Detection and Prevention of Medication Errors by the Network of Sentinel Pharmacies in a Southern European Region
Abstract
:1. Introduction
2. Materials and Methods
2.1. Sampling Frame
2.2. Data Collection
- Code and name of sentinel pharmacy
- Date of ME detection
- Classification of the ME severity (choice between severity categories A to I) according to the Institute for Safe Medication Practices (ISMP) classification [11]
- National code of medicinal product
- Name of medicinal product
- ME origin (choice between pharmacy office, primary care center, hospital, patient residence, nursing home, and other)
- Cause of the ME (multiple answer: prescription, verification, dispensing, administration, similarity of packaging, similar names, incorrect labelling, incorrect dose, incorrect preparation, lack of information, system errors, non-compliance of the patient, therapeutic duplicity, and others)
- ME has been avoided (yes or no)
- Description of the preventive pharmaceutical action performed
- If the ME had caused an injury to the patient and a description of the associated ADR type
- Observations (free text field to indicate any relevant aspect during the ME detection)
2.3. Statistical Analysis
3. Results
3.1. Incidence Data
3.2. Typology of Medication Error
3.3. Drugs Involved
3.4. Pharmacovigilance and Pharmaceutical Care
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- National Coordinating Council for Medication Error Reporting and Prevention. Consumer Information for Safe Medication Use. Available online: http://www.nccmerp.org/consumer-information (accessed on 20 September 2022).
- Jung-Poppe, L.; Nicolaus, H.F.; Roggenhofer, A.; Altenbuchner, A.; Dormann, H.; Pfistermeister, B.; Maas, R. Systematic Review of Risk Factors Assessed in Predictive Scoring Tools for Drug-Related Problems in Inpatients. J. Clin. Med. 2022, 11, 5185. [Google Scholar] [CrossRef] [PubMed]
- Schurig, A.M.; Böhme, M.; Just, K.S.; Scholl, C.; Dormann, H.; Plank-Kiegele, B.; Seufferlein, T.; Gräff, I.; Schwab, M.; Stingl, J.C. Adverse Drug Reactions (ADR) and Emergencies. Dtsch. Ärzteblatt Int. 2018, 115, 251–258. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- World Health Organization. Medication without Harm—Global Patient Safety Challenge on Medication Safety. Available online: http://apps.who.int/iris/bitstream/10665/255263/1/WHO-HIS-SDS-2017.6-eng.pdf?ua=1&ua=1 (accessed on 2 October 2022).
- Pervanas, H.C.; Revell, N.; Alotaibi, A.F. Evaluation of Medication Errors in Community Pharmacy Settings: A Retrospective Report. J. Pharm. Technol. 2016, 32, 71–74. [Google Scholar] [CrossRef] [PubMed]
- Panagioti, M.; Khan, K.; Keers, R.N.; Abuzour, A.; Phipps, D.; Kontopantelis, E.; Bower, P.; Campbell, S.; Haneef, R.; Avery, A.J.; et al. Prevalence, severity, and nature of preventable patient harm across medical care settings: Systematic review and meta-analysis. BMJ 2019, 366, l4185. [Google Scholar] [CrossRef] [Green Version]
- Ashour, A.; Phipps, D.L.; Ashcroft, D.M. Predicting dispensing errors in community pharmacies: An application of the Systematic Human Error Reduction and Prediction Approach (SHERPA). PLoS ONE 2022, 17, e0261672. [Google Scholar] [CrossRef] [PubMed]
- Aboneh, E.A.; Stone, J.A.; Lester, C.A.; Chui, M.A. Evaluation of Patient Safety Culture in Community Pharmacies. J. Patient Saf. 2020, 16, e18–e24. [Google Scholar] [CrossRef]
- Jambrina, A.M.; Rams, N.; Rius, P.; Perelló, M.; Gironès, M.; Pareja, C.; Pérez-Cano, F.J.; Franch, A.; Rabanal, M. Creation and Implementation of a New Sentinel Surveillance Model in Pharmacy Offices in Southern Europe. Int. J. Environ. Res. Public Health 2022, 19, 8600. [Google Scholar] [CrossRef]
- European Medicine Agency (EMA). Guideline on Good Pharmacovigilance Practices (GVP). Annex I—Definitions (Rev 4). Available online: https://www.ema.europa.eu/en/documents/scientific-guideline/guideline-good-pharmacovigilance-practices-annex-i-definitions-rev-4_en.pdf (accessed on 21 December 2022).
