Real-world evaluation of care for type 2 diabetes in Malaysia: A cross-sectional analysis of the treatment adherence to guideline evaluation in type 2 diabetes (TARGET-T2D) study.

AIM: Given a lack of data on diabetes care performance in Malaysia, we conducted a cross-sectional study to understand the clinical characteristics, control of cardiometabolic risk factors, and patterns of use of guideline-directed medical therapy (GDMT) among patients with type 2 diabetes (T2D), who were managed at publicly-funded hospitals between December 2021 and June 2022. METHODS: Patients aged ≥18 years with T2D from eight publicly-funded hospitals in the Greater Kuala Lumpur region, who had ≥2 outpatient visits within the preceding year and irrespective of treatment regimen, were eligible. The primary outcome was ≥2 treatment target attainment (defined as either HbA1c <7.0%, blood pressure [BP] <130/80 mmHg, or low-density lipoprotein cholesterol [LDL-C] <1.8 mmol/L). The secondary outcomes were the individual treatment target, a combination of all three treatment targets, and patterns of GDMT use. To assess for potential heterogeneity of study findings, all outcomes were stratified according to prespecified baseline characteristics namely 1) history of atherosclerotic cardiovascular disease (ASCVD; yes/no) and 2) clinic type (Diabetes specialist versus General medicine). RESULTS: Among 5094 patients (mean±SD age 59.0±13.2 years; T2D duration 14.8±9.2 years; HbA1c 8.2±1.9% (66±21 mmol/mol); BMI 29.6±6.2 kg/m2; 45.6% men), 99% were at high/very high cardiorenal risk. Attainment of ≥2 treatment targets was at 18%, being higher in General medicine than in Diabetes specialist clinics (20.8% versus 17.5%; p = 0.039). The overall statin coverage was 90%. More patients with prior ASCVD attained LDL-C <1.4 mmol/L than those without (13.5% versus 8.4%; p<0.001). Use of sodium-glucose cotransporter-2 (SGLT2) inhibitors (13.2% versus 43.2%), glucagon-like peptide-1 receptor agonists (GLP1-RAs) (1.0% versus 6.2%), and insulin (27.7% versus 58.1%) were lower in General medicine than in Diabetes specialist clinics. CONCLUSIONS: Among high-risk patients with T2D, treatment target attainment and use of GDMT were suboptimal.

Mobile and wearable technologies for persons with disabilities: a bibliometric analysis (2000-2021).

PURPOSE: This study uses a bibliometric approach to analyse the patterns in research related to mobile and wearable technologies for persons with disabilities to evaluate the current state of relevant research. MATERIALS AND METHODS: A systematic search was done using two strings covering "disability" and "mobile and wearable technologies" in the titles of publications in the Web of Science database. Two researchers independently screened the results for relevant publications. During this process, the inclusion and exclusion criteria were deliberated and refined. An independent researcher checked the screening results against the finalized inclusion and exclusion criteria to ensure that the screening was done consistently. RESULTS: A total of 2012 out of the 5990 retrieved publications from 2000 to 2022 were included for further analysis. We observed that publications in this area grew exponentially since 2011, almost doubling every 2 years between 2011 and 2015. Universities in the USA were the most active and prominent in relevant publications. Autism is the most researched disability in relation to mobile and wearable technologies. The publications cover both hardware (engineering, electrical and electronic) and software (computer science, theory and methods) technologies used for improving quality of life for persons with disabilities (rehabilitation). CONCLUSIONS: The majority of publications were from high income countries, indicating the need to study the digital divide among high-, low- and middle-income countries in adopting mobile and wearable technologies for persons with disabilities, especially ways of making these technologies more affordable and accessible to the under-privileged members of the community.

Mobile and wearable technologies as a more generic, available and affordable approach complementing more specialized assistive technologies for persons with disabilities.A bibliometric study illustrates the trend in research of mobile and wearable technologies for persons with disabilities, and of the relevant publications.Through this bibliometric study, rehabilitation practitioners can identify the key researchers, universities and countries contributing to relevant publications, for potential collaboration as well as implementation of rehabilitation solutions for persons with disabilities.The identified main journals and anchor publications in relevant fields of research allow rehabilitation researchers to focus on topics that have attracted much interest among the stakeholders as well as topics that are still under-researched, hence identifying gaps in research.

Effectiveness of a web-based, electronic medical records-integrated patient agenda tool to improve doctor-patient communication in primary care consultations: A pragmatic cluster-randomized controlled trial study.

BACKGROUND: Doctors may struggle to identify patient agendas during busy primary care consultations. Therefore, an online patient agenda tool (the Values in Shared Interactions Tool- VISIT) was developed which allowed patients to enter their agenda items pre-consultation for doctors to view on their electronic medical records (EMR). This study aimed to measure the impact of this EMR-integrated website on patient satisfaction, number of agenda items discussed and consultation time. METHODS: An unblinded cluster-randomized controlled trial was conducted in a university-based primary care clinic between June-October 2019. Twenty-five family medicine trainees were randomized into using the VISIT tool (intervention) and usual care (control). Descriptive analysis showed significant differences between arms for age, occupation and mobile device proficiency scores. These were entered as covariates in trial analyses. Primary outcome was mean self-reported patient satisfaction score using the Healthcare Provider-Patient Communication (HCPPC) questionnaire, secondary outcomes were mean agenda items per consultation and mean consultation time. RESULTS: The intervention arm had 12 doctors and 109 patients; the control arm had 13 doctors and 137 patients. Participation rates were 25.5% for intervention vs 53.6% for control. There was no difference between arms for patient satisfaction scores (133.3, 95% CI: 130.67-135.88 intervention vs 134.0, 95% CI: 131.76-136.29 control, P =.680) and consultation duration (15.83 min, 95% CI: 13.66-17.99 intervention vs 15.45 min, 95% CI: 13.57-17.34 control, P =.805). Mean number of agenda items discussed was higher in the intervention arm (2.25 items, 95% CI: 2.06-2.44 intervention vs 1.94 items, CI 95%: 1.78-2.11, P =.024). CONCLUSIONS: Integrating patient agendas into the EMR did not affect patient satisfaction compared to usual care but was associated with a slightly increased number of agenda items without an increase in consultation time. This shows it may be useful for a busy primary care setting with multiple comorbidities and short consultation times.

