Evidence map›Paper›PMID 31152043›Full record

ArticleBMJ open2019

Supporting the spread and scale-up of electronic consultation across Canada: cross-sectional analysis.

Clare Liddy, Aminu Bello, Jean Cook, Neil Drimer, Maxine Dumas Pilon, Gerard Farrell, Jodi Glassford, Laurie Ireland, Rana McDonald, Véronique Nabelsi and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Rethinking screening during and after COVID-19: Should things ever be the same again?Canadian family physician Medecin de famille canadien · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Clare LiddyCT Lamont Primary Health Care Research Centre, Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Aminu BelloDepartment of Medicine, University of Alberta, Calgary, Alberta, Canada.
Jean CookCanadian Foundation for Healthcare Improvement, Ottawa, Ontario, Canada.
Neil DrimerDepartment of Family Medicine, McGill University, Montreal, Quebec, Canada.
Maxine Dumas PilonNewfoundland and Labrador Medical Association, St John's, Newfoundland and Labrador, Canada.
Gerard FarrellDepartment of Family Medicine, Memorial University, St John's, Newfoundland and Labrador, Canada.
Jodi GlassfordAlberta Referral Pathways, Calgary, Alberta, Canada.
Laurie IrelandNine Circles Community Health Centre, Winnipeg, Manitoba, Canada.
Rana McDonaldNine Circles Community Health Centre, Winnipeg, Manitoba, Canada.
Véronique NabelsiUniversité du Quebec en Outaouais, Gatineau, Quebec, Canada.
Luis OppenheimerDepartment of Surgery, University of Manitoba, Winnipeg, Manitoba, Canada.
Alex SingerDepartment of Family Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.
Erin KeelyDivision of Endocrinology/Metabolism, The Ottawa Hospital, Ottawa, Ontario, Canada.

Funding

CIHR
6 · The paper itself

Abstract

objectiveTo examine the process of implementing an electronic consultation (eConsult) service and evaluate its impact along key metrics outlined by the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework.

designCross-sectional study.

settingClinics using eConsult in four provinces across Canada: Alberta, Manitoba, Quebec and Newfoundland and Labrador.

participantsAll eConsult cases submitted in four participating provinces were included.

interventionThe eConsult service is a secure online application that allows primary care providers and specialists to communicate regarding a patient's care. We measured the impact using system utilisation data and mandatory close-out surveys completed at the end of each eConsult.

main outcome measuresImplementation progress and impact were examined using the five categories outlined by the RE-AIM framework: reach, effectiveness, adoption, implementation and maintenance.

resultsFour provinces provided data from different periods, ranging from 4 years (Alberta) to 10 months (Manitoba). Total cases completed ranged from 96 (Manitoba) to 6885 (Alberta). Newfoundland had the largest menu of available specialties (n=35), while Alberta and Quebec had the smallest (n=22). The most frequently requested groups varied across provinces, with only endocrinology appearing in the top five for all provinces. The average specialist response time ranged from 3 days (Manitoba) to 16.7 days (Alberta). Between 54% (Newfoundland) and 66% (Manitoba) of cases resulted in new or additional information. Primary care providers avoided completing referrals they had originally considered in 36% (Newfoundland) to 53% of cases (Manitoba), while only between 27 % (Quebec) and 29% (Newfoundland) of cases resulted in a referral. In every province, services demonstrated higher rates of usage in their last quarter of data than their first.

conclusionseConsult was successfully implemented in four new provinces across Canada. Implementation strategies and scope varied, but services demonstrated substantial consistency on several key metrics, most notably on whether new information was learnt and impact on decision to refer.

Indexed as

CanadaCross-Sectional StudiesHealth Services AccessibilityHumansPrimary Health CareQuality of Health CareReferral and ConsultationRemote ConsultationRural Health ServicesSpecializationaccess to careeConsultprimary carereferralwait times.

Identifiers

PMID31152043
PMCPMC6550029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.