Synchronous Teleconsultation and Monitoring Service Targeting COVID-19: Leveraging Insights for Postpandemic Health Care
Although 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. This study aimed to describe the development, implementation, and expansion of a synchronous teleconsultation...
Saved in:
Published in: | JMIR medical informatics Vol. 10; no. 12; p. e37591 |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Canada
JMIR Publications
22-12-2022
|
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Abstract | Although 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.
This 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.
This 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.
During 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.
The 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. |
---|---|
AbstractList | Although 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.
This 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.
This 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.
During 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.
The 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. Background: Although 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. Objective: This 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. Methods: This 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. Results: During 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. Conclusions: The 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. 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. |
Author | Pagano, Adriana Ferreira, Thiago Castro Borges, Isabela Nascimento Alkmim, Maria Beatriz Moreira Ribeiro, Leonardo Bonisson Diniz, Clara Sousa Reis, Zilma Silveira Nogueira Cardoso, Clareci Silva Mendes, Mayara Santos Rocha, Gustavo Machado Chagas, Bruno Azevedo Prates, Raquel Marcolino, Milena Soriano Oliveira, Clara Rodrigues Alves Paixão, Maria Cristina Ribeiro, Antonio Luiz Pinho Raposo, Magda César |
AuthorAffiliation | 7 Medical School Campus Centro Oeste Universidade Federal de São João del-Rei Divinópolis Brazil 5 Arts Faculty Universidade Federal de Minas Gerais Belo Horizonte Brazil 3 Institute for Health Technology Assessment Porto Alegre Brazil 2 Telehealth Center University Hospital and Telehealth Network of Minas Gerais Universidade Federal de Minas Gerais Belo Horizonte Brazil 1 Department of Internal Medicine Medical School Universidade Federal de Minas Gerais Belo Horizonte Brazil 4 Department of Computer Science Instituto de Ciências Exatas Universidade Federal de Minas Gerais Belo Horizonte Brazil 6 Telehealth Center Universidade Federal de São João Del-Rei Divinópolis Brazil |
AuthorAffiliation_xml | – name: 2 Telehealth Center University Hospital and Telehealth Network of Minas Gerais Universidade Federal de Minas Gerais Belo Horizonte Brazil – name: 6 Telehealth Center Universidade Federal de São João Del-Rei Divinópolis Brazil – name: 1 Department of Internal Medicine Medical School Universidade Federal de Minas Gerais Belo Horizonte Brazil – name: 4 Department of Computer Science Instituto de Ciências Exatas Universidade Federal de Minas Gerais Belo Horizonte Brazil – name: 5 Arts Faculty Universidade Federal de Minas Gerais Belo Horizonte Brazil – name: 3 Institute for Health Technology Assessment Porto Alegre Brazil – name: 7 Medical School Campus Centro Oeste Universidade Federal de São João del-Rei Divinópolis Brazil |
