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Record W2946883528 · doi:10.2196/12389

Web-Based Prescription Opioid Abuse Prevention for Adolescents: Program Development and Formative Evaluation

2019· article· en· W2946883528 on OpenAlexvenueno aff
Sarah K. Moore, Michael Grabinski, Sarah Y. Bessen, Jacob T. Borodovsky, Lisa A. Marsch

Bibliographic record

VenueJMIR Formative Research · 2019
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
FundersNational Institute on Drug AbuseDartmouth College
KeywordsSubstance abuse preventionSubstance abuseFormative assessmentMedicineOpioid use disorderMedical prescriptionIntervention (counseling)Web applicationPrevention sciencePsychologyOpioidPsychiatryNursingWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: The unprecedented number of youths engaged in nonmedical use of prescription opioids (POs), as well as the myriad negative consequences of such misuse, emphasizes the importance of prevention efforts targeting this public health crisis. Although there are several science-based, interactive drug abuse prevention programs focused on preventing the use of nonprescription drugs in youths, to our knowledge, there are no science-based interactive programs that focus on the prevention of PO abuse among adolescents. OBJECTIVE: The aim of this study was to develop and conduct a formative evaluation of a science-based interactive Web-based program focused on the prevention of PO abuse among adolescents aged 12 to 17 years (Pop4Teens). This study was conducted to prepare for a randomized controlled trial designed to evaluate the effectiveness of Pop4Teens compared with an active control website, JustThinkTwice.com (Drug Enforcement Administration), in impacting knowledge and attitudes about POs and perceptions of risk associated with the abuse of POs, as well as intentions to use and actual use of POs. METHODS: We conducted 6 focus groups with 30 youths (a mean of 5 per group: the eligibility being aged 12-19 years) along a continuum of exposure to POs (in treatment for opioid use disorder, in general treatment for other substance use disorder, prescribed an opioid, and opioid-naïve) and writing sessions with 30 youths in treatment for opioid use disorder (12-19 years) to inform the development of the Web-based prevention tool. Feasibility and acceptability of a prototype of the Web-based intervention were then assessed through individual feedback sessions with 57 youths (drawn from the same populations as the focus groups). RESULTS: We successfully completed the development of a Web-based PO abuse prevention program (Pop4Teens). Analyses of focus group transcripts informed the development of the program (eg, quiz content/format, script writing, and story editing). Selected writing session narratives anchored the planned scientific content by lending credibility and informing the development of compelling storylines intended to motivate the youth to engage with the program. Feedback session data indicated that the Web-based tool could be potentially useful and acceptable. In addition, feedback session participants demonstrated significant increases in their knowledge of key topics related to the prevention of PO abuse after the exposure to sections of the Web-based program. CONCLUSIONS: The opioid crisis is predicted to get worse before it gets better. An effective response will likely require a multipronged strategy inclusive of effective evidence-based prevention programs acceptable to, and accessible by, a majority of youths.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.429
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2019
Admission routes1
Has abstractyes

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