Next Article in Journal
Cognitive Decline and Its Associated Factors in Patients with Major Depressive Disorder
Next Article in Special Issue
Value-Based Integrated Care (VBIC) Concept Implementation in a Real-World Setting—Problem-Based Analysis of Barriers and Challenges
Previous Article in Journal
Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic
Previous Article in Special Issue
Association between Compliance with COVID-19 Restrictions and the Risk of SARS-CoV-2 Infection in Poland
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Economic Burdens of Type 2 Diabetes Hospital Visits with Hypoglycemic Episodes in the Tertiary Care Setting in Thailand

by
Natapong Kosachunhanun
1,
Danil Wongsa
1 and
Unchalee Permsuwan
2,3,*
1
Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
2
Center for Medical and Health Technology Assessment (CM-HTA), Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand
3
Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(7), 949; https://doi.org/10.3390/healthcare11070949
Submission received: 9 February 2023 / Revised: 4 March 2023 / Accepted: 20 March 2023 / Published: 24 March 2023

Abstract

:
This study aimed to estimate the economic burden of hypoglycemia among people with type 2 diabetes (T2D) treated in a tertiary care setting. An electronic database of the largest university-affiliated hospital in northern Thailand was retrieved from 2015 to 2020 using the International Classification of Diseases 10th Revision (ICD-10) code E10.xx–E14.xx, or for patients receiving diabetes treatment at least twice for a 6-month period. All records were screened for hypoglycemia using an ICD-10 code E16.0–E16.2 or for having blood glucose <70 mg/dL. All costs related to outpatient visits or inpatient admissions were recorded. During the study period, T2D visits totaled 861,969. The annual incidence rate of hypoglycemia was 2.3 per 1000 visits, while the admission rate was 3.9 per 10,000 visits. The mean length of stay was 4.5 ± 10.1 days. The costs of hypoglycemia were USD 831.1 per admission and USD 182.2 per outpatient visit. The important cost driver for outpatients was drugs (USD 137.1), while for inpatients, this constituted services (USD 299.9). Hypoglycemia poses a substantial financial burden and increases the use of healthcare resources. Selecting the most cost-effective treatments with clinical evidence of the lower risk of hypoglycemia, especially newer insulin preparations, will provide the greatest likelihood of improving clinical outcomes and reducing the economic burden.

1. Introduction

An estimated 10.5% of the global population aged 20 to 79 years old are currently coping with diabetes [1]. The prevalence of diabetes among Thais aged over 20 years old is 9.9% (10.8% among women and 8.9% among men) [1]. Without proper treatment, the disease will progress to diabetes-related complications, affecting the quality of life and the economic burdens of patients and society. Moreover, hypoglycemia was found in 10.5% of elderly people with type 2 diabetes in the previous 12 months from a retrospective medical chart review study conducted in a tertiary diabetes center in Thailand [2]. Hypoglycemia related to diabetic management (blood sugar level below 70 mg/dL) is a fact of life among people with diabetes, which causes physical and psychological morbidity. Moreover, a 2-fold increase in the risk of cardiovascular morbidity was observed amongst patients with type 2 diabetes and severe hypoglycemia [3,4]. Additionally, hypoglycemia can create a major barrier to achieving better glycemic control by therapeutic inertia due to patients’ and physicians’ fears of hypoglycemia [5]. Hypoglycemic events may negatively impact health-related quality of life and life expectancy and use more healthcare resources than those without hypoglycemic events [6,7]. A US costing study determined the total financial burden of hypoglycemia to be USD 1.84 billion in 2009 [8]. In Canada, an average cost of USD 7000 for a 7-day admission was due to hypoglycemia [9], while in Scotland, the daily cost was USD 303 per person [10]. In Asia, a Korean study in secondary and tertiary hospitals estimated that medical costs for a hypoglycemic event ranged from USD 17.28 to 1857, respectively [11]. In Malaysia, the length of a hospital stay for severe hypoglycemia was 2 to 26 days, with a cost of USD 2289 [12]. A recent study in Taiwan showed that a hypoglycemic event among people with type 2 diabetes revealed an additional USD 1353 on average annual direct healthcare costs with an additional 5.9 days of hospitalization, compared with people with type 2 diabetes without a hypoglycemic event [13]. Existing studies reported the cost of severe hypoglycemia in Thailand to be around THB 10,574 to 28,494 per event [14,15,16] or about 288.91 to 778.52 USD (with an exchange rate of THB/USD 36.6). These costs might be outdated, since there have been changes in antidiabetic drugs over the years. In addition, the costs from previous studies have not focused on longitudinal follow-up diabetes treatment. The updated cost data of hypoglycemic events are needed. Therefore, this study was conducted to fill the gap by estimating the healthcare resources and the economic burden of hypoglycemia treatment among people with type 2 diabetes visiting a tertiary medical care setting in Thailand.

