One-Stop Dispensing:Hospital Costs and Patient Perspectives on Self-Management of Medication

(1) Objective: To assess hospital medication costs and staff time between One-Stop Dispensing (OSD) and the Traditional Medication System (TMS), and to evaluate patient perspectives on OSD. (2) Methods: The study was conducted at Hvidovre Hospital, University of Copenhagen, Denmark in an elective gastric surgery and acute orthopedic surgery department. This study consists of three sub-studies including adult patients able to self-manage medication. In Sub-study 1, staff time used to dispense and administer medication in TMS was assessed. Medication cost and OSD staff time were collected in Sub-study 2, while patient perspectives were assessed in Sub-study 3. Medication costs with two days of discharge medication were compared between measured OSD cost and simulated TMS cost for the same patients. Measured staff time in OSD was compared to simulated staff time in TMS for the same patients. Patient satisfaction related to OSD was evaluated by a questionnaire based on a five-point Likert scale (‘very poor’ (1) to ‘very good’ (5)). (3) Results: In total, 78 elective and 70 acute OSD patients were included. Overall, there was no significant difference between OSD and TMS in medication cost per patient ($2.03 [95% CI −0.57–4.63]) (p = 0.131). Compared with TMS, OSD significantly reduced staff time by an average of 12 min (p ≤ 0.001) per patient per hospitalization. The patients’ satisfaction for OSD was high with an average score of 4.5 ± 0.7. (4) Conclusion: There were no differences in medication costs, but staff time was significantly lower in OSD and patients were overall satisfied with OSD

Creatinine-based renal function estimates and dosage of postoperative pain management for elderly acute hip fracture patients

Many analgesics and their metabolites are renally excreted. The widely used Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)-estimated glomerular filtration rate (eGFR) equations are not developed for use in the elderly, while the recent Berlin Initiative Study (BIS), Full Age Spectrum (FAS), and Lund-Malmö revised (LMR) equations are. This observational study investigated differences between creatinine-based eGFR equations and how the choice of equation influences dosage of analgesics in elderly (≥70 years) patients admitted with acute hip fracture. eGFR was calculated by the CKD-EPI, BIS, Cockcroft-Gault (CG), FAS, LMR, and Modification of Diet in Renal Disease (MDRD) equations. Standard daily dose for postoperative pain medications ibuprofen, morphine and gabapentin was simulated for each equation according to dosage recommendations in Renbase®. For 118 patients, mean eGFR from the CKD-EPI, BIS, CG, FAS, LMR, and MDRD equations was 67.3 mL/min/1.73 m2, 59.1 mL/min/1.73 m2, 56.9 mL/min/1.73 m2, 60.3 mL/min/1.73 m2, 58.9 mL/min/1.73 m2, and 79.1 mL/min/1.73 m2, respectively (p < 0.0001). Mean difference to CKD-EPI was −10.4 mL/min/1.73 m2 to 11.8 mL/min/1.73 m2. Choice of eGFR equation significantly influenced the recommended dose (p < 0.0001). Shifting to BIS, FAS, or LMR equations led to a lower recommended dose in 20% to 31% of patients. Choice of eGFR equation significantly influenced dosing of ibuprofen, morphine, and gabapentin

One-Stop Dispensing: Hospital Costs and Patient Perspectives on Self-Management of Medication

