METHODS: A newly developed six-week VC module was implemented online through asynchronous microlearning and synchronous simulation-based experiential learning modalities. Clinical students in years 4 and 5 and fresh graduates, who had not started pre-registration house officer or residency programmes, were invited to participate. Training outcomes using checklist-based video-recorded assessments of VC encounters between medical students and simulated patients were compared. Each video was independently assessed by two facilitators trained in VC teaching and assessment, using a direct observed virtual consultation skills checklist derived from established VC competencies. The participants completed course evaluations electronically as additional outcome measures.
RESULTS: Fifty-two clinical phase medical students and alumni completed both the instructional and practical phases of this module. Altogether, 45 (95.7%) students found the module beneficial, and 46 (95.9%) reported increased self-efficacy for conducting VC. In total, 46 (95.9%) students would recommend the course to others. Post-test results showed a significant increase in the students' abilities to conduct a VC (t-test = 16.33, p
METHODS: This approach included the use of the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) as a means of screening to identify individuals at moderate (score of 5-7) to high risk (score of 8 +) alcohol use, raising awareness, and investigating the potential utility of brief advice and referrals as a means of reducing risk.
RESULTS: Of the 54,187 participants, 43.0% reported engaging in moderate-risk alcohol consumption, with 22.1% reporting high-risk alcohol consumption. Resistance to brief advice was observed to increase with higher AUDIT-C scores. Similarly, participants engaging in high-risk alcohol consumption were resistant to accepting treatment referrals, with fewer than 10% open to receiving a referral.
CONCLUSIONS: While men were most likely to report patterns of high-risk alcohol consumption, they were more resistant to accepting referrals. Additionally, participants who were willing to receive brief advice were often resistant to taking active steps to alter their alcohol use. This study highlights the need to consider how to prevent harmful patterns of alcohol use effectively and holistically, especially in low socioeconomic settings through primary health care and community services.
SUBJECTS AND METHODS: A prospective study of 355 participants, including 280 with oral lesions/variants was conducted. Adults aged ≥18 treated at tertiary referral centres were included. Images of the oral cavity were taken using MeMoSA®. The identification of the presence of lesion/variant and referral decision made using MeMoSA® were compared to clinical oral examination, using kappa statistics for intra-rater agreement. Sensitivity, specificity, concordance and F1 score were computed. Images were reviewed by an off-site specialist and inter-rater agreement was evaluated. Images from sequential clinical visits were compared to evaluate observable changes in the lesions.
RESULTS: Kappa values comparing MeMoSA® with clinical oral examination in detecting a lesion and referral decision was 0.604 and 0.892, respectively. Sensitivity and specificity for referral decision were 94.0% and 95.5%. Concordance and F1 score were 94.9% and 93.3%, respectively. Inter-rater agreement for a referral decision was 0.825. Progression or regression of lesions were systematically documented using MeMoSA®.
CONCLUSION: Referral decisions made through MeMoSA® is highly comparable to clinical examination demonstrating it is a reliable telemedicine tool to facilitate the identification of high-risk lesions for early management.
METHODS: A scoping review was carried out using the Arksey and O'Malley methodological framework. The search strategy was developed iteratively, with three main aspects: general practice/primary care contexts, risk assessment/decision support tools, and workload-related factors. Three databases were searched in 2019, and updated in 2021, covering articles published since 2009: Medline (Ovid), HMIC (Ovid) and Web of Science (TR). Double screening was completed by two reviewers, and data extracted from included articles were analysed.
RESULTS: The search resulted in 5,594 references, leading to 95 full articles, referring to 87 studies, after screening. Of these, 36 studies were based in the USA, 21 in the UK and 11 in Australia. A further 18 originated from Canada or Europe, with the remaining studies conducted in New Zealand, South Africa and Malaysia. Studies examined the use of eCDS tools and reported some findings related to their impact on workload, including on consultation duration. Most studies were qualitative and exploratory in nature, reporting health professionals' subjective perceptions of consultation duration as opposed to objectively-measured time spent using tools or consultation durations. Other workload-related findings included impacts on cognitive workload, "workflow" and dialogue with patients, and clinicians' experience of "alert fatigue".
