FACTORS INFLUENCING EXPECTANT MOTHERS' CONTINUED USE OF DIGITAL HEALTH INFORMATION
Background: Expectant women receive healthcare education at antenatal care (ANC) clinics, but it is noteworthy that expectant mothers tend to seek information from various sources beyond their primary healthcare providers.
Aims: The study aims to investigate determinants influencing expectant mothers' continuous use of digital media for pregnancy information.
Methods: The study involves participants of expectant women who attend ANC clinics in five municipal hospitals. The hypotheses were tested with 580 responses using Structural Equation Modeling (SEM) via SmartPLS version 4.
Results: The findings revealed that social media healthcare information usage, perceived severity, and emotional support on social media influence expectant mothers' decisions to continue using digital media for healthcare purposes. However, the effect of perceived vulnerability on social media healthcare information usage was insignificant.
Conclusion: This study concludes that expectant mothers will continue to adopt digital platforms to access healthcare information. The findings provide recommendations to help healthcare providers advance antenatal care.
Keywords: Emotional support, healthcare, expectant women, SMHIC, social media
Alsyouf, A., Ishak, A.K. and Abdullah, O.Y. (2018) ‘Understanding EHRs continuance intention to use from the perspectives of UTAUT: Practice environment moderating effect and top management support as predictor variables', International Journal of Electronic Healthcare, 10(1–2), pp. 24–59. Available at: https://doi.org/10.1504/IJEH.2018.092175.
Beh, P.K. et al. (2019) ‘Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators', Behaviour and Information Technology, 0(0), pp. 1–18. Available at: https://doi.org/10.1080/0144929X.2019.1685597.
Broeke, M.V. et al. (2022) ‘Sources of information used by women during pregnancy and the perceived quality', BMC Pregnancy and Childbirth, pp. 1–12. Available at: https://doi.org/10.1186/s12884-022-04422-7.
Chiu, W., Cho, H. and Chi, C.G. (2020) ‘Consumers' continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model', Information Technology and People, 34(3), pp. 978–998. Available at: https://doi.org/10.1108/ITP-09-2019-0463.
Damayanti, N.A. et al. (2022) ‘the Internet As a Health Information in Decision Making of Pregnant Women', Indonesian Journal of Health Administration, 10(1), pp. 79–88. Available at: https://doi.org/10.20473/jaki.v10i1.2022.79-88.
Deng, Z., Liu, S. and Hinz, O. (2015) ‘The health information seeking and usage behavior intention of Chinese consumers through mobile phones', Information Technology and People, 28(2), pp. 405–423. Available at: https://doi.org/10.1108/ITP-03-2014-0053.
Downe, S. et al. (2018) ‘What matters to women during childbirth: A systematic qualitative review', PLoS ONE, 13(4), pp. 1–17. Available at: https://doi.org/10.1371/journal.pone.0194906.
Geisser, S. (1974) ‘A predictive approach to the random effect model', Biometrika, 61(1), pp. 101–107. Available at: https://doi.org/https://doi.org/10.1093/biomet/61.1.101.
Gu, D. et al. (2021) ‘Assessing the Adoption of e-Health Technology in a Developing Country: An Extension of the UTAUT Model', SAGE Open, 11(3), pp. 1–16. Available at: https://doi.org/10.1177/21582440211027565.
Hair, J.F. et al. (2013) ‘Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance', Long Range Planning, 46(1–2), pp. 1–12. Available at: https://doi.org/10.1016/j.lrp.2013.01.001.
Hair, J.F. et al. (2017) ‘A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks', Sage, p. 165.
Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011) ‘PLS-SEM: Indeed a silver bullet', Journal of Marketing Theory and Practice, 19(2), pp. 139–152. Available at: https://doi.org/10.2753/MTP1069-6679190202.
Hamzehei, R. et al. (2018) ‘Online Health Information Seeking Behavior among Iranian Pregnant Women : A Case Study', Library Philosophy and Practice (e-journal), pp. 1–17.
Harpel, T. (2018) ‘Pregnant women sharing pregnancy-related information on Facebook: Web-based survey study', Journal of Medical Internet Research, 20(3), pp. 1–16. Available at: https://doi.org/10.2196/jmir.7753.
Hassandoust, F. and Techatassanasoontorn, A.A. (2020) Understanding users' information security awareness and intentions: A full nomology of protection motivation theory, Cyber Influence and Cognitive Threats. Elsevier Inc. Available at: https://doi.org/10.1016/B978-0-12-819204-7.00007-5.
Henseler, J., Ringle, C.M. and Sarstedt, M. (2015) ‘A new criterion for assessing discriminant validity in variance-based structural equation modeling', Journal of the Academy of Marketing Science, 43(1), pp. 115–135. Available at: https://doi.org/10.1007/s11747-014-0403-8.
Imlawi, J. and Gregg, D. (2020) ‘Understanding the satisfaction and continuance intention of knowledge contribution by health professionals in online health communities', Informatics for Health and Social Care, 45(2), pp. 151–167. Available at: https://doi.org/10.1080/17538157.2019.1625053.
Jacobs, E.J.A., Steijn, M.E. Van and Pampus, M.G. Van (2019) ‘Sexual & Reproductive Healthcare Internet usage of women attempting pregnancy and pregnant women in the Netherlands', Sexual & Reproductive Healthcare, 21(April), pp. 9–14. Available at: https://doi.org/10.1016/j.srhc.2019.04.005.
Jaks, R. et al. (2019) ‘Parental digital health information seeking behavior in Switzerland : a cross-sectional study', BMC Public Health, pp. 1–11.
Jun, J., Park, H. and Cho, I. (2019) ‘Study on initial adoption of advanced driver assistance system: integrated model of PMT and UTAUT 2', Total Quality Management and Business Excellence, 30(sup1), pp. S83–S97. Available at: https://doi.org/10.1080/14783363.2019.1665820.
Lin, X., Wang, X. and Hajli, N. (2019) ‘Building E-Commerce Satisfaction and Boosting Sales : The Role of Social Commerce Trust and Its Antecedents Antecedents', International Journal of Electronic Commerce, 23(3), pp. 328–363. Available at: https://doi.org/10.1080/10864415.2019.1619907.
Marakhimov, A. and Joo, J. (2017) ‘Consumer adaptation and infusion of wearable devices for healthcare', Computers in Human Behavior, 76, pp. 135–148. Available at: https://doi.org/10.1016/j.chb.2017.07.016.
Ngai, S.S. et al. (2021) ‘Mediating Effects of Emotional Support Reception and Provision on the Relationship between Group Interaction and Psychological Well-Being : A Study of Young Patients', International Journal of Environmental Research and Public Health [Preprint]. Available at: https://doi.org/https://doi.org/10.3390/ijerph182212110.
Ngozi, S., Anasi, I. and Allison, G.O. (2018) ‘Sociodemographic Determinants of Information Sources Availability and Use Among Pregnant Women in Ilisan-Remo, Ogun State, Nigeria', Journal of Hospital Librarianship, 18(1), pp. 47–63. Available at: https://doi.org/10.1080/15323269.2018.1400833.
Ofori, P.P. (2023a) [Forthcoming] ‘Social Media in Pregnancy Care: Exploring Adoption Factors and Digital Healthcare Information Utilization among Expectant Mothers in Ghana', Ethiopian Journal of Health Sciences.
Ofori, P.P., Antwi, E.A. and Owusu-Ansah, K.A. (2021) ‘The mediating effects of satisfaction and attitude on consumers' intent toward adoption of social media healthcare information', Journal of Health and Social Sciences, 6(3), pp. 391–402. Available at: https://doi.org/10.19204/2021/thmd5.
Ofori, P.P. and Oduro-Asante, A. (2022) ‘Using Extraversion to Investigate Social Media Purchase Adoption', International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 8(4), pp. 91–104. Available at: https://doi.org/10.32628/cseit22849.
Ofori, P.P. and Wang, W. (2022) ‘Emerging technologies adoption in healthcare: A SOHI model', Information Development, pp. 1–19. Available at: https://doi.org/10.1177/02666669221113766.
Özkan, S., Åžengül, Åž. and Sözbir, Y. (2021) ‘Use of Mobile Applications by Pregnant Women and Levels of Pregnancy Distress During the COVID "‘ 19 ( Coronavirus ) Pandemic', Maternal and Child Health Journal, 25(7), pp. 1057–1068. Available at: https://doi.org/10.1007/s10995-021-03162-y.
Pourfallahi, M. et al. (2019) ‘The effect of informational-emotional support program on illness perceptions and emotional coping of cancer patients undergoing chemotherapy', Supportive Care in Cancer, 28(2), pp. 485–495. Available at: https://doi.org/10.1007/s00520-019-04842-w.
Puspitasari, I. and Firdauzy, A. (2019) ‘Characterizing consumer behavior in leveraging social media for e-patient and health-related activities', International Journal of Environmental Research and Public Health, 16(18), pp. 3–5. Available at: https://doi.org/10.3390/ijerph16183348.
