MATERIALS AND METHODS: This was a cross-sectional study conducted amongst all government pharmacists in Perak. We excluded those who did not consent or were unreachable electronically. The researchers provided an online link that was forwarded to all heads of departments in Perak via social media. The respondents answered their demographic details, questions assessing their knowledge of NSI transmissible diseases, needle-stick handling practices, detail experiences of them suffering an NSI (all self-developed questionnaires), and their barriers in reporting an NSI (validated questionnaire). All responses were auto-tabulated in an excel sheet. A sample size of 516 pharmacists was needed for this study. A respondent was deemed to have inadequate knowledge when they answered any question wrongly about NSI knowledge-related questions and inappropriate practice in needle handling when respondents answered any questions wrongly for questions assessing practices.
RESULTS: A total of 524 pharmacists participated. The overall prevalence of NSI was 23.1% (n=121), of which, those with contaminated NSI were 10.3% (n=54, 95%CI: 7.9-13.30). Twothirds of the participants (66.6%) had inadequate knowledge and nearly all of them were unable to describe the appropriate needle-handling practices (94.7%). Amongst the reported barriers were "not knowing whose duty it was to report an NSI" (45.5%) and "busy schedules" (44.7%).
CONCLUSION: One in every five pharmacists in the state of Perak had a history of NSI, and 1 in every 10 had sustained a contaminated NSI. The barriers to reporting a NSI were mainly due to uncertainty about whose responsibility to report the incident and being too busy to report it.
METHODS: Manual segmentation involved selecting a region-of-interest (ROI) in images from the Bosphorus dataset to generate ground truth data. The HHM combined histogram equalization and morphological and thresholding-based algorithms to localize veins from hand images. The data were divided into training, validation, and testing sets with an 8:1:1 ratio before training AlexNet. We considered three image augmentation strategies to enlarge our training sets. The best training hyperparameters were found using the manually segmented dataset.
RESULTS: We obtained a good test accuracy (91.5%) using the model trained with manually segmented images. The HHM method showed slightly inferior performance (76.5%). Considerable improvement was observed in the test accuracy of the model trained with the inclusion of automatically segmented and augmented images (84%), with low false acceptance and false rejection rates (0.00035% and 0.095%, respectively). A comparison with past studies further demonstrated the competitiveness of our technique.
CONCLUSIONS: Our technique can be feasible for extracting the ROI in DHV images. This strategy provides higher consistency and greater efficiency than the manual approach.
Objective: Here, we report three cases of AS that were diagnosed after the patients developed AAU. Methods: A case series illustrated AAU leading to the diagnosis of AS years after the initial episode of low back pain. A comparison of the clinical presentation, diagnosis, and outcomes was also illustrated.
Result: We report three cases of acute anterior uveitis (AAU)-associated AS diagnosed only after many visits to the primary health care provider with the complaint of chronic low back pain. All three patients had irreversible radiological changes upon diagnosis of AS. The AAU resolved with topical steroids, and one patient developed cataract.
Conclusion: A high index of suspicion of AS in a young adult with chronic back pain before the development of AAU may prevent further functional loss and provide a better prognosis. Diagnosis of AS following AAU is not only associated with dependency but also may rob the vision of a young adult.
RESULTS: Of the 141 participants, most were mothers (90.8%) and had a full-time job (55.3%). Most of them had adequate medication-related knowledge (71.6%) and an appropriate administration practice (83.0%). The majority of them (83.0%) also rated themselves as adherent to medication administration. The participants with a child above 5 years of age (91.2%) were found to have a better practice than those with younger children (75.3%) in medication administration (p = 0.012). However, those with a child taking two (adjusted OR: 12.53) or three (adjusted OR: 8.29) medications, getting their refills from private health institutions apart from this hospital (adjusted OR = 7.06) and having multiple illnesses (adjusted OR = 21.25) were more likely to be not adherent to medication administration.
CONCLUSION: Caregivers of chronically ill children in Malaysia generally have sufficient knowledge and an appropriate practice of medication administration at home. Yet, strategies to improve the adherence to medication administration, particularly in those who care for children with complicated health conditions, are warranted.
METHOD: This cross-sectional study was conducted between April to June 2020 in Malaysia. Patients who have recovered from COVID-19 for at least 1 month and their family members who were tested with negative results, Malaysian and aged 18-65 years old were purposively sampled. Cold call method was employed to recruit patients while their family members were recruited by their recommendations. Telephone interviews were conducted with the participants after obtaining their verbal consent.
RESULTS: A total of 18 participants took part in this study. Three themes emerged from the interviews: (Ι) experience of stigmatization, (ΙΙ) perspective on disease disclosure, and (ΙΙΙ) suggestion on coping and reducing stigma. The participants expressed their experiences of being isolated, labelled, and blamed by the people surrounding them including the health care providers, neighbours, and staff at the service counters. Some respondents expressed their willingness to share their experience with others by emphasizing the importance of taking preventive measure in order to stop the chain of virus transmission and some of them chose to disclose this medical history for official purpose because of fear and lack of understanding among the public. As suggested by the respondents, the approaches in addressing social stigma require the involvement of the government, the public, health care provider, and religious leader.