CONCLUSIONS: The published literature on the impact of eCDS tools in general practice showed that limited efforts have focused on investigating the impact of such tools on workload and workflow. To gain an understanding of this area, further research, including quantitative measurement of consultation durations, would be useful to inform the future design and implementation of eCDS tools.
METHODS: A cross-sectional study, using a convenience sampling technique, was conducted from 13 September, 2021 to 28 November, 2021. We designed a 45-item VC KAP questionnaire. This was distributed to outpatient users attending cardiovascular, dermatology, geriatrics, haematology, endocrine, respiratory, gastroenterology, rheumatology, or neurology clinics at the University Malaya Medical Centre. It was completed during face-to-face, online, or telephone interviews. The data were analysed using SPSS version 24.0. Binary logistic regression was used to determine the demographic factors associated with KAP. Correlation between KAP domains was determined using Spearman's rho (r). A p-value of <0.05 was considered statistically significant.
RESULTS: A total of 366 questionnaires were completed. Knowledge (awareness), attitude (acceptability), and practice (exposure) were considered good in 69.7%, 80.9%, and 24.6% of participants, respectively. There were no significant relationships between age, gender, ethnicity, and duration of hospital attendance (years) with knowledge (awareness), attitude (acceptability), and practice (exposure). A moderate positive correlation was seen between knowledge (awareness) and attitude (acceptability) (Attitude total [Atotal]) (r = 0.48, p<0.001), with no significant correlation between knowledge (awareness) and practice (exposure) (r = 0.04, p = 0.45), and attitude (acceptability) (Atotal) and practice (r = 0.01, p = 0.82).
CONCLUSION: Overall, outpatient clinic users had good knowledge (awareness) of and were receptive towards VC but had poor practice (exposure). More opportunities for VC use in healthcare can increase exposure and subsequent utilisation. Interventions to increase the effectiveness of VC use should be explored in future studies.
METHODS: A cross-sectional survey was conducted among caregivers and patients attending geriatric outpatient services in Kuala Lumpur, Malaysia. The survey measured the availability of equipment for virtual consultations, prior knowledge and experience of telemedicine, and willingness to consult geriatricians through virtual technology, using the Unified Theory of Acceptance and Use of Technology (UTAUT) scale.
RESULTS: A total of 197 caregivers and 42 older patients with a mean age of 54.28 (±13.22) and 75.62 (±7.32) years, respectively, completed the survey. One hundred and fifty-six (79.2%) of the caregivers were adult children accompanying patients. The mean UTAUT score was 65.97 (±13.71) out of 90, with 66.64 (±13.25) for caregivers and 62.79 (±15.44) for older adults, suggesting a high acceptance of adopting virtual consultations in lieu of face-to-face care. The independent predictors of acceptance of virtual consultation were : possession of an electronic device capable of video-communication, living with someone, living in a care home, weekly online banking usage, and perceived familiarity with virtual platforms.
CONCLUSION: Caregivers and patients indicated a high level of acceptance of virtual medical consultations, which is likely facilitated by caregivers such as adult children or spouses at home or staff in care homes. To minimize the transmission of COVID-19 in a highly vulnerable group, virtual consultations are an acceptable alternative to face-to-face consultations for older people and their caregivers in our setting.
METHODS: A retrospective cohort study was conducted at six tertiary centers in Malaysia. All women with newly diagnosed breast cancer were interviewed, and a medical records review was conducted using a structured questionnaire. The BCC timeliness framework showed that the total time between a woman discovering their first breast changes and the date of initial treatment was divided into three distinct intervals: presentation interval, diagnostic interval, and treatment interval. Four diagnosis subintervals, referral, biopsy, report, and diagnosis resolution intervals, were also looked into.
