Joint Asia Diabetes Evaluation Program Research Articles

Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis.

BackgroundDiabetes outcomes are influenced by host factors, settings, and care processes. We examined the association of data-driven integrated care assisted by information and communications technology (ICT) with clinical outcomes in type 2 diabetes in public and private healthcare settings.Methods and findingsThe web-based Joint Asia Diabetes Evaluation (JADE) platform provides a protocol to guide data collection for issuing a personalized JADE report including risk categories (1–4, low–high), 5-year probabilities of cardiovascular-renal events, and trends and targets of 4 risk factors with tailored decision support. The JADE program is a prospective cohort study implemented in a naturalistic environment where patients underwent nurse-led structured evaluation (blood/urine/eye/feet) in public and private outpatient clinics and diabetes centers in Hong Kong. We retrospectively analyzed the data of 16,624 Han Chinese patients with type 2 diabetes who were enrolled in 2007–2015. In the public setting, the non-JADE group (n = 3,587) underwent structured evaluation for risk factors and complications only, while the JADE (n = 9,601) group received a JADE report with group empowerment by nurses. In a community-based, nurse-led, university-affiliated diabetes center (UDC), the JADE-Personalized (JADE-P) group (n = 3,436) received a JADE report, personalized empowerment, and annual telephone reminder for reevaluation and engagement. The primary composite outcome was time to the first occurrence of cardiovascular-renal diseases, all-site cancer, and/or death, based on hospitalization data censored on 30 June 2017. During 94,311 person-years of follow-up in 2007–2017, 7,779 primary events occurred. Compared with the JADE group (136.22 cases per 1,000 patient-years [95% CI 132.35–140.18]), the non-JADE group had higher (145.32 [95% CI 138.68–152.20]; P = 0.020) while the JADE-P group had lower event rates (70.94 [95% CI 67.12–74.91]; P < 0.001). The adjusted hazard ratios (aHRs) for the primary composite outcome were 1.22 (95% CI 1.15–1.30) and 0.70 (95% CI 0.66–0.75), respectively, independent of risk profiles, education levels, drug usage, self-care, and comorbidities at baseline. We reported consistent results in propensity-score–matched analyses and after accounting for loss to follow-up. Potential limitations include its nonrandomized design that precludes causal inference, residual confounding, and participation bias.ConclusionsICT-assisted integrated care was associated with a reduction in clinical events, including death in type 2 diabetes in public and private healthcare settings.

From Hong Kong Diabetes Register to JADE Program to RAMP-DM for Data-Driven Actions.

In 1995, the Hong Kong Diabetes Register (HKDR) was established by a doctor-nurse team at a university-affiliated, publicly funded, hospital-based diabetes center using a structured protocol for gathering data to stratify risk, triage care, empower patients, and individualize treatment. This research-driven quality improvement program has motivated the introduction of a territory-wide diabetes risk assessment and management program provided by 18 hospital-based diabetes centers since 2000. By linking the data-rich HKDR to the territory-wide electronic medical record, risk equations were developed and validated to predict clinical outcomes. In 2007, the HKDR protocol was digitalized to establish the web-based Joint Asia Diabetes Evaluation (JADE) Program complete with risk levels and algorithms for issuance of personalized reports to reduce clinical inertia and empower self-management. Through this technologically assisted, integrated diabetes care program, we have generated big data to track secular trends, identify unmet needs, and verify interventions in a naturalistic environment. In 2009, the JADE Program was adapted to form the Risk Assessment and Management Program for Diabetes Mellitus (RAMP-DM) in the publicly funded primary care clinics, which reduced all major events by 30-60% in patients without complications. Meanwhile, a JADE-assisted assessment and empowerment program provided by a university-affiliated, self-funded, nurse-coordinated diabetes center, aimed at complementing medical care in the community, also reduced all major events by 30-50% in patients with different risk levels. By combining universal health coverage, public-private partnerships, and data-driven integrated care, the Hong Kong experience provides a possible solution than can be adapted elsewhere to make quality diabetes care accessible, affordable, and sustainable.

Association between educational level and cardiovascular disease and all-cause mortality in patients with type 2 diabetes: a prospective study in the Joint Asia Diabetes Evaluation Program.

