Videos de Experimentos Relacionados
Una estrategia alternativa para el estudio de eventos adversos en la atención médica
L B Andrews1, C Stocking, T Krizek
1Chicago-Kent College of Law and American Bar Foundation, IL 60661-3691, USA.
Lancet (London, England)
|February 1, 1997
Resumen
Los eventos adversos hospitalarios a menudo se subestiman. Este estudio encontró que los errores interactivos y administrativos, junto con los errores individuales, contribuyen significativamente al daño al paciente, destacando la necesidad de estrategias de prevención integrales.
Área de la Ciencia:
- Calidad y seguridad de la atención sanitaria.
- Análisis de error médico Análisis de error médico
- Resultados de la investigación en pacientes.
Sus antecedentes:
- Los datos tradicionales de eventos adversos se basan en registros médicos, lo que potencialmente subrepresenta la verdadera incidencia.
- Los eventos adversos hospitalarios son una preocupación significativa que afecta la seguridad del paciente y los costos de atención médica.
- Comprender el alcance de los eventos adversos es crucial para desarrollar estrategias efectivas de prevención.
Objetivo del estudio:
- Mejorar la comprensión de la incidencia y alcance de los eventos adversos en la atención hospitalaria.
- Identificar las causas y los factores que contribuyen a los eventos adversos.
- Explorar la utilidad de las discusiones de las reuniones clínicas como fuente de datos para el análisis de eventos adversos.
Principales métodos:
- Se empleó un diseño de estudio prospectivo y observacional.
- Los etnógrafos observaron cualitativamente las discusiones sobre el cuidado del paciente en las reuniones clínicas de rutina en tres unidades hospitalarias.
- Se desarrolló un esquema de clasificación para codificar los eventos adversos discutidos y sus causas.
Principales resultados:
- El 17,7% de 1047 pacientes experimentaron al menos un evento adverso grave.
- Los eventos adversos aumentaron con la duración de la estancia hospitalaria (aprox. 6 por ciento por día).
- Las causas incluyeron factores individuales (37,8%), factores interactivos (15,6%) y decisiones administrativas (9,8%).
Conclusiones:
- Los eventos adversos provienen de una amplia gama de causas, incluidos los errores interactivos y administrativos.
- Las discusiones de los proveedores de atención médica durante las reuniones clínicas ofrecen datos valiosos para la prevención proactiva de errores.
- La atención a las causas sistémicas y administrativas es fundamental para mejorar la seguridad del paciente.
Videos de Conceptos Relacionados
01:15Methods of Documentation VI: Case Management Model
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
For example, a patient with a chronic illness...
01:21Types of Reports II: Incident or Occurrence Report
An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
01:18The Scientific Method in Nursing Process
The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be safely...
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be safely...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:24Kaplan-Meier Approach
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
01:20Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...