Mostrar el registro sencillo del documento

dc.rights.licenseAtribución-SinDerivadas 4.0 Internacional
dc.contributor.advisorGaitán Duarte, Hernando Guillermo
dc.contributor.authorMuñoz Medina, Sofia Elizabeth
dc.date.accessioned2021-09-07T22:22:29Z
dc.date.available2021-09-07T22:22:29Z
dc.date.issued2021-09
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/80119
dc.descriptionIlustraciones
dc.description.abstractIntroduction: It is estimated that between 10% to 36% of hospitalized patients suffer some type of involuntary damage. The number vary according to the type of hospital and the method of reporting. The objective was to determine the incidence of reportable events with serious unwanted effects in highly complex hospitals described in the literature and make an estimate in group, by subgroups according to the risk and methodology used. Materials and methods: Systematic review and meta-analysis of primary studies carried out in highly complex institutions, including university hospitals, who have presented serious unwanted effects during their hospitalization. Search by two reviewers in electronic databases and manual in English and Spanish languages without date limit, evaluating bias with tools for incidence studies in terms of proportion. A meta-analysis of proportions with and without transformation was performed, with evaluation of the heterogeneity of the studies and estimating the predictive value for proportions. PROSPERO registration: CRD42020181786. Results: 19 studies were chosen, an incidence of serious reportable events was found between 0.3% to 29%, in 6 studies a meta-analysis of the incidence of serious events that ending in disability, medical o surgical intervention and death of 7% (95% CI: 6% - 7%). The events that most led to serious events were related to organ damage that happened in surgery. In most studies, preventable events were between 59% and 71%, however the information found doesn’t allow us to differentiate which of the serious events are preventable. Conclusions: Events that lead to disability and death should be prioritized in detection to avoid these outcomes, being one of the main concerns in healthcare focused on patient safety.
dc.description.abstractIntroducción: Se calcula que entre el 10% al 36% de los pacientes hospitalizados sufren algún tipo de daño involuntario, las cifras varían según el tipo de hospital y reporte, sin que exista una estimación agrupada de eventos serios en hospitales de alta complejidad. El objetivo de este estudio fue determinar la incidencia de los eventos reportables con efectos no deseados serios en hospitales de alta complejidad descritos en la literatura y hacer una estimación agrupada, por subgrupos de riesgo y de metodología utilizada. Materiales y métodos: Revisión sistemática y metaanálisis de estudios primarios realizados en instituciones de alta complejidad incluyendo hospitales universitarios en pacientes que hayan presentado eventos reportables con efectos no deseados serios durante su hospitalización. Búsqueda por dos revisores en bases de datos electrónicas y manual en idiomas inglés y español sin límite de fecha, evaluando el sesgo con herramientas para estudios de incidencia. Se realizó un metaanálisis de proporciones con y sin transformación, con evaluación de heterogeneidad de los estudios y estimando el valor predictivo para proporciones. Registro PROSPERO: CRD42020181786. Resultados: 19 estudios fueron elegidos, se encontró una incidencia de eventos serios entre 0.3% a 29%, en 6 estudios se realizó un metaanálisis de incidencia de eventos serios que terminaron en discapacidad, intervención médica o quirúrgica de urgencia y muerte de 7% (IC 95%: 6% - 7%). La mayor frecuencia de eventos que llevan a eventos serios fue relacionada con daño de órgano en salas de cirugía. En la mayoría de los estudios los eventos prevenibles fueron entre 59% a 71% sin embargo, la información encontrada no permite diferenciar cuales de los eventos serios son prevenibles. Conclusiones: Eventos que conducen a discapacidad y muerte se deben priorizar en la detección con el fin de evitar estos desenlaces, siendo una de las principales preocupaciones en la asistencia sanitaria enfocadas en la seguridad del paciente. (Texto tomado de la fuente).
dc.format.extent133 páginas
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc610 - Medicina y salud
dc.titleIncidencia de eventos reportables con efectos no deseados serios asociados al cuidado de la salud en hospitales de alta complejidad. Revisión sistemática y metaanálisis
dc.typeTrabajo de grado - Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programBogotá - Medicina - Maestría en Epidemiología Clínica
dc.contributor.researchgroupEVALUACION DE TECNOLOGIAS Y POLITICAS EN SALUD
dc.description.degreelevelMaestría
dc.description.degreenameMagíster en Epidemiología Clínica
dc.description.researchareaSeguridad del paciente
dc.identifier.instnameUniversidad Nacional de Colombia
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourlhttps://repositorio.unal.edu.co/
dc.publisher.facultyFacultad de Medicina
dc.publisher.placeBogotá, Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.relation.references1. World Health Organization (WHO). Marco Conceptual de la Clasificación Internacional para la Seguridad del Paciente Informe Técnico Definitivo Enero de 2009. WHO [Internet]. 2009 [Citado 2019 Jul 02];1-160. Disponible en: https://www.who.int/patientsafety/implementation/icps/icps_full_report_es.pdf.
