Objective The study sought to examine the association between clinician burnout and measures of electronic health record (EHR) workload and efficiency, using vendor-derived EHR action log data. Materials and Methods We combined data from a statewide clinician survey on burnout with Epic EHR data from the ambulatory sites of 2 large health systems; the combined dataset included 422 clinicians. We examined whether specific EHR workload and efficiency measures were independently associated with burnout symptoms, using multivariable logistic regression and controlling for clinician characteristics. Results Clinicians with the highest volume of patient call messages had almost 4 times the odds of burnout compared with clinicians with the fewest (adjusted odds ratio, 3.81; 95% confidence interval, 1.44-10.14; P = .007). No other workload measures were significantly associated with burnout. No efficiency variables were significantly associated with burnout in the main analysis; however, in a subset of clinicians for whom note entry data were available, clinicians in the top quartile of copy and paste use were significantly less likely to report burnout, with an adjusted odds ratio of 0.22 (95% confidence interval, 0.05-0.93; P = .039). Discussion High volumes of patient call messages were significantly associated with clinician burnout, even when accounting for other measures of workload and efficiency. In the EHR, “patient calls” encompass many of the inbox tasks occurring outside of face-to-face visits and likely represent an important target for improving clinician well-being. Conclusions Our results suggest that increased workload is associated with burnout and that EHR efficiency tools are not likely to reduce burnout symptoms, with the exception of copy and paste.

No abstract

Objective. Acute gout is among the most painful inflammatory arthritides and a frequent cause of emergency department (ED) visits. Prescription opioids are the leading contributor to the ongoing opioid epidemic; EDs are often the source of the index prescription. Our aim was to assess the burden of opioid use and factors associated with its use among gout patients discharged from the ED.Methods. In the electronic health records system of Lifespan Healthcare System (currently contains 2.2 million records), adult gout patients discharged from the ED or hospital were identified using International Classification of Diseases, Ninth Revision or Tenth Revision diagnostic codes. The study period was March 2015 to September 2017, and only patients with a primary diagnosis of gout were included. If a patient was seen multiple times, only the first encounter was included. For these patients, we estimated the frequency, dose, and duration of opioids prescribed. Using multivariable logistic regression, we ascertained the factors associated with increased odds of opioid prescription at discharge among patients with acute gout.Results. Of the 456 patients, 129 (28.3%) received opioids at discharge (~80% were new patients). The average dose of prescription was mean ± SD 37.9 ± 17.2 mg of morphine equivalent for a median duration of 8 days (interquartile range 5-14). We noted that patients with polyarticular gout attack and diabetes mellitus and those taking opioids prior to admission had higher odds of receiving opioids at discharge. Conclusion.Despite the availability of effective treatments, opioids are commonly used for the management of acute gout. This study highlights an opportunity to curb the opioid epidemic among gout patients.