Randomized Trial of a Data-driven Technical Assistance System for Drug Prevention Coalitions
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
Pennsylvania
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University Park, Pennsylvania, United States, 16802
- Prevention Research Center
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- To be eligible coalitions must be fully operational, thus: 1) have been in existence for at least one year; 2) have a designated coordinator; 3) have at least quarterly meetings in which multiple sectors of the community attend; 4) currently support implementation of drug prevention activities or secured funding to do so; 5) be willing to complete coalition capacity and EBP implementation assessments annually; 7) be willing to participate in four in-person meetings annually with the CCU TA provider.
Exclusion Criteria:
- Exist outside of Pennsylvania or Missouri
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Coalition Check-Up
The 4-step Coalition Check-Up technical assistance process provides proactive data-driven continuous quality improvement cycles.
Step 1 assesses critical dimensions of the coalition's capacity and program implementation.
A coalition profile based on assessment data is reviewed in step 2.
Here the technical assistance provider works with the coalition to consider several dimensions of coalition capacity and program implementation, celebrating strengths and prioritizing weaknesses.
Once priorities are set, the technical assistance provider uses structured action planning in step 3 to help coalition members establish consensus on how to improve prioritized weaknesses.
In step 4, technical assistance providers review and support progress on action plan implementation with the coalition.
Efforts are evaluated a year after the initial assessment in a continuous quality improvement cycle.
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The Coalition Check-Up identifies and addresses coalition and implementation capacity deficiencies that frequently lead to failure, following recommendations from the audit and feedback literature.
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No Intervention: Technical assistance as usual
Coalitions in the comparison condition will receive a feedback report but no additional support from technical assistance providers beyond what is already available to them.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Cohesion
Time Frame: 3 years
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the extent to which coalition members perceived feelings of unity, group spirit, trust, and belonging within their coalition.
3 likert scale items range from 1 = strongly disagree to 5 = strongly agree
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3 years
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Efficiency
Time Frame: 3 years
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the work ethic, efficiency, and task focus of the coalition members.
3 likert scale items range from 1 = strongly disagree to 5 = strongly agree
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3 years
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Decentralization
Time Frame: 3 years
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a combination of hierarchy, connectedness, average path length and clustering.
Ranges from 0 (complete centralization) to 1 (complete decentralization).
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3 years
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Multiplexity
Time Frame: 3 years
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the number of unique types of cooperation or interaction each partner reported for a relationship with another partner (e.g., sharing information, personnel, monetary resources, or other cooperation).
Ranges from 0 (no multiplexity) to 4 (high multiplexity).
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3 years
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Intersectoral communication
Time Frame: 3 years
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respondents name individuals in the coalition to whom they went to for advice about coalition matters.
When an individual cited a person from a different sector as someone to whom they went for advice, that dyad is counted as an intersectoral tie.
The level of intersectoral communication for each coalition is measured as the coalition's mean number of intersectoral ties per respondent, which ranges from 0 (no intersectoral ties) to 5 (all intersectoral ties).
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3 years
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Evidenced-based program quantity
Time Frame: 3 years
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computed as the number of youth reached annually by all coalition-supported evidence-based programs
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3 years
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Evidence-based program implementation quality
Time Frame: 3 years
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a composite of 7 scales: a) Staff training (6 items); b) Staff motivation and competence (5 items); c) Fidelity monitoring (11 items); d) Evaluation (13 items); e) Dosage (2 items); f) Adherence (7 items); and g) Implementation barriers (11 items).
Scores range from 0 (low implementation quality) to 6 (high implementation quality).
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3 years
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Overall Evidence-based program sustainability
Time Frame: 3 years
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the sum number of years all EBPs are in operation during years 2-4 of the project, including both existing and new EBPs.
An EBP will be designated as non-operational when: a) it has no reach; or b) an absence of ongoing training or TA in the past 12 months and no funding available to support the program
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3 years
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Sustainability planning
Time Frame: 3 years
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the mean of 12 items about the completion of sustainability planning activities.
Ranges from 0 = no sustainability planning to 4 = extensive sustainability planning.
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3 years
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Dichotomized lifetime alcohol use
Time Frame: 3 years
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Past use of alcohol ever (yes = 1 / no = 0)
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3 years
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Dichotomized lifetime tobacco use
Time Frame: 3 years
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Past use of tobacco ever (yes = 1 / no = 0)
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3 years
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Dichotomized lifetime marijuana use
Time Frame: 3 years
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Past use of marijuana ever (yes = 1 / no = 0)
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3 years
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Dichotomized lifetime opioid use
Time Frame: 3 years
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Past use of prescription pain relievers without a doctor's orders or heroin ever (yes = 1 / no = 0)
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3 years
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Past 30-day alcohol use
Time Frame: 3 years
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Past 30-day use of alcohol (yes = 1 / no = 0)
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3 years
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Past 30-day tobacco use
Time Frame: 3 years
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Past 30-day use of tobacco (yes = 1 / no = 0)
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3 years
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Past 30-day marijuana use
Time Frame: 3 years
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Past 30-day use of marijuana (yes = 1 / no = 0)
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3 years
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Past 30-day opioid use
Time Frame: 3 years
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Past 30-day use of prescription pain relievers without a doctor's orders or heroin (yes = 1 / no = 0)
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3 years
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Sarah M Chilenski, PhD, Penn State University
- Principal Investigator: Louis D Brown, PhD, The University of Texas Health Science Center, Houston
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- HSC-SPH-19-0033
- R01DA045815 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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