dc.relation.references2. Bañeres J, Cavero E, López L, Orrego C, Suñol R. Sistemas de registro y notificación de incidentes y eventos adversos. Ministerio de Sanidad y Consumo [Internet]. 2006 [Citado 2019 Jul 10];153. Disponible en: https://www.seguridaddelpaciente.es/resources/documentos/sistemasregistronotificacionincidentesea.pdf.
dc.relation.references3. Davis P, Lay-Yee R, Briant R, Schug S, Scott A, Johnson S. Adverse events in New Zealand public hospitals: principal findings from a national survey. Wellington: New Zealand Ministry of Health [Internet]. 2001. [Citado 2019 Jul 10] Disponible en: http://www.moh.govt.nz/moh.nsf
dc.relation.references4. Estrada K, Gaitán H, Moreno S, Moreno J. Reportable hospital events: incidence and contributing factors in the surgery service of a high complexity hospital in Bogotá, Colombia. Colombian Journal of Anestesiology. 2017;47(1):5-13. doi: https://dx.doi.org/10.1097/cj9.0000000000000091.
dc.relation.references5. Gaitán H, Eslava J, Rodriguez N, Forero V, Santofimio D, Altahona H, et al. Incidencia y evitabilidad de eventos adversos en pacientes hospitalizados en tres instituciones hospitalarias en Colombia, 2006. Revista Salud Publica. 2008;10(2):215-26. Disponible en: https://scielosp.org/article/rsap/2008.v10n2/215-226/.
dc.relation.references6. INVIMA. Informe De Análisis De Eventos Adversos Serios Nacionales En Ensayos Clínicos Con Medicamentos Reportados En El Año 2015 [Internet]. 2015 [Citado 2019 Dic 01]; 12. Disponible en: https://www.invima.gov.co/images/pdf/inspecion_y_vigilancia/buenas-practicas-clinicas/Informe_EASa_2015.pdf.
dc.relation.references7. Bonnabry P, Despont-Gros C, Grauser D, Casez P, Despond M, Pugin D, et al. A risk analysis method to evaluate the impact of a computerized provider order entry system on patient safety. J Am Med Inform Assoc. 2008;15(4):453-60. doi: https://doi.org/10.1197/jamia.M2677.
dc.relation.references8. Khorsandi M, Skouras C, Beatson K, Alijani A. Quality review of an adverse incident reporting system and root cause analysis of serious adverse surgical incidents in a teaching hospital of Scotland. Patient Saf Surg. 2012;6(1):21. doi: https://doi.org/10.1186/1754-9493-6-21.
dc.relation.references9. Zegers M, de Brujine M, de Keizer B, Merten H, Groenewegen PP, van der Wal G, et al. The incidence, root-causes, and outcomes of adverse events in surgical units: implication for potential prevention strategies. Patient Saf Surg. 2011;20(5):1-13. doi: https://doi.org/10.1186/1754-9493-5-13.
dc.relation.references10. Kennerly DA, Kudyakov R, da Graca B, et al. Characterization of adverse events detected in a large health care delivery system using an enhanced global trigger tool over a five-year interval. Health Services Research. 2014;49(5):1407-25. doi: https://doi.org/10.1111/1475-6773.12163.
dc.relation.references11. Davis P, Lay-Yee R, Briant R, Ali W, Scott A, Schug S. Adverse events in New Zealand public hospitals I: occurrence and impact. N Z Med J. 2002;115(1167):U271. PMID: 12552260.
dc.relation.references12. Ministerio de la Protección Social. Seguridad del paciente y la atención segura. Paquetes instruccionales: Guía técnica “Buenas prácticas para la seguridad del paciente en la atención en salud” [Internet]. 2009 [Citado 2020 Ago 12];2:1-101. Disponible en: www.minproteccionsocial.gov.co.
dc.relation.references13. Ministerio de la Protección Social. Resolución número 1146 de 8 mayo de 2006 [Internet]. 2006 [Citado 2019 Jul 10]:83. Disponible en: https://www.minsalud.gov.co/Normatividad_Nuevo/RESOLUCI%C3%93N%201446%20DE%202006%20-%20ANEXO%20T%C3%89CNICO.pdf.
dc.relation.references14. Torres A. Intervenciones dirigidas a la prevención de eventos adversos basadas en sistemas de gestión de riesgo clínico en instituciones hospitalarias. Revisión sistemática. Universidad Nacional de Colombia; 2010. [Tesis] Disponible en: https://repositorio.unal.edu.co/handle/unal/11284.
dc.relation.references15. Wilson RM, Runciman W, Gibberd RW, Harrison BT, Newby L, Hamilton JD. The Quality in Australian Health Care Study. Med J Aust. 1995;163(9):458-71. doi: https://doi.org/10.5694/j.1326-5377.1995.tb124691.x.
