scholarly journals Factors Associated With Electronic Health Record Usage Among Primary Care Physicians After Hours: Retrospective Cohort Study (Preprint)

2019 ◽  
Author(s):  
Selasi Attipoe ◽  
Yungui Huang ◽  
Sharon Schweikhart ◽  
Steve Rust ◽  
Jeffrey Hoffman ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Primary Care Physicians ◽  
Care Physician ◽  
Published Data ◽  
Health Records ◽  
Dominant Source ◽  
Factors Associated ◽  
After Hours ◽  
Electronic Health

BACKGROUND There is limited published data on variation in physician usage of electronic health records (EHRs), particularly after hours. Research in this area could provide insight into the effects of EHR-related workload on physicians. OBJECTIVE This study sought to examine factors associated with after-hours EHR usage among primary care physicians. METHODS Electronic health records usage information was collected from primary care pediatricians in a large United States hospital. Inclusion criteria consisted solely of being a primary care physician who started employment with the hospital before the study period, so all eligible primary care physicians were included without sampling. Mixed effects statistical modeling was used to investigate the effects of age, gender, workload, normal-hour usage, week to week variation, and provider-to-provider variation on the after-hour usage of EHRs. RESULTS There were a total of 3498 weekly records obtained on 50 physicians, of whom 22% were male and 78% were female. Overall, more EHR usage during normal work hours was associated with decreased usage after hours. The more work relative value units generated by physicians, the more time they spent interacting with EHRs after hours (β=.04, <italic>P</italic>&lt;.001) and overall (ie, during normal hours and after hours) (β=.24, <italic>P</italic>&lt;.001). Gender was associated with total usage time, with females spending more time than males (<italic>P</italic>=.03). However, this association was not observed with after-hours EHR usage. provider-to-provider variation was the largest and most dominant source of variation in after-hour EHR usage, which accounted for 52% of variance of total EHR usage. CONCLUSION The present study found that there is a considerable amount of variability in EHR use among primary care physicians, which suggested that many factors influence after-hours EHR usage by physicians. However, provider-to-provider variation was the largest and most dominant source of variation in after-hours EHR usage. While the results are intuitive, future studies should consider the effect of EHR use variations on workload efficiency.

scholarly journals Factors Associated With Electronic Health Record Usage Among Primary Care Physicians After Hours: Retrospective Cohort Study

10.2196/13779 ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. e13779 ◽  
Author(s):  
Selasi Attipoe ◽  
Yungui Huang ◽  
Sharon Schweikhart ◽  
Steve Rust ◽  
Jeffrey Hoffman ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Primary Care Physicians ◽  
Care Physician ◽  
Published Data ◽  
Health Records ◽  
Dominant Source ◽  
Factors Associated ◽  
After Hours ◽  
Electronic Health

Background There is limited published data on variation in physician usage of electronic health records (EHRs), particularly after hours. Research in this area could provide insight into the effects of EHR-related workload on physicians. Objective This study sought to examine factors associated with after-hours EHR usage among primary care physicians. Methods Electronic health records usage information was collected from primary care pediatricians in a large United States hospital. Inclusion criteria consisted solely of being a primary care physician who started employment with the hospital before the study period, so all eligible primary care physicians were included without sampling. Mixed effects statistical modeling was used to investigate the effects of age, gender, workload, normal-hour usage, week to week variation, and provider-to-provider variation on the after-hour usage of EHRs. Results There were a total of 3498 weekly records obtained on 50 physicians, of whom 22% were male and 78% were female. Overall, more EHR usage during normal work hours was associated with decreased usage after hours. The more work relative value units generated by physicians, the more time they spent interacting with EHRs after hours (β=.04, P<.001) and overall (ie, during normal hours and after hours) (β=.24, P<.001). Gender was associated with total usage time, with females spending more time than males (P=.03). However, this association was not observed with after-hours EHR usage. provider-to-provider variation was the largest and most dominant source of variation in after-hour EHR usage, which accounted for 52% of variance of total EHR usage. Conclusion The present study found that there is a considerable amount of variability in EHR use among primary care physicians, which suggested that many factors influence after-hours EHR usage by physicians. However, provider-to-provider variation was the largest and most dominant source of variation in after-hours EHR usage. While the results are intuitive, future studies should consider the effect of EHR use variations on workload efficiency.

scholarly journals Satisfaction with electronic health records is associated with job satisfaction among primary care physicians

2013 ◽  
Vol 21 (1) ◽  
pp. 18 ◽  
Author(s):  
Christine D Jones ◽  
George M Holmes ◽  
Sarah E Lewis ◽  
Kristie W Thompson ◽  
Samuel Cykert ◽  
...  
Keyword(s):  
Primary Care ◽  
Job Satisfaction ◽  
Electronic Health Records ◽  
Primary Care Physicians ◽  
Health Records ◽  
Electronic Health

scholarly journals Electronic Health Records’ Support for Primary Care Physicians’ Situation Awareness: A Metanarrative Review

2021 ◽  
pp. 001872082110143
Author(s):  
April Savoy ◽  
Himalaya Patel ◽  
Daniel R. Murphy ◽  
Ashley N. D. Meyer ◽  
Jennifer Herout ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Electronic Health Records ◽  
Situation Awareness ◽  
Primary Care Physicians ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Health Records ◽  
Care Plans ◽  
Electronic Health

