Dataset Information

Evaluation of Attention Switching and Duration of Electronic Inbox Work Among Primary Care Physicians.

ABSTRACT:

Importance

Primary care physicians (PCPs) report multitasking during workdays while processing electronic inbox messages, but scant systematic information exists on attention switching and its correlates in the health care setting.

Objectives

To describe PCPs' frequency of attention switching associated with electronic inbox work, identify potentially modifiable factors associated with attention switching and inbox work duration, and compare the relative association of attention switching and other factors with inbox work duration.

Design, setting, and participants

This cross-sectional study of the work of 1275 PCPs in an integrated group serving 4.5 million patients used electronic health record (EHR) access logs from March 1 to 31, 2018, to evaluate PCPs' frequency of attention switching. Statistical analysis was performed from October 15, 2018, to August 28, 2020.

Main outcomes and measures

Attention switching was defined as switching between the electronic inbox, other EHR work, and non-EHR periods. Inbox work duration included minutes spent on electronic inbox message views and related EHR tasks. Multivariable models controlled for the exposures.

Results

The 1275 PCPs studied (721 women [56.5%]; mean [SD] age, 45.9 [8.5] years) had a mean (SD) of 9.0 (7.6) years of experience with the medical group and received a mean (SD) of 332.6 (148.3) (interquartile range, 252-418) new inbox messages weekly. On workdays, PCPs made a mean (SD) of 79.4 (21.8) attention switches associated with inbox work and did a mean (SD) 64.2 (18.7) minutes of inbox work over the course of 24 hours on workdays. In the model for attention switching, each additional patient secure message beyond the reference value was associated with 0.289 (95% CI, 0.217-0.362) additional switches, each additional results message was associated with 0.203 (95% CI, 0.127-0.278) additional switches, each additional request message was associated with 0.190 (95% CI, 0.124-0.257) additional switches, and each additional administrative message was associated with 0.262 (95% CI, 0.166-0.358) additional switches. Having a panel (a list of patients assigned to a primary care team) with more elderly patients (0.144 switches per percentage increase [95% CI, 0.009-0.278]) and higher inbox work duration (0.468 switches per additional minute of inbox work [95% CI, 0.411-0.524]) were also associated with higher attention switching involving the inbox. In the model for inbox work duration, each additional patient secure message beyond the reference value was associated with 0.151 (95% CI, 0.085-0.217) additional minutes, each additional results message was associated with 0.338 (95% CI, 0.272-0.404) additional minutes, each additional request message was associated with 0.101 (95% CI, 0.041-0.161) additional minutes, and each additional administrative message was associated with 0.179 (95% CI, 0.093-0.265) additional minutes. A higher percentage of the panel's patients initiating messages (0.386 minutes per percentage increase [95% CI, 0.026-0.745]) and attention switches (0.373 minutes per switch [95% CI, 0.328-0.419]) were also associated with higher inbox work duration. In addition, working at a medical center where all PCPs had high inbox work duration was independently associated with high or low inbox work duration.

Conclusions and relevance

This study suggests that PCPs make frequent attention switches during workdays while processing electronic inbox messages. Message quantity was associated with both attention switching and inbox work duration. Physician and patient panel characteristics had less association with attention switching and inbox work duration. Assisting PCPs with message quantity might help modulate both attention switching and inbox work duration.

SUBMITTER: Lieu TA

PROVIDER: S-EPMC7821028 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evaluation of Attention Switching and Duration of Electronic Inbox Work Among Primary Care Physicians.

Lieu Tracy A TA Warton E Margaret EM East Jeffrey A JA Moeller Mark F MF Prausnitz Stephanie S Ballesca Manuel M Mark Gloria G Akbar Fatema F Awsare Sameer S Chen Yi-Fen Irene YI Reed Mary E ME

JAMA network open 20210104 1

<h4>Importance</h4>Primary care physicians (PCPs) report multitasking during workdays while processing electronic inbox messages, but scant systematic information exists on attention switching and its correlates in the health care setting.<h4>Objectives</h4>To describe PCPs' frequency of attention switching associated with electronic inbox work, identify potentially modifiable factors associated with attention switching and inbox work duration, and compare the relative association of attention s ...[more]

