Skip to main content

Main menu

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

Electronic Consultations to Improve the Primary Care-Specialty Care Interface for Cardiology in the Medically Underserved: A Cluster-Randomized Controlled Trial

J. Nwando Olayiwola, Daren Anderson, Nicole Jepeal, Robert Aseltine, Christopher Pickett, Jun Yan and Ianita Zlateva
The Annals of Family Medicine March 2016, 14 (2) 133-140; DOI: https://doi.org/10.1370/afm.1869
J. Nwando Olayiwola
1Center for Excellence in Primary Care, San Francisco General Hospital, San Francisco, California
2Department of Family and Community Medicine, University of California San Francisco, San Francisco, California
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: OlayiwolaJ@fcm.ucsf.edu
Daren Anderson
3Weitzman Institute, Community Health Center, Inc, Middletown, Connecticut
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicole Jepeal
4Rollins School of Public Health, Emory University, Atlanta, Georgia
BA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert Aseltine
5Division of Behavioral Sciences and Community Health, University of Connecticut Health Center, Farmington, Connecticut
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christopher Pickett
6Pat and Jim Calhoun Cardiology Center, University of Connecticut Health Center, Farmington, Connecticut
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jun Yan
7Department of Statistics, University of Connecticut, Storrs, Connecticut
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ianita Zlateva
3Weitzman Institute, Community Health Center, Inc, Middletown, Connecticut
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • Figure 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1

    Workflow and volume of cardiology referrals, August 1, 2012, through July 31, 2013.

    Note: flow chart illustrates results of every referral during the 1-year study.

    F2F = face-to-face appointment; e-consultation = electronic consultation.

    aPatient died of noncardiac-related event.

Tables

  • Figures
  • Additional Files
    • View popup
    Table 1

    Demographic Characteristics of Primary Care Clinicians and Patients

    CharacteristicInterventionControl
    Clinician, No.1719
    Age, mean (SD), y37.3 (7.5)40.5 (10.1)
    Years in practice, mean (SD)6.1 (7.2)10.1 (9.6)
    Female, No. (%)13 (76)12 (63)
    Race
     Asian, No. (%)3 (18)5 (26)
     Black, No. (%)3 (18)2 (11)
     Hispanic, No. (%)01 (5)
     White, No. (%)11 (65)11 (58)
    Clinician specialty
     Family medicine physician, No. (%)8 (47)13 (68)
     Internal medicine physician, No. (%)3 (18)1 (5)
     Nurse practitioner/physician assistant, No. (%)6 (35)5 (26)
    Patient, No.229361
    Age, mean (SD), y51.9 (15.8)53.8 (13.3)
    Female, No. (%)119 (52)202 (56)
    Race
     White, No. (%)94 (41)134 (37)
     Black, No. (%)39 (17)53 (15)
     Hispanic, No. (%)68 (30)140 (39)
     Other, No. (%)28 (12)34 (9)
    Smoking status
     Current every day smoker, No. (%)58 (25)93 (26)
     Current some day smoker, No. (%)2 (0.9)1 (0.2)
     Former smoker, No. (%)44 (19)94 (26)
     Never smoker, No. (%)94 (41)144 (40)
     Smoker, current status unknown, No. (%)30 (13)29 (8)
    Body mass index, mean (SD)30.8 (8.4)31.6 (7.8)
    Total cholesterol, mean (SD), mg/dL192.5 (50.7)188.4 (46.0)
    Diagnosis of diabetes, No. (%)63 (28)104 (29)
    Framingham risk score, mean (SD)13.9 (10.4)14.0 (10.1)
    Insurance status
     Medicaid, No. (%)143 (62)217 (60)
     Medicare, No. (%)32 (14)65 (18)
     Other public, No. (%)1 (0)0
     Private, No. (%)21 (9)47 (13)
     Uninsured, No. (%)32 (14)32 (9)
    Treatment priority
     Routine, No. (%)205 (90)291 (81)
     Urgent, No. (%)22 (10)67 (19)
     Critical, No. (%)2 (1)3 (1)
    • View popup
    Table 2

    Cox Regression Model Comparing Time to Cardiologist Consult

    VariableExponentiated Coefficient95% CIP Value
    Intervention1.451.14–1.76.019
    Control (omitted)………
    Black1.070.84–1.30.57
    Hispanic0.910.67–1.14.42
    Other race0.910.54–1.29.63
    White (omitted)………
    Age1.000.99–1.01.83
    Male0.880.71–1.06.16
    Female (omitted)………
    Routine priority0.840.50–1.19.33
    Urgent priority (omitted)………
    • ↵Note: Model predicts time to date a consultation is provided by cardiologist where the date is either the date of e-consultation or date of face-to-face visit for those bypassing e-consultation pathway.

