The Challenge of Implementing Mobile Health Applications in the Corona Crisis: Identifying Factors Affecting the Experience Quality in Mobile Health Applications

Document Type : Qualitative Research Paper

Authors

1 Department of Business, Hazrat-e Ma'soumeh University (HMU), Qom, Iran

2 MA of Management, Business Department, Hazrate Masoumeh University, Qom, Iran

10.34785/J018.2022.020

Abstract

Researchers have acknowledged that improving the quality of the user experience in mobile health applications has led to significant improvements in the implementation of prevention programs and the reduction of coronary heart disease in governments. However, there is limited knowledge about what factors affect the customer experience in using mobile health applications. Therefore, the purpose of this study is to provide a framework of factors affecting the quality of customer experience in health applications. The present study is considered as an applied research in terms of purpose, is exploratory in terms of nature and descriptive method, and is mixed in terms of approach. In the first phase of the research, in addition to a comprehensive review of studies, using a qualitative approach, semi-structured interviews with 13 experts in the field of health applications were conducted to identify the dimensions and quality indicators of customer experience in mobile health applications. In the second stage, the dimensions and indicators identified by those who had experience using these programs were weighted and prioritized using the weighted average method. According to the findings, after completing the research framework, five dimensions; technological and functional, sensorial, cognitive, emotional, interactive/social and 55 indicators classified in each dimension were identified and approved by experts and experts of the statistical community. The results showed; Technological and functional dimension are in the first rank and cognitive, sensory, interactive / social dimension, emotional dimension are in the second rank to the last, respectively.

