Skip to main content

A Conceptual Study on the Factors Influencing Behavioural Intention to Use Mobile Health Application Among Young Women in Malaysia

  • Conference paper
  • First Online:

Abstract

Mobile health (mHealth) is now becoming an alternative medium in order for the society to have a healthy lifestyle. People may use mobile health to manage, find and deal with information related to health consciousness. In Malaysia, the mobile health application has already been introduced, but the implementation of this application is still at the preliminary stage. This concept paper will discuss elements such as perceived usefulness, perceived ease of use and the concept of mobility with regard to the behavioural intention to use the mobile health application. It is hoped that this paper will create a better understanding of mobile health application in Malaysia.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Amily, F., Hussein, Z., & Yusob, R. (2013). The effect of demographic characteristics towards intention to adopt healthcare services of digital home. In BEIAC 2013–2013 IEEE business engineering and industrial applications colloquium (Vol. 3, pp. 34–37).

    Google Scholar 

  • Andersson, L., & Calvano, L. (2015). Perceived mobility of impact: Global elites and the bono effect. Critical Perspectives on International Business, 11(2), 122–136.

    Article  Google Scholar 

  • Aranda-Jan, C. B., Mohutsiwa-Dibe, N., & Loukanova, S. (2014). Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health, 14(1), 188.

    Article  Google Scholar 

  • Ashraf, S. A., Sharif, S. P., Ong, F. S., & Khong, K. W. (2015). Integrating health belief model and technology acceptance model: An investigation of health-related internet use. Journal of Medical Internet Research., 17(2), 45.

    Article  Google Scholar 

  • Azevedo, A. R. P., de Sousa, H. M. L., Monteiro, J. A. F., & Lima, A. R. N. P. (2014). Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International, 35(3), 419–431. doi:10.1007/s00296-014-3117-9.

    Article  Google Scholar 

  • Banchs, J. E., Benvenuto, I. V., Baquero, G. A., Hess, S. L., Heron, K. E., LaPine, S., et al. (2014). High adoption rates of mobile technology by cardiology clinic patients but limited use of health applications. Journal of the American College of Cardiology, 1, A1426.

    Article  Google Scholar 

  • Bo, R. W., Ji-Yun, P., Kyungyong, C. & In, Y. C. (2014). Influential factors of smart health users according to usage experience and intention to use. Wireless Personal Communications, 2671–2683.

    Google Scholar 

  • Castro, L. A., Favela, J., Quintana, E., & Perez, M. (2014). Behavioral data gathering for assessing functional status and health in older adults using mobile phones. Personal and Ubiquitous Computing, 379–391. 10.1007/s00779-014-0825-9.

  • Cho, J., Quinlan, M. M., Park, D., & Noh, G. (2014). Determinants of adoption of smartphone health apps among college students (pp. 860–871).

    Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • Davis, F. D., & Venkatesh, V. (2004). Toward preprototype user acceptance testing of new information systems: Implications for software project management. IEEE Transactions on Engineering Management, 51(1), 31–46.

    Article  Google Scholar 

  • DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.

    Article  Google Scholar 

  • Deng, Z., Mo, X., & Liu, S. (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China. International Journal of Medical Informatics, 83(3), 210–224.

    Article  Google Scholar 

  • Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2015). A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly.

    Google Scholar 

  • Faziharudean, T. M., & Li-Ly, T. (2011). Consumers’ behavioral intentions to use mobile data services in Malaysia. African Journal of Business Management, 5(5), 1811–1821.

    Google Scholar 

  • Frost, & Sullivan. (2015). Study: Malaysia health expenditure could exceed $20B by 2025. Enterprise innovation (pp. 14–17).

    Google Scholar 

  • Guo, X., Sun, Y., Wang, N., & Peng, Z. (2013). The Dark Side of Elderly Acceptance of Preventive Mobile Health Services in China, 23(1), 49–61.

    Google Scholar 

  • Hussain, M. A.-D. (2013). A questionnaire approach based on the technology acceptance model for mobile tracking on patient progress applications. Journal of Computer Science, 9(6), 763–770.

    Google Scholar 

  • Jihye, H., & Iftekhar, S. N. (2016). Comparison on the use of smartphone application between international and Korean pregnant women. International Journal of Information and Education Technology, 6(5), 404–409.

    Article  Google Scholar 

  • Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322.

    Article  Google Scholar 

  • Kuo, K. M., Liu, C. F., & Ma, C. C. (2013). An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems. BMC Medical Informatics and Decision Making, 13(1), 88.

    Article  Google Scholar 

  • Lee, H. W., Ramayah, T., & Zakaria, N. (2012). External factors in hospital information system (HIS) adoption model: A case on Malaysia. Journal of Medical Systems, 36(4), 2129–2140.

    Article  Google Scholar 

  • Lim, S., et al. (2011). A study on Singaporean women’s acceptance of using mobile phones to seek health information. International Journal of Medical Informatics, 80(12), e189–e202.

    Article  Google Scholar 

  • Liu, C. F., & Cheng, T. J. (2015). Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: A validation in Taiwan. BMC Medical Informatics and Decision Making, 15(1), 1–13.

    Article  Google Scholar 

  • Maarop, N., & Win, K. T. (2012). Understanding the need of health care providers for teleconsultation and technological attributes in relation to the acceptance of teleconsultation in Malaysia: A mixed methods study. Journal of Medical Systems, 36(5), 2881–2892.

    Article  Google Scholar 

  • Malaysian Communication and Multimedia Commission. (2015a). Internet Users Survey 2014.

    Google Scholar 

  • Malaysian Communication and Multimedia Commission. (2015b). Hand phone users survey 2014.

