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Levy DR, Rossetti SC, Brandt CA, Melnick ER, Hamilton A, Rinne ST, Womack D, Mohan V. Interventions to Mitigate EHR and Documentation Burden in Health Professions Trainees: A Scoping Review. Appl Clin Inform 2025; 16:111-127. [PMID: 39366661 PMCID: PMC11798655 DOI: 10.1055/a-2434-5177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 09/30/2024] [Indexed: 10/06/2024] Open
Abstract
BACKGROUND Health professions trainees (trainees) are unique as they learn a chosen field while working within electronic health records (EHRs). Efforts to mitigate EHR burden have been described for the experienced health professional (HP), but less is understood for trainees. EHR or documentation burden (EHR burden) affects trainees, although not all trainees use EHRs, and use may differ for experienced HPs. OBJECTIVES This study aimed to develop a model of how interventions to mitigate EHR burden fit within the trainee EHR workflow: the Trainee EHR Burden Model. (We: 1) Examined trainee experiences of interventions aimed at mitigating EHR burden (scoping review) and (2) Adapted an existing workflow model by mapping included studies (concept clarification). METHODS We conducted a four-database scoping review applying Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extensions for Scoping Review (PRISMA-ScR) guidance, examining scholarly, peer-reviewed studies that measured trainee experience of interventions to mitigate EHR burden. We conducted a concept clarification categorizing, then mapping studies to workflow model elements. We adapted the model to intervenable points for trainee EHR burden. RESULTS We identified 11 studies examining interventions to mitigate EHR burden that measured trainee experience. Interventions included curriculum, training, and coaching on the existing EHR for both simulated or live tasks; evaluating scribes' impact; adding devices or technology tailored to rounds; and team communication or data presentation at end-of-shift handoffs. Interventions had varying effects on EHR burden, most commonly measured through surveys, and less commonly, direct observation. Most studies had limited sample sizes and focused on inpatient settings and physician trainees. CONCLUSION Few studies measured trainee perspectives of interventions aiming to mitigate EHR burden. Many studies applied quasi-experimental designs and focused on inpatient settings. The Trainee EHR Burden Model, adapted from an existing workflow model, offers a starting place to situate points of intervention in trainee workflow. Further research is needed to design new interventions targeting stages of HP trainee workflow, in a range of clinical settings.
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Affiliation(s)
- Deborah R. Levy
- Department of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Sciences University, Portland, Oregon, United States
- Department of Veterans Affairs, Pain Research Informatics Multimorbidities and Education (PRIME) Center, VA-CT, West Haven, Connecticut, United States
- Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Sarah C. Rossetti
- Department of Biomedical Informatics, Columbia University New York, New York, United States
- Columbia University School of Nursing, New York, New York, United States
| | - Cynthia A. Brandt
- Department of Veterans Affairs, Pain Research Informatics Multimorbidities and Education (PRIME) Center, VA-CT, West Haven, Connecticut, United States
- Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Edward R. Melnick
- Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, Connecticut, United States
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, United States
- Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, United States
| | - Andrew Hamilton
- Oregon Health and Sciences University (OHSU), OHSU Library, Portland, Oregon, United States
| | - Seppo T. Rinne
- VA Bedford Healthcare System, Center for Healthcare Organization and Implementation Research, Bedford, Massachusetts, United States
- Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States
| | - Dana Womack
- Department of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Sciences University, Portland, Oregon, United States
| | - Vishnu Mohan
- Department of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Sciences University, Portland, Oregon, United States
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Tripathi PP, Kumawat V. Blood safety training: Can virtual training replace in-person training? THE NATIONAL MEDICAL JOURNAL OF INDIA 2024; 37:322-324. [PMID: 40257162 DOI: 10.25259/nmji_142_2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/22/2025]
Abstract
Background Healthcare professionals require continuous professional development and training to improve their knowledge and skills to prevent or minimize errors in blood transfusion. The novel Coronavirus-19 (Covid-19) pandemic affected face-to-face medical education and resulted in a shift from traditional education methods to online or virtual methods. We analysed the effect of virtual blood safety training on participant's knowledge and perception. Methods A prospective analysis of pre-test and post-test responses to a 25-item multiple choice questionnaire and feedback received for the training programme were analysed. The training feedback was obtained using a Google form link. Results The mean pre-test score of 131 analyzed participants was 16.02, which increased to 18.06 after the training. The difference was not statistically significant. The mean pre-test and post-test scores for doctors (n=45) were 17.91 and 19.33, respectively which was statistically significant. There was no statistically significant difference between the mean pre-test (15.03) and post-test (17.39) scores of technical staff (n=86). The majority (54%) preferred in-person physical training during feedback. Conclusion Virtual training can be conducted as a temporary measure. We did not find a difference in participants' knowledge except for doctors. The majority of participants preferred in-person training.
