Evidence map›Paper›PMID 36630164›Full record

ArticleJMIR formative research2023

User Experience Regarding Digital Primary Health Care in Santarém, Amazon: Evaluation of Patient Satisfaction and Doctor's Feedback.

Kaio Jia Bin, Patrícia Gabriela Santana Alves, Raquel Costa, Paula Cruz Eiras, Luciano Nader de Araujo, Antonio José Rodrigues Pereira, Carlos Carvalho, Ana Maria Malik

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

Kaio Jia BinHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-3767-6288
Patrícia Gabriela Santana AlvesHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7274-6405
Raquel CostaHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-9770-8002
Paula Cruz EirasHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-1666-3912
Luciano Nader de AraujoHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-2932-9582
Antonio José Rodrigues PereiraHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-8287-323X
Carlos CarvalhoFaculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-1618-8509
Ana Maria MalikFundação Getúlio Vargas Escola de Administração de Empresas de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-0813-8886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the arrival of the pandemic, telemedicine has been widely used to provide medical care and can be used to assist patients in regions far from urban centers that are difficult to access, such as riverside communities in the Brazilian Amazon region. A telemedicine project connecting São Paulo, a mega-metropolis, to Paysandú, a riverside district in the Amazon, was built to serve the local population where access to the nearest medical care is 6 hours away by speedboat.

objectiveThis study aims to assess the feedback from patients and doctors regarding the use of telemedicine in outpatient care at Paysandú, a riverside district in the Amazon.

methodsThis is a single-center study following the guidelines "Evaluating digital health products" from Public Health England, with local adaptations for the project and the Brazilian reality, that was conducted between São Paulo and Santarém in Brazil. A survey was carried out with patients who were treated by a doctor in the city of São Paulo, about 2500 km from the local basic health unit, between September 27 to December 15, 2021. At the end of each teleconsultation, the attending physician answered an administrative survey form, and the patient answered a satisfaction survey.

resultsA total of 111 patients completed the satisfaction survey from a total of 220 consultations carried out during the period (95% CI margin error 0.22%). According to the survey, more than 95% of patients were satisfied with the service, 87.4% (n=97) had previous experience with videoconferencing, and 76.6% (n=85) reported that their demand was fully solved. Additionally, according to the hired doctor's feedback, the average duration of the consultations was between 15 and 20 minutes. Of the 220 teleconsultations performed, 90.9% (n=200) of the demands were solved with support from the local health team, and 99.1% (n=218) of the appointments had a problem with audio or video.

conclusionsThis teleconsultation project between São Paulo and Paysandú showed that it is possible to offer medical care from more developed locations to communities far from urban centers, as is the case with Paysandú District. Beyond the feasibility of the infrastructure, acceptance and satisfaction among patients were high. This health care supply model has proven to be functional and should be expanded nationally or perhaps internationally to regions lacking medical assistance. Escalation of the project does not seem too difficult once infrastructure issues are solved.

Indexed as

AmazonassistBrazilcommunityconsultationdigital healthmedical carepandemicpatientphysicianpilotpilot modelprimary health caresurveytechnologytelemedicineurbanuser’s experience

Identifiers

PMID36630164
PMCPMC9878359

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.