RESULTS: The BCC timeliness framework was used to capture important time points. The median total time, presentation interval, diagnostic interval, and treatment interval were 4.9 months (range, 1 month to 10 years), 2.4 months (range, 7 days to 10 years), 26 days (range, 4 days to 9.3 months), and 21 days (range, 1 day to 7.2 months), respectively. Meanwhile, the median time for the diagnosis subinterval of referral, biopsy, report, and diagnosis resolution was 8 days (range, 0 day to 8 months), 0 day (range, 0 day to 20 days), 7 days (range, 3 days to 3.5 months), and 4 days (range, 1 day to 1.8 months), respectively.
CONCLUSION: The BCC timeliness framework is based on the current sequenced trajectory of the BCC journey. Clarity in the measurement of timeliness provides a standardized language for monitoring and outcome research. It can serve as a quality indicator for community and hospital-based breast cancer programs.
METHODOLOGY: This cross-sectional study was conducted from October 2017 to December 2017 and involved female patients with breast cancer. The QoL scores and domains were determined using the EuroQol EQ-5D-5L, and were presented as the utility value and visual analog scores, respectively.
RESULTS: We recruited a total of 173 women, aged 33-87 years. The median VA score was 80.00 (interquartile range [IQR] 70.00-90.00); the median utility value was 0.78 (interquartile range [IQR] 0.65-1.00. Women who did not take traditional medicine had a higher utility index score of 0.092 (95% CI 0.014-0.171), and women with household income of RM3000-5000 had a higher utility index score of 0.096 (95% CI 0.011-0.180).
CONCLUSION: Traditional medicine consumption and household income were significantly associated with lower QoL. The pain/discomfort domain was the worst affected QoL domain and was related to traditional medicine use and household income. Addressing pain management in patients with breast cancer and the other factors contributing to lower QoL may improve the QoL of breast cancer survivors in the future.
MATERIALS AND METHODS: The authors conducted literature search in three databases (PubMed, Cochrane, and Clinical Key) on July 15th, 2020. The keywords were ("Head and Neck Mucosal Malignancy" OR "Head and Neck Cancer") AND ("Management" OR "Head and Neck Surgery") AND ("COVID-19" OR "Pandemic"). The inclusion criteria were cancer in adult patients, published from 2020 in English, and with available access to full text. The exclusion criteria were comments, letters, and case reports. The articles were critically appraised using the Centre of Evidence-based Medicine (CEBM), University of Oxford and Duke University. The literature search strategy is illustrated using Preferred Reporting Items for Systematic review and meta-analysis (PRISMA) flow diagram.
RESULTS: A total of 150 articles were identified; 21 articles were gathered from Clinical Key, 33 from Cochrane, and 96 from Pubmed. After screening abstracts and reviewing the full text, the authors determined five articles met the inclusion criteria. There are several key points of head and neck cancer management in the COVID-19 pandemic. Head and neck cancer management is considered a high-risk procedure; the clinician should use proper personal protective equipment. Before operative treatment, all patients should undergo a PCR test 14 days before surgery. In diagnosing head and neck cancer, laryngoscopy should be considered carefully; and cytology should be preferred instead. Medically Necessary, Time-sensitive (MeNTS) score is recommended for risk stratification and surgery prioritization; it has three domains: procedure, disease, and patient. However, it is not specified to head and neck cancer; therefore, it should be combined with other references. Stanford University Head and Neck Surgery Division Department of Otolaryngology made surgery prioritization into three groups, urgent (should be operated immediately), can be postponed for 30 days, and can be postponed for 30- 90 days. Some urgent cases and should be operated on immediately include cancers involving the airways, decreased renal function, and metastases. For chemoradiation decision to delay or continue should refer to the goal of treatment, current oncologic status, and tolerance to radiation. In terms of patient's follow up, telephone consultation should be maximized.
CONCLUSION: MeNTS scoring combined with Guideline from Department of Otolaryngology at Stanford University prioritizing criteria can be helpful in decision making of stratifying Risk and prioritizing surgery in head and neck cancer management.
METHODS: In this cohort study, we interviewed 328 women with histologically confirmed breast cancer at five medical centres in Malaysia. Times were measured from recognition of symptoms to first consultation to diagnosis and to the first definitive treatment. The event was initiation of definitive treatment. Data was analysed using multivariable Cox proportional hazards regression.
