Effects of Non-Face-to-Face Chronic Care Management on Service Utilization and Outcomes Among US Medicare Beneficiaries with Diabetes.

BACKGROUND: Type 2 diabetes mellitus (T2DM) results in heavy economic and disease burdens in Louisiana. The Centers for Medicare and Medicaid Services has reimbursed non-face-to-face chronic care management (NFFCCM) for patients with two or more chronic conditions since 2015. OBJECTIVE: To assess the impacts of NFFCCM on healthcare utilization and health outcomes. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study included Medicare fee-for-service beneficiaries with T2DM and at least one additional chronic disease between 2014 and 2018. EXPOSURES: At least one record of NFFCCM Current Procedural Terminology codes. MAIN MEASURES: The health outcomes in the study included major adverse cardiovascular events (MACE), all-cause mortality, and heart failure. The monthly service utilization and continuity of care index for primary care were also included. The propensity score method was used to balance the baseline differences between the two groups. Weighted multivariate regression models were developed using propensity score weights to assess the impacts of NFFCCM on outcomes. KEY RESULTS: During the 5 years of study period, 8415 patients among the 118,643 Medicare beneficiaries received at least one NFFCCM. Patients receiving any NFFCCM had reduced healthcare utilization compared with patients not receiving NFFCCM, including 0.012 (95% CI - 0.014 to - 0.011; p < 0.001) fewer monthly hospital admissions, 0.017 (95% CI - 0.019 to - 0.016; p < 0.001) fewer monthly ED visits, and 0.399 (95% CI 0.375 to 0.423; p < 0.001) more monthly outpatient encounters. Patients receiving NFFCCM services had lower MACE event rates of 7.4% (95% CI 7.1 to 7.8%; p < 0.001), all-cause mortality rate of 7.8% (95% CI 7.4 to 8.1%; p < 0.001), and heart failure rate of 0.3% (95% CI 0.2 to 0.5%; p < 0.001), respectively. CONCLUSIONS AND RELEVANCE: These findings suggest that reimbursement for NFFCCM was associated with the shifting high-cost utilization to lower-cost primary health care settings among patients with diabetes in Louisiana.

An exploratory analysis of the cost-effectiveness of insulin glargine 300 units/mL versus insulin glargine 100 units/mL over a lifetime horizon using the BRAVO diabetes model.

BACKGROUND: This analysis assessed the cost-effectiveness of insulin glargine 300 units/mL (Gla-300) versus insulin glargine 100 units/mL (Gla-100) in insulin-naïve adults with type 2 diabetes (T2D) inadequately controlled with oral antidiabetic drugs (OADs). METHODS: Costs and outcomes for Gla-300 versus Gla-100 from a US healthcare payer perspective were assessed using the BRAVO diabetes model. Baseline clinical data were derived from EDITION-3, a 12-month randomized controlled trial comparing Gla-300 with Gla-100 in insulin-naïve adults with inadequately controlled T2D on OADs. Treatment costs were calculated based on doses observed in EDITION-3 and 2020 US net prices, while costs for complications were based on published literature. Lifetime costs ($US) and quality-adjusted life-years (QALYs) were predicted and used to calculate incremental cost-effectiveness ratio (ICER) estimates; extensive scenario and sensitivity analyses were conducted. RESULTS: Lifetime medical costs were estimated to be $353,441 and $352,858 for individuals receiving Gla-300 and Gla-100 respectively; insulin costs were $52,613 and $50,818. Gla-300 was associated with a gain of 8.97 QALYs and 21.12 life-years, while Gla-100 was associated with a gain of 8.89 QALYs and 21.07 life-years. This resulted in an ICER of $7522/QALY gained for Gla-300 versus Gla-100. Thus, Gla-300 was cost-effective versus Gla-100 based on a willingness-to-pay threshold of $50,000/QALY. Compared with Gla-100, Gla-300 provided a net monetary benefit of $3290. Scenario and sensitivity analyses confirmed the robustness of the base case. CONCLUSION: Gla-300 may be a cost-effective treatment option versus Gla-100 over a lifetime horizon for insulin-naïve people in the United States with T2D inadequately controlled on OADs.

Telehealth use and its impact on clinical outcomes in patients with type 2 diabetes during the COVID-19 pandemic.

