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Health Information Engagement Factors in Malaysia: A Content Analysis of Facebook Use by the Ministry of Health in 2016 and 2017

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  • Afiq Izzudin A. Rahim

    (Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia)

  • Mohd Ismail Ibrahim

    (Department of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia)

  • Faizul Nizam A. Salim

    (Director General’s Office, Ministry of Health, Putrajaya 62590, Malaysia)

  • Mohd Ariff Ikram Ariffin

    (Director General’s Office, Ministry of Health, Putrajaya 62590, Malaysia
    Corporate Communication Unit, Ministry of Health, Putrajaya 62590, Malaysia)

Abstract

Health organizations have widely adopted social media for health promotion, public health communication conveyance, and organizational promotion activities. However, little published data exists on the factors that facilitate health information diffusion in South East Asia, especially Malaysia compared with Western countries. This study aimed to investigate factors associated with good engagement rates among internet users on the Facebook (FB) page of Ministry of Health Malaysia. In this observational study, 2123 FB posts were randomly selected. Data dated from 1 November 2016 to 31 October 2017 was gathered from the Facebook Insight. The logistic regression model was applied to identify factors associated with good engagement rates. This study found that a FB post with a good engagement rate was significantly associated with a health education post (Adjusted Odd Ratio (AOR): 3.80, 95% Confidence Interval CI: 3.02–4.78, p < 0.001), a risk communication post (AOR: 1.77, 95% CI: 1.39–2.26, p < 0.001), a post in the afternoon (AOR: 1.76, 95% CI: 1.34–2.31, p < 0.001) or in the evening (AOR: 1.48, 95% CI: 1.20–1.82, p < 0.001), and a video format (AOR: 3.74, 95% CI: 1.44–9.71, p = 0.007). Therefore, we present the first comprehensive analysis of health information engagement among internet users in Malaysia. The growing trends of online health information-seeking behaviors and demand for the availability of validated health information require effective strategies by public health organizations to disseminate health information and achieve better audience engagement on social media.

Suggested Citation

  • Afiq Izzudin A. Rahim & Mohd Ismail Ibrahim & Faizul Nizam A. Salim & Mohd Ariff Ikram Ariffin, 2019. "Health Information Engagement Factors in Malaysia: A Content Analysis of Facebook Use by the Ministry of Health in 2016 and 2017," IJERPH, MDPI, vol. 16(4), pages 1-11, February.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:4:p:591-:d:206949
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    References listed on IDEAS

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    1. John W. Fritch & Robert L. Cromwell, 2001. "Evaluating Internet resources: Identity, affiliation, and cognitive authority in a networked world," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(6), pages 499-507.
    2. Ellen Ter Huurne & Jan Gutteling, 2008. "Information needs and risk perception as predictors of risk information seeking," Journal of Risk Research, Taylor & Francis Journals, vol. 11(7), pages 847-862, October.
    3. Roger E. Kasperson & Ortwin Renn & Paul Slovic & Halina S. Brown & Jacque Emel & Robert Goble & Jeanne X. Kasperson & Samuel Ratick, 1988. "The Social Amplification of Risk: A Conceptual Framework," Risk Analysis, John Wiley & Sons, vol. 8(2), pages 177-187, June.
    4. Lister, C. & Royne, M. & Payne, H.E. & Cannon, B. & Hanson, C. & Barnes, M., 2015. "The laugh model: Reframing and rebranding public health through social media," American Journal of Public Health, American Public Health Association, vol. 105(11), pages 2245-2251.
    5. May O. Lwin & Jiahui Lu & Anita Sheldenkar & Peter J. Schulz, 2018. "Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model," IJERPH, MDPI, vol. 15(9), pages 1-19, September.
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