RESULTS: The mean age was 47.9 (standard deviation 9.4) years and 79.9% were ethnic Malays. The median follow-up time was 6.9 months. The median times for first doctor consultation, diagnosis and initiation of treatment were 2 months, 5.5 months and 2.4 weeks, respectively. The percentage of consultation delay more than a month was 66.8%, diagnosis delay more than three months was 73.2% and treatment delay more than one month was 11.6%. Factors associated with not initiating the definitive treatment were pregnancy (adjusted hazard ratio (AHR) 1.75; 95% Confidence Interval (CI): 1.07, 2.88), taking complementary alternative medicine (AHR 1.45; 95% CI: 1.15, 1.83), initial refusal of mastectomy (AHR 3.49; 95% CI: 2.38, 5.13) and undergoing lumpectomy prior to definitive treatment (AHR 1.62; 95% CI: 1.16, 2.28).
CONCLUSIONS: Delays in diagnosis and consultation were more serious than treatment delays. Most respondents would accept treatment immediately after diagnosis. Respondents themselves were responsible for a large proportion of the delays. This study was successful in understanding the process of breast cancer patients' experience, from symptoms recognition to consultation, diagnosis and treatment.
METHOD: Participants were contacted and offered early physical consultation with a neurologist. Patients who participated in the Phase 1 study on the impacts of the COVID-19 pandemic on people with epilepsy and treated in our hospital were recruited. Clinical and psychological outcomes of COVID-19 were assessed with the Hospital Anxiety Depression Scale (HADS) and Quality of Life in Epilepsy Inventory (QOLIE-31).
RESULT: A total of 312 patients completed this study with a mean age of 39.13 ± 16.13 years, majority female (51.0%), and experienced seizures at least once yearly (64.7%). There was 12.6% who experienced seizure worsening related to the COVID-19 pandemic. After receiving early clinical intervention, 30.8% achieved better seizure control with another 51.1% had no seizure occurrence. The mean HADS anxiety score improved immediately post-intervention (5.27 ± 4.32 vs. 4.79 ± 4.26, p
METHODS: This is a retrospective cohort single-centre study from 1 November 2006 to 29 May 2019, in all adult patients admitted with first episode of PAB. Data collected included demographics, clinical management and outcomes for PAB and whether IDC occurred. In addition, 29 Pseudomonas aeruginosa (PA) stored isolates were available for Illumina whole genome sequencing to investigate if pathogen factors contributed to the mortality.
RESULTS: A total of 128 cases of PAB were identified, 71% received IDC. Patients who received IDC were less likely to receive inappropriate duration of antibiotic therapy (4.4%; vs 67.6%; p
AIMS: To describe the MD ASA technique and present its preliminary application.
METHODS: MD ASA breaks down the face into five hierarchies (H1-H5). H1 shifts patients' focus from "distractions" (individual lines and folds) toward the overall messages their face portrays, based on eight Emotional Attributes: four negative (tired, sad, angry, and saggy); four positive (youthful, attractive, contoured, and feminine/masculine). Three priority Emotional Attributes are selected for each patient. This is followed by a process of narrowing down through facial thirds (H2), periorbital and perioral dynamics (H3), facial units (H4), and subunits (H5), to arrive at a final assessment. Based on the key facial signs identified, this can be translated into MD Codes equations and thus a treatment formula. A retrospective analysis was performed based on 12 female patients injected by expert clinicians at an educational event. All patients were selected for, and treated using, a single MD Codes formula derived from a common MD ASA work-up.
RESULTS: There were substantial differences between patients and clinicians in their views of which anatomical areas needed treatment-but good alignment on priority Emotional Attributes. Patients were treated only for three negative Emotional Attributes, but improvements were observed across all eight attributes.
CONCLUSIONS: MD ASA provides a practical method for translating facial messages into actionable injectable treatment plans and facilitates greater patient-clinician alignment. Prospective studies are warranted.
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.