Assessment of Clinician Diagnostic Concordance With Video Telemedicine in the Integrated Multispecialty Practice at Mayo Clinic During the Beginning of COVID-19 Pandemic From March to June 2020.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 09 2022
Historique:
entrez: 2 9 2022
pubmed: 3 9 2022
medline: 9 9 2022
Statut: epublish

Résumé

There was a shift in patient volume from in-person to video telemedicine visits during the COVID-19 pandemic. To determine the concordance of provisional diagnoses established at a video telemedicine visit with diagnoses established at an in-person visit for patients presenting with a new clinical problem. This is a diagnostic study of patients who underwent a video telemedicine consultation followed by an in-person outpatient visit for the same clinical problem in the same specialty within a 90-day window. The provisional diagnosis made during the video telemedicine visit was compared with the reference standard diagnosis by 2 blinded, independent medical reviewers. A multivariate logistic regression model was used to determine factors significantly related to diagnostic concordance. The study was conducted at a large academic integrated multispecialty health care institution (Mayo Clinic locations in Rochester, Minnesota; Scottsdale and Phoenix, Arizona; and Jacksonville, Florida; and Mayo Clinic Health System locations in Iowa, Wisconsin, and Minnesota) between March 24 and June 24, 2020. Participants included Mayo Clinic patients residing in the US without age restriction. Data analysis was performed from December 2020 to June 2021. New clinical problem assessed via video telemedicine visit to home using Zoom Care Anyplace integrated into Epic. Concordance of provisional diagnoses established over video telemedicine visits compared against a reference standard diagnosis. There were 2393 participants in the analysis. The median (IQR) age of patients was 53 (37-64) years; 1381 (57.7%) identified as female, and 1012 (42.3%) identified as male. Overall, the provisional diagnosis established over video telemedicine visit was concordant with the in-person reference standard diagnosis in 2080 of 2393 cases (86.9%; 95% CI, 85.6%-88.3%). Diagnostic concordance by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision chapter ranged from 64.7% (95% CI, 42.0%-87.4%) for diseases of the ear and mastoid process to 96.8% (95% CI, 94.7%-98.8%) for neoplasms. Diagnostic concordance by medical specialty ranged from 77.3% (95% CI, 64.9%-89.7%) for otorhinolaryngology to 96.0% (92.1%-99.8%) for psychiatry. Specialty care was found to be significantly more likely than primary care to result in video telemedicine diagnoses concordant with a subsequent in-person visit (odds ratio, 1.69; 95% CI, 1.24-2.30; P < .001). This diagnostic study of video telemedicine visits yielded a high degree of diagnostic concordance compared with in-person visits for most new clinical concerns. Some specific clinical circumstances over video telemedicine were associated with a lower diagnostic concordance, and these patients may benefit from timely in-person follow-up.

Identifiants

pubmed: 36053531
pii: 2795871
doi: 10.1001/jamanetworkopen.2022.29958
pmc: PMC9440401
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2229958

Investigateurs

Stephanie Anaya (S)
Jake Arbon (J)
Nicholas Berry (N)
Adip Bhargav (A)
Lauren Breslin (L)
Gabriell Cummings (G)
Sam Ekstein (S)
Cecilia Fung (C)
Benjamin Gorman (B)
Maya Harrington (M)
James Hwang (J)
Tyler Jarvis (T)
Monica Kirollos (M)
Meg Lang (M)
Rachel Lopdrup (R)
Sheila Malekian (S)
Parth Pradip Patel (PP)
Jordan Pollock (J)
Alex Roth (A)
Hiba Saifuddin (H)
Serena Shimshak (S)
Daniel Sykora (D)
Caitlin VanLith (C)
Samantha Wilder (S)
Samuel Wu (S)

Commentaires et corrections

Type : ErratumIn

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Auteurs

Bart M Demaerschalk (BM)

Department of Neurology and Center for Digital Health, Mayo Clinic College of Medicine and Science, Phoenix, Arizona.

Andrew Pines (A)

Mayo Clinic Alix School of Medicine, Phoenix, Arizona.
Now with Department of Psychiatry, Brigham & Women's Hospital, Boston, Massachusetts.

Richard Butterfield (R)

Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Phoenix, Arizona.

Jack M Haglin (JM)

Mayo Clinic Alix School of Medicine, Phoenix, Arizona.
Department of Orthopedic Surgery, Mayo Clinic College of Medicine and Science, Phoenix, Arizona.

Tufia C Haddad (TC)

Department of Medical Oncology and Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

James Yiannias (J)

Department of Dermatology and Center for Digital Health, Mayo Clinic College of Medicine and Science, Phoenix, Arizona.

Christopher E Colby (CE)

Department of Pediatric and Adolescent Medicine, Neonatology, Critical Care, and Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Sarvam P TerKonda (SP)

Department of Surgery and Plastic and Reconstructive Surgery, Center for Digital Health, Mayo Clinic College of Medicine and Science, Jacksonville, Florida.

Steve R Ommen (SR)

Department of Cardiovascular Medicine and Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Matthew S Bushman (MS)

Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Troy G Lokken (TG)

Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Rebecca N Blegen (RN)

Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Mekenzie D Hoff (MD)

Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Jordan D Coffey (JD)

Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Greg S Anthony (GS)

Center for Digital Health, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.

Nan Zhang (N)

Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Phoenix, Arizona.

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