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      Assessment of Inpatient Time Allocation Among First-Year Internal Medicine Residents Using Time-Motion Observations

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          Abstract

          IMPORTANCE

          The United States spends more than $12 billion annually on graduate medical education. Understanding how residents balance patient care and educational activities may provide insights into how the modern physician workforce is being trained.

          OBJECTIVE

          To describe how first-year internal medicine residents (interns) allocate time while working on general medicine inpatient services.

          DESIGN, SETTING, AND PARTICIPANTS

          Direct observational secondary analysis, including 6 US university-affiliated and community-based internal medicine programs in the mid-Atlantic region, of the Comparative Effectiveness of Models Optimizing Patient Safety and Resident Education (iCOMPARE) trial, a cluster-randomized trial comparing different duty-hour policies. A total of 194 weekday shifts were observed and time motion data were collected, sampled by daytime, nighttime, and call shifts in proportion to the distribution of shifts within each program from March 10 through May 31, 2016. Data were analyzed from June 1, 2016, through January 5, 2019.

          MAIN OUTCOMES AND MEASURES

          Mean time spent in direct and indirect patient care, education, rounds, handoffs, and miscellaneous activities within a 24-hour period and in each of four 6-hour periods (morning, afternoon, evening, and night). Time spent multitasking, simultaneously engaged in combinations of direct patient care, indirect patient care, or education, and in subcategories of indirect patient care were tracked.

          RESULTS

          A total of 80 interns (55% men; mean [SD] age, 28.7 [2.3] years) were observed across 194 shifts, totaling 2173 hours. A mean (SD) of 15.9 (0.7) hours of a 24-hour period (66%) was spent in indirect patient care, mostly interactions with the patient’s medical record or documentation (mean [SD], 10.3 [0.7] hours; 43%). A mean (SD)of 3.0 (0.1) hours was spent in direct patient care (13%) and 1.8 (0.3) hours in education (7%). This pattern was consistent across the 4 periods of the day. Direct patient care and education frequently occurred when interns were performing indirect patient care. Multitasking with 2 or more indirect patient care activities occurred for a mean (SD) of 3.8 (0.4) hours (16%) of the day.

          CONCLUSIONS AND RELEVANCE

          This study’s findings suggest that within these US teaching programs, interns spend more time participating in indirect patient care than interacting with patients or in dedicated educational activities. These findings provide an essential baseline measure for future efforts designed to improve the workday structure and experience of internal medicine trainees, without making a judgment on the current allocation of time.

          TRIAL REGISTRATION

          ClinicalTrials.gov identifier: NCT02274818

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          Most cited references32

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          Prevalence of Depression, Depressive Symptoms, and Suicidal Ideation Among Medical Students: A Systematic Review and Meta-Analysis.

          Medical students are at high risk for depression and suicidal ideation. However, the prevalence estimates of these disorders vary between studies.
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            Burnout and satisfaction with work-life balance among US physicians relative to the general US population.

            Despite extensive data about physician burnout, to our knowledge, no national study has evaluated rates of burnout among US physicians, explored differences by specialty, or compared physicians with US workers in other fields. We conducted a national study of burnout in a large sample of US physicians from all specialty disciplines using the American Medical Association Physician Masterfile and surveyed a probability-based sample of the general US population for comparison. Burnout was measured using validated instruments. Satisfaction with work-life balance was explored. Of 27 276 physicians who received an invitation to participate, 7288 (26.7%) completed surveys. When assessed using the Maslach Burnout Inventory, 45.8% of physicians reported at least 1 symptom of burnout. Substantial differences in burnout were observed by specialty, with the highest rates among physicians at the front line of care access (family medicine, general internal medicine, and emergency medicine). Compared with a probability-based sample of 3442 working US adults, physicians were more likely to have symptoms of burnout (37.9% vs 27.8%) and to be dissatisfied with work-life balance (40.2% vs 23.2%) (P < .001 for both). Highest level of education completed also related to burnout in a pooled multivariate analysis adjusted for age, sex, relationship status, and hours worked per week. Compared with high school graduates, individuals with an MD or DO degree were at increased risk for burnout (odds ratio [OR], 1.36; P < .001), whereas individuals with a bachelor's degree (OR, 0.80; P = .048), master's degree (OR, 0.71; P = .01), or professional or doctoral degree other than an MD or DO degree (OR, 0.64; P = .04) were at lower risk for burnout. Burnout is more common among physicians than among other US workers. Physicians in specialties at the front line of care access seem to be at greatest risk.
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              Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties.

              Little is known about how physician time is allocated in ambulatory care.
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                Author and article information

                Contributors
                Journal
                101589534
                40864
                JAMA Intern Med
                JAMA Intern Med
                JAMA internal medicine
                2168-6106
                2168-6114
                18 September 2021
                01 June 2019
                24 September 2021
                : 179
                : 6
                : 760-767
                Affiliations
                Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
                Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
                Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia; Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
                Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
                Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
                Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
                Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
                Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
                Department of Medicine, Yale-New Haven Hospital, New Haven, Connecticut
                Department of Emergency Medicine, University of Pennsylvania, Philadelphia
                Department of Medicine, Johns Hopkins University, Baltimore, Maryland
                Author notes
                Corresponding Author: Krisda H. Chaiyachati, MD, MPH, MSHP, General Internal Medicine, University of Pennsylvania Perelman School of Medicine, 423 Guardian Dr, 1313 Blockley Hall, Philadelphia, PA 19104 ( kchai@ 123456pennmedicine.upenn.edu ).

                Author Contributions: Dr Chaiyachati had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

                Concept and design: Chaiyachati, Shea, D. Asch, Bellini, Sternberg, Yeager, J. Asch, Desai.

                Acquisition, analysis, or interpretation of data: All authors.

                Drafting of the manuscript: Chaiyachati, Shea, Liu, Desai.

                Critical revision of the manuscript for important intellectual content: Chaiyachati, Shea, D. Asch, Bellini, Dine, Sternberg, Gitelman, Yeager, J. Asch, Desai.

                Statistical analysis: Chaiyachati, Liu, Dine, Sternberg.

                Obtained funding: Shea, D. Asch, Sternberg. Administrative, technical, or material support: Chaiyachati, Shea, Bellini, Sternberg, Gitelman, J. Asch, Desai.

                Supervision: Chaiyachati, Shea, D. Asch.

                Additional Contributions: The iCOMPARE research group provided guidance in the initial planning phases of the time-motion substudy. Anjala Tess, MD, Beth Israel Deaconess Hospital, Boston, Massachusetts, allowed us to use a standardized video of morning rounds when training observers for our study.

                Article
                NIHMS1739779
                10.1001/jamainternmed.2019.0095
                8462976
                30985861
                0f6c3a64-315a-4e99-807e-d0a4adf71d4a

                This is an open access article distributed under the terms of the CC-BY License. http://creativecommons.org/licenses/by/4.0/

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