Medication errors are defined as any preventable adverse event that may actually or potentially lead to inappropriate use of medications.
The occurrence of errors in medication orders involving antineoplastic chemotherapy constitutes a serious public health problem. The cumulative and potentially harmful effect, caused by the narrow therapeutic index, where incorrect dosages or administrations may result in increased toxicity and/or decreased tumor response, directly affects patient safety. This has a significant impact on the Brazilian publicly funded health system (Sistema Único de Saúde, SUS, in Portuguese), leading to an increase in morbidity and mortality among people with cancer.
Preventable damage during care is frequently recorded, especially in developed countries, such as the United States of America (USA), where approximately 2% of all patients admitted to hospitals are affected by a medication error, with at least 400,000 preventable drug-related adverse events recorded annually.
The Safety Protocol in the Prescription, Use and Administration of Medications (Protocolo de Segurança na Prescrição, Uso e Administração de Medicamentos) is an integral part of the National Patient Safety Program (Programa Nacional de Segurança do Paciente), established in Brazil in 2013 with the aim of contributing to the qualification of health care through safe practice in use of medicines in healthcare establishments.
Prescription analysis is a standard operating procedure for dispensing medication and must be carried out by the pharmaceutical professional, responsible for checking all identification elements of the institution, the patient, the prescriber and the prescribed medications, considering the following aspects: dose, pharmaceutical form, concentration, route of administration, dosage, diluent, infusion speed and infusion time in order to prevent possible prescription errors from becoming dispensing errors.
Despite the demonstrated relevance of medication use failures as a significant contributing factor to reduced patient safety,
The objective of this study was to evaluate the profile of medical prescriptions of patients undergoing treatment with antineoplastic chemotherapy admitted to the clinical oncology ward of Hospital de Câncer de Pernambuco (Pernambuco's Cancer Hospital), before and after the implementation of the standardization of computerized prescriptions.
This is a cross-sectional study based on the evaluation of oncological medication prescriptions at a reference center in the city of Recife, Brazil.
The prescription collection phase was conducted between March and May 2016 for the first stage, and for the second it was between June and August 2016, in the clinical oncology ward of the Pernambuco Cancer Hospital, responsible for 55% of the antineoplastic chemotherapy patient care in the state. Subsequently, after 8 years, in the first half of 2024, a detailed analysis based on descriptive statistics of the collected data was executed.
At the first stage, prior to electronic prescribing, the method of documenting antineoplastic chemotherapy prescriptions was heterogeneous, consisting of both handwritten and computer-typed elements. In the second stage, following the standardization process enabled by the adoption of the electronic system, prescriptions were transitioned to a fully digital format, with doctors prescribing drugs using a specific software where chemotherapy protocols, formulations, and medication dosages were available. The system calculated and suggested doses based on the input of patient identification data, such as height, weight, age, and others. The oncology medication distribution system operates on a ‘unit dose’ mode, and all prescribers had a digital signature.
Data extraction was conducted by the main researcher through the application of a specific analysis instrument, built and adapted for this study, with information regarding patient, prescriber, and medication.
Medical prescriptions were collected at two different times, before and after the implementation of prescription standardization, with prestandardization prescriptions collected during the first stage period and computerized during the second one. The sample of this study includes 694 prescriptions for intravenous injectable antineoplastic chemotherapy drugs that were compiled consistently and consecutively through daily analysis (Monday to Friday) of copies of the original prescriptions. All prescriptions assessed during this period were used in this study and there were no exclusions.
Aiming to detect the main issues with the criteria related to the legal requirements necessary for correct dispensing and administration of medications, the following variables were analyzed: use of the trade name, dose, diluent, infusion rate, use of abbreviations and acronyms in the medication name, identification of the prescriber and the patient, medical record number, bed number, sex, age, body surface area, chemotherapy protocol, and diagnosis.
The data were stored in a proprietary database created exclusively for this research. In order to check for possible typing errors, we also used a double-entry method for validation in the EPI-INFO (Centers for Disease Control and Prevention, Atlanta, GA, USA) software, version 7.2.6, and were subsequently compared. In order to verify the statistical significance of the differences found in the frequency distribution of the variables, the Pearson's chi-squared test was used and, when necessary, the Fisher's exact test with a significance level below 5% (p < 0.05). The analysis was performed using the STATA (StataCorp LLC., College Station, TX, US) software version 17.0.
This study received approval from the Research Ethics Committee of the Pernambuco Cancer Society (SPCC)/Pernambuco Cancer Hospital (CAAE N. 50724415.7.0000.5205), as provided for in resolution no. 466/12 of the Brazilian National Health Council (Conselho Nacional de Saúde).