2. Materials and Methods

2.1. Study Design and Population

The study was approved by the Institutional Review Board of the Faculty of Medicine of Chiang Mai University (MED-2564-08015), and patient consent to review their medical records was not required owing to the database study. The electronic database from Maharaj Nakorn Chiang Mai Hospital, which is the largest university-affiliated tertiary care hospital in northern Thailand, was retrieved for 6 years. Patient records were retrieved using the International Classification of Diseases 10th Revision (ICD-10) code E10.xx–E14.xx for patients receiving diabetes treatment at least twice for a 6-month period. Then, we screened all patient records that indicated severe hypoglycemic events using the ICD-10 code E16.0–E16.2 as either a primary or secondary diagnosis or that had a laboratory result with blood glucose <70 milligrams per deciliter (mg/dL) or 3.9 millimoles per liter (mmol/L). The patient records were finally separated as outpatient visits and admissions to the hospital, as shown in Figure 1. Once patients with type 2 diabetes records had been selected, we retrieved the database of healthcare resources in terms of the number of outpatient visits, the number of hospital admissions, the length of stay (LOS) and the costs of hypoglycemic events from outpatient visits and inpatient admissions.
This study was approved by the research ethics committee, Faculty of Medicine, Chiang Mai University, Thailand (study code: MED-2564-08015).

2.2. Data Analysis

Healthcare resource use and costs were calculated from the perspective of the healthcare provider. Hence, the analyses accounted for only direct medical costs, which were composed of drugs, laboratory tests, chest X-rays, surgeries and operations, services, instruments and food and room. All costs and healthcare resource-use items were assessed for all the included patient visits from 2015 to 2020, investigating total costs and average costs ± the standard deviation (SD). In addition, the costs of hypoglycemic events were disaggregated into individual cost items such as medications, laboratory tests, chest X-rays, surgeries or operations, instruments and food and room services. A multivariate generalized linear model (GLM) with a gamma distribution and a log link was used due to the skewness of our cost data. All costs were inflated using the consumer price index in the medical care category of 2021 and reported in Thai baht (THB) and US dollars (USD). All costs were converted to USD at the rate of THB/USD 36.6 as of 14 September 2022 [17].

3. Results

Over a 6-year period, there were 861,969 diabetic patient visits. Of those, 1956 visits were associated with hypoglycemic events with blood glucose levels <70 mg/dL. This resulted in an annual incidence rate of hypoglycemic visits amounting to 2.3 per 1000 visits (Table 1). Of those, 1623 visits comprised 893 patients attending the emergency department or receiving outpatient services without hospital admissions, while 333 visits were from 254 unique patients attending the emergency department or receiving outpatient services and were eventually admitted to the hospital owing to severe hypoglycemia. The average age ± standard deviation (SD) for those admitted to the hospital was 66.2 ± 13.8 years. Of all the 254 admitted patients, 53.9% were female. The trend of hospital admissions from severe hypoglycemic events increased from 13.5 to 32.4% from 2015 to 2020. This yielded a total of 17% admissions, and the hospital admission rate was 3.9 per 10,000 visits yearly (Table 1). The mean LOS ± SD was 4.5 ± 10.1 days, while the median LOS was 2 days with an interquartile range of 1 to 4 days.
Of all 333 hospital admissions, the majority of patients received medication reconciliation with previously prescribed antidiabetic treatment. Patients mostly received two anti-diabetic drugs (39.0%), followed by one antidiabetic drug (36.9%). Insulin accounted for 61.3%, followed by biguanides (38.1%) and sulfonylureas (35.7%). Among insulin users, 194 (58.3%) used only one insulin preparation, while the remaining 10 (3.0%) used two insulin preparations. The major insulin preparation was premixed insulin (52.3%). All details are shown in Table 2.
The total cost of all outpatient visits with hypoglycemic episodes ranged from THB 1.3 to 3.0 million (USD 36,374 to 82,975). The total cost was disaggregated into the cost of drugs, laboratory work, chest X-rays and others. Drugs contributed the highest proportion to the total cost, followed by laboratory costs. The average cost for the 6-year period was THB 2,174,224 (USD 59,405). For inpatient admissions, the total cost ranged from THB 0.7 to 3.2 million (USD 18,069 to 88,949). Of all the annual costs, the top three cost items were inpatient services, laboratory work and drugs. The average cost for the 6-year period was THB 1,688,216 (USD 46,126). All details are shown in Table 3.
The mean cost per outpatient visit ranged from USD 129.5 to USD 206.6 over 6 years, with an average cost ± SD of USD 182.2 ± 464.6 per outpatient visit (Figure 2). The mean cost per admission ranged from USD 516.3 to USD 1286.9 for the 6-year period. The average cost ± SD was USD 831.1 ± 3038.9 per admission (Figure 3). All details of the average cost ± SD in each cost item are shown in Table 4.
According to a multivariable GLM, the length of stay had a significant impact on the total cost of inpatient visits. It was found that 1 additional day of hospitalization incurred an additional cost of THB 1945 (USD 53.1), as shown in Table 5.