AIM: To evaluate the impact of telehealth use during the COVID-19 pandemic on glycaemic control and other clinical outcomes among patients with type 2 diabetes. METHODS: We used electronic health records from the Research Action for Health Network (REACHnet) database for patients with type 2 diabetes who had telehealth visits and those who only received in-person care during the pandemic. A quasi-experimental method of difference-in-difference with propensity-score weighting was implemented to mitigate selection bias and to control for observed factors related to telehealth use. Outcomes included glycated haemoglobin (HbA1c) and other clinical measures (low-density lipoprotein [LDL] cholesterol, blood pressure [BP], and body mass index [BMI]). RESULTS: Patients using telehealth had better HbA1c control compared to those receiving in-person care only during the pandemic. The telehealth group saw a significant average decrease of 0.146% (95% confidence interval [CI] -0.178% to -0.1145%; P < 0.001) in HbA1c levels over time. The proportion of patients with average HbA1c levels >7% decreased by 0.023 (95% CI -0.034, -0.011; P < 0.001) in the treatment group relative to the comparison group. Modest benefits in the control of LDL cholesterol levels, diastolic BP, and BMI were found in association with telehealth use. CONCLUSIONS: Our findings suggest that telehealth services contributed to better glycaemic control and management of other clinical outcomes in patients with type 2 diabetes during the pandemic. Factors unmeasured in this study would need to be further explored to better understand the impact of telehealth.

5-Year simulation of diabetes-related complications in people treated with tirzepatide or semaglutide versus insulin glargine.

AIM: This study compared the 5-year incidence rate of macrovascular and microvascular complications for tirzepatide, semaglutide and insulin glargine in individuals with type 2 diabetes, using the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes simulation model. RESEARCH DESIGN AND METHODS: This study was a 5-year SURPASS-2 trial extrapolation, with an insulin glargine arm added as an additional comparator. The 1-year treatment effects of tirzepatide (5, 10 or 15 mg), semaglutide (1 mg) and insulin glargine on glycated haemoglobin, systolic blood pressure, low-density lipoprotein and body weights were obtained from the SUSTAIN-4 and SURPASS-2 trials. We used the BRAVO model to predict 5-year complications for each study arm under two scenarios: the 1-year treatment effects persisted (optimistic) or diminished to none in 5 years (conservative). RESULTS: When compared with insulin glargine, we projected a 5-year risk reduction in cardiovascular adverse events [rate ratio (RR) 0.64, 95% confidence interval (CI) 0.61-0.67] and microvascular composite (RR 0.67, 95% CI 0.64-0.70) with 15 mg tirzepatide, and 5-year risk reduction in cardiovascular adverse events (RR 0.75, 95% CI 0.72-0.79) and microvascular composite (RR 0.79, 95% CI 0.76-0.82) with semaglutide (1 mg) under an optimistic scenario. Lower doses of tirzepatide also had similar, albeit smaller benefits. Treatment effects for tirzepatide and semaglutide were smaller but still significantly higher than insulin glargine under a conservative scenario. The 5-year risk reduction in diabetes-related complication events and mortality for the 15 mg tirzepatide compared with insulin glargine ranged from 49% to 10% under an optimistic scenario, which was reduced by 17%-33% when a conservative scenario was assumed. CONCLUSION: With the use of the BRAVO diabetes model, tirzepatide and semaglutide exhibited potential to reduce the risk of macrovascular and microvascular complications among individuals with type 2 diabetes, compared with insulin glargine in a 5-year window. Based on the current modelling assumptions, tirzepatide (15 mg) may potentially outperform semaglutide (1 mg). While the BRAVO model offered insights, the long-term cardiovascular benefit of tirzepatide should be further validated in a prospective clinical trial.

Some patients with type 2 diabetes may benefit from intensive glycaemic and blood pressure control: A post-hoc machine learning analysis of ACCORD trial data.

AIM: The action to control cardiovascular risk in diabetes (ACCORD) trial showed a neutral average treatment effect of intensive blood glucose and blood pressure (BP) controls in preventing major adverse cardiovascular events (MACE) in individuals with type 2 diabetes. Yet, treatment effects across patient subgroups have not been well understood. We aimed to identify patient subgroups that might benefit from intensive glucose or BP controls for preventing MACE. MATERIALS AND METHODS: As a post-hoc analysis of the ACCORD trial, we included 10 251 individuals with type 2 diabetes. We applied causal forest and causal tree models to identify participant characteristics that modify the efficacy of intensive glucose or BP controls from 68 candidate variables (demographics, comorbidities, medications and biomarkers) at the baseline. The exposure was (a) intensive versus standard glucose control [glycated haemoglobin (HbA1c) <6.0% vs. 7.0%-7.9%], and (b) intensive versus standard BP control (systolic BP <120 vs. <140 mmHg). The primary outcome was MACE. RESULTS: Compared with standard glucose control, intensive one reduced MACE in those with baseline HbA1c <8.5% [relative risk (RR): 0.79, 95% confidence interval (CI): 0.67-0.93] and those with estimated glomerular filtration rate ≥106 ml/min/1.73 m2 (RR: 0.74, 95% CI: 0.55-0.99). Intensive BP control reduced MACE in those with normal high-density lipoprotein levels (women >55 mg/dl, men >45 mg/dl; RR: 0.51, 95% CI: 0.34-0.74). Risk reductions were not significant in other patient subgroups. CONCLUSIONS: Our findings suggest heterogeneous treatment effects of intensive glucose and BP control and could provide biomarkers for future clinical trials to identify more precise HbA1c and BP treatment goals for individualized medicine.

