Bias in Treatment Selection Among Survivors in Assessments of Virtual Care Transition
Overview
The study reports that patients receiving virtual transition of care (VToC) follow-up had lower 30-day readmission rates compared to those without follow-up.
Background
The transition from in-person to virtual care has been accelerated by the COVID-19 pandemic, necessitating effective follow-up strategies to reduce hospital readmissions. Understanding biases in treatment selection is crucial for assessing the effectiveness of virtual care interventions.
Data Highlights
No numerical data provided in the source material.
Key Findings
VToC follow-up was associated with lower 30-day readmission rates.
Survivor treatment selection bias may lead to misclassification of outcomes in observational studies.
Patients readmitted before their scheduled VToC follow-up were categorized as not receiving follow-up.
Conventional risk adjustment methods do not correct for bias caused by outcome-dependent exposure assignment.
Intent-to-treat analysis and time-varying Cox regression models are recommended to address bias.
Clinical Implications
Accurate assessment of exposure timing and outcome is essential to avoid misinterpretation of the benefits of virtual follow-up.
Conclusion
The findings highlight the need to address survivor treatment selection bias in studies evaluating virtual care interventions.