dc.relation.references16. Ovalle D. Diferencias en los costos directos causados por los eventos adversos entre los servicios médicos y quirúrgicos, en una institución de segundo nivel en Bogotá. Universidad Nacional de Colombia; 2013. [Tesis] Disponible en: http://www.bdigital.unal.edu.co/44349/1/94150244.2013.pdf.
dc.relation.references17. Zeeshan MF, Dembe AE, Seiber EE, Lu B. Incidence of adverse events in an integrated US healthcare system: a retrospective observational study of 82,784 surgical hospitalizations. Patient Saf Surg. 2014;8:23. doi: https://doi.org/10.1186/1754-9493-8-23.
dc.relation.references18. Organización Mundial de la Salud. 10 datos sobre la seguridad del paciente 2019 [Internet]. [Citado 2019 Ago 10] Disponible en: https://www.who.int/features/factfiles/patient_safety/es/.
dc.relation.references19. Gutiérrez-Mendoza LM, Torres-Montes A, Soria-Orozco M, Padrón-Salas A, Ramírez-Hernández ME. Costos de eventos adversos graves en un Hospital Comunitario de Enseñanza en México. Cirugía y Cirujanos. 2015;83(3):211-6. doi: https://doi.org/10.1016/j.circen.2015.09.021.
dc.relation.references20. Aranaz JM, Aibar C, Limón R, Amarilla A, Restrepo FR, Urroz O, et al. Prevalence of adverse events in the hospitals of five Latin American countries: results of the 'Iberoamerican Study of Adverse Events' (IBEAS). BMJ Qual Saf. 2011;20(12):1043-51. doi: https://doi.org/10.1136/bmjqs.2011.051284.
dc.relation.references21. Rocco C, Garrido A. Seguridad del paciente y cultura de seguridad. Revista Médica Clínica Las Condes. 2017;28(5):785-95. doi: https://doi.org/10.1016/j.rmclc.2017.08.006.
dc.relation.references22. Carvalho M, Vieira A. Medical errors in hospitalized patients. Jornal de Pediatria. 2002;78(4):261-8. doi: https://doi.org/10.1590/S0021-75572002000400004.
dc.relation.references23. Gray AC. Adverse events and the National Health Service: an economic perspective a report to the National Patient Safety Agency. 2005.
dc.relation.references24. Gray SL HL, Perera S, Semla TP, Schmader KE, Hanlon JT. Meta-analysis of Interventions to Reduce Adverse Drug Reactions in Older Adults. J Am Geriatr Soc. 2018;66(2):282-8. doi: https://doi.org/10.1111/jgs.15195.
dc.relation.references25. Schwendimann R, Blatter C, Dhaini S, Simon M, Ausserhofer D. The occurrence, types, consequences and preventability of in-hospital adverse events – a scoping review. BMC Health Serv Res. 2018;18:521. doi: https://doi.org/10.1186/s12913-018-3335-z.
dc.relation.references26. de Vries EN, Ramrattan MA, Smorenburg SM, Gouma DJ, Boermeester MA. The incidence and nature of in-hospital adverse events: a systematic review. Qual Saf Health Care 2008;17(3):216-23. doi: https://doi.org/10.1136/qshc.2007.023622.
dc.relation.references27. Aranaz-Andrés JM, Limón R, Mira JJ, Aibar C, Gea MT, Agra Y, et al. What makes hospitalized patients more vulnerable and increases their risk of experiencing an adverse event? Int J Qual Health Care. 2011;23(6):705-12. doi: https://doi.org/10.1093/intqhc/mzr059.
dc.relation.references28. London JW, Smalley KJ, Conner K, Smith JB. The automation of clinical trial serious adverse event reporting workflow. Clini Trials. 2009;6(5):446-54. doi: https://doi.org/10.1177/1740774509344778.
dc.relation.references29. Organización Mundial de la Salud. Seguridad del paciente: medidas mundiales en materia de seguridad del paciente: informe del Director General. Asamblea Mundial de la Salud, 72 [Internet]. 2019 [Citado 2020 Ago 15]:9. Disponible en: https://apps.who.int/iris/handle/10665/328697.
dc.relation.references30. Ministerio de la Protección Social. Herramientas para promover la estrategia de la seguridad del paciente en el Sistema Obligatorio de Garantía de Calidad de la Atención en Salud [Internet]. 2007 [Citado 2020 Ago 16]:1-223. Disponible en: www.minproteccionsocial.gov.co
dc.relation.references31. Zegers M, De Bruijne MC, Spreeuwenberg P, Wagner C, Van Der Wal G, Groenewegen PP. Variation in the rates of adverse events between hospitals and hospital departments. Int J Qual Health Care. 2011;23(2):126-33. doi: https://doi.org/10.1093/intqhc/mzq086.
