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1.
Rev. calid. asist ; 27(3): 139-145, mayo-jun. 2012.
Article in Spanish | IBECS | ID: ibc-100290

ABSTRACT

Objetivos. Investigar e identificar áreas y problemas prioritarios de la seguridad del paciente y analizar las características de los pacientes y de la asistencia que se asocian a la aparición de eventos adversos (EA). Método. Estudio de cohortes retrospectivo en el que para identificar los EA se revisó la historia clínica (HC) de los pacientes hospitalizados en ocho centros comprometidos con el proyecto. Se recogió información de todos los pacientes atendidos entre el 15 y el 30 de noviembre de 2009. Resultados. De los 927 pacientes, en 40 pacientes se detectó alguna lesión, y en 23 de ellos la asistencia sanitaria estaba relacionada. Así, el porcentaje de pacientes con algún EA relacionado con la asistencia sanitaria fue del 2,48% (intervalo de confianza del 95%, 1,43%-3,54%). La edad, la comorbilidad y los dispositivos invasivos explican la aparición de EA. Se consideró leves al 33,3% (8 EA), moderados al 33,3% (8) y graves al 33,3% (8). Se consideró evitable al 50% de los EA. Conclusiones. La frecuencia hallada de EA es menor, posiblemente debido al diseño del estudio y la idiosincrasia de los pacientes atendidos: edad, comorbilidad y uso de dispositivos invasivos. Los EA encontrados presentan impacto y evitabilidad parecidos a los detectados en el sector público(AU)


Objectives. To investigate and identify priority areas and issues of patient safety and analyse which patient and health care characteristics are related to Adverse Events (AE). Methods. Retrospective cohort study to identify AE reviewing medical records of in-patients. Information was obtained from all patients attended between 15 and 30 November 2009 in eight facilities committed to the project. Results. Of the 927 patients, 40 patients had any injury, of which 23 were related to healthcare. Thus, the percentage of patients with any AE associated with health care was 2.48% (95%CI, 1.43%-3.54%). Age, comorbidity and use of invasive devices explained the occurrence of an AE. Of these, 33.3% (8 AE) were considered slight, 33.3% (8) moderate and 33.3% (8) severe. Half (50%) of AE were considered preventable. Conclusions. The frequency of AE found was low, possibly due to study design and the idiosyncrasy of the patients: age, comorbidity and use of invasive devices. The AE found have a similar impact and preventability as those identified in public sector(AU)


Subject(s)
Humans , Male , Female , Private Management/economics , Private Management/ethics , Private Management/methods , Health Facilities, Proprietary/ethics , Health Facilities, Proprietary/organization & administration , Safety/standards , Causality , Confidentiality/standards , Confidentiality/trends , Private Sector/ethics , Safety/economics , Cohort Studies , Retrospective Studies , Confidence Intervals , Comorbidity
2.
Rev Calid Asist ; 27(3): 139-45, 2012.
Article in Spanish | MEDLINE | ID: mdl-22575818

ABSTRACT

OBJECTIVES: To investigate and identify priority areas and issues of patient safety and analyse which patient and health care characteristics are related to Adverse Events (AE). METHODS: Retrospective cohort study to identify AE reviewing medical records of in-patients. Information was obtained from all patients attended between 15 and 30 November 2009 in eight facilities committed to the project. RESULTS: Of the 927 patients, 40 patients had any injury, of which 23 were related to healthcare. Thus, the percentage of patients with any AE associated with health care was 2.48% (95%CI, 1.43%-3.54%). Age, comorbidity and use of invasive devices explained the occurrence of an AE. Of these, 33.3% (8 AE) were considered slight, 33.3% (8) moderate and 33.3% (8) severe. Half (50%) of AE were considered preventable. CONCLUSIONS: The frequency of AE found was low, possibly due to study design and the idiosyncrasy of the patients: age, comorbidity and use of invasive devices. The AE found have a similar impact and preventability as those identified in public sector.


Subject(s)
Delivery of Health Care/standards , Medical Errors/statistics & numerical data , Patient Safety , Safety Management , Cohort Studies , Female , Humans , Male , Medical Errors/prevention & control , Middle Aged , Private Sector , Retrospective Studies
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