Formative Evaluation to Build an Online Parenting Skills and Youth Drug Prevention Program: Mixed Methods Study
Bibliographic record
Abstract
BACKGROUND: Family-based drug prevention programs that use group-based formats with trained facilitators, such as the Strengthening Families Program (SFP), are effective in preventing underage drinking and youth drug use. However, these programs are resource-intensive and have high costs and logistical demands. Tailoring them for Web-based delivery is more cost-effective and makes it easier to scale these programs for widespread dissemination. This requires the active involvement of all key stakeholders to determine content and delivery format. OBJECTIVE: The aim was to obtain consumer, agency stakeholder, and expert input into the design of a Web-based parenting skills training and youth drug prevention program. METHODS: We conducted 10 focus groups with 85 adults (range 4-10, average 8 per group), 20 stakeholder interviews with family services agency staff, and discussed critical design considerations with 10 prevention scientists and e-learning experts to determine the optimal program content and technology features for SFP Online. Focus group participants also answered survey questions on perceived barriers to use, desired navigational features, preferred course format, desired content, preferred reward structures, course length, interactive components, computer efficacy, and technology use. Descriptive statistics were used to examine consumer characteristics; linear regression was used to examine relations between SFP exposure and four continuous outcome measures, including desired program content, interactive technology, and concerns that may inhibit future use of SFP Online. Logistic regression was used as a binary measure of whether consumers desired fun games in the SFP Online program. RESULTS: Three broad thematic categories emerged from the qualitative interviews enumerating the importance of (1) lesson content, (2) logistics for program delivery, and (3) multimedia interactivity. Among the many significant relations, parents who viewed more SFP lessons reported more reasons to use an online program (beta=1.48, P=.03) and also wanted more interactivity (6 lessons: beta=3.72, P=.01; >6 lessons: beta=2.39, P=.01), parents with less interest in a mixed delivery format (class and online) reported fewer reasons to use the online program (beta=-3.93, P=.01), comfort using computers was negatively associated with concerns about the program (beta=-1.83, P=.01), having mobile phone access was related to fewer concerns about online programs (beta=-1.63, P=.02), willingness to view an online program using a mobile phone was positively associated with wanting more online components (beta=1.95, P=.02), and parents who wanted fun games wanted more interactivity (beta=2.28, P=.01). CONCLUSIONS: Formative evaluation based on user-centered approaches can provide rich information that fuels development of an online program. The user-centered strategies in this study lay the foundation for improving SFP Online and provide a means to accommodate user interests and ensure the product serves as an effective prevention tool that is attractive to consumers, engaging, and can overcome some of the barriers to recruitment and retention that have previously affected program outcomes in family-based prevention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.064 | 0.065 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".