Utility, Appropriateness, and Content of Electronic Consultations Across Medical Subspecialties.
Adolescent
Adult
Aged
Aged, 80 and over
Delivery of Health Care
/ statistics & numerical data
Electronic Health Records
/ statistics & numerical data
Female
Follow-Up Studies
Humans
Male
Medicine
/ statistics & numerical data
Middle Aged
Program Evaluation
Referral and Consultation
/ statistics & numerical data
Retrospective Studies
Telemedicine
/ methods
United States
Young Adult
Electrode recording
Electronic medical records
Health care
Health care providers
Health systems strengthening
Population statistics
Prevention, policy, and public health
Primary care
Retrospective studies
Rheumatology
Journal
Annals of internal medicine
ISSN: 1539-3704
Titre abrégé: Ann Intern Med
Pays: United States
ID NLM: 0372351
Informations de publication
Date de publication:
19 05 2020
19 05 2020
Historique:
pubmed:
14
4
2020
medline:
2
9
2020
entrez:
14
4
2020
Statut:
ppublish
Résumé
Electronic consultations (e-consults) can facilitate patient access to specialists, minimize travel, and reduce unnecessary in-person visits. However, metrics to enable study of e-consults and their effect on processes and patient care are lacking. To assess novel metrics of e-consult appropriateness and utility. Retrospective cohort study. Primary and specialty care practices at 2 large academic and 2 community hospitals of an integrated health system. Patients with e-consult requests to 5 specialties-hematology, infectious disease, dermatology, rheumatology, and psychiatry-between October 2017 and November 2018. The appropriateness of e-consult inquiries was assessed by review of medical records and defined as meeting the following 4 criteria: not answerable by reviewing evidence-based summary sources ("point-of-care resource test"), not merely requesting logistic information, having appropriate clinical urgency, and having appropriate patient complexity. Interrater agreement in assessments of e-consult appropriateness was assessed by the κ statistic. Utility of e-consults was assessed by the rate of avoided visits (AVs), defined by the absence of an in-person visit to the same specialty within 120 days. Overall, 6512 eligible e-consults were made by 1096 referring providers to 121 specialist consultants. Inquiries were characterized as diagnostic, therapeutic, for provider education, or at the request of the patient. Most consultations were answered within 1 day, with variation across specialties (73.1% for psychiatry to 87.8% for infectious disease). Overall, 70.2% of e-consults met all 4 criteria for appropriateness; the frequency of unmet criteria varied among specialties. Raters agreed on the appropriateness of 94% of e-consults (κ = 0.57 [95% CI, 0.36 to 0.79]), indicating moderate agreement. The overall rate of AVs across the 5 specialties was 81.2%; the highest rate was in psychiatry (92.6%) and the lowest in dermatology (61.9%). Generalizability is unknown outside a single integrated health system, where requesting and consulting providers share a common electronic health record. Novel metrics to assess the appropriateness and utility of e-consults provide meaningful insight into practice, provide a rubric for comparison in future studies in additional settings, and suggest areas to improve resource use and patient care. None.
Sections du résumé
BACKGROUND
Electronic consultations (e-consults) can facilitate patient access to specialists, minimize travel, and reduce unnecessary in-person visits. However, metrics to enable study of e-consults and their effect on processes and patient care are lacking.
OBJECTIVE
To assess novel metrics of e-consult appropriateness and utility.
DESIGN
Retrospective cohort study.
SETTING
Primary and specialty care practices at 2 large academic and 2 community hospitals of an integrated health system.
PARTICIPANTS
Patients with e-consult requests to 5 specialties-hematology, infectious disease, dermatology, rheumatology, and psychiatry-between October 2017 and November 2018.
MEASUREMENTS
The appropriateness of e-consult inquiries was assessed by review of medical records and defined as meeting the following 4 criteria: not answerable by reviewing evidence-based summary sources ("point-of-care resource test"), not merely requesting logistic information, having appropriate clinical urgency, and having appropriate patient complexity. Interrater agreement in assessments of e-consult appropriateness was assessed by the κ statistic. Utility of e-consults was assessed by the rate of avoided visits (AVs), defined by the absence of an in-person visit to the same specialty within 120 days.
RESULTS
Overall, 6512 eligible e-consults were made by 1096 referring providers to 121 specialist consultants. Inquiries were characterized as diagnostic, therapeutic, for provider education, or at the request of the patient. Most consultations were answered within 1 day, with variation across specialties (73.1% for psychiatry to 87.8% for infectious disease). Overall, 70.2% of e-consults met all 4 criteria for appropriateness; the frequency of unmet criteria varied among specialties. Raters agreed on the appropriateness of 94% of e-consults (κ = 0.57 [95% CI, 0.36 to 0.79]), indicating moderate agreement. The overall rate of AVs across the 5 specialties was 81.2%; the highest rate was in psychiatry (92.6%) and the lowest in dermatology (61.9%).
LIMITATION
Generalizability is unknown outside a single integrated health system, where requesting and consulting providers share a common electronic health record.
CONCLUSION
Novel metrics to assess the appropriateness and utility of e-consults provide meaningful insight into practice, provide a rubric for comparison in future studies in additional settings, and suggest areas to improve resource use and patient care.
PRIMARY FUNDING SOURCE
None.
Identifiants
pubmed: 32283548
pii: 2764585
doi: 10.7326/M19-3852
doi:
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
641-647Commentaires et corrections
Type : CommentIn