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1.
Aten. prim. (Barc., Ed. impr.) ; 52(10): 705-711, dic. 2020. tab, graf
Article in Spanish | IBECS | ID: ibc-199591

ABSTRACT

OBJETIVO: Determinar la frecuencia de eventos adversos evitables (EAE) en atención primaria (AP). DISEÑO: Estudio retrospectivo de cohortes. Emplazamiento: consultas de medicina de familia y pediatría de Andalucía, Aragón, Castilla La Mancha, Cataluña, Madrid, Navarra y Comunidad Valenciana. PARTICIPANTES: Se determinó revisar un mínimo de 2.397 historias clínicas (nivel de confianza del 95% y una precisión del 2%). La muestra se estratificó por grupos de edad de forma proporcional a su frecuentación y con revisión paritaria de historias de hombres y mujeres. Mediciones principales: Número y gravedad de los EAE identificados entre febrero de 2018 y septiembre de 2019. RESULTADOS: Se revisaron un total de 2.557 historias clínicas (1.928, 75.4% de pacientes adultos y 629, 24.6% pediátricos). Se identificaron 182 EAE que afectaron a 168 pacientes (7,1%, IC 95% 6,1-8,1%); en adultos 7,6% (IC 95% 6,4-8,8%) y 5,7% (IC 95% 3,9-7,5%) en pacientes pediátricos. Las mujeres sufrieron más EAE que los hombres (p = 0,004). La incidencia de EAE en niños y niñas fue similar (p = 0,3). 6 (4.1%) de los EAE supusieron un daño permanente en pacientes adultos. CONCLUSIONES: Buscar fórmulas para incrementar la seguridad en AP, particularmente en pacientes mujeres, debe seguir siendo un objetivo prioritario incluso en pediatría. Uno de cada 24 EAE supone un daño grave y permanente en el adulto


OBJECTIVE: To determine the frequency of avoidable adverse events (AAEs) in Primary Care (PC). DESIGN: Retrospective cohort study. LOCATION: Family medicine and paediatric clinics in Andalusia, Aragon, Castilla-La Mancha, Catalonia, Madrid, Navarre, and Valencia. PARTICIPANTS: A review was performed on a designated sample of 2,397 medical records (95% confidence level and 2% accuracy). The sample was stratified by age group as regards the frequency of physician consultations and considering equal distribution of male and female patients. MAIN MEASUREMENTS: Number and severity of identified AAEs from February 2018 to September 2019. RESULTS: A total of 2,557 medical records were reviewed (1,928, 75.4% of adult patients, and 629, 24.6% paediatrics). A total of 182 (7.1%, 95% CI 6.1-8.1%) AAEs that affected 168 patients were identified, which included 7.6% (95% CI 6.4-8.8%) in adults and 5.7% (95% CI 3.9-7.5%) in paediatric patients. The number of AAEs in women was higher than in men (P = 0.006). The incidence of AAEs in boys and girls was similar (P = 0.3). Permanent damage was caused by AAEs in 6 (4.1%) adult patients. CONCLUSIONS: Seeking formulas to increase patient safety in PC should remain a priority objective, particularly in female patients and in paediatrics. One in 24 AAEs causes serious and permanent damage in adults


Subject(s)
Humans , Male , Female , Child , Adult , Middle Aged , Aged , Aged, 80 and over , Primary Health Care/statistics & numerical data , Patient Safety/statistics & numerical data , Quality of Health Care/statistics & numerical data , Patient Harm/statistics & numerical data , Retrospective Studies , Trauma Severity Indices , Risk Factors , Spain
2.
Aten Primaria ; 52(10): 705-711, 2020 12.
Article in Spanish | MEDLINE | ID: mdl-32527565

ABSTRACT

OBJECTIVE: To determine the frequency of avoidable adverse events (AAEs) in Primary Care (PC). DESIGN: Retrospective cohort study. LOCATION: Family medicine and paediatric clinics in Andalusia, Aragon, Castilla-La Mancha, Catalonia, Madrid, Navarre, and Valencia. PARTICIPANTS: A review was performed on a designated sample of 2,397 medical records (95% confidence level and 2% accuracy). The sample was stratified by age group as regards the frequency of physician consultations and considering equal distribution of male and female patients. MAIN MEASUREMENTS: Number and severity of identified AAEs from February 2018 to September 2019. RESULTS: A total of 2,557 medical records were reviewed (1,928, 75.4% of adult patients, and 629, 24.6% paediatrics). A total of 182 (7.1%, 95% CI 6.1-8.1%) AAEs that affected 168 patients were identified, which included 7.6% (95% CI 6.4-8.8%) in adults and 5.7% (95% CI 3.9-7.5%) in paediatric patients. The number of AAEs in women was higher than in men (P = 0.006). The incidence of AAEs in boys and girls was similar (P = 0.3). Permanent damage was caused by AAEs in 6 (4.1%) adult patients. CONCLUSIONS: Seeking formulas to increase patient safety in PC should remain a priority objective, particularly in female patients and in paediatrics. One in 24 AAEs causes serious and permanent damage in adults.


Subject(s)
Patient Safety , Primary Health Care , Adult , Child , Female , Humans , Male , Retrospective Studies
3.
Rev. esp. med. prev. salud pública ; 25(1/2): 39-44, 2020. tab, graf
Article in Spanish | IBECS | ID: ibc-194949

ABSTRACT

OBJETIVO: Enunciar un conjunto de recomendaciones para incrementar la resiliencia de las organizaciones y los profesionales sanitarios frente al impacto de la crisis ocasionada por la pandemia de SARS-CoV-2. MÉTODO: Estudio cualitativo para la búsqueda de consenso con participación de 30 profesionales de diferentes disciplinas (medicina preventiva, calidad asistencial, seguridad del paciente, atención primaria, psiquiatría y psicología). Principales resultados: Tras la identificación de las principales fuentes de estrés y la definición de los objetivos de la fase de recuperación, se consensuaron un total de 17 recomendaciones, 13 de ellas con foco organizacional y las cuatro restantes, centradas en profesionales. CONCLUSIONES: La recuperación del sistema sanitario tras la pandemia por la COVID19 pasa por restaurar la moral y el bienestar de sus profesionales, de lo contrario la calidad asistencial y la seguridad de los pacientes se verán comprometidas. Estas recomendaciones pretenden ser un punto de partida en esta dirección


OBJECTIVE: To provide a set of recommendations to increase the resilience of health care organizations and professionals to the impact of the SARS-CoV-2 pandemic crisis. METHOD: Consensual qualitative study with the participation of 30 professionals from different disciplines (preventive medicine, quality of care, patient safety, primary care, psychiatry and psychology). MAIN RESULTS: After the identification of the main sources of stress and the definition of the objectives of the recovery phase, a total of 17 recommendations were agreed upon, 13 of them with an organizational focus and the remaining four focused on professionals. CONCLUSIONS: The recovery of the health system after the COVID19 pandemic requires restoring the morale and well-being of its professionals, otherwise the quality of care and patient safety will be compromised. These recommendations are intended as a starting point in this direction


Subject(s)
Humans , Stress Disorders, Post-Traumatic/psychology , Health Personnel/psychology , Resilience, Psychological , Pandemics , Coronavirus Infections/psychology , Pneumonia, Viral/psychology , Mental Health/standards , Disaster Recovery , Severe Acute Respiratory Syndrome/psychology , Employment/organization & administration , Medical Staff/psychology , Medical Staff/standards
4.
BMC Public Health ; 8: 281, 2008 Aug 08.
Article in English | MEDLINE | ID: mdl-18691407

ABSTRACT

BACKGROUND: Preventive activities carried out in primary care have important variability that makes necessary to know which factors have an impact in order to establish future strategies for improvement. The present study has three objectives: 1) To describe the variability in the implementation of 7 preventive services (screening for smoking status, alcohol abuse, hypertension, hypercholesterolemia, obesity, influenza and tetanus immunization) and to determine their related factors; 2) To describe the degree of control of 5 identified health problems (smoking, alcohol abuse, hypertension, hypercholesterolemia and obesity); 3) To calculate intraclass correlation coefficients. DESIGN: Multi-centered cross-sectional study of a randomised sample of primary health care teams from 3 regions of Spain designed to analyse variability and related factors of 7 selected preventive services in years 2006 and 2007. At the end of 2008, we will perform a cross-sectional study of a cohort of patients attended in 2006 or 2007 to asses the degree of control of 5 identified health problems. All subjects older than 16 years assigned to a randomised sample of 22 computerized primary health care teams and attended during the study period are included in each region providing a sample with more than 850.000 subjects. The main outcome measures will be implementation of 7 preventive services and control of 5 identified health problems. Furthermore, there will be 3 levels of data collection: 1) Patient level (age, gender, morbidity, preventive services, attendance); 2) Health-care professional level (professional characteristics, years working at the team, workload); 3) Team level (characteristics, electronic clinical record system). Data will be transferred from electronic clinical records to a central database with prior encryption and dissociation of subject, professional and team identity. Global and regional analysis will be performed including standard analysis for primary health care teams and health-care professional level. Linear and logistic regression multilevel analysis adjusted for individual and cluster variables will also be performed. Variability in the number of preventive services implemented will be calculated with Poisson multilevel models. Team and health-care professional will be considered random effects. Intraclass correlation coefficients, standard error and variance components for the different outcome measures will be calculated.


Subject(s)
Practice Patterns, Physicians'/statistics & numerical data , Preventive Health Services/statistics & numerical data , Primary Health Care/standards , Adolescent , Adult , Alcohol Drinking , Cross-Sectional Studies , Female , Humans , Hypercholesterolemia/diagnosis , Hypertension/diagnosis , Male , National Health Programs , Obesity/diagnosis , Primary Health Care/statistics & numerical data , Regression Analysis , Smoking , Spain
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