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1.
Health Econ Rev ; 14(1): 37, 2024 Jun 05.
Artículo en Inglés | MEDLINE | ID: mdl-38836982

RESUMEN

BACKGROUND: Recently, the endovascular treatment (EVT) of acute ischemic stroke has made significant progress in many aspects. Intravenous thrombolysis (IVT) is usually recommended before endovascular treatment in clinical practice, but the value of the practice is controversial. The latest meta-analysis evaluation was that the effect of EVT versus EVT plus IVT did not differ significantly. The cost-effectiveness analysis of EVT plus IVT needs further analysis. This study assesses the health benefits and economic impact of EVT plus IVT in Shandong Peninsula of China. METHOD: We followed a cross-section design using the Chinese-Shandong Peninsula public hospital database between 2013 and 2023. The real-world costs and health outcomes were collected through the Hospital Information System (HIS) and published references. We calculated incremental cost-effectiveness ratios (ICERs) from the perspective of Chinese healthcare using the complex decision model to compare the costs and effectiveness between EVT versus EVT + IVT. One-way and Monte Carlo probabilistic sensitivity analyses were performed to assess the robustness of the economic evaluation model. RESULTS: EVT alone had a lower cost compared with EVT + IVT whether short-term or long-term. Until 99% dead of AIS patients, the ICER per additional QALY was RMB696399.30 over the willingness-to-pay (WTP) threshold of 3× gross domestic product (GDP) per capita in Shandong. The probabilistic sensitivity analysis of 3 months, 1 year and long-term horizons had a 97.90%, 97.43% and 96.89% probability of cost-effective treatment under the WTP threshold (1×GDP). The results of the one-way sensitivity analysis showed that direct treatment costs for EVT alone and EVT + IVT were all sensitive to ICER. CONCLUSIONS: EVT alone was more cost-effective treatment compared to EVT + IVT in the Northeast Coastal Area of China. The data of this study could be used as a reference in China, and the use of the evaluation in other regions should be carefully considered.

2.
JAMA Netw Open ; 5(4): e228788, 2022 04 01.
Artículo en Inglés | MEDLINE | ID: mdl-35467732

RESUMEN

Importance: In China, little is known about end-of-life (EOL) care preferences of patients with terminal cancer. Understanding these patients' treatment preferences is needed to improve patient-centered health care, better inform surrogates and medical staff about patient preferences, and enhance the quality of EOL care. Objective: To examine preferences for EOL care among patients with terminal cancer in China. Design, Setting, and Participants: In this survey study, patients older than 50 years who had terminal cancer were randomly selected from medical records at a single hospital in China. Data on patients' EOL care preferences were collected by discrete choice experiment (DCE) from August to November 2018 and were analyzed from October 2020 to March 2021. Main Outcomes and Measures: The main outcome was patient preferences in EOL care, derived using a mixed logit model. Each DCE scenario described 6 attributes: hospitalization days, life extension, quality of life, adverse treatment events, place-of-death preference, and out-of-pocket costs. The marginal willingness to pay (WTP) in US dollars was estimated from regression coefficients. Results: Of 188 patients selected for the survey, 183 participated (97.3%). Among the respondents, the mean [SD] age was 61 [8.4] years, and 128 (69.8%) were male. Patients' preferences for moderate increase in survival time, better quality of life, death at home, and lower out-of-pocket costs were significantly associated with their choices between treatment models. Extending life by 10 months (vs 4 months: ß, 1.63; 95% CI, 0.81-2.44) and a better quality of life (very good vs poor: ß, 1.79; 95% CI, 0.96-2.62) were the most important attributes to patients. The uptake rate for a treatment scenario increased by 61.6% when the quality of life improved from poor to very good, and when life extension increased from 4 months to 10, the uptake rate increased by 57.2%. The uptake increased by 12.5% when the place of death changed from hospital to home. However, it decreased by 31.4% when the costs increased to $21 174. The study found a WTP of $38 854 (95% CI, $19 468-$95 096) to improve quality of life from a poor to a very good level, substantially higher than the WTP for a life extension of 6 months ($35 308; 95% CI, $17 745-$80 279) or 1 year ($27 572; 95% CI, $16 389-$58 027) compared with the baseline scenario of a 4-month extension. Patients were willing to pay $8860 (95% CI, $621-$26 474) to die at home rather than in a hospital. Conclusions and Relevance: The findings suggest that in addition to extending life moderately for patients with terminal cancer, improving quality of life during EOL care and supporting home deaths may deserve greater attention. The findings also suggest that physicians and surrogates should ask about patients' care preferences and better inform them of their choices to improve EOL care outcomes.


