METHODS: This cross-sectional study included 390 participants from a primary care clinic in Selangor, Malaysia, between February and June 2022. The inclusion criteria were high-CV risk individuals, that is, Framingham risk score >20%, diabetes without target organ damage, stage 3 kidney disease, and very high levels of low-density lipoprotein cholesterol (LDL-C) >4.9 mmol/L or blood pressure (BP) >180/110 mmHg. Individuals with existing CVD were excluded. The treatment targets were BP <140/90 mmHg (≤135/75 for diabetics), LDL-C <2.6 mmol/L, and HbA1c ≤6.5%. Multiple logistic regressions determined the association between sociodemographic, clinical characteristics, health literacy, and medication adherence with the achievements of each target.

RESULTS: About 7.2% achieved all treatment targets. Of these, 35.1% reached systolic and diastolic (46.7%) BP targets. About 60.2% and 28.2% achieved optimal LDL-C and HbA1c, respectively. Working participants had lower odds of having optimal systolic (aOR = 0.34, 95% CI: 0.13-0.90) and diastolic (aOR = 0.41, 95% CI: 0.17-0.96) BP. Those who adhered to treatments were more likely to achieve LDL-C and HbA1c targets; (aOR = 1.72, 95% CI: 1.10-2.69) and (aOR = 2.46, 95% CI: 1.25-4.83), respectively.

MATERIALS AND METHODS: A cross-sectional study conducted online, using Google FormTM recruited 207 Medical Officers from 14 public primary health centres, with a response rate of 74%. The Knowledge, Attitude and Practice Questionnaire for Family Physicians (KAPQFP) was used to assess PCPs' knowledge, attitude and practice in dementia care. Items in each domain were scored on a 4-point Likert scale, with scores ranging from 1 to 4. Each domain's mean score was divided by 4 and converted to a scale of 100, with higher scores indicating better knowledge, attitude and practice. Bivariate analyses were conducted to determine the factors associated with cognitive evaluation practice.

RESULTS: The overall mean practice score was 3.53±0.52 (88.3%), which is substantially higher than the mean score for perceived competency and knowledge of 2.46±0.51 (61.5%). The mean score for attitude towards dementia and collaboration with nurses and other healthcare professionals was 3.36±0.49 (84.0%) and 3.43±0.71 (85.8%), respectively. PCPs with prior dementia training showed better practice (p=0.006), as did PCPs with longer primary care work experience (p=0.038). A significant positive association was found between knowledge-practice ((rs=0.207, p=0.003), attitude towards dementia practice ((rs=0.478, p<0.001), and attitude towards collaboration with other healthcare professionals-practice (rs= 0.427, p<0.001). Limited time and inadequate knowledge regarding dementia diagnosis and cognitive evaluation tools were among the reasons cognitive evaluations were not performed.

METHODS: A qualitative study was conducted among patients and primary care trainees (known henceforth as doctors). Patients aged ≥ 60 years, having ≥ 1 chronic disease and prescribed ≥ 5 medications and could communicate in either English or Malay were recruited. Doctors and patients were purposively sampled based on their stage of training as family medicine specialists and ethnicity, respectively. All interviews were audio-recorded and transcribed verbatim. A thematic approach was used to analyse data.

RESULTS: Twenty-four in-depth interviews (IDIs) with patients and four focus group discussions (FGDs) with 23 doctors were conducted. Four themes emerged: understanding the concept of deprescribing, the necessity to perform deprescribing, concerns regarding deprescribing and factors influencing deprescribing. Patients were receptive to the idea of deprescribing when the term was explained to them, whilst doctors had a good understanding of deprescribing. Both patients and doctors would deprescribe when the necessity outweighed their concerns. Factors that influenced deprescribing were doctor-patient rapport, health literacy among patients, external influences from carers and social media, and system challenges.

MATERIALS AND METHODS: The CKD-CHECK (CKD-CHECK EGFR Chart in Kidney disease) is a toolkit that was developed to auto-generate patients' eGFR trend using a line graph, displaying the trend visually over a year. It identifies patients with rapid CKD progression, triggers the doctors to order appropriate tests (proteinuria quantification or renal imaging) and helps in decision making (continued monitoring at primary care level or referral to nephrologist). The toolkit was piloted among medical officers practising in a hospital-based primary care clinic treating patients with eGFR<60ml/min/1.73m2 using an interventional before-after study design from February to May 2022. In the preintervention period, the CKD patients were managed based on standard practice. The doctors then used the CKDCHECK toolkit on the same group of CKD patients during the intervention period. The feasibility and acceptability of the toolkit was assessed at the end of the study period using the Acceptability of Intervention Measure (AIM) and Feasibility of Intervention Measure (FIM) questionnaires. All patients' clinical data and referral rate were collected retrospectively through medical files and electronic data systems. Comparison between the pre- and post-intervention group were analysed using paired t-test and McNemar test, with statistical significance p value of <0.05.

