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Dataset Information

How do medical and social contexts affect telemedicine efficiency and quality? A propensity-score matching protocol in Canada's primary care.


ABSTRACT:

Introduction

Telemedicine use has risen significantly since the COVID-19 pandemic. Evidence suggests that the quality of care in telemedicine could be as good as in-person care, but this is likely context-dependent. Expert guidelines have declared the appropriate medical conditions, but often without empirical evidence that grapples with the fundamental information limitations facing telemedicine. We draw on the task-technology fit theory and empirical evidence around human communication to examine how the medical and social contexts affect the efficiency and clinical quality of primary care.

Methods and analysis

We will use a population-based dataset from the Canadian province of British Columbia (BC) to inform a quasi-experimental study using propensity score matching (PSM

SUBMITTER: Tsuei SH 

PROVIDER: S-EPMC12458712 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature