Teleconsultation Between Patients and Health Care Professionals in the Catalan Primary Care Service: Message Annotation Analysis in a Retrospective Cross-Sectional Study.


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
17 09 2020
Historique:
received: 06 04 2020
accepted: 22 06 2020
revised: 18 06 2020
pubmed: 21 7 2020
medline: 26 9 2020
entrez: 21 7 2020
Statut: epublish

Résumé

Over the last decade, telemedicine services have been introduced in the public health care systems of several industrialized countries. In Catalonia, the use of eConsulta, an asynchronous teleconsultation service between primary care professionals and citizens in the public health care system, has already reached 1 million cases. Before the COVID-19 pandemic, the use of eConsulta was growing at a monthly rate of 7%, and the growth has been exponential from March 15, 2020 to the present day. Despite its widespread usage, there is little qualitative evidence describing how this tool is used. The aim of this study was to annotate a random sample of teleconsultations from eConsulta, and to evaluate the level of agreement between health care professionals with respect to the annotation. Twenty general practitioners retrospectively annotated a random sample of 5382 cases managed by eConsulta according to three aspects: the type of interaction according to 6 author-proposed categories, whether the practitioners believed a face-to-face visit was avoided, and whether they believed the patient would have requested a face-to-face visit had eConsulta not been available. A total of 1217 cases were classified three times by three different professionals to assess the degree of consensus among them. The general practitioners considered that 79.60% (4284/5382) of the teleconsultations resulted in avoiding a face-to-face visit, and considered that 64.96% (3496/5382) of the time, the patient would have made a face-to-face visit in the absence of a service like eConsulta. The most frequent uses were for management of test results (26.77%, 1433/5354), management of repeat prescriptions (24.30%, 1301/5354), and medical enquiries (14.23%, 762/5354). The degree of agreement among professionals as to the annotations was mixed, with the highest consensus demonstrated for the question "Has the online consultation avoided a face-to-face visit?" (3/3 professionals agreed 67.95% of the time, 827/1217), and the lowest consensus for the type of use of the teleconsultation (3/3 professionals agreed 57.60% of the time, 701/1217). This study shows the ability of eConsulta to reduce the number of face-to-face visits for 55% (79% × 65%) to 79% of cases. In comparison to previous research, these results are slightly more pessimistic, although the rates are still high and in line with administrative data proxies, showing that 84% of patients using teleconsultations do not make an in-person appointment in the following 3 months. With respect to the type of consultation performed, our results are similar to the existing literature, thus providing robust support for eConsulta's usage. The mixed degree of consensus among professionals implies that results derived from artificial intelligence tools such as message classification algorithms should be interpreted in light of these shortcomings.

Sections du résumé

BACKGROUND
Over the last decade, telemedicine services have been introduced in the public health care systems of several industrialized countries. In Catalonia, the use of eConsulta, an asynchronous teleconsultation service between primary care professionals and citizens in the public health care system, has already reached 1 million cases. Before the COVID-19 pandemic, the use of eConsulta was growing at a monthly rate of 7%, and the growth has been exponential from March 15, 2020 to the present day. Despite its widespread usage, there is little qualitative evidence describing how this tool is used.
OBJECTIVE
The aim of this study was to annotate a random sample of teleconsultations from eConsulta, and to evaluate the level of agreement between health care professionals with respect to the annotation.
METHODS
Twenty general practitioners retrospectively annotated a random sample of 5382 cases managed by eConsulta according to three aspects: the type of interaction according to 6 author-proposed categories, whether the practitioners believed a face-to-face visit was avoided, and whether they believed the patient would have requested a face-to-face visit had eConsulta not been available. A total of 1217 cases were classified three times by three different professionals to assess the degree of consensus among them.
RESULTS
The general practitioners considered that 79.60% (4284/5382) of the teleconsultations resulted in avoiding a face-to-face visit, and considered that 64.96% (3496/5382) of the time, the patient would have made a face-to-face visit in the absence of a service like eConsulta. The most frequent uses were for management of test results (26.77%, 1433/5354), management of repeat prescriptions (24.30%, 1301/5354), and medical enquiries (14.23%, 762/5354). The degree of agreement among professionals as to the annotations was mixed, with the highest consensus demonstrated for the question "Has the online consultation avoided a face-to-face visit?" (3/3 professionals agreed 67.95% of the time, 827/1217), and the lowest consensus for the type of use of the teleconsultation (3/3 professionals agreed 57.60% of the time, 701/1217).
CONCLUSIONS
This study shows the ability of eConsulta to reduce the number of face-to-face visits for 55% (79% × 65%) to 79% of cases. In comparison to previous research, these results are slightly more pessimistic, although the rates are still high and in line with administrative data proxies, showing that 84% of patients using teleconsultations do not make an in-person appointment in the following 3 months. With respect to the type of consultation performed, our results are similar to the existing literature, thus providing robust support for eConsulta's usage. The mixed degree of consensus among professionals implies that results derived from artificial intelligence tools such as message classification algorithms should be interpreted in light of these shortcomings.