- Instituto para el Uso Seguro de los Medicamentos (ISMP). Clasificación de los Errores de Medicación (Versión 2). 2008. Available online: http://www.ismp-espana.org/ficheros/Clasificaci%C3%B3n%20actualizada%202008.pdf (accessed on 2 October 2022).
- Addinsoft. XLSTAT Statistical and Data Analysis Solution. 2022. Available online: https://www.xlstat.com/en (accessed on 5 October 2022).
- WHO Collaborating Centre for Drug Statistics Methodology. Purpose of the ATC/DDD System. Available online: https://www.whocc.no/atc_ddd_methodology/purpose_of_the_atc_ddd_system/ (accessed on 7 October 2022).
- Nieva, V.F.; Sorra, J. Safety culture assessment: A tool for improving patient safety in healthcare organizations. Qual. Saf. Health Care 2003, 12 (Suppl. 2), 17–23. [Google Scholar] [CrossRef] [Green Version]
- Perelló, M.; Rio-Aige, K.; Guayta-Escolies, R.; Gascón, P.; Rius, P.; Jambrina, A.M.; Bagaria, G.; Armelles, M.; Pérez-Cano, F.J.; Rabanal, M. Evaluation of Medicine Abuse Trends in Community Pharmacies: The Medicine Abuse Observatory (MAO) in a Region of Southern Europe. Int. J. Environ. Res. Public Health 2021, 18, 7818. [Google Scholar] [CrossRef]
- Plans-Rubió, P.; Jambrina, A.M.; Carmona, G.; Rabanal, M.; Jané, M.; Rius, P. Influenza syndromic surveillance based on sentinel pharmacies in Catalonia (Spain) in 2017–2020. Int. J. Med. Pharma Res 2021, 5, 207–217. [Google Scholar]
- Jambrina, A.M.; Rius, P.; Gascón, P.; Armelles, M.; Camps-Bossacoma, M.; Franch, À.; Rabanal, M. Characterization of the Use of Emergency Contraception from Sentinel Pharmacies in a Region of Southern Europe. J. Clin. Med. 2021, 10, 2793. [Google Scholar] [CrossRef] [PubMed]
- Karout, S.; Khojah, H.M.J.; Karout, L.; Itani, R. A nationwide assessment of community pharmacists’ attitudes towards dispensing errors: A cross-sectional study. J. Taibah Univ. Med. Sci. 2022, 17, 889–896. [Google Scholar] [CrossRef] [PubMed]
- Ibrahim, O.M.; Ibrahim, R.M.; Al Meslamani, A.Z.; Al Mazrouei, N. Dispensing errors in community pharmacies in the United Arab Emirates: Investigating incidence, types, severity, and causes. Pharm. Pract. 2020, 18, 2111. [Google Scholar]
- Clarenne, J.; Gravoulet, J.; Chopard, V.; Rouge, J.; Lestrille, A.; Dupuis, F.; Aubert, L.; Malblanc, S.; Barbe, C.; Slimano, F.; et al. Clinical and Organizational Impacts of Medical Ordering Settings on Patient Pathway and Community Pharmacy Dispensing Process: The Prospective ORDHOSPIVILLE Study. Pharmacy 2021, 10, 2. [Google Scholar] [CrossRef]
- Campbell, P.J.; Patel, M.; Martin, J.R.; Hincapie, A.L.; Axon, D.R.; Warholak, T.L.; Slack, M. Systematic review and meta-analysis of community pharmacy error rates in the USA: 1993–2015. BMJ Open Qual. 2018, 7, e000193. [Google Scholar] [CrossRef]
- Abdel-Qader, D.H.; Al Meslamani, A.Z.; Lewis, P.J.; Hamadi, S. Incidence, nature, severity, and causes of dispensing errors in community pharmacies in Jordan. Int. J. Clin. Pharm. 2021, 43, 165–173. [Google Scholar] [CrossRef]
- Michel, B.; Hemery, M.; Rybarczyk-Vigouret, M.C.; Wehrlé, P.; Beck, M. Drug-dispensing problems community pharmacists face when patients are discharged from hospitals: A study about 537 prescriptions in Alsace. Int. J. Qual. Health Care 2016, 28, 779–784. [Google Scholar] [CrossRef]
