METHOD: A total of 557 public hospital HCWs in Melaka were recruited via probability sampling. A questionnaire guided by the theory of planned behaviour was developed, pre-tested and distributed. Malaysians with a minimum employment period of 12 months who experienced WPV within the same period in the selected public hospitals were eligible for inclusion. Multiple logistic regression analysis was conducted to determine the association between the independent variables and WPV reporting.
RESULTS: Psychological violence was the most common WPV (80.3%), with only 177 (31.8%) respondents reporting such. The respondents who had high subjective norm (adjusted odds ratio [AOR]=2.160, 95% confidence interval [CI]=1.32-3.53) and perceived behavioural control scores (AOR=3.976, 95% CI=2.41-6.55); were clinical (AOR=2.679, 95% CI=1.43-5.02) and non-clinical (AOR=4.271, 95% CI=2.23-8.18) support staff; experienced physical WPV (AOR=13.157, 95% CI=3.83-45.24) and both physical and psychological WPV (AOR=2.029, 95% CI= 1.13-3.65); and perceived that WPV was intentional (AOR=11.111, 95% CI=6.50-19.00) were more likely to report WPV.
CONCLUSION: HCWs who experience physical WPV have the highest likelihood to report, followed by those who perceive WPV as intentional. The prevalence of reported WPV among public hospital HCWs is low, potentially underestimating its true occurrence owing to underreporting. Ensuring readily available reporting mechanisms for WPV, especially the psychological type, is crucial for HCWs.
Methods: A retrospective cross-sectional study was conducted between January 2018 and March 2018 using secondary data from the Malaysian National Obstetric Registry (NOR) for the year 2015. All pregnant women with first-trimester booking at 12 weeks and below that were registered with the NOR and met the inclusion and exclusion criteria were included in the study. Descriptive statistics and multiple logistic regression analysis were used. Data were analysed using SPSS version 22.0. A total of 2113 respondents were included in this study to determine the proportion, associated factors and outcomes of maternal obesity. Regarding the univariate and multivariate analyses, respondents were classified into two groups: normal and obese. The obese group comprised overweight and obese mothers. The underweight group was excluded in the subsequent analysis.
Results: Out of the 2113 respondents, 7.1% were underweight, 41.7% were of normal weight, 28.6% were overweight, 15.9% were in obese class I, 4.6% were in obese class II, and 2.1% were in obese class III according to the WHO (1995) reference. However, when the MOH (2003) cutoff point was used, there was a marked increase in the proportion of respondents in the overweight categories by 2.7% and obesity class I by 12.8%. The Indian (AdjOR 2.06, 95% CI: 1.11, 3.83, p=0.021) and Malay (AdjOR 1.75, 95% CI: 1.02, 3.00, p=0.040) ethnicities, as well as both multiparity (AdjOR 1.46, 95% CI: 1.23, 1.73, p <0.001) and grand multiparity (AdjOR 2.41, 95% CI: 1.78, 3.26, p <0.001), were significantly associated with maternal obesity. There were significant association between maternal obesity with hypertensive disorder in pregnancy (p=0.025), caesarean section delivery (p=0.002) and macrosomic infant (p <0.001).
Conclusion: The identification of risk factors for maternal obesity is important to facilitate intervention programmes focused on improving the pregnancy outcomes for a high-risk group of women.
Methods: A retrospective review of electronic medical records was conducted to assess the prescription of SPMs among patients with coronary artery disease who attended the clinic between 1st January 2018 and 31st December 2018. Prescriptions of SPMs were documented in numbers and percentages. Multiple logistic regressions were used to analyse factors associated with the prescription of SPMs.
