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  1. Hussein M, Siddiq A, Ismail HM, Mansy N, Ellakwa DE, Nassif M, et al.
    Disaster Med Public Health Prep, 2024 May 02;18:e82.
    PMID: 38695200 DOI: 10.1017/dmp.2024.50
    BACKGROUND: Medical students hold significant importance, as they represent the future of healthcare provision. This study aimed to explore psychological antecedents towards the monkeypox (mpox) vaccines among postgraduate and undergraduate medical students across countries.

    METHODS: A cross-sectional survey was conducted among medical students aged 18 years old and above in 7 countries; Egypt, Romania, Malaysia, and Yemen, Iraq, India, and Nigeria. We used social media platforms between September 27 and November 4, 2022. An anonymous online survey using the 5C scale was conducted using snowball and convenience Sampling methods to assess the 5 psychological antecedents of vaccination (i.e., confidence, constraints, complacency, and calculation, as well as collective responsibility).

    RESULTS: A total of 2780 participants were recruited. Participants' median age was 22 years and 52.1% of them were males. The 5C psychological antecedents of vaccination were as follows: 55% were confident about vaccination, 10% were complacent, 12% experienced constraints, and 41% calculated the risk and benefit. Lastly, 32% were willing to be vaccinated for the prevention of infection transmission to others. The Country was a significant predictor of confidence, complacency, having constraints, and calculation domains (P < 0.001). Having any idea about the mpox vaccine was linked to 1.6 times higher odds of being more confident [OR = 1.58 (95% CI, 1.26-1.98), P < 0.001] Additionally, living in a rural area significantly increased complacency [OR = 1.42 (95% CI, 1.05-1.95), P = 0.024] as well as having anyone die from mpox [OR = 3.3 (95% CI, 1.64-6.68), P < 0.001]. Education level was associated with increased calculation [OR = 2.74 (95% CI, 1.62-4.64), P < 0.001]. Moreover, being single and having no chronic diseases significantly increased the calculation domain [OR = 1.40 (95% CI, 1.06-1.98), P = 0.02] and [OR = 1.54 (95% CI, 1.10-2.16), P = 0.012] respectively. Predictors of collective responsibility were age 31-45 years [OR = 2.89 (95% CI, 1.29-6.48), P = 0.01], being single [OR = 2.76 (95% CI, 1.94 -3.92), P < 0.001], being a graduate [OR = 1.59 (95% CI (1.32-1.92), P < 0.001], having no chronic disease [OR = 2.14 (95% CI, 1.56-2.93), P < 0.001], and not knowing anyone who died from mpox [OR = 2.54 (95% CI, 1.39-4.64), P < 0.001), as well as living in a middle-income country [OR = 0.623, (95% CI, 0.51-0.73), P < 0.001].

    CONCLUSIONS: This study underscores the multifaceted nature of psychological antecedents of vaccination, emphasizing the impact of socio-demographic factors, geographic location, and awareness, as well as previous experiences on individual attitudes and collective responsibility towards vaccination.

  2. Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, et al.
    Nat Med, 2023 Oct;29(10):2438-2457.
    PMID: 37794253 DOI: 10.1038/s41591-023-02502-5
    Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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