dc.relation.references32. Organización Mundial de la Salud. Presupuesto por programas 2020-2021. 72ª Asamblea Mundial de la Salud [Internet]. 2019 [Citado 2020 Dic 12];1-4. Disponible en: https://apps.who.int/gb/ebwha/pdf_files/WHA72/A72_R1-sp.pdf.
dc.relation.references33. World Health Organization. WHO guidelines for safe surgery 2009: safe surgery saves lives. WHO [Internet]. 2009 [Citado 2019 Jul 10]:1-133. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/44185/9789241598552_eng.pdf?sequence=1
dc.relation.references34. FDA. What is a Serious Adverse Event? 2016. [Citado 2020 Ene 17] Disponible en: https://www.fda.gov/safety/reporting-serious-problems-fda/what-serious-adverse-event
dc.relation.references35. World Health Organization. WHO Draft guidelines for adverse event reporting and learning systems. WHO [Internet]. 2005 [Citado 2020 Ene 17];1-80. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/69797/WHO-EIP-SPO-QPS-05.3-eng.pdf
dc.relation.references36. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279(15):1200-5. doi: https://doi.org/10.1001/jama.279.15.1200
dc.relation.references37. Miguel A, Azevedo LF, Araújo M, Pereira AC. Frequency of adverse drug reactions in hospitalized patients: a systematic review and meta-analysis. Pharmacoepidemiol Drug Saf. 2012;21(11):1139-54. doi: https://doi.org/10.1002/pds.3309
dc.relation.references38. Hartwig SC, Denger SD, Schneider PJ. Severity-indexed, incident report-based medication error-reporting program. Am J Hosp Pharm. 1991;48(12):2611-6. PMCID: 1814201
dc.relation.references39. Unbeck M, Schildmeijer K, Henriksson P, Jürgensen U, Muren O, Nilsson L, Pukk Härenstam K. Is detection of adverse events affected by record review methodology? an evaluation of the "Harvard Medical Practice Study" method and the "Global Trigger Tool". Patient Saf Surg. 2013;7(1):10. doi: https://doi.org/10.1186/1754-9493-7-10
dc.relation.references40. Reason J. Human error: models and management. BMJ. 2000;320(7237):768-70. doi: https://doi.org/10.1136/bmj.320.7237.768
dc.relation.references41. Michel P, Quenon JL, de Sarasqueta AM, Scemama O. Comparison of three methods for estimating rates of adverse events and rates of preventable adverse events in acute care hospitals. BMJ. 2004;328(7433):199. doi: https://doi.org/10.1136/bmj.328.7433.199
dc.relation.references42. Griffin FA, Resar RK. IHI Global Trigger Tool for Measuring Adverse Events (Second Edition). In: Cambridge, MA: Institute for Healthcare Improvement. IHI Innovation Series white paper [Internet]. 2009 [Citado 2020 Jul 10]. Disponible en: http://www.ihi.org/resources/Pages/IHIWhitePapers/IHIGlobalTriggerToolWhitePaper.aspx
dc.relation.references43. The Joint Commission. Sentinel Event Policy and Procedures [Internet]. 1996 [Citado 2020 Ene 17]. Disponible en: https://www.jointcommission.org/resources/patient-safety-topics/sentinel-event/sentinel-event-policy-and-procedures/?_ga=2.122105611.1066669954.1614913659-1403934530.1614913659
dc.relation.references44. National Cancer Institute, National Institute of Health. Common Terminology Criteria for Adverse Events (CTCAE)) [Internet]. Versión 5.0. 2017 [Citado 2020 Ene 17]. Disponible en: https://ctep.cancer.gov/protocoldevelopment/electronic_applications/ctc.htm#ctc_50
dc.relation.references45. Nabhan M, Elraiyah, T, Brown DR, et al. What is preventable harm in healthcare? A systematic review of definitions. BMC Health Serv Res. 2012;12:128. doi: https://doi.org/10.1186/1472-6963-12-128
dc.relation.references46. Nilsson L, Borgstedt-Risberg M, Soop M, et al. Incidence of adverse events in Sweden during 2013–2016: a cohort study describing the implementation of a national trigger tool. BMJ Open. 2018;8:1-8. doi: https://doi.org/10.1136/bmjopen-2017-020833
dc.relation.references47. Ministerio de Salud y Protección Social. Gestión integral del riesgo en salud. Perspectiva desde el Aseguramiento en el contexto de la Política de Atención Integral en Salud. In: Ministerio de Salud y Protección Social Bogotá: Dirección de Regulación de la Operación del Aseguramiento en Salud, Riesgos Laborales y Pensiones [Internet]. 2018 [Citado 2020 Jul 10]. p. 1-63. Disponible en: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VP/DOA/girs-prespectiva-desde-aseguramiento.pdf
