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Liang D, Zhu W, Huang J, Dong Y. A health economic analysis of an integrated diabetes care program in China: based on real-world evidence. Front Public Health 2023; 11:1211671. [PMID: 38169641 PMCID: PMC10758444 DOI: 10.3389/fpubh.2023.1211671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 11/20/2023] [Indexed: 01/05/2024] Open
Abstract
Introduction An integrated care program was set up in China to improve the collaboration between primary healthcare centers and hospitals on diabetes management. This study aims to evaluate the economic value of this program with real-world data and to examine whether it can be promoted in primary healthcare settings in China. Methods This integrated diabetes care program was implemented in Yuhuan City, China, to coordinate primary care and specialty care, treatment and prevention services, as well as the responsibilities of doctors and nurses. Cost-effectiveness analysis was used to compare the short-term economic value of this program (intervention group) versus usual diabetes management (control group). The cost data were collected from a societal perspective, while the effectiveness indicators pointed to the improvement of control rates of fasting blood glucose (FBG), systolic blood pressure (SBP), and diastolic blood pressure (DBP) levels after the 1 year intervention. In addition, cost-utility analysis was applied to evaluate the long-term value of the two groups. Patients' long-term diabetes management costs and quality-adjusted life years (QALYs) were simulated by the United Kingdom Prospective Diabetes Study Outcomes Model 2. Results The results showed that for 1% FBG, SPB, and DBP control rate improvement, the costs for the intervention group were 290.53, 124.39, and 249.15 Chinese Yuan (CNY), respectively, while the corresponding costs for the control group were 655.19, 610.43, and 1460.25 CNY. Thus, the intervention group's cost-effectiveness ratios were lower than those of the control group. In addition, compared to the control group, the intervention group's incremental costs per QALY improvement were 102.67 thousand CNY, which means that the intervention was cost-effective according to the World Health Organization's standards. Discussion In conclusion, this study suggested that this integrated diabetes care program created short-term and long-term economic values through patient self-management support, primary care strengthening, and care coordination. As this program followed the principles of integrated care reform, it can be promoted in China. Also, its elements can provide valuable experience for other researchers to build customized integrated care models.
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Affiliation(s)
- Di Liang
- School of Public Health, Fudan University, Shanghai, China
- Key Lab of Health Technology Assessment, National Health Commission, Shanghai, China
| | - Wenjun Zhu
- School of Public Health, Fudan University, Shanghai, China
- Key Lab of Health Technology Assessment, National Health Commission, Shanghai, China
| | - Jiayan Huang
- School of Public Health, Fudan University, Shanghai, China
- Key Lab of Health Technology Assessment, National Health Commission, Shanghai, China
| | - Yin Dong
- The People’s Hospital of Yuhuan, Taizhou, China
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Quan J, Zhao Z, Wang L, Ng CS, Kwok HH, Zhang M, Zhou S, Ye J, Ong XJ, Ma R, Leung GM, Eggleston K, Zhou M. Potential health and economic impact associated with achieving risk factor control in Chinese adults with diabetes: a microsimulation modelling study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 33:100690. [PMID: 37181534 PMCID: PMC10166995 DOI: 10.1016/j.lanwpc.2023.100690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/30/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023]
Abstract
Background The prevalence of diabetes has risen sharply in China. Improving modifiable risk factors such as glycaemia and blood pressure could substantially reduce disease burden and treatment costs to achieve a healthier China by 2030. Methods We used a nationally representative population-based survey of adults with diabetes in 31 provinces in mainland China to assess the prevalence of risk factor control. We adopted a microsimulation approach to estimate the impact of improved control of blood pressure and glycaemia on mortality, quality-adjusted life-years (QALYs), and healthcare cost. We applied the validated CHIME diabetes outcomes model over a 10-year time horizon. Baseline scenario of status quo was evaluated against alternative strategies based on World Health Organization and Chinese Diabetes Society guidelines. Findings Among 24,319 survey participants with diabetes (age 30-70), 69.1% (95% CI: 67.7-70.5) achieved optimal diabetes control (HbA1c <7% [53 mmol/mol]), 27.7% [26.1-29.3] achieved blood pressure control (<130/80 mmHg) and 20.1% (18.6-21.6) achieved both targets. Achieving 70% control rate for people with diabetes could reduce deaths before age 70 by 7.1% (5.7-8.7), reduce medical costs by 14.9% (12.3-18.0), and gain 50.4 QALYs (44.8-56.0) per 1000 people over 10 years compared to the baseline status quo. The largest health gains were for strategies including strict blood pressure control of 130/80 mmHg, particularly in rural areas. Interpretation Based on a nationally representative survey, few adults with diabetes in China achieved optimal control of glycaemia and blood pressure. Substantial health gains and economic savings are potentially achievable with better risk factor control especially in rural settings. Funding Chinese Central Government, Research Grants Council of the Hong Kong Special Administrative Region, China [27112518].