Author_xml | – sequence: 1 givenname: Milena Soriano orcidid: 0000-0003-4278-3771 surname: Marcolino fullname: Marcolino, Milena Soriano organization: Institute for Health Technology Assessment, Porto Alegre, Brazil – sequence: 2 givenname: Clara Sousa orcidid: 0000-0003-4054-8049 surname: Diniz fullname: Diniz, Clara Sousa organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 3 givenname: Bruno Azevedo orcidid: 0000-0002-8571-3135 surname: Chagas fullname: Chagas, Bruno Azevedo organization: Department of Computer Science, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 4 givenname: Mayara Santos orcidid: 0000-0001-5170-3564 surname: Mendes fullname: Mendes, Mayara Santos organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 5 givenname: Raquel orcidid: 0000-0002-7128-4974 surname: Prates fullname: Prates, Raquel organization: Department of Computer Science, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 6 givenname: Adriana orcidid: 0000-0002-3150-3503 surname: Pagano fullname: Pagano, Adriana organization: Arts Faculty, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 7 givenname: Thiago Castro orcidid: 0000-0003-0200-3646 surname: Ferreira fullname: Ferreira, Thiago Castro organization: Arts Faculty, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 8 givenname: Maria Beatriz Moreira orcidid: 0000-0002-4241-1866 surname: Alkmim fullname: Alkmim, Maria Beatriz Moreira organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 9 givenname: Clara Rodrigues Alves orcidid: 0000-0002-9437-2344 surname: Oliveira fullname: Oliveira, Clara Rodrigues Alves organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 10 givenname: Isabela Nascimento orcidid: 0000-0002-9684-9353 surname: Borges fullname: Borges, Isabela Nascimento organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 11 givenname: Magda César orcidid: 0000-0003-3082-9015 surname: Raposo fullname: Raposo, Magda César organization: Telehealth Center, Universidade Federal de São João Del-Rei, Divinópolis, Brazil – sequence: 12 givenname: Zilma Silveira Nogueira orcidid: 0000-0001-6374-9295 surname: Reis fullname: Reis, Zilma Silveira Nogueira organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 13 givenname: Maria Cristina orcidid: 0000-0002-6276-9865 surname: Paixão fullname: Paixão, Maria Cristina organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 14 givenname: Leonardo Bonisson orcidid: 0000-0001-9035-0722 surname: Ribeiro fullname: Ribeiro, Leonardo Bonisson organization: Telehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil – sequence: 15 givenname: Gustavo Machado orcidid: 0000-0001-8255-1559 surname: Rocha fullname: Rocha, Gustavo Machado organization: Medical School, Campus Centro Oeste, Universidade Federal de São João del-Rei, Divinópolis, Brazil – sequence: 16 givenname: Clareci Silva orcidid: 0000-0003-0689-1644 surname: Cardoso fullname: Cardoso, Clareci Silva organization: Medical School, Campus Centro Oeste, Universidade Federal de São João del-Rei, Divinópolis, Brazil – sequence: 17 givenname: Antonio Luiz Pinho orcidid: 0000-0002-0364-3584 surname: Ribeiro fullname: Ribeiro, Antonio Luiz Pinho organization: Institute for Health Technology Assessment, Porto Alegre, Brazil |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36191175$$D View this record in MEDLINE/PubMed |
