Evidence map›Paper›PMID 30698220›Full record

ArticleRevista latino-americana de enfermagem2019

Mobile educational follow-up application for patients with peripheral arterial disease.

Cristiane Baldessar Mendez, Nádia Chiodelli Salum, Cintia Junkes, Lucia Nazareth Amante, Carlos Mauricio Lopes Mendez

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In one paragraph

Article in Revista latino-americana de enfermagem, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Cristiane Baldessar MendezUniversidade Federal de Santa Catarina, Hospital Universitário Polydoro Ernani de São Thiago, Florianópolis, SC, Brazil.ORCID http://orcid.org/0000-0003-0654-0422
Nádia Chiodelli SalumUniversidade Federal de Santa Catarina, Centro de Ciências da Saúde, Florianópolis, SC, Brazil.
Cintia JunkesUniversidade Federal de Santa Catarina, Hospital Universitário Polydoro Ernani de São Thiago, Florianópolis, SC, Brazil.
Lucia Nazareth AmanteUniversidade Federal de Santa Catarina, Centro de Ciências da Saúde, Florianópolis, SC, Brazil.
Carlos Mauricio Lopes MendezMendez & Baldessar, Curitiba, PR, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto describe the development of a prototype mobile educational application for nursing follow-up aimed at patients diagnosed with peripheral arterial disease.

methoda prototype-based technological production study. The construction followed the contextualized instructional design model using two steps: analysis and design and development.

resultsthe pedagogical content of the application was based on a survey of needs of patients with Peripheral Arterial Disease and treatments recommended in the literature. The prototype developed contained concepts, risk factors, signs and symptoms, treatment, importance of medications and their side effects, frequent doubts, necessary health care, and follow-up of patients by monitoring the evolution of the cicatricial process of lesions and possible complications, clarification of doubts and stimulus for continuation of treatment.

conclusionthe use of health applications is a technological tool with the potential to improve the follow-up of patients regarding the progress of the disease and self-care, monitoring of risk factors, co-participation of the patient in the treatment, family participation, as well as planning of individualized care, and cost reduction for the health system.

Indexed as

Mobile ApplicationsFemaleFollow-Up StudiesHumansMaleModels, EducationalNursing CarePatient Education as TopicPeripheral Arterial DiseaseSelf Care

Identifiers

PMID30698220
PMCPMC6336362

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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.