Asunto(s)
Neoplasias , Cuidado Terminal , Niño , China/epidemiología , Femenino , Humanos , Masculino , Neoplasias/terapia , Prioridad del Paciente , Calidad de Vida
3.
Medicine (Baltimore) ; 100(5): e24067, 2021 Feb 05.
Artículo en Inglés | MEDLINE | ID: mdl-33592860

RESUMEN

BACKGROUND: As a common medical emergency in individuals with diabetes, hypoglycemia events can impose significant demands on hospital resources. Based on diabetes patients with and without hypoglycemia, we assess the cost of hypoglycemic events on China's hospital system. METHOD: Our study sample comprised 7110 diabetes episodes, including 1417 patients with hypoglycemia (297 patients with severe and 1120 with non-severe hypoglycemia) and 5693 diabetes patients without hypoglycemia. Data on patient social-demographics, length of hospital stay, and hospitalization costs were collected on each patient from Health Information System in Shandong province, China. The additional hospital costs caused by hypoglycemia were assessed by the cost difference between diabetes patients with and without hypoglycemia, including severe and non-severe hypoglycemia. China-wide hospital costs of hypoglycemia were estimated based on adjusted additional hospital costs, comprising inspection, treatment, drugs, materials, nursing, general medical costs, and other costs, caused by hypoglycemia, the prevalence of diabetes and hypoglycemia events, and the rates of hospitalization. Multiple sensitivity analyses were conducted to assess the impact of variations in the key input parameters on the primary estimates. RESULTS: Total hospital costs for patients with hypoglycemia (US$3020.61) were significantly higher than that of patients without hypoglycemia (US$1642.91). The average additional cost caused by hypoglycemia was US$1377.70, with higher average costs of US$1875.89 for severe hypoglycemia and lower average costs of US$1244.76 for non-severe hypoglycemia. The additional hospital cost caused by severe and non-severe hypoglycemia patients was higher for the 60 to 75 year old group, married patients and patients accessing free medical services. Generally, hypoglycemic patients with Urban and Rural Resident Basic Medical Insurance incurred higher additional hospital costs than patients with Urban Employees Basic Medical Insurance. Based on these estimates, the total annual additional hospital costs arising from hypoglycemia events in China were estimated to be US$67.52 million. Sensitivity analyses suggested that the costs of hypoglycemia events ranged up to US$49.99 million to 67.52 million. CONCLUSION: : Hypoglycemic events imposed a substantial cost on China's hospital system, with certain subgroups of patients, such as older patients and those with free health insurance, using medical resources more intensively to treat hypoglycemia events. We recommend more effective planning of prevention and treatment regimes for hypoglycemia patients; further reform to China's health insurance schemes; and better hospital cost control for those accessing free hospital services.


Asunto(s)
Costo de Enfermedad , Diabetes Mellitus Tipo 1 , Diabetes Mellitus Tipo 2 , Costos de la Atención en Salud/estadística & datos numéricos , Costos de Hospital/estadística & datos numéricos , Hipoglucemia , China/epidemiología , Costos y Análisis de Costo , Diabetes Mellitus Tipo 1/complicaciones , Diabetes Mellitus Tipo 1/tratamiento farmacológico , Diabetes Mellitus Tipo 2/complicaciones , Diabetes Mellitus Tipo 2/tratamiento farmacológico , Servicios Médicos de Urgencia/economía , Servicios Médicos de Urgencia/métodos , Femenino , Gastos en Salud/estadística & datos numéricos , Hospitalización/economía , Hospitalización/estadística & datos numéricos , Humanos , Hipoglucemia/economía , Hipoglucemia/epidemiología , Hipoglucemia/etiología , Hipoglucemia/terapia , Seguro de Salud , Masculino , Persona de Mediana Edad , Prevalencia , Factores Socioeconómicos
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