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Affiliation(s)
- Parmatma Prasad Tripathi
- Department of Transfusion Medicine and Haematology, National Institute of Mental Health and Neurosciences (NIMHANS), Transfusion Medicine Centre, Bengaluru, Karnataka, India
| | - Vijay Kumawat
- Department of Transfusion Medicine and Haematology, National Institute of Mental Health and Neurosciences (NIMHANS), Transfusion Medicine Centre, Bengaluru, Karnataka, India
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Robertson ST, Rosbergen ICM, Brauer SG, Grimley RS, Burton-Jones A. Addressing complexity when developing an education program for the implementation of a stroke Electronic Medical Record (EMR) enhancement. BMC Health Serv Res 2023; 23:1301. [PMID: 38001487 PMCID: PMC10675965 DOI: 10.1186/s12913-023-10314-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Digital interventions in health services often fail due to an underappreciation of the complexity of the implementation. This study develops an approach to address complexity through an evidenced-based, theory-driven education and implementation program for an Electronic Medical Record (EMR) digital enhancement for acute stroke care. METHODS An action research approach was used to design, develop, and execute the education and implementation program over several phases, with iterative changes over time. The study involved collaboration with multiple statewide and local key stakeholders and was conducted across two tertiary teaching hospitals and a regional hospital in Australia. RESULTS Insights were gained over five phases. Phase 1 involved a review of evidence that supported blended learning strategies for the education and training of staff end-users. In Phase 2, contextual assessment was conducted via observation of study sites, providing awareness of local context variability and insight into key implementation considerations. The Non-adoption, Abandonment, Scale-Up, Spread and Sustainability (NASSS) framework assisted in Phase 3 to identify and manage the key domains of complexity. Phase 4 involved the design of the program which included group-based training and an e-learning package, endorsed and evaluated by key leaders. Throughout implementation in Phase 5, further barriers were identified, and iterative changes were tailored to each context. CONCLUSIONS The NASSS framework, combined with a multi-phased approach employing blended learning techniques, context evaluations, and iterative modifications, can serve as a model for generating theory-driven and evidence-based education strategies that adresss the complexity of the implementation process and context.
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Affiliation(s)
- Samantha T Robertson
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia.
- Sunshine Coast University Hospital, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia.
- Digital Health CRC, Sydney, NSW, Australia.
| | - Ingrid C M Rosbergen
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
- Department of Physical Therapy & Faculty of Health, University of Applied Sciences Leiden, Leiden, The Netherlands
| | - Sandra G Brauer
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Rohan S Grimley
- Sunshine Coast University Hospital, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia
- School of Medicine and Dentistry, Griffith University, Birtinya, Australia
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Patel A, Mummaneni PV, Zheng J, Rosner BI, Thombley R, Sorour O, Theodosopoulos PV, Aghi MK, Berger MS, Chang EF, Chou D, Manley GT, DiGiorgio AM. On-Call Junior Neurosurgery Residents Spend 9 hours of Their On-Call Shift Actively Using the Electronic Health Record. Neurosurgery 2023; 92:870-875. [PMID: 36729755 DOI: 10.1227/neu.0000000000002288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 10/03/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The electronic health record (EHR) is central to clinical workflow, yet few studies to date have explored EHR usage patterns among neurosurgery trainees. OBJECTIVE To describe the amount of EHR time spent by postgraduate year (PGY)-2 and PGY-3 neurosurgery residents during on-call days and the distribution of EHR activities in which they engage. METHODS This cohort study used the EHR audit logs, time-stamped records of user activities, to review EHR usage of PGY-2 and PGY-3 neurosurgery residents scheduled for 1 or more on-call days across 2 calendar years at the University of California San Francisco. We focused on the PGY-2 and PGY-3, which, in our training program, represent the primary participants in the in-house on-call pool. RESULTS Over 723 call days, 12 different residents took at least one on-call shift. The median (IQR) number of minutes that residents spent per on-call shift actively using the EHR was 536.8 (203.5), while interacting with an average (SD) of 68.1 (14.7) patient charts. There was no significant difference between Active EHR Time between residents as PGY-2 and PGY-3 on paired t -tests. Residents spent the most time on the following EHR activities: patient reports, notes, order management, patient list, and chart review. CONCLUSION Residents spent, on average, 9 hours of their on-call shift actively using the EHR, and there was no improved efficiency as residents gained experience. We noted several areas of administrative EHR burden, which could be reduced.
