RESUMEN
This retrospective cohort study aimed to compare post-surgical opioid consumption before and after a PCA (patient-controlled analgesia) shortage. The study evaluated patients who received PCA vs. nurse-administered opioid analgesia (non-PCA). Two hundred and twenty-four patients ≥18 years who were initiated on analgesia within 24 h of surgery were included. The primary outcome was opioid consumption in average daily oral morphine milliequivalents (MME). The results showed that patients in the PCA group had increased MME consumption (162 ± 100.4 vs. 70.7 ± 52.8, p < 0.01), increased length of hospital stay (4.2 vs. 3.2 days, p < 0.01), and increased frequency of nausea (33 vs. 17.9%, p < 0.01). After controlling for confounding factors, the PCA group utilized significantly more opioids (84.6 MME/day, p < 0.01) than the non-PCA group. There was no difference in pain AUC/T (0.19 ± 0.07 vs. 0.21 ± 0.08, p = 0.07) and average opioid prescribing upon discharge (150 [77.5-360] vs. 90 [77.5-400], p = 0.64) between the PCA group and non-PCA group, respectively. These results question the routine use of PCA in post-operative patients due to the increased risk of opioid consumption, longer length of hospital stay, and higher incidence of nausea.
Asunto(s)
Analgesia Controlada por el Paciente , Analgésicos Opioides , Humanos , Analgesia Controlada por el Paciente/métodos , Estudios Retrospectivos , Dolor Postoperatorio/tratamiento farmacológico , Pautas de la Práctica en Medicina , Morfina , Náusea/inducido químicamenteRESUMEN
PURPOSE: To evaluate the impact of a newly implemented clinical decision support (CDS) tool targeting QT interval-prolonging medications on order verification and provider interventions. METHODS: A multicenter, retrospective quasi-experimental study was conducted to evaluate provider response to CDS alerts triggered during ordering of QT-prolonging medications for adult patients. The primary outcome was the proportion of orders triggering QTc alerts that were continued without intervention during a specified preimplementation phase (n = 49) and during a postimplementation phase (n = 100). Patient risk factors for QTc prolongation, provider alert response, and interventions to reduce the risk of QTc-associated adverse events were evaluated. RESULTS: The rate of order continuation without intervention was 82% in the preimplementation phase and 37% in the postimplementation phase, representing an 55% reduction in continued verified orders following implementation of the QT-focused CDS tool. Most alerts were initially responded to by the prescriber, with pharmacist intervention needed in only 33% of cases. There were no significant differences in patient QTc-related risk factors between the 2 study groups (P = 0.11); the postimplementation group had a higher proportion of patients using at least 2 QTc-prolonging medications (48%, compared to 26% in the preimplementation group; P = 0.02). CONCLUSION: Implementation of the CDS tool was associated with a reduction in the proportion of orders continued without intervention in patients at high risk for QTc-related adverse events.
Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas , Síndrome de QT Prolongado/inducido químicamente , Pautas de la Práctica en Medicina , Anciano , Femenino , Hospitales Universitarios , Humanos , Síndrome de QT Prolongado/prevención & control , Masculino , Michigan , Servicio de Farmacia en Hospital , Estudios RetrospectivosRESUMEN
Background: Heart failure (HF) transition of care (TOC) programs may improve continuity of care and coordination and decrease hospital readmissions. Objective: This study evaluated the impact of pharmacy-led HF TOC on HF readmission rate. Methods: This was a single-center, pre-post quasi-experimental study. Pharmacy TOC comprised admission and discharge medication reconciliations and patient education. Patients were included if they had a primary HF diagnosis. Patients were excluded if they were admitted for a non-HF diagnosis, admitted for <24 hours, had a stage IV cancer or dementia diagnosis, or were transferred to hospice care. The primary outcome was HF 30-day readmission rate. Results: A total of 663 patients were included in the study: 330 in the control group and 333 in the intervention group. The average age for both groups was 67 ± 16 years; 48.1% were female; 56.9% were African American; and 51.4% of patients had an ejection fraction ≤40%. In the control group, 57 (17.3%) patients had a HF 30-day readmission compared with 35 (10.5%) patients in the intervention group. After adjusting for age, the intervention group continued to show a difference in readmission (odds ratio = 0.578; 95% CI = 0.367-0.911; P = 0.018). The most common interventions were medication addition (11%), dose titration (7.5%), medication discontinuation (6.6%), and duplication avoidance (2.7%). Conclusion and Relevance: Pharmacy-led HF TOC, as a component of a targeted hospital-based initiative, significantly decreased HF 30-day readmission rate. Results from this study warrant further research to explore which interventions in TOC are most effective.