Theory-based methods to support clinician uptake of evidence-based practices (EBPs) are critical to improving mental health outcomes. Costs associated with effective implementation strategies can be substantial, and few have been rigorously evaluated. The purpose of this study is to conduct a cost-effectiveness analysis to identify the most cost-effective approach to deploying implementation strategies to enhance the uptake of Life Goals, a mental health EBP.
We used data from a previously conducted randomized trial to compare the cost-effectiveness of different augmentations to Replicating Effective Programs (REP) combined with external and/or internal facilitation to enhance uptake of Life Goals. REP is a low-level strategy that includes EBP packaging, training, and technical assistance. External facilitation (EF) involves external expert support, and internal facilitation (IF) augments EF with protected time for internal staff to support EBP implementation. We developed a decision tree to assess 1-year costs and outcomes for four implementation strategies: 1) REP only, 2) REP + EF 3) REP + EF add IF if necessary, 4) REP + EF/IF. The analyses used a 1-year time horizon and assumes a health payer perspective. Our outcome was quality-adjusted life years (QALYs). The economic outcome was the incremental cost-effectiveness ratio (ICER). We conducted deterministic and probabilistic sensitivity analysis (PSA).
Our results indicate that REP + EF add IF is the most cost-effective option with an ICER of $593/QALY. The REP + EF/IF and REP + EF only conditions are dominated. One-way sensitivity analyses indicate that results are sensitive to utilities for REP + EF and REP + EF add IF. The PSA results indicate that REP + EF, add IF is the optimal strategy in 30% of iterations at the threshold of $100,000/QALY.
Our results suggest that the most cost-effective implementation support begins with a less intensive, less costly strategy initially and increases as needed to enhance EBP uptake. Using this approach, implementation support resources can be judiciously allocated to those clinics that would most benefit. Our results were not robust to changes in the utility measure. Further research is needed that incorporates robust and relevant utilities in implementation research to identify the most cost-effective strategies. This research advances economic evaluation of implementation by assessing costs and utilities across multiple implementation strategy combinations.
ClinicalTrials.gov Identifier: NCT02151331, 05/30/2014

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Invitations sent on 29 Nov, 2020
On 29 Nov, 2020
On 08 Nov, 2020
On 08 Nov, 2020
On 08 Nov, 2020
Posted 16 Jul, 2020
On 08 Sep, 2020
Received 20 Aug, 2020
Invitations sent on 03 Aug, 2020
On 03 Aug, 2020
On 13 Jul, 2020
On 12 Jul, 2020
On 12 Jul, 2020
On 10 Jul, 2020
Theory-based methods to support clinician uptake of evidence-based practices (EBPs) are critical to improving mental health outcomes. Costs associated with effective implementation strategies can be substantial, and few have been rigorously evaluated. The purpose of this study is to conduct a cost-effectiveness analysis to identify the most cost-effective approach to deploying implementation strategies to enhance the uptake of Life Goals, a mental health EBP.
We used data from a previously conducted randomized trial to compare the cost-effectiveness of different augmentations to Replicating Effective Programs (REP) combined with external and/or internal facilitation to enhance uptake of Life Goals. REP is a low-level strategy that includes EBP packaging, training, and technical assistance. External facilitation (EF) involves external expert support, and internal facilitation (IF) augments EF with protected time for internal staff to support EBP implementation. We developed a decision tree to assess 1-year costs and outcomes for four implementation strategies: 1) REP only, 2) REP + EF 3) REP + EF add IF if necessary, 4) REP + EF/IF. The analyses used a 1-year time horizon and assumes a health payer perspective. Our outcome was quality-adjusted life years (QALYs). The economic outcome was the incremental cost-effectiveness ratio (ICER). We conducted deterministic and probabilistic sensitivity analysis (PSA).
Our results indicate that REP + EF add IF is the most cost-effective option with an ICER of $593/QALY. The REP + EF/IF and REP + EF only conditions are dominated. One-way sensitivity analyses indicate that results are sensitive to utilities for REP + EF and REP + EF add IF. The PSA results indicate that REP + EF, add IF is the optimal strategy in 30% of iterations at the threshold of $100,000/QALY.
Our results suggest that the most cost-effective implementation support begins with a less intensive, less costly strategy initially and increases as needed to enhance EBP uptake. Using this approach, implementation support resources can be judiciously allocated to those clinics that would most benefit. Our results were not robust to changes in the utility measure. Further research is needed that incorporates robust and relevant utilities in implementation research to identify the most cost-effective strategies. This research advances economic evaluation of implementation by assessing costs and utilities across multiple implementation strategy combinations.
ClinicalTrials.gov Identifier: NCT02151331, 05/30/2014

Figure 1

Figure 2

Figure 3
This is a list of supplementary files associated with this preprint. Click to download.
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