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Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol

INTRODUCTION: The objectives of the study are twofold. First, to calculate healthcare resource utilisation and costs for a cohort of adult overweight and obese patients observed in primary and hospital care centres during eight consecutive years (2003–2010) in an urban setting in Spain. An analysis...

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Autores principales: Sicras-Mainar, Antonio, Gil, Joan, Mora, Toni, Navarro-Artieda, Ruth, Ayma, Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263436/
https://www.ncbi.nlm.nih.gov/pubmed/22267689
http://dx.doi.org/10.1136/bmjopen-2011-000547
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author Sicras-Mainar, Antonio
Gil, Joan
Mora, Toni
Navarro-Artieda, Ruth
Ayma, Joan
author_facet Sicras-Mainar, Antonio
Gil, Joan
Mora, Toni
Navarro-Artieda, Ruth
Ayma, Joan
author_sort Sicras-Mainar, Antonio
collection PubMed
description INTRODUCTION: The objectives of the study are twofold. First, to calculate healthcare resource utilisation and costs for a cohort of adult overweight and obese patients observed in primary and hospital care centres during eight consecutive years (2003–2010) in an urban setting in Spain. An analysis of whether these costs vary by groups of individuals and types of disease, and of how they compare with the previous literature, is carried out in order to predict actions or policies for resource optimisation. The second objective is to estimate the impact of overweight and obesity on the consumption of resources and costs, accounting for a wide array of controls. METHODS AND ANALYSIS: Observational and retrospective cohort data are used, consisting of medical records of patients followed up in outpatient and hospital care facilities during the years 2003–2010. Three cohorts of patients are analysed: normal weight (18.5≥ body mass index (BMI) <25), overweight (25≥ BMI <30) and obese (BMI ≥30); BMI is computed using clinical information. Individual-level data on comorbidity, resource utilisation and costs are available, and external information provided by the population census regarding socioeconomic status is used. Utilisation and associated costs across BMI groups are compared by computing ratios for overweight and obese individuals relative to those of normal weight. Count data regression models (hurdle and finite mixture models) are used, together with two-part model regression models and taking into account the panel structure of the data set to explore the impact of overweight and obesity on the increased utilisation of health services and costs, accounting for a wide set of controls.
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spelling pubmed-32634362012-01-30 Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol Sicras-Mainar, Antonio Gil, Joan Mora, Toni Navarro-Artieda, Ruth Ayma, Joan BMJ Open Evidence-Based Practice INTRODUCTION: The objectives of the study are twofold. First, to calculate healthcare resource utilisation and costs for a cohort of adult overweight and obese patients observed in primary and hospital care centres during eight consecutive years (2003–2010) in an urban setting in Spain. An analysis of whether these costs vary by groups of individuals and types of disease, and of how they compare with the previous literature, is carried out in order to predict actions or policies for resource optimisation. The second objective is to estimate the impact of overweight and obesity on the consumption of resources and costs, accounting for a wide array of controls. METHODS AND ANALYSIS: Observational and retrospective cohort data are used, consisting of medical records of patients followed up in outpatient and hospital care facilities during the years 2003–2010. Three cohorts of patients are analysed: normal weight (18.5≥ body mass index (BMI) <25), overweight (25≥ BMI <30) and obese (BMI ≥30); BMI is computed using clinical information. Individual-level data on comorbidity, resource utilisation and costs are available, and external information provided by the population census regarding socioeconomic status is used. Utilisation and associated costs across BMI groups are compared by computing ratios for overweight and obese individuals relative to those of normal weight. Count data regression models (hurdle and finite mixture models) are used, together with two-part model regression models and taking into account the panel structure of the data set to explore the impact of overweight and obesity on the increased utilisation of health services and costs, accounting for a wide set of controls. BMJ Group 2012-01-19 /pmc/articles/PMC3263436/ /pubmed/22267689 http://dx.doi.org/10.1136/bmjopen-2011-000547 Text en © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Evidence-Based Practice
Sicras-Mainar, Antonio
Gil, Joan
Mora, Toni
Navarro-Artieda, Ruth
Ayma, Joan
Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol
title Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol
title_full Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol
title_fullStr Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol
title_full_unstemmed Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol
title_short Healthcare use and costs associated with obesity in Badalona, Spain: a study protocol
title_sort healthcare use and costs associated with obesity in badalona, spain: a study protocol
topic Evidence-Based Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263436/
https://www.ncbi.nlm.nih.gov/pubmed/22267689
http://dx.doi.org/10.1136/bmjopen-2011-000547
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