Shatta, D.N. et al. (2020) ‘The Influence of Relative Advantage Towards e-Procurement Adoption Model in Developing Countries: Tanzania Context', European Scientific Journal ESJ, 16(28), pp. 130–149. Available at: https://doi.org/10.19044/esj.2020.v16n28p130.
Shensa, A. et al. (2016) ‘Social Media Use and Perceived Emotional Support Among US Young Adults', Journal of Community Health, 41(3), pp. 541–549. Available at: https://doi.org/10.1007/s10900-015-0128-8.
Silver, R.A., Subramaniam, C. and Stylianou, A. (2020) ‘The impact of portal satisfaction on portal use and health-seeking behavior: Structural equation analysis', Journal of Medical Internet Research, 22(3), pp. 1–13. Available at: https://doi.org/10.2196/16260.
Smith, M. et al. (2020) ‘The relationship between digital media use during pregnancy, maternal psychological wellbeing, and maternal-fetal attachment', PLoS ONE, 15(12 December), pp. 1–15. Available at: https://doi.org/10.1371/journal.pone.0243898.
Tian, X.F. and Wu, R.Z. (2022) ‘Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT', International Journal of Environmental Research and Public Health, 19(16). Available at: https://doi.org/10.3390/ijerph19169980.
Venkatesh, V. et al. (2003) ‘User acceptance of information technology: Toward a unified view', MIS Quarterly: Management Information Systems, 27(3), pp. 425–478. Available at: https://doi.org/10.2307/30036540.
Wu, J. et al. (2019) ‘Impact of Emotional Support, Informational Support, and Norms of Reciprocity on Trust Toward the Medical Aesthetic Community: The Moderating Effect of Core Self-Evaluations', Interactive Journal of Medical Research, 8(1), pp. 1–12. Available at: https://doi.org/10.2196/11750.
Yang, J. and Jong, D. (2021) ‘Understanding Continuance Intention Determinants to Adopt Online Health Care Community : An Empirical Study of Food Safety', International Journal of Environmental Research and Public Health, 18(6514). Available at: https://doi.org/https://doi.org/10.3390/ ijerph18126514.
Zahedul, M. et al. (2020) ‘Factors influencing the adoption of mHealth services in a developing country: A patient-centric study', International Journal of Information Management, 50(April 2019), pp. 128–143. Available at: https://doi.org/10.1016/j.ijinfomgt.2019.04.016.
Copyright (c) 2023 Philomina Pomaah Ofori, Kumangkem Kennedy Kubuga, Dominic Kofi Louis
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
1. As an author you (or your employer or institution) may do the following:
- make copies (print or electronic) of the article for your own personal use, including for your own classroom teaching use;
- make copies and distribute such copies (including through e-mail) of the article to research colleagues, for the personal use by such colleagues (but not commercially or systematically, e.g. via an e-mail list or list server);
- present the article at a meeting or conference and to distribute copies of the article to the delegates attending such meeting;
- for your employer, if the article is a ‘work for hire', made within the scope of your employment, your employer may use all or part of the information in the article for other intra-company use (e.g. training);
- retain patent and trademark rights and rights to any process, procedure, or article of manufacture described in the article;
- include the article in full or in part in a thesis or dissertation (provided that this is not to be published commercially);
- use the article or any part thereof in a printed compilation of your works, such as collected writings or lecture notes (subsequent to publication of the article in the journal); and prepare other derivative works, to extend the article into book-length form, or to otherwise re-use portions or excerpts in other works, with full acknowledgement of its original publication in the journal;
- may reproduce or authorize others to reproduce the article, material extracted from the article, or derivative works for the author's personal use or for company use, provided that the source and the copyright notice are indicated.
All copies, print or electronic, or other use of the paper or article must include the appropriate bibliographic citation for the article's publication in the journal.
2. Requests from third parties
Although authors are permitted to re-use all or portions of the article in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
3. Author Online Use
- Personal Servers. Authors and/or their employers shall have the right to post the accepted version of articles pre-print version of the article, or revised personal version of the final text of the article (to reflect changes made in the peer review and editing process) on their own personal servers or the servers of their institutions or employers without permission from JAKI;
- Classroom or Internal Training Use. An author is expressly permitted to post any portion of the accepted version of his/her own articles on the author's personal web site or the servers of the author's institution or company in connection with the author's teaching, training, or work responsibilities, provided that the appropriate copyright, credit, and reuse notices appear prominently with the posted material. Examples of permitted uses are lecture materials, course packs, e-reserves, conference presentations, or in-house training courses;