Objective Situation awareness (SA) refers to people’s perception and understanding of their dynamic environment. In primary care, reduced SA among physicians increases errors in clinical decision-making and, correspondingly, patients’ risk of experiencing adverse outcomes. Our objective was to understand the extent to which electronic health records (EHRs) support primary care physicians (PCPs)’ SA during clinical decision-making. Method We conducted a metanarrative review of papers in selected academic databases, including CINAHL and MEDLINE. Eligible studies included original peer-reviewed research published between January 2012 and August 2020 on PCP–EHR interactions. We iteratively queried, screened, and summarized literature focused on EHRs supporting PCPs’ clinical decision-making and care management for adults. Then, we mapped findings to an established SA framework to classify external factors (individual, task, and system) affecting PCPs’ levels of SA (1–Perception, 2–Comprehension, and 3–Projection) and identified SA barriers. Results From 1504 articles identified, we included and synthesized 19 studies. Study designs were largely noninterventional. Studies described EHR workflow misalignments, usability issues, and communication challenges. EHR information, including lab results and care plans, was characterized as incomplete, untimely, or irrelevant. Unmet information needs made it difficult for PCPs to obtain even basic SA, Level 1 SA. Prevalent barriers to PCPs developing SA with EHRs were errant mental models, attentional tunneling, and data overload. Conclusion Based on our review, EHRs do not support the development of higher levels of SA among PCPs. Review findings suggest SA-oriented design processes for health information technology could improve PCPs’ SA, satisfaction, and decision-making.

scholarly journals Overcoming Barriers to Implementing Electronic Health Records in Rural Primary Care Clinics

2017 ◽  
Author(s):  
Patricia Mason ◽  
Roger Mayer ◽  
Wen-Wen Chien ◽  
Judith Monestime
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Change Management ◽  
Complex Adaptive Systems ◽  
Information Exchange ◽  
Primary Care Physicians ◽  
Physician Assistants ◽  
Health Records ◽  
Rural Primary Care ◽  
Electronic Health

Medicare-eligible physicians at primary care practices (PCP) that did not implement an electronic health record (EHR) system by the end of 2015 face stiff penalties. One year prior to the 2015 deadline, approximately half of all primary clinics have not implemented a basic EHR system. The purpose of this phenomenology study was to explore rural primary care physicians and physician assistants’ experiences regarding overcoming barriers to implementing EHRs. Complex adaptive systems formed the conceptual framework for this study. Data were collected through face-to-face interviews with a purposeful sample of 21 physicians and physician assistants across 2 rural PCPs in the southeastern region of Missouri. Participant perceptions were elicited regarding overcoming barriers to implementing EHRs systems as manadated by federal legislation. Interview questions were transcribed and processed through qualitative software to discern themes of how rural PCP physicians and physician assistants might overcome barriers to implementing electronic health records. Through the exploration of the narrative segments, 4 emergent themes were common among the participants including (a) limited finances to support EHRs, (b) health information exchange issues, (c) lack of business education, and (d) lack of change management at rural medical practices. This study may provide rural primary care physicians and administrators with strategies to promote the adoption of EHRs, provide cost efficient business services, and improve change management plans.

Preliminary results from the COPE study using primary-care electronic health records and environmental modelling to examine COPD exacerbations

2018 ◽  
Vol 68 (suppl 1) ◽  
pp. bjgp18X696749 ◽  
Author(s):  
Maimoona Hashmi ◽  
Mark Wright ◽  
Kirin Sultana ◽  
Benjamin Barratt ◽  
Lia Chatzidiakou ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Health Management ◽  
Practice Research ◽  
Chronic Obstructive ◽  
Clinical Practice Research Datalink ◽  
Health Records ◽  
Preliminary Results ◽  
Copd Exacerbations ◽  
Electronic Health

BackgroundChronic Obstructive Airway Disease (COPD) is marked by often severely debilitating exacerbations. Efficient patient-centric research approaches are needed to better inform health management primary-care.AimThe ‘COPE study’ aims to develop a method of predicting COPD exacerbations utilising personal air quality sensors, environmental exposure modelling and electronic health records through the recruitment of patients from consenting GPs contributing to the Clinical Practice Research Datalink (CPRD).MethodThe study made use of Electronic Healthcare Records (EHR) from CPRD, an anonymised GP records database to screen and locate patients within GP practices in Central London. Personal air monitors were used to capture data on individual activities and environmental exposures. Output from the monitors were then linked with the EHR data to obtain information on COPD management, severity, comorbidities and exacerbations. Symptom changes not equating to full exacerbations were captured on diary cards. Linear regression was used to investigate the relationship between subject peak flow, symptoms, exacerbation events and exposure data.ResultsPreliminary results on the first 80 patients who have completed the study indicate variable susceptibility to environmental stressors in COPD patients. Some individuals appear highly susceptible to environmental stress and others appear to have unrelated triggers.ConclusionRecruiting patients through EHR for a study is feasible and allows easy collection of data for long term follow up. Portable environmental sensors could now be used to develop personalised models to predict risk of COPD exacerbations in susceptible individuals. Identification of direct links between participant health and activities would allow improved health management thus cost savings.

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