Variability in the performance of preventive services and in the degree of control of identified health problems: a primary care study protocol.
Identifieur interne : 000538 ( Main/Exploration ); précédent : 000537; suivant : 000539Variability in the performance of preventive services and in the degree of control of identified health problems: a primary care study protocol.
Auteurs : Bonaventura Bolíbar [Espagne] ; Clara Pareja ; M Pilar Astier-Pe A ; Julio Morán ; Teresa Rodríguez-Blanco ; Magdalena Rosell-Murphy ; Manuel Iglesias ; Sebastián Juncosa ; Juanjo Mascort ; Concepci Violan ; Rosa Magall N ; Javier ApezteguiaSource :
- BMC public health [ 1471-2458 ] ; 2008.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Analyse de régression (MeSH), Consommation d'alcool (MeSH), Espagne (MeSH), Femelle (MeSH), Fumer (MeSH), Humains (MeSH), Hypercholestérolémie (diagnostic), Hypertension artérielle (diagnostic), Mâle (MeSH), Obésité (diagnostic), Programmes nationaux de santé (MeSH), Services de médecine préventive (statistiques et données numériques), Soins de santé primaires (normes), Soins de santé primaires (statistiques et données numériques), Types de pratiques des médecins (statistiques et données numériques), Études transversales (MeSH).
- MESH :
- diagnostic : Hypercholestérolémie, Hypertension artérielle, Obésité.
- normes : Soins de santé primaires.
- statistiques et données numériques : Services de médecine préventive, Soins de santé primaires, Types de pratiques des médecins.
- Adolescent, Adulte, Analyse de régression, Consommation d'alcool, Espagne, Femelle, Fumer, Humains, Mâle, Programmes nationaux de santé, Études transversales.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Alcohol Drinking (MeSH), Cross-Sectional Studies (MeSH), Female (MeSH), Humans (MeSH), Hypercholesterolemia (diagnosis), Hypertension (diagnosis), Male (MeSH), National Health Programs (MeSH), Obesity (diagnosis), Practice Patterns, Physicians' (statistics & numerical data), Preventive Health Services (statistics & numerical data), Primary Health Care (standards), Primary Health Care (statistics & numerical data), Regression Analysis (MeSH), Smoking (MeSH), Spain (MeSH).
- MESH :
- diagnosis : Hypercholesterolemia, Hypertension, Obesity.
- standards : Primary Health Care.
- statistics & numerical data : Practice Patterns, Physicians', Preventive Health Services, Primary Health Care.
- Adolescent, Adult, Alcohol Drinking, Cross-Sectional Studies, Female, Humans, Male, National Health Programs, Regression Analysis, Smoking, Spain.
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.
DOI: 10.1186/1471-2458-8-281
PubMed: 18691407
PubMed Central: PMC2533323
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Analysis</term><term>Smoking</term><term>Spain</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Analyse de régression</term><term>Consommation d'alcool</term><term>Espagne</term><term>Femelle</term><term>Fumer</term><term>Humains</term><term>Mâle</term><term>Programmes nationaux de santé</term><term>Études transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>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.</p></div><div type="abstract" xml:lang="en"><p><b>DESIGN</b></p><p>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.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">18691407</PMID><DateCompleted><Year>2008</Year><Month>09</Month><Day>24</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>01</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><PubDate><Year>2008</Year><Month>Aug</Month><Day>08</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Variability in the performance of preventive services and in the degree of control of identified health problems: a primary care study protocol.</ArticleTitle><Pagination><MedlinePgn>281</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2458-8-281</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="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.