» Articles » PMID: 26703458

Applying the Analytic Hierarchy Process in Healthcare Research: A Systematic Literature Review and Evaluation of Reporting

Overview
Publisher Biomed Central
Date 2015 Dec 26
PMID 26703458
Citations 50
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Application of a Value Framework to Determine the Value of Prophylaxis Versus On-Demand Treatment in Adults with Hemophilia A in China.

Tan B, Lin A, Han R, Bai L, Sun J, Hu S Adv Ther. 2025; .

PMID: 40016439 DOI: 10.1007/s12325-025-03131-9.


Optimization of HIV drugs through MCDM technique Analytic Hierarchy Process(AHP).

Farooq F, Sultana S, Alqahtani N, Imran M PLoS One. 2025; 20(1):e0316617.

PMID: 39823527 PMC: 11741607. DOI: 10.1371/journal.pone.0316617.


Construction of the medical virtual teaching and research office evaluation system in China based on the context, input, process, product model: a Delphi study.

Xiao H, Lu Y, Huang F, Li S, Liao J BMC Med Educ. 2024; 24(1):1322.

PMID: 39558274 PMC: 11571897. DOI: 10.1186/s12909-024-06312-2.


Application of mathematical models on efficiency evaluation and intervention of medical institutions in China.

Tai Q, Wang Q, Li J, Dou N, Wu H BMC Health Serv Res. 2024; 24(1):1376.

PMID: 39529103 PMC: 11552179. DOI: 10.1186/s12913-024-11729-y.


Addressing integration in the organization of palliative care in belgium: a multilevel ecosystems approach using the analytic hierarchy process (AHP) method.

De Regge M, Gemmel P, Ackaert L, Dillen L, Pype P, Van Den Noortgate N BMC Palliat Care. 2024; 23(1):250.

PMID: 39462399 PMC: 11515222. DOI: 10.1186/s12904-024-01585-2.


References
1.
Pecchia L, Bath P, 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. 2010; 50(5):435-44. DOI: 10.3414/ME10-01-0028. View

2.
Marshall D, Bridges J, Hauber B, Cameron R, Donnalley L, Fyie K . 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. Patient. 2012; 3(4):249-56. DOI: 10.2165/11539650-000000000-00000. View

3.
Joshi V, Lee K, Melson D, Narra V . Empirical investigation of radiologists' priorities for PACS selection: an analytical hierarchy process approach. J Digit Imaging. 2010; 24(4):700-8. PMC: 3138937. DOI: 10.1007/s10278-010-9332-3. View

4.
Moher D, Schulz K, Altman D . The CONSORT statement: revised recommendations for improving the quality of reports of parallel group randomized trials. BMC Med Res Methodol. 2001; 1:2. PMC: 32201. DOI: 10.1186/1471-2288-1-2. View

5.
Zhang S, Wei Z, Liu W, Yao L, Suo W, Xing J . Indicators for Environment Health Risk Assessment in the Jiangsu Province of China. Int J Environ Res Public Health. 2015; 12(9):11012-24. PMC: 4586658. DOI: 10.3390/ijerph120911012. View