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










Base de dados
Intervalo de ano de publicação
1.
BMJ Open ; 8(4): e020572, 2018 04 20.
Artigo em Inglês | MEDLINE | ID: mdl-29678981

RESUMO

PURPOSE: The Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS) is a system of integrated data on health outcomes, demographic and socioeconomic information, and represents a powerful tool to study health inequalities. PARTICIPANTS: IN-LiMeS is a multicentre and multipurpose pool of metropolitan population cohorts enrolled in nine Italian cities: Turin, Venice, Reggio Emilia, Modena, Bologna, Florence, Leghorn, Prato and Rome. Data come from record linkage of municipal population registries, the 2001 population census, mortality registers and hospital discharge archives. Depending on the source of enrolment, cohorts can be closed or open. The census-based closed cohort design includes subjects resident in any of the nine cities at the 2001 census day; 4 466 655 individuals were enrolled in 2001 in the nine closed cohorts. The open cohort design includes subjects resident in 2001 or subsequently registered by birth or immigration until the latest available follow-up (currently 31 December 2013). The open cohort design is available for Turin, Venice, Reggio Emilia, Modena, Bologna, Prato and Rome. Detailed socioeconomic data are available for subjects enrolled in the census-based cohorts; information on demographic characteristics, education and citizenship is available from population registries. FINDINGS TO DATE: The first IN-LiMeS application was the study of differentials in mortality between immigrants and Italians. Either using a closed cohort design (nine cities) or an open one (Turin and Reggio Emilia), individuals from high migration pressure countries generally showed a lower mortality risk. However, a certain heterogeneity between the nine cities was noted, especially among men, and an excess mortality risk was reported for some macroareas of origin and specific causes of death. FUTURE PLANS: We are currently working on the linkage of the 2011 population census data, the expansion of geographical coverage and the implementation of the open design in all the participating cohorts.


Assuntos
Emigrantes e Imigrantes/estatística & dados numéricos , Saúde da População Urbana/estatística & dados numéricos , Adolescente , Adulto , Idoso , Criança , Pré-Escolar , Feminino , Nível de Saúde , Disparidades nos Níveis de Saúde , Indicadores Básicos de Saúde , Humanos , Lactente , Recém-Nascido , Itália/epidemiologia , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Mortalidade , Determinantes Sociais da Saúde/estatística & dados numéricos , Fatores Socioeconômicos , População Urbana/estatística & dados numéricos , Adulto Jovem
2.
Aging Clin Exp Res ; 26(3): 279-86, 2014 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-24293350

RESUMO

BACKGROUND AND AIMS: Quality monitoring has great relevance in stroke care. The Project "How to guarantee adherence to effective interventions in stroke care" aimed to estimate adherence to acute-phase guidelines in stroke care in Italy. METHODS: A prospective observational study was performed in 27 hospitals of 13 Italian Regions. Adherence to 15 process indicators was evaluated, comparing also stroke units (SU) with conventional wards. An overall score of care, defined as the sum of achieved indicators, was calculated. A multilevel hierarchical model described performance at patient, hospital and regional level. RESULTS: Overall, 484 consecutive stroke patients (mean age, 73.4 years; 52.7 % males) were included. Total score ranged from 2 to 15 (mean 8.5 ± 2.4). SU patients were more often evaluated with the National Institutes of Health Stroke Scale (NIHSS) within 24 h, had more frequently an assessment of pre- and post-stroke disability, and a CT scan the same or the day after admission. Regional-hospital- and patient-level variability explained, respectively, 25, 34, and 41 % of total score variance. In multivariate models, patients >80 years vs. younger showed a change in total score of -0.45 (95 % CI -0.79 to -0.12), and those with NIHSS ≥14 vs. ≤5 of -0.92 (95 % CI -1.53 to -0.30). A negative change means a worse adjusted average adherence to process indicators. SU admission increased total score of 1.55 (95 % CI 0.52-2.58). CONCLUSIONS: Our data confirm the need of quality monitoring in stroke care. Although SU patients showed a better adherence to quality indicators, overall compliance was unsatisfactory.


Assuntos
Indicadores de Qualidade em Assistência à Saúde , Acidente Vascular Cerebral/terapia , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Hospitais/normas , Hospitais/estatística & dados numéricos , Humanos , Itália , Masculino , Pessoa de Meia-Idade , Modelos Teóricos , Análise Multivariada , Guias de Prática Clínica como Assunto , Estudos Prospectivos , Padrão de Cuidado , Acidente Vascular Cerebral/diagnóstico
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...