PurposeThe aim of this study was to describe the association between educational level and incident cardiovascular disease (CVD) and all-cause mortality in Hong Kong Chinese patients with type 2 diabetes.Patients and methodsWe included 12,634 patients with type 2 diabetes who were enrolled into the Joint Asia Diabetes Evaluation Program between June 1, 2007, and June 30, 2017. We classified patients’ educational level into the following three groups: ≤6 years, 6–13 years, and >13 years. Incident CVD events were identified using hospital discharge diagnoses. Death was identified from Hong Kong Death Register. We estimated HRs for incident CVD and all-cause mortality using Cox regression models.ResultsPatients with the highest educational level were younger and had shorter diabetes duration and better glycemic control at enrollment than those with the lowest educational level. During the median follow-up of 6.2 years for CVD and 6.4 years for all-cause mortality, 954 CVD events and 833 deaths were recorded. HRs for CVD and all-cause mortality were 0.73 (95% CI: 0.57, 0.94) and 0.71 (95% CI: 0.54, 0.94) for the highest educational level compared to the lowest educational level, after adjustment for age, sex, diabetes duration, and family history of diabetes.ConclusionEducational level is inversely associated with the risk of CVD and all-cause mortality among Hong Kong Chinese patients with type 2 diabetes. Hong Kong Chinese patients with type 2 diabetes and low educational level should be given special attention for the prevention of key complications of diabetes.

Cross-sectional survey of biosimilar insulin utilization in Asia: The Joint Asia Diabetes Evaluation Program.

Aims/IntroductionBiosimilar insulin can reduce treatment costs, although the extent of its use is largely unknown. We examined biosimilar insulin use and its associations with the quality of glycemic control using the Joint Asia Diabetes Evaluation register.Materials and MethodsWe carried out a cross‐sectional analysis in 81,531 patients with type 1 and type 2 diabetes enrolled into the Joint Asia Diabetes Evaluation Program from 2007 to 2014. All insulin related terms are extracted from the Joint Asia Diabetes Evaluation portal, and compared clinical profiles between biosimilar and originator insulin users. Multivariate analysis was performed to assess the association of biosimilar insulin compared with originator insulin with dosage, glycated hemoglobin and hypoglycemia events.ResultsAmongst 81,531 patients, 20.5% (n = 16,738) were insulin‐treated. In four countries with high use of biosimilar insulin, 4.7% (n = 719) of insulin users (n = 10,197) were treated with biosimilar insulin (India n = 507, 70.3%; the Philippines n = 90, 12.5%; China n = 62, 8.6%; Vietnam n = 60, 8.3%). Biosimilar insulin users were younger and had higher body mass index, glycated hemoglobin, insulin dosage and more frequent hypoglycemia than originator insulin users. These associations were non‐significant after adjustment for confounders. Only age, college education, diabetes education, lipid control, physical activity and history of cardiovascular complications were independently associated with these quality measures.ConclusionsBiosimilar insulin use is not uncommon in Asia. Data exclusion due to incomplete capturing of brand names suggests possibly higher use. The multiple determinants of the quality of glycemic control call for establishment of prospective cohorts and diabetes registers to monitor the safety and efficacy of different brands of biosimilar insulin and their impacts on clinical outcomes.

Association of self-reported recurrent mild hypoglycemia with incident cardiovascular disease and all-cause mortality in patients with type 2 diabetes: Prospective analysis of the Joint Asia Diabetes Evaluation Registry.

Severe hypoglycemia is an established risk marker for cardiovascular complications of diabetes, but whether mild hypoglycemia confers similar risks is unclear. We examined the association of self-reported recurrent mild hypoglycemic events with cardiovascular disease (CVD) and all-cause mortality in a prospective cohort of Chinese adults with type 2 diabetes.From June 2007 to May 2015, 19,019 patients in Hong Kong underwent comprehensive assessment of metabolic and complication status using the Joint Asia Diabetes Evaluation program. Recurrent mild hypoglycemic event was determined by self-report of mild-to-moderate hypoglycemic symptoms at least once monthly in previous 3 months. Incident cardiovascular events were identified using hospital discharge diagnosis codes and death using Hong Kong Death Registry.Patients reporting recurrent mild hypoglycemia (n = 1501, 8.1%) were younger, had longer disease duration, worse glycemic control, and higher frequencies of vascular complications at baseline. Over 3.9 years of follow-up, respective incidences of CVD and all-cause death were 18.1 and 10.3 per 1000 person-years and 15.4 and 9.9 per 1000 person-years in patients with and without recurrent mild hypoglycemia. Using multivariate Cox regression analysis, recurrent mild hypoglycemia was not associated with CVD or all-cause mortality. In subgroup analysis, mild hypoglycemia was related to CVD in patients with chronic kidney disease (hazard ratio 1.36, 95% confidence interval 1.01–1.84, P = 0.0435) and those on insulin (hazard ratio 1.37, 95% confidence interval 1.01–1.86, P = 0.0402) adjusted for confounders.Mild hypoglycemia by self-report was frequent in patients with type 2 diabetes and was associated with increased risk of CVD in susceptible groups.

