Feasibility of Telemedicine in the Management Strategy of Patients With Lymphoma Amid the COVID-19 Pandemic in Spain: Prospective Observational Study.

COVID-19 EHR cancer electronic health record lymphoma patient portal risk factor telehealth telemedicine

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
17 Nov 2023
Historique:
received: 07 10 2021
accepted: 03 01 2023
revised: 31 08 2022
medline: 17 1 2023
pubmed: 17 1 2023
entrez: 16 1 2023
Statut: epublish

Résumé

On March 14, 2020, a state of alarm was declared in Spain due to the spread of SARS-CoV-2. Beyond this date, COVID-19 in the country changed the practice of oncologic care. Since recurrent hospital visits were a potential risk factor for contagion, the aim of this prospective observational study was to analyze the consequences of the COVID-19 pandemic in the health care of patients with lymphoma. All data were obtained from the electronic medical record. Variables such as age, sex, reason of the visit, use of the patient portal, changes in management, enrollment in clinical trials, and COVID-19 infection were recorded. In all, 290 patients visited the lymphoma clinic, totaling 437 appointments. The median age was 66 (range 18-94) years, and 157 (54.1%) patients were male. Of them, 214 (73.8%) patients had only 1 visit to the clinic. Only 23 (7.9%) patients did not have access to the patient portal. Amid the COVID-19 pandemic, 78 (26.9%) patients remained in active treatment, 35 (12.1%) experienced delays in their treatments, and 6 (2.1%) experienced treatment discontinuation. During the follow-up, only 7 (2.4%) patients had a COVID-19 infection (6 cases with confirmed polymerase chain reaction test and 1 case with clinical suspicion). Despite the implementation of telemedicine strategies to avoid visits to the hospital, 66 (22.8%) patients had in-person visits at the lymphoma clinic. Patients who attended in-person consultations were younger than those who preferred telemedicine consultations (62 vs 66 years; P=.10) and had less use of the patient portal (17/224, 7.6% vs 6/66, 9%; P=.10), although these differences did not reach statistical significance. Patients who attended in-person visits were more likely to have had only 1 visit to the hospital (29/66, 43.9% vs 185/224, 82.6%; P<.001). Regarding the reason of in-person consultations, more patients were on active treatment in comparison to those using telemedicine resources (37/66, 56.1% vs 42/224, 18.3%; P<.001). Patients with a preference for telemedicine strategies had more surveillance visits (147/224, 65.6% vs 24/66, 36.4%; P<.001). Regarding treatment modifications, more treatment delays (29/224, 12.9% vs 6/66, 9.1%; P=.10) and more definite treatment discontinuations (6/224, 2.7% vs 0/66, 0%; P=.10) were seen in patients using telemedicine resources when compared to patients attending in-person visits, although these differences did not reach statistical significance. Regarding the type of therapy, patients attending in-person visits were more likely to receive an intravenous treatment rather than those using telemedicine (23/66, 62.2% vs 17/224, 40.5%; P<.001). Telemedicine such as patient portals are feasible strategies in the management of patients with lymphoma during the COVID-19 pandemic, with a reduction of in-person visits to the hospital and a very low contagion rate.