PMID: 33475754

Similar Datasets

Project description:BackgroundPhysician burnout remains a prevalent issue globally, negatively affecting work satisfaction and patient care. However, exploration of the physical work environments of physicians, a potential influencing factor for burnout, remains scarce. The physical work environment is everything that surrounds the physician, including the doctor's office, the clinic, the clinic's building, the waiting, and staff rooms. The aims of this study were to describe aspects of the physical work environment of primary care physicians (PCPs) and to explore the association between the physical work environment and burnout.MethodsIn this cross-sectional study, we emailed questionnaires to an online community of PCPs in Israel in October 2021. We asked physicians about their satisfaction with their physical work environment, evaluated elements of the work environment, and assessed burnout status (with the Shirom-Melamed Burnout Measure, SMBM). We used the Chi-square and Mann-Witney tests to compare categorical and continuous variables and used logistic regression for the final model.ResultsTwo hundred twenty-one PCPs answered the questionnaire (27.6% response rate). Over a third (35.7%) of respondents reported high burnout. PCPs who were satisfied with their general physical environment had lower burnout rates than those who were unsatisfied (28.1% vs. 47.8%, p-value < 0.001). We found positive correlations between general satisfaction with the physical work environment and the scores achieved for the doctor's office, the clinic, the clinic's building, and the waiting room. In the multivariate analysis, high satisfaction with the general physical work environment was associated with decreased odds for burnout (OR-0.50, 95% CI 0.25-0.99, p-value-0.048).ConclusionThe doctor's office, the clinic, the clinic's building, and the waiting room affected general satisfaction from the physical work environment. High satisfaction with the physical work environment reduced burnout rates. Future studies are needed to determine whether PCPs and managers should invest in the physical work environment to decrease burnout and increase satisfaction.

Project description:ImportancePrimary care physicians (PCPs) spend the most time on the electronic health record (EHR) of any specialty. Thus, it is critical to understand what factors contribute to varying levels of PCP time spent on EHRs.ObjectiveTo characterize variation in EHR time across PCPs and primary care clinics, and to describe how specific PCP, patient panel, clinic, and team collaboration factors are associated with PCPs' time spent on EHRs.Design, setting, and participantsThis cross-sectional study included 307 PCPs practicing across 31 primary care clinics at Massachusetts General Hospital and Brigham and Women's Hospital during 2021. Data were analyzed from October 2022 to October 2023.Main outcomes and measuresTotal per-visit EHR time, total per-visit pajama time (ie, time spent on the EHR between 5:30 pm to 7:00 am and on weekends), and total per-visit time on the electronic inbox as measured by activity log data derived from an EHR database.ResultsThe sample included 307 PCPs (183 [59.6%] female). On a per-visit basis, PCPs spent a median (IQR) of 36.2 (28.9-45.7) total minutes on the EHR, 6.2 (3.1-11.5) minutes of pajama time, and 7.8 (5.5-10.7) minutes on the electronic inbox. When comparing PCP time expenditure by clinic, median (IQR) total EHR time, median (IQR) pajama time, and median (IQR) electronic inbox time ranged from 23.5 (20.7-53.1) to 47.9 (30.6-70.7) minutes per visit, 1.7 (0.7-10.5) to 13.1 (7.7-28.2) minutes per visit, and 4.7 (4.1-5.2) to 10.8 (8.9-15.2) minutes per visit, respectively. In a multivariable model with an outcome of total per-visit EHR time per visit, an above median percentage of teamwork on orders was associated with 3.81 (95% CI, 0.49-7.13) minutes per visit fewer and having a clinic pharmacy technician was associated with 7.87 (95% CI, 2.03-13.72) minutes per visit fewer. Practicing in a community health center was associated with fewer minutes of total EHR time per visit (5.40 [95% CI, 0.06-10.74] minutes).Conclusions and relevanceThere is substantial variation in EHR time among individual PCPs and PCPs within clinics. Organization-level factors, such as team collaboration on orders, support for medication refill functions, and practicing in a community health center, are associated with lower EHR time for PCPs. These findings highlight the importance of addressing EHR burden at a systems level.