Borderline ankle-brachial index is associated with increased prevalence of micro- and macrovascular complications in type 2 diabetes: A cross-sectional analysis of 12,772 patients from the Joint Asia Diabetes Evaluation Program.

Borderline ankle-brachial index is increasingly recognised as a marker of cardiovascular risk. We evaluated the impact of borderline ankle-brachial index in 12,772 Chinese type 2 diabetes patients from the Joint Asia Diabetes Evaluation Program between 2007 and 2012. Cardiovascular risk factors, complications and health-related quality of life were compared between patients with normal ankle-brachial index (1.0-1.4), borderline ankle-brachial index (0.90-0.99) and peripheral arterial disease (ankle-brachial index < 0.9). The prevalence of peripheral arterial disease and borderline ankle-brachial index was 4.6% and 9.6%, respectively. Borderline ankle-brachial index patients were older, more likely to be smokers and hypertensive, had longer duration of diabetes, poorer kidney function and poorer health-related quality of life than patients with normal ankle-brachial index. After adjustment for traditional cardiovascular risk factors, borderline ankle-brachial index was an independent predictor of diabetes-related micro- and macrovascular complications including retinopathy (odd ratios: 1.19 (95% confidence interval: 1.04-1.37)), macroalbuminuria (1.31 (1.10-1.56)), chronic kidney disease (1.22 (1.00-1.50)) and stroke (1.31 (1.05-1.64)). These findings suggest that patients with diabetes and borderline ankle-brachial index are at increased cardiovascular risk and may benefit from more intensive management.

Delivery of integrated diabetes care using logistics and information technology – The Joint Asia Diabetes Evaluation (JADE) program

Diabetes is a global epidemic, and many affected individuals are undiagnosed, untreated, or uncontrolled. The silent and multi-system nature of diabetes and its complications, with complex care protocols, are often associated with omission of periodic assessments, clinical inertia, poor treatment compliance, and care fragmentation. These barriers at the system, patient, and care-provider levels have resulted in poor control of risk factors and under-usage of potentially life-saving medications such as statins and renin–angiotensin system inhibitors. However, in the clinical trial setting, use of nurses and protocol with frequent contact and regular monitoring have resulted in marked differences in event rates compared to epidemiological data collected in the real-world setting. The phenotypic heterogeneity and cognitive–psychological–behavioral needs of people with diabetes call for regular risk stratification to personalize care. Quality improvement initiatives targeted at patient education, task delegation, case management, and self-care promotion had the largest effect size in improving cardio-metabolic risk factors. The Joint Asia Diabetes Evaluation (JADE) program is an innovative care prototype that advocates a change in clinic setting and workflow, coordinated by a doctor–nurse team and augmented by a web-based portal, which incorporates care protocols and a validated risk engine to provide decision support and regular feedback. By using logistics and information technology, supported by a network of health-care professionals to provide integrated, holistic, and evidence-based care, the JADE Program aims to establish a high-quality regional diabetes database to reflect the status of diabetes care in real-world practice, confirm efficacy data, and identify unmet needs. Through collaborative efforts, we shall evaluate the feasibility, acceptability, and cost-effectiveness of this “high tech, soft touch” model to make diabetes and chronic disease care more accessible, affordable, and sustainable.

Comparison of four cardiovascular risk prediction functions among Chinese patients with diabetes mellitus in the primary care setting.

