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Potencial sesgo de patrocinio en los análisis coste-efectividad de intervenciones sanitarias: un análisis transversal
OBJECTIVE: To examine the relationship between the funding source of cost-effectiveness analyses of healthcare interventions published in Spain and study conclusions. DESIGN: Descriptive cross-sectional study. LOCATION: Scientific literature databases (until December 2014). PARTICIPANTS (ANALYSIS UN...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875970/ https://www.ncbi.nlm.nih.gov/pubmed/28062088 http://dx.doi.org/10.1016/j.aprim.2016.08.001 |
Sumario: | OBJECTIVE: To examine the relationship between the funding source of cost-effectiveness analyses of healthcare interventions published in Spain and study conclusions. DESIGN: Descriptive cross-sectional study. LOCATION: Scientific literature databases (until December 2014). PARTICIPANTS (ANALYSIS UNITS): Cohort of cost-effectiveness analysis of healthcare interventions published in Spain between 1989-2014 (n = 223) presenting quality-adjusted life years (QALYs) as the outcome measure. MAIN MEASUREMENTS: The relationship between qualitative conclusions of the studies and the type of funding source were established using Fisher's exact test in contingency tables. Distributions of the incremental cost-effectiveness ratios by source of funding in relation to hypothetical willingness to pay thresholds between € 30,000-€ 50,000 per QALY were explored. RESULTS: A total of 136 (61.0%) studies were funded by industry. The industry-funded studies were less likely to report unfavorable or neutral conclusions than studies non-funded by industry (2.2% vs. 23.0%; P < .0001), largely driven by studies evaluating drugs (0.9% vs. 21.4%; P < .0001). The incremental cost-effectiveness ratios in studies funded by industry were more likely to be below the hypothetical willingness to pay threshold of € 30,000 (73.8% vs. 56.3%; P < .0001) and € 50,000 (89.4% vs. 68.2%; P < .0001) per QALY. CONCLUSIONS: This study reveals a potential sponsorship bias in cost-effectiveness analyses of healthcare interventions. Studies funded by industry could be favoring the efficiency profile of their products. |
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