IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i4p21582440231210376.html
   My bibliography  Save this article

Smartphone Apps-Based Health Communication Media Usage among Older Individuals During the COVID-19 Pandemic: The Role of System Quality Factors

Author

Listed:
  • Amiruddin Saleh
  • Johan David Wetik
  • Sik Sumaedi

Abstract

During covid-19 pandemic, health education was performed by using online media, such as smartphone apps-based health communication media. Furthermore, middle and older individuals, 45 to 60 years old, were categorized as vulnerable during the pandemic. Thus, it was important to study smartphone apps-based health communication media usage of 45 to 60 years old individuals during the pandemic. However, there was no previous research that developed and tested a model of smartphone apps-based health communication media usage of 45 to 60 years old individuals during the pandemic. Given this, this study aimed to develop and test a model of smartphone apps-based health communication media usage of 45 to 60 years old individuals during the COVID-19 pandemic. More specifically, this study aimed to test the effect of system quality factors (ease of use, security, and interactivity), information timeliness, information completeness, information sources trustworthiness, perceived threat of COVID-19, and social environment support on smartphone apps-based health communication media usage. The research was conducted using a cross-sectional design. The data were collected through a survey method in the district and city of Tangerang. The survey locations were chosen due to the location’s internet access and the COVID-19 pandemic problems. The number of samples was 105. The data were analyzed using multiple regressions analysis. The results of the research showed that the smartphone apps-based health communication media usage of the 45 to 60 years old individuals was affected by ease of use, information completeness, social environment support, and perceived threat of COVID-19. However, information timeliness, information source trustworthiness, security, and interactivity were not proven to have a significant impact on the media usage. The managerial and policy implications were identified based on the findings.

Suggested Citation

  • Amiruddin Saleh & Johan David Wetik & Sik Sumaedi, 2023. "Smartphone Apps-Based Health Communication Media Usage among Older Individuals During the COVID-19 Pandemic: The Role of System Quality Factors," SAGE Open, , vol. 13(4), pages 21582440231, November.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231210376
    DOI: 10.1177/21582440231210376
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231210376
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231210376?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Deng, Zhaohua & Liu, Shan & Hinz, Oliver, 2015. "The Health Information Seeking and Usage Behavior Intention of Chinese Consumers through Mobile Phone," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77133, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Peter Dannenberg & Martina Fuchs & Tim Riedler & Cathrin Wiedemann, 2020. "Digital Transition by COVID‐19 Pandemic? The German Food Online Retail," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(3), pages 543-560, July.
    3. Kim, Hyejeong & Niehm, Linda S., 2009. "The Impact of Website Quality on Information Quality, Value, and Loyalty Intentions in Apparel Retailing," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 221-233.
    4. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    5. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jianfei Cao & Karin Kurata & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    2. Quevedo Cascante, Mónica & Acosta García, Nicolás & Fold, Niels, 2022. "The role of external forces in the adoption of aquaculture innovations: An ex-ante case study of fish farming in Colombia's southern Amazonian region," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    4. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Karim, Sitara & Naz, Farah & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Is FinTech providing effective solutions to Small and Medium Enterprises (SMEs) in ASEAN countries?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 335-344.
    6. Pereira, Hélia Gonçalves & Salgueiro, Maria de Fátima & Rita, Paulo, 2016. "Online purchase determinants of loyalty: The mediating effect of satisfaction in tourism," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 279-291.
    7. Zhang Zhen & Zahid Yousaf & Magdalena Radulescu & Muhammad Yasir, 2021. "Nexus of Digital Organizational Culture, Capabilities, Organizational Readiness, and Innovation: Investigation of SMEs Operating in the Digital Economy," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    8. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.
    9. Rosa Caiazza & Phillip Phan & Erik Lehmann & Henry Etzkowitz, 2021. "An absorptive capacity-based systems view of Covid-19 in the small business economy," International Entrepreneurship and Management Journal, Springer, vol. 17(3), pages 1419-1439, September.
    10. O. Oyediran & A. Omoshule & Sanjay Misra & Rytis Maskeliūnas & Robertas Damaševičius, 2019. "Attitude of mobile telecommunication subscribers towards sim card registration in Lagos State, Southwestern Nigeria," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 783-791, August.
    11. Nketiah, Emmanuel & Song, Huaming & Obuobi, Bright & Adu-Gyamfi, Gibbson & Adjei, Mavis & Cudjoe, Dan, 2022. "Citizens' willingness to pay for local anaerobic digestion energy: The influence of altruistic value and knowledge," Energy, Elsevier, vol. 260(C).
    12. Jelena Končar & Radenko Marić & Goran Vukmirović & Sonja Vučenović, 2021. "Sustainability of Food Placement in Retailing during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    13. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    14. Mohammadbashir Sedighi & Hamideh Parsaeiyan & Yashar Araghi, 2021. "An Empirical Study of Intention to Continue Using of Digital Ride-hailing Platforms," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 489-515, November.
    15. Chi-Yo Huang & Hui-Ya Wang & Chia-Lee Yang & Steven J. H. Shiau, 2020. "A Derivation of Factors Influencing the Diffusion and Adoption of an Open Source Learning Platform," Sustainability, MDPI, vol. 12(18), pages 1-27, September.
    16. Hélia Gonçalves Pereira & Maria Fátima Salgueiro & Paulo Rita, 2017. "Online determinants of e-customer satisfaction: application to website purchases in tourism," Service Business, Springer;Pan-Pacific Business Association, vol. 11(2), pages 375-403, June.
    17. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    18. Kirk, Colleen P. & Chiagouris, Larry & Gopalakrishna, Pradeep, 2012. "Some people just want to read: The roles of age, interactivity, and perceived usefulness of print in the consumption of digital information products," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 168-178.
    19. Molinillo, Sebastian & Aguilar-Illescas, Rocío & Anaya-Sánchez, Rafael & Liébana-Cabanillas, Francisco, 2021. "Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    20. Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231210376. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.