CONCLUSION: Individuals recovered from COVID-19 and their families experienced social stigma. Fear and lack of public understanding of the COVID-19 disease were the key factors for non-disclosure. Some expressed their willingness to share their experience as they perceived it as method to increase public awareness and thereby reducing social stigma. Multifaceted approaches with the involvement of multiple parties including the government, non-governmental organization as well as the general public were recommended as important measures to address the issues of social stigma.
METHOD: This qualitative study involved four trained researchers conducting in-depth interviews (IDI) based on a semi-structured interview guide. The participants were ICU patients and family members. All IDIs were audio-recorded and transcribed verbatim. Four researchers independently analyzed the data via thematic analysis with the aid of QDA Miner Lite®. The themes and subthemes were generated and confirmed by literature and expert opinion.
RESULTS: Six IDIs were conducted with three patients and three family members, whose ages ranged from 31 to 64 years old. One pair of participants consisted of a patient and his respective family member, while the other four participants did not have a familial relationship with each other. Three main themes emerged from the analysis: (I) critical care services; (II) physical spaces; and (III) monitoring technology. Medical, psychological, physical, and social needs for critical care services were expressed by both patients and family members. Patients' needs in clinical spaces were highlighted as a conducive ICU environment with ambient temperature and controlled noise levels. In non-clinical spaces, family members expressed a need for more chairs in the waiting area. Participants expressed the need for call bells as well as patients' negative perceptions of medical equipment alarms in the ICU when it pertained to monitoring technology.
CONCLUSION: This study provides an in-depth view at the needs and experiences of ICU patients and family members who have a variety of unmet needs. This understanding is critical for guiding ICU personnel and stakeholders in their efforts to humanize ICU care.
METHOD: In phase one, we conducted a literature review using four databases to extract relevant articles and clinical practice guidelines published between 2017 and 2022. The information was structured into a questionnaire consisting of patient education material (10 domains with 130 items) and pharmacist counseling scopes (15 domains with 43 items), with each item having a rating scale ranging from 1 (lowest) to 9 (highest) level of agreement. Fifty-two panellists, including otorhinolaryngologists and pharmacists, were invited to complete the questionnaire. A consensus agreement was considered when at least 70% of panellists scored 7 to 9 (critically important). A two-round survey was conducted, and descriptive analysis, inter-rater reliability (≥ 0.5-1 indicate moderate to excellent reliability), variation in the relative interquartile (VRIR
METHODS: This was a cross-sectional study involving the extraction of all Malaysian patients' medical records who were diagnosed with AR and attended the otorhinolaryngology outpatient clinic of a government-funded tertiary hospital in Malaysia between 2017 and 2022.
RESULTS: 3,744 cases out of the 57,968 first-encounter outpatient visits to the otorhinolaryngology clinic were extracted for analysis. Overall, the prevalence of AR cases ranged from 1.83 to 9.23% between 2017 and 2022. There was a significant drop of 21.38 to 70.22% between the pre- and post-COVID-19 pandemic (p
METHOD: This is a 6-month, single-center, prospective, randomized, two-arm, and parallel-group controlled trial. The trial recruits patients attending the otorhinolaryngology clinics of a tertiary referral hospital. Participants are randomized into control or intervention groups in a 1:1 ratio using permuted block randomization. The total number of participants estimated is 154, with each group requiring 77 participants. The control group receives standard pharmaceutical care, while the intervention group receives pharmacist-led education according to the AR-PRISE model. Both groups are assessed for middle turbinate endoscopy findings, disease severity, knowledge level, symptom control, medication adherence, and QoL at baseline and the end-of-study follow-up (day 180 ± 7). Depending on feasibility, intermediate follow-ups are conducted on days 60 ± 7 and 120 ± 7, either virtually or face-to-face. During intermediate follow-ups, participants are assessed for symptom control, medication adherence, and QoL. The intention-to-treat analysis includes all participants assigned to each group. An independent T-test compares the mean difference in knowledge level between the two groups. A two-way repeated measures ANOVA analysis is employed to determine between-group differences for scores of symptom control, adherence rate, and QoL. A P-value
METHODS: A 3-phase quasi-experimental community study was conducted from April 2012 to June 2013. Phase l was a cross-sectional study to review the current practice of PNNJ management. Phase ll was an interventional phase involving the implementation of a new protocol. Phase lll was a 6 months post-interventional audit. A registry of PNNJ was implemented to record the incidence rate. A self-reporting surveillance system was put in place to receive any reports of biliary atresia, urinary tract infection, or congenital hypothyroidism cases.
RESULTS: In Phase I, 12 hospitals responded, and 199 case notes were reviewed. In Phase II, a new protocol was developed and implemented in all government health facilities in Perak. In Phase III, the 6-month post-intervention audit showed that there were significant improvements when comparing mean scores of pre- and post-intervention: history taking scores (p
METHODS: This was a cross-sectional study that involved reviewing medical records of COVID-19 Malaysian patients aged 12 and above who were diagnosed with COVID-19 and received treatment in 18 COVID-19 hospitals from February to April 2020. A minimum sample of 375 patients was required. A binary logistic regression analysis was performed to determine factors associated with antibiotic usage. Variables with p