MULTI-CRITERIA DECISION MAKING FOR PERFORMANCE APPRAISAL OF HEALTHCARE PROFESSIONALS: A LITERATURE REVIEW
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Rifan Eka Putra Nasution
April Yanti Pohan
Bakti Hadomuan
Julham Sihombing
Nurintan Asyiah Siregar
This literature review synthesizes contemporary evidence on the application of Multi-Criteria Decision Making (MCDM) methodologies in the performance appraisal of healthcare professionals. Traditional appraisal systems are often critiqued for their limited ability to address the multifaceted nature of healthcare practice, which encompasses clinical competence, patient safety, ethical conduct, communication, and organizational contribution. A comprehensive analysis of seven studies published between 2019 and 2025 reveals that MCDM approaches, particularly AHP, TOPSIS, VIKOR, PROMETHEE, and fuzzy-based models, have been widely employed to structure complex appraisal processes involving multiple and sometimes conflicting criteria. These methods enhance transparency, consistency, and objectivity in appraisal systems, while facilitating the integration of expert judgment and stakeholder participation. Despite these advantages, significant implementation challenges persist, including the difficulty in defining relevant performance criteria, selecting appropriate MCDM methods, and achieving consensus among evaluators. While MCDM is well established in clinical decision-making and healthcare procurement, its direct application to healthcare professional appraisal remains underexplored. Evidence suggests that well-designed MCDM-based systems can improve decision quality and support organizational improvement in healthcare settings. However, empirical data on their impact on professional satisfaction and workforce development are limited, indicating a need for further research. This review underscores the potential of MCDM as a foundational framework for modernizing performance appraisal in healthcare, and identifies critical gaps for future scholarly inquiry
Alipanah, D. M. (2025). Employee Performance Assessment Methods: A Scoping Review. Journal of Advanced Pediatrics and Child Health, 8(2), 027–030. https://doi.org/10.29328/journal.japch.1001076
Baltussen, R., Marsh, K., Thokala, P., Diaby, V., Castro, H., Cleemput, I., Garau, M., Искров, Г., Olyaeemanesh, A., Mirelman, A. J., Mobinizadeh, M., Morton, A., Tringali, M., Til, J. A. v., Valentim, J., Wagner, M., Youngkong, S., Zah, V., Toll, A., … Broekhuizen, H. (2019). Multicriteria Decision Analysis to Support Health Technology Assessment Agencies: Benefits, Limitations, and the Way Forward. Value in Health, 22(11), 1283–1288. https://doi.org/10.1016/j.jval.2019.06.014
Bibi, M., & Khan, R. A. (2021). Evaluating the Impact of Performance Appraisal on Doctor’s Task and Contextual Performance: A View of Public Sector Hospitals in Karachi, Pakistan. International Journal of Endorsing Health Science Research (Ijehsr), 9(2), 184–189. https://doi.org/10.29052/ijehsr.v9.i2.2021.184-189
Binmlafikh, M. A., Wahab, S. R. A., & Al-Osaimi, T. M. (2025). Is Performance Appraisal to Employee Performance Imperative? A Bibliometric and Systematic Literature Review. Edelweiss Applied Science and Technology, 9(6), 1689–1703. https://doi.org/10.55214/25768484.v9i6.8215
Chowdhury, P., & Paul, S. K. (2020). Applications of McDm Methods in Research on Corporate Sustainability. Management of Environmental Quality an International Journal, 31(2), 385–405. https://doi.org/10.1108/meq-12-2019-0284
Dai, Z., Xu, S.-M., Wu, X., Hu, R., Li, H., He, H., Hu, J., & Liao, X. (2022). Knowledge Mapping of Multicriteria Decision Analysis in Healthcare: A Bibliometric Analysis. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.895552
Dolatabad, M. A., Tehrani, P. N., Pourasghari, H., & Sharfafchizadeh, N. (2025). Employee Performance Appraisal Methods: A Scoping Review. https://doi.org/10.21203/rs.3.rs-7187942/v1
