Factor and Cluster Analysis as a Tool for Patient Segmentation Applied to Hospital Marketing in Jordan

DOI: 10.4236/ajor.2015.54023   PDF   HTML   XML   2,829 Downloads   3,728 Views   Citations


Hospital marketing is becoming important for the survival and the prosperity of the health service. In addition, it indirectly acts as a formal feedback channel for the customer requirements, preferences, suggestions and complaints. In this work we have undertaken a survey based marketing study for two main objectives: The first being to better understand the patient clusters through k-means clustering and the second to understand customer perception of the different known quality perspectives through factor rotated and unrotated analysis. All of the questionnaires were designed according to international studies. Based on general descriptive statistics, items classified with higher variance but important, are: clean environment, doctors and nurses capabilities, and specialized doctors. Items that are less important with low variance are: food type, lighting and insurance. Also, items classified as more important with low variance are: recommended, no mistakes, and the cost. Using factor analysis rotated and unrotated reduced the variables into five main variables described as: medical aspects, psychological aspects, cost aspects, hospital image and ease of access and procedures. Using k-means clustering, the customers can be clustered into four main clusters with two of them described as general patient with wide variety of interest, serious cases interested in specialized doctors and food, and very serious case with high stress on equipment, no mistakes.

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Al-Durgham, L. and Barghash, M. (2015) Factor and Cluster Analysis as a Tool for Patient Segmentation Applied to Hospital Marketing in Jordan. American Journal of Operations Research, 5, 293-306. doi: 10.4236/ajor.2015.54023.

Conflicts of Interest

The authors declare no conflicts of interest.


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