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  1. Yeoh ZY, Ramdzan SN
    PMID: 37205148 DOI: 10.51866/cr.184
    The mass vaccination against COVID-19 has saved millions of lives globally. The majority of people experience short-term mild side effects; however, in rare cases, some develop long-term severe adverse events. This case report illustrates the case of a middle-aged man with Parsonage-Turner syndrome, a rare adverse event following COVID-19 immunisation. The patient presented with pain and weakness of the right upper arm for 2 months, which developed 5 days after he received his mRNA COVID-19 booster vaccine. He sought medical attention after 9 weeks of experiencing weakness with obvious muscle wasting. He reported his condition only via a phone application, as he thought that his condition was self-limiting and will improve with time. Herein, we discuss the syndrome and highlight the importance of patient education and early recognition of serious adverse events related to vaccinations in the primary care setting.
  2. Yeoh ZY, Beh HC, Amirul Amzar Megat Hashim MM, Haireen AH, Chuan DR, Othman S
    PMID: 39534763 DOI: 10.51866/oa.653
    INTRODUCTION: Using quick response (QR) codes to disseminate information has become increasingly popular since the declaration of COVID-19 as a pandemic. We aimed to investigate the feasibility of implementing QR-based quality improvement projects in our clinic to improve patients' medical knowledge, experience and access to care.

    METHODS: We utilised systematic random sampling by recruiting every 25th patient registered in our clinic during data collection. Participants answered a self-administered printed questionnaire regarding their smartphone usage and familiarity with QR code scanning at the patients' waiting area. Data were analysed using the Statistical Package for the Social Sciences version 26.

    RESULTS: A total of 323 patients participated (response rate=100%). The participants' median age was 57 years (interquartile range=4l-67). Most participants were women (63.1%). Approximately 90.4% (n=282) used smartphones, with 83.7% (n=261) reporting average or good usage proficiency. More than half (58.0%) accessed medical information via their smartphones, and 67.0% were familiar with QR codes. Multiple logistic regression analyses revealed that familiarity with QR codes was linked to age of <65 years [adjusted odds ratio (AOR)=4.593, 95% confidence interval (CI)=2.351-8.976, P<0.001], tertiary education (AOR=2.385, 95% CI=1.170-4.863, P=0.017), smartphone proficiency (A0R=4.703, 95% CI= 1.624-13.623, P=0.004) and prior smartphone usage to access medical information (AOR=5.472, 95% CI=2.790-10.732, P<0.001).

    CONCLUSION: Since smartphones were accessible to most primary care patients, and more than half of the patients were familiar with QR code scanning, QR code-based quality improvement projects can be used to improve services in our setting.

  3. Yeoh ZY, Jaganathan M, Rajaram N, Rawat S, Tajudeen NA, Rahim N, et al.
    J Glob Oncol, 2018 11;4:1-13.
    PMID: 30398950 DOI: 10.1200/JGO.17.00229
    PURPOSE: Late stage at presentation and poor adherence to treatment remain major contributors to poor survival in low- and middle-income countries (LMICs). Patient navigation (PN) programs in the United States have led to improvement in diagnostic or treatment timeliness, particularly for women in lower socioeconomic classes or minority groups. To date, studies of PN in Asia have been limited. We aimed to assess the feasibility of PN in a state-run hospital in an LMIC and to report the impact on diagnostic and treatment timeliness for patients in its first year of implementation.

    METHODS: We established PN in a dedicated breast clinic of a Malaysian state-run hospital. We compared diagnostic and treatment timeliness between navigated patients (n = 135) and patients diagnosed in the prior year (n = 148), and described factors associated with timeliness.

    RESULTS: Women with PN received timely mammography compared with patients in the prior year (96.4% v 74.4%; P < .001), biopsy (92.5% v 76.1%; P = .003), and communication of news (80.0% v 58.5%; P < .001). PN reduced treatment default rates (4.4% v 11.5%; P = .048). Among navigated patients, late stage at presentation was independently associated with having emotional and language barriers ( P = .01). Finally, the main reason reported for delay, default, or refusal of treatment was the preference for alternative therapy.

    CONCLUSION: PN is feasible for addressing barriers to cancer care when integrated with a state-run breast clinic of an LMIC. Its implementation resulted in improved diagnostic timeliness and reduced treatment default. Wider adoption of PN could be a key element of cancer control in LMICs.

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