4. Discussion

Hypoglycemia is often one of the safety outcomes of diabetes therapy. The high frequency of hypoglycemic events that occur results in a poor quality of life and a substantial personal and societal economic burden [6,7]. Thus, its costs are usually considered in the economic evaluation and budget impact analysis of antidiabetic drugs for type 2 diabetes treatment. This study aimed to estimate the healthcare resources and the financial burden of hospital visits from hypoglycemic episodes among people with type 2 diabetes from both outpatient and inpatient settings. The incidence rate of hypoglycemia in this study was 2.3 per 1000 visits yearly; the admission rate was 3.9 per 10,000 visits yearly, with two-thirds of patients using insulin and almost exclusively using premixed insulin preparations. Our findings might be slightly higher than those of other observational studies reporting hospitalizations or emergency department visits for hypoglycemia of 0.2 (patients treated without insulin or sulfonylurea) to 2.0 (insulin or sulfonylurea users) per 100 person-years [18]. However, a randomized controlled trial reported various rates of severe hypoglycemia ranging from 0.7 to 12 per 100 person-years [18]. Comparing the reported rates of hypoglycemia can be difficult because a marked heterogeneity exists regarding how hypoglycemia is defined, measured and reported in each study.
Although the costs of diabetes care have been estimated in several studies in Thailand, estimating diabetes care costs varies depending on hospital care levels, the presence of diabetes complications and so on. This study reported both the costs of inpatient admission and outpatient costs, which several cost-effectiveness studies in Thailand ignored [16,19]. This might be owing to a limitation of available published data on outpatient costs for people with type 2 diabetes and hypoglycemia. This study ensured that outpatient visits were related to hypoglycemia through the laboratory results on the dates patients visited the hospital. We found that the number of visits with blood glucose <70 mg/dL totaled 1956 during the 6-year period or about 326 visits yearly. Of all such visits, 1623 (83%) comprised outpatient or emergency visits only. This incurred the average outpatient cost of THB 6669 per visit (USD 182.2). Drug costs contributed about 72% of the average total cost.
For hospital admissions due to hypoglycemia, the average LOS ± SD was 4.5 ± 10.1 days in this study, which was close to the LOS of 4.3 days for patients with type 2 diabetes in Malaysia [20]. However, our findings indicated shorter lengths of admission compared with those in India (8 to 10 days), China (8.9 to 15.4 days) and another tertiary-care medical school hospital in Bangkok (8.5 days) [20]. This might be due to the higher percentage of patients with type 2 diabetes with any complications admitted in the study by Goldhaber-Fiebert JD et al. [20]. Another study using a nested case–control design in Taiwan concluded that cases or patients with hypoglycemic events experienced a substantially higher economic burden than the matched cohort or patients without hypoglycemic events [13]. Patients with type 2 diabetes and a hypoglycemic event incurred an additional USD 1353 on average in annual direct healthcare costs and an additional 5.9 days in hospital compared with the matched cohort [13]. In this study, it was found that 1 additional day of hospitalization incurred an extra THB 1945 (USD 53.1). The treatment costs of a hypoglycemic event incurred in Thailand might be lower than the costs incurred in Taiwan. This might be due to the differences in healthcare systems, reimbursement policies, the acquisition of drug costs and so on.
As expected, the total cost of diabetes treatment was substantially higher for hospital admissions than outpatient visits. In this study, the average total cost of hospital admissions was about 4.6 times greater than that of outpatient visits (THB 30,418 vs. THB 6669 or USD 831.1 vs. USD 182.2). The outpatient and inpatient costs incurred in this study accounted for only direct medical costs. Drug costs were the most influential contributors to outpatient costs and were the second-highest contributors to inpatient costs. Our findings show that the cost of inpatient admissions at the tertiary-care level was much higher than the inpatient costs reported (USD 199.75 in 2008) from a district hospital located in northeast Thailand. One explanation is the healthcare system in Thailand. Patients with diabetes and controlled blood glucose levels usually receive routine monitoring check-ups at a primary care unit close to their homes. Once their clinical symptoms worsen, they are referred to higher healthcare levels, where human resources and healthcare facilities are more advanced.
With the study design of retrospective database analyses, several limitations were encountered. Firstly, we did not collect direct nonmedical costs or indirect costs as a result of visiting the hospital or for having the disease itself. Based on a related diabetes cost study [21], direct nonmedical costs and indirect costs contributed 40 and 37% of the total costs of diabetes treatment, respectively. A complete picture of the economic burden of diabetes should consider the social perspective, including all direct medical costs, direct nonmedical costs and indirect costs. Because this study focused mainly on the healthcare system’s perspective, only direct medical costs were included. Secondly, the time horizon in this study was over a 6-year period, so changes in the treatment guidelines may have occurred, such as using minimized hypoglycemia as the management need for treatment choice [22]. The drug cost contribution for outpatient visits indicated an upward trend from 53 to 84% during the 6-year period. This may be attributable to the selection of newer drug generations with a lower risk of hypoglycemia, albeit higher costs, including dipeptidyl peptidase-4 inhibitors, sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 agonists.
Although this study possessed these limitations, its findings could be used as important inputs for further studies, such as in the economic evaluation or budget impact analysis of antidiabetic drugs or for other health technologies related to hypoglycemia. This is because it reflects the real-world treatment costs of hypoglycemia among people with diabetes as opposed to protocol-driven costs based on restrictive patient inclusion/exclusion criteria, which are often used in randomized controlled trials. Another issue is related to the generalizability of the findings of this study. Due to the different treatment contexts of type 2 diabetes among different countries, the financial burden associated with hypoglycemic episodes could vary.

