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Economic impact of medical genetic testing on clinical applications in Thailand.
- Source :
-
PloS one [PLoS One] 2020 Dec 18; Vol. 15 (12), pp. e0243934. Date of Electronic Publication: 2020 Dec 18 (Print Publication: 2020). - Publication Year :
- 2020
-
Abstract
- Background: Although the clinical benefits of medical genetic testing have been proven, there has been limited evidence on its economic impact in Thai setting. Thus, this study aimed to evaluate the economic impact of genetic testing services provided by the Center for Medical Genomics (CMG) in Thailand.<br />Methods: Cost-benefit analysis was conducted from provider and societal perspectives. Cost and output data of genetic testing services provided by the CMG during 2014 to 2018 and published literature reviews were applied to estimate the costs and benefits. Monetary benefits related to genetic testing services were derived through human capital approach.<br />Results: The total operation cost was 126 million baht over five years with an average annual cost of 21 million baht per year. The net benefit, benefit-to-cost ratio, and return on investment were 5,477 million baht, 43 times, and 42 times, respectively. Productivity gain was the highest proportion (50.57%) of the total benefit.<br />Conclusions: The provision of genetic testing services at the CMG gained much more benefits than the cost. This study highlighted a good value for money in the establishment of medical genomics settings in Thailand and other developing countries.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Genomics economics
HIV genetics
HIV pathogenicity
HIV Infections epidemiology
HIV Infections genetics
HIV Infections virology
Health Care Costs standards
High-Throughput Nucleotide Sequencing economics
Humans
Thailand epidemiology
Cost of Illness
Cost-Benefit Analysis economics
Genetic Testing economics
HIV Infections economics
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 15
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 33338033
- Full Text :
- https://doi.org/10.1371/journal.pone.0243934