| Literature DB >> 36246531 |
Bryan Hartzler1, Jesse Hinde2, Sharon Lang3, Nicholas Correia3, Julia Yermash3, Kim Yap3, Cara M Murphy3, Richa Ruwala2, Carla J Rash4, Sara J Becker3, Bryan R Garner2.
Abstract
Behavior therapy implementation relies in part on training to foster counselor skills in preparation for delivery with fidelity. Amidst Covid-19, the professional education arena witnessed a rapid shift from in-person to virtual training, yet these modalities' relative utility and expense is unknown. In the context of a cluster-randomized hybrid type 3 trial of contingency management (CM) implementation in opioid treatment programs (OTPs), a multi-cohort design presented rare opportunity to compare cost-effectiveness of virtual vs. in-person training. An initial counselor cohort (n = 26) from eight OTPs attended in-person training, and a subsequent cohort (n = 31) from ten OTPs attended virtual training. Common training elements were the facilitator, learning objectives, and educational strategies/activities. All clinicians submitted a post-training role-play, independently scored with a validated fidelity instrument for which performances were compared against benchmarks representing initial readiness and advanced proficiency. To examine the utility and expense of in-person and virtual trainings, cohort-specific rates for benchmark attainment were computed, and per-clinician expenses were estimated. Adjusted between-cohort differences were estimated via ordinary least squares, and an incremental cost effectiveness ratio (ICER) was calculated. Readiness and proficiency benchmarks were attained at rates 12-14% higher among clinicians attending virtual training, for which aggregated costs indicated a $399 per-clinician savings relative to in-person training. Accordingly, the ICER identified virtual training as the dominant strategy, reflecting greater cost-effectiveness across willingness-to-pay values. Study findings document greater utility, lesser expense, and cost-effectiveness of virtual training, which may inform post-pandemic dissemination of CM and other therapies.Entities:
Keywords: Contingency management; Implementation research; Therapy training; Virtual instruction
Year: 2022 PMID: 36246531 PMCID: PMC9553630 DOI: 10.1007/s41347-022-00283-1
Source DB: PubMed Journal: J Technol Behav Sci ISSN: 2366-5963
Dimensions of in-person vs. virtual workshop training
| Timing | June, 2019 | August, 2020 |
| Location | University event center | Zoom-facilitated webinars |
| Training staff | Trainer: Carla Rash Support: Project Staff | Trainer: Carla Rash Support: Project Staff |
| Duration | 8.5 h, single-day event | 5 h, segmented over multiple days |
| Learning objective | Training to skills-based criterion* | Training to skills-based criterion* |
| Learning structure | Synchronous | Mix of synchronous/asynchronous |
| Educational strategies | Didactic instruction Small group discussion Trainer demonstration/modeling Behavioral rehearsal | Didactic instruction Small group discussion Trainer demonstration/modeling Behavioral rehearsal |
| Educational activities | Introduction to CM principles Implementation planning Trainer modeling of CM delivery Application of fidelity ratings Dyadic role-play with peer Orientation to parent trial | Introduction to CM principles Implementation planning Trainer modeling of CM delivery Application of fidelity ratings Dyadic role-play with peer Orientation to parent trial |
| Remuneration | 6.0 continuing education units | 5.0 continuing education units |
*Skill-based criterion was assessed via recorded role-play scored by study staff via the contingency management competence scale, with criterion for implementation readiness informed by recommendations of Petry and colleagues (2010)
Demographic and background characteristics of opioid treatment program staff
| 26 | 31 |
The initial cohort, drawn from 8 recruited opioid treatment programs, attended an in-person training workshop in June, 2019; the latter cohort, drawn from 10 recruited opioid treatment programs, attended a virtual training workshop in August, 2020
*indicates between-cohort difference at p < 0.05, based on χ2 test
Actual expenses for in-person and virtual workshop training
| Labor costs | ||
| Counselors | $260 | $151 |
| Training Staff | $130 | $65 |
| Travel costs | ||
| Counselors | $112 | – |
| Training Staff | $44 | – |
| Space and Meal Costs | $163 | $44 |
| Materials Costs | $10 | $62 |
| Labor costs | ||
| Counselors | $4 | $2 |
| Training staff | $28 | $29 |
| Materials costs | $41 | $40 |
All costs are actual per-counselor costs, based on the recruited cohorts of opioid treatment programs’ staff for in-person workshop training (n = 26) and virtual workshop training (n = 31)
Cost-effectiveness metrics for achievement of proficiency benchmarks
| Adjusted cost estimates | Adjusted rate for staff achievement of the beginning proficiency benchmark | Beginning proficiency ICER | Adjusted rate for staff achievement of the advanced proficiency benchmark | Advanced proficiency ICER | |
|---|---|---|---|---|---|
| In-person workshop training | $811 | 0.86 | 0.36 | ||
| Virtual workshop training | $388 | 0.96 | 0.41 | ||
| Incremental difference | $423* | −0.10 | Dominant | −0.05 | Dominant |
The adjusted cost and proficiency estimates in this table reflect estimates controlling for the effects of educational attainment, and therefore may not match the actual costs or attainment rates reported elsewhere; the incremental cost effectiveness ratios (ICERs) were calculated to specify the ratio of between-cohort cost differences to the difference in training outcomes, to indicate what resources must be invested to obtain an additional unit of outcome at a given willingness-to-pay; proficiency benchmarks used to represent training outcomes were derived from the contingency management competence scale; scale average scores of 4.0 as threshold for achievement of beginning proficiency and 5.8 as threshold for achievement of advanced proficiency; the dominant training strategy is that which is both more effective and less costly
*p < 0.05
Fig. 1Cost effectiveness acceptability curve