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.

Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts.

BACKGROUND: Although COVID-19 vaccines have recently become available, efforts in global mass vaccination can be hampered by the widespread issue of vaccine hesitancy. OBJECTIVE: The aim of this study was to use social media data to capture close-to-real-time public perspectives and sentiments regarding COVID-19 vaccines, with the intention to understand the key issues that have captured public attention, as well as the barriers and facilitators to successful COVID-19 vaccination. METHODS: Twitter was searched for tweets related to "COVID-19" and "vaccine" over an 11-week period after November 18, 2020, following a press release regarding the first effective vaccine. An unsupervised machine learning approach (ie, structural topic modeling) was used to identify topics from tweets, with each topic further grouped into themes using manually conducted thematic analysis as well as guided by the theoretical framework of the COM-B (capability, opportunity, and motivation components of behavior) model. Sentiment analysis of the tweets was also performed using the rule-based machine learning model VADER (Valence Aware Dictionary and Sentiment Reasoner). RESULTS: Tweets related to COVID-19 vaccines were posted by individuals around the world (N=672,133). Six overarching themes were identified: (1) emotional reactions related to COVID-19 vaccines (19.3%), (2) public concerns related to COVID-19 vaccines (19.6%), (3) discussions about news items related to COVID-19 vaccines (13.3%), (4) public health communications about COVID-19 vaccines (10.3%), (5) discussions about approaches to COVID-19 vaccination drives (17.1%), and (6) discussions about the distribution of COVID-19 vaccines (20.3%). Tweets with negative sentiments largely fell within the themes of emotional reactions and public concerns related to COVID-19 vaccines. Tweets related to facilitators of vaccination showed temporal variations over time, while tweets related to barriers remained largely constant throughout the study period. CONCLUSIONS: The findings from this study may facilitate the formulation of comprehensive strategies to improve COVID-19 vaccine uptake; they highlight the key processes that require attention in the planning of COVID-19 vaccination and provide feedback on evolving barriers and facilitators in ongoing vaccination drives to allow for further policy tweaks. The findings also illustrate three key roles of social media in COVID-19 vaccination, as follows: surveillance and monitoring, a communication platform, and evaluation of government responses.

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.

Predicting Coronary Artery Disease in Primary Care: Development and Validation of a Diagnostic Risk Score for Major Ethnic Groups in Southeast Asia.

BACKGROUND: Coronary artery disease (CAD) risk prediction tools are useful decision supports. Their clinical impact has not been evaluated amongst Asians in primary care. OBJECTIVE: We aimed to develop and validate a diagnostic prediction model for CAD in Southeast Asians by comparing it against three existing tools. DESIGN: We prospectively recruited patients presenting to primary care for chest pain between July 2013 and December 2016. CAD was diagnosed at tertiary institution and adjudicated. A logistic regression model was built, with validation by resampling. We validated the Duke Clinical Score (DCS), CAD Consortium Score (CCS), and Marburg Heart Score (MHS). MAIN MEASURES: Discrimination and calibration quantify model performance, while net reclassification improvement and net benefit provide clinical insights. KEY RESULTS: CAD prevalence was 9.5% (158 of 1658 patients). Our model included age, gender, type 2 diabetes mellitus, hypertension, smoking, chest pain type, neck radiation, Q waves, and ST-T changes. The C-statistic was 0.808 (95% CI 0.776-0.840) and 0.815 (95% CI 0.782-0.847), for model without and with ECG respectively. C-statistics for DCS, CCS-basic, CCS-clinical, and MHS were 0.795 (95% CI 0.759-0.831), 0.756 (95% CI 0.717-0.794), 0.787 (95% CI 0.752-0.823), and 0.661 (95% CI 0.621-0.701). Our model (with ECG) correctly reclassified 100% of patients when compared with DCS and CCS-clinical respectively. At 5% threshold probability, the net benefit for our model (with ECG) was 0.063. The net benefit for DCS, CCS-basic, and CCS-clinical was 0.056, 0.060, and 0.065. CONCLUSIONS: PRECISE (Predictive Risk scorE for CAD In Southeast Asians with chEst pain) performs well and demonstrates utility as a clinical decision support for diagnosing CAD among Southeast Asians.

The prevalence and impact of potentially inappropriate prescribing among older persons in primary care settings: multilevel meta-analysis.