- Shukla, A.; Rutman, M.; Moeller, J. Accidental paediatric ingestion of amlodipine after pharmacy dispensing error. Med. Leg. J. 2022, 00258172221116499. [Google Scholar] [CrossRef]
- Olesen, A.E.; Henriksen, J.N.; Nielsen, L.P.; Knudsen, P.; Poulsen, B.K. Patient safety incidents involving transdermal opioids: Data from the Danish Patient Safety Database. Int. J. Clin. Pharm. 2021, 43, 351–357. [Google Scholar] [CrossRef]
- Ababneh, M.A.; Al-Azzam, S.I.; Alzoubi, K.H.; Rababa’h, A.M. Medication errors in outpatient pharmacies: Comparison of an electronic and a paper-based prescription system. J. Pharm. Health Serv. Res. 2020, 11, 245–248. [Google Scholar] [CrossRef]
- Hall, N.; Bullen, K.; Sherwood, J.; Wake, N.; Wilkes, S.; Donovan, G. Exploration of prescribing error reporting across primary care: A qualitative study. BMJ Open 2022, 12, e050283. [Google Scholar] [CrossRef] [PubMed]
- Macías, M.; Garzón, G.; Navarro, C.; Navea, A.; Díaz, A.; Santiago, A.; Pardo, A. Impact of the COVID-19 pandemic on patient safety incident and medication error reporting systems. J. Healthc. Qual. Res. 2022, 37, 397–407. [Google Scholar] [CrossRef] [PubMed]
- Cook, E.A.; Duenas, M.; Harris, P. Polypharmacy in the Homebound Population. Clin. Geriatr. Med. 2022, 38, 685–692. [Google Scholar] [CrossRef] [PubMed]
- Adie, K.; Fois, R.A.; McLachlan, A.J.; Walpola, R.L.; Chen, T.F. The nature, severity and causes of medication incidents from an Australian community pharmacy incident reporting system: The QUMwatch study. Br. J. Clin. Pharmacol. 2021, 87, 4809–4822. [Google Scholar] [CrossRef]
- Adie, K.; Fois, R.A.; McLachlan, A.J.; Chen, T.F. Medication incident recovery and prevention utilising an Australian community pharmacy incident reporting system: The QUMwatch study. Eur. J. Clin. Pharmacol. 2021, 77, 1381–1395. [Google Scholar] [CrossRef]
- Boucher, A.; Ho, C.; MacKinnon, N.; Boyle, T.A.; Bishop, A.; Gonzalez, P.; Hartt, C.; Barker, J.R. Quality-related events reported by community pharmacies in Nova Scotia over a 7-year period: A descriptive analysis. CMAJ Open 2018, 6, E651–E656. [Google Scholar] [CrossRef] [Green Version]
- Van Loon, W.E.E.; Borgsteede, S.D.S.; Baas, G.W.G.; Kruijtbosch, M.M.; Buurma, H.H.; De Smet, P.A.G.M.P.; Egberts, A.C.G.T.; Bouvy, M.M.; Floor-Schreudering, A.A. Nature and frequency of prescription modifications in community pharmacies: A nationwide study in the Netherlands. Br. J. Clin. Pharmacol. 2021, 87, 1455–1465. [Google Scholar] [CrossRef]
- Vik, S.; Weidemann, P.; Gangås, I.E.M.; Knapstad, S.E.; Haavik, S. Pharmaceutical interventions on prescriptions in Norwegian community and hospital pharmacies. Int. J. Clin. Pharm. 2021, 43, 872–877. [Google Scholar] [CrossRef]
- Maes, K.A.; Hersberger, K.E.; Lampert, M.L. Pharmaceutical interventions on prescribed medicines in community pharmacies: Focus on patient-reported problems. Int. J. Clin. Pharm. 2018, 40, 335–340. [Google Scholar] [CrossRef]
Cause of ME | Cases 2019 | Cases 2020 | Cases 2021 | Global Cases | ||||
---|---|---|---|---|---|---|---|---|
(n = 632) | % | (n = 748) | % | (n = 579) | % | (n = 1959) | % | |
Incorrect, incomplete, illegible, or verbal medical prescription | 239 | 37.8 | 337 | 45.1 | 234 | 40.4 | 810 | 41.3 |
Incorrect prescribed dosage | 97 | 15.3 | 81 | 10.8 | 65 | 11.2 | 243 | 12.4 |
Therapeutic duplication | 40 | 9.8 | 58 | 6.8 | 59 | 5.2 | 157 | 8.0 |
Incorrect administration | 46 | 7.3 | 55 | 7.4 | 47 | 8.1 | 148 | 7.6 |
Lack of information | 62 | 6.3 | 51 | 7.8 | 30 | 10.2 | 143 | 7.3 |
Patient non-compliance | 19 | 4.9 | 34 | 3.3 | 27 | 3.3 | 80 | 4.1 |
Similarity of packaging | 31 | 3.5 | 25 | 2.5 | 19 | 3.3 | 75 | 3.8 |
Incorrect dispensing | 22 | 3.2 | 19 | 3.1 | 19 | 2.8 | 60 | 3.1 |
Other causes | 20 | 3.2 | 23 | 2.1 | 16 | 3.6 | 59 | 3.0 |
Similar names | 20 | 3.0 | 16 | 4.5 | 21 | 4.7 | 57 | 2.9 |
System error (structure, process, or organization) | 12 | 2.8 | 28 | 1.3 | 15 | 3.8 | 55 | 2.8 |
Incorrect prescription verification | 18 | 1.9 | 10 | 3.7 | 22 | 2.6 | 50 | 2.6 |
Incorrect preparation | 5 | 0.8 | 8 | 1.1 | 4 | 0.7 | 17 | 0.9 |
Incorrect or misleading labelling | 1 | 0.2 | 3 | 0.4 | 1 | 0.2 | 5 | 0.3 |
ME Severity Category | Notifications 2019 | Notifications 2020 | Notifications 2021 | Global Notifications | ||||
---|---|---|---|---|---|---|---|---|
(n = 442) | % | (n = 536) | % | (n = 416) | % | (n = 1394) | % | |
A: Circumstance capable of causing an ME | 31 | 7.0 | 21 | 3.9 | 14 | 3.4 | 66 | 4.7 |
B: The ME occurred but was detected before reaching the patient | 295 | 66.7 | 379 | 70.7 | 263 | 63.2 | 937 | 67.2 |
C: The ME did not cause injury to the patient | 80 | 18.1 | 103 | 19.2 | 88 | 21.2 | 271 | 19.4 |
D: The patient required observation, but no injury occurred | 10 | 2.3 | 9 | 1.7 | 17 | 4.1 | 36 | 2.6 |
E: The patient required treatment and/or the ME caused temporary injury | 23 | 5.2 | 23 | 4.3 | 29 | 7.0 | 75 | 5.4 |
F: The patient required hospitalization or hospitalization has been prolonged and has caused temporary injury | 3 | 0.7 | 1 | 0.2 | 5 | 1.2 | 9 | 0.6 |
G: The ME caused a permanent injury to the patient | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 |
H: The ME caused a situation that came close to causing the death of the patient | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 |
I: The ME caused or contributed to the patient’s death | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 |
ATC Code | ATC Code Description | Global Notifications | |
---|---|---|---|
(n = 1505) | % | ||
N | Nervous system | 287 | 19.1 |
C | Cardiovascular system | 239 | 15.9 |
A | Alimentary tract and metabolism | 230 | 15.3 |
J | Anti-infectives for systemic use | 178 | 11.8 |
R | Respiratory system | 133 | 8.8 |
B | Blood and blood-forming organs | 89 | 5.9 |
M | Musculoskeletal system | 85 | 5.6 |
H | Systemic hormonal preparations, excluding sex hormones and insulins | 72 | 4.8 |
S | Sensory organs | 55 | 3.7 |
D | Dermatological | 54 | 3.6 |
G | Genitourinary system and sex hormones | 44 | 2.9 |
Others | Medical devices and food supplements | 14 | 0.9 |
L | Antineoplastic and immunomodulating agents | 13 | 0.9 |
