It describes what is health technology, evaluation of health technology, primary data methods, Economic data analysis
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Evaluation methods of health technology Aravinth kathiresan MHA 2 nd year
Health technology WHO -The application of organized knowledge and skills in the form of medicines, medical devices, vaccines, procedures and systems developed to solve a health problem and improve quality of life .
Health technology evaluation It is a systematic evaluation of properties, effects and/or impacts of health technology. It is a multidisciplinary process to evaluate the social, economic, organizational and ethical issues of a health intervention or health technology. The main purpose of conducting an assessment is to inform policy decision-making.
H ealth technologies (such as medicines) can involve a review of: clinical evidence compared to existing models of care, cost effectiveness, social and ethical impacts on the health care system and the lives of patients. Invovement of health technology in medicine
The process advises whether or not a health technology should be used, and if so, how it is best used and which patients are most likely to benefit from it. Assessments vary, but most look at the health benefits and risks of using the technology. They can also look at costs and any other wider impacts that the technology may have on a population or on a society. They can also look at the relationship between costs and benefits and risks, and make determinations about value for money.
METHODS OF EVALUATION PRIMARY DATA METHOD INTEGRATIVE METHOD ECONOMIC ANALYSIS METHOD
PRIMARY DATA METHOD Involves collection of original data, ranging from more scientifically rigorous approaches for determining the causal effect of health technologies, such as randomized controlled trials (RCTs), to less rigorous ones, such as case series. These study designs can be described and categorized based on multiple attributes or dimensions.
Examples of primary data method Comparative vs. non-comparative Prospective vs. retrospective Interventional vs. observational Experimental vs. non-experimental Random assignment vs. non-random assignment of patients to treatment and control groups
INTEGRATIVE METHOD Integrative methods (or secondary or synthesis methods) involve combining data or information from existing sources, including from primary data studies. These can range from quantitative, structured approaches such as meta-analyses or systematic literature reviews to informal, unstructured literature reviews.
Examples of integrative method Systematic literature review Meta-analysis Modeling (e.g., decision trees, state-transition models, infectious disease models) Group judgment (“consensus development”) Unstructured literature review Expert opinion
ECONOMIC ANALYSIS METHOD costs and related economic implications comprise a major group of methods used in HTA. These studies can involve attributes of either or both of primary data collection and integrative methods. Cost data from one or more sources are combined with data from primary clinical studies, epidemiological studies, and other sources to conduct cost-effectiveness analyses and other analyses that involve weighing health and economic impacts of health technology.
Concerns about R ising health care costs, P ressures on health care policymakers to allocate resources, T he need for health product makers and other technology advocates to demonstrate the economic benefits of their technologies.
R eferences https://www.nlm.nih.gov/nichsr/hta101/ta10107.html https://toolbox.eupati.eu/glossary/health-technology-assessment/ https://www.euro.who.int/en/health-topics/Health-systems/health-technologies-and-medicines