(1) Objective: To assess hospital medication costs and staff time between One-Stop Dispensing (OSD) and the Traditional Medication System (TMS), and to evaluate patient perspectives on OSD. (2) Methods: The study was conducted at Hvidovre Hospital, University of Copenhagen, Denmark in an elective gastric surgery and acute orthopedic surgery department. This study consists of three sub-studies including adult patients able to self-manage medication. In Sub-study 1, staff time used to dispense and administer medication in TMS was assessed. Medication cost and OSD staff time were collected in Sub-study 2, while patient perspectives were assessed in Sub-study 3. Medication costs with two days of discharge medication were compared between measured OSD cost and simulated TMS cost for the same patients. Measured staff time in OSD was compared to simulated staff time in TMS for the same patients. Patient satisfaction related to OSD was evaluated by a questionnaire based on a five-point Likert scale (‘very poor’ (1) to ‘very good’ (5)). (3) Results: In total, 78 elective and 70 acute OSD patients were included. Overall, there was no significant difference between OSD and TMS in medication cost per patient ($2.03 [95% CI −0.57–4.63]) (p = 0.131). Compared with TMS, OSD significantly reduced staff time by an average of 12 min (p ≤ 0.001) per patient per hospitalization. The patients’ satisfaction for OSD was high with an average score of 4.5 ± 0.7. (4) Conclusion: There were no differences in medication costs, but staff time was significantly lower in OSD and patients were overall satisfied with OSD

Incidence of hospital contacts with acute kidney injury after initiation of second-generation antipsychotics in older adults:a Danish population-based cohort study

PURPOSE: To investigate the association between acute kidney injury (AKI) and use of second-generation antipsychotics (SGA) in older adults. METHODS: In a population-based cohort study using Danish national registries, new users of SGAs (aged ≥ 65) were identified during 2005–2015. Each SGA user was matched to 10 population controls on age, sex, and the SGA initiation date. The outcome was incident AKI within 90 days after the index date. Cox regression was used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS: In the study, 36,581 new SGA users and 365,810 controls were included. The 90-day incidence rate of AKI was 4.38 and 1.70 per 1000 person-years among SGA users and controls, respectively, corresponding to a crude HR of 2.57 (1.79–3.68). The fully adjusted HR (aHR) was 1.43 (0.89–2.27) for all SGAs. The risk differed among individual drugs with aHRs for olanzapine 3.50 (1.20–10.23), quetiapine 1.62 (0.81–3.26), and risperidone 0.68 (0.28–1.64). In sensitivity analyses, the aHR declined to 1.24 (0.95–1.61) at 1-year follow-up. CONCLUSIONS: Olanzapine use was associated with a significantly increased 90-day AKI risk. For quetiapine, the risk was elevated but not significant, and risperidone had no association. CIs were wide and confounder adjustment largely impacted the estimates. Main limitations included residual confounding and incomplete recording of AKI diagnoses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00228-022-03339-6

Use of drugs with pharmacogenomics (PGx)-based dosing guidelines in a Danish cohort of persons with chronic kidney disease, both on dialysis and not on dialysis: Perspectives for prescribing optimization

AIM: The objective of this registry study is to assess the utilization of pharmacogenomic (PGx) drugs among patients with chronic kidney disease (CKD).METHODS: This study was a retrospective study of patients affiliated with the Department of Nephrology, Aalborg University Hospital, Denmark in 2021. Patients diagnosed with CKD were divided into CKD without dialysis and CKD with dialysis. PGx prescription drugs were retrieved from the Patient Administration System. Actionable dosing guidelines (AG) for specific drug-gene pairs for CYP2D6, CYP2C9, CYP2C19 and SLCO1B1 were retrieved from the PharmGKB homepage.RESULTS: Out of 1241 individuals, 25.5% were on dialysis. The median number of medications for each patient was 9 within the non-dialysis group and 16 within the dialysis group. Thirty-one distinct PGx drugs were prescribed. Altogether, 76.0% (943 individuals) were prescribed at least one PGx drug and the prevalence of prescriptions of PGx drugs was higher in the dialysis group compared to the non-dialysis group. The most frequently prescribed drugs with AG were metoprolol, pantoprazole, atorvastatin, simvastatin and warfarin.CONCLUSION: This study demonstrated that a substantial proportion of patients with CKD are exposed to drugs or drug combinations for which there exists AG related to PGx of CYP2D6, CYP2C19, CYP2C9 and SLCO1B1.</p