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Variability in the performance of preventive services and in the degree of control of identified health problems

A primary care study protocol

Bibliographic Data

ID15363754
AuthorsBonaventura Bolíbar (0000-0003-4653-9805, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, corresponding author), Clara Pareja (Institut Català de la Salut), María Pilar Astier-Peña (0000-0002-3192-7672, Departamento de Salud), Julio Morán (Servicio Navarro de Salud), Teresa Rodríguez-Blanco (0000-0003-1395-9723, Institut Universitari d'Investigació en Atenció Primària Jordi Gol), Magdalena Rosell‐Murphy (0000-0003-0182-1049, Institut Universitari d'Investigació en Atenció Primària Jordi Gol), Magdalena Rosell-Murphy, Marta Iglesias (0000-0001-7373-4927, Institut Català de la Salut), Manuel Iglesias, Sebastián Juncosa, Juanjo Mascort (Institut Català de la Salut), Concepción Violán (0000-0003-3309-5360, Institut Universitari d'Investigació en Atenció Primària Jordi Gol), Concepció Violan, Rosa Magallón-Botaya (0000-0002-3006-5353), Rosa Magallón, Javier Apezteguía (Servicio Navarro de Salud)
Year2008
Volume8
Issue1
Pages281-281
Publication date2008-08-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/1471-2458-8-281
PMID18691407
PMCIDPMC2533323
OpenAlexW2054821886
LanguageEN
Citations received2
References cited31

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

Attendance · Biostatistics · Environmental health · Family medicine · Health care · Preventive healthcare · Public health · Workload · Health Promotion and Cardiovascular Prevention · Healthcare Policy and Management · Medicine · Nursing · Primary Care and Health Outcomes · Epidemiology

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Unique citing works2
Citations per year0.18
Citation span2015 - 2016 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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