Effectiveness of an algorithm-driven home telemonitoring system on the metabolic control and self-care behaviour of Asian adults with type-2 diabetes mellitus: A randomised controlled trial.

AIM: Healthcare professionals are leveraging on telehealth to manage patients with type-2 diabetes mellitus (T2DM). This study aimed to determine the clinical outcomes of patients using a novel tele-monitoring system (OPTIMUM) as compared to the standard of care. METHODS: An open-labelled randomised controlled trial involving 330 Asian patients with T2DM, aged 26-65 years, and suboptimal glycaemic control (HbA1c = 7.5-10%) was conducted in a Singapore public primary care clinic. The patients were assigned in a 1:1 ratio by block randomization to the intervention group to receive: in-app video-based tele-education, tele-monitoring of the blood pressure (BP), capillary glucose and weight via Bluetooth devices and mobile application, followed by algorithm-based tele-management by the OPTIMUM telehealth care team for abnormal parameters. Patients received usual care in the control group. Clinical assessments and self-care-related questionnaires were administered for both groups at baseline and 6 months. RESULTS: Complete data of 159 (intervention) and 160 (control) patients with comparable demographic profiles were analysed. Those in the intervention group showed significantly lower HbA1c by 0.34% (95%CI = -0.57 to -0.11; p = 0.004); first measurement of systolic BP decreased by 2.98 mmHg (95%CI:-5.8 to -0.08; p = 0.044) and diastolic BP by 4.24 mmHg (95%CI = -6.0 to -2.47; p = 0.001); and total cholesterol by 0.18 mmol/L (95%CI: -0.34 to -0.01; p = 0.040) compared to the control group, after adjusting for baseline variables. Questionnaire scores showed significant improvements in medication adherence and self-care behaviour in the intervention group. No significant weight change was noted between groups. CONCLUSION: The OPTIMUM tele-monitoring system improved the glycaemic, BP and total cholesterol control in patients with suboptimal T2DM control by enhancing their medication adherence and self-care over 6 months.

The Willingness to Pay for Telemedicine Among Patients With Chronic Diseases: Systematic Review.

BACKGROUND: Telemedicine is increasingly being leveraged, as the need for remote access to health care has been driven by the rising chronic disease incidence and the COVID-19 pandemic. It is also important to understand patients' willingness to pay (WTP) for telemedicine and the factors contributing toward it, as this knowledge may inform health policy planning processes, such as resource allocation or the development of a pricing strategy for telemedicine services. Currently, most of the published literature is focused on cost-effectiveness analysis findings, which guide health care financing from the health system's perspective. However, there is limited exploration of the WTP from a patient's perspective, despite it being pertinent to the sustainability of telemedicine interventions. OBJECTIVE: To address this gap in research, this study aims to conduct a systematic review to describe the WTP for telemedicine interventions and to identify the factors influencing WTP among patients with chronic diseases in high-income settings. METHODS: We systematically searched 4 databases (PubMed, PsycINFO, Embase, and EconLit). A total of 2 authors were involved in the appraisal. Studies were included if they reported the WTP amounts or identified the factors associated with patients' WTP, involved patients aged ≥18 years who were diagnosed with chronic diseases, and were from high-income settings. RESULTS: A total of 11 studies from 7 countries met this study's inclusion criteria. The proportion of people willing to pay for telemedicine ranged from 19% to 70% across the studies, whereas the values for WTP amounts ranged from US $0.89 to US $821.25. We found a statistically significant correlation of age and distance to a preferred health facility with the WTP for telemedicine. Higher age was associated with a lower WTP, whereas longer travel distance was associated with a higher WTP. CONCLUSIONS: On the basis of our findings, the following are recommendations that may enhance the WTP: exposure to the telemedicine intervention before assessing the WTP, the lowering of telemedicine costs, and the provision of patient education to raise awareness on telemedicine's benefits and address patients' concerns. In addition, we recommend that future research be directed at standardizing the reporting of WTP studies with the adoption of a common metric for WTP amounts, which may facilitate the generalization of findings and effect estimates.

Evaluating the effectiveness and utility of a novel culturally-adapted telemonitoring system in improving the glycaemic control of Asians with type-2 diabetes mellitus: a mixed method study protocol.