dc.relation.references48. Kovach J, Revere L, Black K. Error proofing healthcare: An analysis of low cost, easy to implement and effective solutions. Leadership in Health Services. 2013;26(2):107-17. doi: https://doi.org/10.1108/17511871311319704
dc.relation.references49. Kazemi R, Mosleh A, Dierks M. A Hybrid Methodology for Modeling Risk of Adverse Events in Complex Health-Care Settings. Risk Anal. 2017;37(3):421-40. doi: https://doi.org/10.1111/risa.12702
dc.relation.references50. Taylor-Adams S, Vincent C. Systems analysis of Clinical Incidents the London Protocol. Clinical Risk. 2004:1-21. doi: https://doi.org/10. 10.1258/1356262042368255
dc.relation.references51. Benzaquen J, Carlos M, Norero G, Armas H, Pacheco H. Quality in private health companies in Peru: The relation of QMS & ISO 9000 principles on TQM factor. International Journal of Healthcare Management. 2019:1-9. doi: https://doi.org/10.1080/20479700.2019.1644472
dc.relation.references52. Hughes RG. Chapter 44. Tools and Strategies for Quality Improvement and Patient Safety. Patient Safety and Quality: An Evidence-Based Handbook for Nurses. US: Agency for Healthcare Research and Quality. 2008. Disponible en: https://www.ncbi.nlm.nih.gov/books/NBK2682/
dc.relation.references53. Ammerman Max. Chapter 7: Determine The Root Cause The Root Cause Analysis Handbook A Simplified Approach to Identifying, Correcting, and Reporting Workplace Errors. In: Productivity Press, editor. 1998. doi: https://doi.org/10.1148/rg.2015150067
dc.relation.references53. Ammerman Max. Chapter 7: Determine The Root Cause The Root Cause Analysis Handbook A Simplified Approach to Identifying, Correcting, and Reporting Workplace Errors. In: Productivity Press, editor. 1998. doi: https://doi.org/10.1148/rg.2015150067
dc.relation.references54. Brook OR, Kruskal JB, Eisenberg RL, Larson DB. Root Cause Analysis: Learning from Adverse Safety Events. Radiographics. 2015;35(6):1655-67
dc.relation.references55. Ljubic M, Rakovic B, Dimitrov L, Garvanov I. Training of workers as an important safety measure for risk management. 19th International Symposium on Electrical Apparatus and Technologies (SIELA). 2016;1-3. doi: https://doi.org/10.1109/SIELA.2016.7543022
dc.relation.references56. Santacruz J, Rodríguez J, Fajardo G, Hernández F, Básica L. Curso Evaluación y Mejora de la Calidad de Atencion y La Seguridad Del Paciente. Comision Nacional De Arbitraje Medido; México2011 [Internet]
dc.relation.references57. Ministerio de Salud. Evaluación de la frecuencia de eventos adversos y monitoreo de aspectos claves relacionados con la seguridad del paciente Guía técnica “Buenas prácticas para la seguridad del paciente en la atención en salud” versión 2.0 [Internet]. 2010. [Citado 2020 Sep 12] Disponible en: https://www.minsalud.gov.co/2010
dc.relation.references58. Brennan TA, Leape LL, Laird NM, Hebert L, Localio AR, Lawthers AG, et al. Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. N Engl J Med 1991;324(6):370-6. doi: https://doi.org/10.1056/NEJM199102073240604
dc.relation.references59. Vincent C, Neale G, Woloshynowych M. Adverse events in British hospitals: preliminary retrospective record review. BMJ. 2001;322(7285):517-9. doi: https://doi.org/10.1136/bmj.322.7285.517
dc.relation.references60. Schiøler T LH, Pedersen BL, Mogensen TS, Bech KB, Stockmarr A, et al. Danish Adverse Event Study. Forekomsten af utilsigtede haendelser på sygehuse. En retrospektiv gennemgang af journaler [Incidence of adverse events in hospitals. A retrospective study of medical records]. Ugeskr Laeger. 2001;163(39):5370-8. PMCID: 11590953
dc.relation.references61. Howell AM, Burns EM, Hull L, Mayer E, Sevdalis N, Darzi A. International recommendations for national patient safety incident reporting systems: an expert Delphi consensus-building process. BMJ Qual Saf. 2017;26(2):150-63. doi: https://doi.org/10.1136/bmjqs-2015-004456
dc.relation.references62. Deilkås ET, Risberg MB, Haugen M, Lindstrøm JC, Nylén U, Rutberg H, Michael S. Exploring similarities and differences in hospital adverse event rates between Norway and Sweden using Global Trigger Tool. BMJ Open. 2017;7(3):e012492. doi: https://doi.org/10.1136/bmjopen-2016-012492
dc.relation.references63. Lancis-Sepúlveda M, Asenjo-Araya C. Estudio de incidencia de eventos adversos en una clínica privada en Chile. Revista de Calidad Asistencia. 2014;29(2):78-83. doi: https://doi.org/10.1016/j.cali.2013.10.003
