How Physicians Spend Their Work Time: an Ecological Momentary Assessment.

BACKGROUND: Little is known about how physicians spend their work time. OBJECTIVE: To determine how physicians in outpatient care spend their time at work, using an innovative method: ecological momentary assessment (EMA). DESIGN: Physician activity was measured via EMA, using a smartphone app. PARTICIPANTS: Twenty-eight practices across 16 US states. Sixty-one physicians: general internal medicine, family medicine, non-interventional cardiology, orthopedics. MAIN MEASURES: Proportions of time spent on 14 activities within 6 broad categories of work: direct patient care (including both face-to-face care and other patient care-related activities), electronic health record (EHR) input, administration, teaching/supervising, personal time, and other. KEY RESULTS: After excluding personal time, physicians spent 66.5% of their time on direct patient care (23.6% multitasking with use of the EHR and 42.9% without the EHR), 20.7% on EHR input alone, 7.7% on administrative activities, and 5.0% on other activities (0.6% using the EHR). In total, physicians spent 44.9% of their time on the EHR. LIMITATIONS: Unable to measure time spent at home on the EHR or other work tasks; participating physicians were not a random sample of US physicians. CONCLUSIONS: The efficiency of highly trained professionals spending only two-thirds of their time on direct patient care may be questioned. EHR use continues to account for a large proportion of physician time. Further attempts should be made to redesign both EHRs and physician work processes.

Sleep health behaviors in pediatric patients with newly diagnosed cancer.

OBJECTIVE: Disrupted sleep and fatigue are common symptoms in children with cancer, but little is known about this population's sleep health behaviors and how they may impact nighttime sleep. We aimed to describe the sleep health behaviors of children with newly diagnosed cancer and to determine if they changed over the next 8 weeks. METHODS: Our sample included 169 children with cancer (86 males) who were aged 2-18 years (mean [SD] = 8.14 [4.4] y), with parent proxy report for 140 children (71 male) aged 2-12 years (mean [SD] = 6.67 [3.2] y) and self-report for 78 children (39 male) aged 8-18 years (mean [SD] = 12.0 [2.9] y). Parents and patients completed sleep hygiene questionnaires within 30 days of oncology diagnosis (T1); follow-up questionnaires were collected 8 weeks later (T2). Descriptive analyses characterized the sample by sociodemographic characteristics, cancer diagnosis, treatments received, and prescribed medications. RESULTS: Age-related differences were found in sleep health behaviors, with adolescents reporting better overall sleep health behaviors than younger children at both time points. No differences in sleep health behaviors were found at T1 related to diagnosis, treatment, or medications. Some differences in sleep health behaviors were found at T2 related to gender, diagnosis, treatment, and medications. Sleep health behaviors and sleep problems remained relatively stable over 8 weeks. Fatigue was significantly associated with more pre-bedtime worries, insomnia, and lower rates of daytime sleepiness. CONCLUSIONS: These findings offer novel descriptive characteristics of sleep health behaviors in a pediatric oncology sample and show relatively stable yet somewhat poor sleep health behaviors across 8 weeks. Better understanding of sleep health behaviors as modifiable factors will help inform targeted interventions.