BACKGROUND: Regular supervision of patients with type-2 diabetes mellitus (T2DM) by healthcare providers is essential to optimise their glycaemic control but is challenging to achieve in current care models. Telemonitoring is postulated to bridge this gap by leveraging on internet-of-things and mobile-health technology. This study aims to determine the effectiveness of a novel telemonitoring system (OPTIMUM) in improving the glycaemic control of patients with T2DM compared with standard of care alone. METHODS: This mixed-method study comprises an initial randomised controlled trial involving 330 Asian adults with T2DM, aged 26-65 years old with an HbA1c of 7.5-10%, with 115 in the intervention and control arms each. Those in the intervention arm will use standardised Bluetooth-enabled devices to transmit their capillary glucose, blood pressure and weight measurements to the OPTIMUM system. Primary care physicians and nurses will remotely supervise them according to an embedded management algorithm for 6 months, including tele-education via weekly videos over 8 weeks and asynchronous tele-consultation if abnormal or absent parameters are detected. Patients in both arms will be assessed at baseline, 6, 12 and 24 months post-recruitment. The primary outcome will be their HbA1c difference between both arms at baseline and 6 months. Blood pressure and weight control; quality of life, medication adherence, confidence in self-management, diabetic literacy and related distress and healthcare utilisation using validated questionnaires; and incident retinal, renal, cardiac and cerebrovascular complications will be compared between the two arms as secondary outcomes at stipulated time-points. Intervention arm patients will be interviewed using qualitative research methods to understand their experience, acceptance and perceived usefulness of the OPTIMUM system. DISCUSSION: Overall, this study seeks to evaluate the effectiveness of cultural-adapted telemonitoring system in improving glycaemic control of Asians with type-2 diabetes mellitus compared to standard of care. The results of this trial will better inform policy makers in adopting telemedicine for population health management. TRIAL REGISTRATION: ClinicalTrials.gov NCT04306770 . Registered on March 13, 2020.

The Role of Health Technologies in Multicomponent Primary Care Interventions: Systematic Review.

BACKGROUND: Several countries around the world have implemented multicomponent interventions to enhance primary care, as a way of strengthening their health systems to cope with an aging chronically ill population and rising costs. Some of these efforts have included technology-based enhancements as one of the features to support the overall intervention, but their details and impacts have not been explored. OBJECTIVE: This study aimed to identify the role of digital/health technologies within wider multifeature interventions that are aimed at enhancing primary care, and to describe their aims and stakeholders, types of technologies used, and potential impacts. METHODS: A systematic review was performed following Cochrane guidelines. An electronic search, conducted on May 30, 2019, was supplemented with manual and grey literature searches in December 2019, to identify multicomponent interventions that included at least one technology-based enhancement. After title/abstract and full text screening, selected articles were assessed for quality based on their study design. A descriptive narrative synthesis was used for analysis and presentation of the results. RESULTS: Of 37 articles, 14 (38%) described the inclusion of a technology-based innovation as part of their multicomponent interventions to enhance primary care. The most commonly identified technologies were the use of electronic health records, data monitoring technologies, and online portals with messaging platforms. The most common aim of these technologies was to improve continuity of care and comprehensiveness, which resulted in increased patient satisfaction, increased primary care visits compared to specialist visits, and the provision of more health prevention education and improved prescribing practices. Technologies seem also to increase costs and utilization for some parameters, such as increased consultation costs and increased number of drugs prescribed. CONCLUSIONS: Technologies and digital health have not played a major role within comprehensive innovation efforts aimed at enhancing primary care, reflecting that these technologies have not yet reached maturity or wider acceptance as a means for improving primary care. Stronger policy and financial support, and advocacy of key stakeholders are needed to encourage the introduction of efficient technological innovations, which are backed by evidence-based research, so that digital technologies can fulfill the promise of supporting strong sustainable primary care.

Digital health competencies for primary healthcare professionals: A scoping review.

