Mothers' beliefs about analgesia during childhood immunization
Bibliographic record
Abstract
BACKGROUND: Immunization injections are the most common painful medical procedures experienced during childhood, yet there is a discrepancy between recommendations for the effective use of topical anesthetics to reduce vaccine injection pain and actual practice. OBJECTIVE: To improve our understanding of mothers' experiences and practices regarding their children's routine immunizations. METHOD: Adopting an interpretive, naturalistic paradigm, semi-structured interviews were conducted with 15 mothers to examine their perceptions and experiences of their children's immunization pain and pain management. RESULTS: The findings demonstrated three main themes: attitudes toward immunization pain, immunization pain management and physicians as sources of information. Participants described feeling distressed while their children were being immunized, but most managed these difficulties by focusing on the benefits of immunization and by minimizing or justifying the pain. All of the participants used non-pharmacological techniques to manage immunization injection pain. Few mothers were aware of the availability of topical anesthetics. When participants did use pharmacological analgesic approaches, oral analgesics were most likely to be used for prophylaxis and treatment of fever, and participants were unaware of evidence-based approaches to managing pain. Participants viewed their physicians as trusted sources of information, and the majority said that they would likely use a topical anesthetic in the future if recommended or approved by their physician. CONCLUSION: The present findings provide direction for future knowledge translation activities to enhance the knowledge of mothers and clinicians regarding pain during immunization injections and its effective management.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".