Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros

Base de dados
País/Região como assunto
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Int J Qual Health Care ; 29(2): 256-261, 2017 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-28453826

RESUMO

OBJECTIVE: To propose an easy predictive model for the risk of rehospitalization, built from hospital administrative data, in order to prevent repeated admissions and to improve transitional care. DESIGN: Retrospective cohort study. SETTING: Azienda Ospedaliero Universitaria Pisana (Pisa University Hospital). PARTICIPANTS: Patients residing in the territory of the province of Pisa (Tuscany Region) with at least one unplanned hospital admission leading to a medical Diagnosis-Related Group (DRG) in the calendar year 2012. INTERVENTION: We compared two groups of patients: patients coded as 'RA30' (readmitted within 30 days after the previous discharge) and patients coded as 'NRA30' (either admitted only once or readmitted after 30 days since the latest discharge). MAIN OUTCOME MEASURES: The effect of age, sex, length of stay, number of diagnoses, normalized number of admissions and presence of diseases on the probability of rehospitalization within 30 days after discharge was evaluated. RESULTS: The significant variables included in the predictive model were: age, odds ratio (OR) = 1.018, 95% confidence interval (CI) = 1.011-1.026; normalized number of admissions, OR = 1.257, CI = 1.225-1.290; number of diagnoses, OR = 1.306, CI = 1.174-1.452 and presence of cancer diagnosis, OR = 1.479, CI = 1.088-2.011. CONCLUSIONS: The model can be easily applied when discharging patients who have been hospitalized after an access to the Emergency Department to predict the risk of rehospitalization within 30 days. The prediction can be used to activate focused hospital-primary care transitional interventions. The model has to be validated first in order to be implemented in clinical practice.


Assuntos
Modelos Teóricos , Readmissão do Paciente/estatística & dados numéricos , Qualidade da Assistência à Saúde/estatística & dados numéricos , Fatores Etários , Estudos de Coortes , Comorbidade , Serviço Hospitalar de Emergência/estatística & dados numéricos , Feminino , Previsões , Humanos , Itália/epidemiologia , Tempo de Internação , Masculino , Neoplasias , Estudos Retrospectivos , Fatores de Risco , Fatores Sexuais
2.
Hum Vaccin Immunother ; 13(2): 283-290, 2017 02.
Artigo em Inglês | MEDLINE | ID: mdl-27929742

RESUMO

Immunological and serological changes that occur during pregnancy can alter the susceptibility of both the mother and the fetus against various infectious diseases. The pregnant woman has an altered immune response and, for some pathologies, is at increased risk of infection and of developing complications and serious outcomes. In addition, maternal infections can result in congenital anomalies, malformations or severe neonatal diseases. Vaccination of pregnant women can therefore have a double goal: to protect the mother from diseases that could have an impact on her health and to avoid infection/disease transmission to the fetus or the newborn. Despite the potential benefits of immunization in pregnant women, it is still evident reluctance and/or refusal of vaccinations by health professionals as well as by pregnant women, who are wary of the real advantages linked to vaccines. For these reasons a group of experts has evaluated the latest scientific evidence reported in the international literature on this relevant topic.


Assuntos
Transmissão Vertical de Doenças Infecciosas/prevenção & controle , Mães , Complicações Infecciosas na Gravidez/prevenção & controle , Gravidez , Vacinação/estatística & dados numéricos , Vacinas/administração & dosagem , Feminino , Humanos , Recém-Nascido
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA