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A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care

BACKGROUND: Previous studies have investigated process and structure indicators of nutritional care as well as their use in nursing homes (NHs), but the relative weight of these indicators in predicting the risk of malnutrition remains unclear. Aims of the present study are to describe the quality i...

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Autores principales: Bonaccorsi, Guglielmo, Collini, Francesca, Castagnoli, Mariangela, Di Bari, Mauro, Cavallini, Maria Chiara, Zaffarana, Nicoletta, Pepe, Pasquale, Mugelli, Alessandro, Lucenteforte, Ersilia, Vannacci, Alfredo, Lorini, Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458040/
https://www.ncbi.nlm.nih.gov/pubmed/26047610
http://dx.doi.org/10.1186/s12913-015-0881-5
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author Bonaccorsi, Guglielmo
Collini, Francesca
Castagnoli, Mariangela
Di Bari, Mauro
Cavallini, Maria Chiara
Zaffarana, Nicoletta
Pepe, Pasquale
Mugelli, Alessandro
Lucenteforte, Ersilia
Vannacci, Alfredo
Lorini, Chiara
author_facet Bonaccorsi, Guglielmo
Collini, Francesca
Castagnoli, Mariangela
Di Bari, Mauro
Cavallini, Maria Chiara
Zaffarana, Nicoletta
Pepe, Pasquale
Mugelli, Alessandro
Lucenteforte, Ersilia
Vannacci, Alfredo
Lorini, Chiara
author_sort Bonaccorsi, Guglielmo
collection PubMed
description BACKGROUND: Previous studies have investigated process and structure indicators of nutritional care as well as their use in nursing homes (NHs), but the relative weight of these indicators in predicting the risk of malnutrition remains unclear. Aims of the present study are to describe the quality indicators of nutritional care in older residents in a sample of NHs in Tuscany, Italy, and to evaluate the predictors of protein-energy malnutrition risk. METHODS: A cross-sectional survey was conducted in 67 NHs. Information was collected to evaluate quality indicators of nutritional care and the individual risk factors for malnutrition, which was assessed using the Malnutrition Universal Screening Tool. A multilevel model was used to analyse the association between risk and predictors. RESULTS: Out of 2395 participants, 23.7 % were at high, 11 % at medium, and 65.3 % at low risk for malnutrition. Forty-two percent of the NHs had only a personal scale to weigh residents; 88 % did not routinely use a screening test/tool for malnutrition; 60 % used some standardized approach for weight measurement; 43 % did not assess the severity of dysphagia; 12 % were not staffed with dietitians. Patients living in NHs where a chair or platform scale was available had a significantly lower risk of malnutrition (OR = 0.73; 95 % CI = 0.56–0.94). None of the other structural or process quality indicators showed a statistically significant association with malnutrition risk. CONCLUSIONS: Of all the process and structural indicators considered, only the absence of an adequate scale to weigh residents predicted the risk of malnutrition, after adjusting for case mix. These findings prompt the conduction of further investigations on the effectiveness of structural and process indicators that are used to describe quality of nutritional care in NHs.
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spelling pubmed-44580402015-06-07 A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care Bonaccorsi, Guglielmo Collini, Francesca Castagnoli, Mariangela Di Bari, Mauro Cavallini, Maria Chiara Zaffarana, Nicoletta Pepe, Pasquale Mugelli, Alessandro Lucenteforte, Ersilia Vannacci, Alfredo Lorini, Chiara BMC Health Serv Res Research Article BACKGROUND: Previous studies have investigated process and structure indicators of nutritional care as well as their use in nursing homes (NHs), but the relative weight of these indicators in predicting the risk of malnutrition remains unclear. Aims of the present study are to describe the quality indicators of nutritional care in older residents in a sample of NHs in Tuscany, Italy, and to evaluate the predictors of protein-energy malnutrition risk. METHODS: A cross-sectional survey was conducted in 67 NHs. Information was collected to evaluate quality indicators of nutritional care and the individual risk factors for malnutrition, which was assessed using the Malnutrition Universal Screening Tool. A multilevel model was used to analyse the association between risk and predictors. RESULTS: Out of 2395 participants, 23.7 % were at high, 11 % at medium, and 65.3 % at low risk for malnutrition. Forty-two percent of the NHs had only a personal scale to weigh residents; 88 % did not routinely use a screening test/tool for malnutrition; 60 % used some standardized approach for weight measurement; 43 % did not assess the severity of dysphagia; 12 % were not staffed with dietitians. Patients living in NHs where a chair or platform scale was available had a significantly lower risk of malnutrition (OR = 0.73; 95 % CI = 0.56–0.94). None of the other structural or process quality indicators showed a statistically significant association with malnutrition risk. CONCLUSIONS: Of all the process and structural indicators considered, only the absence of an adequate scale to weigh residents predicted the risk of malnutrition, after adjusting for case mix. These findings prompt the conduction of further investigations on the effectiveness of structural and process indicators that are used to describe quality of nutritional care in NHs. BioMed Central 2015-06-06 /pmc/articles/PMC4458040/ /pubmed/26047610 http://dx.doi.org/10.1186/s12913-015-0881-5 Text en © Bonaccorsi et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bonaccorsi, Guglielmo
Collini, Francesca
Castagnoli, Mariangela
Di Bari, Mauro
Cavallini, Maria Chiara
Zaffarana, Nicoletta
Pepe, Pasquale
Mugelli, Alessandro
Lucenteforte, Ersilia
Vannacci, Alfredo
Lorini, Chiara
A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care
title A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care
title_full A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care
title_fullStr A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care
title_full_unstemmed A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care
title_short A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care
title_sort cross-sectional survey to investigate the quality of care in tuscan (italy) nursing homes: the structural, process and outcome indicators of nutritional care
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458040/
https://www.ncbi.nlm.nih.gov/pubmed/26047610
http://dx.doi.org/10.1186/s12913-015-0881-5
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