Enhancing hospitalists smoking cessation counseling and billing compliance by education intervention: a quality improvement project.
Anum AsifHannah L DaileyHeena S ShethMaria PetroulakisPublished in: Journal of community hospital internal medicine perspectives (2021)
Smoking causes an estimated 480,000 deaths every year. At our institute, tobacco treatment services (TTS) provide inpatient counseling and hospitalists have an essential role in providing education and replacement medications at discharge. Our project focused on increasing knowledge among hospitalists to improve the frequency of smoking cessation consultation and utilization of pharmacotherapy, accompanied by appropriate documentation and billing. We used baseline data from March 2018 to February 2019. Educational intervention was implemented from March 2019 to June 2019. Post-intervention results are reported from July 2019 to February 2020. Pre- and post-intervention periods' results were compared. A significantly higher number of patients received TTS counseling during the post-intervention phase compared to pre-intervention (54 vs. 41%, p < 0.0001). A significantly higher number of patients were prescribed inpatient medications (42% to 48%, p = 0.004) and at the time of discharge (22% to 31%, p < 0.0001). However, there was a significant decrease in physician billing from pre-intervention to post-intervention, dropping from 19.5% to 16.2% (p = 0.012). Physicians' gender, experience level, and loss of incentives impacted their consultation and billing behaviors. Future studies should continue to address the importance of TTS and physician behavior on increasing inpatient smoking cessation counseling and treatment.
Keyphrases
- smoking cessation
- randomized controlled trial
- replacement therapy
- primary care
- end stage renal disease
- healthcare
- palliative care
- mental health
- emergency department
- chronic kidney disease
- quality improvement
- newly diagnosed
- prognostic factors
- hepatitis c virus
- peritoneal dialysis
- electronic health record
- machine learning
- deep learning
- patient reported outcomes
- hiv testing
- artificial intelligence