DESIGN: This longitudinal qualitative study was informed by the Normalisation Process Model and involved audiotaped semi-structured individual interviews with front-line clinicians before (Time 1) and after (Time 2) the PIPC intervention. The Framework Method was used in the thematic analysis of pre/post interview transcripts.
SETTING: Two government-operated primary care clinics in Penang, Malaysia.
PARTICIPANTS: 17 primary care medical, nursing and allied health staff recruited purposely to achieve a range of disciplines and a balanced representation from both clinics.
INTERVENTION: Psychiatrists, accompanied by medical students in small numbers, provided one half-day consultation visit per week, to front-line clinicians in each clinic over an 8-month period. The service involved psychiatric assessment of patients with suspected CMDs, with face-to-face discussion with the referring clinician before and after the patient assessment.
RESULTS: At Time 1 interviewees tended to equate CMDs with stress and embraced a holistic model of care while also reporting considerable autonomy in mental healthcare and positively appraising their current practices. At Time 2, post-intervention, participants demonstrated a shift towards greater understanding of CMDs as treatable conditions. They reported time pressures and the demands of key performance indicators in other areas as barriers to participation in PIPC. Yet they showed increased awareness of current service deficits and of their potential in delivering improved mental healthcare.
CONCLUSIONS: Despite resource-related and structural barriers to implementation of national mental health policy in Malaysian primary care settings, our findings suggest that front-line clinicians are receptive to future interventions designed to improve the mental healthcare capacity.
METHOD: Compartmental models were fitted. The final model was determined based on the objective function value and inspection of goodness-of-fit plots. The bias and precision of parameter estimates were compared between SAEM and FOCEi using stochastic simulations and estimations. For robustness, parameters were re-estimated as the initial estimates were perturbed 100 times and resultant changes evaluated.
RESULTS: The absorption kinetics of metformin depend significantly on food status. Under the fasted state, the first-order absorption into the central compartment was preceded by zero-order infusion into the depot compartment, whereas for the fed state, the absorption into the depot was instantaneous followed by first-order absorption from depot into the central compartment. The means of relative mean estimation error (rMEE) ( ME E SAEM ME E FOCEi ) and rRMSE ( RMS E SAEM RMS E FOCEi ) were 0.48 and 0.35, respectively. All parameter estimates given by SAEM appeared to be narrowly distributed and were close to the true value used for simulation. In contrast, the distribution of estimates from FOCEi were skewed and more biased. When initial estimates were perturbed, FOCEi estimates were more biased and imprecise.
DISCUSSION: nlmixr is reliable for NLMEM. SAEM was superior to FOCEi in terms of bias and precision, and more robust against initial estimate perturbations.
MATERIALS AND METHODS: This is a retrospective observational study involving real-world data analysis, looking into TB patients in Lubok Antu Health Clinic by obtaining data through clinic cards, from 1 January 2019 till 31 December 2020. Statistical significance was p < 0.05.
RESULTS: Eighty-four patients were included. Fifty-two (61.9%) were male. Median age was 58.5 (39-67). Forty-six (54.8%) had smear-positive TB. Seventy-eight (92.9%) were alive at treatment completion. Fifteen (17.9%) experienced adverse drug reactions. Estimated prevalence and mortality rate were 7.1% and 10.7 per 100,000 populations, respectively. Regression analyses revealed that drug reaction was significantly associated with compliance [OR = 8.38 (95% CI: 1.26, 55.53), p = 0.029]. Patients compliant with treatment were more likely to survive [OR = 12.5 (95% CI: 1.61, 97.34), p = 0.028].
CONCLUSION: Compliance with TB treatment should be emphasised to reduce TB-related mortality.
METHODS: This is a retrospective cross-sectional study that included patients with AIS admitted to Hospital Sultanah Nur Zahirah, Malaysia from 2017 to 2020. SAP was defined as infection with pneumonia during the first seven days after IS. HG was defined as a blood glucose level > 7.8 mmol/L within 72 h after admission. Patients with SAP were divided into two groups according to HG status. Multivariate logistic regression analysis was performed using SPSS software, version 22 (IBM Corp., Armonk, NY) to identify SAP predictors among patients with HG. Kaplan-Meier log-rank test was used to compare the survival rate from unfavourable functional outcomes between hyperglycaemic patients with and without SAP.
