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11.
Med. clín (Ed. impr.) ; 149(4): 170-175, ago. 2017. tab, graf
Article in Spanish | IBECS | ID: ibc-165588

ABSTRACT

Debemos reconocer el error diagnóstico como un episodio adverso posible e inherente al acto clínico, e incorporarlo con normalidad al resto de los indicadores de calidad asistencial. Por diferentes fuentes de información podemos conocer su frecuencia, aunque probablemente todavía está subestimada. En contra de lo que se podría suponer, en la mayoría de los casos no acontece en enfermedades infrecuentes. Sus causas suelen ser complejas y multifactoriales, con aspectos tanto cognitivos individuales como del sistema. Estos errores pueden tener un gran impacto clínico y socioeconómico. Es necesario aprender de los errores diagnósticos para desarrollar un sistema seguro, propio de una cultura de calidad (AU)


Diagnostic errors have to be recognised as a possible adverse event inherent to clinical activity and incorporate them as another quality indicator. Different sources of information report their frequency, although they may still be underestimated. Contrary to what one could expect, in most cases, it does not occur in infrequent diseases. Causes can be complex and multifactorial, with individual cognitive aspects, as well as the health system. These errors can have an important clinical and socioeconomic impact. It is necessary to learn from diagnostic errors in order to develop an accurate and reliable system with a high standard of quality (AU)


Subject(s)
Humans , Diagnostic Errors/statistics & numerical data , Emergency Treatment/statistics & numerical data , Safety Management/trends , Emergency Service, Hospital/statistics & numerical data , Risk Factors
12.
Med Clin (Barc) ; 149(4): 170-175, 2017 Aug 22.
Article in English, Spanish | MEDLINE | ID: mdl-28571967

ABSTRACT

Diagnostic errors have to be recognised as a possible adverse event inherent to clinical activity and incorporate them as another quality indicator. Different sources of information report their frequency, although they may still be underestimated. Contrary to what one could expect, in most cases, it does not occur in infrequent diseases. Causes can be complex and multifactorial, with individual cognitive aspects, as well as the health system. These errors can have an important clinical and socioeconomic impact. It is necessary to learn from diagnostic errors in order to develop an accurate and reliable system with a high standard of quality.


Subject(s)
Diagnostic Errors , Emergency Service, Hospital , Diagnostic Errors/adverse effects , Diagnostic Errors/prevention & control , Diagnostic Errors/psychology , Diagnostic Errors/statistics & numerical data , Humans , Quality Improvement , Quality Indicators, Health Care
15.
Emergencias (St. Vicenç dels Horts) ; 27(2): 113-120, abr. 2015. ilus, tab
Article in Spanish | IBECS | ID: ibc-138660

ABSTRACT

En los últimos años hemos asistido al despliegue de diferentes medidas de desarrollo de los SUH, pero a pesar de ello los episodios de saturación siguen sucediéndose y el debate en cuanto a sus causas y posibles soluciones sigue abierto. Se trata de un problema universal y en el momento actual las circunstancias socioeconómicas comportan un replanteamiento del sistema sanitario, en el que los SUH tendrán un papel crucial. Recientemente se han consensuado los criterios concretos que definen una situación de saturación en los SUH. Las causas de la saturación son diversas e implican aspectos tanto externos a los SUH como intrínsecos a la propia unidad. Pero los más determinantes son propios de la dinámica hospitalaria, fundamentalmente la dificultad en adjudicación de cama para ingreso y en su disponibilidad real. Esta saturación se asocia a un descenso de la mayoría de indicadores de calidad. Así mismo, se incrementan el número de pacientes que esperan ser atendidos, el tiempo de espera para el inicio de la asistencia y el tiempo de actuación médico-enfermería. Además conlleva un alto riesgo de peores resultados clínicos. Esta situación conduce a la insatisfacción de pacientes, familiares y personal sanitario y a deterioro de aspectos como la dignidad, la comodidad o la confidencialidad. Las propuestas de mejora pasan por asegurar unos mínimos recursos estructurales y de personal, y agilizar algunas exploraciones complementarias, así como implementar áreas de observación y unidades de corta estancia. La respuesta de los centros a los SUH debería incluir alternativas a la hospitalización convencional con dispositivos de diagnóstico rápido, hospitales de día y hospitalización domiciliaria, así como acciones de res- puesta bien definidas a las necesidades de ingreso hospitalario, con agilización de la disponibilidad real de camas. El sistema sanitario por su parte debería mejorar el control de los pacientes crónicos para reducir las necesidades de ingreso, y adecuar la oferta a las necesidades reales de atención sociosanitaria (AU)


Recent years have seen a range of measures deployed to curb crowding in hospital emergency departments, but as episodes of overcrowding continue to occur the discussion of causes and possible solutions remains open. The problem is universal, and efforts to revamp health care systems as a result of current socioeconomic circumstances have put emergency services in the spotlight. Consensus was recently achieved on criteria that define emergency department overcrowding. The causes are diverse and include both external factors and internal ones, in the form of attributes specific to a department. The factors that have the most impact, however, involve hospital organization, mainly the availability of beds and the difficulty of assigning them to emergency patients requiring admission. Crowding is associated with decreases in most health care quality indicators, as departments see increases in the number of patients waiting, the time until initial processing, and the time until a physician or nurse intervenes. Crowding is also associated with risk for more unsatisfactory clinical outcomes. This situation leads to dissatisfaction all around—of patients, families, and staff—as aspects such as dignity, comfort, and privacy deteriorate. Proposals to remedy the problem include assuring that the staff and structural resources of a facility meet minimum standards and are all working properly, facilitating access to complementary tests, and providing observation areas and short-stay units. The response of hospitals to the situation in emergency departments should include alternatives to conventional admission, through means for rapid diagnosis, day hospitals, and home hospitalization as well as by offering a clear response in cases where admission is needed, granting easier access to beds that are in fact available. For its part, the health system overall, should improve the care of patients with chronic diseases, so that fewer admissions are required. It is also essential to search for ways to bring the supply of necessary social and health care services more in step with demand (AU)


Subject(s)
Humans , Health Services Misuse/statistics & numerical data , Emergency Service, Hospital/organization & administration , Emergency Treatment/methods , Admitting Department, Hospital/organization & administration , Chronic Disease/prevention & control , Recurrence
16.
Emergencias ; 27(2): 113-120, 2015.
Article in Spanish | MEDLINE | ID: mdl-29077353

ABSTRACT

EN: Recent years have seen a range of measures deployed to curb crowding in hospital emergency departments, but as episodes of overcrowding continue to occur the discussion of causes and possible solutions remains open. The problem is universal, and efforts to revamp health care systems as a result of current socioeconomic circumstances have put emergency services in the spotlight. Consensus was recently achieved on criteria that define emergency department overcrowding. The causes are diverse and include both external factors and internal ones, in the form of attributes specific to a department. The factors that have the most impact, however, involve hospital organization, mainly the availability of beds and the difficulty of assigning them to emergency patients requiring admission. Crowding is associated with decreases in most health care quality indicators, as departments see increases in the number of patients waiting, the time until initial processing, and the time until a physician or nurse intervenes. Crowding is also associated with risk for more unsatisfactory clinical outcomes. This situation leads to dissatisfaction all around-of patients, families, and staff-as aspects such as dignity, comfort, and privacy deteriorate. Proposals to remedy the problem include assuring that the staff and structural resources of a facility meet minimum standards and are all working properly, facilitating access to complementary tests, and providing observation areas and short-stay units. The response of hospitals to the situation in emergency departments should include alternatives to conventional admission, through means for rapid diagnosis, day hospitals, and home hospitalization as well as by offering a clear response in cases where admission is needed, granting easier access to beds that are in fact available. For its part, the health system overall, should improve the care of patients with chronic diseases, so that fewer admissions are required. It is also essential to search for ways to bring the supply of necessary social and health care services more in step with demand.


ES: En los últimos años hemos asistido al despliegue de diferentes medidas de desarrollo de los SUH, pero a pesar de ello los episodios de saturación siguen sucediéndose y el debate en cuanto a sus causas y posibles soluciones sigue abierto. Se trata de un problema universal y en el momento actual las circunstancias socioeconómicas comportan un replanteamiento del sistema sanitario, en el que los SUH tendrán un papel crucial. Recientemente se han consensuado los criterios concretos que definen una situación de saturación en los SUH. Las causas de la saturación son diversas e implican aspectos tanto externos a los SUH como intrínsecos a la propia unidad. Pero los más determinantes son propios de la dinámica hospitalaria, fundamentalmente la dificultad en adjudicación de cama para ingreso y en su disponibilidad real. Esta saturación se asocia a un descenso de la mayoría de indicadores de calidad. Así mismo, se incrementan el número de pacientes que esperan ser atendidos, el tiempo de espera para el inicio de la asistencia y el tiempo de actuación médico-enfermería. Además conlleva un alto riesgo de peores resultados clínicos. Esta situación conduce a la insatisfacción de pacientes, familiares y personal sanitario y a deterioro de aspectos como la dignidad, la comodidad o la confidencialidad. Las propuestas de mejora pasan por asegurar unos mínimos recursos estructurales y de personal, y agilizar algunas exploraciones complementarias, así como implementar áreas de observación y unidades de corta estancia. La respuesta de los centros a los SUH debería incluir alternativas a la hospitalización convencional con dispositivos de diagnóstico rápido, hospitales de día y hospitalización domiciliaria, así como acciones de respuesta bien definidas a las necesidades de ingreso hospitalario, con agilización de la disponibilidad real de camas. El sistema sanitario por su parte debería mejorar el control de los pacientes crónicos para reducir las necesidades de ingreso, y adecuar la oferta a las necesidades reales de atención sociosanitaria.

18.
Enferm. infecc. microbiol. clín. (Ed. impr.) ; 32(3): 140-146, mar. 2014. ilus, tab
Article in English | IBECS | ID: ibc-120772

ABSTRACT

PURPOSE: To assess the correlation of procalcitonin (PCT), C-reactive protein (CRP), neopterin, mid-regional pro-atrial natriuretic peptide (MR-proANP), and mid-regional pro-adrenomedullin (MR-proADM) with severity risk scores: severe CAP (SCAP) and SMART-COP in patients with community-acquired pneumonia (CAP), as well as short term prognosis and to determine the correlation with mortality risk scores. METHODS: Eighty-five patients with a final diagnosis of pneumonia were consecutively included during a two month period. Epidemiological, clinical, microbiological, and radiological data were recorded. Patients were stratified according to the PSI, CURB-65, SCAP and SMART-COP. Complications were defined as respiratory failure/shock, need of ICU, and death. Plasma samples were collected at admission. RESULTS: MR-proANP and MR-proADM showed significantly higher levels in high risk SCAP group in comparison to low risk. When considering SMART-COP none of the biomarkers showed statistical differences. MR-proADM levels were high in patients with high risk of needing intensive respiratory or vasopressor support according to SMRT-CO. Neopterin and MR-proADM were significantly higher in patients that developed complications. PCT and MR-proADM showed significantly higher levels in cases of a definite bacterial diagnosis in comparison to probable bacterial, and unknown origin. MR-proANP and MR-proADM levels increased statistically according to PSI and CURB-65. CONCLUSIONS: Biomarker levels are higher in pneumonia patients with a poorer prognosis according to SCAP and SMART-COP indexes, and to the development of complications


OBJETIVO: Establecer la correlación entre los niveles de procalcitonina (PCT), proteína C reactiva, neopterina, pro-péptido natriurético auricular (MR-proANP) y pro-adrenomedulina (MR-proADM) y los índices de severidad: severe CAP (SCAP) y SMART-COP en pacientes con neumonía adquirida en la comunidad (NAC), así como el pronóstico a corto plazo, y confirmar su correlación con los índices de severidad PSI y CURB-65. MÉTODOS: Ochenta y cinco pacientes con diagnóstico final de NAC fueron incluidos de forma consecutiva durante 2 meses. Se recogieron los datos epidemiológicos, clínicos, microbiológicos y radiológicos. Los pacientes se clasificaron en función del PSI, CURB-65, SCAP y SMART-COP. Las complicaciones se definieron como insuficiencia respiratoria/shock, ingreso en la UCI o muerte. Las muestras de plasma se recogieron en el momento del ingreso hospitalario. RESULTADOS: Los niveles de MR-proANP y MR-proADM fueron significativamente superiores en aquellos pacientes clasificados como alto riesgo según SCAP en comparación con los de bajo riesgo. Al considerar SMART-COP ninguno de los biomarcadores mostró significación estadística. Los niveles de MR-proADM fueron superiores en los pacientes con alto riesgo de necesitar soporte intensivo/vasopresor según SMRT-CO. Los valores de neopterina y MR-proADM fueron significativamente superiores en pacientes que desarrollaron alguna complicación. En los casos con diagnóstico bacteriano de seguridad, se observaron niveles significativamente más elevados de PCT y MR-proADM, respecto de los casos de probable origen bacteriano o origen desconocido. Los niveles de MR-proANP y MR-proADM se incrementaron en función del PSI y de CURB-65. CONCLUSIONES: Los niveles de biomarcadores son superiores en pacientes con peor pronóstico, según los índices de severidad evaluados, así como con el desarrollo de complicaciones


Subject(s)
Humans , Pneumonia/physiopathology , Inflammation/physiopathology , Cardiovascular Diseases/epidemiology , Biomarkers/analysis , Severity of Illness Index , Inflammation Mediators/analysis
20.
Enferm Infecc Microbiol Clin ; 32(3): 140-6, 2014 Mar.
Article in English | MEDLINE | ID: mdl-24054971

ABSTRACT

PURPOSE: To assess the correlation of procalcitonin (PCT), C-reactive protein (CRP), neopterin, mid-regional pro-atrial natriuretic peptide (MR-proANP), and mid-regional pro-adrenomedullin (MR-proADM) with severity risk scores: severe CAP (SCAP) and SMART-COP in patients with community-acquired pneumonia (CAP), as well as short term prognosis and to determine the correlation with mortality risk scores. METHODS: Eighty-five patients with a final diagnosis of pneumonia were consecutively included during a two month period. Epidemiological, clinical, microbiological, and radiological data were recorded. Patients were stratified according to the PSI, CURB-65, SCAP and SMART-COP. Complications were defined as respiratory failure/shock, need of ICU, and death. Plasma samples were collected at admission. RESULTS: MR-proANP and MR-proADM showed significantly higher levels in high risk SCAP group in comparison to low risk. When considering SMART-COP none of the biomarkers showed statistical differences. MR-proADM levels were high in patients with high risk of needing intensive respiratory or vasopressor support according to SMRT-CO. Neopterin and MR-proADM were significantly higher in patients that developed complications. PCT and MR-proADM showed significantly higher levels in cases of a definite bacterial diagnosis in comparison to probable bacterial, and unknown origin. MR-proANP and MR-proADM levels increased statistically according to PSI and CURB-65. CONCLUSIONS: Biomarker levels are higher in pneumonia patients with a poorer prognosis according to SCAP and SMART-COP indexes, and to the development of complications.


Subject(s)
Cardiovascular Diseases/blood , Inflammation/blood , Pneumonia, Bacterial/blood , Biomarkers/blood , Cardiovascular Diseases/mortality , Female , Humans , Inflammation/mortality , Male , Pneumonia, Bacterial/mortality , Retrospective Studies , Risk Assessment , Severity of Illness Index
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