dc.relation.references64. Aranaz-Andrés JM, Aibar-Remón C, Vitaller-Burillo J, Requena-Puche J, Terol-García E, Kelley E, et al. Impact and preventability of adverse events in Spanish public hospitals: results of the Spanish National Study of Adverse Events (ENEAS). Int J Qual Health Care. 2009;21(6):408-14. doi: https://doi.org/10.1093/intqhc/mzp047
dc.relation.references65. Hennekens C, Buring J. Meausures of Disease Frequency and Association. In: Williams & Wilkins, editor. Epidemiology in Medicine. 1a ed: Philadelphia: Lippincott; 1987
dc.relation.references66. Kleinbaum D, Kupper L, Morgenstern H. Epidemiologic Research: Principles and Quantitative Methods. 1a ed. New York: Van Nostrand Reinhold; 1982
dc.relation.references67. Szklo M, Nieto FJ. Epidemiología Intermedia: Conceptos y aplicaciones. 1ª ed. Madrid: Díaz de Santos; 2006
dc.relation.references68. Vallejo MT. Estimadores de Frecuencia en la Detección de Eventos Adversos en Cuidado Ambulatorio – Revisión Sistemática: Universidad Nacional de Colombia; 2013. [Tesis] Disponible en: https://repositorio.unal.edu.co/bitstream/handle/unal/51663/53012743.2013.pdf?sequence=1&isAllowed=y
dc.relation.references69. Ministerios de sanidad, Servicios sociales e igualdad. Revisión Sistemática de Eventos Adversos y Costes de la No Seguridad Las infecciones asociadas a la atención sanitaria. In: Ministerios de sanidad, Servicios sociales e igualdad editor [Internet]. 2015 [Citado 2020 Ago 15]. p. 71. Disponible en: https://www.seguridaddelpaciente.es/resources/documentos/2015/COSTES%20DE%20LA%20NO%20SEGURIDAD_Infecciones.pdf
dc.relation.references70. Areiza S, Pérez A, Flórez A. Costos de no calidad relacionados con incidentes, eventos adversos y productos no conformes internos en el laboratorioclínico Prolab S.A.S durante el primer semestre de 2016: Universidad CES [Internet]. 2017 [Citado 2020 Sep 13]. Disponible en: http://m.smshungama.in/bitstream/10946/373/1/Costos%20no%20Calidad%20Laboratorio%20Cl%C3%ADnico.pdf
dc.relation.references71. Pinzón JF, Maldonado C, Díaz JA, Segura O. Costos directos e impacto sobre la morbimortalidad hospitalaria de eventos adversos prevenibles a medicamentos en una institución de tercer nivel de Bogotá. Biomedica. 2011;31(3):307-15. doi: https://doi.org/10.7705/biomedica.v31i3.320
dc.relation.references72. Jha AK, Prasopa-Plaizier N, Larizgoitia I, Bates DW, Research Priority Setting Working Group of the WHO World Alliance for Patient Safety. Patient safety research: an overview of the global evidence. Qual Saf Health Care. 2010;19(1):42-7. doi: https://doi.org/10.1136/qshc.2008.029165
dc.relation.references73. Rutberg H, Borgstedt Risberg M, Sjödahl R, et al. Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method. BMJ Open 2014;4:e004879. doi: https://doi.org/10.1136/bmjopen-2014-004879
dc.relation.references74. Garzón V, López J, Muñoz C, Suárez G. Proyecto seguridad del paciente del Hospital Psiquiátrico Universitario del Valle E.S.E. Cali: Universidad Católica de Manizales; 2013. [Tesis] Disponible en: http://repositorio.ucm.edu.co:8080/jspui/bitstream/handle/10839/642/Viviana%20Garzon%20Rodriguez.pdf?sequence=1&isAllowed=y
dc.relation.references75. Gerencia Regional de Salud. Guía de Seguridad en la Atención a Personas con Trastornos Mentales. In: Junta de Castilla y León, editor. Castilla: Gráficas Germinal [Internet]. 2009 [Citado 2020 Sep 13] p. 192. Disponible en: htpps:///C:/Users/sofia/Downloads/SACYL%202009%20Guia%20de%20Seguridad%20en%20la%20Atenci%C3%B3n%20de%20PCEM.pdf
dc.relation.references76. Riquelme G, Ourcilleón A. Descripción de eventos adversos en un hospital pediátrico de la ciudad de Santiago, Chile. Enferm glob. 2013;12(29):262-73. Disponible en: http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1695-61412013000100013&lng=es
dc.relation.references77. S Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Higgins JPT. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019;366: l4898. doi: https://doi.org/10.1136/bmj.l4898
dc.relation.references78. Sterne J, Hernán M, Reeves B, Savovic J, Berkman N, Viswanathan M, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919. doi: https://doi.org/10.1136/bmj.i4919
