Best Possible Medication History Collection by Clinical Pharmacist in a Preoperative Setting: An Observational Prospective Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
- i.
- During the first phase, which we refer to as the feasibility phase, our primary focus was to identify the specific and tailored information required to establish an accurate BPMH. This phase took place in March 2021 and involved the selection of 10 crucial items related to the patient’s therapy. To select the items to be included in the study, a multidisciplinary team consisting of a clinical pharmacist, ward staff (especially nurses), an anesthesiologist, and a surgeon who evaluated the information currently collected at the preoperative visit, considered the most relevant pharmacological information defined as “necessary”, and developed a list of 10 items. This list includes all the important information to be collected when a polypharmacy occurs, such as the brand name of the drugs and active ingredients prescribed, their pharmaceutical forms, doses (defined as a specific amount of medication taken at one time) and dosages (defined as how to take the medication as prescribed: a specific amount, number, and frequency of doses over a specific period of time), and all the information related to the initiation and duration of therapy. Additionally, we verify the completeness of information related not only to drugs but also to integrative therapies, homeopathic medicines, and dietary/herbal supplements, in order to achieve a complete BPMH collection. As our study aims to focus on the impact of the clinical pharmacist in the collection of the BPMH, we decided to focus on purely pharmacological items. Therefore, we did not include information such as comorbidities or diagnoses.
- ii.
- The second observational phase involved systematic data collection on the activity of ward staff (e.g., nurses) in gathering medication history during April–May 2021.
- iii.
- The third and last interventional phase examined the impact, measured by the omissions rate in this and previous phases, of BPMH collection carried out by the clinical pharmacist in optimizing the prescription appropriateness during June–July 2021.
2.2. Ethics Approval
2.3. Inclusion and Exclusion Criteria
2.4. Statistical Analysis
3. Results
4. Discussion
4.1. Strengths and Weaknesses (Study Limitations)
4.2. Further Research
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variables | All Patients (N = 140) | Control Group (N = 70) | Intervention Group (N = 70) | p |
---|---|---|---|---|
Male, n (%) | 75 (53.6) | 37 (52.8) | 38 (54.3) | 0.86 |
Age, median (IQR) | 61 (55–73) | 60 (55–74) | 64 (56–75) | 0.76 |
Comorbidities, median (IQR) | 3 (2–5) | 3 (2.5–4) | 3 (2–5) | 0.80 |
Patients aged ≥ 65 years (%) | 67 (47.8) | 34 (48.6) | 33 (47.1) | 0.86 |
Number of medications taken daily per patient, median (IQR) | 4 (3–5) | 4(3–5) | 4(3–6.0) | 0.31 |
Patients with polypharmacy (drugs taken ≥5; %) | 96 (68.6) | 44 (62.8) | 52 (74.3) | 0.15 |
Type of surgery | <0.05 | |||
General surgery (%) | 73 (52.1) | 70 (100) | 3 (4.3) | -- |
Gastric surgery (%) | 62 (44.8) | 0 (0.0) | 62 (88.6) | -- |
Others (%) | 5 (3.1) | 0 (0.0) | 5 (7.1) | -- |
Information Reported in the BPMH | Control Group (N = 70) | Intervention Group (N = 70) | p |
---|---|---|---|
Active pharmaceutical ingredient (%) | 21 (30.0) | 68 (97.1) | <0.05 |
Brand name (%) | 53 (75.7) | 69 (98.6) | <0.05 |
Route of administration (%) | 44 (62.9) | 70 (100) | <0.05 |
Pharmaceutical form (%) | 53 (75.7) | 70 (100) | <0.05 |
Dose (%) | 55 (78.6) | 68 (97.1) | <0.05 |
Dosage (%) | 49 (70.0) | 70 (100) | <0.05 |
Date of drug initiation (%) | 0 (0.0) | 64 (91.4) | N.A. |
Drug therapy duration (%) | 0 (0.0) | 67 (95.7) | N.A. |
Need for a manipulated pharmaceutical form (%) | 0 (0.0) | 70 (100) | N.A. |
Homeopathic/supplements/others (%) | 25 (35.7) | 70 (100) | <0.05 |
Total omissions (%) | 400/700 (57.1) | 14/700 (2.0) | <0.05 |
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Mengato, D.; Pivato, L.; Codato, L.; Faccioli, F.F.; Camuffo, L.; Giron, M.C.; Venturini, F. Best Possible Medication History Collection by Clinical Pharmacist in a Preoperative Setting: An Observational Prospective Study. Pharmacy 2023, 11, 142. https://doi.org/10.3390/pharmacy11050142
Mengato D, Pivato L, Codato L, Faccioli FF, Camuffo L, Giron MC, Venturini F. Best Possible Medication History Collection by Clinical Pharmacist in a Preoperative Setting: An Observational Prospective Study. Pharmacy. 2023; 11(5):142. https://doi.org/10.3390/pharmacy11050142
Chicago/Turabian StyleMengato, Daniele, Lisa Pivato, Lorenzo Codato, Fernanda Fabiola Faccioli, Laura Camuffo, Maria Cecilia Giron, and Francesca Venturini. 2023. "Best Possible Medication History Collection by Clinical Pharmacist in a Preoperative Setting: An Observational Prospective Study" Pharmacy 11, no. 5: 142. https://doi.org/10.3390/pharmacy11050142
APA StyleMengato, D., Pivato, L., Codato, L., Faccioli, F. F., Camuffo, L., Giron, M. C., & Venturini, F. (2023). Best Possible Medication History Collection by Clinical Pharmacist in a Preoperative Setting: An Observational Prospective Study. Pharmacy, 11(5), 142. https://doi.org/10.3390/pharmacy11050142