Ene, G.-V. B., Stoia, M. A., Cojocaru, C., & Todea, D. A. (2025). SMART Multi-Criteria Decision Analysis (MCDA)—One of the Keys to Future Pandemic Strategies. Journal of Clinical Medicine, 14(6), 1943. https://doi.org/10.3390/jcm14061943
Fei, G. C., Chen, T., & Chien, L. (2020). The Indicators of Human Capital for Hospital‐based Nursing Workforce in Taiwan. Journal of Nursing Management, 28(3), 577–585. https://doi.org/10.1111/jonm.12959
Köksalmış, G. H., Hançerlioğulları, K. Ö., Cetinguc, B., Durucu, M., & Çalışır, F. (2019). Medical Decision Making: Selection of the Appropriate Surgical Mode for Undescended Testicle Treatment. Journal of Multi-Criteria Decision Analysis, 26(3–4), 145–151. https://doi.org/10.1002/mcda.1679
Kondasani, R. K. R., Panda, R. K., & Basu, R. (2019). Better Healthcare Setting for Better Healthcare Service Quality. International Journal of Quality & Reliability Management, 36(10), 1665–1682. https://doi.org/10.1108/ijqrm-05-2018-0120
Masarroh, I. (2024). Metode Penilaian Kinerja Yang Efektif Di ASEAN : Systematic Literature Review. Ebisman, 2(4), 78–89. https://doi.org/10.59603/ebisman.v2i4.598
Nowrouzi‐Kia, B., Sithamparanathan, G., Nadesar, N., Gohar, B., & Ott, M. (2021). Factors Associated With Work Performance and Mental Health of Healthcare Workers During Pandemics: A Systematic Review and Meta-Analysis. Journal of Public Health, 44(4), 731–739. https://doi.org/10.1093/pubmed/fdab173
Nurmaesah, N., Sofia, D., & Octavia, S. (2023). Application of the AHP-TOPSIS Method as Best Employee Decision Support System. Jurnal Sisfotek Global, 13(2), 108. https://doi.org/10.38101/sisfotek.v13i2.9712
Oliveira, M. D., Mataloto, I., & Kanavos, P. (2019). Multi-Criteria Decision Analysis for Health Technology Assessment: Addressing Methodological Challenges to Improve the State of the Art. The European Journal of Health Economics, 20(6), 891–918. https://doi.org/10.1007/s10198-019-01052-3
Öztürk, N., Tozan, H., & Vayvay, Ö. (2020). A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey. International Journal of Environmental Research and Public Health, 17(10), 3608. https://doi.org/10.3390/ijerph17103608
Putro, D. P., Suryani, P. E., & Amri, S. (2025). Comparative Analysis of AHP, SAW, TOPSIS, VIKOR, and MABAC in Pharmaceutical Supplier Selection. Jurnal Transformatika, 23(1), 1–11. https://doi.org/10.26623/transformatika.v23i1.12220
Rana, W., Mukhtar, S., & Mukhtar, S. (2022). Job Satisfaction, Performance Appraisal, Reinforcement and Job Tasks in Medical Healthcare Professionals During the COVID‐19 Pandemic Outbreak. The International Journal of Health Planning and Management, 37(4), 2345–2353. https://doi.org/10.1002/hpm.3476
Sahoo, S. K., & Goswami, S. S. (2023). A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions. Decision Making Advances, 1(1), 25–48. https://doi.org/10.31181/dma1120237
Singer, H., & Özşahin, Ş. (2025). Identifying and Prioritizing Factors Affecting Doctors’ Professional Performance for Effective Performance Management: An Interval-Valued Fermatean Fuzzy Analytic Hierarchy Process Model. Journal of Health Organization and Management, 1–26. https://doi.org/10.1108/jhom-02-2024-0041
Singla, D., Saxena, B., & Mahajan, A. (2019). Inclusion of Bioethics in Performance Appraisal for Promoting Ethical Behaviour Among Doctors in Hospital. Global Bioethics Enquiry Journal, 7(3), 136. https://doi.org/10.38020/gbe.7.3.2019.136-140
Trang, T. V, & Hung, Q. (2020). Critical Success Factors of TQM Implementation in Vietnamese Supporting Industries. Journal of Asian Finance Economics and Business, 7(7), 391–401. https://doi.org/10.13106/jafeb.2020.vol7.no7.391
Vagiona, D. (2021). Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece. Energies, 14(24), 8371. https://doi.org/10.3390/en14248371