5. Conclusions

Hypoglycemic hospital visits pose a substantial financial burden and increase the use of healthcare resources in type 2 diabetes treatment. Selecting the most cost-effective treatments with clinical evidence of lower hypoglycemia risk, especially newer insulin preparations, will have the greatest likelihood of improving clinical outcomes and reducing the economic burden.

Author Contributions

Conceptualization and methodology, N.K. and U.P.; data analysis, U.P.; data collection, D.W. All authors have read and agreed to the published version of the manuscript.

Funding

This study was an investigator-initiated study, funded by a grant from Sanofi-Aventis (Thailand) Ltd. The sponsor played no role in designing the study, collecting and analyzing data, or composing the manuscript. The study number is PC-2019-12615.

Institutional Review Board Statement

This study was approved by the research ethics committee, Faculty of Medicine, Chiang Mai University, Thailand (study code: MED-2564-08015).

Informed Consent Statement

Patient consent was waived because this study is a secondary analysis of an existing database and does not disclose any personal information.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank Jirawit Yadee, Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Thailand, for assisting with the data analyses.

Conflicts of Interest

The authors declare no potential conflict of interest with respect to the research, authorship and publication of this article.

References

  1. International Diabetes Federation. IDF Diabetes Atlas; International Diabetes Federation: Brussels, Belgium, 2021. [Google Scholar]
  2. Yotsapon, T.; Sirinate, K.; Ekgaluck, W.; Somboon, V.; Tawee, A.; Worawit, K.; Soontaree, N.; Thep, H. Clinical characteristics and outcomes of the oldest old people with type 2 diabetes—Perspective from a tertiary diabetes center in Thailand. BMC Endocr. Disord. 2016, 16, 30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Hypoglycemia in diabetes: An update on pathophysiology, treatment, and prevention. World J. Diabetes 2021, 12, 2036–2049. [CrossRef] [PubMed]
  4. Aekplakorn, W.; Chariyalertsak, S.; Kessomboon, P.; Assanangkornchai, S.; Taneepanichskul, S.; Putwatana, P. Prevalence of Diabetes and Relationship with Socioeconomic Status in the Thai Population: National Health Examination Survey, 2004–2014. J. Diabetes Res. 2018, 2018, 1654530. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Okemah, J.; Peng, J.; Quiñones, M. Addressing Clinical Inertia in Type 2 Diabetes Mellitus: A Review. Adv. Ther. 2018, 35, 1735–1745. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Harris, S.; Mamdani, M.; Galbo-Jørgensen, C.B.; Bøgelund, M.; Gundgaard, J.; Groleau, D. The Effect of Hypoglycemia on Health-Related Quality of Life: Canadian Results from a Multinational Time Trade-off Survey. Can. J. Diabetes 2014, 38, 45–52. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Williams, S.A.; Shi, L.; Brenneman, S.K.; Johnson, J.C.; Wegner, J.C.; Fonseca, V. The burden of hypoglycemia on healthcare utilization, costs, and quality of life among type 2 diabetes mellitus patients. J. Diabetes Complicat. 2012, 26, 399–406. [Google Scholar] [CrossRef] [PubMed]