RESULTS: Among 412 patients with AIS, 69 (16.74%) had SAP. The prevalence of SAP among patients with HG and normoglycemia during AIS was 20.98%, and 10.65%, respectively. Age above 60 years, leucocytosis, and National Institute of Health Stroke Scale (NIHSS) > 14 on admission were independent predictors of SAP with aOR of 2.08 (95% CI;1.01-4.30), 2.83 (95% CI; 1.41-5.67), and 3.67 (95% CI; 1.53-8.80), respectively. No significant difference in unfavourable functional outcomes survival was found among patients with and without SAP (p = 0.653).
CONCLUSION: This study demonstrated the prevalence of SAP was higher among patients with HG compared to normoglycemia during AIS. The patient being old, leucocytosis and severe stroke upon admission predict the occurrence of SAP among patients with HG during AIS.
METHODS: This cross-sectional online questionnaire study was conducted nationwide among 627 HCPs in Malaysia using the Acute Stroke Management Questionnaire (ASMaQ). Multiple logistic regression was used to predict the relationship between the independent variables (age, gender, years of service, profession, work setting, work sector, seeing stroke patients in daily practice, and working with specialists) and the outcome variable (good vs poor knowledge).
RESULTS: Approximately 76% (95% CI [73-79%]) of HCPs had good overall knowledge of stroke. The highest proportion of HCPs with good knowledge was noted for General Stroke Knowledge (GSK) [88.5% (95% CI [86-91%])], followed by Advanced Stroke Management (ASM) [61.2% (95% CI [57-65%])] and Hyperacute Stroke Management (HSM) [58.1% (95% CI [54-62%])]. The odds of having poor knowledge of stroke were significantly higher among non-doctor HCPs [adjusted OR = 3.46 (95% CI [1.49-8.03]), P = 0.004]; among those not seeing stroke patients in daily practice [adjusted OR = 2.67 (95% CI [1.73-4.10]), P < 0.001]; and among those working without specialists [adjusted OR = 2.41 (95% CI [1.38-4.18]), P = 0.002].
CONCLUSIONS: Stroke education should be prioritised for HCPs with limited experience and guidance. All HCPs need to be up-to-date on the latest AIS management and be able to make a prompt referral to an appropriate facility. Therefore, more stroke patients will benefit from advanced stroke care.
METHODS: In the population cohort involved in this study, data were extracted from 7,697 patients with a history of first IS attack registered with the National Neurology Registry of Malaysia from 2009 to 2016. A time-to-recurrent IS model was developed using NONMEM version 7.5. Three baseline hazard models were fitted into the data. The best model was selected using maximum likelihood estimation, clinical plausibility, and visual predictive checks.
RESULTS: Within the maximum 7.37 years of follow-up, 333 (4.32%) patients had at least one incident of recurrent IS. The data were well described by the Gompertz hazard model. Within the first 6 months after the index IS, the hazard of recurrent IS was predicted to be 0.238, and 6 months after the index attack, it reduced to 0.001. The presence of typical risk factors such as hyperlipidemia [HR, 2.22 (95%CI: 1.81-2.72)], hypertension [HR, 2.03 (95%CI: 1.52-2.71)], and ischemic heart disease [HR, 2.10 (95%CI: 1.64-2.69)] accelerated the hazard of recurrent IS, but receiving antiplatelets (APLTs) upon stroke decreased this hazard [HR, 0.59 (95%CI: 0.79-0.44)].
CONCLUSION: The hazard of recurrent IS magnitude differs during different time intervals based on the concomitant risk factors and secondary prevention.
METHODS: A total of 4005 diabetic patients who had a history of ischemic stroke were identified in a retrospective cross-sectional dataset from the Malaysian National Neurology Registry. Patients were classified based on BMI, and multivariable regression analysis was used to evaluate the association between risk factors and recurrent ischemic stroke.
