In a recent study conducted at Weill Cornell Medical College in New York City, it was revealed that clinical notes for patients with substance use disorder (SUD) often contained stigmatizing language. Examples of such language included terms like junkie, dirty user, and this drunk, which were found in notes for 84.4% of patients with SUD or opioid use disorder (OUD) diagnoses.
The study, presented at the American Psychiatric Association annual meeting, highlighted that terms like abuse, opioid abuse, addict, and substance dependence were commonly used in these clinical notes, potentially contributing to the stigma surrounding individuals with SUD. Furthermore, the use of stigmatizing language varied among different care providers, with social workers being the most likely to include such language in their notes.
The study emphasized the negative impact of stigmatizing language on patients’ treatment outcomes and overall experience with healthcare. Research has shown that the words used in clinical documentation can influence how patients perceive their treatment and may affect the quality of care they receive.
To address this issue, the researchers recommended using people-first language as an alternative to stigmatizing terms. For example, instead of labeling someone as an addict, providers can use phrases like person with substance use disorder to promote a more respectful and empathetic approach to patient care.
Moving forward, the study proposed the use of natural language processing tools to identify and address stigmatizing language in clinical notes. By integrating these tools into electronic health records, healthcare providers could receive real-time recommendations on using appropriate language that avoids perpetuating harmful stereotypes and biases.
Overall, the study underscored the importance of promoting language that is respectful, non-stigmatizing, and person-centered in healthcare settings. By being mindful of the words we use, providers can create a more supportive and inclusive environment for all patients, regardless of their health conditions or backgrounds.
