Resumen
Objetivo: Identificar las herramientas de detección utilizadas en la literatura para detectar reacciones adversas a medicamentos (RAM) en pacientes de cuidados intensivos y la evidencia que respalda el uso rutinario de estas pruebas. Métodos: Se trata de una revisión sistemática de la literatura, basada en estudios primarios relacionados con el tema, publicados en PubMed, Scopus, Web of Science, Lilacs y EMBASE, y en revistas más comunes que publican sobre seguridad del paciente. Resultados: El trabajo incluyó 4 estudios primarios, los resultados muestran a los rastreadores como un método eficaz para identificar RAM en pacientes críticos y sugieren que un modelo ideal es aquel que incluye alertas más eficientes para identificar un mayor número de posibles daños al paciente, compuesto por prescripción o suspensión abrupta de ciertos medicamentos, cambios en pruebas de laboratorio y eventos específicos durante el período de hospitalización, los cuales deberán estar sujetos a modificaciones para adaptarse a la práctica o cultura de las instituciones. Consideraciones finales: La escasez de estudios apunta a la necesidad de realizar más investigaciones en esta área para que se pueda comprender y reproducir mejor el uso de estas herramientas.
Referencias
BHISE V, et al. An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients. BMJ Quality & Safety. 2017; 27(3): 241–6.
BRENNER S, et al. Signal and noise: applying a laboratory trigger tool to identify adverse drug events among primary care patients. BMJ Quality & Safety. 2012; 21(8): 670–5.
BUCKLEY MS, et al. Trigger alerts associated with laboratory abnormalities on identifying potentially preventable adverse drug events in the intensive care unit and general ward. Therapeutic Advances in Drug Safety. 2018; 9(4): 207-217.
COLEMAN JJ e PONTEFRACT SK. Adverse drug reactions. Clin Med (Lond). 2016; 16(5): 481-485.
DIPOTO JP, et al. Evaluation of an Automated Surveillance System Using Trigger Alerts to Prevent Adverse Drug Events in the Intensive Care Unit and General Ward. Drug Safety. 2015; 38(3): 311–7.
GRIFFIN FA e RESAR RK. IHI Global Trigger Tool for Measuring Adverse Events (Second Edition). IHI Innovation Series white paper. Cambridge, Massachusetts: Institute for Healthcare Improvement; 2009. Disponível em: www.IHI.org. Acessado em: 25 de janeiro de 2022.
HIBBERT PD, et al. The application of the Global Trigger Tool: a systematic review. International Journal for Quality in Health Care. 2016.
HOUGLAND P, et al. Performance of International Classification of Diseases, 9th Revision, Clinical Modification Codes as an Adverse Drug Event Surveillance System. Medical Care [Internet]. 2006; 44(7): 629–36. Disponível em: https ://www.jstor.org/stable/40221330. Acessado em: 2 de julho de 2023.
JBI. JBI Manual for Evidence Synthesis. Aromataris E, Munn Z, editors. JBI; 2020.
KANE-GILL SL, et al. Use of Text Searching for Trigger Words in Medical Records to Identify Adverse Drug Reactions within an Intensive Care Unit Discharge Summary. Appl Clin Inform. 2016; 7(3): 660-71.
KHAN LM, et al. Detection of adverse drug reactions by medication antidote signals and comparison of their sensitivity with common methods of ADR detection. Saudi Pharmaceutical Journal. 2015; 23(5): 515–22.
LOPEZ-GONZALEZ E, et al. Determinants of under-reporting of adverse drug reactions: a systematic review. Drug Saf. 2009; 32(1): 19-31.
MARTINS RR, et al. Trigger tools are as effective as non-targeted chart review for adverse drug event detection in intensive care units. Saudi Pharmaceutical Journal [Internet]. 2018 Dec [cited 2020 Jan 30];26(8):1155–61. Disponível em: https ://www.sciencedirect.com/science/article/pii/ S1319016418301427. Acessado em: 25 de janeiro de 2022.
MOLINA FJ, et al. Adverse events in critical care: Search and active detection through the Trigger Tool. World Journal of Critical Care Medicine. 2018; 7(1): 9–15.
MUNN Z, et al. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. International Journal of Evidence-Based Healthcare. 2015 Sep; 13(3): 147–53.
NEBEKER J, et al. Considering sensitivity and positive predictive value in comparing the performance of triggers systems for iatrogenic adverse events. Abstract presented at the Agency for Healthcare Research and Quality Annual Conference. Bethesda, MD, September 2009.
PIERDEVARA L, et al. An experience with the Global Trigger Tool for the study of adverse events in a medical ward. Revista de Enfermagem Referência. IV Série. 2016; 97-106.
PIERDEVARA L, et al. Trigger Tool na Segurança do Doente: Uma Revisão Sistemática de Literatura. Portuguese Journal of Public Health, 2017; 35(2): 69–76.
RATZ Y, et al. The Importance of the Pharmacist in Reporting Adverse Drug Reactions in the Emergency Department. The Journal of Clinical Pharmacology. 2010; 50(10): 1217–21.
SHAMSEER L, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ [Internet]. 201; 349(1): 7647–7. Disponível em: https ://www.bmj.com/content/349/bmj.g7647. Acessado em: 25 de janeiro de 2022.
SHEIKH A, et al. The third global patient safety challenge: tackling medication-related harm. Bulletin of the World Health Organization [Internet]. 2017 Aug 1;95(8):546–6A. Disponível em: https ://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537758/. Acessado em: 25 de janeiro de 2022.
TUFANARU C, et al. Chapter 3: Systematic Reviews of Effectiveness. JBI Manual for Evidence Synthesis. 2020.
WELLS G, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality if nonrandomized studies in meta-analyses. Ottawa Hospital Research Institute [Internet]. www.ohri.ca. 2021. Disponível em: https ://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Acessado em: 7 de março de 2022.
ZAUGG H, et al. Mendeley: Creating communities of scholarly inquiry through research collaboration. TechTrends, 2011; 55(1): p.32-36.
