Economic Burdens for Treatment of Patients With Type 2 Diabetes in North Thailand: A Hospital-Based Observational Study

Financial Toxicity in Diabetes: The State of What We Know

PURPOSE OF REVIEW

This systematic examination quantifies financial toxicity- the economic burden and related financial distress experienced by patients due to medical costs- in diabetes management globally, analyzing prevalence, mechanisms, and interventions across diverse healthcare systems and geographic contexts.

RECENT FINDINGS

Data indicates 30-60% of diabetes patients experience financial toxicity, with household expenditures ranging from 5 to 40% of income on disease management, and demographic disparities evident. Current intervention strategies demonstrate limited efficacy, particularly in resource-constrained settings, while policy approaches show mixed results across economic contexts. Financial toxicity operates through four identified pathways: direct expenses, indirect costs (productivity/caregiver burden), insurance coverage limitations, and structural access barriers. Research priorities include developing validated measurement instruments for diabetes financial toxicity, implementing contextually appropriate interventions, and establishing causative relationships between financial burden and clinical outcomes through longitudinal studies.

Impact of streptozotocin-induced type 1 and type 2 diabetes on ocular surface microbial signatures in C57BL/6J mice

The ocular surface (OS), like other mucosal sites, hosts a diverse microbiome. However, the impact of hyperglycemia associated with diabetes on OS microbial composition remains poorly understood. In this study, we established type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) models in C57BL/6J mice by administering high-dose streptozotocin (STZ) for T1DM and low-dose STZ combined with a high-fat diet for T2DM. The OS microbiome was characterized and analyzed using 16S rRNA sequencing. The results showed that neither T1DM nor T2DM significantly affected microbial richness compared to normal mice; however, T2DM led to a significant reduction in microbial diversity. This reduction in microbial diversity in T2DM is consistent with known microbial dysbiosis in diabetes, which may contribute to the pathogenesis of ocular complications such as dry eye disease and diabetic retinopathy. Community composition analysis identified Proteobacteria, Pelagibacterium, and Aliihoeflea as the core OS bacteria in normal mice. Diabetes significantly altered the OS microbial composition at various taxonomic levels. Specifically, T1DM was associated with 9 signature bacterial species, including Oceanospirillales, Bacillales, Halomonas, unclassified_f_Lachnospiraceae, and Anoxybacillus. T2DM exhibited 17 bacterial markers, including Firmicutes, Staphylococcus, Corynebacterium, and Parasutterella. Functional prediction of the microbiota using PICRUSt2 indicated potential impairments in carbohydrate metabolism due to diabetes. In conclusion, diabetic mice exhibit severe dysregulation of their OS microbiota, and restoring microbial balance in diabetic patients may represent a promising strategy for preventing and treating diabetic OS pathologies.

Characterization of treatment intensified (add-on to metformin) adults with type 2 diabetes in Thailand: A cross-sectional real-world study (CONVERGE)

OBJECTIVE

The CONVERGE (Cardiovascular Outcomes and Value in the Real-World with GLP-1RAs) study characterized demographics, clinical characteristics, and medication use in treatment-intensified (add-on to metformin) adults with type 2 diabetes (T2D) in Thailand.

METHODS

A retrospective cross-sectional study of data from medical records (Jul 26, 2013, to Dec 31, 2017) was descriptively summarized for overall population and subgroups defined by glucose-lowering agent (GLA) classes.

RESULTS

Data from 1,000 adults were collected in reverse chronological order. At baseline, the mean (SD) age was 60 (12) years, HbA1c was 8.0%, and the median (IQR) T2D duration was 1.0 (0.2-2.4) years. Patients taking SGLT2-is (sodium glucose cotransporter-2 inhibitors) had a longer T2D duration (1.8 years, 0.8-3.2), GLP-1RAs (glucagon-like peptide-1 receptor agonists) had a higher body mass index of 32.0 (8.84) kg/m2, and insulin subgroup had a higher HbA1c 8.5% (7.5-10.1). The utilization of GLP-1 RAs/SGLT-2is was low (1.5% and 6%, respectively). Among the subgroups, most patients in the GLP-1RA (80.0%) and insulin subgroup (81.3%) receiving 3/≥4 GLAs. The most frequently prescribed GLAs post-metformin were sulfonylureas (45.2%) and dipeptidyl peptidase-4 inhibitors (39.4%). Overall, 90% received ≥1 cardiovascular (CV) medication; lipid-lowering agents (78%) were the most prescribed.

CONCLUSIONS

These results indicate low utilization of GLAs with CV benefits, attributed to a lack of CV benefit data during the study period and partial reimbursement implementation. Future studies must identify barriers to adoption and estimate the usage of these GLAs with CV benefits as more evidence becomes available on positive CV outcomes to improve patient care in Thailand.

Budget impact analysis of insulin glargine vs. isophane protamine insulin treatment for patients with type-2 diabetes and severe hypoglycemia in Thailand

Objective

This study aimed to assess the financial impact of different adoption rates of insulin glargine (IGlar) treatment compared to isophane protamine (neutral protamine hagedorn [NPH]) insulin treatment for patients with type-2 diabetes (T2D) and severe hypoglycemia in Thailand from the payer's perspective.

Methods

The budget impact analysis (BIA) model over a period of 5 years was used to estimate the net budget impact (NBI) of IGlar treatment by comparing the total budget expenditures under two scenarios: scenario 1 involved only NPH insulin and scenario 2 included the introduction of IGlar. The total budget included either the cost of insulin or a combination of the costs of insulin and the expense related to severe hypoglycemia. Scenario 2 started at 20% uptake of IGlar and a yearly increase of 20%. NBI was calculated as the difference between the total budgets of scenarios 1 and 2. NBI and one-way sensitivity analyses were conducted for evaluation.

Results

Considering only the cost of insulin, the use of IGlar for patients with T2D and severe hypoglycemia resulted in a yearly average NBI of 174.9 million Thai baht (THB) (5.1 million USD). However, when the cost related to severe hypoglycemia was included, the total budget incurred from scenario 2 was less than that of scenario 1, leading to a negative NBI or cost savings.

Conclusion

The NBI of IGlar adoption would be substantial when considering only the cost of insulin; however, the significant benefit of IGlar in terms of a lower rate of severe hypoglycemia compared with NPH insulin would clearly offset the additional cost of IGlar.

Projected Cost Savings With Optimal Medication Adherence in Patients With Cardiovascular Disease Requiring Lipid-Lowering Therapy: A Multinational Economic Evaluation Study

BACKGROUND

Poor adherence to chronic cardiovascular treatments can impede targeted clinical outcomes. This study estimates the potential benefits of improving adherence among patients with cardiovascular disease requiring secondary prevention in Mexico, Thailand, and China.

METHODS AND RESULTS

We performed Markov model simulation for patients with cardiovascular disease in 3 countries from health care and societal perspectives over a lifetime horizon. Two scenarios were compared: (1) optimal adherence based on a meta-analysis of 51 randomized controlled trials and (2) status quo. The association between adherence and cardiovascular disease outcomes derives from a dose-response meta-analysis of 4 051 338 patients. Outcomes include the accumulated number of cardiovascular events and associated costs in 2022 US dollars, life years, and quality-adjusted life years. Optimal adherence could prevent 42 (95% credible interval [CrI], 29-56) cardiovascular events in Mexico, 34 (95% CrI, 24-50) in Thailand, and 63 (95% CrI, 43-89) in China per 1000 patients over a lifetime. Incremental effectiveness per patient was 0.60 (95% CrI, 0.47-0.74) life-years in Mexico, 0.68 (95% CrI, 0.37-0.94) quality-adjusted life years in Thailand, and 0.93 (95% CrI, 0.44-1.27) quality-adjusted life years in China. Cost savings from societal perspective amounted to $412 (95% CrI, $211-$723), $316 (95% CrI, $187-$541), and $700 (95% CrI, $355-$1144) per patient for Mexico, Thailand, and China, respectively. Findings remained cost saving in deterministic and probabilistic sensitivity analyses.

CONCLUSIONS

Achieving optimal adherence in patients with cardiovascular disease requiring lipid-lowering therapy saves costs and improves health outcomes in Mexico, Thailand, and China. These findings support national health care systems implementing strategies to improve adherence in these countries.

Factors and economic burden of non-severe hypoglycemia among insulin-treated type 2 diabetes patients: a cross-sectional study

OBJECTIVE

This cross-sectional survey was performed to assess the prevalence, factors, and economic burden of non-severe hypoglycemia among insulin-treated type 2 diabetes (T2D) patients in northern Thailand.

METHODS

Between April 2021 and August 2022, 600 participants were evaluated via structured questionnaires containing sociodemographic and clinical characteristics, medications, and economic burden. Patients were divided into two groups (having and not having non-severe hypoglycemia). Variables with a p value <.05 in the univariate model were included in the multivariate model.

RESULTS

The percentage of non-severe hypoglycemia was 50.3% (302/600). Of all participants, the average age was 61.4 ± 26.0 years, 55.7% were female, 53.5% used premix insulin, and the average duration of diabetes was 16.1 ± 10.0 years. Multivariate logistic regression analysis indicated that age (OR = .96; p <.001), duration of diabetes (OR = 1.04; p <.001), BMI (OR = .95; p = .002), thiazolidinedione (OR = 1.56; p = .012) and insulin regimens were associated with having non-severe hypoglycemia. Compared to basal insulin, basal bolus (OR = 6.93; p = .001), basal plus (OR = 3.58; p <.001), and premix insulin (OR = 1.83; p =.003) were associated with hypoglycemia. Greater numbers of sick leave were found in the hypoglycemia group (14 vs 4 patients, p = .029).

CONCLUSIONS

These findings help to individuate those patients who are at higher risk of non-severe hypoglycemia in insulin-treated T2D patients. Compared to the non-hypoglycemia group, patients with hypoglycemia were younger, had longer diabetes duration, lower BMI, received thiazolidinedione and insulin regimens such as premix, basal plus, or basal bolus insulins, and more productivity loss.

Comparison of clinical characteristics and disease burden between early- and late-onset type 2 diabetes patients: a population-based cohort study

BACKGROUND

The clinical characteristics of early-onset type 2 diabetes (T2D) patients are not fully understood. To address this gap, we conducted a cohort study to evaluate clinical characteristics and disease burden in the new-onset T2D population, especially regarding the progression of diseases.

METHODS

This cohort study was conducted using a population-based database. Patients who were diagnosed with T2D were identified from the database and were classified into early- (age < 40) and late-onset (age ≥ 40) groups. A descriptive analysis was performed to compare clinical characteristics and disease burden between early- and late-onset T2D patients. The progression of disease was compared using Kaplan‒Meier analysis.

RESULTS

A total of 652,290 type 2 diabetic patients were included. Of those, 21,347 were early-onset patients, and 300,676 were late-onset patients. Early-onset T2D patients had poorer glycemic control than late-onset T2D patients, especially at the onset of T2D (HbA1c: 9.3 [7.5, 10.9] for early-onset vs. 7.7 [6.8, 9.2] for late-onset, P < 0.001; random blood glucose: 10.9 [8.0, 14.3] for early-onset vs. 8.8 [6.9, 11.8] for late-onset, P < 0.001). Insulin was more often prescribed for early-onset patients (15.2%) than for late-onset patients (14.8%). Hypertension (163.0 [28.0, 611.0] days) and hyperlipidemia (114.0 [19.0, 537.0] days) progressed more rapidly among early-onset patients, while more late-onset patients developed hypertension (72.7% vs. 60.1%, P < 0.001), hyperlipidemia (65.4% vs. 51.0%, P < 0.001), cardiovascular diseases (66.0% vs. 26.7%, P < 0.001) and chronic kidney diseases (5.5% vs. 2.1%, P < 0.001) than early-onset patients.

CONCLUSIONS

Our study results indicate that patients with newly diagnosed early-onset T2D had earlier comorbidities of hypertension and hyperlipidemia. Both clinical characteristics and treatment patterns suggest that the degree of metabolic disturbance is more severe in patients with early-onset type 2 diabetes. This highlights the importance of promoting healthy diets or lifestyles to prevent T2D onset in young adults.

