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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

Overview of attention for article published in BMC Health Services Research, June 2015
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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
Published in
BMC Health Services Research, June 2015
DOI 10.1186/s12913-015-0881-5
Pubmed ID
Authors

Guglielmo Bonaccorsi, Francesca Collini, Mariangela Castagnoli, Mauro Di Bari, Maria Chiara Cavallini, Nicoletta Zaffarana, Pasquale Pepe, Alessandro Mugelli, Ersilia Lucenteforte, Alfredo Vannacci, Chiara Lorini

Abstract

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. 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. 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. 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Master 7 10%
Student > Bachelor 7 10%
Other 4 6%
Student > Postgraduate 4 6%
Other 16 23%
Unknown 19 28%
Readers by discipline Count As %
Medicine and Dentistry 22 32%
Nursing and Health Professions 13 19%
Unspecified 2 3%
Engineering 2 3%
Social Sciences 2 3%
Other 7 10%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2015.
All research outputs
#20,280,315
of 22,813,792 outputs
Outputs from BMC Health Services Research
#7,103
of 7,635 outputs
Outputs of similar age
#222,720
of 266,604 outputs
Outputs of similar age from BMC Health Services Research
#88
of 93 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,635 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.