Factors affecting adoption and implementation of a community-based children's mental health program: the Tapp-C example
Bibliographic record
Abstract
While the efficacy of a number of interventions for various children's mental health problems has been established in academic and research laboratories, these interventions are not widely used in community children's mental health centers. Indeed, this "research-practice gap" in children's mental health service has been identified as one of the most pressing issues facing children's mental health. The present study examined the adoption, implementation, and adaptation of The Arson Prevention Program for Children (TAPP-C) by professionals in applied community settings. TAPP-C is collaborative, community-based assessment and intervention program for juvenile firesetters that was developed at a teaching hospital and disseminated to community-based settings throughout Ontario, Canada. Questionnaire data were gathered from community professionals, including children's mental health professionals and fire service professionals, who had attended educational events offered by TAPP-C. Questionnaire data were also gathered from administrators of the community agencies affiliated with these professionals. These data were used to evaluate the effects of the following factors on program adoption, level of use, and fidelity: (a) characteristics of the adopter, including innovativeness, concern about juvenile firesetting, self-efficacy for addressing firesetting, and attitudes toward TAPP-C; (b) characteristics of the program, including perceived complexity, perceived compatibility with existing practice and perceived relative advantage over existing practice; (c) dissemination experiences, including exposure to TAPP-C educational strategies and perceived availability of TAPP-C expert consultation; and (d) perceived inter-organization collaboration in the local community. Results indicated that adoption of TAPP-C was primarily related to perceived characteristics of the innovation and dissemination experiences. Level of use of TAPP-C, on the other hand, was primarily related to the respondents' self-efficacy for addressing firesetting, their dissemination experiences, and their perception of inter-organization collaboration in their local community. Interestingly, the majority of community professionals reported high levels of implementation fidelity. The implications of these findings for closing the research-practice gap in children's mental health are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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 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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".