The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting
Open accessAbstract
BACKGROUND: The Analytic Hierarchy Process (AHP), developed by Saaty in the late 1970s, is one of the methods for multi-criteria decision making. The AHP disaggregates a complex decision problem into different hierarchical levels. The weight for each criterion and alternative are judged in pairwise comparisons and priorities are calculated by the Eigenvector method. The slowly increasing application of the AHP was the motivation for this study to explore the current state of its methodology in the healthcare context. METHODS: A systematic literature review was conducted by searching the Pubmed and Web of Science databases for articles with the following keywords in their titles or abstracts: "Analytic Hierarchy Process," "Analytical Hierarchy Process," "multi-criteria decision analysis," "multiple criteria decision," "stated preference," and "pairwise comparison." In addition, we developed reporting criteria to indicate whether the authors reported important aspects and evaluated the resulting studies' reporting. RESULTS: The systematic review resulted in 121 articles. The number of studies applying AHP has increased since 2005. Most studies were from Asia (almost 30%), followed by the US (25.6%). On average, the studies used 19.64 criteria throughout their hierarchical levels. Furthermore, we restricted a detailed analysis to those articles published within the last 5 years (n = 69). The mean of participants in these studies were 109, whereas we identified major differences in how the surveys were conducted. The evaluation of reporting showed that the mean of reported elements was about 6.75 out of 10. Thus, 12 out of 69 studies reported less than half of the criteria. CONCLUSION: The AHP has been applied inconsistently in healthcare research. A minority of studies described all the relevant aspects. Thus, the statements in this review may be biased, as they are restricted to the information available in the papers. Hence, further research is required to discover who should be interviewed and how, how inconsistent answers should be dealt with, and how the outcome and stability of the results should be presented. In addition, we need new insights to determine which target group can best handle the challenges of the AHP.
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Cites
Decision making with the analytic hierarchy process
Saaty, T. L. (2008) · International Journal of Services Sciences · doi:10.1504/ijssci.2008.017590 · Cited by 10,301
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04337-3 · Cited by 5,373
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · BMC Medical Research Methodology · doi:10.1186/1471-2288-1-2 · Cited by 2,755
Bridges, J. F. P., Hauber, A. B., Marshall, D., Lloyd, A., Prosser, L. A., Regier, D. A., Johnson, F. R., & Mauskopf, J. (2011) · Value in Health · doi:10.1016/j.jval.2010.11.013 · Cited by 2,029 · cited 1×
“published a checklist that contains recommendations for conducting conjoint analyses on healthcare topics on behalf of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) group [9].”
MethodDiscrete choice experiments in health economics: a review of the literature
de Bekker‐Grob, E. W., Ryan, M., & Gerard, K. (2012) · Health Economics · doi:10.1002/hec.1697 · Cited by 1,329
The analytic hierarchy process in medical and health care decision making: A literature review
Liberatore, M. J., & Nydick, R. L. (2008) · European Journal of Operational Research · doi:10.1016/j.ejor.2007.05.001 · Cited by 569
Cited by
Exploring biometric identification in FinTech applications based on the modified TAM
Wang, J. S. (2021) · Financial Innovation · doi:10.1186/s40854-021-00260-2 · Cited by 86
Metadata
- Authors
- Schmidt, K., Aumann, I., Hollander, I., Damm, K., & von der Schulenburg, J.-M. G.
- Venue
- BMC Medical Informatics and Decision Making
- Published
- 2015-12
- Volume
- 15
- Issue
- 1
- Pages
- 112-112
- ISSN
- 1472-6947 (ISSN-L)
- OpenAlex
- W2227802266
- Cited by
- 244
- References
- 6
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- gold
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- Schmidt, K., Aumann, I., Hollander, I., Damm, K., & von der Schulenburg, J.-M. G. (2015). Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-015-0234-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.