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Affiliation(s)
- Jianchao Quan
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Zhenping Zhao
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Xicheng District, 100050, Beijing, China
| | - Limin Wang
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Xicheng District, 100050, Beijing, China
| | - Carmen S. Ng
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Harley H.Y. Kwok
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Mei Zhang
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Xicheng District, 100050, Beijing, China
| | - Sunyue Zhou
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Jiaxi Ye
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xin Jiong Ong
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Robyn Ma
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Gabriel M. Leung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong SAR, China
| | - Karen Eggleston
- Stanford University, Stanford, CA, USA
- National Bureau of Economic Research, Cambridge, MA, USA
| | - Maigeng Zhou
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Xicheng District, 100050, Beijing, China
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Tan J, Zhang Z, He Y, Yu Y, Zheng J, Liu Y, Gong J, Li J, Wu X, Zhang S, Lin X, Zhao Y, Wu X, Tang S, Chen J, Zhao W. A novel model for predicting prolonged stay of patients with type-2 diabetes mellitus: a 13-year (2010-2022) multicenter retrospective case-control study. J Transl Med 2023; 21:91. [PMID: 36750951 PMCID: PMC9903472 DOI: 10.1186/s12967-023-03959-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 02/01/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Length of stay (LOS) is an important metric for evaluating the management of inpatients. This study aimed to explore the factors impacting the LOS of inpatients with type-2 diabetes mellitus (T2DM) and develop a predictive model for the early identification of inpatients with prolonged LOS. METHODS A 13-year multicenter retrospective study was conducted on 83,776 patients with T2DM to develop and validate a clinical predictive tool for prolonged LOS. Least absolute shrinkage and selection operator regression model and multivariable logistic regression analysis were adopted to build the risk model for prolonged LOS, and a nomogram was taken to visualize the model. Furthermore, receiver operating characteristic curves, calibration curves, and decision curve analysis and clinical impact curves were used to respectively validate the discrimination, calibration, and clinical applicability of the model. RESULTS The result showed that age, cerebral infarction, antihypertensive drug use, antiplatelet and anticoagulant use, past surgical history, past medical history, smoking, drinking, and neutrophil percentage-to-albumin ratio were closely related to the prolonged LOS. Area under the curve values of the nomogram in the training, internal validation, external validation set 1, and external validation set 2 were 0.803 (95% CI [confidence interval] 0.799-0.808), 0.794 (95% CI 0.788-0.800), 0.754 (95% CI 0.739-0.770), and 0.743 (95% CI 0.722-0.763), respectively. The calibration curves indicated that the nomogram had a strong calibration. Besides, decision curve analysis, and clinical impact curves exhibited that the nomogram had favorable clinical practical value. Besides, an online interface ( https://cytjt007.shinyapps.io/prolonged_los/ ) was developed to provide convenient access for users. CONCLUSION In sum, the proposed model could predict the possible prolonged LOS of inpatients with T2DM and help the clinicians to improve efficiency in bed management.
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Affiliation(s)
- Juntao Tan
- Operation Management Office, Affiliated Banan Hospital of Chongqing Medical University, Chongqing, 401320, China
| | - Zhengyu Zhang
- Medical Records Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China
| | - Yuxin He
- Department of Medical Administration, Affiliated Banan Hospital of Chongqing Medical University, Chongqing, 401320, China
| | - Yue Yu
- Senior Bioinformatician Department of Quantitative Health Sciences Mayo Clinic, Rochester, MN, 55905, USA
| | - Jing Zheng
- Operation Management Office, Affiliated Banan Hospital of Chongqing Medical University, Chongqing, 401320, China
| | - Yunyu Liu
- Medical Records Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Jun Gong
- Department of Information Center, The University Town Hospital of Chongqing Medical University, Chongqing, 401331, China
| | - Jianjun Li
- Department of Cardiothoracic Surgery, Affiliated Banan Hospital of Chongqing Medical University, Chongqing, 401320, China
| | - Xin Wu
- Department of Gastrointestinal Surgery, The Third People's Hospital of Chongqing, Chongqing Medical University, Chongqing, 400038, China
| | - Shengying Zhang
- Department of Respiratory, Yinzhou Second Hospital, Ningbo, 315153, Zhejiang, China
| | - Xiantian Lin
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang, China
| | - Yuxi Zhao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang, China
| | - Xiaoxin Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang, China.