    • View popup
    Table 3

    Comparing Time to Consultation With Cardiologist Among Study Groups (N = 590 Referrals)

    VariableGroup
    Intervention, E-consultationIntervention, TraditionalControl
    Median time to consultation, d52924
    Patients not consulting cardiologist within 31 days of referral, %144838
    Patients not consulting cardiologist within 180 days of referral, %62116
    • View popup
    Table 4

    Six-month Follow-up of Cardiac Events Among Intervention and Control Patients

    Cardiac EventIntervention Control n = 361
    Total n = 229Traditional Pathway n = 109E-consultation Pathway n = 120
    Death from any cause, No. (%)0 (0)0 (0)0 (0)1 (0.3)
    Death from cardiovascular causes, No. (%)0 (0)0 (0)0 (0)0
    Myocardial infarction, No. (%)0 (0)0 (0)0 (0)0
    Coronary artery bypass surgery, No. (%)0 (0)0 (0)0 (0)0
    Catheterization with stenting or angioplasty, No. (%)3 (1.3)1 (0.9)2 (1.7)2 (0.6)
    Diagnostic catheterization, No. (%)1 (0.4)1 (0.9)06 (1.7)
    Emergency department visits with possible cardiac symptoms, No. (%)a4 (1.7)3 (2.8)1 (0.8)21 (5.8)
    Hospitalization for potential cardiac causes, No. (%)10 (4.4)7 (6.4)3 (2.5)19 (5.2)
    • a Includes chest pain, palpitations/arrhythmia, shortness of breath, and potential cardiac ischemia (rule out myocardial infarction).

Additional Files

  • Figures
  • Tables
  • The Article in Brief

    Electronic Consultations to Improve the Primary Care-Specialty Care Interface for Cardiology in the Medically Underserved: A Cluster-Randomized Controlled Trial

    J. Nwando Olayiwola , and colleagues

    Background The exchange of information between primary care clinicians and specialists to whom they refer patients is often not optimal. This study tests the efficacy and effectiveness of electronic consultations (eConsults) in reducing wait times and improving access to cardiac care for underserved populations.

    What This Study Found Electronic consultations appear to improve access to and timeliness of referrals to cardiac care. eConsults also reduce overall specialty utilization and streamline specialty referrals without an increase in adverse cardiovascular outcomes. Two-thirds or patients referred to a cardiologist by the e-consultation pathway never required a face-to-face visit. Electronic consultations were completed, on average, almost a month sooner than face-to face consultations, even for those deemed urgent by the referring physician. After six months, there were fewer cardiac-related emergency department visits for the intervention group.

    Implications

    • These results suggest that a substantial number of consultations can be safely and more efficiently managed through a secure electronic exchange of information without compromising the quality of care and with improved convenience for the patient.
PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 14 (2)
The Annals of Family Medicine: 14 (2)
Vol. 14, Issue 2
March/April 2016
  • Table of Contents
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
  • In Brief
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Annals of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Electronic Consultations to Improve the Primary Care-Specialty Care Interface for Cardiology in the Medically Underserved: A Cluster-Randomized Controlled Trial
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
4 + 0 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Electronic Consultations to Improve the Primary Care-Specialty Care Interface for Cardiology in the Medically Underserved: A Cluster-Randomized Controlled Trial
J. Nwando Olayiwola, Daren Anderson, Nicole Jepeal, Robert Aseltine, Christopher Pickett, Jun Yan, Ianita Zlateva
The Annals of Family Medicine Mar 2016, 14 (2) 133-140; DOI: 10.1370/afm.1869

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
Electronic Consultations to Improve the Primary Care-Specialty Care Interface for Cardiology in the Medically Underserved: A Cluster-Randomized Controlled Trial
J. Nwando Olayiwola, Daren Anderson, Nicole Jepeal, Robert Aseltine, Christopher Pickett, Jun Yan, Ianita Zlateva
The Annals of Family Medicine Mar 2016, 14 (2) 133-140; DOI: 10.1370/afm.1869
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • A Follow-Up to "The Family Tree Spreads its Limbs: National Academy of Medicine Family Physician New Members 2021"
  • Patients Assess an eConsult Models Acceptability at 5 US Academic Medical Centers
  • Barriers and facilitators for implementation of electronic consultations (eConsult) to enhance access to specialist care: a scoping review
  • Integrating Inpatient Electronic Consultations in Cardiology Fellowship
  • General practitioners perceptions towards the use of digital health services for citizens in primary care: a qualitative interview study
  • Development of a virtual benign hematology consultation service: results of a pilot project involving 5 medical centers
  • Primary Care Outcomes Questionnaire: psychometric testing of a new instrument
  • Using the Quadruple Aim Framework to Measure Impact of Heath Technology Implementation: A Case Study of eConsult
  • The impact of health information technology on patient safety
  • Los Angeles Safety-Net Program eConsult System Was Rapidly Adopted And Decreased Wait Times To See Specialists
  • What are the cost savings associated with providing access to specialist care through the Champlain BASE eConsult service? A costing evaluation
  • In This Issue: Confronting Constraints on Individual Behavior & Outcomes
  • Google Scholar

More in this TOC Section

  • Teamwork Among Primary Care Staff to Achieve Regular Follow-Up of Chronic Patients
  • Shared Decision Making Among Racially and/or Ethnically Diverse Populations in Primary Care: A Scoping Review of Barriers and Facilitators
  • Convenience or Continuity: When Are Patients Willing to Wait to See Their Own Doctor?
Show more Original Research

Similar Articles

Subjects

  • Methods:
    • Quantitative methods
  • Other research types:
    • Health services
    • Professional practice
  • Core values of primary care:
    • Access
    • Coordination / integration of care

Content

  • Current Issue
  • Past Issues
  • Early Access
  • Plain-Language Summaries
  • Multimedia
  • Podcast
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2025 Annals of Family Medicine