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Pay-it-forward influenza vaccination among older adults and children: A cost-effectiveness analysis in China. | LitMetric

AI Article Synopsis

  • A quasi-experimental study assessed a pay-it-forward strategy for boosting influenza vaccinations among children and older adults in China, comparing it against a self-paid approach.
  • The pay-it-forward model provided free vaccinations and encouraged participants to donate or promote future vaccinations, using a decision-tree model for economic evaluation.
  • Results showed that while pay-it-forward was more effective in getting people vaccinated (111 vs. 55), it was also costlier ($4477 vs. $2725), and a significant majority (96.4%) opted to donate for future vaccinations, indicating potential for broader implementation.

Article Abstract

A quasi-experimental study was conducted to evaluate the effectiveness of a pay-it-forward strategy for increasing influenza vaccination among children and older adults compared to a self-paid vaccination strategy in China. Pay-it-forward is an innovative community-engaged intervention in which participants receive a free influenza vaccination and are then asked if they would like to donate or create a message to support subsequent vaccinations. This economic evaluation used a decision-tree model to compare pay-it-forward to a standard of care arm in which patients had to pay for their own influenza vaccine. The analysis was performed from the healthcare provider perspective and costs were calculated with 2020 United States dollars. The time horizon was one year. In the base case analysis, pay-it-forward was more effective (111 vs 55 people vaccinated) but more costly than standard-of-care ($4477 vs $2725). Pay-it-forward spurred 96.4% (107/111) of individuals to voluntarily donate to support influenza vaccination for high-risk groups in China. Further costing and implementation research is needed to inform scale up.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470923PMC
http://dx.doi.org/10.1371/journal.pgph.0001590DOI Listing

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