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Affiliation(s)
- Arati Patel
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Jeff Zheng
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Benjamin I Rosner
- Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, California, USA
- Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
| | - Robert Thombley
- Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, California, USA
- Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
| | - Omar Sorour
- University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Philip V Theodosopoulos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Dean Chou
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
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Nuamah JK, Adapa K, Mazur LM. State of the evidence on simulation-based electronic health records training: A scoping review. Health Informatics J 2022; 28:14604582221113439. [PMID: 35852472 DOI: 10.1177/14604582221113439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This study synthesized the available evidence of simulation-based electronic health records (EHRs) training in educational and clinical environments for healthcare providers in the literature. The Arksey and O'Malley methodological framework was employed. A systematic search was carried out in relevant databases from inception to January 2020, identifying 24 studies for inclusion. Three themes emerged: (a) role of simulation-based EHR training in evaluating improvement interventions, (b) debriefing and feedback methods used, and (c) challenges of evaluating simulation-based EHR training. The majority of the studies aimed to emphasize the practical skills of individual medical trainees and employed post-simulation feedback as the feedback method. Future research should focus on (a) using simulation-based EHR training to achieve specific learning goals, (b) investigating aspects of clinical performance that are susceptible to skill decay, and (c) examining the influence of simulation-based EHR training on team dynamics.
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Affiliation(s)
- Joseph K Nuamah
- School of Industrial Engineering and Management, 33086Oklahoma State University, Stillwater, OK, USA
| | - Karthik Adapa
- Division of Healthcare Engineering, Department of Radiation Oncology, 2332University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; School of Information and Library Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lukasz M Mazur
- Division of Healthcare Engineering, Department of Radiation Oncology, 2332University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; School of Information and Library Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Pinevich Y, Clark KJ, Harrison AM, Pickering BW, Herasevich V. Interaction Time with Electronic Health Records: A Systematic Review. Appl Clin Inform 2021; 12:788-799. [PMID: 34433218 DOI: 10.1055/s-0041-1733909] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
BACKGROUND The amount of time that health care clinicians (physicians and nurses) spend interacting with the electronic health record is not well understood. OBJECTIVE This study aimed to evaluate the time that health care providers spend interacting with electronic health records (EHR). METHODS Data are retrieved from Ovid MEDLINE(R) and Epub Ahead of Print, In-Process and Other Non-Indexed Citations and Daily, (Ovid) Embase, CINAHL, and SCOPUS. STUDY ELIGIBILITY CRITERIA Peer-reviewed studies that describe the use of EHR and include measurement of time either in hours, minutes, or in the percentage of a clinician's workday. Papers were written in English and published between 1990 and 2021. PARTICIPANTS All physicians and nurses involved in inpatient and outpatient settings. STUDY APPRAISAL AND SYNTHESIS METHODS A narrative synthesis of the results, providing summaries of interaction time with EHR. The studies were rated according to Quality Assessment Tool for Studies with Diverse Designs. RESULTS Out of 5,133 de-duplicated references identified through database searching, 18 met inclusion criteria. Most were time-motion studies (50%) that followed by logged-based analysis (44%). Most were conducted in the United States (94%) and examined a clinician workflow in the inpatient settings (83%). The average time was nearly 37% of time of their workday by physicians in both inpatient and outpatient settings and 22% of the workday by nurses in inpatient settings. The studies showed methodological heterogeneity. CONCLUSION This systematic review evaluates the time that health care providers spend interacting with EHR. Interaction time with EHR varies depending on clinicians' roles and clinical settings, computer systems, and users' experience. The average time spent by physicians on EHR exceeded one-third of their workday. The finding is a possible indicator that the EHR has room for usability, functionality improvement, and workflow optimization.