An examination of all prescriptions included in this study revealed prescription errors in at least one of the evaluated items.
| Characteristics | Prescription status relative to standardization N (%) | p-value | |
|---|---|---|---|
| Before (n = 357) | After (n = 337) | ||
| Patient identification | |||
| Full name | |||
| Yes | 320 (89.6) | 320 (94.7) | 0.009* |
| No | 37 (10.4) | 17 (5.1) | |
| Medical record number | |||
| Yes | 337 (94.4) | 324 (96.1) | 0.280 |
| No | 20 (5.6) | 13 (3.9) | |
| Bed number | |||
| Yes | 6 (1.8) | 3 (0.9) | 0.358 |
| No | 351 (98.2) | 334 (99.1) | |
| Sex | |||
| Yes | 2 (0.56) | 0 (0) | 0.169 |
| No | 355 (99.4) | 337 (100) | |
| Age | |||
| Yes | 54 (15.2) | 127 (37.6) | 0.05* |
| No | 303 (84.8) | 210 (62.3) | |
| Body surface area | |||
| Yes | 173 (48.5) | 190 (56.4) | 0.037* |
| No | 184 (51.5) | 147 (43.6) | |
| Chemotherapy protocol | |||
| Yes | 156 (43.7) | 265 (78.6) | 0.05* |
| No | 201 (56.3) | 72 (21.4) | |
| Diagnosis | |||
| Yes | 108 (30.3) | 189 (56.1) | 0.05* |
| No | 249 (69.7) | 148 (43.9) | |
Notes: The groups were evaluated using the Chi-squared test and Fisher's exact tests, p-value < 0.05.
| Characteristics | Prescription status relative to standardization N (%) | p-value | |
|---|---|---|---|
| Before (n = 357) | After (n = 337) | ||
| Prescriber identification | |||
| Prescriber's signature | |||
| Yes | 356 (99.7) | 337 (100) | 0.331 |
| No | 1 (0.3) | 0 (0) | |
| Professional license | |||
| Yes | 354 (99.2) | 336 (99.7) | 0.344 |
| No | 3 (0.8) | 1 (0.3) | |
| Drug identification | |||
| Abbreviations and acronyms | |||
| Yes | 160 (44.8) | 36 (10.7) | 0.05* |
| No | 197 (55.2) | 302 (89.3) | |
| Commercial name | |||
| Yes | 230 (64.4) | 78 (23.2) | 0.05* |
| No | 127 (35.6) | 259 (76.8) | |
| Dose | |||
| Yes | 347 (97.2) | 337 (100) | 0.002* |
| No | 10 (2.8) | 0 (0) | |
| Diluent | |||
| Yes | 262 (73.4) | 322 (95.5) | 0.05* |
| No | 95 (26.6) | 15 (4.5) | |
| Infusion speed | |||
| Yes | 198 (55.5) | 300 (89.1) | 0.05* |
| No | 159 (44.5) | 37 (10.9) | |
Notes: *Fisher's chi-squared test, p-value < 0.05. The groups were evaluated using the Fisher's exact tests.
It is important to note that this study was conducted during the initial transition phase from manual to electronic prescribing in Pernambuco Cancer Hospital. This timing may have contributed to an increase in errors in the digital format due to the users' unfamiliarity with the new system.
The results found in this analysis are in agreement with national and international studies on medication errors, prescription errors, and adverse events associated with medications.
The registration of patients' names in incomplete forms or with abbreviations was noted in 10.4% of the prescriptions analyzed in the first period of the study. Alternatively, with standardized prescriptions, this percentage was reduced by 50%. Our results were better when compared to two other studies conducted in the Northeast of Brazil, which found the absence of the patient's full name in 32 and 35% of the prescriptions analyzed, respectively.
Our results revealed an important percentage of age omission in prescriptions collected during the first study period (84.8%). Conversely, with standardization, there was a significant drop, but the omission of this item is still high, demonstrating similarity to the study conducted by Jacobsen et al.,
The absence of body surface area in medical prescriptions, specifically oncological prescriptions, makes it difficult for pharmacists to manipulate and dispense medication, and its presence in prescriptions is therefore of fundamental importance for calculating the dose to be administered. With the standardization of prescriptions, it was observed that the body surface area was absent in 43.6% of the prescriptions analyzed. This result corroborates the study conducted by Bózoli et al.
Concerning the omission of chemotherapy protocol details, the standardization of prescriptions resulted in a reduction of this oversight from 56.3 in nonstandardized samples to 21.4%, signifying a substantial enhancement. This advancement is particularly notable when compared to the study conducted by Michelena et al.,
The inclusion of a diagnosis in oncology medication prescriptions is critically important due to the intricate nature of cancer and its treatments. In the prescriptions examined, the rate of diagnosis omission was also assessed. Following the implementation of standardization, the incidence of omission, which previously stood at 69.7% during the first stage, was reduced to 43.9%. Although this reduction signifies a notable enhancement, the persisting rate is still higher than the findings from a study conducted in Portugal, which reported an 8.4% prevalence of diagnosis omission in the analyzed prescriptions.
