Found "AI": 1,034 results
Cost-effectiveness of alginic acid in combination with proton pump inhibitor for the treatment of gastroesophageal reflux disease in systemic sclerosis patients
Systemic sclerosis (SSc) patients often become refractory to proton pump inhibitors (PPI)—a standard treatment for gastroesophageal reflux disease (GERD)—and intolerant to PPI in combination with domperidone. PPI with alginic acid is an alternative treatment option, but alginic acid is costly.
We
Expanding access to high-cost medicines under the Universal Health Coverage scheme in Thailand: review of current practices and recommendations
There is a growing demand for public health insurance programmes to reimburse high-cost medicines, including those that do not represent good value-for-money. This demand is likely to inhibit financial sustainability, given the growth of new technologies and public demands for expanded access to car
Mapping the value for money of precision medicine: a systematic literature review and meta-analysis
About the study
Objective: This study aimed to quantify heterogeneity in the value for money of precision medicine (PM) by application types across contexts and conditions and to quantify sources of heterogeneity to areas of particular promises or concerns as the field of PM moves forward.
Methods
Telemedicine utilization patterns and implications amidst covid-19 outbreaks in Thailand under public universal coverage scheme
Abstract
During COVID-19 pandemic, telemedicine was a strategy to facilitate healthcare service delivery minimizing the risk of direct exposure among people. In Thailand, the National Health Security Office has included telemedicine services under the Universal Coverage Scheme to support social d
Telemedicine Utilization in Tertiary, Specialized, and Secondary Hospitals in Thailand
Abstract
Introduction: COVID-19 has accelerated the adoption of telemedicine for counseling, follow-up examination, and treatment purposes. The official guidelines in Thailand were launched to regulate or frame the protocols for healthcare professions and teams in different organizations.
Obje
A Retrospective Secondary Data Analysis of Telemedicine Service Utilization (2020-2023) Among Patients Covered By The Universal Coverage Scheme in Thailand
Abstract
Objective: The National Health Security Office in Thailand introduced a telemedicine program called “Telehealth/Telemedicine” in December 2020, which aimed to reimburse telemedicine services for patients with stable chronic diseases under the Universal Coverage Scheme (UCS). The current
An empirical study looking at the potential impact of increasing cost-effectiveness threshold on reimbursement decisions in Thailand
Highlights
Economic evidence (cost-effectiveness information) can be used to inform policy-making process in supporting the movement towards universal health coverage. Published literature has focused on methods to set a cost-effectiveness threshold (CET) which can be used to guide the cost-eff
Good Practices for Health Technology Assessment Guideline Development: A Report of the Health Technology Assessment International, HTAsiaLink, and ISPOR Special Task Force
Highlights
This report provides practical guidance for developing or updating health technology assessment (HTA) guidelines, especially in low- and middle-income countries where HTA is increasingly used as a priority setting tool for healthcare resource allocation and achieving universa
Early health technology assessment of tongue swab for non-sputum based pulmonary tuberculosis diagnosis in Thailand
Background
Sputum-based diagnostic methods for pulmonary tuberculosis (PTB) are challenging for patients who cannot produce sputum. Non-sputum-based approaches, such as tongue swab (TS), can address this gap. This study conducts an early Health Technology Assessment (HTA) of TS for PTB diagno
Framework to guide the use of mathematical modelling in evidence-based policy decision-making
Abstract
Introduction The COVID-19 pandemic highlighted the significance of mathematical modelling in decision-making and the limited capacity in many low-income and middle-income countries (LMICs). Thus, we studied how modelling supported policy decision-making processes in LMICs during the pand
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