RESUMO
BACKGROUND: The hype surrounding stem cell science has created a market opportunity for the cosmetic industry. Cosmetic and anti-aging products and treatments that make claims regarding stem cell technology are increasingly popular, despite a lack of evidence for safety and efficacy of such products. OBJECTIVES: This study explores how stem cell-based products and services are portrayed to the public through online sources, in order to gain insight into the key messages available to consumers. METHODS: A content analysis of 100 web pages was conducted to examine the portrayals of stem cell-based cosmetic and anti-aging products and treatments. A qualitative discourse analysis of one web page further examined how language contributes to the portrayals of these products and treatments to public audiences. RESULTS: The majority of web pages portrayed stem cell-based products as ready for public use. Very few web pages substantiated claims with scientific evidence, and even fewer mentioned any risks or limitations associated with stem cell science. The discourse analysis revealed that the framing and use of metaphor obscures the certainty of the efficacy of and length of time for stem cell-based anti-aging technology to be publicly available. CONCLUSIONS: This study highlights the need to educate patients and the public on the current limits of stem cell applications in this context. In addition, generating scientific evidence for stem cell-based anti-aging and aesthetic applications is needed for optimizing benefits and minimizing adverse effects for the public. Having more evidence on efficacy and risks will help to protect patients who are eagerly seeking out these treatments.
Assuntos
Publicidade , Extratos Celulares/uso terapêutico , Técnicas Cosméticas , Internet , Marketing de Serviços de Saúde , Rejuvenescimento , Envelhecimento da Pele , Células-Tronco , Fatores Etários , Extratos Celulares/efeitos adversos , Informação de Saúde ao Consumidor , Técnicas Cosméticas/efeitos adversos , Medicina Baseada em Evidências , Humanos , Idioma , Opinião Pública , Medição de Risco , Fatores de RiscoRESUMO
OBJECTIVES: To demonstrate the health economic impact of OM-85, a bacterial lysates based immunostimulant, for its approved indications in China. METHODS: A cost-effectiveness decision tree model was constructed comparing OM-85 with the best supportive care/placebo therapy for managing the acute exacerbation of chronic bronchitis and rhinosinusitis in the Chinese population. Clinical efficacy and adverse events (AE) data were included in the model based on a thorough literature review. All localized direct treatment costs, including drug cost, AE costs, and medical treatment costs for underlining diseases were included from a Chinese third party payer perspective. A Key Opinion Leaders (KOL) survey was conducted with 20 senior physicians specialized in respiratory, ENT, allergy, and immunology fields from tertiary hospitals in Beijing, Shanghai, Guangzhou, Hangzhou, Shenyang, and Wuhan to validate the local treatment costs. Incremental cost-effectiveness ratio (ICER) was calculated based on the above efficacy and cost information. RESULTS: OM-85 is a cost-effective therapy when compared with placebo (standard care). OM-85 can treat/prevent one additional full episode exacerbation of chronic bronchitis and one additional full episode exacerbation of rhinosinusitis with only additional costs of RMB 653 and RMB 1182.84, respectively. In comparison, each acute exacerbation of chronic bronchitis will cost RMB 4510.10, and each acute exacerbation of rhinosinuisitis will cost RMB 1807.21 in a Chinese clinical management setting. One-way sensitivity analyses were performed and the ICER result was demonstrated to be consistent. CONCLUSIONS: OM 85 reduces acute exacerbations among patients with chronic bronchitis and chronic rhinosinusitis when compared with Placebo (standard care). From a Chinese payer perspective, OM 85 is a cost-effective therapy in the clinical management of both chronic bronchitis and rhinosinusitis in the adult population.