The results show that the type of patient presenting for treatment can influence the effectiveness, cost-effectiveness and therefore policy conclusions. Consequently, the design and analysis of studies need to be sufficiently sensitive to detect subtle interaction effects. This may explain the dearth of guideline implementation trials with significant findings. The results also suggest that a more cost-effective implementation method in primary care dentistry may be to subsidize treatment conditional upon patient type.