Evidence map›Paper›PMID 26047610›Full record

ArticleBMC health services research2015

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

Guglielmo Bonaccorsi, Francesca Collini, Mariangela Castagnoli, Mauro Di Bari, Maria Chiara Cavallini, Nicoletta Zaffarana, Pasquale Pepe, Alessandro Mugelli, Ersilia Lucenteforte, Alfredo Vannacci and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Older People Living in Nursing Homes: An Oral Health Screening Survey in Florence, Italy.International journal of environmental research and public health · 2019
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Guglielmo BonaccorsiDepartment of Health Science, University of Florence, viale GB Morgagni 48, 50134, Florence, Italy. guglielmo.bonaccorsi@unifi.it.
Francesca ColliniRegional Health Agency of Tuscany, Tuscany, Italy. francesca.collini@ars.toscana.it.
Mariangela CastagnoliRegional Health Agency of Tuscany, Tuscany, Italy. mariangela.castagnoli@virgilio.it.
Mauro Di BariResearch Unit of Medicine of Aging, Department of Experimental and Clinical Medicine, University of Florence-Unit of Geriatric Cardiology and Medicine, Florence, Italy. mauro.dibari@unifi.it.
Maria Chiara CavalliniResearch Unit of Medicine of Aging, Department of Experimental and Clinical Medicine, University of Florence-Unit of Geriatric Cardiology and Medicine, Florence, Italy. mariachiara.cavallini@unifi.it.
Nicoletta ZaffaranaResearch Unit of Medicine of Aging, Department of Experimental and Clinical Medicine, University of Florence-Unit of Geriatric Cardiology and Medicine, Florence, Italy. nicolettazaffarana@alice.it.
Pasquale PepeRegional Health Agency of Tuscany, Tuscany, Italy. pasquale_pepe1@virgilio.it.
Alessandro MugelliDepartment of Neuroscience, Psychology, Drug Research and Children's Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy. alessandro.mugelli@unifi.it.
Ersilia LucenteforteDepartment of Neuroscience, Psychology, Drug Research and Children's Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy. ersilia.lucenteforte@unifi.it.
Alfredo VannacciDepartment of Neuroscience, Psychology, Drug Research and Children's Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy. alfredo.vannacci@unifi.it.
Chiara LoriniDepartment of Health Science, University of Florence, viale GB Morgagni 48, 50134, Florence, Italy. chiara.lorini@unifi.it.
University of Florence · ITAgenzia Regionale di Sanità della Toscana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious 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.

methodsA 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.

resultsOut 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.

conclusionsOf 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.

Indexed as

Nutrition AssessmentAgedAged, 80 and overCross-Sectional StudiesFemaleHumansItalyMaleNursing HomesOutcome and Process Assessment, Health CareQuality Indicators, Health CareState MedicineSurveys and Questionnaires

Identifiers

PMID26047610
PMCPMC4458040
OpenAlexW1513208291

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.