Structural investigation of websites of selected educational hospitals of Shiraz University of Medical Sciences from Patient Relationship Management (PRM) perspective

Authors

  • Roxana Sharifian Associate Professor, Department of Health Information Management, School of Management and Medical Information Sciences, Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Keywords:

Patient Relationship Management, Hospital Website, Structural Equation Modeling

Abstract

Background: Hospital websites are considered as an appropriate system for exchanging information and establishing communication between patients, hospitals, and medical staff. Website character, website contact interactivity, shopping convenience, as well as care and service are the factors that the present study investigated as far as the patient relationship management is concerned.

Methods: This descriptive-analytical study was conducted on 206 patients visiting Shahid Faghihi and Ali Asghar Hospitals in Shiraz, which were capable of offering electronic services. The data collection tool was a researcher-made questionnaire based on the Mekkamol model and other similar studies, as well as investigations into the websites of the world’s top hospitals. The questionnaire’s validity was approved by a committee of experts and its reliability was approved based on a 54-patient sample with a Cronbach’s alpha of 0.94. The data were analyzed using the Structural Equation Modeling (SEM) with partial least squares (PLS) approach and by utilizing SPSS and Smart-PLS V2 software programs.

Results: The results showed that there are significant relationships between “website character” and “website contact interactivity” (p=0.00), between “shopping convenience” and “website contact interactivity” (p=0.00), and between “website contact interactivity” and “care and service” (p=0.00). 

Conclusion: Website design with such characteristics as website simplicity, shopping convenience, authenticity of information, and provision of such services as admission, scheduling appointments, and electronic payment of bills will result in interaction and communication between patients and hospital websites. This will, for its turn, pave the way for attracting more patients.

References

Zeithaml VA, Lemon KN, Rust RT. Driving customer equity: How customer lifetime value is reshaping

corporate strategy. Simon and Schuster; 2001.

Karakostas B, Kardaras D, Papathanassiou E. The state of CRM adoption by the financial services in the

UK: an empirical investigation. Information & Management. 2005; 42(6): 853-63. doi:

1016/j.im.2004.08.006.

Payne A, Frow P. The role of multichannel integration in customer relationship management. Industrial

marketing management. 2004; 33(6): 527-38. doi: 10.1016/j.indmarman.

Benanti J. The physician as customer. Health prog. 1988; 69(3): 62-5. PMID: 10286453.

Kotler P. Marketing Management: Analysis, Planning, Implementation and Control. New Yersey. Prentice- Hall; 1994.

Monem H, Hussin A, Sharifian R. Comprehensive Prioritized Perspectives of CRM System for

Implementation in the Developing Countries’ Hospitals. International Journal of Computer Applications.

; 50(20): 5-12.

Oinas-Kukkonen H, Räisänen T, Hummastenniemi N. Patient relationship management: an overview and

study of a follow-up system. J Healthc Inf Manag. 2007; 22(3): 24-9. PMID: 19267028.

Siau K. Health care informatics. IEEE Transactions on Information Technology in Biomedicine. 2003;

(1): 1-7. doi: 10.1109/TITB.2002.805449.

Tan E, Untama JA, Weiershaus H, Raisinghani M. CRM Systems in German Hospitals: Illustrations of

Issues & Trends. IGI Global; 2005. doi: 10.4018/978-1-59140-673-0.ch004.

Salavati S, Hashim NH. Website adoption and performance by Iranian hotels. Tourism Management. 2015;

: 367-74. doi: 10.1016/j.tourman.2014.07.017.

Patsioura F, Kitsiou S, Markos A. Evaluation of Greek Public Hospital Websites. ICE-B; 2009.

Choi B, Hong JW, Lee C, Lee H. Deriving web usage strategies for online sales: A decision framework and

empirical exploration. Expert Systems with Applications. 2010; 37(5): 3695-705. doi:

1016/j.eswa.2009.11.057.

Moradi Gh, Ahmadi M, Zohoor A, Ebadifard Azar F, Saberi M. Evaluation of Structure and Content of

Websites of the Educational Hospitals in Iran. Health Information Management. 2007; 4(2): 184.

Goodarzi M, Taghvaee M, Zangbaadi A. Investigation and evaluation of factors affecting the development

of medical tourism in Shiraz. Tourism Management. 2013(23).

Mekkamol P, Piewdang S, Untachai S. Modeling e-CRM for Community Tourism in Upper Northeastern

Thailand. Procedia-Social and Behavioral Sciences. 2013; 88(10): 108-17. doi:

1016/j.sbspro.2013.08.486.

Barclay D, Higgins C, Thompson R. The partial least squares (PLS) approach to causal modeling: Personal

computer adoption and use as an illustration. Technology Studies. 1995; 2(2): 285-309.

Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951; 16(3): 297-334.

doi: 10.1007/BF02310555.

Werts CE, Linn RL, Jöreskog KG. Intraclass reliability estimates: Testing structural assumptions.

Educational and Psychological measurement. 1974; 34(1): 25-33. doi: 10.1177/001316447403400104.

Nunnally JC, Bernstein IH. Psychometric theory. New York: McGraw-Hill; 1978.

Nunnally JC, Bernstein IH, Berge JMt. Psychometric theory. New York: McGraw-Hill; 1967.

Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and

measurement error. Journal of Marketing Research. 1981; 18(1): 39-50. doi: 10.2307/3151312.

Chin WW. Commentary: Issues and opinion on structural equation modeling. JSTOR; 1998.

Tenenhaus M, Amato S, Esposito Vinzi V, editors. A global goodness-of-fit index for PLS structural

equation modelling. Proceedings of the XLII SIS scientific meeting. 2004: CLEUP Padova.

Wetzels M, Odekerken-Schröder G, Van Oppen C. Using PLS path modeling for assessing hierarchical

construct models: Guidelines and empirical illustration. MIS quarterly. 2009; 33(1): 177-95.

Feinberg RA, Kadam R, Hokama L, Kim I. The state of electronic customer relationship management in

retailing. International Journal of Retail & Distribution Management. 2002; 30(10): 470-81. doi:

1108/09590550210445344.

Aziz NS, Kamaludin A, Sulaiman N. Assessing web site usability measurement. International Journal of

Research in Engineering and Technology. 2013; 2(9): 386-92. doi: 10.15623/ijret.2013.0209058.

Stoica I, Orzan G, Dobrescu A, Radu AC. Online Marketing Communication Using Websites. A Case

Study of Website Utility in Accessing European Funds in the Tourism Field Regarding Northeastern

Romania. Procedia Economics and Finance. 2015; 23: 926-35. doi: 10.1016/S2212-5671(15)00436-0.

Sigala M. Culture: the software of e ‐ customer relationship management. Journal of Marketing

Communications. 2006; 12(3): 203-23. doi: 10.1080/13527260600811787.

Wolfinbarger M, Gilly MC. eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of

retailing. 2003; 79(3): 183-98. doi: 10.1016/S0022-4359(03)00034-4.

Jarvenpaa SL, Tractinsky N, Saarinen L. Consumer trust in an internet store: a cross‐cultural validation.

Journal of Computer‐Mediated Communication. 1999; 5(2): 0. doi: 10.1111/j.1083-6101.1999.tb00337.x.

Ballantine PW. Effects of interactivity and product information on consumer satisfaction in an online retail

setting. International Journal of Retail & Distribution Management. 2005; 33(6): 461-71. doi:

1108/09590550510600870.

Published

2022-01-18

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