Renal function as an effect modifier of intensive glucose control in delaying cognitive function decline among individuals with type 2 diabetes: A revisit to the ACCORD MIND trial.

AIM: Dysglycaemia accelerates cognitive decline. Intensive glucose control may help delay or prevent cognitive function decline (CFD). We aimed to determine how patient characteristics influence the effect of intensive glucose control [glycated haemoglobin (HbA1c) <6.0%] on delaying CFD in people with type 2 diabetes. RESEARCH DESIGN AND METHODS: In this post-hoc analysis of 2977 type 2 diabetes participants from the ACCORD MIND trial, we applied the causal forest and causal tree algorithms to identify the effect modifier of intensive glucose control in delaying CFD from 68 variables (demographics, disease history, medications, vitals and baseline biomarkers). The exposure was intensive versus standard glucose control (HbA1c <6.0% vs. 7.0%-7.9%). The main outcome was cognitive function changes from baseline to the 40th month follow-up, which were evaluated using the digit symbol substitution test, Rey auditory verbal learning test, mini-mental state examination and Stroop test. We used Cohen's d, a measure of standardized difference, to quantify the effect size of intensive glucose control on delaying CFD. RESULTS: Among all the baseline characteristics, renal function was the most significant effect modifier. Participants with urinary albumin levels <0.4 mg/dl [absolute function change (AFC): 0.51 in mini-mental state examination, 95% confidence interval (CI): 0.04, 0.98, Cohen's d: 0.25] had slower CFD with intensive glucose control. Patients with preserved renal function (estimated glomerular filtration rate between 60 and 90 ml/min/1.73 m2) were associated with small benefits (AFC: 1.28 in Stroop, 95% CI: 0.28, 2.27, Cohen's d: 0.12) when undergoing intensive glucose control. Conversely, participants with an estimated glomerular filtration rate <60 ml/min/1.73 m2 (AFC: -0.57 in the Rey auditory verbal learning test, 95% CI: -1.09, -0.05, Cohen's d: -0.30) exhibited faster CFD when undergoing intensive glucose control. Participants who were <60 years old showed a significant benefit from intensive glucose control in delaying CFD (AFC: 1.08 in the digit symbol substitution test, 95% CI: 0.06, 2.10, Cohen's d: 0.13). All p < .05. CONCLUSIONS: Our findings linked renal function with the benefits of intensive glucose control in delaying CFD, informing personalized HbA1c goals for those with diabetes and at risk of CFD.

Comparative Effectiveness of Team-Based Care With and Without a Clinical Decision Support System for Diabetes Management : A Cluster Randomized Trial.

BACKGROUND: Uncontrolled hyperglycemia, hypercholesterolemia, and hypertension are common in persons with diabetes. OBJECTIVE: To compare the effectiveness of team-based care with and without a clinical decision support system (CDSS) in controlling glycemia, lipids, and blood pressure (BP) among patients with type 2 diabetes. DESIGN: Cluster randomized trial. (ClinicalTrials.gov: NCT02835287). SETTING: 38 community health centers in Xiamen, China. PATIENTS: 11 132 persons aged 50 years or older with uncontrolled diabetes and comorbid conditions, 5475 receiving team-based care with a CDSS and 5657 receiving team-based care alone. INTERVENTION: Team-based care was delivered by primary care physicians, health coaches, and diabetes specialists in all centers. In addition, a computerized CDSS, which generated individualized treatment recommendations based on clinical guidelines, was implemented in 19 centers delivering team-based care with a CDSS. MEASUREMENTS: Coprimary outcomes were mean reductions in hemoglobin A1c (HbA1c) level, low-density lipoprotein cholesterol (LDL-C) level, and systolic BP over 18 months and the proportion of participants with all 3 risk factors controlled at 18 months. RESULTS: During the 18-month intervention, HbA1c levels, LDL-C levels, and systolic BP significantly decreased by -0.9 percentage point (95% CI, -0.9 to -0.8 percentage point), -0.49 mmol/L (CI, -0.53 to -0.45 mmol/L) (-19.0 mg/dL [CI, -20.4 to -17.5 mg/dL]), and -9.1 mm Hg (CI, -9.9 to -8.3 mm Hg), respectively, in team-based care with a CDSS and by -0.6 percentage point (CI, -0.7 to -0.5 percentage point), -0.32 mmol/L (CI, -0.35 to -0.29 mmol/L) (-12.5 mg/dL [CI, -13.6 to -11.3 mg/dL]), and -7.5 mm Hg (CI, -8.4 to -6.6 mm Hg), respectively, in team-based care alone. Net differences were -0.2 percentage point (CI, -0.3 to -0.1 percentage point) for HbA1c level, -0.17 mmol/L (CI, -0.21 to -0.12 mmol/L) (-6.5 mg/dL [CI, -8.3 to -4.6 mg/dL]) for LDL-C level, and -1.5 mm Hg (CI, -2.8 to -0.3 mm Hg) for systolic BP. The proportion of patients with controlled HbA1c, LDL-C, and systolic BP was 16.9% (CI, 15.7% to 18.2%) in team-based care with a CDSS and 13.0% (CI, 11.7% to 14.3%) in team-based care alone. LIMITATION: There was no usual care control, and clinical outcome assessors were unblinded; the analysis did not account for multiple comparisons. CONCLUSION: Compared with team-based care alone, team-based care with a CDSS significantly reduced cardiovascular risk factors in patients with diabetes, but the effect was modest. PRIMARY FUNDING SOURCE: Xiamen Municipal Health Commission.