Keywords


 
References
Al Raimi, A. M., Chong, C. M., Tang, L. Y., Chua, Y. P., & Al Ajeel, L. Y. (2021). Using mHealth Apps in Health Education of Schoolchildren with Chronic Disease During COVID-19 Pandemic Era. Emerging Technologies During the Era of COVID-19 Pandemic, 305-317.‏ https://doi.org/10.1007/978-3-030-67716-9_19.
Anderson, K., Burford, O., & Emmerton, L. (2016). Mobile health apps to facilitate self-care: a qualitative study of user experiences. PloS one11(5), e0156164.‏
Arpaci, I., Karataş, K., & Baloğlu, M. (2020). The development and initial tests for the psychometric properties of the COVID-19 Phobia Scale (C19P-S). Personality and individual differences164, 110108.‏ https://doi.org/10.1016/j.paid.2020.110108.
Azhar, F. A. B., & Dhillon, J. S. (2016, August). A systematic review of factors influencing the effective use of mHealth apps for self-care. In 2016 3rd International Conference on Computer and Information Sciences (ICCOINS) (pp. 191-196). IEEE.‏
Baek, H., Suh, J. W., Kang, S. H., Kang, S., Lim, T. H., Hwang, H., & Yoo, S. (2018). Enhancing user experience through user study: design of an mHealth tool for self-management and care engagement of cardiovascular disease patients. JMIR cardio2(1), e9000.‏
Bhattacharya, A., Srivastava, M., & Verma, S. (2019). Customer experience in online shopping: a structural modeling approach. Journal of Global Marketing32(1), 3-16.‏
Bilgihan, A., Kandampully, J., & Zhang, T. C. (2016). Towards a unified customer experience in online shopping environments: Antecedents and outcomes. International Journal of Quality and Service Sciences.‏
Birkmeyer, S., Wirtz, B. W., & Langer, P. F. (2021). Determinants of mHealth success: An empirical investigation of the user perspective. International Journal of Information Management59, 102351.‏ https://doi.org/10.1016/j.ijinfomgt.2021.102351.
Bleier, A., Harmeling, C. M., & Palmatier, R. W. (2019). Creating effective online customer experiences. Journal of marketing83(2), 98-119.
Bolton, R. N., McColl-Kennedy, J. R., Cheung, L., Gallan, A., Orsingher, C., Witell, L., & Zaki, M. (2018). Customer experience challenges: bringing together digital, physical and social realms. Journal of Service Management29(5), 776-808.‏
Bueno, E. V., Weber, T. B. B., Bomfim, E. L., & Kato, H. T. (2019). Measuring customer experience in service: A systematic review. The Service Industries Journal39(11-12), 779-798.‏
Chen, Y., Yang, L., Zhang, M., & Yang, J. (2018). Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International journal of medical informatics116, 33-45.‏
Dyer, O. (2020). Covid-19: Pandemic is having “severe” impact on non-communicable disease care, WHO survey finds.‏ https://doi.org/10.1136/bmj.m2210.
Gao, L., Melero-Polo, I., & Sese, F. J. (2020). Customer equity drivers, customer experience quality, and customer profitability in banking services: The moderating role of social influence. Journal of Service Research23(2), 174-193.‏  https://doi.org/10.1177/1094670519856119
Handel, M. J. (2011). mHealth (mobile health)-using apps for health and wellness. Explore (New York, NY)7(4), 256-261.‏
Havíř, D. (2017). A COMPARISON OF THE APPROACHES TO CUSTOMER EXPERIENCE ANALYSIS. Economics & Business31(1),82-93.
Hussain, M., Zaidan, A. A., Zidan, B. B., Iqbal, S., Ahmed, M. M., Albahri, O. S., & Albahri, A. S. (2018). Conceptual framework for the security of mobile health applications on android platform. Telematics and Informatics35(5), 1335-1354.‏
Iyengar, K., Upadhyaya, G. K., Vaishya, R., & Jain, V. (2020). COVID-19 and applications of smartphone technology in the current pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews14(5), 733-737.‏ https://doi.org/10.1016/j.dsx.2020.05.033
Izogo, E. E., & Jayawardhena, C. (2018). Online shopping experience in an emerging e-retailing market. Journal of Research in Interactive Marketing.‏
Jami Pour, M., Talari, M., & Bahadori, M. (2019). Designing a Customer Experience Management Framework in a Social Business: A Mixed Approach. Consumer Behavior Studies Journal, 6(2), 46-67. (In Persian)
Kalimullah, K., & Sushmitha, D. (2017). Influence of design elements in mobile applications on user experience of elderly people. Procedia computer science113, 352-359.‏ ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.08.344.
Khan, K., & Donthula, S. (2019). Investigating motivational and usability issues of mHealth wellness apps for improved user experience. In Third International Congress on Information and Communication Technology (pp. 573-587). Springer, Singapore.‏  https://doi.org/10.1007/978-981-13-1165-9_53
Kim, H. S., & Choi, B. (2016). The effects of three customer-to-customer interaction quality types on customer experience quality and citizenship behavior in mass service settings. Journal of Services Marketing30(4), 384-397.
Klaus, P. (2013). The case of Amazon. com: towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing.‏
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of marketing80(6), 69-96.‏ https://doi.org/10.1509/jm.15.0420.
Lu, C., Hu, Y., Xie, J., Fu, Q., Leigh, I., Governor, S., & Wang, G. (2018). The use of mobile health applications to improve patient experience: cross-sectional study in Chinese public hospitals. JMIR mHealth and uHealth6(5), e9145.‏ https://mhealth.jmir.org/2018/5/e126 DOI: 10.2196/mhealth.9145
Zare, M., & Mahmoudi, R.(2020).The effects of the online customer experience on customer loyalty in e-retailers. International Journal of Advanced Engineering, Management and Science(ISSN: 2454-1311),6(5), 208-214. http://dx.doi.org/10.22161/ijaems.65.2
