Health Insurance Expenditure Structure for Type 2 Diabetes Treatment in Vietnam by Hospital Classification, 2018-2022: A Descriptive Analysis of Claims Data From Hanoi and Ho Chi Minh City
Nguyen, T. T. T.; Nguyen, V. L.; Vo, N. N. Y.; Nguyen, H. C. D.; Nguyen, H. T. T.
Show abstract
BackgroundType 2 diabetes mellitus (T2DM) is a chronic disease that imposes a significant burden on healthcare systems and society. In Vietnam, the prevalence of T2DM is rapidly increasing; however, evidence on treatment expenditure derived from large administrative databases remains limited. This study was carried out provides an overview of total treatment expenditures for T2DM across hospital tiers between 2018 and 2022. MethodsThis cross-sectional descriptive study utilized retrospective health insurance (HI) data from 2018-2022. Data was collected and analyzed based on cost components (medications, diagnostic tests, hospital beds, etc.) across healthcare facilities classified by hospital level. Costs were converted to 2024 USD using the CCEMG-EPPI-Centre cost converter. ResultsTotal expenditure increased from 227.17 million USD in 2018 to 425.53 million USD in 2022 with spending concentrated in Class I and Class II healthcare facilities, although their shares declined over time, while the proportions attributed to unclassified and special-class facilities increased. Drugs accounted for the largest share of expenditure (49.65%-78.95%), followed by laboratory tests (7.31%-19.89%) across all hospital classifications. Other components, including hospital beds, diagnostic imaging, procedures/surgeries, and medical supplies, contributed smaller proportions but increased over time in several facility groups. ConclusionThe study indicates that medication costs constitute the largest share of treatment expenditure for type 2 diabetes mellitus at healthcare facilities, reflecting the long-term treatment requirements of this chronic disease. In addition, health expenditure remained concentrated in Class I and Class II healthcare facilities, although their shares declined over the study period, while the proportions attributed to unclassified and special-class facilities increased. These findings suggest the need to strengthen diabetes screening, treatment, and follow-up at lower-level healthcare facilities in order to reduce the burden on higher-level hospitals and improve the efficiency of healthcare resource allocation.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Health Economic Burden of COVID-19 in Saudi Arabia 96%
- Nowcasting and Forecasting the Spread of COVID-19 and Healthcare Demand In Turkey, A Modelling Study 93%
- Health literacy profiles correlate with participation in primary health care among patients with chronic diseases: A latent profile analysis 92%
Similar papers in this journal
- The Impact for implementing Balanced Scorecard in Health Care Organizations: A Systematic Review 94%
- A Systematic Review: The Dimensions and Indicators utilized in the Performance Evaluation of Health Care Organizations- An Implication during COVID-19 Pandemic 94%
- Healthcare workers preparedness for COVID-19 pandemic in the occupied Palestinian territory: a cross-sectional survey 92%
Similar papers in this journal
- Economic Burden of Hypoglycaemia among Type II Diabetes Mellitus Patients in Malaysia. 94%
- Risk perceptions and preventive practices of COVID-19 among healthcare professionals in public hospitals in Ethiopia 93%
- Strengthening government’s response to COVID-19 in Indonesia: a modified Delphi study of medical and health academics 93%
Similar papers in this journal
- Drug Supply Management at First-level Public Health Facilities: Case of Pyay District, Myanmar 94%
- Access to essential medicines for noncommunicable diseases during conflicts: the case cardiovascular diseases, diabetes and epilepsy in Northern Syria 93%
- Quality and sustainability of Ethiopias national surgical indicators 93%
Similar papers in this journal
- The paradox of the COVID-19 pandemic: the impact on patient demand in Japanese hospitals 94%
- The Amortization of Funding Gene Therapies: Making the “Intangibles” Tangible for Patients 93%
- A novel methodology to measure waiting times for community-based specialist care in a public healthcare system 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.