Evidence map›Paper›PMID 36191175›Full record

ArticleJMIR medical informatics2022

Synchronous Teleconsultation and Monitoring Service Targeting COVID-19: Leveraging Insights for Postpandemic Health Care.

Milena Soriano Marcolino, Clara Sousa Diniz, Bruno Azevedo Chagas, Mayara Santos Mendes, Raquel Prates, Adriana Pagano, Thiago Castro Ferreira, Maria Beatriz Moreira Alkmim, Clara Rodrigues Alves Oliveira, Isabela Nascimento Borges and 7 more

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

17 authors.

Milena Soriano MarcolinoDepartment of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-4278-3771
Clara Sousa DinizTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-4054-8049
Bruno Azevedo ChagasDepartment of Computer Science, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-8571-3135
Mayara Santos MendesTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0001-5170-3564
Raquel PratesDepartment of Computer Science, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-7128-4974
Adriana PaganoArts Faculty, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-3150-3503
Thiago Castro FerreiraArts Faculty, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-0200-3646
Maria Beatriz Moreira AlkmimTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-4241-1866
Clara Rodrigues Alves OliveiraDepartment of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-9437-2344
Isabela Nascimento BorgesDepartment of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-9684-9353
Magda César RaposoTelehealth Center, Universidade Federal de São João Del-Rei, Divinópolis, Brazil.ORCID https://orcid.org/0000-0003-3082-9015
Zilma Silveira Nogueira ReisTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0001-6374-9295
Maria Cristina PaixãoTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-6276-9865
Leonardo Bonisson RibeiroTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0001-9035-0722
Gustavo Machado RochaMedical School, Campus Centro Oeste, Universidade Federal de São João del-Rei, Divinópolis, Brazil.ORCID https://orcid.org/0000-0001-8255-1559
Clareci Silva CardosoTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-0689-1644
Antonio Luiz Pinho RibeiroDepartment of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-0364-3584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough a great number of teleconsultation services have been developed during the COVID-19 pandemic, studies assessing usability and health care provider satisfaction are still incipient.

objectiveThis study aimed to describe the development, implementation, and expansion of a synchronous teleconsultation service targeting patients with symptoms of COVID-19 in Brazil, as well as to assess its usability and health care professionals' satisfaction.

methodsThis mixed methods study was developed in 5 phases: (1) the identification of components, technical and functional requirements, and system architecture; (2) system and user interface development and validation; (3) pilot-testing in the city of Divinópolis; (4) expansion in the cities of Divinópolis, Teófilo Otoni, and Belo Horizonte for Universidade Federal de Minas Gerais faculty and students; and (5) usability and satisfaction assessment, using Likert-scale and open-ended questions.

resultsDuring pilot development, problems contacting users were solved by introducing standardized SMS text messages, which were sent to users to obtain their feedback and keep track of them. Until April 2022, the expanded system served 31,966 patients in 146,158 teleconsultations. Teleconsultations were initiated through chatbot in 27.7% (40,486/146,158) of cases. Teleconsultation efficiency per city was 93.7% (13,317/14,212) in Teófilo Otoni, 92.4% (11,747/12,713) in Divinópolis, and 98.8% (4981/5041) in Belo Horizonte (university campus), thus avoiding in-person assistance for a great majority of patients. In total, 50 (83%) out of 60 health care professionals assessed the system's usability as satisfactory, despite a few system instability problems.

conclusionsThe system provided updated information about COVID-19 and enabled remote care for thousands of patients, which evidenced the critical role of telemedicine in expanding emergency services capacity during the pandemic. The dynamic nature of the current pandemic required fast planning, implementation, development, and updates in the system. Usability and satisfaction assessment was key to identifying areas for improvement. The experience reported here is expected to inform telemedicine strategies to be implemented in a postpandemic scenario.

Indexed as

COVID-19delivery of health caredigital healthmobile healthprimary health carepublic healthremote careremote consultationtelehealthtelemedicinetelemonitoringtext messageusability

Identifiers

PMID36191175
PMCPMC9786675

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.