BACKGROUND: Potentially inappropriate prescribing (PIP) may not have received as much attention in primary care settings (compared to tertiary hospital and nursing home settings), due to uncertainty about its prevalence in this healthcare setting. We conducted a systematic review with meta-analysis to summarise the prevalence of PIP specific to primary care settings and computed the population attributable risk (PAR) to estimate the impact of PIP in primary care. METHOD: We searched PubMed, Embase, CINAHL, Web of Science, Scopus, PsycINFO and previous review articles for studies related to 'older persons', 'primary care' and 'inappropriate prescribing'. Two reviewers selected eligible articles, extracted data and evaluated risk of bias. Multilevel meta-analysis was conducted to pool the prevalence estimates across the included studies, while meta-regression was conducted to investigate the sources of heterogeneity. RESULTS: Of the 4,259 articles identified, we included 67 articles with 111 prevalence estimates and a total of 5,054,975 participants. Overall, PIP had a pooled prevalence of 33.3% (95% CI 29.7-37.0%). Based on population attributable risks, PIP explained 7.7-17.3% of adverse outcomes related to older persons in primary care. If current PIP prevalence is halved, 37-79 cases of adverse outcomes may potentially be prevented (per 1,000 adverse outcomes). CONCLUSIONS: The findings demonstrate the relevance and potential impact of PIP specific to primary care settings. Given the increasingly central role that primary care plays in coordinating healthcare, the findings highlight the need to prioritise PIP intervention in primary care as a key strategy to reduce iatrogenic medication-related harm among older persons in current healthcare system.

Potentially Inappropriate Prescribing Among Older Persons: A Meta-Analysis of Observational Studies.

PURPOSE: Potentially inappropriate prescribing (PIP) is a common yet preventable medical error among older persons in primary care. It is uncertain whether PIP produces adverse outcomes in this population, however. We conducted a systematic review with meta-analysis to pool the adverse outcomes of PIP specific to primary care. METHOD: We searched PubMed, Embase, CINAHL, Web of Science, Scopus, PsycINFO, and previous review articles for studies related to "older persons," "primary care," and "inappropriate prescribing." Two reviewers selected eligible articles, extracted data, and evaluated the risk of bias. Meta-analysis was conducted to pool studies with similar PIP criteria and outcome measures. RESULTS: Of the 2,804 articles identified, we included 8 articles with a total of 77,624 participants. All included studies had cohort design and low risk of bias. Although PIP did not affect mortality (risk ratio [RR] 0.98; 95% CI, 0.93-1.05), it was significantly associated with the other available outcomes, including emergency room visits (RR 1.63; 95% CI, 1.32-2.00), adverse drug events (RR 1.34; 95% CI, 1.09-1.66), functional decline (RR 1.53; 95% CI, 1.08-2.18), health-related quality of life (standardized mean difference -0.26; 95% CI, -0.36 to -0.16), and hospitalizations (RR 1.25; 95% CI, 1.09-1.44). A majority of the pooled estimates had negligible heterogeneity. CONCLUSIONS: This meta-analysis provides consolidated evidence on the wide-ranging impact of PIP among older persons in primary care. It highlights the need to identify PIP in primary care, calls for further research on PIP interventions in primary care, and points to the need to consider potential implications when deciding on the operational criteria of PIP.

Reappraising the Efficacy and Acceptability of Multicomponent Interventions for Caregiver Depression in Dementia: The Utility of Network Meta-Analysis.

BACKGROUND: Previous meta-analyses have demonstrated the efficacy of interventions for caregiver depression in dementia. However, they generally lumped the interventions together without accounting for the multicomponent nature of most interventions. It is unknown which combination of components contributed to the efficacy and should be implemented in clinical practice. OBJECTIVES: To reappraise the interventions for caregiver depression from a recent systematic review, and evaluate whether a network meta-analytic approach offers additional insight into the efficacy and acceptability of multicomponent interventions. RESEARCH DESIGN AND METHODS: This study built upon a recent systematic review which identified 33 RCTs on caregiver depression from multiple databases (Medline, EMBASE, CENTRAL, PsycINFO, PSYNDEX). The 33 RCTs had different combinations of components serving at least one of the three key functions: addressing the care needs of persons with dementia ("CN"), addressing caregiving competency ("CC"), and providing emotional support for loss and grief ("ES"). A Bayesian network meta-analysis was conducted to compare the efficacy and all-cause attrition across different combinations of interventions. RESULTS: CN-CC combination was significantly more efficacious than treatment-as-usual (standardized mean difference in depression scores, SMD = -0.25, 95% credible interval [CrI] = -0.41 to -0.08) and marginally better than CN (SMD = -0.43, 95% CrI = -0.85 to -0.00). While none of the interventions clearly had both high efficacy and acceptability, three combinations of interventions (CC, CN-CC, and CN-CC-ES) had a reasonable balance between efficacy and acceptability. DISCUSSION AND IMPLICATIONS: Although interventions for caregiver depression in dementia are effective in general, the different components of interventions may not share the same efficacy and acceptability. In implementing interventions, policymakers may consider addressing CC first, introducing CN in a graded manner, and providing ES only when indicated. Future studies may also consider using network meta-analysis to gain additional insights on how to implement multicomponent interventions in geriatric care.

Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis.

INTRODUCTION: Major depression is a leading cause of disability and has been associated with adverse effects in older persons. While many pharmacological and non-pharmacological interventions have been shown to be effective to address major depression in older persons, there has not been a meta-analysis that consolidates all the available interventions and compare the relative benefits of these available interventions. In this study, we aim to conduct a systematic review and network meta-analysis to compare the efficacy and acceptability of all the known pharmacological and non-pharmacological interventions for major depression in older persons. METHODS AND ANALYSIS: We will search Medline, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health, Cochrane Central Register of Controlled Trials and references of other review articles for articles related to the keywords of 'randomised trial', 'major depression', 'older persons' and 'treatments'. Two reviewers will independently select the eligible articles. For each included article, the two reviewers will independently extract the data and assess the risk of bias using the Cochrane revised tool for risk of bias. Bayesian network meta-analyses will be conducted to pool the depression scores (based on standardised mean difference) and the all-cause discontinuation across all included studies. The ranking probabilities for all interventions will be estimated and the hierarchy of each intervention will be summarised as surface under the cumulative ranking curve (SUCRA). Meta-regression and sub-group analyses will also be performed to evaluate the effect of study-level covariates. The quality of the evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. ETHICS AND DISSEMINATION: The results will be disseminated through conference presentations and peer-reviewed publications. They will provide the consolidated evidence to inform clinicians on the best choice of intervention to address major depression in older persons. PROSPERO REGISTRATION NUMBER: CRD42017075756.

Assessing oral medication adherence among patients with type 2 diabetes mellitus treated with polytherapy in a developed Asian community: a cross-sectional study.

OBJECTIVES: The disease burden of type 2 diabetes mellitus (T2DM) is rising due to suboptimal glycaemic control leading to vascular complications. Medication adherence (MA) directly influences glycaemic control and clinical consequences. This study aimed to assess the MA of patients with T2DM and identify associated factors. DESIGN: Analysis of data from a cross-sectional survey and electronic medical records. SETTING: Primary care outpatient clinic in Singapore. PARTICIPANTS: Adult patients with T2DM. MAIN OUTCOME MEASURES: MA to each prescribed oral hypoglycaemic agent (OHA) was measured using the five-question Medication Adherence Report Scale (MARS-5). Low MA is defined as a MARS-R score of <25. Demographic data, clinical characteristics and investigation results were collected to identify factors that are associated with low MA. RESULTS: The study population comprised 382 patients with a slight female predominance (53.4%) and a mean±SD age of 62.0±10.4 years. 57.1% of the patients had low MA to at least one OHA. Univariate analysis showed that patients who were younger, of Chinese ethnicity, married or widowed, self-administering their medications or taking fewer (four or less) daily medications tended to have low MA to OHA. Logistic regression revealed that younger age (OR 0.97; 95% CI 0.95 to0.99), Chinese ethnicity (OR 2.80; 95% CI 1.53 to5.15) and poorer glycaemic control (HbA1c level) (OR 1.27; 95% CI 1.06 to1.51) were associated with low MA to OHA. CONCLUSIONS: Younger patients with T2DM and of Chinese ethnicity were susceptible to low MA to OHA, which was associated with poorer glycaemic control. Polytherapy was not associated with low MA.

Inappropriate prescribing among older persons in primary care: protocol for systematic review and meta-analysis of observational studies.

INTRODUCTION: Inappropriate prescribing has a significant impact on older persons in primary care. Previous reviews on inappropriate prescribing included a heterogeneous range of populations and may not be generalisable to primary care. In this study we aim to conduct a comprehensive systematic review and meta-analysis of the prevalence, risk factors and adverse outcome associated with inappropriate prescribing, specifically among older persons in primary care. METHODS AND ANALYSIS: We will search PubMed, Embase, CINAHL, Web of Science, Scopus, PsycINFO and references of other review articles for observational studies related to the keywords 'older persons', 'primary care' and 'inappropriate prescribing'. Two reviewers will independently select the eligible articles. For each included article, the two reviewers will independently extract the data and assess the risk of bias using the Newcastle-Ottawa Scale. If appropriate, meta-analyses will be performed to pool the data across all the studies. In the presence of heterogeneity, meta-regression and subgroup analyses will also be performed. The quality of the evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. ETHICS AND DISSEMINATION: The results will be disseminated through conference presentations and peer-reviewed publications. They will provide consolidated evidence to support informed actions by policymakers to address inappropriate prescribing in primary care, thus reducing preventable and iatrogenic risk to older persons in primary care. TRIAL REGISTRATION NUMBER: CRD42016048874.