Utility and usability of an automated COVID-19 symptom monitoring system (CoSMoS) in primary care during COVID-19 pandemic: A qualitative feasibility study.

BACKGROUND: COVID-19 telemonitoring applications have been developed and used in primary care to monitor patients quarantined at home. There is a lack of evidence on the utility and usability of telemonitoring applications from end-users' perspective. OBJECTIVES: This study aimed to evaluate the feasibility of a COVID-19 symptom monitoring system (CoSMoS) by exploring its utility and usability with end-users. METHODS: This was a qualitative study using in-depth interviews. Patients with suspected COVID-19 infection who used CoSMoS Telegram bot to monitor their COVID-19 symptoms and doctors who conducted the telemonitoring via CoSMoS dashboard were recruited. Universal sampling was used in this study. We stopped the recruitment when data saturation was reached. Patients and doctors shared their experiences using CoSMoS, its utility and usability for COVID-19 symptoms monitoring. Data were coded and analysed using thematic analysis. RESULTS: A total of 11 patients and 4 doctors were recruited into this study. For utility, CoSMoS was useful in providing close monitoring and continuity of care, supporting patients' decision making, ensuring adherence to reporting, and reducing healthcare workers' burden during the pandemic. In terms of usability, patients expressed that CoSMoS was convenient and easy to use. The use of the existing social media application for symptom monitoring was acceptable for the patients. The content in the Telegram bot was easy to understand, although revision was needed to keep the content updated. Doctors preferred to integrate CoSMoS into the electronic medical record. CONCLUSION: CoSMoS is feasible and useful to patients and doctors in providing remote monitoring and teleconsultation during the COVID-19 pandemic. The utility and usability evaluation enables the refinement of CoSMoS to be a patient-centred monitoring system.

An Automated Patient Self-Monitoring System to Reduce Health Care System Burden During the COVID-19 Pandemic in Malaysia: Development and Implementation Study.

BACKGROUND: During the COVID-19 pandemic, there was an urgent need to develop an automated COVID-19 symptom monitoring system to reduce the burden on the health care system and to provide better self-monitoring at home. OBJECTIVE: This paper aimed to describe the development process of the COVID-19 Symptom Monitoring System (CoSMoS), which consists of a self-monitoring, algorithm-based Telegram bot and a teleconsultation system. We describe all the essential steps from the clinical perspective and our technical approach in designing, developing, and integrating the system into clinical practice during the COVID-19 pandemic as well as lessons learned from this development process. METHODS: CoSMoS was developed in three phases: (1) requirement formation to identify clinical problems and to draft the clinical algorithm, (2) development testing iteration using the agile software development method, and (3) integration into clinical practice to design an effective clinical workflow using repeated simulations and role-playing. RESULTS: We completed the development of CoSMoS in 19 days. In Phase 1 (ie, requirement formation), we identified three main functions: a daily automated reminder system for patients to self-check their symptoms, a safe patient risk assessment to guide patients in clinical decision making, and an active telemonitoring system with real-time phone consultations. The system architecture of CoSMoS involved five components: Telegram instant messaging, a clinician dashboard, system administration (ie, back end), a database, and development and operations infrastructure. The integration of CoSMoS into clinical practice involved the consideration of COVID-19 infectivity and patient safety. CONCLUSIONS: This study demonstrated that developing a COVID-19 symptom monitoring system within a short time during a pandemic is feasible using the agile development method. Time factors and communication between the technical and clinical teams were the main challenges in the development process. The development process and lessons learned from this study can guide the future development of digital monitoring systems during the next pandemic, especially in developing countries.

Usability and utility evaluation of the web-based "Should I Start Insulin?" patient decision aid for patients with type 2 diabetes among older people.

This study aimed to evaluate the usability (ease of use) and utility (impact on user's decision-making process) of a web-based patient decision aid (PDA) among older-age users. A pragmatic, qualitative research design was used. We recruited patients with type 2 diabetes who were at the point of making a decision about starting insulin from a tertiary teaching hospital in Malaysia in 2014. Computer screen recording software was used to record the website browsing session and in-depth interviews were conducted while playing back the website recording. The interviews were analyzed using the framework approach to identify usability and utility issues. Three cycles of iteration were conducted until no more major issues emerged. Thirteen patients participated: median age 65 years old, 10 men, and nine had secondary education/diploma, four were graduates/had postgraduate degree. Four usability issues were identified (navigation between pages and sections, a layout with open display, simple language, and equipment preferences). For utility, participants commented that the website influenced their decision about insulin in three ways: it had provided information about insulin, it helped them deliberate choices using the option-attribute matrix, and it allowed them to involve others in their decision making by sharing the PDA summary printout.