from: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-018-3367-4. Accessed: 5 Nov. 2021.

SILVA, Hudson et al. Fostering responsible innovation in health: an evidence informed assessment tool for innovation stakeholders. International Journal of Health Policy and Management, Kerman, v. 10, n. 4, p. 181-191, 2021. DOI: https://doi.org/10.34172/ijhpm.2020.34. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167270. Accessed: 21 Oct. 2021.

SINUANY-STERN, Zilla et al. The location of a hospital in a rural region: the case of the Negev. Location Science, London, v. 3, n. 4, p. 255-266, 1995. DOI: https://doi.org/10.1016/0966-8349(96)00002-2. Available from: https://www.sciencedirect.com/science/article/abs/pii/0966834996000022. Accessed: 11 Jan. 2019.

SUN, Ruixiao et al. A hesitant fuzzy linguistic projection-based MABAC method for patients’ prioritization. International Journey of Fuzzy Systems, London, v. 20, p. 2144-2160, 2018. DOI: https://doi.org/10.1007/s40815-017-0345-7. Available from: https://link.springer.com/article/10.1007/s40815-017-0345-7. Accessed: 24 Jul. 2021.

SUSTERSIC, O. et al. Evaluating patients' health using a hierarchical multi-attribute decision model. The Journal of International Medical Research, Northampton, v. 37, n. 5, p. 1646-1654, 2009. DOI: https://doi.org/10.1177/147323000903700544. Available from: https://pubmed.ncbi.nlm.nih.gov/19930874/ Accessed: 1 Feb. 2019.

TARIMCILAR, M. Murat; KHAKSARI, Shahriar Z. Capital budgeting in hospital management using the analytic hierarchy process. Socio-Economic Planning Sciences, New York, v. 25, n. 1, p. 27-34, 1991. DOI: https://doi.org/10.1016/0038-0121(91)90026-n. Available from: https://pubmed.ncbi.nlm.nih.gov/10111675/. Accessed: 11 Apr. 2019.

TERVONEN, Tommi et al. MCDA swing weighting and discrete choice experiments for elicitation of patient benefit-risk preferences: a critical assessment. Pharmacoepidemiology and Drug Safety, Chichester, v. 26, n. 12, p. 1483-1491, 2017. DOI: https://doi.org/10.1002/pds.4255. Available from: https://pubmed.ncbi.nlm.nih.gov/28696023. Accessed: 13 Jul. 2021.

THOKALA, Praveen et al. Multiple criteria decision analysis for health care decision making – an introduction: Report 1 of the ispor MCDA emerging good practices task force. Value in Health, Malden, v. 19, n. 1, p. 1-13, 2016. DOI: https://doi.org/10.1016/j.jval.2015.12.003. Available from: https://pubmed.ncbi.nlm.nih.gov/26797229/. Accessed: 7 Jan. 2020.

VAN TIL, Janine et al. Does technique matter: a pilot study exploring weighting techniques for a multi-criteria decision support framework. Cost Effectiveness and Resource Allocation, London, v. 12, p. 1-11, 2014. Article 22. DOI: https://doi.org/10.1186/1478-7547-12-22. Available from: https://resource-allocation.biomedcentral.com/articles/10.1186/1478-7547-12-22. Accessed: 11 Nov. 2020.

VENHORST, Kristie et al. Multi-criteria decision analysis of breast cancer control in low and middle income countries: Development of a rating tool for policy makers. Cost Effectiveness and Resource Allocation, London, v. 12, n. 1, p. 13-23, 2014. DOI: https://doi.org/10.1186/1478-7547-12-13. Available from: https://resource-allocation.biomedcentral.com/articles/10.1186/1478-7547-12-13. Accessed: 22 Dec. 2020.

WAGNER, Monika et al. Can the EVIDEM framework tackle issues raised by evaluating treatments for rare diseases: analysis of issues and policies, and context-specific adaptation. PharmacoEconomics, Auckland, v. 34, n. 3, p. 285-301, 2016. DOI: https://doi.org/10.1007/s40273-015-0340-5. Available from: https://pubmed.ncbi.nlm.nih.gov/26547306. Accessed: 19 Jul. 2021.

WAHLSTER, Phillip et al. Exploring the perspectives and preferences for HTA across German healthcare stakeholders using a multi-criteria assessment of a pulmonar heart sensor as a case study. Health Research Policy and Systems, London, v. 13, p. 1-11, 2015. Article 24. DOI: https://doi.org/10.1186/s12961-015-0011-1. Available from: https://pubmed.ncbi.nlm.nih.gov/25928535. Accessed: 26 Sept. 2020.

WANG, Xiaojia et al. An integrated model to evaluate the impact of social support on improving self-management of type 2 diabetes mellitus. BMC Medical Informatics and Decision Making, London, v. 19, n. 1, p. 197-205, 2019. DOI: https://doi.org/10.1186/s12911-019-0914-9. Available from: https://pubmed.ncbi.nlm.nih.gov/31640691. Accessed: 20 Aug. 2021.

WANG, Xiaoting; TRIANTAPHYLLOU, Evangelos. Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega, Amsterdam, v. 36, n. 1, p. 45-63, 2008. DOI: https://doi.org/10.1016/j.omega.2005.12.003. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0305048305001696. Accessed: 11 Feb. 2019.

WATRÓBSKI, Jarosław et al. Generalised framework for multi-criteria method selection. Omega, Amsterdam, v. 86, p. 107-124, 2018. DOI: https://doi.org/10.1016/j.omega.2018.07.004. Available from: https://www.sciencedirect.com/science/article/pii/S0305048317308563. Accessed: 1 Jul. 2021.

ZANAKIS, Stelios H. et al. Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research, London, v. 107, n. 3, p. 507-529, 1998. DOI: https://doi.org/10.1016/S0377-2217(97)00147-1. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0377221797001471. Accessed: 12 Dec. 2020.

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2024-11-25

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Fernandes, S. M. F. da S., & Aires, R. F. de F. (2024). Multi-Criteria Decision Analysis for healthcare decisions: a bibliometric study. RECIIS, 18(4), 980–1001. https://doi.org/10.29397/reciis.v18iAhead-of-Print.3996

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Vol. 18 No. 4 (2024)

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