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  1. Kim ARJ, Chew KS, Ngian HU
    Med J Malaysia, 2024 Nov;79(6):800-802.
    PMID: 39614801
    In a dynamic healthcare environment, patient safety is crucial. A "Conscious Actions Reduce Errors" (C.A.R.E) approach is needed to safeguard safety and reduce medical errors. The dual process theory highlights two thinking modes: intuitive (fast, automatic) and analytical (slow, deliberate). Intuitive thinking, though quick and often effective, can lead to cognitive biases like anchoring and availability heuristics. A C.A.R.E approach incorporating tools like the TWED checklist (Threat, What if I'm wrong? What else?, Evidence, Dispositional factors) and Shisa Kanko (Japanese method of pointing and calling) can help to improve decision-making and action precision in clinical settings.
  2. Bujang MA, Lai WH, Hon YK, Yap EPP, Tiong XT, Ratnasingam S, et al.
    Heliyon, 2023 Dec;9(12):e22668.
    PMID: 38149205 DOI: 10.1016/j.heliyon.2023.e22668
    Quality of life (QOL) should ideally be determined by a broader spectrum of measurable parameters. This study aims to develop and validate a study instrument that is designed to determine a holistic measure of health and non-health aspects of QOL, and it is called the 'Significant Quality of Life Measure' (SigQOLM). This study involves five phases which aim to (i) explore and understand the subject matter content, (ii) develop a questionnaire, (iii) assess its content validity and face validity, (iv) conduct a pilot study, and lastly (v) perform a field-test by using the questionnaire. For the field-testing phase, a cross-sectional study was conducted which elicited responses from healthcare workers via a self-administered survey for all the SigQOLM items. Based on the results, the overall framework of the SigQOLM consists of four elements, 18 domains with 69 items. The element of "Health" is measured by nine domains, while "Relationships", "Functional activities, and "Survival" are measured by three domains respectively. The SigQOLM has been developed successfully and then validated with a high level of reliability, validity, and overall model fit. Therefore, the SigQOLM will provide researchers and policymakers another viable option to elicit a more comprehensive outcome measure of QOL which shall then enable them to implement specific interventions for improving the QOL of all the people, both healthy or otherwise.
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