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More research is needed to investigate variables that may moderate the effects of reinforcement-based interventions. The efficacy of reinforcement- based interventions is determined, in part, by quantitative and qualitative features of the reinforcers, including reinforcer magnitude, frequency, and delay (see Meredith et al., 2014). Petry et al. (2012) found reinforcement- based medication adherence interventions that utilized greater magnitudes of reinforcement and more frequent reinforcement engendered larger effect sizes. This finding is consistent with results of research in other domains (e.g., Lussier et al., 2006). However, few prospective studies have been conducted to evaluate the effects of these variables on medication adherence.

Although one such study conducted by Carroll et al. (2002) found no effect of reinforcer magnitude on medication adherence, this study compared only two different magnitudes of reinforcement.

Much more research is needed on the effects of reinforcement-based

interventions on secondary health outcomes. In patients who are moderately adherent to certain medications (e.g., antiretroviral therapy), minor increases in adherence may produce health benefits (e.g., suppression of viral replication). Thus, major increases in adherence like those observed in most studies discussed in this chapter would certainly be expected to have clinically meaningful effects on health. Although some studies reviewed in this chapter found reinforcement of medication adherence was associated with improvements in biological indices of health (e.g., Rosen et al., 2007), other studies were not powered to detect changes in secondary outcomes (e.g., Petry et al., 2015), or they did not report any health-related outcomes other than adherence (e.g., Cass et al., 2005).

More research is needed on the post-treatment effects of reinforcement- based interventions on medication adherence. Although post-treatment effects are of little concern when a medication regimen is of short duration (e.g., for acute health conditions), they are of major concern when the regimen lasts substantially longer than the intervention (e.g., for chronic health conditions).

Yet, only a handful of studies have investigated post-treatment effects of reinforcement-based interventions on adherence, and these studies showed treatment effects diminished over time (e.g., Rosen et al., 2007). Indeed, long-term treatment efficacy is the Achilles’ heel of virtually every behavioral, psychosocial, or pharmacological intervention designed to treat a chronic health problem. Treatment effects typically dissipate when interventions are terminated. However, this pattern may be changed within the context of reinforcement-based interventions by adopting affordable strategies to extend treatment duration (e.g., schedule thinning; Preston et al., 2002). Indeed, research suggests increasing treatment duration prolongs treatment effects (Petry et al., 2012).

Research is critically needed to evaluate the cost-effectiveness of reinforcement-based interventions, particularly those designed to promote adherence in patients with chronic diseases. Interventions of considerable duration and, therefore, substantial cost, may be required to treat these patients. Although researchers have developed strategies to minimize or offset the costs associated with reinforcement-based interventions (e.g., Petry, 2000; Silverman et al., 2001), this type of intervention will always come with a price tag. Before implementing reinforcement-based interventions on a wide scale, key stakeholders and policymakers will want to know if the savings in health care costs that result from improved adherence will cover

the costs associated with reinforcement-based interventions.

Finally, more research is needed on the acceptability of reinforcement- based interventions to promote medication adherence. Some critics of reinforcement-based interventions are morally opposed to paying patients to do something they believe the patients should be motivated to do on their own (Parke et al., 2013). However, research shows these objections vary considerably depending on the targeted behavior. For example, taxpayers may object more to reinforcement-based interventions that promote smoking cessation compared to those that promote compliance with mental health therapy (Promberger et al., 2011). The extent to which these objections apply to interventions that promote medication adherence is unclear.

Conclusion

The problem of medication nonadherence cannot be overstated. It is a global epidemic. Although many of the solutions that have been proposed to combat this public health threat are complex, the issue itself is as simple as former U.S. Surgeon General C. Everett Koop once put it, “Drugs don’t work in patients who don’t take them.”

This simple problem has a promising, evidence-based solution:

reinforcement-based interventions. However, there are research gaps, financial concerns, logistical challenges, and ethical objections associated with these interventions. More research is needed on the long-term effects of reinforcement-based interventions on adherence and health. Data on the cost- effectiveness of these interventions are needed. New procedures and better technology are needed to facilitate remote, objective assessment of adherence. Ethical decisions regarding which patients should benefit from reinforcement-based interventions must also be considered.

Until these issues are addressed, they will likely function as barriers to the large-scale adoption of reinforcement-based interventions to promote medication adherence. However, because researchers, practitioners, and policymakers in other domains have found ways to circumvent many of the same barriers (e.g., Petry et al., 2014), there is reason to remain optimistic about the dissemination potential of reinforcement-based interventions to promote medication adherence.

Just as there is reason for optimism, there is also reason for urgency. As

the literature reviewed in this chapter suggests, reinforcement-based interventions are feasible, flexible, and powerful interventions that produce robust improvements in medication adherence. The sooner these interventions can be translated from research into practice, the sooner they can be used to improve the health and well-being of millions of nonadherent patients around the world.

Acknowledgments

Preparation of this chapter was supported in part by National Institutes of Health grants P50-DA09241, P60-AA03510, R01-HD075630, and DP3- DK097705.

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