The prevalence and economic burden of treatment-resistant depression in Thailand

BACKGROUND

The objectives of this study were to investigate the proportion of treatment-resistant depression (TRD) among patients with diagnosed major depressive disorder (MDD) and undergoing antidepressant treatment, to estimate the economic cost of MDD, TRD, and non-treatment-resistant depression (non-TRD), and to examine the differences between TRD and non-TRD MDD in a Thai public tertiary hospital.

METHODS

This was a combined study between retrospective review of medical records and a cross-sectional survey. The sample size was 500 dyads of antidepressant-treated MDD patients and their unpaid caregivers. MDD patients' medical records, the concept of healthcare resource utilization, the Work Productivity and Activity Impairment Questionnaire: depression and mood & mental state versions (WPAI: D, MM), the Class Impairment Questionnaire (CIQ), and the Family Experiences Interview Schedule (FEIS) were applied as the tools of the study. Pearson Chi's square, Fisher's Exact test, and independent T-test were employed for statistical analysis.

RESULTS

The proportion of TRD was 19.6% among antidepressant-treated MDD patients in a Thai tertiary public hospital. The results of the study indicated that several factors showed a statistically significant association with TRD criteria. These factors included younger age of MDD patients, a younger age of onset of MDD, lower body mass index (BMI), a history of suicide attempts and self-harm, as well as frequent smoking behavior. The annualized economic cost of TRD was 276,059.97 baht per person ($7,668.33), which was significantly higher than that of cost of non-TRD (173,487.04 baht or $4,819.08). The aggregated economic costs of MDD were 96.8 million baht annually ($2.69 M) if calculated from 500 MDD patients and unpaid caregivers. This contributed to the economic cost of TRD 27.05 million baht (98 respondents) and the economic cost of non-TRD 69.74 million baht (402 respondents).

CONCLUSIONS

The economic burden associated with TRD was significantly higher compared to non-TRD among antidepressant-treated MDD patients. Specifically, both direct medical costs and indirect costs were notably elevated in the TRD group.

Cost-Utility of Liraglutide Plus Standard of Care Versus Standard of Care in People with Type 2 Diabetes and Cardiovascular Risk in Thailand

INTRODUCTION

Liraglutide has demonstrated a significant reduction in the primary major composite cardiovascular (CV) outcome (CV death, non-fatal myocardial infarction, non-fatal stroke). This study aimed to determine the cost-utility of adding liraglutide to the standard of care (SoC) for treating type 2 diabetes (T2D) in Thailand for three cohorts: people with atherosclerotic cardiovascular disease (ASCVD), with no ASCVD, and all people with T2D.

METHODS

A Markov model was developed to capture the long-term costs and outcomes under the perspective of the healthcare system. Costs were based on local data, the transitional probabilities were derived from the LEADER trial, and utilities were derived from published studies. Future costs and outcomes were discounted at 3% annually. A series of sensitivity analyses were performed.

RESULTS

Compared to SoC, adding liraglutide incurred higher costs and gained more quality-adjusted life-years (QALYs), yielding incremental cost-effectiveness ratios (ICERs) of above 1 million Thai baht (THB) for the three cohorts. The most influential parameter was the discount rate. When the annual cost of liraglutide reduced from 87,874 to 30,340 THB, 30,116 THB, and 31,617 THB for all people with T2D, people with ASCVD, and people without ASCVD, respectively, the ICER fell below the local threshold of 160,000 THB/QALY. Compared to the SoC treatment, the liraglutide group acquired more clinical benefit in terms of fewer CVD. Sensitivity analyses revealed that with an increase in the level of willingness-to-pay (WTP) threshold, adding liraglutide had an increased chance of being a cost-effective strategy.

CONCLUSION

Compared to the SoC treatment, adding liraglutide at the current cost is not cost-effective at the local WTP. People with T2D with ASCVD would have the most potential gain from adding liraglutide treatment compared to other populations.