Evidence map›Paper›PMID 38958356›Full record

ArticleRevista brasileira de enfermagem2024

Quality of Care Transition for COVID-19 Patients in a University Hospital in Southern Brazil.

Ana Cecilia Boeng, Caroline Cechinel-Peiter, Maria Fernanda Baeta Neves Alonso da Costa, Laísa Fisher Wachholz, José Luís Guedes Dos Santos, Gabriela Marcellino de Melo Lanzoni

Abstract read
In one paragraph

Article in Revista brasileira de enfermagem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ana Cecilia BoengUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.ORCID 0009-0004-3256-2080
Caroline Cechinel-PeiterUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.ORCID 0000-0003-0032-6791
Maria Fernanda Baeta Neves Alonso da CostaUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.ORCID 0000-0002-2763-8050
Laísa Fisher WachholzUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.ORCID 0000-0001-9841-9798
José Luís Guedes Dos SantosUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.ORCID 0000-0003-3186-8286
Gabriela Marcellino de Melo LanzoniUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.ORCID 0000-0001-5935-8849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the quality of care transition from hospital to home for COVID-19 patients.

methodA cross-sectional study conducted at a University Hospital in Southern Brazil, involving 78 patients discharged after COVID-19 hospitalization. Data collection was performed via telephone using the Brazilian version of the Care Transitions Measure (CTM-15). Data were analyzed using descriptive and analytical statistics.

resultsThe mean quality of care transition was 70.8 on a scale ranging from zero to 100, indicating moderate quality of care transition. The highest score was attributed to factor 1, "Preparation for self-management," and the lowest to factor 4, "Care Plan."

conclusionsIt is important to enhance communication and support provided to patients during the transition process, especially regarding understanding prescribed medications and the development of clear care plans.

Indexed as

COVID-19Hospitals, UniversityQuality of Health CareSARS-CoV-2AdultAgedBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient DischargeSurveys and Questionnaires

Identifiers

PMID38958356
PMCPMC11213544

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.