Evidence map›Paper›PMID 29359126›Full record

ArticleFrontiers in public health2017

The Price per Prospective Consumer of Providing Therapist Training and Consultation in Seven Evidence-Based Treatments within a Large Public Behavioral Health System: An Example Cost-Analysis Metric.

Kelsie H Okamura, Courtney L Benjamin Wolk, Christina D Kang-Yi, Rebecca Stewart, Ronnie M Rubin, Shawna Weaver, Arthur C Evans, Zuleyha Cidav, Rinad S Beidas, David S Mandell

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Trial
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  7. Review
  8. Life review for older adults: an integrative review.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2024
    Review
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  18. Therapist training in evidence-based interventions for mental health: A systematic review of training approaches and outcomes.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Kelsie H OkamuraDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
Courtney L Benjamin WolkDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
Christina D Kang-YiDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
Rebecca StewartDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
Ronnie M RubinCity of Philadelphia Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA, United States.
Shawna WeaverCity of Philadelphia Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA, United States.
Arthur C EvansAmerican Psychological Association, Washington, DC, United States.
Zuleyha CidavDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
Rinad S BeidasDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
David S MandellDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
University of Pennsylvania · USAmerican Psychological Association · USHawaii Department of Health · US

Funding

Policy to Implementation: Evidence-Based Practice in Community Mental HealthK23MH099179 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BEIDAS, RINAD SARY · 2012 to 2016
$887k
Investigating the Payer Role in the Implementation of EBP in the Public SectorF32MH103960 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI STEWART, REBECCA E · 2014 to 2017
$172k
NIMH NIH HHS F32 MH103960NIMH NIH HHS K23 MH099179
6 · The paper itself

Abstract

objectivePublic-sector behavioral health systems seeking to implement evidence-based treatments (EBTs) may face challenges selecting EBTs given their limited resources. This study describes and illustrates one method to calculate cost related to training and consultation to assist system-level decisions about which EBTs to select.

methodsTraining, consultation, and indirect labor costs were calculated for seven commonly implemented EBTs. Using extant literature, we then estimated the diagnoses and populations for which each EBT was indicated. Diagnostic and demographic information from Medicaid claims data were obtained from a large behavioral health payer organization and used to estimate the number of covered people with whom the EBT could be used and to calculate implementation-associated costs per consumer.

resultsFindings suggest substantial cost to therapists and service systems related to EBT training and consultation. Training and consultation costs varied by EBT, from Dialectical Behavior Therapy at $238.07 to Cognitive Behavioral Therapy at $0.18 per potential consumer served. Total cost did not correspond with the number of prospective consumers served by an EBT.

conclusionA cost-metric that accounts for the prospective recipients of a given EBT within a given population may provide insight into how systems should prioritize training efforts. Future policy should consider the financial burden of EBT implementation in relation to the context of the population being served and begin a dialog in creating incentives for EBT use.

Indexed as

cost-analysisevidence-based treatmentpopulation healththerapisttraining and consultation

Identifiers

PMID29359126
PMCPMC5766669
OpenAlexW2782292810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.