Method: This study was conducted between November and December 2016 at two primary care clinics that offered integrated diabetes care at the time. These sites were selected to assess the discriminative validity of the PACIC. Site 1 is a Malaysian Ministry of Health-run primary care clinic while site 2 is a university-run hospital-based primary care clinic. Only site 1 annually monitors patient performance and encourages them to achieve their HbA1c targets using a standard checklist. Patients with diabetes mellitus who understood English were recruited. Participants were asked to fill out the PACIC at baseline and two weeks later.

Results: A total of 200 out of the 212 invited agreed to participate (response rate=94.3%). Confirmatory factor analysis confirmed the 5-factor structure of the PACIC. The overall PACIC score and the score in two of the five domains were significantly higher at site 1 than at site 2. The overall Cronbach's alpha was 0.924. At test-retest, intra-class correlation coefficient values ranged from 0.641 to 0.882.

METHODS: A validated, online-based survey was disseminated to 670 students from four Malaysian medical schools via random sampling. Scores were classified into good, moderate, or poor knowledge and practice, and positive, neutral, or negative attitude. Mann-Whitney U and Kruskal-Wallis tests were used to analyze the relationship between demographic variables and knowledge, attitude, and practice scores.

OBJECTIVE: This study aimed to describe the usability and utility testing of a newly developed medication adherence app-Med Assist-among ambulatory care patients in Malaysia.

METHODS: The Med Assist app was developed based on the Theory of Planned Behavior and the Nielson usability model. Beta testing was conducted from March to May 2016 at a primary care clinic in Kuala Lumpur. Ambulatory care patients who scored ≥40% on the electronic health literacy scale, were aged ≥21 years, and were taking two or more long-term medications were recruited. Two rounds of in-depth interviews were conducted with each participant. The first interview, which was conducted upon participant recruitment, was to assess the usability of Med Assist. Participants were asked to download Med Assist on their phone and perform two tasks (register themselves on Med Assist and enter at least one medication). Participants were encouraged to "concurrently think aloud" when using Med Assist, while nonverbal cues were observed and recorded. The participants were then invited for a second interview (conducted ≥7 days after the first interview) to assess the utility of Med Assist after using the app for 1 week. This was done using "retrospective probing" based on a topic guide developed for utilities that could improve medication adherence.

RESULTS: Usability and utility testing was performed for the Med Assist app (version P4). A total of 13 participants were recruited (6 men, 7 women) for beta testing. Three themes emerged from the usability testing, while three themes emerged from the utility testing. From the usability testing, participants found Med Assist easy to use and user friendly, as they were able to complete the tasks given to them. However, the details required when adding a new medication were found to be confusing despite displaying information in a hierarchical order. Participants who were caregivers as well as patients found the multiple-user support and pill buddy utility useful. This suggests that Med Assist may improve the medication adherence of patients on multiple long-term medications.

METHODS: The study consisted of two phases. In Phase 1, a 10-item instrument (SAIL-10) was developed and tested on a cohort of medical and pharmacy students who attended the workshop. In Phase 2, different cohorts of medical and pharmacy students completed SAIL-10 before and after participating in the workshop.

RESULTS: Factor analysis showed that SAIL-10 has two domains: "facilitators of interprofessional learning" and "acceptance to learning in groups". The overall SAIL-10 and the two domains have adequate internal consistency and stable reliability. The total score and scores for the two domains were significantly higher after students attended the prescribing skills workshop.

METHODS: The English version of the KDQOL-36 was translated according to international guidelines to Malay. Content validity was verified by an expert panel and piloted in five patients. Our instrument was then administered to patients with chronic kidney disease stage 1-3A and patients on hemodialysis at baseline and 4 weeks later.

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.

METHODS: The EBMQ was developed based on a qualitative study, literature review and an expert panel. Face and content validity was verified by the expert panel and piloted among 10 participants. Primary care physicians with or without EBM training who could understand English were recruited from December 2015 to January 2016. The EBMQ was administered at baseline and two weeks later. A higher score indicates better knowledge, better practice of EBM and less barriers towards the implementation of EBM. We hypothesized that the EBMQ would have three domains: knowledge, practice and barriers.

RESULTS: The final version of the EBMQ consists of 80 items: 62 items were measured on a nominal scale, 22 items were measured on a 5 point Likert-scale. Flesch reading ease was 61.2. A total of 343 participants were approached; of whom 320 agreed to participate (response rate = 93.2%). Factor analysis revealed that the EBMQ had eight domains after 13 items were removed: "EBM websites", "evidence-based journals", "types of studies", "terms related to EBM", "practice", "access", "patient preferences" and "support". Cronbach alpha for the overall EBMQ was 0.909, whilst the Cronbach alpha for the individual domain ranged from 0.657-0.940. The EBMQ was able to discriminate between doctors with and without EBM training for 24 out of 42 items. At test-retest, kappa values ranged from 0.155 to 0.620.

METHODOLOGY: We retrospectively reviewed computerized medical records of adults with suspected UTI between July-December 2016. Excluded were consultations misclassified by the search engine, duplicated records of the same patient, consultations for follow-up of suspected UTI, patients who were pregnant, catheterised, or who had a renal transplant. Records were reviewed by two primary care physicians and a clinical microbiologist.

RESULTS: From 852 records, 366 consultations were a fresh episode of possible UTI. Most subjects were female (78.2%) with median age of 61.5 years. The major co-morbidities were hypertension (37.1%), prostatic enlargement in males (35.5%) and impaired renal function (31.1%). Symptoms were reported in 349 (95.4%) consultations. Antibiotics were prescribed in 307 (83.9%) consultations, which was appropriate in 227/307 (73.9%), where the subject had at least one symptom, and leucocytes were raised in urine full examination and microscopic examination (UFEME). In 73 (23.8%) consultations antibiotics were prescribed inappropriately, as the subjects were asymptomatic (14,4.6%), urine was clear (17,5.5%), or UFEME did not show raised leucocytes (42,13.7%). In 7 (2.3%) consultations appropriateness of antibiotics could not be determined as UFEME was not available.

OBJECTIVES: The aim of this study was to cross-culturally adapt and validate the Malay MALMAS (M-MALMAS) in Malaysia.

METHODS: Adults with type 2 diabetes, who could understand Malay, were recruited between May 2016 and February 2017 from a primary care clinic in Kuala Lumpur, Malaysia. The M-MALMAS and the Malay version of the Morisky Medication Adherence Scale (MMAS-8) were administered at baseline to test for convergent validity. Four weeks later, the M-MALMAS was re-administered. Predictive validity of the M-MALMAS was assessed by correlating the medication adherence scores with levels of glycated haemoglobin (HbA1c).