  8. Zhao, Y.; Shi, Q.; Wang, Y.; Fonseca, V.; Shi, L. Economic burden of hypoglycemia: Utilization of emergency department and outpatient services in the United States (2005–2009). J. Med. Econ. 2016, 19, 852–857. [Google Scholar] [CrossRef] [PubMed]
  9. Moisan, J.; Breton, M.-C.; Villeneuve, J.; Grégoire, J.-P. Hypoglycemia-Related Emergency Department Visits and Hypoglycemia-Related Hospitalizations among New Users of Antidiabetes Treatments. Can. J. Diabetes 2013, 37, 143–149. [Google Scholar] [CrossRef] [PubMed]
  10. Amiel, S.A.; Dixon, T.; Mann, R.; Jameson, K. Hypoglycaemia in Type 2 diabetes. Diabet. Med. 2008, 25, 245–254. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Kim, G.; Lee, Y.-H.; Han, M.H.; Lee, E.-K.; Kim, C.H.; Kwon, H.S.; Jeong, I.K.; Kang, E.S.; Kim, D.J. Economic Burden of Hypoglycemia in Patients with Type 2 Diabetes Mellitus from Korea. PLoS ONE 2016, 11, e0151282. [Google Scholar] [CrossRef] [PubMed]
  12. Aljunid, S.M.; Aung, Y.N.; Ismail, A.; Rashid, S.A.Z.A.; Nur, A.M.; Cheah, J.; Matzen, P. Economic burden of hypoglycemia for type II diabetes mellitus patients in Malaysia. PLoS ONE 2019, 14, e0211248. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Strizek, A.; Chang, C.-J.; Furnback, W.; Wang, B.; Lebrec, J.; Lew, T. The Cost of Hypoglycemia Associated With Type 2 Diabetes Mellitus in Taiwan. Value Health Reg. Issues 2019, 18, 84–90. [Google Scholar] [CrossRef] [PubMed]
  14. Riewpaiboon, A.; Pornlertwadee, P.; Pongsawat, K. Diabetes Cost Model of a Hospital in Thailand. Value Health 2007, 10, 223–230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Riewpaiboon, A.; Chatterjee, S.; Piyauthakit, P. Cost analysis for efficient management: Diabetes treatment at a public district hospital in Thailand. Int. J. Pharm. Pr. 2011, 19, 342–349. [Google Scholar] [CrossRef] [PubMed]
  16. Permsuwan, U.; Chaiyakunapruk, N.; Dilokthornsakul, P.; Thavorn, K.; Saokaew, S. Long-Term Cost-Effectiveness of Insulin Glargine Versus Neutral Protamine Hagedorn Insulin for Type 2 Diabetes in Thailand. Appl. Health Econ. Health Policy 2016, 14, 281–292. [Google Scholar] [CrossRef] [PubMed]
  17. Bank of Thailand. Foreign Exchange Rates. Available online: https://www.bot.or.th/App/BTWS_STAT/statistics/ReportPage.aspx?reportID=123&language=th (accessed on 14 September 2022).
  18. Silbert, R.; Salcido-Montenegro, A.; Rodriguez-Gutierrez, R.; Katabi, A.; McCoy, R.G. Hypoglycemia Among Patients with Type 2 Diabetes: Epidemiology, Risk Factors, and Prevention Strategies. Curr. Diabetes Rep. 2018, 18, 53. [Google Scholar] [CrossRef] [PubMed]
  19. Chirakup, S.; Chaiyakunapruk, N.; Chaikledkeaw, U.; Pongcharoensuk, P.; Ongphiphadhanakul, B.; Roze, S.; Valentine, W.J.; Palmer, A.J. Cost-Effectiveness Analysis of Thiazolidinediones in Uncontrolled Type 2 Diabetic Patients Receiving Sulfonylureas and Metformin in Thailand. Value Health 2008, 11, S43–S51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Goldhaber-Fiebert, J.D.; Li, H.; Ratanawijitrasin, S.; Vidyasagar, S.; Wang, X.Y.; Aljunid, S.M.; Shah, N.; Wang, Z.; Hirunrassamee, S.; Bairy, K.L.; et al. Inpatient treatment of diabetic patients in Asia: Evidence from India, China, Thailand and Malaysia. Diabet. Med. 2009, 27, 101–108. [Google Scholar] [CrossRef] [PubMed]
