https://www.sciencedaily.com/releases/2019/11/191121141404.htm

Using a machine learning application, researchers uncovered the most common themes associated with facilities' reviews on Google and Yelp, then compared them to a survey run by the Substance Abuse and Mental Health Services Administration (SAMSHA) -- the most widespread evaluation method currently used for these facilities. However, that survey is intended to be an inventory of services provided and not patient satisfaction, so only 7 percent of its codes aligned themes from the patient reviews.

"It would be prudent of us to have a comprehensive method of defining quality, capturing data and adjusting care to be both meaningful and patient-centered at treatment facilities," said lead author Anish Agarwal, MD, an assistant professor of Emergency Medicine. "Without these considerations, we're attempting to tackle a component of the opioid epidemic without taking into account the voices of those who are actually seeking help."