Optimizing Telehealth for Diabetes Management in the Deep South of the United States: Qualitative Study of Barriers and Facilitators on the Patient and Clinician Journey.

BACKGROUND: The Deep South of the United States, and Louisiana in particular, bears a greater burden of obesity, diabetes, and heart disease compared with other regions in the United States. Throughout the COVID-19 pandemic, there has been a substantial increase in telehealth visits for diabetes management to protect the safety of patients. Although there have been significant advancements in telehealth and chronic disease management, little is known about patient and provider perspectives on the challenges and benefits of telehealth visits among people living with diabetes and providers who care for patients with diabetes in Louisiana. OBJECTIVE: This study aimed to explore barriers, facilitators, challenges, and benefits to telehealth for patients with diabetes and health care providers as they transitioned from in-person to remote care during the early COVID-19 pandemic to understand potential optimization. METHODS: A total of 24 semistructured qualitative interviews were conducted with 18 patients living with diabetes and 6 clinicians who served patients with diabetes to explore their experiences and perceptions of telehealth services for diabetes care. Approximately half of the participants identified as Black or African American, half as White, and 75% as female. Interviews were recorded, transcribed, and coded by experienced qualitative researchers using inductive and deductive techniques. A narrative, descriptive approach to the patient and clinician journey framed the study, including the development of internal journey maps, and reflexive thematic analysis was applied to the transcripts, with special attention to barriers and facilitators. RESULTS: In total, 5 themes illustrated barriers and facilitators for participants: convenience, safety, and comfort are the benefits of telehealth for patients and clinicians; yet telehealth and in-person visits are valued differently; the convenience of telehealth may have a downside; technology acts as a double-edged sword; and managing expectations and efficiency of the visit experience was an important factor. Individual experiences varied in relation to several factors, including comfort level and access to technology, health system protocols for providing telemedicine, and level of diabetes control among patients. CONCLUSIONS: Recommendations for optimization include providing support to help guide and inform patients about what to expect and how to prepare for telehealth visits as well as allowing clinicians to schedule telehealth and in-person visits during discrete blocks of time to improve efficiency. Further research should address how hybrid models of telehealth and in-person care may differentially impact health outcomes for patients with diabetes, particularly for people with multiple chronic conditions in settings where access to technology and connectivity is not optimal.

Predictors of Telehealth Utilization and Subsequent Inpatient Stays and Emergency Visits During the COVID-19 Pandemic Among Patients with Type 2 Diabetes: Evidence from Louisiana.

Objective: To understand which types of Medicare patients with diabetes disproportionately used telehealth during the coronavirus disease 2019 pandemic and how their characteristics mediated their inpatient and emergency department (ED) utilization. Methods: Logistic regression analyses were used to measure the associations between patient characteristics and telehealth utilization using electronic health records among Medicare patients with diabetes (n = 31,654). Propensity score matching was used to examine the relative impact of telehealth use in conjunction with race, ethnicity, and age on inpatient and ED outcomes. Results: Telehealth was associated with age (75-84 vs. 65-74; odds ratio [OR] = 0.810, p < 0.01), gender (female: OR = 1.148, p < 0.01), and chronic diseases (e.g., lung disease: OR = 1.142; p < 0.01). Black patients using telehealth were less likely to visit the ED (estimate = -0.018; p = 0.08), whereas younger beneficiaries using telehealth were less likely to experience an inpatient stay (estimate = -0.017; p = 0.06). Conclusions: Telehealth expansion particularly benefited the clinically vulnerable but saw uneven use and uneven benefit along sociodemographic lines. Clinical Trial Registration Number: NCT03136471.