  21. Chatterjee, S.; Riewpaiboon, A.; Piyauthakit, P.; Riewpaiboon, W.; Boupaijit, K.; Panpuwong, N.; Archavanuntagul, V. Cost of diabetes and its complications in Thailand: A complete picture of economic burden. Health Soc. Care Community 2011, 19, 289–298. [Google Scholar] [CrossRef] [PubMed]
  22. American Diabetes Association. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Medical Care in Diabetes-2020. Diabetes Care 2020, 43, S98–S110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Patient selection flow chart.
Figure 1. Patient selection flow chart.
Healthcare 11 00949 g001
Figure 2. Mean outpatient costs per visit over a 6-year period.
Figure 2. Mean outpatient costs per visit over a 6-year period.
Healthcare 11 00949 g002
Figure 3. Mean inpatient costs per admission over a 6-year period.
Figure 3. Mean inpatient costs per admission over a 6-year period.
Healthcare 11 00949 g003
Table 1. Healthcare resource use and incidence rate.
Table 1. Healthcare resource use and incidence rate.
YearTotal
201520162017201820192020
Total visits with type 2 diabetes93,86099,363106,506175,925189,385196,930861,969
Number of visits with blood glucose <70 mg/dL2592853373634312811956
Incidence rate of visits with hypoglycemia 1
(per 1000 visits per year)
2.82.93.22.12.31.42.3
Number of inpatients323435466672285 2
Number of admissions353740527891333
Admissions 3 (percent)13.513.011.914.318.132.417.0
Admission rate 4
(per 10,000 visits per year)
3.73.73.83.04.14.63.9
1 Incidence rate = (number of visits with blood glucose <70 mg/dL × 1000)/total visits with type 2 diabetes. 2 Some patients readmitted in the same year or different years; all unique hospital numbers totaled 254 patients. 3 Admissions = (number of admissions × 100)/number of visits with blood glucose <70 mg/dL. 4 Admission rate = (number of admissions × 10,000)/total visits with type 2 diabetes.
Table 2. Antidiabetic treatment used among admitted patients.
Table 2. Antidiabetic treatment used among admitted patients.
Total of 333 Admissions (%)
Number of antidiabetic drugs patients received
      51(0.3)
      48(2.4)
      369(20.7)
      2130(39.0)
      1123(36.9)
Diet control2(0.6)
Classes of antidiabetic drugs
      Insulin
              -1 insulin preparation
              -2 insulin preparations
204
194
10
(61.3)
(58.3)
(3.0)
      Biguanides127(38.1)
      Sulfonylureas119(35.7)
      Thiazolidinedione81(24.3)
      Dipeptidyl peptidase inhibitors60(18.0)
      Sodium glucose cotransporter inhibitors4(1.2)
      Glucagon-like peptide-1 receptor agonists1(0.3)
      Combined drugs17(5.1)
      Other classes4(1.2)
Insulin
      First insulin preparation204(61.3)
              -Premixed insulin174(52.3)
              -Long-acting insulin20(6.0)
              -Intermediate-acting insulin10(3.0)
      Second insulin preparation10(3.0)
              -Rapid-acting insulin6(1.8)
              -Intermediate-acting insulin3(0.9)
              -Premixed insulin1(0.3)
Table 3. Total and disaggregated cost items of outpatients and inpatient visits.
Table 3. Total and disaggregated cost items of outpatients and inpatient visits.