Sections du résumé

BACKGROUND BACKGROUND
On March 14, 2020, a state of alarm was declared in Spain due to the spread of SARS-CoV-2. Beyond this date, COVID-19 in the country changed the practice of oncologic care.
OBJECTIVE OBJECTIVE
Since recurrent hospital visits were a potential risk factor for contagion, the aim of this prospective observational study was to analyze the consequences of the COVID-19 pandemic in the health care of patients with lymphoma.
METHODS METHODS
All data were obtained from the electronic medical record. Variables such as age, sex, reason of the visit, use of the patient portal, changes in management, enrollment in clinical trials, and COVID-19 infection were recorded.
RESULTS RESULTS
In all, 290 patients visited the lymphoma clinic, totaling 437 appointments. The median age was 66 (range 18-94) years, and 157 (54.1%) patients were male. Of them, 214 (73.8%) patients had only 1 visit to the clinic. Only 23 (7.9%) patients did not have access to the patient portal. Amid the COVID-19 pandemic, 78 (26.9%) patients remained in active treatment, 35 (12.1%) experienced delays in their treatments, and 6 (2.1%) experienced treatment discontinuation. During the follow-up, only 7 (2.4%) patients had a COVID-19 infection (6 cases with confirmed polymerase chain reaction test and 1 case with clinical suspicion). Despite the implementation of telemedicine strategies to avoid visits to the hospital, 66 (22.8%) patients had in-person visits at the lymphoma clinic. Patients who attended in-person consultations were younger than those who preferred telemedicine consultations (62 vs 66 years; P=.10) and had less use of the patient portal (17/224, 7.6% vs 6/66, 9%; P=.10), although these differences did not reach statistical significance. Patients who attended in-person visits were more likely to have had only 1 visit to the hospital (29/66, 43.9% vs 185/224, 82.6%; P<.001). Regarding the reason of in-person consultations, more patients were on active treatment in comparison to those using telemedicine resources (37/66, 56.1% vs 42/224, 18.3%; P<.001). Patients with a preference for telemedicine strategies had more surveillance visits (147/224, 65.6% vs 24/66, 36.4%; P<.001). Regarding treatment modifications, more treatment delays (29/224, 12.9% vs 6/66, 9.1%; P=.10) and more definite treatment discontinuations (6/224, 2.7% vs 0/66, 0%; P=.10) were seen in patients using telemedicine resources when compared to patients attending in-person visits, although these differences did not reach statistical significance. Regarding the type of therapy, patients attending in-person visits were more likely to receive an intravenous treatment rather than those using telemedicine (23/66, 62.2% vs 17/224, 40.5%; P<.001).
CONCLUSIONS CONCLUSIONS
Telemedicine such as patient portals are feasible strategies in the management of patients with lymphoma during the COVID-19 pandemic, with a reduction of in-person visits to the hospital and a very low contagion rate.

Identifiants

pubmed: 36645838
pii: v7i1e34128
doi: 10.2196/34128
pmc: PMC10659072
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e34128

Informations de copyright

©Raul Cordoba, Alberto Lopez-Garcia, Daniel Morillo, Maria-Angeles Perez-Saenz, Elham Askari, Rosa Elena Prieto, Eva Castillo Bazan, Pilar Llamas Sillero, Antonio Herrero Gonzalez, Jorge Short Apellaniz, Marta del Olmo, Javier Arcos. Originally published in JMIR Formative Research (https://formative.jmir.org), 17.11.2023.

Références

Future Oncol. 2020 Jun;16(18):1225-1227
pubmed: 32356460
N Engl J Med. 2020 Apr 30;382(18):1708-1720
pubmed: 32109013
J Med Internet Res. 2020 May 8;22(5):e19577
pubmed: 32349962
Health Aff (Millwood). 2014 Feb;33(2):200-6
pubmed: 24493761
J Med Internet Res. 2022 Mar 29;24(3):e33128
pubmed: 35348471
J Med Internet Res. 2020 Feb 20;22(2):e16407
pubmed: 32130131
Leukemia. 2020 Jun;34(6):1637-1645
pubmed: 32332856
Oncologist. 2020 Jun;25(6):e936-e945
pubmed: 32243668
Br J Haematol. 2020 Jul;190(1):e16-e20
pubmed: 32379921
J Natl Compr Canc Netw. 2020 Mar 20;:1-4
pubmed: 32197238
J Med Internet Res. 2020 Dec 1;22(12):e24087
pubmed: 33147166
Bone Marrow Transplant. 2020 Nov;55(11):2180-2184
pubmed: 32376969
JAMA Oncol. 2020 Jul 1;6(7):1108-1110
pubmed: 32211820
Future Oncol. 2020 Apr;16(11):615-617
pubmed: 32266838
Lancet Oncol. 2020 Mar;21(3):335-337
pubmed: 32066541
J Diabetes Sci Technol. 2010 May 01;4(3):666-84
pubmed: 20513335

Auteurs

Raul Cordoba (R)

Department of Hematology, Clinical and Organizational Innovation Unit (UICO), Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Alberto Lopez-Garcia (A)

Department of Hematology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Daniel Morillo (D)

Department of Hematology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Maria-Angeles Perez-Saenz (MA)

Department of Hematology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Elham Askari (E)

Department of Hematology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Rosa Elena Prieto (RE)

Department of Hematology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Eva Castillo Bazan (E)

Department of Pharmacy, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Pilar Llamas Sillero (P)

Department of Hematology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Antonio Herrero Gonzalez (A)

Department of Systems and Information Technology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Jorge Short Apellaniz (J)

Clinical and Organizational Innovation Unit (UICO), Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Marta Del Olmo (M)

Clinical and Organizational Innovation Unit (UICO), Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Javier Arcos (J)

Clinical and Organizational Innovation Unit (UICO), Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain.

Classifications MeSH