Telehealth and Medicare Type 2 Diabetes Care Outcomes: Evidence From Louisiana.

BACKGROUND: At the onset of the COVID-19 pandemic, the Centers for Medicare and Medicaid Services broadened access to telehealth. This provided an opportunity to test whether diabetes, a risk factor for COVID-19 severity, can be managed with telehealth services. OBJECTIVE: The objective of this study was to examine the impacts of telehealth on diabetes control. RESEARCH DESIGN: A doubly robust estimator combined a propensity score-weighting strategy with regression controls for baseline characteristics using electronic medical records data to compare outcomes in patients with and without telehealth care. Matching on preperiod trajectories in outpatient visits and weighting by odds were used to ensure comparability between comparators. SUBJECTS: Medicare patients with type 2 diabetes in Louisiana between March 2018 and February 2021 (9530 patients with a COVID-19 era telehealth visit and 20,666 patients without one). MEASURES: Primary outcomes were glycemic levels and control [ie, hemoglobin A1c (HbA1c) under 7%]. Secondary outcomes included alternative HbA1c measures, emergency department visits, and inpatient admissions. RESULTS: Telehealth was associated with lower pandemic era mean A1c values [estimate=-0.080%, 95% confidence interval (CI): -0.111% to -0.048%], which translated to an increased likelihood of having HbA1c in control (estimate=0.013; 95% CI: 0.002-0.024; P<0.023). Hispanic telehealth users had relatively higher COVID-19 era HbA1c levels (estimate=0.125; 95% CI: 0.044-0.205; P<0.003). Telehealth was not associated with differences in the likelihood of having an emergency department visits (estimate=-0.003; 95% CI: -0.011 to 0.004; P<0.351) but was associated with more the likelihood of having an inpatient admission (estimate=0.024; 95% CI: 0.018-0.031; P<0.001). CONCLUSION: Telehealth use among Medicare patients with type 2 diabetes in Louisiana stemming from the COVID-19 pandemic was associated with relatively improved glycemic control.

The Impact of Reimbursement for Non-Face-to-Face Chronic Care Management on Comprehensive Metabolic Biomarkers Among Multimorbid Patients With Type 2 Diabetes.

AIMS: We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on comprehensive metabolic risk factors among multimorbid Medicare beneficiaries with type 2 diabetes in Louisiana. MATERIALS AND METHODS: We implemented a propensity score method to obtain comparable treatment (n=1501 with NFFCCM) and control (n=17,524 without NFFCCM) groups. Patients with type 2 diabetes were extracted from the electronic health records stored in REACHnet. The study period was from 2013 to February 2020. The comprehensive metabolic risk factors included the primary outcome of glycated hemoglobin (HbA1c) (as the primary outcome) and the secondary outcomes of body mass index (BMI), systolic blood pressure (BP), and low-density lipoprotein cholesterol. RESULTS: Receiving any NFFCCM was associated with improvement in all outcomes measures: a reduction in HbA1c of 0.063% (95% CI: 0.031%-0.094%; P <0.001), a reduction in BMI of 0.155 kg/m 2 (95% CI: 0.029-0.282 kg/m 2 ; P =0.016), a reduction in systolic BP of 0.816 mm Hg (95% CI: 0.469-1.163 mm Hg; P <0.001), and a reduction in low-density lipoprotein cholesterol of 1.779 mg/dL (95% CI: 0.988 2.570 mg/dL; P <0.001). Compared with the control group, the treatment group had 1.6% more patients with HbA1c <7% (95% CI: 0.3%-2.9%; P =0.013). CONCLUSIONS: Patients with diabetes in Louisiana receiving NFFCCM experienced better control of HbA1c, BMI, BP, and low-density lipoprotein outcomes.

Cost-effectiveness analysis of once-daily insulin glargine 300 U/mL versus insulin degludec 100 U/mL using the BRAVO diabetes model.