P | Antiparasitic products, insecticides, and repellents | 9 | 0.6 |
V | Various | 3 | 0.2 |
ATC Code | ATC Code Description | Global Notifications | % Global Notifications |
---|---|---|---|
J01C | Beta-lactam antibiotics and Penicillins | 75 | 5.0 |
B01A | Antithrombotic agents | 69 | 4.6 |
M01A | Anti-inflammatory and antirheumatic products and non-steroids | 58 | 3.9 |
N06A | Antidepressants | 58 | 3.9 |
A11C | Vitamins A and D, including combinations of the two | 56 | 3.7 |
N02B | Other analgesics and antipyretics | 55 | 3.7 |
A02B | Drugs for peptic ulcer and gastro-esophageal reflux disease | 45 | 3.0 |
N02A | Opioids | 45 | 3.0 |
A10B | Blood glucose-lowering drugs, excluding insulins | 44 | 2.9 |
H02A | Corticosteroids for systemic use, plain | 44 | 2.9 |
C10A | Lipid-modifying agents, plain | 38 | 2.5 |
N05B | Anxiolytics | 35 | 2.3 |
R03B | Other drugs for obstructive airway diseases and inhalants | 34 | 2.3 |
A10A | Insulins and analogues | 32 | 2.1 |
N05A | Antipsychotics | 31 | 2.1 |
J01F | Macrolides, lincosamides, and streptogramins | 29 | 1.9 |
C09A | Selective calcium channel blockers with direct cardiac effects | 28 | 1.9 |
R06A | Antihistamines for systemic use | 27 | 1.8 |
N03A | Antiepileptics | 26 | 1.7 |
R03A | Adrenergics and inhalants | 25 | 1.7 |
C03C | High-ceiling diuretics | 25 | 1.7 |
J01X | Other antibiotics | 25 | 1.7 |
A12A | Mineral supplements | 24 | 1.6 |
C09D | Angiotensin II receptor blockers (ARBs) and combinations thereof | 23 | 1.5 |
C07A | Beta-blocking agents | 22 | 1.5 |
S01E | Antiglaucoma preparations and miotics | 20 | 1.3 |
C08C | Ace inhibitors and combinations thereof | 20 | 1.3 |
H03A | Thyroid preparations | 20 | 1.3 |
Drug | Source of ME | Cause of ME | Additional Pharmaceutical Action | ADR Associated |
---|---|---|---|---|
Rocoz® 100 mg (API * Quetiapine) | Pharmacy office | Incorrect dispensing | The two pillboxes causing the error were separated due to similarity in the names of the patients. | Undefined |
Clopidogrel Normon 75 mg EFG † | Patient’s home | Lack of information and patient non-compliance | The pharmacist urged the family to review the medication with the prescribing physician. | Stroke due to patient non-compliance |
Augmentine® 500 mg (API * Amoxicillin/clavulanic acid) | Primary care center | Incorrect medical prescription | None | The patient attended the primary care center with chest pain angina and was prescribed Augmentine® 500 mg. Two days later, he returned to the emergency room because he had chest pain. The patient was referred to the hospital, where pericarditis was detected due to an incorrect prescription of the antibiotic dose. |
Fentanyl® Stada 75 µg EFG † | Patient’s home | Incorrect administration | The patient applied the new patch without removing the old one because he thought the drug had worn off. The pharmacist explained to the patient when and how to remove the fentanyl patch. | Drowsiness, hypotension, and light headedness that resulted in requiring treatment in the primary care center. |