Cost ItemYear 2015Year 2016Year 2017Year 2018Year 2019Year 2020
Value%Value%Value%Value%Value%Value%
Cost of outpatient visit THB (USD)
Drugs711,01953798,829591,820,045722,213,188812,558,889841,714,57084
(19,426.7) (21,825.9) (49,728.0) (60,469.6) (69,915.0) (46,846.2)
Laboratory work518,89739414,20431579,77723423,18315371,50412254,83712
(14,177.5) (11,317.0) (15,840.9) (11,562.4) (10,150.4) (6962.8)
Chest X-ray33,457340,424342,020215,51115,996116,0591
(914.1) (1104.5) (1148.1) (427.6) (437.0) (438.8)
Others67,942597,3577100,166493,131389,856354,3453
(1856.3) (2660.0) (2736.8) (2544.6) (2455.1) (1484.8)
Total cost1,331,3141001,350,8131002,542,0081002,745,1531003,036,2451002,039,811100
(36,374.7) (36,907.5) (69,453.8) (75,004.2) (82,957.5) (55,732.5)
Average 2,174,224 (59,405.03)
Cost of inpatient visit THB (USD)
Drugs122,70919335,69623357,32719209,41225381,31419689,55221
(3352.7) (9172.0) (9763.0) (5721.6) (10,418.4) (18,840.2)
Laboratory work161,62024249,38817238,71213168,57620424,72921569,54917
(4415.9) (6813.9) (6522.2) (4605.9) (11,604.6) (15,561.4)
Chest X-ray39,732670,1495135,383727,069395,2385202,2076
(1085.6) (1916.6) (3699.0) (739.6) (2602.1) (5524.8)
Surgeries/11,132261,9484104,71765700.178,067447,2761
operations(304.1) (1692.6) (2861.1) (15.6) (2133.0) (1291.7)
Services246,34137544,42337677,73436311,28237693,182341,181,73236
(6730.6) (14,874.9) (18,517.3) (8505.0) (18,939.4) (32,287.8)
Instruments14,061296,1667109,252638,0415100,1225353,71211
(384.2) (2627.5) (2985.0) (1039.4) (2735.6) (9664.2)
Food/room65,73610119,9518260,8461486,03110237,09012211,5256
(1796.1) (3277.3) (7126.9) (2350.6) (6477.9) (5779.4)
Total cost661,3311001,477,7191001,883,971100840,9801002,009,7411003,255,553100
(18,069.1) (40,374.8) (51,474.6) (22,977.6) (54,911.0) (88,949.5)
Average1,688,216 (46,126.11)
Abbreviations: THB, Thai Baht; USD, US dollar.
Table 4. Average costs of outpatient and inpatient visits.
Table 4. Average costs of outpatient and inpatient visits.
CostsYear 2015Year 2016Year 2017Year 2018Year 2019Year 2020
MeanSDMeanSDMeanSDMeanSDMeanSDMeanSD
Average outpatient cost per visit THB (USD)
Drugs2745
(75.0)
8397
(229.4)
2803
(76.6)
9504
(259.7)
5401
(147.6)
15,138
(413.6)
6097
(166.6)
17,307
(472.9)
5937
(162.2)
20,546
(561.4)
6102
(166.7)
20,859
(569.9)
Laboratory
Work
2003
(54.7)
5847
(159.8)
1453
(39.7)
3360
(91.8)
1720
(47.0)
5257
(143.6)
1166
(31.9)
2317
(63.3)
862
(23.6)
887
(24.2)
907
(24.8)
997
(27.2)
Chest X-ray129
(3.5)
1075
(29.4)
142
(3.9)
970
(26.5)
125
(3.4)
671
(18.3)
43
(1.2)
222
(6.1)
37
(1.0)
188
(5.1)
57
(1.6)
364
(9.9)
Others262
(7.2)
606
(16.6)
342
(9.3)
925
(25.3)
297
(8.1)
927
(25.3)
257
(7.0)
649
(17.7)
208
(5.7)
529
(14.4)
193
(5.3)
317
(8.7)
Total cost5140
(140.4)
9997
(273.1)
4740
(129.5)
10,127
(276.7)
7543
(206.1)
16,19
(442.5)
7562
(206.6)
17,684
(483.2)
7045
(192.5)
20,667
(564.7)
7259
(198.3)
20,964
(572.8)
Average outpatient cost per visit ± SD
6669 ± 17,005 (182.2 ± 464.6)
Average inpatient cost per admission THB (USD)
Drugs3506
(95.8)
6079
(166.1)
9073
(247.9)
21,956
(599.9)
8933
(244.1)
31,385
(857.5)
4027
(110.0)
13,394
(366.0)
4889
(133.6)
10,954
(299.3)
7578
(207.0)
50,300
(1374.3)
Laboratory
Work
4618
(126.2)
