[Ambulatory care-sensitive conditions in Germany: a small area analysis (2006-2009)].
Identifieur interne : 000124 ( Main/Exploration ); précédent : 000123; suivant : 000125[Ambulatory care-sensitive conditions in Germany: a small area analysis (2006-2009)].
Auteurs : C. Naumann [Allemagne] ; U. Augustin [Allemagne] ; L. Sundmacher [Allemagne]Source :
- Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) [ 1439-4421 ] ; 2015.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Allemagne (épidémiologie), Analyse en petite superficie (MeSH), Bilan opérationnel (MeSH), Comorbidité (MeSH), Diabète (diagnostic), Diabète (thérapie), Diabète (épidémiologie), Défaillance cardiaque (diagnostic), Défaillance cardiaque (thérapie), Défaillance cardiaque (épidémiologie), Déshydratation (diagnostic), Déshydratation (thérapie), Déshydratation (épidémiologie), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), Hospitalisation (statistiques et données numériques), Humains (MeSH), Jeune adulte (MeSH), Mâle (MeSH), Nourrisson (MeSH), Nouveau-né (MeSH), Population rurale (statistiques et données numériques), Prévalence (MeSH), Soins ambulatoires (statistiques et données numériques), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Villes (statistiques et données numériques).
- MESH :
- diagnostic : Diabète, Défaillance cardiaque, Déshydratation.
- statistiques et données numériques : Hospitalisation, Population rurale, Soins ambulatoires, Villes.
- thérapie : Diabète, Défaillance cardiaque, Déshydratation.
- épidémiologie : Allemagne, Diabète, Défaillance cardiaque, Déshydratation.
- Adolescent, Adulte, Adulte d'âge moyen, Analyse en petite superficie, Bilan opérationnel, Comorbidité, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Prévalence, Sujet âgé, Sujet âgé de 80 ans ou plus.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Ambulatory Care (statistics & numerical data), Child (MeSH), Child, Preschool (MeSH), Cities (statistics & numerical data), Comorbidity (MeSH), Dehydration (diagnosis), Dehydration (epidemiology), Dehydration (therapy), Diabetes Mellitus (diagnosis), Diabetes Mellitus (epidemiology), Diabetes Mellitus (therapy), Female (MeSH), Germany (epidemiology), Heart Failure (diagnosis), Heart Failure (epidemiology), Heart Failure (therapy), Hospitalization (statistics & numerical data), Humans (MeSH), Infant (MeSH), Infant, Newborn (MeSH), Infections (diagnosis), Infections (epidemiology), Infections (therapy), Male (MeSH), Middle Aged (MeSH), Prevalence (MeSH), Risk Factors (MeSH), Rural Population (statistics & numerical data), Small-Area Analysis (MeSH), Utilization Review (MeSH), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Germany.
- geographic , statistics & numerical data : Cities.
- diagnosis : Dehydration, Diabetes Mellitus, Heart Failure, Infections.
- epidemiology : Dehydration, Diabetes Mellitus, Heart Failure, Infections.
- statistics & numerical data : Ambulatory Care, Hospitalization, Rural Population.
- therapy : Dehydration, Diabetes Mellitus, Heart Failure, Infections.
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Comorbidity, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Prevalence, Risk Factors, Small-Area Analysis, Utilization Review, Young Adult.
Abstract
PURPOSE
The paper aims (1) to identify and depict cartographically ambulatory care-sensitive conditions in Germany (based on data for the years 2006-2009) and (2) to discuss the implications.
METHOD
The selection of ambulatory care-sensitive conditions (ACSC) was based on a literature review by Purdy et al. (2009) because a German catalogue of ACSC does not yet exist. Five of these indications were excluded due to limited data -access or a low number of cases. Additionally, 2 -diagnoses that are potentially relevant for Germany were included. Subsequently, diagnosis-specific hospitalisation rates were calculated for each of the 412 counties (Stadtkreise and Landkreise). The spatial distribution of 6 selected diag-noses (heart failure, diabetes, dehydration and gastroenteritis, ENT infections, influenza and pneumonia as well as schizophrenia) was depicted and discussed. Furthermore, an overall analysis of diagnoses analysis was performed.
RESULTS
Based on the overall analysis, counties with high hospitalisation rates were identified in Mecklenburg-Western Pomerania, Saxony-Anhalt and Thuringia as well as to a lesser degree in Brandenburg, Saarland, Rhineland Palatinate and North Rhine-Westphalia (for men and women). Low hospitalisation rates were often present in counties in Baden-Wuerttemberg. Based on the diagnosis-specific analysis, some regional clusters could be identified. Thus, high hospitalisa-tion rates for heart failure, diabetes, ENT infections were especially present in Eastern Germany. In contrast, there were no distribution patterns for high hospitalisation rates due to influenza and pneumonia. However, differences could be also identified between rural and urban regions: while hospitalisations due to dehydration and gastroenteritis were more often in rural -districts, hospitalisations due to schizophrenia occurred more frequently in urban regions.
CONCLUSION
Knowledge of the spatial distribution of ACSC -rates serves as an important indicator for the identification of districts where health-care quality and access (structural--related) can be optimised. The analysis of hospitalisation rates for 6 selected indications showed that for some indications there were clear regional differences in the distribution of ACSCs in -Germany.
DOI: 10.1055/s-0034-1372576
PubMed: 25137306
Affiliations:
Links toward previous steps (curation, corpus...)
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Augustin</name><affiliation wicri:level="3"><nlm:affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</nlm:affiliation><country>Allemagne</country><placeName><settlement type="city">Berlin</settlement><region type="land" nuts="2">Berlin</region></placeName><wicri:orgArea>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin</wicri:orgArea></affiliation></author><author><name sortKey="Sundmacher, L" sort="Sundmacher, L" uniqKey="Sundmacher L" first="L" last="Sundmacher">L. Sundmacher</name><affiliation wicri:level="3"><nlm:affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</nlm:affiliation><country>Allemagne</country><placeName><settlement type="city">Berlin</settlement><region type="land" nuts="2">Berlin</region></placeName><wicri:orgArea>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin</wicri:orgArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25137306</idno><idno type="pmid">25137306</idno><idno type="doi">10.1055/s-0034-1372576</idno><idno type="wicri:Area/Main/Corpus">000159</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000159</idno><idno type="wicri:Area/Main/Curation">000159</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000159</idno><idno type="wicri:Area/Main/Exploration">000159</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Ambulatory care-sensitive conditions in Germany: a small area analysis (2006-2009)].</title><author><name sortKey="Naumann, C" sort="Naumann, C" uniqKey="Naumann C" first="C" last="Naumann">C. Naumann</name><affiliation wicri:level="3"><nlm:affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</nlm:affiliation><country>Allemagne</country><placeName><settlement type="city">Berlin</settlement><region type="land" nuts="2">Berlin</region></placeName><wicri:orgArea>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin</wicri:orgArea></affiliation></author><author><name sortKey="Augustin, U" sort="Augustin, U" uniqKey="Augustin U" first="U" last="Augustin">U. Augustin</name><affiliation wicri:level="3"><nlm:affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</nlm:affiliation><country>Allemagne</country><placeName><settlement type="city">Berlin</settlement><region type="land" nuts="2">Berlin</region></placeName><wicri:orgArea>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin</wicri:orgArea></affiliation></author><author><name sortKey="Sundmacher, L" sort="Sundmacher, L" uniqKey="Sundmacher L" first="L" last="Sundmacher">L. Sundmacher</name><affiliation wicri:level="3"><nlm:affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</nlm:affiliation><country>Allemagne</country><placeName><settlement type="city">Berlin</settlement><region type="land" nuts="2">Berlin</region></placeName><wicri:orgArea>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin</wicri:orgArea></affiliation></author></analytic><series><title level="j">Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))</title><idno type="eISSN">1439-4421</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Ambulatory Care (statistics & numerical data)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Cities (statistics & numerical data)</term><term>Comorbidity (MeSH)</term><term>Dehydration (diagnosis)</term><term>Dehydration (epidemiology)</term><term>Dehydration (therapy)</term><term>Diabetes Mellitus (diagnosis)</term><term>Diabetes Mellitus (epidemiology)</term><term>Diabetes Mellitus (therapy)</term><term>Female (MeSH)</term><term>Germany (epidemiology)</term><term>Heart Failure (diagnosis)</term><term>Heart Failure (epidemiology)</term><term>Heart Failure (therapy)</term><term>Hospitalization (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Infant (MeSH)</term><term>Infant, Newborn (MeSH)</term><term>Infections (diagnosis)</term><term>Infections (epidemiology)</term><term>Infections (therapy)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Prevalence (MeSH)</term><term>Risk Factors (MeSH)</term><term>Rural Population (statistics & numerical data)</term><term>Small-Area Analysis (MeSH)</term><term>Utilization Review (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Allemagne (épidémiologie)</term><term>Analyse en petite superficie (MeSH)</term><term>Bilan opérationnel (MeSH)</term><term>Comorbidité (MeSH)</term><term>Diabète (diagnostic)</term><term>Diabète (thérapie)</term><term>Diabète (épidémiologie)</term><term>Défaillance cardiaque (diagnostic)</term><term>Défaillance cardiaque (thérapie)</term><term>Défaillance cardiaque (épidémiologie)</term><term>Déshydratation (diagnostic)</term><term>Déshydratation (thérapie)</term><term>Déshydratation (épidémiologie)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Facteurs de risque (MeSH)</term><term>Femelle (MeSH)</term><term>Hospitalisation (statistiques et données numériques)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Nourrisson (MeSH)</term><term>Nouveau-né (MeSH)</term><term>Population rurale (statistiques et données numériques)</term><term>Prévalence (MeSH)</term><term>Soins ambulatoires (statistiques et données numériques)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Villes (statistiques et données numériques)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" type="geographic" qualifier="statistics & numerical data" xml:lang="en"><term>Cities</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Dehydration</term><term>Diabetes Mellitus</term><term>Heart Failure</term><term>Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Diabète</term><term>Défaillance cardiaque</term><term>Déshydratation</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Dehydration</term><term>Diabetes Mellitus</term><term>Heart Failure</term><term>Infections</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Ambulatory Care</term><term>Hospitalization</term><term>Rural Population</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Hospitalisation</term><term>Population rurale</term><term>Soins ambulatoires</term><term>Villes</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Dehydration</term><term>Diabetes Mellitus</term><term>Heart Failure</term><term>Infections</term></keywords><keywords scheme="MESH" qualifier="thérapie" xml:lang="fr"><term>Diabète</term><term>Défaillance cardiaque</term><term>Déshydratation</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term><term>Diabète</term><term>Défaillance cardiaque</term><term>Déshydratation</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Comorbidity</term><term>Female</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Risk Factors</term><term>Small-Area Analysis</term><term>Utilization Review</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse en petite superficie</term><term>Bilan opérationnel</term><term>Comorbidité</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Prévalence</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>PURPOSE</b></p><p>The paper aims (1) to identify and depict cartographically ambulatory care-sensitive conditions in Germany (based on data for the years 2006-2009) and (2) to discuss the implications.</p></div><div type="abstract" xml:lang="en"><p><b>METHOD</b></p><p>The selection of ambulatory care-sensitive conditions (ACSC) was based on a literature review by Purdy et al. (2009) because a German catalogue of ACSC does not yet exist. Five of these indications were excluded due to limited data -access or a low number of cases. Additionally, 2 -diagnoses that are potentially relevant for Germany were included. Subsequently, diagnosis-specific hospitalisation rates were calculated for each of the 412 counties (Stadtkreise and Landkreise). The spatial distribution of 6 selected diag-noses (heart failure, diabetes, dehydration and gastroenteritis, ENT infections, influenza and pneumonia as well as schizophrenia) was depicted and discussed. Furthermore, an overall analysis of diagnoses analysis was performed.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Based on the overall analysis, counties with high hospitalisation rates were identified in Mecklenburg-Western Pomerania, Saxony-Anhalt and Thuringia as well as to a lesser degree in Brandenburg, Saarland, Rhineland Palatinate and North Rhine-Westphalia (for men and women). Low hospitalisation rates were often present in counties in Baden-Wuerttemberg. Based on the diagnosis-specific analysis, some regional clusters could be identified. Thus, high hospitalisa-tion rates for heart failure, diabetes, ENT infections were especially present in Eastern Germany. In contrast, there were no distribution patterns for high hospitalisation rates due to influenza and pneumonia. However, differences could be also identified between rural and urban regions: while hospitalisations due to dehydration and gastroenteritis were more often in rural -districts, hospitalisations due to schizophrenia occurred more frequently in urban regions.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Knowledge of the spatial distribution of ACSC -rates serves as an important indicator for the identification of districts where health-care quality and access (structural--related) can be optimised. The analysis of hospitalisation rates for 6 selected indications showed that for some indications there were clear regional differences in the distribution of ACSCs in -Germany.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25137306</PMID><DateCompleted><Year>2016</Year><Month>01</Month><Day>28</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1439-4421</ISSN><JournalIssue CitedMedium="Internet"><Volume>77</Volume><Issue>4</Issue><PubDate><Year>2015</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))</Title><ISOAbbreviation>Gesundheitswesen</ISOAbbreviation></Journal><ArticleTitle>[Ambulatory care-sensitive conditions in Germany: a small area analysis (2006-2009)].