AIMS: A cost-effectiveness analysis was conducted to compare insulin glargine 300 U/mL (Gla-300) versus insulin degludec 100 U/mL (IDeg-100) in insulin-naïve adults with type 2 diabetes (T2D) sub-optimally controlled with oral anti-diabetic drugs (OADs). METHODS: The BRAVO diabetes model was used to assess costs and outcomes for once-daily Gla-300 versus once-daily IDeg-100 from a US healthcare sector perspective. Baseline clinical data were based on BRIGHT, a 24-week, non-inferiority, randomised control trial comparing Gla-300 and IDeg-100 in adults with T2D sub-optimally controlled with OADs (with or without glucagon-like peptide-1 receptor agonists). Treatment costs were based on doses observed in BRIGHT as well as net prices. Costs associated with complications were based on published literature. Lifetime costs (US$) and quality-adjusted life-years (QALYs) were predicted and used to calculate incremental cost-effectiveness ratio estimates; extensive scenario and sensitivity analyses were conducted. RESULTS: Overall lifetime medical costs were estimated to be $327,904 and $330,154 for people receiving Gla-300 and IDeg-100, respectively; insulin costs were $43,477 and $44,367, respectively. People receiving Gla-300 gained 8.024 QALYs and 18.55 life-years, while people receiving IDeg-100 gained 7.997 QALYs and 18.52 life-years. Because Gla-300 was associated with a cost-saving of $2250 and 0.027 additional QALYs, it was considered to be dominant compared with IDeg-100. Results of the scenario and sensitivity analyses confirmed the robustness of the base case results. CONCLUSION: Gla-300 was the dominant treatment option compared with IDeg-100 based on the willingness-to-pay threshold of $50,000/QALY. Results remained robust against a wide range of alternative assumptions on key parameters.

A prediction model on incident chronic kidney disease among individuals with type 2 diabetes in the United States.

AIM: Early identification of incident chronic kidney disease (CKD) in individuals with diabetes may help improve patients' clinical outcomes. This study aimed to develop a prediction equation for incident CKD among people with type 2 diabetes (T2D). MATERIALS AND METHODS: A time-varying Cox model was applied to data from the ACCORD trial to predict the risk of incident CKD. A list of candidate variables was chosen based on literature reviews and experts' consultations, including demographic characteristics, vitals, laboratory results, medical history, drug use and health care utilization. Model performance was evaluated. Decomposition analysis was conducted, and external validation was performed. RESULTS: In total, 6006 patients with diabetes free of CKD were included, with a median follow-up of 3 years and 2257 events. The risk model included age at T2D diagnosed, smoking status, body mass index, high-density lipoprotein, very-low-density lipoprotein, alanine aminotransferase, estimated glomerular filtration rate, urine albumin-creatinine ratio, hypoglycaemia, retinopathy, congestive heart failure, coronary heart disease history, antihyperlipidaemic drug use, antihypertensive drug use and hospitalization. The urine albumin-creatinine ratio, estimated glomerular filtration rate and congestive heart failure were the top three factors that contributed most to the incident CKD prediction. The model showed acceptable discrimination [C-statistic: 0.772 (95% CI 0.767-0.805)] and calibration [Brier Score: 0.0504 (95% CI 0.0477-0.0531)] in the Harmony Outcomes Trial. CONCLUSION: Incident CKD prediction among individuals with T2D was developed and validated for use in decision support of CKD prevention.

Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes.

AIM: To examine trends in telehealth use among Medicaid beneficiaries with type 2 diabetes (T2D) before and during the coronavirus disease 2019 (COVID-19) pandemic and identify factors related to telehealth use. METHODS: We compared monthly proportions of outpatient visits delivered by telehealth by race/ethnicity, geography and age among Louisiana Medicaid beneficiaries with T2D using claims data from January 2018 to August 2021. We also examined the changes in provider types delivering telehealth. Multivariable logistic regression was conducted to identify individual level and zip code-level factors associated with telehealth use during the COVID-19 pandemic. RESULTS: The monthly proportion of outpatient visits delivered by telehealth was low (< 1%) before the pandemic, spiked in April 2020 (> 15%), then remained at approximately 5%. Telehealth use varied across different racial/ethnic groups, geography and age groups over years. Older beneficiaries were less probable to use telehealth during the pandemic (adjusted odds ratio [AOR] = 0.874, 95% confidence interval [CI]: 0.831-0.919). Females used more telehealth than males (AOR = 1.359, 95% CI: 1.298-1.423). Black beneficiaries used more telehealth than White beneficiaries (AOR = 1.067, 95% CI: 1.000-1.139). More telehealth services were used by Medicaid beneficiaries who were living in urban areas, with more primary care utilization, and with more chronic conditions at baseline. CONCLUSIONS: We found disparities in the uptake of telehealth during the COVID-19 pandemic, but they might have been narrowed for some groups (Hispanic and rural) among Louisiana Medicaid beneficiaries with T2D. Future studies should explore strategies to improve access to telehealth services and reduce related disparities for the low-income population.

The Impact of Reimbursement for Non-Face-to-Face Chronic Care Management on Health Utilization Among Patients With Type 2 Diabetes in Louisiana.

OBJECTIVES: We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on healthcare utilization among Medicare beneficiaries with type 2 diabetes in Louisiana. METHODS: We implemented group-based trajectory balancing and propensity score matching to obtain comparable treatment (with NFFCCM) and control (without NFFCCM) groups at baseline. Patients with diabetes with Medicare as their primary payer at baseline were extracted using electronic health records of 3 health systems from Research Action for Health Network, a Clinical Research Network. The study period is from 2013 to early 2020. Our outcomes include general healthcare utilization (outpatient, emergency department, and inpatient encounters) and health utilization related to diabetic complications. We tested each of these outcomes according to multiple treatment definitions and different subgroups. RESULTS: Receiving any NFFCCM was associated with an increase in outpatient visits of 657 (95% confidence interval [CI] 626-687; P < .001) per 1000 patients per month, a decrease in inpatient admissions of 5 (95% CI 2-7; P < .001) per 1000 patients per month, and a decrease in emergency department visits of 4 (95% CI 1-7; P = .005) per 1000 patients per month after 24-month follow-up from initial NFFCCM encounter. Both complex and noncomplex NFFCCM significantly increased visits to outpatient services and inpatient admissions per month. Receiving NFFCCM has a dose-response association with increasing outpatient visits per month. CONCLUSIONS: Patients with diabetes in Louisiana who received NFFCCM had more low-cost primary healthcare and less high-cost healthcare utilization in general. The cost savings of NFFCCM in diabetes management could be further explored in the future.

Successes and challenges of China's health care reform: a four-decade perspective spanning 1985-2023.

Chinese health system remains the crucial one for understanding the wider healthcare landscape across the Global South and in particular the leading Emerging Markets. Purpose of our observation was to understand the inner dynamics of mainland Chinese health reforms adopting a lengthy time horizon. We have analysed the public reports and seminal evidence on Chinese of multiple waves of national health reforms taking place since 1980s in terms of medical care and pharmaceuticals provision and financing. Chinese international trade with ASEAN nations and wider South-East Asia is accelerating its growth after the recovery of trade routes. In terms of health sector this means that global demand and supply of medical goods, services and pharmaceuticals remains largely driven by Chinese domestic developments. Furthermore, Chinese domestic manufacturing and sales of decent quality medical devices and services have grown exponentially. Some temporary pitfalls and increasing in rural-urban inequalities in equity of access and affordability of medical care and pharmaceuticals did take place. Despite these difficulties to generate a balanced development strategy for the largest global market, this is a clear path upwards. Further upcoming improvements expanding health insurance coverage are in strong demand for certain layers of the society. Domestic bottleneck weaknesses yet remain manufacturing, import and market penetration of cutting-edge pharmaceuticals such as monoclonal antibodies and targeted oncology agents. Yet some of these obstacles are likely to be overcome in foreseeable future with the adoption of responsible strategies by governmental agencies in health care arena.

Valuing Chinese medicine quality of life-11 dimensions (CQ-11D) health states using a discrete choice experiment with survival duration (DCETTO).

OBJECTIVE: To explore generating a health utility value set for the Chinese medicine Quality of life-11 Dimensions (CQ-11D), a utility instrument designed to assess patients' health status while receiving TCM treatment, among the Chinese population. METHODS: The study was designed to recruit at least 2400 respondents across mainland China to complete one-to-one, face-to-face interviews. Respondents completed ten discrete choice experiment with survival duration (DCETTO) tasks during interviews. The conditional logit models were used to generate the health utility value set for the CQ-11D using the DCETTO data. RESULTS: A total of 2,586 respondents were invited to participate in the survey and 2498 valid interviews were completed (a completion rate of 96.60%). The modified conditional logit model with combing logically inconsistent levels was ultimately selected to construct the health utility value set for the CQ-11D instrument. The range of the measurable health utility value was -0.868 ~ 1. CONCLUSION: The study provides the first utility value set for the CQ-11D among the Chinese population. The CQ-11D and corresponding utility value set can be used to measure the health utility values of patients undergoing traditional Chinese medicine interventions, and further facilitate relevant cost-utility analyses. The application of the CQ-11D can support TCM resource allocation in China.

Chinese Patients' Virtual Consultation Use of Different Sponsorship Types of Telemedicine Platforms: A Cross-Sectional Study in Zhejiang Province, China.

Background: Virtual consultation has been one of the most prevalent direct-to-consumer telemedicine services in China. However, little is known about patients' virtual consultation use of different sponsorship types of telemedicine platforms. This study aimed to examine Chinese patients' virtual consultation use and identify the factors that affect consultation use of different sponsorship types of platforms. Methods: We conducted a cross-sectional survey on 1,653 participants in tier 1, tier 2, and tier 3 hospitals in 3 cities with different income levels, in Zhejiang Province, in May and June 2019. Multinomial logistic regression analysis was used to identify the factors that affect patients' virtual consultation use of different sponsorship types of platforms. Results: The most frequently used consultation platform was digital health company-sponsored platforms (36.60%), hospital-sponsored platforms (34.57%), doctors' personal social media (11.09%), other company-sponsored platforms (9.24%), and medical e-commerce company-sponsored platforms (8.50%). The patients' virtual consultation use of different sponsorship types of platforms was determined by education levels, monthly income levels, perceived health status, internet use, and city income levels. Conclusions: Chinese patients' virtual consultation service use varied by platform sponsorship type. Digital health company-sponsored platforms owned advantages over other platform types in high-end consumers with higher education levels, higher income levels, living in high-income cities, and active in internet use. This study implied that different sponsorship types of direct-to-consumer telemedicine platforms in China differ from each other in online health care resource allocation, business model, and competitive advantage.