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Affiliation(s)
- Yuliya Pinevich
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States
| | - Kathryn J Clark
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States
| | - Andrew M Harrison
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, United States
| | - Brian W Pickering
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States
| | - Vitaly Herasevich
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, United States
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Samadbeik M, Fatehi F, Braunstein M, Barry B, Saremian M, Kalhor F, Edirippulige S. Education and Training on Electronic Medical Records (EMRs) for health care professionals and students: A Scoping Review. Int J Med Inform 2020; 142:104238. [PMID: 32828034 DOI: 10.1016/j.ijmedinf.2020.104238] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 07/01/2020] [Accepted: 07/23/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND OBJECTIVES The ability of health care providers and students to use EMRs efficiently can lead to achieving improved clinical outcomes. Training policies and strategies play a major role in successful technology implementation and ongoing use of the EMR systems. To provide evidence-based guidance for developing and implementing educational interventions and training, we reviewed and summarized the current literature on EMR training targeting both healthcare professionals (HCP) and students. METHODS We used the Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA extension of scoping reviews (PRISMA-ScR) checklist for reporting our review. 46 full-text articles that met the eligibility criteria were selected for the review. Narrative synthesis was performed to summarize the evidence using numerical and descriptive analysis. We used inductive content analysis for categorizing the training methods. Also, the modified version of the Kirkpatrick's levels model was used for abstracting the training outcome. RESULTS Five types of training methods were identified: one-on-one training, peer-coach training, classroom training (CRT), computer-based training (CBT), and blended training. A variety of CBT platforms were used, including a prototype academic electronic medical record system (AEMR), AEMR/simulated EMR (Sim-EMR), mobile based AEMR, eLearning, and electronic educational materials. Each training intervention could have resulted in several outcomes. Most outcomes were related to levels 1-3 of the Kirkpatrick model that involves learners (n = 108), followed by level 4a that involves organizations (n = 7), and lastly level 4b that involves patients (n = 1). The outcomes related to participants' knowledge (level 2b) was the most often measured training outcome (n = 44). CONCLUSIONS This review presents a comprehensive synthesis of the evidence on EMR training. A variety of training methods, participants, locations, strategies, and outcomes were described in the studies. Training should be aligned with the particular training needs, training objectives, EMR system utilized, and organizational environment. A training plan should include an overall goal and SMART (Specific, Measurable, Achievable, Realistic, Tangible) training objectives, that would allow a more rigorous evaluation of the training outcomes.
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Affiliation(s)
- Mahnaz Samadbeik
- Centre for Online Health, The University of Queensland, Brisbane, Australia; Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Farhad Fatehi
- Centre for Online Health, The University of Queensland, Brisbane, Australia; School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mark Braunstein
- School of Interactive Computing, Georgia Tech, Atlanta, United States of America; The Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research, Australia.
| | - Ben Barry
- Faculty of Medicine, The University of Queensland, Australia.
| | - Marzieh Saremian
- Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Fatemeh Kalhor
- Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Sisira Edirippulige
- Centre for Online Health, The University of Queensland, Brisbane, Australia.
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Vavasseur A, Muscari F, Meyrignac O, Nodot M, Dedouit F, Revel-Mouroz P, Dercle L, Rozenblum L, Wang L, Maulat C, Rousseau H, Otal P, Dercle L, Mokrane FZ. Blended learning of radiology improves medical students' performance, satisfaction, and engagement. Insights Imaging 2020; 11:61. [PMID: 32347421 PMCID: PMC7188751 DOI: 10.1186/s13244-020-00865-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 03/31/2020] [Indexed: 11/10/2022] Open
Abstract
Purpose To evaluate the impact of blended learning using a combination of educational resources (flipped classroom and short videos) on medical students’ (MSs) for radiology learning. Material and methods A cohort of 353 MSs from 2015 to 2018 was prospectively evaluated. MSs were assigned to four groups (high, high-intermediate, low-intermediate, and low achievers) based on their results to a 20-MCQs performance evaluation referred to as the pretest. MSs had then free access to a self-paced course totalizing 61 videos based on abdominal imaging over a period of 3 months. Performance was evaluated using the change between posttest (the same 20 MCQs as pretest) and pretest results. Satisfaction was measured using a satisfaction survey with directed and spontaneous feedbacks. Engagement was graded according to audience retention and attendance on a web content management system. Results Performance change between pre and posttest was significantly different between the four categories (ANOVA, P = 10−9): low pretest achievers demonstrated the highest improvement (mean ± SD, + 11.3 ± 22.8 points) while high pretest achievers showed a decrease in their posttest score (mean ± SD, − 3.6 ± 19 points). Directed feedback collected from 73.3% of participants showed a 99% of overall satisfaction. Spontaneous feedback showed that the concept of “pleasure in learning” was the most cited advantage, followed by “flexibility.” Engagement increased over years and the number of views increased of 2.47-fold in 2 years. Conclusion Learning formats including new pedagogical concepts as blended learning, and current technologies allow improvement in medical student’s performance, satisfaction, and engagement.
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Affiliation(s)
- Adrien Vavasseur
- Service de Radiologie, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France
| | - Fabrice Muscari
- Service de Chirurgie digestive, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France
| | - Olivier Meyrignac
- Service de Radiologie, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France
| | - Matthieu Nodot
- Ingénieur en pédagogie, service d'appui pédagogique, Université Toulouse III-Paul Sabatier, Route de Narbonne, 31300, Toulouse, France
| | - Fabrice Dedouit
- Service de Radiologie, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France.,Service de médecine légale, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9,, France
| | - Paul Revel-Mouroz
- Service de Radiologie, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France
| | - Louis Dercle
- Faculté de pharmacie de Châtenay-Malabry, 5 Rue Jean-Baptiste Clément, 92290, Châtenay-Malabry, France
| | - Laura Rozenblum
- Sorbonne Université, Service de Médecine Nucléaire, AP-HP, Hôpital La Pitié-Salpêtrière, 75013, Paris, France
| | - Lucy Wang
- Columbia University, 116th St & Broadway, New York, NY, 10027, USA
| | - Charlotte Maulat
- Service de Chirurgie digestive, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France
| | - Hervé Rousseau
- Service de Radiologie, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France
| | - Philippe Otal
- Service de Radiologie, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France
| | - Laurent Dercle
- Sorbonne Université, Service de Médecine Nucléaire, AP-HP, Hôpital La Pitié-Salpêtrière, 75013, Paris, France.,New York Presbyterian Hospital, Columbia University, New York City, NY, USA.,Gustave Roussy Institute, UMR1015, Université Paris-Saclay, F-94805, Villejuif, France
| | - Fatima-Zohra Mokrane
- Service de Radiologie, CHU Toulouse-Rangueil, 1 avenue du Professeur Jean Poulhès, TSA 50032, 31059, Toulouse, Cedex 9, France. .,Columbia University, 116th St & Broadway, New York, NY, 10027, USA. .,New York Presbyterian Hospital, Columbia University, New York City, NY, USA.
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Randhawa GK, Shachak A, Courtney KL, Kushniruk A. Evaluating a post-implementation electronic medical record training intervention for diabetes management in primary care. BMJ Health Care Inform 2019; 26:e100086. [PMID: 31570365 PMCID: PMC7062349 DOI: 10.1136/bmjhci-2019-100086] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 09/05/2019] [Accepted: 09/10/2019] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE This study evaluated the potential for electronic medical record (EMR) video tutorials to improve diabetes (type 1 and 2) care processes by primary care physicians (PCP) using OSCAR EMR. DESIGN A QUAN(qual) mixed methods approach with an embedded design was used for the overall research study. EMR video tutorials were developed based on the chronic care model (CCM), value-adding EMR use, best practice guidelines for designing software video tutorials and clinician-led EMR training. RESULTS In total, 18 PCPs from British Columbia, Canada, participated in the study. The video EMR intervention elicited a statistically significant increase in EMR advanced feature use for diabetes care, with a large effect size (ie, F(1,51)=6.808, p<0.001, partial η2=0.286). CONCLUSION This small-scale efficacy study demonstrates the potential of CCM-based EMR video tutorials to improve EMR use for chronic diseases, such as diabetes. A larger-scale effectiveness study with a control group is needed to further validate the study findings and determine their generalisability. The demonstrated efficacy of the intervention suggests that EMR video tutorials may be a cost-effective, sustainable and scalable strategy for supporting EMR optimisation and the continuous learning and development of PCPs. Health informatics practitioners may develop video tutorials for their respective EMR/electronic health record software based on theory and best practices for video tutorial design. For patients, EMR video tutorials may lead to improved tracking of processes of care for diabetes, and potentially other chronic conditions.
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Affiliation(s)
- Gurprit Kaur Randhawa
- Learning and Performance Support, Island Health, Victoria, British Columbia, Canada
- Health Information Science, University of Victoria, Victoria, British Columbia, Canada
| | - Aviv Shachak
- Health Information Science, University of Victoria, Victoria, British Columbia, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Karen L Courtney
- Health Information Science, University of Victoria, Victoria, British Columbia, Canada
| | - Andre Kushniruk
- Health Information Science, University of Victoria, Victoria, British Columbia, Canada
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