Cited by 24Telemedicine and Telehealth ImplementationHealthcare Systems and TechnologyElectronic Health Records Systems

Understanding the use of email consultation in primary care using a retrospective observational study with data of Dutch electronic health records

Open access
Huygens, Martine W J, Swinkels, Ilse C S, Verheij, Robert A, Friele, Roland D, van Schayck, Onno C P, de Witte, Luc P·2018·BMJ Open

Abstract

Objectives: It is unclear why the use of email consultation is not more widespread in Dutch general practice, particularly because, since 2006, its costs can be reimbursed. To encourage further implementation, it is needed to understand the current use of email consultations. This study aims to understand the use of email consultation by different patient groups, compared with other general practice (GP) consultations. Setting: For this retrospective observational study, we used Dutch routine electronic health record data obtained from NIVEL Primary Care Database for the years 2010 and 2014. Participants: 200 general practices were included in 2010 (734 122 registered patients) and 434 in 2014 (1 630 386 registered patients). Primary outcome measures: The number and percentage of email consultations and patient characteristics (age, gender, neighbourhood socioeconomic status and diagnoses) of email consultation users were investigated and compared with those who had a telephone or face-to-face consultation. General practice characteristics were also taken into account. Results: 32.0% of the Dutch general practices had at least one email consultation in 2010, rising to 52.8% in 2014. In 2014, only 0.7% of the GP consultations were by email (the others comprised home visits, telephone and face-to-face consultations). Its use highly varied among general practices. Most email consultations were done for psychological (14.7%); endocrine, metabolic and nutritional (10.9%); and circulatory (10.7%) problems. These diagnosis categories appeared less frequently in telephone and face-to-face consultations. Patients who had an email consultation were older than patients who had a telephone or face-to-face consultation. In contrast, patients with diabetes who had an email consultation were younger. Conclusion: Even though email consultation was done in half the general practices in the Netherlands in 2014, the actual use of it is extremely low. Patients who had an email consultation differ from those who had a telephone or face-to-face consultation. In addition, the use of email consultation by patients is dependent on its provision by GPs.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmjopen-2017-019233

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [26]Galobardes B, Shaw M, Lawlor D, et al Indicators of socioeconomic position: methods in social epidemiology. J Epidemiol Community Health 2006; 60: 47– 85. PMC2566160 16415256

Cited by

Sorted by citations

Authors
Huygens, M. W. J., Swinkels, I. C. S., Verheij, R. A., Friele, R. D., van Schayck, O. C. P., & de Witte, L. P.
Affiliations
  • Maastricht University (NL)
  • Netherlands Institute for Health Services Research (NL)
  • Tilburg University (NL)
  • Center for Care Technology Research, Maastricht, The Netherlands
  • Centre for Assistive Technology and Connected Healthcare (CATCH), University of Sheffield, Sheffield, UK
Corresponding author
Huygens, Martine W J
Venue
BMJ Open
Publisher
BMJ
Published
2018-01
Volume
8
Issue
1
Pages
e019233
ISSN
2044-6055 (ISSN-L)
OpenAlex
W2785345712
Cited by
24
References
37
Citations by year
2025: 1 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 8 · 2020: 5 · 2018: 2
FWCI
3.57
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • BMJ Open (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • Research portal (Tilburg University) (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, cc-by-nc)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Research Publications (Maastricht University) (submittedVersion, cc-by-nc)
Funders
ZonMw
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
email consultation, telemedicine, general practice, primary care, telephone consultation, face-to-face consultation, patient characteristics, socioeconomic status, diabetes mellitus, reimbursement
MeSH terms
Adolescent, Adult, Aged, Female, House Calls, Humans, Male, Middle Aged, Netherlands, Primary Health Care, Retrospective Studies, Telephone, Patient Satisfaction, Remote Consultation, Electronic Mail, Young Adult, Electronic Health Records, General Practice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review