Project description:Purpose:Point-of-care ultrasound (POCUS) is a quick bedside tool that has the potential to improve emergency care in resource?-limited settings due to its relatively low cost and accessibility. Effort to disseminate the knowledge and skills about POCUS is inadequate in low and middle income countries like Nepal. We conducted a two-day ?interdisciplinary ?advanced ?emergency ultrasound workshop that targeted physicians working in ?emergency ?department and ?primary care, especially in rural Nepal. We explored the effectiveness of this training based on validated Kirkpatrick's 4 steps of evaluating training outcomes. Materials and Methods:We conducted a prospective quasi-experimental study with mixed research design. Multidisciplinary physicians working in emergency departments participated in the two-day workshop. We assessed and compared the pre- and post-workshop knowledge. We collected on-site and a follow-up feedback to explore pre- and post?-workshop confidence level, perceived usefulness and clinical use of ultrasound using a 5?-point Likert scale. The barriers to use POCUS were explored. Results:A total of 50 physicians from different parts of Nepal participated in the workshop. The academic level of the participants, duration of their clinical experience and the previous use of POCUS did not have a significant difference in their pre- and posttest knowledge scores. The difference between the median (IQR) pre- and posttest scores [14 (12.75-17.75) and 24.5 (22.25-25.5), respectively] was statistically significant (p<0.001). Perceived confidence level and usefulness of the POCUS increased significantly in all of its domains (p<0.001). Self-reported increase in its clinical use was significant (p<0.001) for all fields. Conclusion:The participation in this emergency ultrasound workshop increased the knowledge of participants in POCUS. Their confidence, perceived usefulness and clinical use of POCUS improved significantly. Objective longitudinal follow-up of participants' skill and demonstration of increased clinical use of POCUS in ?emergency ?department influencing the clinical outcome would be the focus of future research.

Project description:ImportanceDespite the increasing involvement of advanced practice practitioners (APPs; ie, nurse practitioners and physician assistants) in care delivery across specialties, the work patterns of APPs compared with physicians and how they are integrated into care teams have not been well characterized.ObjectiveTo characterize differences between physicians and APPs across specialty types related to days with appointments, visit types seen, and time spent using the electronic health record (EHR).Design, setting, and participantsThis nationwide, cross-sectional study used EHR data from physicians and APPs (ie, nurse practitioners and physician assistants) at all US institutions that used Epic Systems' EHR between January and May 2021. Data analysis was performed from March 2022 to April 2023.Main outcomes and measuresAppointment scheduling patterns, percentage of new and established and level of evaluation and management (E/M) visits, and EHR use metrics per day and week.ResultsThe sample consisted of 217 924 clinicians across 389 organizations, including 174 939 physicians and 42 985 APPs. Although primary care physicians were more likely than APPs to have more than 3 days per week with appointments (50 921 physicians [79.5%] vs 17 095 APPs [77.9%]), this trend was reversed for medical (38 645 physicians [64.8%] vs 8124 APPs [74.0%]) and surgical (24 155 physicians [47.1%] vs 5198 APPs [51.7%]) specialties. Medical and surgical specialty physicians saw 6.7 and 7.4 percentage points, respectively, more new patient visits than did their APP counterparts, whereas primary care physicians saw 2.8 percentage points fewer new patient visits than did APPs. Physicians saw a greater percentage of level 4 or 5 visits across all specialties. Medical and surgical physicians spent 34.3 and 45.8 fewer minutes per day, respectively, using the EHR than did APPs in their specialties, whereas primary care physicians spent 17.7 minutes per day more. These differences translated to primary care physicians spending 96.3 minutes more per week using the EHR than APPs, whereas medical and surgical physicians spent 149.9 and 140.7 fewer minutes, respectively, than did their APP counterparts.Conclusions and relevanceThis cross-sectional, national study of clinicians found significant differences in visit and EHR patterns for physicians compared with APPs across specialty types. By underscoring the different current usage of physicians vs APPs across specialty types, this study helps place into context the work and visit patterns of physicians compared with APPs and serves as a foundation for evaluations of clinical outcomes and quality.

