Identifying Patterns of Primary Care In-Person and Telemedicine Use in the Veterans Health Administration: A Latent Class Analysis.

ABSTRACT:

Background

The Veterans Health Administration increased synchronous telemedicine (video and telephone visits) in primary care in response to the COVID-19 pandemic.

Objective

Our objective was to determine veteran use patterns of in-person and telemedicine primary care when all modalities were available.

Design

A retrospective cohort analysis. We performed a latent class analysis of primary care visits over a 1-year period to identify veteran subgroup (i.e., class) membership based on amount of primary care use and modality used. Then, we used multinomial logistic regression with a categorical outcome to identify patient characteristics associated with class identification.

Participants

A random national sample consisting of 564,580 primary care empaneled vetera

SUBMITTER: Staloff J 

PROVIDER: S-EPMC11347524 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature