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  1. Yussof I, Ab Muin NF, Mohd M, Hatah E, Mohd Tahir NA, Mohamed Shah N
    Digit Health, 2023;9:20552076231205742.
    PMID: 37808244 DOI: 10.1177/20552076231205742
    OBJECTIVE: To determine the prevalence and types of misinformation on Twitter related to breast cancer prevention and treatment; and compare the differences between the misinformation in English and Malay tweets.

    METHODS: A total of 6221 tweets related to breast cancer posted between 2018 and 2022 were collected. An oncologist and two pharmacists coded the tweets to differentiate between true information and misinformation, and to analyse the misinformation content. Binary logistic regression was conducted to identify determinants of misinformation.

    RESULTS: There were 780 tweets related to breast cancer prevention and treatment, and 456 (58.5%) contain misinformation, with significantly more misinformation in Malay compared to English tweets (OR = 6.18, 95% CI: 3.45-11.07, p 

  2. Yussof I, Mohamed Shah N, Ab Muin NF, Abd Rahim S, Hatah E, Mohd Tahir NA, et al.
    J Cancer Educ, 2024 Aug;39(4):383-390.
    PMID: 38530598 DOI: 10.1007/s13187-024-02421-0
    Breast cancer survivors on adjuvant endocrine therapy (AET) have distinct information-seeking experience compared to those in the diagnosis and intensive treatment phase. This study aimed to understand the challenges in obtaining and seeking information among Malaysian breast cancer survivors. We conducted semi-structured, one-to-one interviews among patients using AET from two hospitals and a local cancer organization. Interviews were conducted until theme saturation was achieved (N = 25). Interviews were de-identified, transcribed verbatim, and analysed using thematic analysis. To ensure rigor, coding was conducted through regular discussions between two researchers and the findings were shared with several participants after analysis was completed. Three main themes were identified: limitations in the healthcare system, pitfalls of seeking information online, and limited information from local sources. The participants perceived that their information needs were not met by their healthcare providers and sought information on the Internet to complement their information needs. However, they were faced with risks of misinformation, information overload, and unethical promotion of health products. Those with limited English proficiency had difficulties in accessing quality information, and suggested that there should be more content created by local health advocates in local languages, with information that is tailored for local cultures. As the Internet has become an important medium of health education, healthcare providers and patients should be equipped with the skills to share and search for information online. Digital health literacy needs to be incorporated in patient education modules to create a more informed and empowered patient community.
  3. Eyu HT, Nik Jaafar NR, Leong Abdullah MFI, Salleh Salimi HM, Mohamad Yunus MR, Ismail F, et al.
    Psychooncology, 2024 Dec;33(12):e70020.
    PMID: 39663181 DOI: 10.1002/pon.70020
    BACKGROUND: Patients' sociodemographic factors, clinical characteristics, distress factors, perceived shame and stigma may give rise to psychological distress in cancer patients that bring about further psychosocial impact.

    AIMS: (1) to determine the degrees of shame and stigma towards cancer and psychological distress among cancer patients in Malaysia and (2) to examine the clinical and psychosocial predictors of psychological distress.

    METHODS: This cross-sectional study recruited a total of 217 cancer patients. The participants were administered the sociodemographic and clinical characteristics questionnaires, the Malay version of the Shame and Stigma Scale (SSS-M) to assess for the degree of cancer shame and stigma, and the Malay version of the Distress Thermometer and Problem List to assess for presence of psychological distress and identify its sources.

    RESULTS: There was a significant level of shame and stigma among cancer patients with the total mean SSS-M score of 12.08 (SD = 6.09). Anger (adjusted odds ratio [AOR] = 11.97, 95% confidence interval [CI] = 2.96-86.8, p = 0.001), loss of interest or enjoyment (AOR = 14.84, 95% CI = 2.93-75.20, p = 0.001), loneliness (AOR = 8.10, 95% CI = 1.13-58.02, p = 0.001), feeling of worthlessness or being a burden (AOR = 6.24, 95% CI = 1.32-29.59, p = 0.021), fear (AOR = 4.52, 95% CI = 1.79-11.43, p = 0.001), pain (AOR = 4.07, 95% CI = 1.53-10.82, p = 0.005), financial constraint (AOR = 2.95, 95% CI = 1.22-7.13, p = 0.016), and having regret (AOR = 1.89, 95% CI = 1.03-3.79, p = 0.039) increased the odds of developing psychological distress.

    CONCLUSION: Treating clinicians should monitor for and provide psychosocial interventions for the biopsychosocial factors which may worsen psychological distress among cancer patients.

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