Evidence map›Paper›PMID 37923885›Full record

Trial reportPrevention science : the official journal of the Society for Prevention Research2024

Mixed Methods Evaluation of Satisfaction with Two Culturally Tailored Substance use Prevention Programs for American Indian/Alaska Native Emerging Adults.

Alina I Palimaru, Ryan A Brown, Daniel L Dickerson, David Kennedy, Carrie L Johnson, Elizabeth J D'Amico

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Prevention science : the official journal of the Society for Prevention Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. 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

6 authors at 1 institution in 1 country.

Alina I PalimaruRAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA. palimaru@rand.org.ORCID 0000-0002-2777-4079
Ryan A BrownRAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.ORCID 0000-0002-7960-9518
Daniel L DickersonUCLA Integrated Substance Abuse Program, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA.
David KennedyRAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
Carrie L JohnsonSacred Path Indigenous Wellness Center, Los Angeles, CA, USA.
Elizabeth J D'AmicoRAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.ORCID 0000-0002-8527-7804
RAND Corporation · US

Funding

Development and Implementation of a Culturally Centered Opioid Prevention Intervention for American Indian/Alaska Native Young Adults in CaliforniaUH3DA050235 · NIDA · RAND CORPORATION · PI D'AMICO, ELIZABETH J., DICKERSON, DANIEL LEE · 2020 to 2023
$5.3M
Development and Implementation of a Culturally Centered Opioid Prevention Intervention for American Indian/Alaska Native Young Adults in CaliforniaUG3DA050235 · NIDA · RAND CORPORATION · PI D'AMICO, ELIZABETH J., DICKERSON, DANIEL LEE · 2019 to 2019
$566k
NIDA NIH HHS UG3 DA050235NIDA NIH HHS UG3DA050235NIDA NIH HHS UH3 DA050235
6 · The paper itself

Abstract

American Indian/Alaska Native (AI/AN) communities are disproportionately affected by the opioid epidemic. AI/AN emerging adults (ages 18-25) in urban areas are at particularly high risk, with the overdose death rate among urban-dwelling AI/AN people 1.4 times higher than rural-dwelling AI/AN people. Despite these challenges, there are no evidence-based culturally tailored prevention or intervention programs to address opioid, alcohol and other drug use among urban AI/AN emerging adults. This study focused on understanding AI/AN emerging adults' experiences with two culturally tailored programs addressing opioid, cannabis, and alcohol use as part of the randomized controlled trial for Traditions and Connections for Urban Native Americans (TACUNA) in order to enhance feasibility of this intervention. Using a convergent mixed methods design at 3-month follow-up, we collected satisfaction and experience ratings and written narratives (total n = 162; intervention n = 77; control n = 85) from a sample of urban-dwelling AI/AN emerging adults who participated in both programs. We analyzed data through simultaneous examination of qualitative and quantitative data. The quantitative ratings show that both programs were rated highly. The qualitative data contextualized these ratings, illustrating pathways through which specific components were perceived to cause desired or observed behavioral change in participants. Among the elements that mattered most to these participants were the convenience of the virtual format, having a comfortable and safe space to share personal stories, and learning new information about their social networks. Negative comments focused on workshop length and inconvenient scheduling. This is one of the first studies to explore participant satisfaction and experience with culturally tailored substance use programming among a historically marginalized and understudied population. It is important to consider the voices of urban-dwelling AI/AN people in program development because hidden factors, such as limited financial resources, limited time, and misalignment with cultural values may prevent existing programs from being feasible.

Indexed as

American Indian or Alaska NativePatient SatisfactionSubstance-Related DisordersAdolescentAdultAnalgesics, OpioidHumansYoung AdultAnalgesics, OpioidCommunity-based participatory researchEmerging adultsNative AmericanSubstance use prevention/interventionUrban

Identifiers

PMID37923885
PMCPMC10891245
OpenAlexW4388344902

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.