RESULTS: Among obese patients, those with ischemic heart disease (aOR, 1.873; 95% CI, 1.131-3.103), received formal education (aOR, 2.236; 95% CI, 1.306-3.830), and received anti-diabetic medication (aOR, 1.788; 95% CI, 1.180-2.708) had a higher stroke recurrence risk, while receiving angiotensin receptors blockers (aOR, 0.261; 95% CI, 0.126-0.543) lowered the odds of recurrence. Overweight patients with hypertension (aOR, 1.011; 95% CI, 1.002-1.019) for over 10 years (aOR, 3.385; 95% CI, 1.088-10.532) and diabetes prior to the first stroke (aOR, 1.823; 95% CI, 1.020-3.259) as well as those received formal education (aOR, 2.403; 95% CI, 1.126-5.129) had higher odds of stroke recurrence, while receiving angiotensin-converting enzyme inhibitors (aOR, 0.244; 95% CI, 0.111-0.538) lowered the recurrence risk. Normal weight East Malaysians (aOR, 0.351; 95% CI, 0.164-0.750) receiving beta-blockers (aOR, 0.410; 95% CI, 0.174-0.966) had lower odds of stroke recurrence.
CONCLUSIONS: Ischemic heart disease, hypertension, receiving anti-hypertensive agents, and educational level were independent predictors of recurrent stroke in obese patients. Managing the modifiable risk factors can decrease the odds of stroke recurrence.
Method: The data of 4622 patients with T2DM who had a history of stroke was obtained from the Malaysian National Stroke Registry. Univariate analysis was performed to differentiate between genders with and without stroke recurrence in terms of demographics, first stroke attack presentations, and other clinical characteristics. The significant factors determined from the univariate analysis were further investigated using logistic regression.
Results: Ischemic heart diseases were found significantly associated with the stroke recurrence in males (OR = 1.738; 95% CI: 1.071-2.818) as well as female (OR = 5.859; 95% CI: 2.469-13.752) diabetic patients. The duration of hypertension, as well as the duration of diabetes, has been associated with the recurrence in both male and female subjects (p value < 0.05). Smoking status has an impact on the stroke recurrence in male subjects, while no significant association was observed among their peers.
Conclusions: Most of the predictive factors contributing to the recurrence of stroke in type 2 diabetic Malaysian population with a history of stroke are modifiable, in which IHD was the most prominent risk factor in both genders. The impact of optimizing the management of IHD as well as blood glucose control on stroke recurrence may need to be elucidated. No major differences in recurrent stroke predictors were seen between genders among the Malaysian population with type 2 diabetes mellitus who had a previous history of stroke.
METHODS: Data of 3386 patients <60 years old who had a history of index IS were extracted from the Malaysian National Neurology Registry (NNEUR) from 2009 to 2016. Recurrent IS was defined as any IS event recorded after the index IS in the NNEUR database. Multivariate logistic regression analysis was performed by using SPSS version 22.
RESULTS: Ischemic heart disease (IHD) was the significant predictor of IS recurrence in non-elderly adults both with or without diabetes (adjusted odds ratio (AOR) of 3.210; 95%CI: 1.909-5.398 and 2.989; 95%CI: 1.515-5.894) respectively). Receiving antiplatelet as secondary stroke prevention (AOR: 0.194; 95%CI: 0.046-0.817) and continuation of antidiabetic medication after the index IS event (AOR: 0.510; 95%CI: 0.298-0.872) reduced the odds of IS recurrence only in non-elderly diabetic adults. Among non-elderly adults without diabetes, hyperlipidemia and every increased in 1 mmHg of systolic blood pressure significantly increased the odds of IS recurrence following the indexing event (AOR: 1.796; 95%CI: 1.058-3.051 and 1.009; 95%CI: 1.002-1.016 respectively).
CONCLUSION: IHD was found as the main predictor of IS recurrence regardless of diabetes status in non-elderly adults after the index IS event. Receiving antidiabetic and antiplatelet medications upon discharge after index IS were significant predictors of recurrent IS in non-elderly diabetic adults. A proper randomized clinical trial may be required to determine the impact of secondary preventive medication on IS recurrence, especially in non-elderly adults.