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Pay-for-performance as a cost-effective implementation strategy: results from a cluster randomized trial

Overview of attention for article published in Implementation Science, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Pay-for-performance as a cost-effective implementation strategy: results from a cluster randomized trial
Published in
Implementation Science, July 2018
DOI 10.1186/s13012-018-0774-1
Pubmed ID
Authors

Bryan R. Garner, Aung K. Lwin, Gail K. Strickler, Brooke D. Hunter, Donald S. Shepard

Abstract

Pay-for-performance (P4P) has been recommended as a promising strategy to improve implementation of high-quality care. This study examined the incremental cost-effectiveness of a P4P strategy found to be highly effective in improving the implementation and effectiveness of the Adolescent Community Reinforcement Approach (A-CRA), an evidence-based treatment (EBT) for adolescent substance use disorders (SUDs). Building on a $30 million national initiative to implement A-CRA in SUD treatment settings, urn randomization was used to assign 29 organizations and their 105 therapists and 1173 patients to one of two conditions (implementation-as-usual (IAU) control condition or IAU+P4P experimental condition). It was not possible to blind organizations, therapists, or all research staff to condition assignment. All treatment organizations and their therapists received a multifaceted implementation strategy. In addition to those IAU strategies, therapists in the IAU+P4P condition received US $50 for each month that they demonstrated competence in treatment delivery (A-CRA competence) and US $200 for each patient who received a specified number of treatment procedures and sessions found to be associated with significantly improved patient outcomes (target A-CRA). Incremental cost-effectiveness ratios (ICERs), which represent the difference between the two conditions in average cost per treatment organization divided by the corresponding average difference in effectiveness per organization, and quality-adjusted life years (QALYs) were the primary outcomes. At trial completion, 15 organizations were randomized to the IAU condition and 14 organizations were randomized to the IAU+P4P condition. Data from all 29 organizations were analyzed. Cluster-level analyses suggested the P4P strategy led to significantly higher average total costs compared to the IAU control condition, yet this average increase of 5% resulted in a 116% increase in the average number of months therapists demonstrated competence in treatment delivery (ICER = $333), a 325% increase in the average number of patients who received the targeted dosage of treatment (ICER = $453), and a 325% increase in the number of days of abstinence per patient in treatment (ICER = $8.134). Further supporting P4P as a cost-effective implementation strategy, the cost per QALY was only $8681 (95% confidence interval $1191-$16,171). This study provides experimental evidence supporting P4P as a cost-effective implementation strategy. NCT01016704 .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Student > Master 15 17%
Researcher 13 14%
Other 7 8%
Student > Bachelor 3 3%
Other 9 10%
Unknown 27 30%
Readers by discipline Count As %
Social Sciences 17 19%
Medicine and Dentistry 14 16%
Psychology 10 11%
Nursing and Health Professions 7 8%
Economics, Econometrics and Finance 4 4%
Other 8 9%
Unknown 30 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 August 2018.
All research outputs
#3,082,223
of 25,292,646 outputs
Outputs from Implementation Science
#646
of 1,796 outputs
Outputs of similar age
#58,627
of 334,694 outputs
Outputs of similar age from Implementation Science
#21
of 43 outputs
Altmetric has tracked 25,292,646 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,796 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,694 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.