RESULTS: A total of 25 medical officers used the toolkit on 60 CKD patients. The medical officers found the CKD-CHECK toolkit to be highly acceptable and feasible in primary care setting. The baseline characteristics of the patients were a mean age of 72 years old, predominantly females and Chinese ethnicity. Majority of the CKD patients had diabetes mellitus, hypertension and dyslipidemia. The numbers of CKD rapid progressors was similar (26.7% in the preintervention group vs 33.3% in the post-intervention group). There were no significant differences in terms of proteinuria assessment and ultrasound kidney for CKD rapid progressors before and after the intervention. However, a significant number of CKD rapid progressors were referred to nephrologists after the use of CKD-CHECK toolkit (p=0.016).

METHODS: This qualitative study used in-depth interviews and focus group discussions to obtain information from patients with gout under follow-up in primary care and doctors who cared for them. Patients and doctors shared their gout management experiences and views on implementing HLA-B*58:01 screening in primary care. Data were coded and analysed using thematic analysis.

RESULTS: 18 patients and 18 doctors from three different healthcare settings (university hospital, public health clinics, private general practitioner clinics) participated. The acceptability to HLA-B*58:01 screening was good among the doctors and patients. We discovered inadequate disclosure of severe side effects of allopurinol by doctors due to concerns about medication refusal by patients, which could potentially be improved by introducing HLA-B*58:01 testing. Barriers to implementation included out-of-pocket costs for patients, the cost-effectiveness of this implementation, lack of established alternative treatment pathway besides allopurinol, counselling burden and concern about genetic data security. Our participants preferred targeted screening for high-risk populations instead of universal screening.

METHODS: In the first part of this study, document reviews were conducted to compile relevant information about the conceptualization and implementation of this service. Following that, we also obtained secondary data on the echocardiographic screening service from its first implementation in April 2020 until May 2021 to examine the uptake and the patient profile.

RESULTS: From April 2020 to May 2021, a total of 189 echocardiographic screening was conducted by primary care doctors using handheld ultrasound. Of the 189 children screened, 19 (10.1%) were found to have cardiac anomalies and were referred for a formal echocardiogram. Upon follow-up, 8 were detected with mild mitral regurgitation and referred to the nearest tertiary hospital for further management.

MATERIALS AND METHODS: This is a retrospective crosssectional study reviewing the medical records of patients seen by visiting nephrologists from January 2019 to December 2021 in Greentown Health Clinic. The study population are patients with CKD stage 3b, 4 and 5 who are followed up in Greentown Health Clinic. Universal sampling was done, a total of 87 patients reviewed at least once by the visiting nephrologist and with retrievable medical records were included in the study. Those whose medical records were irretrievable were excluded. Blood pressure, urine protein, fasting blood sugar (FBS), glycated haemoglobin (HbA1c), serum creatinine, eGFR and fasting lipid profile (FLP) pre- and post-visits were collected by reviewing patient medical records and laboratory results. The results were then analysed and compared using SPSS version 26.

RESULTS: The median age of patients in this study was 66 years of age, the majority were male patients (54%) and Malay ethnicity (62.1%). Absence of urine microalbuminuria pre and post referral remain the same (n = 11). During prenephrologist visits, a higher percentage of patients exhibited moderate (30-300 mg/g) and severe (>300 mg/g) increase in urine albuminuria (15.7% and 7.2%, respectively) compared to the post-referral period. In patients with significant urine protein pre-referral, patient group with urine protein 3+ showed the highest increment of 30.1% (n = 22), in comparison to 19.3% (n = 16) observed during prereferral. Statistically significant clinical outcomes between pre- and post-referral to the nephrologist include reduction of systolic blood pressure [141±15 mmHg versus 135 ±12 mmHg, p = 0.001] and diastolic blood pressure [median = 80 mmHg (IQR: 10) versus median=71 mmHg (IQR: 17), p < 0.001]. Similarly, total cholesterol [median = 4.4 mmol/L (IQR: 1.4) versus median = 4.0 mmol/L (IQR: 1.5, p = 0.001] and LDL [median = 2.5 mmol/L (IQR: 1.2) versus median = 2.2 mmol/L (IQR: 1.2), p < 0.001)] exhibited statistically significant differences between pre- and post-referral. However, HDL remained unchanged and other outcome variables showed no significant differences.