| | - Songjia Tang
- Plastic and Aesthetic Surgery Department, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
| | - Jingjing Chen
- Department of Digital Urban Governance, Zhejiang University City College, Hangzhou, 310015, Zhejiang, China.
| | - Wenlong Zhao
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
- Medical Data Science Academy, Chongqing Medical University, Chongqing, 400016, China.
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Sheu WH, Seino Y, Tan EC, Yabe D, Ha KH, Nangaku M, Chung W, Node K, Yasui A, Lei W, Lee S, Ustyugova A, Klement R, Deruaz‐Luyet A, Kyaw MH, Kim DJ. Healthcare resource utilization in patients treated with empagliflozin in East Asia. J Diabetes Investig 2022; 13:810-821. [PMID: 34859609 PMCID: PMC9077718 DOI: 10.1111/jdi.13728] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/29/2021] [Accepted: 11/30/2021] [Indexed: 11/30/2022] Open
Abstract
AIMS/INTRODUCTION We investigated the utilization of healthcare resources in patients with type 2 diabetes treated with empagliflozin, a sodium-glucose co-transporter-2 (SGLT2) inhibitor, versus dipeptidyl peptidase-4 (DPP-4) inhibitors in clinical practice in Japan, South Korea, and Taiwan. MATERIALS AND METHODS We analyzed the Japanese Medical Data Vision database (December 2014-April 2018), the South Korean National Health Information Database, and the Taiwanese National Health Insurance claims database (both May 2016-December 2017). Patients with type 2 diabetes starting empagliflozin, 10 or 25 mg, or a DPP-4 inhibitor were matched 1:1 via propensity scores (PS). We compared inpatient care needs, emergency room (ER) visits, and outpatient visits between the treatment groups using Poisson regression and Cox proportional hazards models, pooled across countries by random-effects meta-analysis. RESULTS We identified 28,712 pairs of PS-matched patients; the mean follow-up was 5.7-6.8 months. Empagliflozin-treated patients had a 27% lower risk of all-cause hospitalization compared with DPP-4 inhibitor-treated patients (rate ratio [RR] 0.73, 95% CI 0.67-0.79), and 23% reduced risk for first hospitalization (hazard ratio 0.77, 95% CI 0.73-0.81). The risk for an ER visit was 12% lower with empagliflozin than with DPP-4 inhibitors (RR 0.88, 95% CI 0.83-0.94) while the risk for outpatient visit was 4% lower (RR 0.96, 95% CI 0.96-0.97). These findings were generally consistent across countries, regardless of baseline cardiovascular disease, and in the subgroup starting empagliflozin with the 10 mg dose. CONCLUSIONS Empagliflozin treatment was associated with lower inpatient care needs and other healthcare resource utilization than DPP-4 inhibitors in routine clinical practice in East Asia in this study.