</AbstractText><AbstractText Label="DESIGN" NlmCategory="METHODS">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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bolíbar</LastName><ForeName>Bonaventura</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Institut d'Investigació en Atenció Primària Jordi Gol, C/Gran Via de Corts Catalanes 587 àtic, 08007 Barcelona, Spain. bbolibar@idiapjgol.org</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pareja</LastName><ForeName>Clara</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Astier-Peña</LastName><ForeName>M Pilar</ForeName><Initials>MP</Initials></Author><Author ValidYN="Y"><LastName>Morán</LastName><ForeName>Julio</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Rodríguez-Blanco</LastName><ForeName>Teresa</ForeName><Initials>T</Initials></Author><Author ValidYN="Y"><LastName>Rosell-Murphy</LastName><ForeName>Magdalena</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Iglesias</LastName><ForeName>Manuel</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Juncosa</LastName><ForeName>Sebastián</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Mascort</LastName><ForeName>Juanjo</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Violan</LastName><ForeName>Concepció</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Magallón</LastName><ForeName>Rosa</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Apezteguia</LastName><ForeName>Javier</ForeName><Initials>J</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2008</Year><Month>08</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Public Health</MedlineTA><NlmUniqueID>100968562</NlmUniqueID><ISSNLinking>1471-2458</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="D000428" MajorTopicYN="N">Alcohol Drinking</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006937" MajorTopicYN="N">Hypercholesterolemia</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006973" MajorTopicYN="N">Hypertension</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009313" MajorTopicYN="N">National Health Programs</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009765" MajorTopicYN="N">Obesity</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010818" MajorTopicYN="N">Practice Patterns, Physicians'</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011314" MajorTopicYN="N">Preventive Health Services</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011320" MajorTopicYN="N">Primary Health Care</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012907" MajorTopicYN="N">Smoking</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N">Spain</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2008</Year><Month>07</Month><Day>14</Day></PubMedPubDate><PubMedPubDate 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IdType="pubmed">7315838</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li></country><region><li>Catalogne</li></region></list><tree><noCountry><name sortKey="Apezteguia, Javier" sort="Apezteguia, Javier" uniqKey="Apezteguia J" first="Javier" last="Apezteguia">Javier Apezteguia</name><name sortKey="Astier Pe A, M Pilar" sort="Astier Pe A, M Pilar" uniqKey="Astier Pe A M" first="M Pilar" last="Astier-Pe A">M Pilar Astier-Pe A</name><name sortKey="Iglesias, Manuel" sort="Iglesias, Manuel" uniqKey="Iglesias M" first="Manuel" last="Iglesias">Manuel Iglesias</name><name sortKey="Juncosa, Sebastian" sort="Juncosa, Sebastian" uniqKey="Juncosa S" first="Sebastián" last="Juncosa">Sebastián Juncosa</name><name sortKey="Magall N, Rosa" sort="Magall N, Rosa" uniqKey="Magall N R" first="Rosa" last="Magall N">Rosa Magall N</name><name sortKey="Mascort, Juanjo" sort="Mascort, Juanjo" uniqKey="Mascort J" first="Juanjo" last="Mascort">Juanjo Mascort</name><name sortKey="Moran, Julio" sort="Moran, Julio" uniqKey="Moran J" first="Julio" last="Morán">Julio Morán</name><name sortKey="Pareja, Clara" sort="Pareja, Clara" uniqKey="Pareja C" first="Clara" last="Pareja">Clara Pareja</name><name sortKey="Rodriguez Blanco, Teresa" sort="Rodriguez Blanco, Teresa" uniqKey="Rodriguez Blanco T" first="Teresa" last="Rodríguez-Blanco">Teresa Rodríguez-Blanco</name><name sortKey="Rosell Murphy, Magdalena" sort="Rosell Murphy, Magdalena" uniqKey="Rosell Murphy M" first="Magdalena" last="Rosell-Murphy">Magdalena Rosell-Murphy</name><name sortKey="Violan, Concepci" sort="Violan, Concepci" uniqKey="Violan C" first="Concepci" last="Violan">Concepci Violan</name></noCountry><country name="Espagne"><region name="Catalogne"><name sortKey="Bolibar, Bonaventura" sort="Bolibar, Bonaventura" uniqKey="Bolibar B" first="Bonaventura" last="Bolíbar">Bonaventura Bolíbar</name></region></country></tree></affiliations></record>Pour 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