Gary Mortimer, M., & Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk, Journal of Retailing and Consumer Services, Volume 25, 2015, Pages 81-95, ISSN 0969-6989, https://doi.org/10.1016/j.jretconser.2015.03.008.
Mclean, G., Al-Nabhani, K., & Wilson, A. (2018). Developing a mobile applications customer experience model (MACE)-implications for retailers. Journal of Business Research85, 325-336.‏, ISSN 0148-2963, https://doi.org/10.1016/j.jbusres.2018.01.018.
Micu, A. E., Bouzaabia, O., Bouzaabia, R., Micu, A., & Capatina, A. (2019). Online customer experience in e-retailing: implications for web entrepreneurship. International Entrepreneurship and Management Journal15(2), 651-675.‏ (2019). https://doi.org/10.1007/s11365-019-00564-x
Mohammadi, F., Nematizadeh, S., Heydari, A., & Safarzadeh, H. (2022). Online Customer Experience model in times of  cCovid19. Consumer Behavior Studies Journal, 8(4), 84-106. (In Persian)
Moqeem, A. A., Baig, M. M., Hosseini, H. G., & Mirza, F. (2018). Mobile Health Application Framework for an Ideal User Experience—A User-Centered Design Approach for Clinicians. Trends in Telemedicine & E-health1(3).
‏Noronha, N., D’Elia, A., Coletta, G., Wagner, N., Archer, N., Navarro, T., & Lokker, C. (2020). Mobile applications for COVID-19: a scoping review. BMC Public Health.‏https://www.researchsquare.com/
Pai, R. R., & Alathur, S. (2020). Mobile health intervention and COVID-19 pandemic outbreak: insights from Indian context. International Journal of Health Governance.‏. https://doi.org/10.1108/IJHG-04-2020-0043
Pandey, S., & Chawla, D. (2018). Online customer experience (OCE) in clothing e-retail: exploring OCE dimensions and their impact on satisfaction and loyalty–does gender matter?. International Journal of Retail & Distribution Management.‏ https://doi.org/10.1108/IJRDM-01-2017-0005
Ramsey, R. R., Caromody, J. K., Voorhees, S. E., Warning, A., Cushing, C. C., Guilbert, T. W., ... & Fedele, D. A. (2019). A systematic evaluation of asthma management apps examining behavior change techniques. The Journal of Allergy and Clinical Immunology: In Practice, 7(8), 2583-2591.‏ https://doi.org/10.1016/j.jaip.2019.03.041
Rana, N. P., Barnard, D. J., Baabdullah, A. M., Rees, D., & Roderick, S. (2019). Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM. International Journal of Information Management44, 141-153‏, https://doi.org/10.1016/j.ijinfomgt.2018.10.009.
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online customer experience in e-retailing: an empirical model of antecedents and outcomes. Journal of retailing88(2), 308-322., ISSN 0022-4359,https://doi.org/10.1016/j.jretai.2012.03.001.
Shobeiri, S., Mazaheri, E., & Laroche, M. (2018). Creating the right customer experience online: The influence of culture. Journal of Marketing Communications, 24(3), 270-290., DOI: 10.1080/13527266.2015.1054859.
Schmidt, M., Fisher, A. P., Sensenbaugh, J., Ling, B., Rietta, C., Babcock, L., ... & Wade, S. L. (2020). User experience (re) design and evaluation of a self-guided, mobile health app for adolescents with mild traumatic brain injury. Journal of formative design in learning4(2), 51-64.‏
Sorooshian, S., Salimi, M., Salehi, M., Nia, N. B., & Asfaranjan, Y. S. (2013). Customer experience about service quality in online environment: A case of Iran. Procedia-Social and Behavioral Sciences93, 1681-1695.. https://doi.org/10.1016/j.sbspro.2013.10.101
Shakib, B., Karbasi, A., & Nezhad, A. J. (2017). Examining and recognizing the interaction effect of customer experience management (case Isfahan city centerhyper) study. QUID: Investigación, Ciencia y Tecnología, (1), 2628-2637.‏
Silva, J. H. O., Mendes, G. H. S., Cauchick-Miguel, P. A., & Amorim, M. (2020, February). Customer experience literature analysis based on bibliometry. In International Conference on Exploring Services Science (pp. 3-20). Springer, Cham.‏https://doi.org/10.1007/978-3-030-38724-2_1
‏Statista. (2022). Mobile commerce in the United States - statistics & facts, Available at: https://www.statista.com/topics/1185/mobile-commerce/#topicOverview (Accessed January 2023).
Stawarz, K., Preist, C., Tallon, D., Wiles, N., & Coyle, D. (2018). User experience of cognitive behavioral therapy apps for depression: an analysis of app functionality and user reviews. Journal of medical Internet research20(6), e10120.‏
Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2015). Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth and uHealth3(1), e3422.‏
Tang, Y., Yang, Y. T., & Shao, Y. F. (2019). Acceptance of online medical websites: An empirical study in China. International journal of environmental research and public health, 16(6), 943.‏ doi:10.3390/ijerph16060943
 Verkijika, S. F. (2018). Factors influencing the adoption of mobile commerce applications in Cameroon. Telematics and Informatics, 35(6), 1665-1674.
 Wang, L., Tang, H., Liu, D., & Xing, C. (2017). Study on Customer Experience Dimension Based on Online Shopping reviews of MI’s Products. In MATEC Web of Conferences (Vol. 100, p. 05024). EDP Sciences.‏‏    https://doi.org/10.1051/matecconf/201710005024
‏ Yassierli, Y., Vinsensius, V., & Mohamed, M. S. (2018). The importance of usability aspect in M-commerce application for satisfaction and continuance intention. Makara Journal of Technology, 22(3), 6.‏
Yuan, Z., & Chen, H. (2018). The Relationship between Mobile Web and Mobile App Channels for Retailers.‏ In The 12th China Summer Workshop on Information Management (CSWIM 2018).
Zaki, M., & Neely, A. (2019). Customer experience analytics: dynamic customer-centric model. In Handbook of Service Science, Volume II (pp. 207-233). Springer, Cham.‏. https://doi.org/10.1007/978-3-319-98512-1_10.