Evidence map›Paper›PMID 24675745›Full record

ArticlePloS one2014

Quality of care in one Italian nursing home measured by ACOVE process indicators.

Claudia Pileggi, Benedetto Manuti, Rosa Costantino, Aida Bianco, Carmelo G A Nobile, Maria Pavia

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

6 authors.

Claudia PileggiDepartment of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Benedetto ManutiDepartment of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Rosa CostantinoDepartment of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Aida BiancoDepartment of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Carmelo G A NobileDepartment of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Maria PaviaDepartment of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo adapt the Assessing Care of Vulnerable Elders Quality Indicators (ACOVE QIs) for use in Italy, to assess the adherence to these indicators as reported in the medical records of residents in a nursing home (NH), to compare this adherence for general medical and geriatric conditions, and eventually, to identify the relationships between patients' characteristics and reported processes of care.

methodsTwo physicians collected the data by reviewing medical records of all NH residents in the previous 5 years, for a period of one year. Patients aged <65 years were excluded. A total of 245 patients were reviewed during the study period. The ACOVE QIs set, developed for NH processes of care, was used to assess the quality of care. Multivariate analysis was performed to identify and to assess the role of patients' characteristics on quality of processes of care by several domains of care in general medical and geriatric conditions.

resultsWith the exception of diabetes management, quality of processes of care for general medical conditions approached adequate adherence. Care falls substantially short of acceptable levels for geriatric conditions (pressure ulcers, falls, dementia). On the contrary, the recommended interventions for urinary incontinence were commonly performed. Adherence to indicators varied for the different domains of care and was proven worse for the screening and prevention indicators both for geriatric and general medical conditions. Statistical analysis showed disparities in provision of appropriate processes of care associated with gender, age, co-morbidities, level of function and mobility, length of stay and modality of discharge by NHs.

conclusionsAdherence to recommended processes of care delivered in NH is inadequate. Substantial work lies ahead for the improvement of care. Efforts should focus particularly on management of geriatric conditions and on preventive healthcare.

Indexed as

Nursing HomesQuality Indicators, Health CareQuality of Health CareAgedAged, 80 and overFemaleGuideline AdherenceHumansItalyMaleRisk Factors

Identifiers

PMID24675745
PMCPMC3968054

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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.