The Epidemiology of Patients' Email Addresses in a French University Hospital: Case-Control 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:
24 02 2021
Historique:
received: 12 03 2019
accepted: 10 08 2020
revised: 20 07 2020
entrez: 24 2 2021
pubmed: 25 2 2021
medline: 18 5 2021
Statut: epublish

Résumé

Health care professionals are caught between the wish of patients to speed up health-related communication via emails and the need for protecting health information. We aimed to analyze the demographic characteristics of patients providing an email, and study the distribution of emails' domain names. We used the information system of the European Hospital Georges Pompidou (HEGP) to identify patients who provided an email address. We used a 1:1 matching strategy to study the demographic characteristics of the patients associated with the presence of an email, and described the characteristics of the emails used (in terms of types of emails-free, business, and personal). Overall, 4.22% (41,004/971,822) of the total population of patients provided an email address. The year of last contact with the patient is the strongest driver of the presence of an email address (odds ratio [OR] 20.8, 95% CI 18.9-22.9). Patients more likely to provide an email address were treated for chronic conditions and were more likely born between 1950 and 1969 (taking patients born before 1950 as reference [OR 1.60, 95% CI 1.54-1.67], and compared to those born after 1990 [OR 0.56, 95% CI 0.53-0.59]). Of the 41,004 email addresses collected, 37,779 were associated with known email providers, 31,005 email addresses were associated with Google, Microsoft, Orange, and Yahoo!, 2878 with business emails addresses, and 347 email addresses with personalized domain names. Emails have been collected only recently in our institution. The importance of the year of last contact probably reflects this recent change in contact information collection policy. The demographic characteristics and especially the age distribution are likely the result of a population bias in the hospital: patients providing email are more likely to be treated for chronic diseases. A risk analysis of the use of email revealed several situations that could constitute a breach of privacy that is both likely and with major consequences. Patients treated for chronic diseases are more likely to provide an email address, and are also more at risk in case of privacy breach. Several common situations could expose their private information. We recommend a very restrictive use of the emails for health communication.

Sections du résumé

BACKGROUND
Health care professionals are caught between the wish of patients to speed up health-related communication via emails and the need for protecting health information.
OBJECTIVE
We aimed to analyze the demographic characteristics of patients providing an email, and study the distribution of emails' domain names.
METHODS
We used the information system of the European Hospital Georges Pompidou (HEGP) to identify patients who provided an email address. We used a 1:1 matching strategy to study the demographic characteristics of the patients associated with the presence of an email, and described the characteristics of the emails used (in terms of types of emails-free, business, and personal).
RESULTS
Overall, 4.22% (41,004/971,822) of the total population of patients provided an email address. The year of last contact with the patient is the strongest driver of the presence of an email address (odds ratio [OR] 20.8, 95% CI 18.9-22.9). Patients more likely to provide an email address were treated for chronic conditions and were more likely born between 1950 and 1969 (taking patients born before 1950 as reference [OR 1.60, 95% CI 1.54-1.67], and compared to those born after 1990 [OR 0.56, 95% CI 0.53-0.59]). Of the 41,004 email addresses collected, 37,779 were associated with known email providers, 31,005 email addresses were associated with Google, Microsoft, Orange, and Yahoo!, 2878 with business emails addresses, and 347 email addresses with personalized domain names.
CONCLUSIONS
Emails have been collected only recently in our institution. The importance of the year of last contact probably reflects this recent change in contact information collection policy. The demographic characteristics and especially the age distribution are likely the result of a population bias in the hospital: patients providing email are more likely to be treated for chronic diseases. A risk analysis of the use of email revealed several situations that could constitute a breach of privacy that is both likely and with major consequences. Patients treated for chronic diseases are more likely to provide an email address, and are also more at risk in case of privacy breach. Several common situations could expose their private information. We recommend a very restrictive use of the emails for health communication.

Identifiants

pubmed: 33625375
pii: v23i2e13992
doi: 10.2196/13992
pmc: PMC7946586
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13992

Informations de copyright

©Vincent Looten, Antoine Neuraz, Nicolas Garcelon, Anita Burgun, Gilles Chatellier, Bastien Rance. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.02.2021.

Références

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Auteurs

Vincent Looten (V)

Medical Informatics Department, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.
UMRS 1138 - Centre de Recherche des Cordeliers, Université Paris Descartes, Sorbonne Paris Cité, INSERM, Paris, France.
Université Paris Descartes, Paris, France.

Antoine Neuraz (A)

UMRS 1138 - Centre de Recherche des Cordeliers, Université Paris Descartes, Sorbonne Paris Cité, INSERM, Paris, France.
Université Paris Descartes, Paris, France.
Department of Medical Informatics, Hôpital Necker-Enfant Malades, Assistance Publique des Hôpitaux de Paris, Paris, France.

Nicolas Garcelon (N)

UMRS 1138 - Centre de Recherche des Cordeliers, Université Paris Descartes, Sorbonne Paris Cité, INSERM, Paris, France.
Institut Imagine, Université Paris Descartes, Université Paris Descartes-Sorbonne Paris Cité, Paris, France.

Anita Burgun (A)

Medical Informatics Department, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.
UMRS 1138 - Centre de Recherche des Cordeliers, Université Paris Descartes, Sorbonne Paris Cité, INSERM, Paris, France.
Université Paris Descartes, Paris, France.
Department of Medical Informatics, Hôpital Necker-Enfant Malades, Assistance Publique des Hôpitaux de Paris, Paris, France.

Gilles Chatellier (G)

Medical Informatics Department, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.

Bastien Rance (B)

Medical Informatics Department, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.
UMRS 1138 - Centre de Recherche des Cordeliers, Université Paris Descartes, Sorbonne Paris Cité, INSERM, Paris, France.
Université Paris Descartes, Paris, France.

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