Project description:BackgroundDespite a substantial increase in the adoption of electronic medical records (EMRs) in primary health care settings, the use of advanced EMR features is limited. Several studies have identified both barriers and facilitating factors that influence primary care physicians' (PCPs) use of advanced EMR features and the maturation of their EMR use. The purpose of this study is to explore and identify the factors that impact PCPs' mature use of EMRs.MethodsA systematic review was conducted in accordance with the Cochrane Handbook. The MEDLINE, Embase, and PsycINFO electronic databases were searched from 1946 to June 13, 2019. Two independent reviewers screened the studies for eligibility; to be included, studies had to address factors influencing PCPs' mature use of EMRs. A narrative synthesis was conducted to collate study findings and to report on patterns identified across studies. The quality of the studies was also appraised.ResultsOf the 1893 studies identified, 14 were included in this study. Reported factors that influenced PCPs' mature use of EMRs fell into one of the following 5 categories: technology, people, organization, resources, and policy. Concerns about the EMR system's functionality, lack of physician awareness of EMR functionality, limited physician availability to learn more about EMRs, the habitual use of successfully completing clinical tasks using only basic EMR features, business-oriented organizational objectives, lack of vendor training, limited resource availability, and lack of physician readiness were reported as barriers to PCPs' mature use of EMRs. The motivation of physicians, user satisfaction, coaching and peer mentoring, EMR experience, gender, physician perception, transition planning for changes in roles and work processes, team-based care, adequate technical support and training, sharing resources, practices affiliated with an integrated delivery system, financial incentives, and policies to increase EMR use all had a favorable impact on PCPs' use of advanced EMR features.ConclusionsBy using a narrative synthesis to synthesize the evidence, we identified interrelated factors influencing the mature use of EMRs by PCPs. The findings underline the need to provide adequate training and policies that facilitate the mature use of EMRs by PCPs.Trial registrationPROSPERO CRD42019137526.

Project description:BackgroundSince 2000, Israel has had a national program for ongoing monitoring of the quality of the primary care services provided by the country's four competing non-profit health plans. Previous research has demonstrated that quality of care has improved substantially since the program's inception and that the program enjoys wide support among health plan managers. However, prior to this study there were anecdotal and journalistic reports of opposition to the program among primary care physicians engaged in direct service delivery; these raised serious questions about the extent of support among physicians nationally.GoalsTo assess how Israeli primary care physicians experience and rate health plan efforts to track and improve the quality of care.MethodThe study population consisted of primary care physicians employed by the health plans who have responsibility for the quality of care of a panel of adult patients. The study team randomly sampled 250 primary-care physicians from each of the four health plans. Of the 1,000 physicians sampled, 884 met the study criteria. Every physician could choose whether to participate in the survey by mail, e-mail, or telephone. The anonymous questionnaire was completed by 605 physicians - 69% of those eligible. The data were weighted to reflect differences in sampling and response rates across health plans.Main findingsThe vast majority of respondents (87%) felt that the monitoring of quality was important and two-thirds (66%) felt that the feedback and subsequent remedial interventions improved medical care to a great extent. Almost three-quarters (71%) supported continuation of the program in an unqualified manner. The physicians with the most positive attitudes to the program were over age 44, independent contract physicians, and either board-certified in internal medicine or without any board-certification (i.e., residents or general practitioners). At the same time, support for the program was widespread even among physicians who are young, board-certified in family medicine, and salaried.Many physicians also reported that various problems had emerged to a great or very great extent: a heavier workload (65%), over-competitiveness (60%), excessive managerial pressure (48%), and distraction from other clinical issues (35%). In addition, there was some criticism of the quality of the measures themselves. Respondents also identified approaches to addressing these problems.ConclusionsThe findings provide perspective on the anecdotal reports of physician opposition to the monitoring program; they may well accurately reflect the views of the small number of physicians directly involved, but they do not reflect the views of primary care physicians as a whole, who are generally quite supportive of the program. At the same time, the study confirms the existence of several perceived problems. Some of these problems, such as excess managerial pressure, can probably best be addressed by the health plans themselves; while others, such as the need to refine the quality indicators, are probably best addressed at the national level. Cooperation between primary care physicians and health plan managers, which has been an essential component of the program's success thus far, can also play an important role in addressing the problems identified.

Dataset Information

Evaluation of Attention Switching and Duration of Electronic Inbox Work Among Primary Care Physicians.

Importance

Objectives

Design, setting, and participants

Main outcomes and measures

Results

Conclusions and relevance

Publications

Evaluation of Attention Switching and Duration of Electronic Inbox Work Among Primary Care Physicians.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets