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

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.

Google search histories of patients presenting to an emergency department: an observational study.

OBJECTIVE: To test patients' willingness to share and link their prior Google search histories with data from their electronic medical record (EMR), and to explore associations between search histories and clinical conditions. DESIGN: Cross-sectional study of emergency department (ED) patients from 2016 to 2017. SETTING: Academic medical centre ED. PARTICIPANTS: A total of 703 patients were approached; 334 of a volunteer sample of 411 (81%) reported having a Google account; 165 of those (49%) consented to share their Google search histories and EMR data; 119 (72%) were able to do so. 16 (13%) of those 119 patients had no data and were not included in the final count. Patients under the age of 18 or with a triage level of 1 were considered ineligible and were not approached. MAIN OUTCOME MEASURES: Health relatedness of searches in the remote past and within 7 days of the ED visit, and associations between patients' clinical and demographic characteristics and their internet search volume and search content. RESULTS: The 103 participants yielded 591 421 unique search queries; 37 469 (6%) were health related. In the 7 days prior to an ED visit, the percentage of health-related searches was 15%. During that time, 56% of patients searched for symptoms, 53% for information about a hospital and 23% about the treatment or management of a disease. 53% of participants who used Google in the week leading up to their ED visit searched for content directly related to their chief complaint. CONCLUSIONS: Patients were willing to allow researchers simultaneous access to their Google search histories and their EMR data. The change in volume and content of search activity prior to an ED visit suggests opportunities to anticipate and improve health care utilisation in advance of ED visits.

Education Outcomes in a Duty-Hour Flexibility Trial in Internal Medicine.

BACKGROUND: Concern persists that inflexible duty-hour rules in medical residency programs may adversely affect the training of physicians. METHODS: We randomly assigned 63 internal medicine residency programs in the United States to be governed by standard duty-hour policies of the 2011 Accreditation Council for Graduate Medical Education (ACGME) or by more flexible policies that did not specify limits on shift length or mandatory time off between shifts. Measures of educational experience included observations of the activities of interns (first-year residents), surveys of trainees (both interns and residents) and faculty, and intern examination scores. RESULTS: There were no significant between-group differences in the mean percentages of time that interns spent in direct patient care and education nor in trainees' perceptions of an appropriate balance between clinical demands and education (primary outcome for trainee satisfaction with education; response rate, 91%) or in the assessments by program directors and faculty of whether trainees' workload exceeded their capacity (primary outcome for faculty satisfaction with education; response rate, 90%). Another survey of interns (response rate, 49%) revealed that those in flexible programs were more likely to report dissatisfaction with multiple aspects of training, including educational quality (odds ratio, 1.67; 95% confidence interval [CI], 1.02 to 2.73) and overall well-being (odds ratio, 2.47; 95% CI, 1.67 to 3.65). In contrast, directors of flexible programs were less likely to report dissatisfaction with multiple educational processes, including time for bedside teaching (response rate, 98%; odds ratio, 0.13; 95% CI, 0.03 to 0.49). Average scores (percent correct answers) on in-training examinations were 68.9% in flexible programs and 69.4% in standard programs; the difference did not meet the noninferiority margin of 2 percentage points (difference, -0.43; 95% CI, -2.38 to 1.52; P=0.06 for noninferiority). od Institute and the ACGME; iCOMPARE ClinicalTrials.gov number, NCT02274818 .). CONCLUSIONS: There was no significant difference in the proportion of time that medical interns spent on direct patient care and education between programs with standard duty-hour policies and programs with more flexible policies. Interns in flexible programs were less satisfied with their educational experience than were their peers in standard programs, but program directors were more satisfied. (Funded by the National Heart, Lung, and Blo

Where are lifesaving automated external defibrillators located and how hard is it to find them in a large urban city?

OBJECTIVES: Automated external defibrillators (AEDs) are lifesaving, but little is known about where they are located or how to find them. We sought to locate AEDs in high employment areas of Philadelphia and characterize the process of door-to-door surveying to identify these devices. METHODS: Block groups representing approximately the top 3rd of total primary jobs in Philadelphia were identified using the US Census Local Employment Dynamics database. All buildings within these block groups were surveyed during regular working hours over six weeks during July-August 2011. Buildings were characterized as publically accessible or inaccessible. For accessible buildings, address, location type, and AED presence were collected. Total devices, location description and prior use were gathered in locations with AEDs. Process information (total people contacted, survey duration) was collected for all buildings. RESULTS: Of 1420 buildings in 17 block groups, 949 (67%) were accessible, but most 834 (88%) did not have an AED. 283 AEDs were reported in 115 buildings (12%). 81 (29%) were validated through visualization and 68 (24%) through photo because employees often refused access. In buildings with AEDs, several employees (median 2; range 1-8) were contacted to ascertain information, which required several minutes (mean 4; range 1-55). CONCLUSIONS: Door-to-door surveying is a feasible, but time-consuming method for identifying AEDs in high employment areas. Few buildings reported having AEDs and few permitted visualization, which raises concerns about AED access. To improve cardiac arrest outcomes, efforts are needed to improve the availability of AEDs, awareness of their location and access to them.

The New York Times readers' opinions about paying people to take their medicine.

BACKGROUND: There has been considerable interest in using financial incentives to help people improve their health. However, paying people to improve their health touches on strongly held views about personal responsibility. METHOD: The New York Times printed two articles in June 2010 about patient financial incentives, which resulted in 394 comments from their online audience. The authors systematically analyzed those online responses to news media in order to understand the range of themes that were expressed regarding the use of financial incentives to improve health. RESULTS: The New York Times online readers revealed a broad range of attitudes about paying individuals to be healthy. Many comments reflected disdain for financial incentives, describing them as "absurd" or "silly." Other comments reflected the notion that financial incentives reward individuals for being irresponsible toward their health. Many individuals communicated concerns that paying individuals for healthy behaviors may weaken their internal drive to be healthy. A smaller set of comments conveyed support for financial incentives, recognizing it as a small sum to pay to prevent or offset higher costs related to chronic diseases. CONCLUSIONS: Although a measurable group of individuals supported financial incentives, most readers revealed negative perceptions of these approaches and an appeal for greater personal responsibility for individual health. Despite experimental success of financial incentives, negative perceptions may limit their public acceptability and uptake.