BookMark | eNpdkl1rFDEUhgep2A_3L8iACN6M5iTzFS8EWatdWKnQ1duQZM7MZplNtklmsf_ebLeW1quEk4eHc07e8-zEOotZNgPygQKvP7Km4vAiO6OUQ8FrXp48uZ9msxA2hBAooa7r5lV2ymrgAE11lv25ubN67Z11U8hXOKJ2NkxjlNE4m0vb5T-cNdF5Y4f8Bv3eaMxX0g8YD5X59e_F1wL4p3yJe_RyOBQXNphhHUPeO5__dCHukge3RudXKMe4zufS4-vsZS_HgLOH8yL79e1yNb8qltffF_Mvy0KXVROLvmxoWdMOoesBSKn6nhIgitSUS6WlJholcl1paCRjbaU0061WhLGOE12yi2xx9HZObsTOm630d8JJI-4Lzg9C-mj0iEIRbPqOIG2lLnvV8bYtORBQCMhBqeT6fHTtJrXFTqONXo7PpM9frFmLwe0Fb9q0-CoJ3j8IvLudMESxNUHjOEqL6QMEbSjQmjDKEvr2P3TjJm_TqhJV8SRj_DDduyOlvQvBY__YDBBxiIa4j0bi3jzt_JH6FwT2F_vPtkY |
CitedBy_id | crossref_primary_10_2196_48464 crossref_primary_10_3389_fpubh_2024_1282067 crossref_primary_10_2196_43135 |
Cites_doi | 10.1136/bmj.n2061 10.1590/0102-311x00088920 10.1016/j.cgh.2020.07.014 10.1016/j.ijporl.2020.110383 10.2196/19264 10.1136/qshc.2008.027763 10.1016/j.resconrec.2020.105169 10.1258/1357633053499886 10.2196/22146 10.19153/cleiej.24.3.6 10.5753/sbcas.2021.16108 10.1177/2150132720976480 10.1136/bmj.m1182 10.1016/j.pec.2008.08.002 10.1146/annurev-publhealth-090519-093711 10.1093/jamia/ocaa072 10.1016/j.ijnsa.2020.100008 10.2471/BLT.11.099408 10.3390/ijerph17134866 |
ContentType | Journal Article |
Copyright | 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, Magda César Raposo, Zilma Silveira Nogueira Reis, Maria Cristina Paixão, Leonardo Bonisson Ribeiro, Gustavo Machado Rocha, Clareci Silva Cardoso, Antonio Luiz Pinho Ribeiro. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.12.2022. 2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 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, Magda César Raposo, Zilma Silveira Nogueira Reis, Maria Cristina Paixão, Leonardo Bonisson Ribeiro, Gustavo Machado Rocha, Clareci Silva Cardoso, Antonio Luiz Pinho Ribeiro. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.12.2022. 2022 |
Copyright_xml | – notice: 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, Magda César Raposo, Zilma Silveira Nogueira Reis, Maria Cristina Paixão, Leonardo Bonisson Ribeiro, Gustavo Machado Rocha, Clareci Silva Cardoso, Antonio Luiz Pinho Ribeiro. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.12.2022. – notice: 2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 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, Magda César Raposo, Zilma Silveira Nogueira Reis, Maria Cristina Paixão, Leonardo Bonisson Ribeiro, Gustavo Machado Rocha, Clareci Silva Cardoso, Antonio Luiz Pinho Ribeiro. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.12.2022. 2022 |
DBID | NPM AAYXX CITATION 3V. 7X7 7XB 88C 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU COVID DWQXO FYUFA GHDGH K9. M0S M0T PIMPY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
DOI | 10.2196/37591 |
DatabaseName | PubMed CrossRef ProQuest Central (Corporate) Health & Medical Collection (Proquest) ProQuest Central (purchase pre-March 2016) Healthcare Administration Database (Alumni) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central ProQuest Central Essentials ProQuest Central ProQuest One Community College Coronavirus Research Database ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni Edition) Health Management Database (Proquest) Publicly Available Content Database (Proquest) (PQ_SDU_P3) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals |
DatabaseTitle | PubMed CrossRef Publicly Available Content Database ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Health & Medical Complete (Alumni) ProQuest Health Management Coronavirus Research Database ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Central China ProQuest Hospital Collection (Alumni) ProQuest Central ProQuest Health & Medical Complete Health Research Premium Collection ProQuest One Academic UKI Edition Health and Medicine Complete (Alumni Edition) ProQuest Central Korea ProQuest Health Management (Alumni Edition) ProQuest One Academic ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | PubMed Publicly Available Content Database MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: http://www.doaj.org/ sourceTypes: Open Website |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 2291-9694 |
EndPage | e37591 |
ExternalDocumentID | oai_doaj_org_article_b0e7fd0e28ac4fbd98849101be1e91bb 10_2196_37591 36191175 |
Genre | Journal Article |
GeographicLocations | Brazil |
GeographicLocations_xml | – name: Brazil |
GroupedDBID | 53G 5VS 7X7 8FI 8FJ AAFWJ ABUWG ADBBV AFKRA ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV BENPR CCPQU DIK EMOBN FYUFA GROUPED_DOAJ HMCUK HYE KQ8 M0T M48 M~E NPM OK1 PGMZT PIMPY RPM UKHRP AAYXX CITATION 3V. 7XB 8FK AZQEC COVID DWQXO K9. PQEST PQQKQ PQUKI PRINS 7X8 5PM AFPKN |
ID | FETCH-LOGICAL-c457t-f472462de1df1104bff2010b0629abcac0ceae9c5c17a3385bc3c8cb033d90c43 |
IEDL.DBID | RPM |
ISSN | 2291-9694 |
IngestDate | Tue Oct 22 15:00:53 EDT 2024 Tue Sep 17 21:32:22 EDT 2024 Fri Oct 25 03:08:07 EDT 2024 Thu Oct 10 17:40:43 EDT 2024 Fri Nov 22 00:42:33 EST 2024 Wed Oct 16 00:41:41 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 12 |
Keywords | telemedicine remote consultation primary health care text message COVID-19 digital health telemonitoring usability mobile health telehealth delivery of health care public health remote care |
Language | English |
License | 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, Magda César Raposo, Zilma Silveira Nogueira Reis, Maria Cristina Paixão, Leonardo Bonisson Ribeiro, Gustavo Machado Rocha, Clareci Silva Cardoso, Antonio Luiz Pinho Ribeiro. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.12.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c457t-f472462de1df1104bff2010b0629abcac0ceae9c5c17a3385bc3c8cb033d90c43 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0003-4054-8049 0000-0001-5170-3564 0000-0003-4278-3771 0000-0001-9035-0722 0000-0003-0689-1644 0000-0002-6276-9865 0000-0002-3150-3503 0000-0002-9684-9353 0000-0003-0200-3646 0000-0002-4241-1866 0000-0001-6374-9295 0000-0002-0364-3584 0000-0002-8571-3135 0000-0002-7128-4974 0000-0001-8255-1559 0000-0002-9437-2344 0000-0003-3082-9015 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9786675/ |
PMID | 36191175 |
