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2.
Med Klin Intensivmed Notfmed ; 115(2): 125-133, 2020 Mar.
Artigo em Alemão | MEDLINE | ID: mdl-30603954

RESUMO

BACKGROUND: Up until now, research data on the implementation of empirical health services research in emergency departments in Germany are scarce. STUDY AIM: A monitoring instrument applied in a multicenter prospective cohort study in emergency departments (EDs) is described and discussed regarding requirements for the control and supervision of data collection. MATERIALS AND METHODS: Patients with cardiac diseases, respiratory tract infections, and hip fractures were recruited in eight EDs located in a central district of Berlin. Enrolment figures and nonresponder reasons were analyzed through descriptive statistics. Potential sample bias was examined in terms of response rates as well as the distribution of age and sex in the group of participants and nonresponders. Qualitative content analysis was applied to data from routine supervisory and feedback meetings with study nurses. RESULTS: Within the first 8 months of data collection, 61.1% of the aimed 1104 patients were recruited. Most frequently stated nonresponder reasons were the dense work and care processes in EDs (41.9%) and patients' disease burden (24.7%). Moreover, qualitative results revealed problems with identifying potentially eligible participants and difficulties because of missing research infrastructure in study centers. The response rate of 50.7% and approximately equal distribution of age and sex in participants and nonresponders do not indicate sample biases. DISCUSSION: The monitoring instrument has proven to be suited for empirical research in EDs and revealed optimization potential. We recommend using qualitative and quantitative data systematically.


Assuntos
Serviço Hospitalar de Emergência , Pesquisa sobre Serviços de Saúde , Alemanha , Humanos , Seleção de Pacientes , Estudos Prospectivos
3.
Fortschr Neurol Psychiatr ; 82(11): 627-33, 2014 Nov.
Artigo em Alemão | MEDLINE | ID: mdl-25383929

RESUMO

PURPOSE: This article presents epidemiological data regarding stroke frequency in Germany based on nationwide statutory health insurance data (Deutsche BKK) and aims to analyse them in the context of current research. The comparability of the most important resources of stroke frequency data - stroke registers, DRG data and insurance data - is initially discussed in order to assess the presented data adequately. METHODS: The study cohort comes from a population of about 1 000 000 people insured with BKK and consists of all persons who were treated for a stroke in an acute care hospital in 2007 (n = 4,843). Data were subjected to statistical secondary analysis including uni- and bivariate statistics and t tests. Reference studies for the observation period include data from GEK and AOK health insurances, from quality assurances Hessen and Bayern, from the ADSR, and hospital DRG data. The different study types are compared regarding their inclusion/exclusion criteria and the resulting effects on reported prevalences. RESULTS: Different inclusion criteria and accordingly different operationalisations of "stroke" impede the comparability of existing German data resources regarding stroke. The inclusion of TIA, non-traumatic subdural haemorrhage (I62), and the frequency of unspecified strokes (I64) is especially inconsistent. In addition, recurrent strokes and the definition of first-ever strokes are treated differently. The study cohort reveals no major discrepancies regarding aetiological subgroups compared to previous results, only the percentage of women (60.3 %) seems exceptionally high. CONCLUSIONS: The gender effect is attributed to the BKK member structure, and especially the high proportion of women in the older age groups. Discussion of stroke frequency in Germany needs to take structural differences between study types into account. There are two vulnerable groups that tend to be underrepresented: TIA patients with a high risk of recurrent strokes, and high-risk patients who have already had a stroke and are care-dependent, which are often unspecifically coded. In the future, study designs should include the whole range of stroke coding, thus enabling differentiated analyses.


Assuntos
Seguro Saúde/estatística & dados numéricos , Acidente Vascular Cerebral/epidemiologia , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Interpretação Estatística de Dados , Feminino , Alemanha/epidemiologia , Hospitalização/estatística & dados numéricos , Humanos , Ataque Isquêmico Transitório/epidemiologia , Masculino , Pessoa de Meia-Idade , Programas Nacionais de Saúde , Prevalência , Garantia da Qualidade dos Cuidados de Saúde , Recidiva , Sistema de Registros , Fatores Sexuais
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