Prescriber identification data, such as the presence of signature and professional registration, were researched, but no statistically significant differences were found comparing the data before and after the implementation of standardization protocols.
With regard to medication identification data, it was observed that all variables studied showed a significant reduction in errors identified after the computerization of prescriptions, with statistically significant differences. The presence of abbreviations and acronyms in the name of the medicine poses a potential risk of confusing pharmaceutical professionals when analyzing prescriptions. In the present study, it was observed that 44.8% of manual prescriptions contained abbreviations and acronyms in the name of the medication, echoing the findings of analogous Brazilian research, which reported prevalence rates of 48.3 and 82%.
In accordance with law n. 9,787,
The presence of the diluent prescription, especially in prescriptions containing injectable medications, is extremely important, as the lack of this information can lead to serious, irreparable harm to the patient. In the present study, after the digitalization of prescriptions, 4.5% of omission of the diluent prescription was found, a result considered low when compared to a study conducted by Aguiar et al.,
Another important factor that must be present when prescribing injectable medications is their infusion speed. It is already well established in the literature that parenteral medications require monitoring of the amount injected versus infusion time, to avoid adverse reactions.
Correctly specifying all components of a medical prescription is essential for patient safety. Illegible or missing prescription components compromise the efficiency of any medication distribution system and can lead to preparation and dispensing errors that lead to improper medication administration.
The clinical practices of pharmaceutical professionals should be encouraged, as they reduce prescription and medication errors in general and are based on proven scientific evidence.
Appreciating all the results obtained in this study, it was observed that a large part of the prescriptions lacks the necessary information to ensure the safe and rational use of oncology medications, demonstrating noncompliance with current legislation. The evaluation of the oncology medications' prescription profile in a reference hospital in the city of Recife made it possible to identify the presence of errors in all of them before and after the standardization of computerized prescriptions.
Ensuring that all elements of a medical prescription are accurately listed is critical for patient safety. Illegible prescriptions or those with missing components compromise the efficiency of any distribution system and can lead to preparation and dispensing errors that lead to improper medication administration.
The findings of this study indicate that the implementation of standardized prescriptions has significantly reduced the occurrence of errors due to missing items and information. This also highlights the vital role of medical and pharmaceutical professionals in developing and reviewing prescriptions before they are processed, ensuring greater safety and quality in the treatment provided to cancer patients.
Finally, as this analysis is based on records collected in 2016, even having a coherent dialogue with the findings of other studies from various time periods and locations, the results of this study may not reflect the current state of the institution where it was conducted.
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Journal: Brazilian Journal of Oncology
DOI: 10.1055/s-00059887
e-issn: 2526-8732
Publisher: Thieme Revinter Publicações Ltda.
Publisher address: Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
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1. Brasil. Ministério da Saúde. Anvisa. Fiocruz. Fhemig. Anexo 03: Protocolo de segurança na prescrição, uso e administração de medicamentos. Ministério da Saúde, 2013.
2. Schulmeister, L. Chemotherapy medication errors: descriptions, severity, and contributing factors. Oncol Nurs Forum [online]. 1999, vol. 26, p. 1033-1042.
3. Miasso, A I and Oliveira, R C and Silva, A E. Prescription errors in Brazilian hospitals: a multi-centre exploratory survey. Cad Saude Publica [online]. 2009, vol. 25, p. 313-320.
4. Institute of Medicine. (U.S.). Committee on Identifying and Preventing Medication Errors. Preventing Medication Errors. National Academies Press, 2007.
5. Warholak, T L and Queiruga, C and Roush, R and Phan, H. Medication error identification rates by pharmacy, medical, and nursing students. Am J Pharm Educ [online]. 2011, vol. 75, p. 24.
6. Brasil. Ministério da Saúde. Portaria no. 529, de 1 de Abril de 2013. Institui o Programa Nacional de Segurança do Paciente (PNSP). Diário Oficial da União, 1 abr 2013 [online]. Available from: <>.
7. Brasil. Ministério da Saúde. Agência Nacional de Vigilância Sanitária. Resolução da Diretoria Colegiada – RDC n°. 36, de 25 de julho de 2013. Institui ações para a segurança do paciente em serviços de saúde e dá outras providências. Diário Oficial da União, 2013 [online]. Available from: <>.
8. Landrigan, C P and Parry, G J and Bones, C B and Hackbarth, A D and Goldmann, D A and Sharek, P J. Temporal trends in rates of patient harm resulting from medical care. N Engl J Med [online]. 2010, vol. 363, p. 2124-2134.
9. . , .
10. Rosa, M B and Perini, E and Anacleto, T A and Neiva, H M and Bogutchi, T. Erros na prescrição hospitalar de medicamentos potencialmente perigosos. Rev Saude Publica [online]. 2009, vol. 43, p. 490-498.
