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Take C.A.R.E of patient safety: A call to action

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.
Fulltext Measuring population health and quality of life: Developing and testing of the significant quality of life measure (SigQOLM)

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.
A cross-sectional study on the second victim experience and support at Sarawak General Hospital: A tertiary public hospital in Borneo Island, Malaysia

Kim ARJ, Hon YK, Guan CA, Lai WH, Bujang MA, Peter S, et al.

Med J Malaysia, 2025 Jan;80(1):81-87.
PMID: 39812433

INTRODUCTION: Second victim experience (SVE) refers to the emotional and psychological impact experienced by healthcare providers who are involved in patient safety incidents (PSIs). Despite growing awareness of patient safety in healthcare organizations, remedial actions often focus only on the first victim, the patient. Therefore, it is important to recognize and address the emotional and physical toll that PSIs to ensure the well-being of and to promote a culture of safety in healthcare settings. Hence, this study was initiated to determine the prevalence of SVE, assess symptoms related to SVE and evaluate the level of support needed by healthcare providers.
MATERIALS AND METHODS: The Second Victim Experience and Support Tool for Recovery (SVEST-R) questionnaire was utilized to conduct an anonymous survey on the healthcare providers in Sarawak General Hospital (SGH) from August to October 2018.
RESULTS: A total of 482 respondents participated in the survey and 46.1% of the respondents reported SVE following their involvement in PSIs. Notably, symptoms such as flashbacks, fear, and stress tend to persist for longer durations compared to other symptoms. It is worth noting that non-work-related support received the highest mean (medical doctors = 3.83; nurses = 3.70), indicating that respondents preferred to seek emotional support from their friends and families. Furthermore, nurses reported a significantly higher experience of absenteeism following PSIs than doctors (p=0.003). In addition, most respondents expressed a desire for discussion or counselling with a respected peer or supervisor following their involvement in PSIs.
CONCLUSION: Present study reported a relatively high prevalence of SVE among healthcare providers at SGH. Hence, proactive measures, including non-work related and supervisor support, are essential in facilitating their overall well-being and successful recovery.
Fulltext Quality of life and overall well-being between healthy individuals and patients with varied clinical diagnoses

Bujang MA, Lai WH, Tiong XT, Ratnasingam S, Kim ARJ, Husin M, et al.

BMC Public Health, 2025 Feb 04;25(1):443.
PMID: 39905413 DOI: 10.1186/s12889-025-21475-3

BACKGROUND: Chronic diseases are known to detrimentally impact an individual's quality of life (QOL) and well-being. Therefore, this study aims to evaluate the QOL and overall well-being among both healthy individuals and those with diverse primary diagnoses.
METHODS: This is a cross-sectional study and data collection took place from May 2022 to May 2023. Information regarding healthy participants was gathered from healthcare workers without any comorbidities. Data for non-healthy participants were collected from individuals diagnosed with various conditions across four specialist clinics: nephrology, oncology, psychiatry, and cardiology. All participants completed the Significant Quality of Life Measures (SigQOLM), a comprehensive assessment tool consisting of 69 items that evaluate 18 domains of QOL and well-being.
RESULTS: The study included a total of 452 participants, with 284 (62.8%) classified as healthy. Among the non-healthy participants, 41 (9.1%) had end-stage renal diseases (ESRD), 48 (10.6%) were diagnosed with cancer, 40 (8.8%) had depressive disorder, and the remaining had heart disease (8.6%). Statistical analysis revealed significant differences (p