BACKGROUND: Despite digital health providing opportunities to enhance the quality, efficiency and safety of primary healthcare, the adoption of digital tools and technologies has been slow, partly because of poor digital health literacy. For primary healthcare systems to take full advantage of these technologies, a capable, digitally literate workforce is necessary. Still, the essential digital health competencies (DHCs) for primary healthcare have not been explored. This review aims to examine the broad literature on DHCs as it applies to Primary Care (PC) settings. METHODS: We performed a scoping review on all types of research linking DHCs to PC. We searched all major databases including Medline, Embase, CINAHL, and Cochrane Library in November 2019. Concurrently, a thorough grey literature search was performed through OpenGrey, ResearchGate, Google Scholar, and key government and relevant professional associations' websites. Screening and selection of studies was performed in pairs, and data was analysed and presented using a narrative, descriptive approach. Thematic analysis was performed to identify key DHC domains. RESULTS: A total of 28 articles were included, most of them (54 %) published before 2005. These articles were primarily aimed at PC physicians or general practitioners, and focused on improving knowledge about information technologies and medical informatics, basic computer and information literacy, and optimal use of electronic medical records. We identified 17 DHC domains, and important knowledge gaps related to digital health education and curriculum integration, the need for evidence of the impact of services, and the importance of wider support for digital health. CONCLUSIONS: Literature explicitly linking DHCs to PC was mostly published over a decade ago. There is a need for an updated and current set of DHCs for PC professionals to more consistently reap the benefits of digital technologies. This review identified key DHC domains and statements that may be used to guide on the development of a set of DHC for PC, and critical knowledge gaps and needs to be considered. Such a DHC set may be used for curricula development and for ensuring that the essential DHC for PC are met at a clinical or organizational level, and eventually improve health outcomes.

Sociodemographic factors in relation to hypertension prevalence, awareness, treatment and control in a multi-ethnic Asian population: a cross-sectional study.

OBJECTIVES: Literature suggested that multi-ethnic Western populations experienced differential hypertension outcomes, but evidence is limited in Asia. This study was aimed to determine sociodemographic correlates of hypertension and its awareness, treatment and control among a multi-ethnic Asian population living in Singapore. SETTING: We used cross-sectional data of participants from the Multi-Ethnic Cohort (MEC) (n=14 530) recruited in Singapore between 2004 and 2010. PARTICIPANTS: Participants who completed questionnaire and attended health examination, without cardiovascular diseases, cancer, stroke, renal failure, asthma and mental illnesses were included in the study. Multivariable logistic regression models were used to determine sociodemographics factors associated with hypertension, unawareness of having hypertension, untreated and uncontrolled hypertension. RESULTS: Among 10 215 participants (47.2% Chinese, 26.0% Malay and 26.8% Indian), hypertension prevalence was estimated to be 31.1%. Older age, Malay ethnicity, male, lower educational level and being homemaker or retired/unemployed were factors significantly associated with hypertension. Stratified analysis suggested that age and education were consistently associated with hypertension across all ethnic groups. The proportions of being unaware, untreated and uncontrolled were 49.0%, 25.2% and 62.4%, respectively. Ethnicity and younger age were associated with unawareness; younger age, male and lower educational level were associated with untreated hypertension and older age was associated with uncontrolled hypertension. CONCLUSIONS: In this study, ethnic differences in relation to hypertension were associated with sociodemographic variability in ethnic groups. Age and educational level were consistent correlates of hypertension in all ethnic groups. Unawareness and uncontrolled hypertension were common in this Asian population and associated with sociodemographic factors. More targeted strategies may be required to overcome the observed disparities.

Perceived Neighborhood Environment and Its Association with Health Screening and Exercise Participation amongst Low-Income Public Rental Flat Residents in Singapore.

Background: In Singapore, an Asian city-state, more than 80% live in public housing. While the majority (90%) own their homes, a needy minority lives in rental flats. Public rental flats are built in the same location as owner-occupied blocks. We evaluated factors associated with perceptions of the neighborhood environment and its association with exercise and health screening participation. Methods: Logistic regression was used to identify associations between perceptions of the neighborhood environment (overall perceived neighborhood disadvantage, safety, and convenience) and sociodemographic factors, as well as exercise and screening participation, amongst residents aged ≥60 years in two Singaporean public housing precincts in 2016. Results: Our response rate was 62.1% (528/800). Staying in a rental flat independently was associated with increased neighborhood disadvantage (adjusted odds ratio, aOR = 1.58, 95%CI = 1.06⁻2.35). Staying in a stand-alone block (as opposed to staying in a mixed block comprised of both rental and owner-occupied units) was associated with perceptions of a poorer physical environment (aOR = 1.81, 95%CI = 1.22⁻2.68) and lower perceived proximity to recreational areas (aOR = 1.14, 95%CI = 1.04⁻1.25). Perceptions of neighborhood disadvantage were independently associated with reduced exercise participation (aOR = 0.67, 95%CI = 0.45⁻0.98) and reduced participation in diabetes screening (aOR = 0.63, 95%CI = 0.41⁻0.95). Conclusion: Despite sharing the same built environment, differences in the perception of the neighborhood environment between low-socioeconomic status (SES) and high-SES communities persist. Perceived neighborhood disadvantage is associated with lower participation in regular exercise and diabetes screening.