Furosemide Cinfa 40 mg EFG † | Primary care center | Incorrect medical prescription and system error (structure, process, or organization) | None | The patient had edema in the leg because the doctor forgot to renew the furosemide in the electronic prescription and the patient stopped taking the medication. The patient was hospitalized for ten days. |
Eliquis® 2.5 mg (API * Apixaban) | Hospital | Incorrect medical prescription | None | The patient was taking acenocoumarol to prevent thromboembolism secondary to a mechanical heart valve. After the change in medication from acenocoumarol to apixaban, the patient suffered another myocardial infarction, with hospitalization and subsequent surgical intervention. |
Sintrom® 4 mg (API * Acenocoumarol) | Primary care center | Incorrect prescribed dosage and system error (structure, process, or organization) | None | Elevated international normalized ratio (INR) |
Amoxicillin/clavulanic acid Mylan 500 mg EFG † | Patient’s home | Other causes | Due to the ADR experienced by the patient, the pharmacist advised referring him to the doctor so that he could take it into account in future prescriptions. | After the administration of six doses of antibiotic, the patient stopped the treatment due to the appearance of hemorrhoids. The patient attended the hospital, where she was prescribed a cream for the hemorrhoids. |
Prednisone Alonga 50 mg EFG † | Primary care center | Incorrect medical prescription and lack of information | The patient was diabetic and suffered facial paralysis. Prednisone 50 mg was prescribed and her basal glycemia rose to 600 mg/dL. The patient was admitted to the hospital and was under observation, where she was administered rapid insulin. The pharmacist advised her to periodically check her glucose levels and take note of when the medication was stopped. | Hyperglycemia |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Jambrina, A.M.; Santomà, À.; Rocher, A.; Rams, N.; Cereza, G.; Rius, P.; Gironès, M.; Pareja, C.; Franch, À.; Rabanal, M. Detection and Prevention of Medication Errors by the Network of Sentinel Pharmacies in a Southern European Region. J. Clin. Med. 2023, 12, 194. https://doi.org/10.3390/jcm12010194
Jambrina AM, Santomà À, Rocher A, Rams N, Cereza G, Rius P, Gironès M, Pareja C, Franch À, Rabanal M. Detection and Prevention of Medication Errors by the Network of Sentinel Pharmacies in a Southern European Region. Journal of Clinical Medicine. 2023; 12(1):194. https://doi.org/10.3390/jcm12010194
Chicago/Turabian StyleJambrina, Anna M., Àlex Santomà, Andrea Rocher, Neus Rams, Glòria Cereza, Pilar Rius, Montserrat Gironès, Clara Pareja, Àngels Franch, and Manel Rabanal. 2023. "Detection and Prevention of Medication Errors by the Network of Sentinel Pharmacies in a Southern European Region" Journal of Clinical Medicine 12, no. 1: 194. https://doi.org/10.3390/jcm12010194
APA StyleJambrina, A. M., Santomà, À., Rocher, A., Rams, N., Cereza, G., Rius, P., Gironès, M., Pareja, C., Franch, À., & Rabanal, M. (2023). Detection and Prevention of Medication Errors by the Network of Sentinel Pharmacies in a Southern European Region. Journal of Clinical Medicine, 12(1), 194. https://doi.org/10.3390/jcm12010194