dc.relation.references79. Hayden JA, Côté P, Bombardier C. Evaluation of the quality of prognosis studies in systematic reviews. Annals of Internal Medicine. 2006;144(6):427-37. doi: https://doi.org/10.7326/0003-4819-144-6-200603210-00010
dc.relation.references80. The Joanna Briggs Institute. Critical Appraisal tools for use in JBI Systematic Reviews Checklist for Prevalence Studies. In: The Joanna Briggs Institute, editor. 2017. p. 1-7. Disponible en: http://joannabriggs.org/research/critical-appraisal-tools.html
dc.relation.references81. Loney PL, Chambers LW, Bennett KJ, Roberts JG, Stratford PW. Critical appraisal of the health research literature: prevalence or incidence of a health problem. Chronic Dis Can. 1998;19(4):170-6. PMCID: 10029513
dc.relation.references82. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1. doi: https://doi.org/10.1186/2046-4053-4-1
dc.relation.references83. Nyaga VN, Arbyn M, Aerts M. Metaprop: a Stata command to perform meta-analysis of binomial data. Arch Public Health. 2014;72(1):39. doi: https://doi.org/10.1186/2049-3258-72-39
dc.relation.references84. Wang N. How to conduct a Meta-Analyses of Proportions in R: A Comprehensive Tutorial. 2018. doi: https://doi.org/10.13140/RG.2.2.27199.00161
dc.relation.references85. Lipsey M, Wilson D. Chapter 3: Selecting, Computing and Coding the Effect Size Statistic. In: SAGE Publications, editor. Practical Meta – analysis. 1a ed. California: 2001. p. 34-40
dc.relation.references86. Freeman MF, Tukey JW. Transformations Related to the Angular and the Square Root. The Annals of Mathematical Statistics [Internet]. 1950 [Citado 2020 Ene 15];21(4):607-11. Disponible en: https://www.jstor.org/stable/2236611
dc.relation.references87. Higgins JPT, Deeks JJ. Chapter 7: Selecting studies and collecting data. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. In: The Cochrane Collaboration, editor. 2011. [Citado Ene 18] Disponible en: www.cochrane-handbook.org
dc.relation.references88. Wang C, Lee W. A simple method to estimate prediction intervals and predictive distributions: Summarizing meta-analyses beyond means and confidence intervals. Wiley Research Synthesis Methods. 2019;10:255-66. doi: https://doi.org/10.1002/jrsm.1345
dc.relation.references89. IntHout J, Ioannidis JPA, Rovers MM, et al. Plea for routinely presenting prediction intervals in meta-analysis. BMJ Open. 2016;6:e010247. doi: https://doi.org/10.1136/bmjopen-2015-010247
dc.relation.references90. Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager 5 (RevMan 5). Version 5.3. In: The Cochrane Collaboration, editor. Copenhagen: Nordic Cochrane Centre; 2014
dc.relation.references91. Schünemann H, Brożek J, Guyatt G, Oxman A. GRADE handbook for grading quality of evidence and strength of recommendations [Internet]. 2013 [Citado 2020 Ene 18]. Disponible en: guidelinedevelopment.org/handbook
dc.relation.references92. Rychetnik L, Frommer M. A Schema for Evaluating Evidence on Public Health Interventions. National Public Health Partnership. Melbourne; 2002 [Internet] [Citado 2020 Oct 18]
dc.relation.references93. Lucas-Imbernón F, Aranaz-Andrés J, Gea-Velázquez M, Gallardo-Mártinez D, Limón-Ramírez R, García C. Plan de seguridad clínica del Complejo Hospitalario Universitario de Albacete (CHUA). Diagnóstico inicial: estudio de eventos adversos. Revista de Calidad Asistencial. 2012;27(4):189-96. doi: https://doi.org/10.1016/j.cali.2011.10.005
dc.relation.references94. Steel K, Gertman PM, Crescenzi C, Anderson J. Iatrogenic illness on a general medical service at a University Hospital. The New England Journal of Medicine. 1981; 304(11): 638-42. doi: https://doi.org/10.1056/NEJM198103123041104
dc.relation.references95. Baker G, Norton P, Flintoft V, Blais R, Brown A, Cox J, et al. The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada. CMAJ. 2004;170(11):1678-86. doi: https://doi.org/10.1503/cmaj.1040498
dc.relation.references96. Forster AJ, Asmis TR, Clark HD, Al Saied G, Code CC, Caughey SC, et al. Ottawa Hospital Patient Safety Study. Ottawa Hospital Patient Safety Study: incidence and timing of adverse events in patients admitted to a Canadian teaching hospital. CMAJ. 2004;170(8):1235-40. doi: https://doi.org/10.1503/cmaj.1030683
