| Literature DB >> 35349045 |
Althea Han1,2, Nicole Yvonne Nguyen3,4, Nancy Hung3,4, Salem Kamalay3,4.
Abstract
PURPOSE: To evaluate the impact of a bariatric clinic-based pharmacist on inpatient length of stay, medication errors, and patient experience.Entities:
Keywords: Bariatric surgery; Medication management; Patient satisfaction; Pharmacist; Pharmacotherapy
Mesh:
Year: 2022 PMID: 35349045 PMCID: PMC9273558 DOI: 10.1007/s11695-022-06022-y
Source DB: PubMed Journal: Obes Surg ISSN: 0960-8923 Impact factor: 3.479
Fig. 1Patient group assignments: all patients meeting inclusion criteria were assigned to either intervention group or control group based on whether or not they received pre-operative pharmacist consultation
Baseline characteristics at time of surgery
| Measure | Control, | Intervention, |
|---|---|---|
| Age (years), mean (SD) | 47.7 (12.3) | 48.9 (11.6) |
| Weight (kg), mean (SD) | 120.3 (21.4) | 122.1 (22.6) |
| Calculated BMI (kg/m2), median (IQR) | 41.8 (39.7, 46.8) | 41.7 (38.6, 47.4) |
| ASA category, median (IQR) | 3.0 (2.0, 3.0) | 3.0 (2.0, 3.0) |
| Calculated length of surgery (min), median (IQR) | 116.0 (92.0, 153.0) | 107.5 (81.0, 135.0) |
| By sleeve gastrectomy | 92.0 (76.0, 104.0) | 81.0 (73.0, 97.0) |
| By Roux-en-Y gastric bypass | 151.0 (121.0, 180.0) | 141.0 (126.0, 163.0) |
| Laparoscopic, | 67 (100%) | 68 (100%) |
| Robot-assisted, | 4 (6%) | 4 (6%) |
| Surgeon | ||
| Surgeon A, | 24 (36%) | 26 (38%) |
| Surgeon B, | 24 (36%) | 23 (34%) |
| Surgeon C, | 19 (28%) | 19 (28%) |
| Surgery: sleeve gastrectomy, | 34 (51%) | 29 (43%) |
| Roux-en-Y gastric bypass, | 33 (49%) | 39 (57%) |
| Discharge day of week: weekday, | 35 (52%) | 31 (46%) |
| Year of surgery | ||
| 2015, | 22 (33%) | 0 (0%) |
| 2016, | 22 (33%) | 0 (0%) |
| 2017, | 23 (34%) | 0 (0%) |
| 2018, | 0 (0%) | 68 (100%) |
| Comorbidities | ||
| Documented infection within 30 days post-op, | 9 (13%) | 6 (9%) |
| Diabetes, | 23 (34%) | 27 (40%) |
| Hypertension, | 36 (54%) | 41 (60%) |
| Sleep apnea, | 27 (40%) | 35 (51%) |
| Bleeding disorders, | 1 (1%) | 1 (1%) |
| Chronic renal disease, | 5 (7%) | 5 (7%) |
| Hemodialysis, | 2 (3%) | 3 (4%) |
| Chronic liver disease, | 2 (3%) | 5 (7%) |
| Heart failure, | 2 (3%) | 5 (7%) |
| MI/stroke/PVD, | 1 (1%) | 3 (4%) |
| Chronic pain, | 38 (57%) | 35 (51%) |
| Pre-transplant, | 2 (3%) | 5 (7%) |
| History of transplant, | 4 (6%) | 4 (6%) |
Abbreviations: BMI body mass index, ASA American Society of Anesthesiologists, IQR interquartile range, MI myocardial infarction, PTA prior to admission, PVD peripheral vascular disease, SD standard deviation
Fig. 2Boxplot of hospital length of stay by group: distribution of hospital length of stay in hours between intervention group and control group
Fig. 3Types of high-risk PTA medications: proportion of historical control cases (in blue) and intervention group (in orange) with high-risk medications listed on their PTA medication list. For the intervention group represented in this figure, high-risk medications are based on updated medication lists after the clinic pharmacist’s medication reconciliation
Types and total count of pharmacist interventions at time of consultation in the intervention group (n = 68)
| Pre-operative management | Post-operative management |
|---|---|
•Dose change: 11 (16%) •Taper: 9 (13%) •Other interventionsa: 8 (12%) •Monitoring: 7 (10%) | •New medication counseling: 68 (100%) •Admin instruction change: 58 (85%) •Hold medication until follow-up: 53 (78%) •Agent change: 45 (66%) •Discontinue medication: 41 (60%) |
aOther interventions: pregnancy prevention counseling (e.g., birth control, barrier method), anticoagulation planning, smoking cessation counseling