</ArticleTitle><Pagination><MedlinePgn>e91-e105</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1055/s-0034-1372576</ELocationID><Abstract><AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">The paper aims (1) to identify and depict cartographically ambulatory care-sensitive conditions in Germany (based on data for the years 2006-2009) and (2) to discuss the implications.</AbstractText><AbstractText Label="METHOD" NlmCategory="METHODS">The selection of ambulatory care-sensitive conditions (ACSC) was based on a literature review by Purdy et al. (2009) because a German catalogue of ACSC does not yet exist. Five of these indications were excluded due to limited data -access or a low number of cases. Additionally, 2 -diagnoses that are potentially relevant for Germany were included. Subsequently, diagnosis-specific hospitalisation rates were calculated for each of the 412 counties (Stadtkreise and Landkreise). The spatial distribution of 6 selected diag-noses (heart failure, diabetes, dehydration and gastroenteritis, ENT infections, influenza and pneumonia as well as schizophrenia) was depicted and discussed. Furthermore, an overall analysis of diagnoses analysis was performed.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Based on the overall analysis, counties with high hospitalisation rates were identified in Mecklenburg-Western Pomerania, Saxony-Anhalt and Thuringia as well as to a lesser degree in Brandenburg, Saarland, Rhineland Palatinate and North Rhine-Westphalia (for men and women). Low hospitalisation rates were often present in counties in Baden-Wuerttemberg. Based on the diagnosis-specific analysis, some regional clusters could be identified. Thus, high hospitalisa-tion rates for heart failure, diabetes, ENT infections were especially present in Eastern Germany. In contrast, there were no distribution patterns for high hospitalisation rates due to influenza and pneumonia. However, differences could be also identified between rural and urban regions: while hospitalisations due to dehydration and gastroenteritis were more often in rural -districts, hospitalisations due to schizophrenia occurred more frequently in urban regions.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Knowledge of the spatial distribution of ACSC -rates serves as an important indicator for the identification of districts where health-care quality and access (structural--related) can be optimised. The analysis of hospitalisation rates for 6 selected indications showed that for some indications there were clear regional differences in the distribution of ACSCs in -Germany.</AbstractText><CopyrightInformation>© Georg Thieme Verlag KG Stuttgart · New York.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Naumann</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Augustin</LastName><ForeName>U</ForeName><Initials>U</Initials><AffiliationInfo><Affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sundmacher</LastName><ForeName>L</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Fachgebiet Versorgungsforschung und Qualitätsmanagement im ambulanten Sektor, Technische Universität Berlin, Berlin.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ger</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Ambulant-sensitive Krankenhausfälle in Deutschland: Eine Analyse auf Kreisebene für die Jahre 2006-2009.</VernacularTitle><ArticleDate DateType="Electronic"><Year>2014</Year><Month>08</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Gesundheitswesen</MedlineTA><NlmUniqueID>9204210</NlmUniqueID><ISSNLinking>0941-3790</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000553" MajorTopicYN="N">Ambulatory Care</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002947" MajorTopicYN="N" Type="Geographic">Cities</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015897" MajorTopicYN="N">Comorbidity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003681" MajorTopicYN="N">Dehydration</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003920" MajorTopicYN="N">Diabetes Mellitus</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006333" MajorTopicYN="N">Heart Failure</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007239" MajorTopicYN="N">Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012424" MajorTopicYN="N">Rural Population</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017062" MajorTopicYN="N">Small-Area Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014600" MajorTopicYN="N">Utilization Review</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>8</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>8</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>1</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25137306</ArticleId><ArticleId IdType="doi">10.1055/s-0034-1372576</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country><region><li>Berlin</li></region><settlement><li>Berlin</li></settlement></list><tree><country name="Allemagne"><region name="Berlin"><name sortKey="Naumann, C" sort="Naumann, C" uniqKey="Naumann C" first="C" last="Naumann">C. Naumann</name></region><name sortKey="Augustin, U" sort="Augustin, U" uniqKey="Augustin U" first="U" last="Augustin">U. Augustin</name><name sortKey="Sundmacher, L" sort="Sundmacher, L" uniqKey="Sundmacher L" first="L" last="Sundmacher">L. Sundmacher</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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