Identifiants

pubmed: 32687477
pii: v22i9e19149
doi: 10.2196/19149
pmc: PMC7530682
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e19149

Informations de copyright

©Francesc López Seguí, Sandra Walsh, Oscar Solans, Cristina Adroher Mas, Gabriela Ferraro, Anna García-Altés, Francesc García Cuyàs, Luis Salvador Carulla, Marta Sagarra Castro, Josep Vidal-Alaball. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 17.09.2020.

Références

J Med Internet Res. 2020 Mar 16;22(3):e14478
pubmed: 32175914
Telemed J E Health. 2014 Jul;20(7):669-72
pubmed: 24784174
Aten Primaria. 2020 Jun - Jul;52(6):418-422
pubmed: 32402477
Int J Environ Res Public Health. 2020 Feb 09;17(3):
pubmed: 32050435
Ehealth Telecommun Syst Netw. 2016 Jun;5(2):39-56
pubmed: 29104830
BMC Health Serv Res. 2019 Jun 11;19(1):370
pubmed: 31185997
JMIR Med Inform. 2020 Jan 31;8(1):e16484
pubmed: 32012061
Telemed J E Health. 2012 Jun;18(5):339-46
pubmed: 22703378
Br J Dermatol. 2001 Apr;144(4):696-707
pubmed: 11298526

Auteurs

Francesc López Seguí (F)

TIC Salut Social, Ministry of Health, Barcelona, Spain.
Centre de Recerca en Economía de la Salut, Pompeu Fabra University, Barcelona, Spain.

Sandra Walsh (S)

Institut de Biologia Evolutiva (CSIC), Pompeu Fabra University, Barcelona, Spain.

Oscar Solans (O)

Health Department, Catalan Ministry of Health, Barcelona, Spain.

Cristina Adroher Mas (C)

Sant Joan de Déu Hospital, Barcelona, Spain.

Gabriela Ferraro (G)

CSIRO, Australian National University, Canberra, Australia.

Anna García-Altés (A)

Agency for Healthcare Quality and Evaluation of Catalonia, Catalan Ministry of Health, Barcelona, Spain.

Francesc García Cuyàs (F)

Sant Joan de Déu Hospital, Barcelona, Spain.

Luis Salvador Carulla (L)

Research School of Population Health, Australian National University, Canberra, Australia.

Marta Sagarra Castro (M)

Centre d'Atenció Primària Capellades, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, Barcelona, Spain.

Josep Vidal-Alaball (J)

Health Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, Sant Fruitós de Bages, Spain.
Unitat de Suport a la Recerca de la Catalunya Central, Fundacio Institut Universitari per a la recerca a l'Atencio Primaria de Salut Jordi Gol i Gurina, Sant Fruitós de Bages, Spain.

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