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Table 2 Example of costing adaptations organized by the RE-AIM framework

From: The economics of adaptations to evidence-based practices

RE-AIM domain

Outcome

Adaptation

Cost relevance implications of adaptation

Considerations for cost analysis

Planned vs. unplanned

Reach

Number of patients with at least one ORC appointment

Expanding eligibility criteria for ORC services

Time/resources required for serving additional patients

Interrupted time series could examine cost of new policy on patient reach

Unplanned. Causal inference may not be achieved due to endogeneity

Effectiveness

Number of patients on high-risk LTOT transitioned to safer regimens

New initiative at site requires regular monitoring of patients transferred to safer regimens

Time/resources required for monitoring patients post launch of the initiative

Interrupted time series could examine cost of adaptation on effectiveness per time unit

Unplanned. Causal inference may not be achieved due to endogeneity

Adoption

Number of providers referring patients for opioid reassessment

New dashboard for PCPs to determine patients pre-requisites for ORC

Start-up costs for dashboard development along w/ training in the use of dashboard

The additional implementation costs could be assessed in relevance to outcome of interest

Unplanned. Causal inference may not be achieved due to endogeneity

Implementation

Number of patients seen by ORC

Tele-ORC tested at random sites due to COVID

Start-up costs for training on Tele-ORC and coordination. Changes in patient health care utilization due to tele-health delivery

Sensitivity analysis could show cost differentials in these delivery methods

Planned. Causal inference may be achieved with random assignment

Number of patients successfully completing treatment with ORC

New addiction specialist hired on site w/ specialty in tapering

Salary addition for new specialist on the implementation team. More time consulting/coordinating care w/ more patients

The additional implementation costs could be assessed in relevance to increased rate of outcome per unit time

Unplanned. Causal inference may not be achieved due to endogeneity

Maintenance

Number of providers referring patients for opioid reassessment and completed consults, and number of patients seen

Tele-ORC maintained due to COVID and expanded in a step-wedged fashion to other sites

Additional start-up costs for training on Tele-ORC and coordination. Patient health care utilization continues to differ due to tele-health delivery

Sensitivity analysis could show cost differentials in these delivery methods

Planned. Causal inference may be achieved due to random assignment

  1. ORC opioid reassessment clinic, LTOT long-term opioid treatment