    Google Scholar 

  • Matousek, A., Paik, K., Winkler, E., Denike, J., Addington, S. R., Exe, C., Riviello, R. (2015). Community health workers and smartphones for the detection of surgical site infections in rural Haiti: a pilot study. Lancet (London, England), 385 Suppl, S47.

    Google Scholar 

  • Mcgillicuddy, J. W., Weiland, A. K., Frenzel, R. M., Mueller, M. Jackson, B. M. B., & Taber, D. J. et al. (2013). Patient attitudes toward mobile phone-based health monitoring: Questionnaire study among kidney transplant recipients. Journal of Medical Internet Research, 15(1).

    Google Scholar 

  • Mohamed, A. H. H. M., Tawfik, H., Al-Jumeily, D., & Norton, L. (2011). MoHTAM: A technology acceptance model for mobile health applications. In 2011 Developments in E-systems Engineering, (pp. 13–18).

    Google Scholar 

  • Okazaki, S., Blas, S. S. & Castaneda, J. A. (2015). Physicians’ adoption of mobile health monitoring systems in Spain: Competing models and impact of prior experience. Journal of Electronic Commerce Research, pp. 194–218.

    Google Scholar 

  • Park, E., & Pobil, A. P. D. (2013). Extending the technology acceptance model in remote pointing technology: Identifying the role of perceived mobility and control. Sensor Review, 33, 40–47.

    Article  Google Scholar 

  • Park, Y., Lee, Y., Lee, G., Lee, J., & Shin, S.-Y. (2015). Smartphone applications with sensors used in a tertiary hospital—current status and future challenges. Sensors, 15(5), 9854–9869.

    Article  Google Scholar 

  • Poydras, B. N. (2013). Perceived usefulness of the communicate with me application: A statisfaction survey of students with Autism (pp. 1–77).

    Google Scholar 

  • Rho, M. J., Kim, H. S., Chung, K. & Choi, I. Y. (2014). Factors influencing the acceptance of telemedicine for diabetes management. Cluster Computing, 1–11.

    Google Scholar 

  • Shao, A. F., Rambaud-Althaus, C., Swai, N., Kahama-Maro, J., Genton, B., D’Acremont, V., et al. (2015). Can smartphones and tablets improve the management of childhood illness in Tanzania? A qualitative study from a primary health care worker’s perspective. BMC Health Services Research, 15(1), 1–12. doi:10.1186/s12913-015-0805-4.

    Article  Google Scholar 

  • Sujansky, W., & Kunz, D. (2014). A standard-based model for the sharing of patient-generated health information with electronic health records. Personal and Ubiquitous Computing, 9–25.

    Google Scholar 

  • Sun, Y., Wang, N., Guo, X., & Peng, Z. (2013). Understanding the acceptance of mobile health services: A comparison and integration of alternative models. Journal of Electronic Commerce Research, 14(2), 183–200.

    Google Scholar 

  • Syukrina, A. M. A., Noor’ain, M. Y., & Sri, F. A. K. J. (2015). Understanding determinants of customer retention among three service providers in Malaysia. In Advances in Business Research International Conference 2015 (ABRIC 2015) (pp. 301–311).

    Google Scholar 

  • Tanvir, A., Henry, L., Azfar, S. K., Rubana, I., Abbas, B., & Mohammad, I. (2014). eHealth and mHealth initiatives in Bangladesh: A scoping study. BMC Health Services Research, 14(1), 260.

    Article  Google Scholar 

  • Vancea, M., & Olivera, N. (2013). E-migrant women in Catalonia: Mobile phone use and maintenance of family relationships. Gender, Technology and Development, 17(2), 179–203. doi:10.1177/0971852413488715.

    Article  Google Scholar 

  • Vélez, O., Okyere, P. B., Kanter, A. S., & Bakken, S. (2014). A usability study of a mobile health application for rural Ghanaian midwives. Journal of Midwifery and Women’s Health, 59(2), 184–191.

    Article  Google Scholar 

  • Vishwanath, S., Vaidya, K., Nawal, R., Parthasarathy, S., & Verma, S. (2012). Touching lives through mobile health-assessment of the global market opportunity. India: PwC Brand and Communications.

    Google Scholar 

  • Wen, L. R., & Duh, C. M. (2016). Use of a smartphone to improve hospital discharge plan service. International Journal of Information and Education Technology, 6(5), 414–417.

    Article  Google Scholar 

  • World Health Organization. (2015). Atlas of eHealth country profiles 2015: The use of eHealth in support of universal health coverage.

    Google Scholar 

  • Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., Tan, S. B., et al. (2012). An exploratory study of ageing women’s perception on access to health informatics via a mobile phone-based intervention. International Journal of Medical Informatics, 81(9), 637–648.

    Article  Google Scholar 

Download references

Acknowledgements

The researchers like to acknowledge the Ministry of Education (MOE) Malaysia for the fund received through the Fundamental Research Grant Scheme (FRGS) [Project file: 600-RMI/FRGS 5/3 122/2014)] and to the Research Management Institute (RMI), Universiti Teknologi MARA (UiTM).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zuhal Hussein .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Kamaruzaman, K.N., Hussein, Z., Fikry, A. (2018). A Conceptual Study on the Factors Influencing Behavioural Intention to Use Mobile Health Application Among Young Women in Malaysia. In: Noordin, F., Othman, A., Kassim, E. (eds) Proceedings of the 2nd Advances in Business Research International Conference. Springer, Singapore. https://doi.org/10.1007/978-981-10-6053-3_31

Download citation

Publish with us

Policies and ethics