Evaluating Natural Experiments that Impact the Diabetes Epidemic: an Introduction to the NEXT-D3 Network.

PURPOSE OF REVIEW: Diabetes is an ongoing public health issue in the USA, and, despite progress, recent reports suggest acute and chronic diabetes complications are increasing. RECENT FINDINGS: The Natural Experiments for Translation in Diabetes 3.0 (NEXT-D3) Network is a 5-year research collaboration involving six academic centers (Harvard University, Northwestern University, Oregon Health & Science University, Tulane University, University of California Los Angeles, and University of California San Francisco) and two funding agencies (Centers for Disease Control and Prevention and National Institutes of Health) to address the gaps leading to persisting diabetes burdens. The network builds on previously funded networks, expanding to include type 2 diabetes (T2D) prevention and an emphasis on health equity. NEXT-D3 researchers use rigorous natural experiment study designs to evaluate impacts of naturally occurring programs and policies, with a focus on diabetes-related outcomes. NEXT-D3 projects address whether and to what extent federal or state legislative policies and health plan innovations affect T2D risk and diabetes treatment and outcomes in the USA; real-world effects of increased access to health insurance under the Affordable Care Act; and the effectiveness of interventions that reduce barriers to medication access (e.g., decreased or eliminated cost sharing for cardiometabolic medications and new medications such as SGLT-2 inhibitors for Medicaid patients). Overarching goals include (1) expanding generalizable knowledge about policies and programs to manage or prevent T2D and educate decision-makers and organizations and (2) generating evidence to guide the development of health equity goals to reduce disparities in T2D-related risk factors, treatment, and complications.

Predicting incident heart failure among patients with type 2 diabetes mellitus: The DM-CURE risk score.

AIM: Early identification and prediction of incident heart failure (HF) is important because of severe morbidity and mortality. This study aimed to predict onset of HF among patients with diabetes. METHODS: A time-varying Cox model was derived from ACCORD clinical trial to predict the risk of incident HF, defined by hospitalization for HF (HHF). External validation was performed on patient-level data from the Harmony Outcome trial and Chronic Renal Insufficiency Cohort (CRIC) study. The model was transformed into an integer-based scoring algorithm for 10-year risk evaluation. A stepwise algorithm identified and selected predictors from demographic characteristics, physical examination, laboratory results, medical history, medication and health care utilization, to develop a risk prediction model. The main outcome was incident HF, defined by HHF. The C statistic and Brier score were used to assess model performance. RESULTS: In total, 9649 patients with diabetes free of HF were used, with median follow-up of 4 years and 299 incident hospitalization of HF events. The model identified several predictors for the 10-year HF incidence risk score 'DM-CURE': socio-Demographic [education, age at type 2 diabetes (T2DM) diagnosis], Metabolic (glycated haemoglobin, systolic blood pressure, body mass index, high-density lipoproteins), diabetes-related Complications (myocardial infarction, revascularization, cardiovascular medications, neuropathy, hypertension duration, albuminuria, urine albumin-to-creatinine ratio, End Stage Kidney Disease), and health care Utilization (all-cause hospitalization, emergency room visits) for Risk Evaluation. Among them, the strongest impact factors for future HF were age at T2DM diagnosis, health care utilization and cardiovascular disease-related variables. The model showed good discrimination (C statistic: 0.838, 95% CI: 0.821-0.855) and calibration (Brier score: 0.006, 95% CI: 0.006-0.007) in the ACCORD data and good performance in the validation data (Harmony: C statistic: 0.881, 95% CI: 0.863-0.899; CRIC: C statistic: 0.813, 95% CI: 0.794-0.833). The 10-year risk of incident HF increased in a graded fashion, from ≤1% in quintile 1 (score ≤14), 1%-5% in quintile 2 (score 15-23), 5%-10% in quintile 3 (score 24-27), 10%-20% in quintile 4 (score 28-33) and ≥20% in quintile 5 (score >33). CONCLUSIONS: The DM-CURE model and score were useful for population risk stratification of incident HHF among patients with T2DM and can be easily applied in clinical practice.