PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 2, 2026Journal of Pharmaceutical Health Care and Sciences0 citationsOpen Access

Contribution of pharmacist intervention to postoperative nausea and vomiting prophylaxis in routine multidisciplinary practice: a retrospective observational study

KSKotaro SatoSSShinya SUZUKITKTakuma Koinuma

Key Points

  • This study aims to evaluate the effectiveness of a pharmacist-led intervention in reducing postoperative nausea and vomiting (PONV) among surgical patients.
  • Developed a pharmacist-led multidisciplinary PONV prevention protocol based on U.S. guidelines.
  • Conducted a retrospective observational study with 110 pre-intervention and 255 post-intervention patients.
  • Used propensity score matching (PSM) and conditional logistic regression for analysis.
  • Pharmacist-led intervention significantly reduced PONV occurrence (odds ratio [OR] 0.308, 95% CI 0.139–0.680).
  • Prophylactic agent use increased significantly post-intervention (OR 3.95, 95% CI 2.43–6.54).
  • Dexamethasone and 5-HT₃ receptor antagonists showed the largest increases in use (OR 5.92 and OR 4.98, respectively).

Abstract

Abstract Background Postoperative nausea and vomiting (PONV) is a common surgical complication that delays recovery and increases healthcare costs. Although U.S. guidelines recommend multimodal, risk-stratified prophylaxis, Japan lacks unified national guidelines, resulting in practice variation. Despite expanded insurance coverage for 5-HT₃ receptor antagonists, sustained adherence to best practices requires a multidisciplinary framework. We implemented a pharmacist-led, multidisciplinary PONV prevention protocol and evaluated its impact on PONV incidence among adults undergoing elective surgery across multiple specialties. Methods We developed a pharmacist-led multidisciplinary PONV prevention protocol based on U.S. guideline algorithms, recommending ≥ 2 and ≥3 prophylactic agents for medium- and high-risk patients, respectively. Pharmacists in the admission support center collected preoperative risk factors, while operating room pharmacists relayed assessments to anesthesiologists and nurses. We conducted a retrospective observational study of patients aged ≥ 18 years undergoing elective gastrointestinal or gynecological surgery under general anesthesia. We compared 110 and 255 patients in the pre- and post-intervention groups, respectively, focusing on patients at medium to high risk. For primary analysis, we performed 1:1 propensity score matching (PSM) using five covariates to control for confounding. Conditional logistic regression evaluated intervention effects while accounting for the matched design. Results The final analysis included 106 controls and 243 intervention patients. PSM produced 103 well-balanced matched pairs (standardized differences < 0.1). Conditional logistic regression showed that the pharmacist-led intervention significantly reduced PONV occurrence (odds ratio OR 0.308, 95% confidence interval CI, 0.139–0.680). Prophylactic agent use increased significantly after the intervention (OR 3.95, 95% CI 2.43–6.54), with dexamethasone (OR 5.92, 95% CI 3.03–11.60) and 5-HT₃ receptor antagonists (OR 4.98, 95% CI 2.69–9.22) showing the largest increases. Dopamine antagonists and total intravenous anesthesia administration also showed upward trends, though without statistical significance. Conclusions The implementation of a pharmacist-led multidisciplinary PONV prevention protocol was associated with a lower incidence of PONV in medium- to high-risk patients. Pharmacist-conducted preoperative risk assessment improved the implementation of risk-based prophylaxis within a multidisciplinary framework. These findings suggest that pharmacist-driven collaborative approaches may facilitate more consistent PONV prophylaxis in clinical settings lacking unified guidelines.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sato et al. (2026) studied this question.

synapsesocial.com/papers/6a1e732830b38c64201b65e8https://doi.org/10.1186/s40780-026-00590-2
Ask AI
Helpful
Bookmark
Share
View Full Paper