The Use of Traditional Media for Public Communication about Medicines: A Systematic Review of Characteristics and Outcomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A systematic review was conducted to identify, appraise, and synthesize data from original research investigating the use of traditional media for public communication about medicines. Databases were searched for studies conducting quantitative or qualitative analyses between the years 2007 and 2017. Data extraction and assessment of the quality of the resulting studies was conducted by one reviewer and checked for accuracy by a second reviewer. A total of 57 studies met the inclusion criteria. Studies were grouped as follows: "newspapers and other print media" (n = 42), "television" (n = 9), and "radio and a combination of media" (n = 6). Content analysis (n = 34) was the most frequent research design, followed by surveys or interviews (n = 14) and randomized controlled trials (RCTs) (n = 9). Advertising, public awareness, and health administration were the most common themes, and the medicines most analyzed were vaccines, particularly human papillomavirus (HPV) and influenza. Studies conducted in the United States were the most frequent, followed by other high-income countries such as Canada and the United Kingdom. The lack of consistent studies of the effects of media campaigns stresses the importance of the use of standardized research methodologies. Theoretical and practical implications of the findings for further research are discussed.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.090 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it