Improving access to quality contraceptive counselling in community pharmacy: examining the knowledge, attitudes and practices of community pharmacists in Australia
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
BACKGROUND: Across most of Australia, the role of community pharmacists in contraceptive care has been unchanged since 2004. To understand their current scope of practice and potential for practice advancements, we examined community pharmacists' contraceptive knowledge and their attitudes, practices and perceived barriers to and benefits of contraceptive counselling provision. METHODS: , linear regression) and non-parametric (Mann-Whitney, logistic regression) tests were computed for the outcomes: practices, knowledge (reported and tested), confidence, attitudes, barriers and benefits. RESULTS: Eligible responses were received from 366 pharmacies (19%). Pharmacists' median age was 34. Most (85% of) pharmacists agreed that contraceptive counselling fits within their current professional activities and emphasised benefits to their patients, including improved access to contraceptive decision support (80%), as being key motivators of counselling. A lack of payment mechanisms (66%), training opportunities (55%) and technical assistance tools (54%) were the most important barriers. Self-rated knowledge and confidence were highest for combined oral contraceptive pills and lowest for the copper intrauterine device (IUD). When tested, pharmacists were very knowledgeable about method, dosage, frequencies and costs, and relatively less knowledgeable about side-effects and IUD suitability for adolescents. CONCLUSIONS: Community pharmacists provide contraceptive information and counselling but lack the necessary resources and support to be able to consistently provide quality, person-centred care. Remuneration mechanisms, training opportunities and pharmacy-specific professional resources need to be explored.
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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 | 0.030 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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