11. Gouvêa, C S and Travassos, C. Indicadores de segurança do paciente para hospitais de pacientes agudos: revisão sistemática. Cad Saude Publica [online]. 2010, vol. 26, p. 1061-1078.
12. Lewis, P J and Dornan, T and Taylor, D and Tully, M P and Wass, V and Ashcroft, D M. Prevalence, incidence and nature of prescribing errors in hospital inpatients: a systematic review. Drug Saf [online]. 2009, vol. 32, p. 379-389.
13. Lisby, M and Nielsen, L P and Mainz, J. Errors in the medication process: frequency, type, and potential clinical consequences. Int J Qual Health Care [online]. 2005, vol. 17, p. 15-22.
14. Louro, E and Romano-Lieber, N S and Ribeiro, E. Eventos adversos a antibióticos em pacientes internados em um hospital universitário. Rev Saude Publica [online]. 2007, vol. 41, p. 1042-1048.
15. Miasso, A I and Grou, C R and De Cassiani, S H and de Silva, A E and Fakih, F T. Erros de medicação: tipos, fatores causais e providênclas tomadas em quatro hospitais brasileiros. Rev Esc Enferm USP [online]. 2006, vol. 40, p. 524-532.
16. Intensive Care Society's Working Group on Adverse Incidents. Prescription errors in UK critical care units. Anaesthesia [online]. 2004, vol. 59, p. 1193-1200.
17. Cassiani, S HB and Ueta, J. A segurança dos pacientes na utilização da medicação. Artes Médicas, 2004.
18. Araujo, A EPD and Mascarenhas, M BJ and Néri, E DR and Dias, H I and Fonteles, M MDF and Almeida, P CD. Análise de prescrições em maternidade pública brasileira. Rev Bras Farm Hosp Serv Saude [online]. 2014, vol. 5, p. 63-68.
19. Néri, E DR. Determinação do perfil dos erros de prescrição de medicamentos em um hospital universitário. [Dissertação]. Faculdade de Farmácia, Odontologia e Enfermagem, Universidade Federal do Ceará, 2004.
20. Weber, D and Bueno, C S and Oliveira, K R. Análise de prescrições medicamentosas de um hospital de pequeno porte no noroeste do Estado do Rio Grande do Sul. Rev Cienc Farm Basica Apl [online]. 2012, vol. 33, p. 139-145.
21. Jacobsen, T F and Mussi, M M and Silveira, M PT. Análise de erros de prescrição em um hospital da Região Sul do Brasil. Rev. Bras. Farm. Hosp. Serv. Saúde São Paulo [online]. 2015, vol. 6, p. 23-26.
22. Arbesú Michelena, M A and Ramos Fernández, M and Areces Delgado, F. Pilotaje en la detección de errores de prescripción de citostáticos. Rev Cuba Farm [online]. 2004, vol. 38, p. 1-1.
23. Congresso Nacional de APFH, 2012 [online]. Available from: <>.
24. Bózoli, L FB and Ribeiro, C M and Zoccal, P LM. Análise de prescrições médicas para tratamento de câncer de mama em um hospital universitário do estado de São Paulo. Rev Cienc Farm Basica Apl [online]. 2012, vol. 35, p. 695-700.
25. ASHP Council on Professional Affairs. ASHP guidelines on preventing medication errors with antineoplastic agents. Am J Health Syst Pharm [online]. 2002, vol. 59, p. 1648-1668.
26. Coutinho, M LM and Lucena, F JT and Machado, M V. Análise da qualidade das prescrições de antineoplásico em um hospital público do Brasil. Rev Bras Farm [online]. 2011, vol. 95, p. 661-675.
27. Brasil. Lei N°. 9,787, de 10 de fevereiro de 1999. Dispõe sobre a vigilância sanitária, estabelece o medicamento genérico, dispõe sobre a utilização de nomes genéricos em produtos farmacêuticos e dá outras providências. Diário Oficial da União, 1999 [online]. Available from: <>.
28. Aguiar, G and da Silva Júnior, L A and Magalhães Ferreira, M A. Ilegibilidade e ausência de informação nas prescrições médicas: fatores de risco relacionados a erros de medicação. Rev Bras Promoc Saude [online]. 2006, vol. 19, p. 84-91.
29. Cohen, M R and Smetzer, J L. Preventing dispensing errors. American Pharmaceutical Association, 2006.
30. Making health care safer II: an updated critical analysis of the evidence for patient safety practices. Comparative effectiveness review n. 211. (prepared by the Southern California-RAND Evidence-based Practice Center under Contract n. 290–2007–10062-I) AHRQ Publication n. 13–E001-EF. Rockville, MD: Agency for Healthcare Research and Quality. March 2013 [online]. Available from: <>.
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