Evidence map›Paper›PMID 32696923›Full record

ArticleRevista latino-americana de enfermagem2020

System for reception and risk classification in obstetrics: a technical quality assessment.

Rodolfo Cristiano Serafim, Milena Jamas Temer, Cristina Maria Garcia de Lima Parada, Heloisa Helena Ciqueto Peres, Clarita Terra Rodrigues Serafim, Rodrigo Jensen

Abstract read
In one paragraph

Article in Revista latino-americana de enfermagem, 2020. 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
0cells of the map it votes in
2citing 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

2 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

6 authors.

Rodolfo Cristiano SerafimFaculdade de Medicina de Botucatu, Universidade Estadual Paulista "Júlio de Mesquita Filho", Botucatu, SP, Brazil.
Milena Jamas TemerFaculdade de Medicina de Botucatu, Universidade Estadual Paulista "Júlio de Mesquita Filho", Botucatu, SP, Brazil.
Cristina Maria Garcia de Lima ParadaFaculdade de Medicina de Botucatu, Universidade Estadual Paulista "Júlio de Mesquita Filho", Botucatu, SP, Brazil.
Heloisa Helena Ciqueto PeresEscola de Enfermagem, Universidade de São Paulo, São Paulo, SP, Brazil.
Clarita Terra Rodrigues SerafimFaculdade de Medicina de Botucatu, Universidade Estadual Paulista "Júlio de Mesquita Filho", Botucatu, SP, Brazil.
Rodrigo JensenFaculdade de Medicina de Botucatu, Universidade Estadual Paulista "Júlio de Mesquita Filho", Botucatu, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto assess the technical quality of a decision support system for reception and risk classification in obstetrics.

methoda methodological study of assessment of the system. 12 nurses and 11 information technology (IT) professionals were invited to evaluate the Obstetrics Reception and Risk Classification System (Sistema de Acolhimento e Classificação de Risco em Obstetrícia, SACR-O). Based on the standards of the International Organization for Standardization, the minimum number of evaluators and the characteristics to be evaluated were established: functional suitability, reliability, usability, performance efficiency, compatibility, safety, maintainability, and portability. The characteristics assessed should be given a ≥70% positive assessment to be considered suitable.

resultsthe characteristics assessed by the nurses and the IT professionals, respectively, were considered adequate: Functional suitability (97% and 98%), Reliability (91% and 94%), Usability (89% and 93%), Performance efficiency (97% and 98%), Compatibility (93% and 100%), and System security (95% and 97%). Maintainability (87%) and Portability (97%) were also evaluated by IT professionals.

conclusionthe technical quality of the SACR-O system was considered excellent by nurses and IT professionals.

Indexed as

ObstetricsHumansInfantReproducibility of ResultsRisk Assessment

Identifiers

PMID32696923
PMCPMC7365607

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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.