Impact of pharmacist interventions provided in the emergency department on quality use of medicines: a systematic review and meta-analysis
Bibliographic record
Abstract
Background Pharmacists have an increasing role as part of the emergency department (ED) team. However, the impact of ED-based pharmacy interventions on the quality use of medicines has not been well characterised. Objective This systematic review aimed to synthesise evidence from studies examining the impact of interventions provided by pharmacists on the quality use of medicines in adults presenting to ED. Methods A systematic literature search was conducted in MEDLINE, EMBASE and CINAHL. Two independent reviewers screened titles/abstracts and reviewed full texts. Studies that compared the impact of interventions provided by pharmacists with usual care in ED and reported medication-related primary outcomes were included. Cochrane Risk of Bias-2 and Newcastle-Ottawa tools were used to assess the risk of bias. Summary estimates were pooled using random-effects meta-analysis, along with sensitivity and sub-group analyses. Results Thirty-one studies involving 13 242 participants were included. Pharmacists were predominantly involved in comprehensive medication review, advanced pharmacotherapy assessment, staff and patient education, identification of medication discrepancies and drug-related problems, medication prescribing and co-prescribing, and medication preparation and administration. The activities reduced the number of medication errors by a mean of 0.33 per patient (95% CI −0.42 to −0.23, I 2 =51%) and the proportion of patients with at least one error by 73% (risk ratio (RR)=0.27, 95% CI 0.19 to 0.40, I 2 =85.3%). The interventions were also associated with more complete and accurate medication histories, increased appropriateness of prescribed medications by 58% (RR=1.58, 95% CI 1.21 to 2.06, I 2 =95%) and quicker initiation of time-critical medications. Conclusion The evidence indicates improved quality use of medicines when pharmacists are included in ED care teams. PROSPERO registration number CRD42020165234.
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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 | 0.017 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.045 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".