Sexual and reproductive health services provided by community pharmacists: a scoping review
Bibliographic record
Abstract
OBJECTIVES: Pharmacists are increasingly providing patient-focused services in community pharmacies, including in the area of sexual and reproductive health (SRH). Specific SRH areas have been the focus of research, but a broader perspective is needed to position pharmacists as SRH providers. This review explored research that described and evaluated professional pharmacy services across a broad range of SRH areas. DESIGN: Scoping review DATA SOURCES: Medline, EMBASE, CINAHL, Web of Science, Scopus and Cochrane Library (January 2007-July 2020). STUDY SELECTION: Studies reporting on the description and evaluation of professional pharmacy SRH services provided by community pharmacists. DATA EXTRACTION: Two investigators screened studies for eligibility, and one investigator extracted the data. Data were analysed to primarily describe professional pharmacy services and intervention outcomes. RESULTS: Forty-one studies were included. The main SRH areas and professional pharmacy services reported were sexually transmitted and bloodborne infections (63%) and screening (39%), respectively. Findings showed that pharmacists' delivery of SRH services was feasible, able to reach vulnerable and high-risk groups, and interventions were highly accepted and valued by users. However, integration into daily workflow, pharmacist remuneration, cost and reimbursement for patients, and policy regulations were some of the barriers identified to implementing SRH services. Studies were primarily in specific areas such as chlamydia screening or hormonal contraception prescribing, while studies in other areas (ie, medical abortion provision, long-acting reversible contraception prescribing and vaccine delivery in pregnant women) were lacking. CONCLUSION: This scoping review highlights the expansion of pharmacists' roles beyond traditional product-focused services in a number of SRH areas. Given the potential feasibility, users' acceptability and reach, pharmacists are ideally situated to enhance SRH care access. Future research describing implementation and evaluation of professional pharmacy services in all SRH areas is needed to promote access to these services through community pharmacies and position pharmacists as SRH providers worldwide.
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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 | 0.010 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.016 | 0.023 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".