PQID | 2759753394 |
PQPubID | 4997117 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_b0e7fd0e28ac4fbd98849101be1e91bb pubmedcentral_primary_oai_pubmedcentral_nih_gov_9786675 proquest_miscellaneous_2721260323 proquest_journals_2759753394 crossref_primary_10_2196_37591 pubmed_primary_36191175 |
PublicationCentury | 2000 |
PublicationDate | 20221222 |
PublicationDateYYYYMMDD | 2022-12-22 |
PublicationDate_xml | – month: 12 year: 2022 text: 20221222 day: 22 |
PublicationDecade | 2020 |
PublicationPlace | Canada |
PublicationPlace_xml | – name: Canada – name: Toronto – name: Toronto, Canada |
PublicationTitle | JMIR medical informatics |
PublicationTitleAlternate | JMIR Med Inform |
PublicationYear | 2022 |
Publisher | JMIR Publications |
Publisher_xml | – name: JMIR Publications |
References | ref13 ref24 ref12 ref23 ref15 ref14 ref20 Marcolino, MS (ref4) 2016; 13 ref11 ref22 ref10 ref21 ref2 ref1 ref17 ref16 ref19 ref18 ref8 ref7 ref9 ref3 ref6 ref5 |
References_xml | – ident: ref13 – ident: ref7 doi: 10.1136/bmj.n2061 – ident: ref14 doi: 10.1590/0102-311x00088920 – ident: ref22 doi: 10.1016/j.cgh.2020.07.014 – ident: ref21 doi: 10.1016/j.ijporl.2020.110383 – ident: ref3 doi: 10.2196/19264 – ident: ref16 doi: 10.1136/qshc.2008.027763 – ident: ref1 doi: 10.1016/j.resconrec.2020.105169 – ident: ref17 doi: 10.1258/1357633053499886 – volume: 13 start-page: 59 issue: 1 year: 2016 ident: ref4 publication-title: Policy in Focus contributor: fullname: Marcolino, MS – ident: ref6 doi: 10.2196/22146 – ident: ref11 doi: 10.19153/cleiej.24.3.6 – ident: ref10 doi: 10.5753/sbcas.2021.16108 – ident: ref18 doi: 10.1177/2150132720976480 – ident: ref24 doi: 10.1136/bmj.m1182 – ident: ref15 doi: 10.1016/j.pec.2008.08.002 – ident: ref2 doi: 10.1146/annurev-publhealth-090519-093711 – ident: ref19 doi: 10.1093/jamia/ocaa072 – ident: ref9 – ident: ref8 – ident: ref23 doi: 10.1016/j.ijnsa.2020.100008 – ident: ref5 doi: 10.2471/BLT.11.099408 – ident: ref20 doi: 10.3390/ijerph17134866 – ident: ref12 |
SSID | ssj0001416667 |
Score | 2.2982435 |
Snippet | Although a great number of teleconsultation services have been developed during the COVID-19 pandemic, studies assessing usability and health care provider... Background: Although a great number of teleconsultation services have been developed during the COVID-19 pandemic, studies assessing usability and health care... BACKGROUNDAlthough a great number of teleconsultation services have been developed during the COVID-19 pandemic, studies assessing usability and health care... BackgroundAlthough a great number of teleconsultation services have been developed during the COVID-19 pandemic, studies assessing usability and health care... |
SourceID | doaj pubmedcentral proquest crossref pubmed |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | e37591 |
SubjectTerms | Coronaviruses COVID-19 Original Paper Software Telemedicine |