Results: Of the 662 patients included in the study, 99.1% were prescribed statins, 97% antiplatelets, 81.7% angiotensin-converting enzyme (ACE)-inhibitors or angiotensin II receptor blockers (ARBs), and 78.7% beta-blockers. Male patients were more likely to be prescribed statins (OR = 8.584, 95% CI: 1.431 - 51.510) and antiplatelets (OR = 6.818, 95% CI: 2.294 - 20.257). Another significant factor for antiplatelets prescription was having diabetes (OR = 3.318, 95% CI: 1.148 - 9.590). Having hypertension was associated with ACE-inhibitors or ARBs prescription (OR = 4.008, 95% CI: 2.522 - 6.370).
Conclusion: Although the majority of patients received SPMs, there were significant disparities for some SPMs prescriptions among female patients. As these medications are widely available in the Malaysian primary care setting, steps should be taken to ensure that these medications are prescribed equally for all eligible patients.
METHOD: This cross-sectional study was conducted in a primary care clinic from 1 June to 31 August 2019 using the Patient Health Questionnaire-9.
RESULTS: The prevalence of suspected depression was 9.0%. The significant predictors of depression were Indian ethnicity (adjusted odd ratio [AOR]: 2.373; confidence interval [CI]: 1.147-4.907), divorce (AOR: 3.5; CI: 1.243-9.860), singleness (AOR: 2.241; CI: 1.182-4.251), heavy episodic drinking (AOR: 7.343; CI: 2.494-21.624), low physical activity level (AOR: 1.921; CI: 1.0932.274), low fibre intake (AOR: 1.836; CI: 1.061-3.178), uncontrolled blood pressure (AOR: 1.800; CI: 1.134-2.858) and presence of hypertension complications (AOR: 3.263; CI: 2.053-5.185).
CONCLUSION: Primary health care providers must screen for depression among patients with hypertension, particularly those within high-risk groups, and implement interventions that address modifiable risk factors.
METHODS: This study included 110 patients with leprosy from Likupang and Lembata, Indonesia. Hand function was assessed using the modified Jebsen test to measure hand function respective of the dominance. The grip and pinch strength were used as objective measures of clinical arm function. The World Health Organization (WHO) hand disability grade were used to determine the degree of impairment. Other factors such as age, sex and the type of leprosy were also considered. All factors were analysed using backward logistic regression.
RESULTS: Among the 110 participants, a decrease in the dominant (48.2%) and non-dominant (50.9%) hand functions were found. Pinch strength (OR: 3.39; 95% CI: 1.13-10.19) and age (OR: 4.91; 95% CI: 1.72-14.03) were significantly associated with hand function irrespective of the dominance. Conversely, the WHO hand disability grade (OR: 2.97; 95% CI: 1.10-8.04) and type of leprosy (OR: 0.34; 95% CI: 0.12-0.97) were significantly associated with only function of the dominant hand.
CONCLUSION: There is a significant association of age and pinch strength with hand function regardless of the hand dominance. In contrast, the WHO hand disability grade and type of leprosy are significantly associated with the function of the dominant hand only.
METHOD: A cross-sectional study was conducted using the systematic sampling method in four government primary healthcare clinics in Sarawak. A self-administered questionnaire was used to obtain socio-demographic data and evaluate non-adherence. Blood pressure was measured, and relevant clinical variables were collected from medical records. Multivariate logistic regression was used to determine the determinants of medication non-adherence.
RESULTS: A total of 488 patients with uncontrolled hypertension were enrolled in this study. The prevalence of medication non-adherence was 39.3%. There were four predictors of medication non-adherence among the patients with uncontrolled hypertension: tertiary educational level (odds ratio [OR]=4.21, 95% confidence interval [CI] = 1.67-10.61, P=0.010), complementary alternative medication (0R=2.03, 95% CI=1.12-3.69, P=0.020), non-usage of calcium channel blockers (0R=1.57, 95% CI=1.02-2.41, P=0.039) and 1 mmHg increase in the systolic blood pressure (0R=1.03, 95% CI=1.00-1.05, P=0.006).
CONCLUSION: Because of the high prevalence of medication non-adherence among patients with uncontrolled hypertension, primary care physicians should be more vigilant in identifying those at risk of being non-adherent. Early intervention should be conducted to address non-adherence for blood pressure control.