Evidence map›Paper›PMID 35778727›Full record

ArticleBMC medical informatics and decision making2022

Development and validation of a health information system for assistance and research in gestational trophoblast disease.

Jaqueline Martins, Paulo Bandiera-Paiva, Antonio Rodrigues Braga Neto, Lucas Ribeiro Borges de Carvalho, Lúcio Padrini-Andrade, Vitor Tonini Machado, Antônio Carlos da Silva Junior, Sue Yazaki Sun

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Jaqueline MartinsDepartment of Obstetrics, Universidade Federal de São Paulo, São Paulo, Brazil.
Paulo Bandiera-PaivaDepartment of Health Informatics, Universidade Federal de São Paulo, São Paulo, Brazil. paiva@unifesp.br.
Antonio Rodrigues Braga NetoDepartment of Obstetrics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Lucas Ribeiro Borges de CarvalhoDepartment of Obstetrics, Universidade Federal de São Paulo, São Paulo, Brazil.
Lúcio Padrini-AndradeNeonatology Division, Universidade Federal de São Paulo, São Paulo, Brazil.
Vitor Tonini MachadoDepartment of Health Informatics, Universidade Federal de São Paulo, São Paulo, Brazil.
Antônio Carlos da Silva JuniorDepartment of Health Informatics, Universidade Federal de São Paulo, São Paulo, Brazil.
Sue Yazaki SunDepartment of Obstetrics, Universidade Federal de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational Trophoblastic Disease (GTD) comprises pathological forms of placental trophoblastic tissue proliferation. When benign, they present with hydatidiform moles, and when malignant, they are called Gestational Trophoblastic Neoplasia. With the growth of the practice of digital health, allied to updated therapeutic approaches, the Outpatient Clinic for Gestational Trophoblastic Disease has built a Health Information System (HIS), contributing to the teaching-learning binomial, as well as to self-care.

methodsThis is a cross-sectional and blind technological assessment research for developing SIS-Mola (Website for the medical team and the Application "MolaApp" aimed at patients with GTD). We used the Praxis management approach to manage the application creation project. In the tasks involving real-time chat, a WebSocket layer was created and hosted together with the project's web services, which use the Arch Linux operating system. For the evaluations, we provided questionnaires developed based on the System Usability Scale (SUS), to determine the degree of user satisfaction, with objective questions on the Likert scale. We invited 28 participants for the evaluations, among ABDTG specialist physicians, doctors from the DTG Outpatient Clinic team, and the patients. The study was systematized according to the rules of treatment and follow-up in treating the disease.

resultsThe tests were conducted from November 2021 to February 2022. The responses obtained on a Likert scale indicated reliability and credibility to the HIS, since the total usability score, measured by the ten questions of the SUS instrument, had a mean of 81.1 (clinicians), 80 (patients) and median of 77.5 for both groups. The sample was characterized according to the variables: age, gender, education, computer knowledge, and profession.

conclusionDeveloping a HIS in the GTD Outpatient Clinic met the objectives regarding the rules of treatment and follow-up of patients. With these digital tools, it is possible to obtain data about the patient's health, sending information through exams performed and appropriate treatments. The connectivity capacity allows agile care, saving time, costs and solving the displacement problem. The TICs generate natural efficiency for the organization in the flow of service and the formation of a database, improving the quality of the assistance.

Indexed as

Gestational Trophoblastic DiseaseHealth Information SystemsCross-Sectional StudiesFemaleHumansPlacentaPregnancyReproducibility of ResultsTrophoblastsComputing metodologiesGestational trophoblastic diseaseHealth Information SystemInformation scienceMobile applicationsTelemedicine

Identifiers

PMID35778727
PMCPMC9247895

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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.