SummonAdditionalLinks | – databaseName: Directory of Open Access Journals dbid: DOA link: http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LaxUxFD5oF0UQqe-xtURwG5rXTBJ39kULPha9irshr8GCjsXbgv57z8lML71ScOM2CUMm30lOvpwXwOs2t052KXKqus0NcjfucSgfXNtpHUIQNcr15Mx--OIOjyhNzqrUF_mETemBp4Xbi6LYIYuiXEhmiNk7Z1DFyVhk8TLGevqK7gaZqq8rhsxhdhPuk68zStmetq2Xa8qn5ui_7WL5t3_kDYVzvAUP5psiezvN8CHcKeMj2Hw_28Ifw6-z32Oi1LbI3dmCytlQNOW3ybTOwpjZtF_p4Y7NRwJbVMdvajn4-Pn0kEv_hr0rKM61WBE7HZdE1pcMr7KM6vhe0Bvz9_PEpnAlRuFKT-DT8dHi4ITPdRR4Mq295IOxynQqF5kH1PYmDgPZwKPolA8xhSRSCcWnNkkbkLK2MenkUhRaZy-S0U9hY_wxlufA8HbhY5ec9UoYmYNDbW8GW0oKVLXENrB7vcD9xZQuo0eaQQj0FYEG9mnZV52U3bo2IOb9jHn_L8wb2LkGrZ-33LJX-HnkXihzDbxadeNmIQtIGAuCgWNQU3dCK93Aswnj1Uw0UknKW9qAXUN_barrPeP515qQG5k4Clv74n_82zbcUxRhIRVXagc2Ln9elZdwd5mvdquI_wGjhgTT priority: 102 providerName: Directory of Open Access Journals |
Title | Synchronous Teleconsultation and Monitoring Service Targeting COVID-19: Leveraging Insights for Postpandemic Health Care |
URI | https://www.ncbi.nlm.nih.gov/pubmed/36191175 https://www.proquest.com/docview/2759753394 https://search.proquest.com/docview/2721260323 https://pubmed.ncbi.nlm.nih.gov/PMC9786675 https://doaj.org/article/b0e7fd0e28ac4fbd98849101be1e91bb |
Volume | 10 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED_RPUxICPFNYFRG4jVrYjtxzNvoNq2CAdIK4i2yHQcqrV61bhL897tzkmpFe9qrnUSW75z7_XxfAB-Kpqjy0tmUum6nErlbqvHRtK2KUghjTBazXE_O1Ndf1eERlckphlyYGLTv7GI_nC_3w-JPjK1cLd1kiBObfD-dIvMpEehORjBCbHiLoseLFUmeMLULjyjMGRVsIlShqSOMQLJAlSm3TFCs1H8XvPw_SvKW2Tl-Ao97vMgOunU9hQc-PIPd094j_hz-nv0LjgrcIoNnc2pqQzmV552DnZnQsO7U0vUd638MbB7Dv2lk-u3n7DDN9Uf2xaNSx5ZFbBbWRNnXDAEto26-K7ppXi4c65KWGCUtvYAfx0fz6Unad1NInSzUVdpKxWXJG583Ldp8aduWPOE2K7k21hmXOW-8doXLlUHiWlgnXOVsJkSjMyfFS9gJF8G_BoYYQ9vSVUrzTOaNqdDmy1Z57wz1LlEJjIcNrldd0YwayQYJo47CSOATbftmkmpcx4GLy991L-naZl61TeZ5ZZxsbaOrSiK4ya3Pvc6tTWBvEFrdH7x1zfHzyMBQ8xJ4v5nGI0N-EBM8CgOfQXtdZoKLBF51Mt6sZNCRBNSW9LeWuj2DWhrLcvda-ebeb76Fh5ySK3Kecr4HO1eX1_4djNbN9RjB_uzzOF4YjKO63wBL3gYu |
link.rule.ids | 230,315,729,782,786,866,887,2106,27933,27934,53800 |
linkProvider | National Library of Medicine |
linkToHtml | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED-xIQ2kic8BgTGMxGtWx3bihDfoNrWiHUgriLfIdhyotGbVuknjv-fOSaoV8bRX24ms3F38-_m-AD6kVZonmbMxdd2OFXK3uMClcZ2nmZTGGB6yXEdn-vRnfnRMZXLSPhcmBO07Oz9szheHzfx3iK1cLtygjxMbfJsOkflkCHQHW3Af7ZXzWyQ9XK0o8oXpHdilQGdUsYHUaUE9YSTSBapNuXEIhVr9_wOY_8ZJ3jp4Th7fcctP4FGHNNmndvop3PPNM9iZdr7053Bz9qdxVBoXuT-bUTscysY8b13zzDQVa-2dLv5Y90thsxA4TiPDrz_GR3FSfGQTj-YQmh2xcbMisr9iCIUZ9QFe0h31Yu5Ym-7EKN1pD76fHM-Go7jrwxA7leqruFZaqExUPqlqRAvK1jX50C3PRGGsM447b3zhUpdog5Q3tU663FkuZVVwp-QL2G4uGv8KGKKTwmYu14XgKqlMjmhB1dp7Z6jriY7goBdMuWzLbZRIU0iIZRBiBJ9JXOtJqo4dBi4uf5XdBy8t97quuBe5caq2VZHnCmFRYn3ii8TaCPZ7YZedya5Kga9H7oY6G8H79TQaG3lQTONRGLgGT_qMSyEjeNnqxnonvW5FoDe0ZmOrmzOoLKGgd6ccr-_85Dt4MJpNJ-VkfPrlDTwUlKKRiFiIfdi-urz2b2FrVV0fBDP5C2s0Gdg |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Synchronous+Teleconsultation+and+Monitoring+Service+Targeting+COVID-19%3A+Leveraging+Insights+for+Postpandemic+Health+Care&rft.jtitle=JMIR+medical+informatics&rft.au=Marcolino%2C+Milena+Soriano&rft.au=Diniz%2C+Clara+Sousa&rft.au=Chagas%2C+Bruno+Azevedo&rft.au=Mendes%2C+Mayara+Santos&rft.date=2022-12-22&rft.issn=2291-9694&rft.eissn=2291-9694&rft.volume=10&rft.issue=12&rft.spage=e37591&rft.epage=e37591&rft_id=info:doi/10.2196%2F37591&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2291-9694&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2291-9694&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2291-9694&client=summon |