To assess the feasibility, convergent validity and sensitivity of four cardiovascular risk prediction functions in Chinese diabetic patients in the primary care setting. A cross-sectional study of 1,140 diabetic patients was carried out to compare four cardiovascular risk functions, which were respectively developed from the Framingham heart study, the USA-People's Republic of China Collaborative Study of Cardiovascular and Cardiopulmonary Epidemiology cohort (PRC), the United Kingdom Prospective Diabetes Study (UKPDS) and the Joint Asia Diabetes Evaluation program (JADE). Feasibility was assessed by the percentage of patients with complete data for risk prediction. Convergent validity was measured by Spearman's rank correlation, paired Wilcoxon signed-rank sum test and Bland-Altman plots. Effect size differences between clinical risk groups were used to assess the sensitivity. Risk prediction was feasible by the Framingham, UKPDS and PRC risk functions in more than 98% patients, whereas just 74% of patients had complete data for the JADE function. The annual total coronary heart disease (CHD) risk predicted by the JADE and the UKPDS functions showed excellent agreement with no significant difference, and a correlation of 0.8048. The Framingham and the PRC functions predicted significantly lower CHD risk than those by the UKPDS and the JADE functions. The UKPDS and the Framingham functions were more sensitive in differentiating clinical risk groups. The UKPDS risk engine showed good feasibility, convergent validity and sensitivity in predicting CHD risk in Chinese diabetic patients. The JADE function showed excellent agreement with the UKPDS risk engine, but it was less feasible in the primary care setting.

From design to implementation--the Joint Asia Diabetes Evaluation (JADE) program: a descriptive report of an electronic web-based diabetes management program.

BackgroundThe Joint Asia Diabetes Evaluation (JADE) Program is a web-based program incorporating a comprehensive risk engine, care protocols, and clinical decision support to improve ambulatory diabetes care.MethodsThe JADE Program uses information technology to facilitate healthcare professionals to create a diabetes registry and to deliver an evidence-based care and education protocol tailored to patients' risk profiles. With written informed consent from participating patients and care providers, all data are anonymized and stored in a databank to establish an Asian Diabetes Database for research and publication purpose.ResultsThe JADE electronic portal (e-portal: http://www.jade-adf.org) is implemented as a Java application using the Apache web server, the mySQL database and the Cocoon framework. The JADE e-portal comprises a risk engine which predicts 5-year probability of major clinical events based on parameters collected during an annual comprehensive assessment. Based on this risk stratification, the JADE e-portal recommends a care protocol tailored to these risk levels with decision support triggered by various risk factors. Apart from establishing a registry for quality assurance and data tracking, the JADE e-portal also displays trends of risk factor control at each visit to promote doctor-patient dialogues and to empower both parties to make informed decisions.ConclusionsThe JADE Program is a prototype using information technology to facilitate implementation of a comprehensive care model, as recommended by the International Diabetes Federation. It also enables health care teams to record, manage, track and analyze the clinical course and outcomes of people with diabetes.

The Joint Asia Diabetes Evaluation (JADE) Program: a web‐based program to translate evidence to clinical practice in Type 2 diabetes

The Joint Asia Diabetes Evaluation (JADE) Program is the first web-based program incorporating a comprehensive risk engine, care protocols, clinical decision and self-management support to improve ambulatory diabetes care. The aim was to validate the risk stratification system of the JADE Program using a large prospective cohort. The JADE interactive risk engine stratifies patients into different risk levels using results from an annual comprehensive assessment of complications and risk factors. We used a prospective registry consisting of 7534 Type 2 diabetic patients [45.6% men, median (range) age 57 years (13-92)] to perform internal validation of the risk engine. The JADE Risk Engine categorized patients into four risk levels (from low to high): level 1, n = 4520 (6%); level 2, n = 1468 (19.5%); level 3, n = 4476 (59.4%); and level 4, n = 1138 (15.1%). After a median follow-up period of 5.5 years (mean +/- sd 5.4 +/- 2.81 years), 763 (10.1%) died, 1129 (14.9%) developed cardiovascular disease (CVD), 282 (3.7%) developed end-stage renal disease and 1400 (18.6%) had at least one of these events. Compared with risk level 1, levels 2, 3 and 4 were associated with 2.8-, 4.7- and 8.6-fold increased risk of clinical end-points. Risk levels 3 and 4 were, respectively, associated with 2.2- and 3.9-fold increased risk for all-cause death and 4.8- and 12.1-fold increased CVD risks. Based on results from a comprehensive assessment, the JADE Risk Engine successfully categorizes patients into different risk levels to guide clinical management.