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Affiliation(s)
- Wayne H‐H Sheu
- Division of Endocrinology and MetabolismTaipei Veterans General HospitalTaipeiTaiwan
| | - Yutaka Seino
- Kansai Electric Power Medical Research InstituteKobeJapan
- Kansai Electric Power HospitalOsakaJapan
| | - Elise Chia‐Hui Tan
- National Research Institute of Chinese MedicineMinistry of Health and WelfareTaipeiTaiwan
- Institute of Hospital and Healthcare AdministrationNational Yang‐Ming UniversityTaipeiTaiwan
| | - Daisuke Yabe
- Kansai Electric Power Medical Research InstituteKobeJapan
- Department of Diabetes, Endocrinology and Metabolism, and Department of Rheumatology and Clinical ImmunologyGifu University Graduate School of MedicineGifuJapan
- Division of Metabolism and Molecular MedicineKobe University Graduate School of MedicineKobeJapan
| | - Kyoung Hwa Ha
- Department of Endocrinology and MetabolismAjou University School of MedicineSuwonKorea
| | - Masaomi Nangaku
- Division of Nephrology and EndocrinologyThe University of TokyoTokyoJapan
| | - Wook‐Jin Chung
- Department of Cardiovascular MedicineGachon University Gil Medical CenterIncheonKorea
| | - Koichi Node
- Department of Cardiovascular MedicineSaga UniversitySagaJapan
| | | | - Wei‐Yu Lei
- Boehringer Ingelheim Taiwan LtdTaipeiTaiwan
| | - Sunwoo Lee
- Boehringer Ingelheim Korea LtdSeoulKorea
| | | | | | | | - Moe H Kyaw
- Boehringer Ingelheim Pharmaceuticals IncRidgefieldConnecticutUSA
| | - Dae Jung Kim
- Department of Endocrinology and MetabolismAjou University School of MedicineSuwonKorea
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Guo Q, Lu Y, Huang Y, Guo Y, Zhu S, Zhang Q, Zhu D, Wang Z, Luo J. Exosomes from β-Cells Promote Differentiation of Induced Pluripotent Stem Cells into Insulin-Producing Cells Through microRNA-Dependent Mechanisms. Diabetes Metab Syndr Obes 2021; 14:4767-4782. [PMID: 34934332 PMCID: PMC8678630 DOI: 10.2147/dmso.s342647] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/01/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Exosomes have emerged as potential tools for the differentiation of induced pluripotent stem cells (iPSCs) into insulin-producing cells (IPCs). Exosomal microRNAs are receiving increasing attention in this process. Here, we aimed at investigating the role of exosomes derived from a murine pancreatic β-cell line and identifying signature exosomal miRNAs on iPSCs differentiation. METHODS Exosomes were isolated from MIN6 cells and identified with TEM, NTA and Western blot. PKH67 tracer and transwell assay were used to confirm exosome delivery into iPSCs. qRT-PCR was applied to detect key pancreatic transcription gene expression and exosome-derived miRNA expression. Insulin secretion was determined using FCM and immunofluorescence. The specific exosomal miRNAs were determined via RNA-interference of Ago2. The therapeutic effect of 21 day-exosome-induced IPCs was validated in T1D mice induced by STZ. RESULTS iPSCs cultured in medium containing exosomes showed sustained higher expression of MAFA, Insulin1, Insulin2, Isl1, Neuroud1, Nkx6.1 and NGN3 compared to control iPSCs. In FCM analysis, approximately 52.7% of the differentiated cells displayed insulin expression at the middle stage. Consistent with the gene expression data, immunofluorescence assays showed that Nkx6.1 and insulin expression in iPSCs were significantly upregulated. Intriguingly, the expression of pancreatic markers and insulin was significantly decreased in iPSCs cultured with siAgo2 exosomes. Transplantation of 21 day-induced IPCs intoT1D mice efficiently enhanced glucose tolerance and partially controlled hyperglycemia. The therapeutic effect was significantly attenuated in T1D mice that received iPSCs cultured with siAgo2 exosomes. Of the seven exosomal microRNAs selected for validation, miR-706, miR-709, miR-466c-5p, and miR-423-5p showed dynamic expression during 21 days in culture. CONCLUSION These data indicate that differentiation of exosome-induced iPSCs into functional cells is crucially dependent on the specific miRNAs encased within exosomes, whose functional analysis is likely to provide insight into novel regulatory mechanisms governing iPSCs differentiation into IPCs.
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Affiliation(s)
- Qingsong Guo
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
| | - Yuhua Lu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
| | - Yan Huang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
| | - Yibing Guo
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
| | - Shajun Zhu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
| | - Qiuqiang Zhang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
| | - Donghui Zhu
- Nantong University Medical School, Nantong, 226001, People’s Republic of China
| | - Zhiwei Wang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
- Zhiwei Wang Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Xi Si Road, Nantong, 226001, People’s Republic of China Email
| | - Jia Luo
- Department of Pharmacy, Affiliated Hospital of Nantong University, Nantong, 226001, People’s Republic of China
- Correspondence: Jia Luo Department of Pharmacy, Affiliated Hospital of Nantong University, Xi Si Road, Nantong, 226001, People’s Republic of China Email
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