dc.relation.references97. Weingart SN, Pagovich O, Sands DZ, Li JM, Aronson MD, Davis RB, et al. What can hospitalized patients tell us about adverse events? Learning from patient-reported incidents J Gen Intern Med. 2005;20(9):830-6. doi: https://doi.org/10.1111/j.1525-1497.2005.0180.x
dc.relation.references98. Asavaroengchai S, Sriratanabana J, Hiransuthikula N, Supachutikul A. Identifying adverse events in hospitalized patients using global trigger tool in Thailand. Asian Biomedicine. 2009;3(5):545-50. doi: https://doi.org/10.5372/ABM.V3I5.254
dc.relation.references99. Soop M, Fryksmark U, Köster M, Haglund B. The incidence of adverse events in Swedish hospitals: a retrospective medical record review study. Int J Qual Health Care. 2009;21(4):285-91. doi: https://doi.org/10.1093/intqhc/mzp025
dc.relation.references100. Letaief M, El Mhamdi S, El-Asady R, Siddiqi S, Abdullatif A. Adverse events in a Tunisian hospital: results of a retrospective cohort study. Int J Qual Health Care. 2010;22(5):380-5. doi: https://doi.org/10.1093/intqhc/mzq040
dc.relation.references101. Classen D, Resar R, Griffin F, Federico F, Frankel T, et al. “Global Trigger Tool” Shows That Adverse Events in Hospitals May Be Ten Times Greater Than Previously Measured. Health affairs. 2011;30(4):581-9. doi: https://doi.org/10.1377/hlthaff.2011.0190
dc.relation.references102. O'Leary KJ, Buck R, Fligiel HM, Haviley C, Slade ME, Landler MP, et al. Structured interdisciplinary rounds in a medical teaching unit: improving patient safety. Arch Intern Med. 2011;171(7):678-84. doi: https://doi.org/10.1001/archinternmed.2011.128
dc.relation.references103. De Meester K, Verspuy M, Monsieurs KG, Van Bogaert P. SBAR improves nurse-physician communication and reduces unexpected death: a pre and post intervention study. Resuscitation. 2013;84(9):1192-6. doi: https://doi.org/10.1016/j.resuscitation.2013.03.016
dc.relation.references104. Kurutkan MN, Usta E, Orhan F, Simsekler MC. Application of the IHI Global Trigger Tool in measuring the adverse event rate in a Turkish healthcare setting. Int J Risk Saf Med. 2015;27(1):11-21. doi: https://doi.org/10.3233/JRS-150639
dc.relation.references105. Landis R, Koch G. "The Measurement of Observer Agreement for Categorical Data." Biometrics. 1977;33(1):159-74. doi: https://doi.org/10.2307/2529310
dc.relation.references106. Rafter N, Hickey A, Condell S, Conroy R, O'Connor P, Vaughan D, Williams D. Adverse events in healthcare: learning from mistakes. QJM. 2015;108(4):273-7. doi: https://doi.org/10.1093/qjmed/hcu145
dc.relation.references107. Organización Mundial de la Salud. La Investigación en Seguridad del Paciente. In: Organización Mundial de la Salud, editor [Internet]. 2008 [Citado 2020 Ago 12]. p.11. Disponible en: https://www.who.int/patientsafety/information_centre/documents/ps_research_brochure_es.pdf
dc.relation.references108. Akobeng AK. Principles of evidence based medicine. Arch Dis Child. 2005;90(8):837-40. doi: https://doi.org/10.1136/adc.2005.071761
dc.relation.references109. Landis J, Koch G. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-174. doi: https://doi.org/10.2307/2529310
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.decsAccident prevention
dc.subject.decsPrevención de accidentes
dc.subject.lembPersonal médico y paciente
dc.subject.lembMedical personnel and patient
dc.subject.lembEvaluación de la atención médica
dc.subject.lembEvaluation of medical care
dc.subject.proposalEvento adverso
dc.subject.proposalIncidencia
dc.subject.proposalErrores médicos
dc.subject.proposalSeguridad del paciente
dc.subject.proposalMetaanálisis
dc.subject.proposalAdverse effects
dc.subject.proposalIncidence
dc.subject.proposalMedical errors
dc.subject.proposalPatient safety
dc.subject.proposalMetaanalysis
dc.title.translatedIncidence of reportable events with serious unwanted effects associated with health care in highly complex hospitals. Systematic review and meta-analysis
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2
dcterms.audience.professionaldevelopmentPúblico general


Archivos en el documento

Thumbnail

Este documento aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del documento

Atribución-SinDerivadas 4.0 InternacionalEsta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.Este documento ha sido depositado por parte de el(los) autor(es) bajo la siguiente constancia de depósito