5752
(157.2)
6740
(184.2)
8979
(245.3)
5968
(163.1)
14,214
(388.4)
3242
(88.6)
5505
(150.4)
5445
(148.8)
11,182
(305.5)
6259
(171.0)
20,874
(570.3)
Chest X-ray1135
(31.0)
2472
(67.5)
1896
(51.8)
4241
(115.9)
3385
(92.5)
11,513
(314.6)
521
(14.2)
1277
(34.9)
1221
(33.4)
3535
(96.6)
2222
(60.7)
9294
(253.9)
Surgeries/
operations
318
(8.7)
872
(23.8)
1674
(45.7)
7441
(203.3)
2618
(71.5)
14,286
(390.3)
11
(0.3)
79
(2.2)
1001
(27.3)
3942
(107.7)
520
(14.2)
3286
(89.8)
Services7038
(192.3)
9757
(266.6)
14,714
(402.0)
23,151
(632.5)
16,943
(462.9)
57,129
(1560.9)
5986
(163.6)
16,243
(443.8)
8887
(242.8)
25,302
(691.3)
12,986
(354.8)
57,756
(1578.0)
Instruments402
(11.0)
645
(17.6)
2599
(71.0)
4980
(136.1)
2731
(74.6)
10,042
(274.4)
732
(20.0)
2202
(60.2)
1284
(35.1)
2878
(78.6)
3887
(106.2)
27,781
(759.0)
Food/room1878
(51.3)
3232
(88.3)
3242
(88.6)
5948
(162.5)
6521
(178.2)
28,608
(781.6)
1654
(45.2)
3848
(105.1)
3040
(83.0)
7524
(205.6)
2324
(63.5)
8706
(237.9)
Total cost18,895
(516.3)
25,413
(694.4)
39,938
(1091.2)
63,738
(17,415)
47,099
(1286.9)
153,035
(4181.3)
16,173
(441.9)
40,907
(1117.7)
25,766
(704.0)
54,365
(1485.4)
35,775
(977.5)
172,517
(4713.6)
Average inpatient costs per admission ± SD
30,418 ± 111,224 (831.1 ± 3038.9)
Abbreviations: SD, standard deviation; THB, Thai Baht; USD, US dollar.
Table 5. Baseline predictors of the total cost of inpatient visits in a multivariate model.
Table 5. Baseline predictors of the total cost of inpatient visits in a multivariate model.
VariablesCoefficientStandard Errorp-Value
Intercept9.33370.5514<0.001
Age−0.00330.00480.489
Female−0.02780.14420.847
Length of stay0.15860.0319<0.001
Insulin use−0.22850.20740.271
Metformin use−0.21260.16570.199
Sulfonylurea use0.07020.20880.737
Thiazolidinedione use−0.11090.13870.424
DPP-4 inhibitor use−0.24490.19140.201
GLP-1 agonist use−0.32550.18330.076
SGLT-2 inhibitor use−0.02400.28330.933
Equation: ln(total cost) = 9.3337 + 0.1586 x length of stay. Length of stay = 0. ln(total cost) = 9.3337. Total cost = exp(9.3337) = 11,312 THB. Length of stay = 1. ln(total cost) = 9.3337 + 0.1586 x 1 = 9.4923. Total cost = exp(9.4923) = 13,257 THB. Total cost for 1 additional hospitalization = 13,257 − 11,312 = 1945 THB. Abbreviations: DPP-4, dipeptidyl peptidase-4; GLP-1, glucagon-like peptide-1; SGLT-2, sodium-glucose cotransporter-2.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kosachunhanun, N.; Wongsa, D.; Permsuwan, U. Economic Burdens of Type 2 Diabetes Hospital Visits with Hypoglycemic Episodes in the Tertiary Care Setting in Thailand. Healthcare 2023, 11, 949. https://doi.org/10.3390/healthcare11070949

AMA Style

Kosachunhanun N, Wongsa D, Permsuwan U. Economic Burdens of Type 2 Diabetes Hospital Visits with Hypoglycemic Episodes in the Tertiary Care Setting in Thailand. Healthcare. 2023; 11(7):949. https://doi.org/10.3390/healthcare11070949

Chicago/Turabian Style

Kosachunhanun, Natapong, Danil Wongsa, and Unchalee Permsuwan. 2023. "Economic Burdens of Type 2 Diabetes Hospital Visits with Hypoglycemic Episodes in the Tertiary Care Setting in Thailand" Healthcare 11, no. 7: 949. https://doi.org/10.3390/healthcare11070949

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop