The burden of the digital environment: a systematic review on organization-directed workplace interventions to mitigate physician burnout

Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis

BACKGROUND

Burnout among health care professionals is a significant concern, with detrimental effects on health care service quality and patient outcomes. The use of the electronic health record (EHR) system has been identified as a significant contributor to burnout among health care professionals.

OBJECTIVE

This systematic review and meta-analysis aims to assess the prevalence of burnout among health care professionals associated with the use of the EHR system, thereby providing evidence to improve health information systems and develop strategies to measure and mitigate burnout.

METHODS

We conducted a comprehensive search of the PubMed, Embase, and Web of Science databases for English-language peer-reviewed articles published between January 1, 2009, and December 31, 2022. Two independent reviewers applied inclusion and exclusion criteria, and study quality was assessed using the Joanna Briggs Institute checklist and the Newcastle-Ottawa Scale. Meta-analyses were performed using R (version 4.1.3; R Foundation for Statistical Computing), with EndNote X7 (Clarivate) for reference management.

RESULTS

The review included 32 cross-sectional studies and 5 case-control studies with a total of 66,556 participants, mainly physicians and registered nurses. The pooled prevalence of burnout among health care professionals in cross-sectional studies was 40.4% (95% CI 37.5%-43.2%). Case-control studies indicated a higher likelihood of burnout among health care professionals who spent more time on EHR-related tasks outside work (odds ratio 2.43, 95% CI 2.31-2.57).

CONCLUSIONS

The findings highlight the association between the increased use of the EHR system and burnout among health care professionals. Potential solutions include optimizing EHR systems, implementing automated dictation or note-taking, employing scribes to reduce documentation burden, and leveraging artificial intelligence to enhance EHR system efficiency and reduce the risk of burnout.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42021281173; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173.

Charting Tomorrow's Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future

Electronic health record (EHR) systems have developed over time in parallel with general advancements in mainstream technology. As artificially intelligent (AI) systems rapidly impact multiple societal sectors, it has become apparent that medicine is not immune from the influences of this powerful technology. Particularly appealing is how AI may aid in improving healthcare efficiency with note-writing automation. This literature review explores the current state of EHR technologies in healthcare, specifically focusing on possibilities for addressing EHR challenges through the automation of dictation and note-writing processes with AI integration. This review offers a broad understanding of existing capabilities and potential advancements, emphasizing innovations such as voice-to-text dictation, wearable devices, and AI-assisted procedure note dictation. The primary objective is to provide researchers with valuable insights, enabling them to generate new technologies and advancements within the healthcare landscape. By exploring the benefits, challenges, and future of AI integration, this review encourages the development of innovative solutions, with the goal of enhancing patient care and healthcare delivery efficiency.

Nurse and Physician Perceptions and Decision Making During Interdisciplinary Communication: Factors That Influence Communication Channel Selection

Errors in decision making and communication play a key role in poor patient outcomes. Safe patient care requires effective decision making during interdisciplinary communication through communication channels. Research on factors that influence nurse and physician decision making during interdisciplinary communication is limited. Understanding influences on nurse and physician decision making during communication channel selection is needed to support effective communication and improved patient outcomes. The purpose of the study was to explore nurse and physician perceptions of and decision-making processes for selecting interruptive or noninterruptive interdisciplinary communication channels in medical-surgical and intermediate acute care settings. Twenty-six participants (10 RNs, 10 resident physicians, and six attending physicians) participated in semistructured interviews in two acute care metropolitan hospitals for this qualitative descriptive study. The Practice Primed Decision Model guided interview question development and early data analysis. Findings include a core category, Development of Trust in the Communication Process, supported by three main themes: (1) Understanding of Patient Status Drives Communication Decision Making; (2) Previous Interdisciplinary Communication Experience Guides Channel Selection; and (3) Perceived Usefulness Influences Communication Channel Selection. Findings from this study provide support for future design and research of communication channels within the EHR and clinical decision support systems.

Physical Therapist and Patient Perspectives on Mobile Technology to Support Home Exercise Prescription for People With Arthritis: A Qualitative Study

Introduction Mobile applications (apps) for exercise prescription may enhance communication between healthcare providers and patients while addressing common barriers to exercise among people with osteoarthritis. However, little is known about preferences and barriers to the use of mobile apps by physical therapists or people aging with osteoarthritis. Therefore, we aimed to examine physical therapist and patient perspectives on mobile apps to support physical therapist-prescribed home exercise for people with osteoarthritis. Methods Eighteen physical therapists and 17 individuals with a history of physical therapy for osteoarthritis participated in the study. Focus groups (n = 6, three each with physical therapists and patients) were conducted to gather perspectives on three commercially available mobile apps designed for physical therapy exercise prescription. Semi-structured questions assessed feature preferences, ease of use, exercise completion support, clinical feasibility, and potential barriers and facilitators to using the apps. Recordings of the focus groups were transcribed verbatim. The study team iteratively coded transcripts using thematic analysis. Results Perspectives of patients and physical therapists intersected but differed on the mobile apps. All patients preferred video exercise prescription over traditional methods and both patients and therapists predicted challenges and opportunities with mobile communication. Four themes emerged: accountability, data-driven, communication boost, and duality of technology. Facilitators of home exercise through mobile apps included exercise tracking, feedback loop, personalization, and the potential for reduced in-person visits. Barriers included technological challenges, complex interface design, lack of universal applicability, and security concerns. Conclusion Mobile app technology has the potential to support exercise adherence for people with osteoarthritis. However, patients' and therapists' perspectives differ and highlight numerous challenges that limit the universal clinical adoption of this technology. While physical therapists acknowledged the potential to improve the rehabilitation experience with mobile apps, there was concern about reimbursement and time constraints in the current fee-for-service environment.

Digital stressors and resources perceived by emergency physicians and associations to their digital stress perception, mental health, job satisfaction and work engagement

BACKGROUND

Digital technologies are increasingly being integrated into healthcare settings, including emergency departments, with the potential to improve efficiency and patient care. Although digitalisation promises many benefits, the use of digital technologies can also introduce new stressors and challenges among medical staff, which may result in the development of various negative work and health outcomes. Therefore, this study aims to identify existing digital stressors and resources among emergency physicians, examine associations with various work- and health-related parameters, and finally identify the potential need for preventive measures.

METHODS

In this quantitative cross-sectional study, an online questionnaire was used to examine the relationship between digital stressors (technostress creators), digital resources (technostress inhibitors), technostress perception as well as mental health, job satisfaction and work engagement among 204 physicians working in German emergency medicine departments. Data collection lasted from December 2022 to April 2023. Validated scales were used for the questionnaire (e.g. "Technostress"-scale and the Copenhagen Psychosocial Questionnaire (COPSOQ). Descriptive and multiple regression analyses were run to test explorative assumptions.

RESULTS

The study found medium levels of technostress perception among the participating emergency physicians as well as low levels of persisting technostress inhibitors. The queried physicians on average reported medium levels of exhaustion symptoms, high levels of work engagement and job satisfaction. Significant associations between digital stressors and work- as well as health-related outcomes were analyzed.

CONCLUSION

This study provides a preliminary assessment of the persistence of digital stressors, digital resources and technostress levels, and their potential impact on relevant health and work-related outcomes, among physicians working in German emergency departments. Understanding and mitigating these stressors is essential to promote the well-being of physicians and ensure optimal patient care. As digitisation processes will continue to increase, the need for preventive support measures in dealing with technology stressors is obvious and should be expanded accordingly in the clinics. By integrating such support into everyday hospital life, medical staff in emergency departments can better focus on patient care and mitigate potential stress factors associated with digital technologies.

Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care

BACKGROUND

Artificial intelligence (AI) is a rapidly advancing field that is beginning to enter the practice of medicine. Primary care is a cornerstone of medicine and deals with challenges such as physician shortage and burnout which impact patient care. AI and its application via digital health is increasingly presented as a possible solution. However, there is a scarcity of research focusing on primary care physician (PCP) attitudes toward AI. This study examines PCP views on AI in primary care. We explore its potential impact on topics pertinent to primary care such as the doctor-patient relationship and clinical workflow. By doing so, we aim to inform primary care stakeholders to encourage successful, equitable uptake of future AI tools. Our study is the first to our knowledge to explore PCP attitudes using specific primary care AI use cases rather than discussing AI in medicine in general terms.

METHODS

From June to August 2023, we conducted a survey among 47 primary care physicians affiliated with a large academic health system in Southern California. The survey quantified attitudes toward AI in general as well as concerning two specific AI use cases. Additionally, we conducted interviews with 15 survey respondents.

RESULTS

Our findings suggest that PCPs have largely positive views of AI. However, attitudes often hinged on the context of adoption. While some concerns reported by PCPs regarding AI in primary care focused on technology (accuracy, safety, bias), many focused on people-and-process factors (workflow, equity, reimbursement, doctor-patient relationship).

CONCLUSION

Our study offers nuanced insights into PCP attitudes towards AI in primary care and highlights the need for primary care stakeholder alignment on key issues raised by PCPs. AI initiatives that fail to address both the technological and people-and-process concerns raised by PCPs may struggle to make an impact.

Physician Burnout: Evidence-Based Roadmaps to Prioritizing and Supporting Personal Wellbeing

Current literature validates the magnitude of physician burnout as a complex challenge affecting physicians, patients, and healthcare delivery that mandates science-informed intervention. Physician burnout affects both individual practitioners and patient care delivery. Interventions, defined as roadmaps, to prioritizing and supporting personal wellbeing encompass organizational, individual, and moral injury, with virtually no consensus on optimal approaches. The purpose of this conceptual review is to present evidence-based innovative insights on contributing factors, mitigation, and designing adaptive systems to combat and prevent burnout. Science-informed policy initiatives that support long-term organizational changes endorsed by both leadership and institutional stakeholders are keys to sustaining personal wellbeing and ending burnout.

Patient engagement with psychological safety

Psychological safety is a multidimensional, dynamic phenomenon that concerns team members' perception of whether it is safe to take interpersonal risks at work. It is particularly important within health care teams who need to work interdependently to coordinate safe patient care within a highly complex, variable and high-stakes work environment. High levels of psychological safety have clear benefits for patient safety by improving the delivery of clinical care and promoting health care providers' job satisfaction and well-being. Feeling psychologically safe can enable team members to engage in speaking up behavior, such as asking questions, pointing out mistakes, or reporting errors. Several studies have explored psychological safety in health care teams and its impact on patient safety. These studies have highlighted the importance of psychological safety in health care organizations and provided strategies for promoting psychological safety. Psychological safety in health care involvement with patients can improve patient engagement.

Organizational interventions and occupational burnout: a meta-analysis with focus on exhaustion

PURPOSE

To assess whether organizational interventions are effective to prevent or reduce exhaustion, the core dimension of occupational burnout.

METHODS

We searched in PubMed, EMBASE, PsycINFO, and Cochrane Library databases randomized and non-randomized controlled trials conducted among active workers and reporting the outcome as exhaustion score. We calculated the effect sizes using the pre-test-post-test control group design's estimate. We used the random effects model in meta-analysis and Cochrane collaboration's tool for interventions to assess the risk of bias. Overall quality of evidence was appraised using the GRADE.

RESULTS

From the 2425 identified records, we assessed 228 full texts for eligibility and included 11 original articles describing 13 studies, 11 on organizational interventions, and 2 on combined inventions. The interventions were participatory (n = 9), focused on workload (n = 2), or on work schedule (n = 2). The overall effect size was - 0.30 ((95% CI = - 0.42; - 0.18), I2 = 62.28%), corresponding to a small reduction in exhaustion with a very low quality of evidence. Combined interventions had a larger effect (- 0.54 (95% CI = - 0.76; - 0.32)) than organizational interventions. When split by type of intervention, both participatory interventions and interventions focused on workload had a benefic effect of exhaustion reduction, with an estimated effect size of - 0.34 (95% CI = - 0.47; - 0.20) and - 0.44 (95% CI = - 0.68, - 0.20), respectively.

CONCLUSION

Interventions at combined level in workplaces could be helpful in preventing exhaustion. However, the evidence is still limited, due to a high heterogeneity between studies, bias potential, and small number of eligible studies. This calls for further research, using workload interventions at organizational level, especially in sectors with high risk of job stress and exhaustion.

An Overview of Reviews to Inform Organization-Level Interventions to Address Burnout in Rheumatologists

OBJECTIVE

To identify organization-directed strategies that could be implemented to prevent burnout among rheumatologists.

METHODS

A search of English language articles published 2011 or later was conducted on Cochrane Database of Systematic Reviews, Embase, Medline, and PsycInfo on January 25, 2022. Included reviews had ≥ 1 primary studies with ≥ 10% of participants who were physicians, recorded burnout as an outcome, and described an organization-directed intervention to prevent burnout. Overlap of primary studies across reviews was assessed. The final review inclusion was determined by study quality, minimization of overlap, and maximization of intervention breadth. The A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2 tool was used for quality assessment. Included studies and interventions were assessed by rheumatologists for their applicability to rheumatology.

RESULTS

A total of 17 reviews, including 15 systematic reviews, 1 realist review, and 1 umbrella review were included. AMSTAR 2 quality ratings classified 5 systematic reviews as low quality, 1 as moderate, and 9 as critically low. There was significant heterogeneity between and within reviews. Six conducted a metaanalysis and 11 provided a qualitative summary of findings. The following intervention types were identified as having possible applicability to rheumatology: physician workflow and organizational strategies; peer support and formal communication training; leadership support; and addressing stress, mental health, and mindfulness. Across interventions, mindfulness had the highest quality of evidence to support its effectiveness.

CONCLUSION

Although the quality of evidence for interventions to prevent burnout in physicians is low, promising strategies such as mindfulness have been identified.

Creating work-life balance among physicians in the age of digitalization: the role of self-consciousness and communication - a qualitative study

BACKGROUND

Besides the positive effects of using digital health solutions, digitalization can affect the healthcare worker burnout. The ability to coordinate different aspects of life (WLB) also plays a significant role in the development of burnout among medical workers. The aim of our study is to show, through qualitative interviews, the impact of digitalization on work-life balance in Hungarian physicians.

METHODS

62 semi-structured interviews were conducted between October 2021 and June 2022, of which, a total of 31 interviews were used for the analysis, which were all related to the theme of work-life balance. Purposive sampling and inductive thematic approach were used to collect and analyse the data and identify patterns of the themes.

RESULTS

Based on this analysis, 5 main themes emerged: (1) the use of digital health tools, (2) Impact of digital tools on everyday work, (3) Work-life balance, (4) Setting and maintaining work-life boundaries, (5) Potential solutions. With the spread of digital communication, most of the respondents feel that their working hours increased even at the expense of their private life. The majority considers constant availability as a serious problem, however, several physicians indicated that as a result of a learning curve, they are able to change and set the necessary boundaries. Respondents were divided on whether or not they were successful in setting and maintaining boundaries. The 2 most important factors of establishing WLB in a digital age are self-consciousness and communication. However, these skills are not self-evident: the responses also show that in many cases there is a need for external support, but also for health professionals to actively reflect from time to time on their role as healers and their relationship with technology.

CONCLUSION

Basic principles and tools for establishing successful digital work-life balance in healthcare should be involved in the training curriculum of future physicians and healthcare professionals, while institutions should elaborate specific policies to include digital work-life balance in the institutional setting, as part of the preventive measures against burnout.

Experience of Health Care Professionals Using Digital Tools in the Hospital: Qualitative Systematic Review

BACKGROUND

The digitalization of health care has many potential benefits, but it may also negatively impact health care professionals' well-being. Burnout can, in part, result from inefficient work processes related to the suboptimal implementation and use of health information technologies. Although strategies to reduce stress and mitigate clinician burnout typically involve individual-based interventions, emerging evidence suggests that improving the experience of using health information technologies can have a notable impact.

OBJECTIVE

The aim of this systematic review was to collect evidence of the benefits and challenges associated with the use of digital tools in hospital settings with a particular focus on the experiences of health care professionals using these tools.

METHODS

We conducted a systematic literature review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to explore the experience of health care professionals with digital tools in hospital settings. Using a rigorous selection process to ensure the methodological quality and validity of the study results, we included qualitative studies with distinct data that described the experiences of physicians and nurses. A panel of 3 independent researchers performed iterative data analysis and identified thematic constructs.

RESULTS

Of the 1175 unique primary studies, we identified 17 (1.45%) publications that focused on health care professionals' experiences with various digital tools in their day-to-day practice. Of the 17 studies, 10 (59%) focused on clinical decision support tools, followed by 6 (35%) studies focusing on electronic health records and 1 (6%) on a remote patient-monitoring tool. We propose a theoretical framework for understanding the complex interplay between the use of digital tools, experience, and outcomes. We identified 6 constructs that encompass the positive and negative experiences of health care professionals when using digital tools, along with moderators and outcomes. Positive experiences included feeling confident, responsible, and satisfied, whereas negative experiences included frustration, feeling overwhelmed, and feeling frightened. Positive moderators that may reinforce the use of digital tools included sufficient training and adequate workflow integration, whereas negative moderators comprised unfavorable social structures and the lack of training. Positive outcomes included improved patient care and increased workflow efficiency, whereas negative outcomes included increased workload, increased safety risks, and issues with information quality.

CONCLUSIONS

Although positive and negative outcomes and moderators that may affect the use of digital tools were commonly reported, the experiences of health care professionals, such as their thoughts and emotions, were less frequently discussed. On the basis of this finding, this study highlights the need for further research specifically targeting experiences as an important mediator of clinician well-being. It also emphasizes the importance of considering differences in the nature of specific tools as well as the profession and role of individual users.

TRIAL REGISTRATION

PROSPERO CRD42023393883; https://tinyurl.com/2htpzzxj.

Nurses' Roles in mHealth App Development: Scoping Review

BACKGROUND

Although mobile health (mHealth) apps for both health consumers and health care providers are increasingly common, their implementation is frequently unsuccessful when there is a misalignment between the needs of the user and the app's functionality. Nurses are well positioned to help address this challenge. However, nurses' engagement in mHealth app development remains unclear.

OBJECTIVE

This scoping review aims to determine the extent of the evidence of the role of nurses in app development, delineate developmental phases in which nurses are involved, and to characterize the type of mHealth apps nurses are involved in developing.

METHODS

We conducted a scoping review following the 6-stage methodology. We searched 14 databases to identify publications on the role of nurses in mHealth app development and hand searched the reference lists of relevant publications. Two independent researchers performed all screening and data extraction, and a third reviewer resolved any discrepancies. Data were synthesized and grouped by the Software Development Life Cycle phase, and the app functionality was described using the IMS Institute for Healthcare Informatics functionality scoring system.

RESULTS

The screening process resulted in 157 publications being included in our analysis. Nurses were involved in mHealth app development across all stages of the Software Development Life Cycle but most frequently participated in design and prototyping, requirements gathering, and testing. Nurses most often played the role of evaluators, followed by subject matter experts. Nurses infrequently participated in software development or planning, and participation as patient advocates, research experts, or nurse informaticists was rare.

CONCLUSIONS

Although nurses were represented throughout the preimplementation development process, nurses' involvement was concentrated in specific phases and roles.

The Role of Data Science in Closing the Implementation Gap

Data science has the potential to greatly enhance efforts to translate evidence into practice in critical care. The intensive care unit is a data-rich environment enabling insight into both patient-level care patterns and clinician-level treatment patterns. By applying artificial intelligence to these novel data sources, implementation strategies can be tailored to individual patients, individual clinicians, and individual situations, revealing when evidence-based practices are missed and facilitating context-sensitive clinical decision support. To achieve these goals, technology developers should work closely with clinicians to create unbiased applications that are integrated into the clinical workflow.

Burnout and Intention to Change Profession among Romanian Dentists during COVID-19: A Cross Sectional Study Using the Maslach Burnout Inventory

This study aims to examine the relationship between burnout and dentists' intentions to change careers during the COVID-19 pandemic. The MBI-Human Services Survey for Medical Personnel-MBI-HSS (MP) was used to measure burnout levels and investigate how they relate to dentists' intentions to change their profession. The sample included 69 Romanian dentists, 56 of whom were women and 13 of whom were men. Self-reported questionnaires provided to the participants were used to collect the data. Female participants reported higher levels of emotional Exhaustion and Depersonalisation than males. However, there were no substantial differences in Personal Accomplishment levels between genders. As for the intentions to change careers, 41 expressed a clear intention to change their profession, 15 were still determining if they would choose the same speciality, and 28 indicated they would not choose the medical field. The study's findings provide insight into how dentists' thoughts about perceived burnout during the COVID-19 pandemic significantly influenced their attitudes regarding their career paths. The results suggest concerns regarding burnout in the dental field and emphasise the necessity for burnout interventions and support services, particularly during healthcare crises. Further research and interventions to mitigate burnout and promote well-being among dentists are needed to ensure the sustainability and quality of dental healthcare services in Romania.

Barriers and facilitators to utilizing digital health technologies by healthcare professionals

Digital technologies change the healthcare environment, with several studies suggesting barriers and facilitators to using digital interventions by healthcare professionals (HPs). We consolidated the evidence from existing systematic reviews mentioning barriers and facilitators for the use of digital health technologies by HP. Electronic searches were performed in five databases (Cochrane Database of Systematic Reviews, Embase®, Epistemonikos, MEDLINE®, and Scopus) from inception to March 2023. We included reviews that reported barriers or facilitators factors to use technology solutions among HP. We performed data abstraction, methodological assessment, and certainty of the evidence appraisal by at least two authors. Overall, we included 108 reviews involving physicians, pharmacists, and nurses were included. High-quality evidence suggested that infrastructure and technical barriers (Relative Frequency Occurrence [RFO] 6.4% [95% CI 2.9-14.1]), psychological and personal issues (RFO 5.3% [95% CI 2.2-12.7]), and concerns of increasing working hours or workload (RFO 3.9% [95% CI 1.5-10.1]) were common concerns reported by HPs. Likewise, high-quality evidence supports that training/educational programs, multisector incentives, and the perception of technology effectiveness facilitate the adoption of digital technologies by HPs (RFO 3.8% [95% CI 1.8-7.9]). Our findings showed that infrastructure and technical issues, psychological barriers, and workload-related concerns are relevant barriers to comprehensively and holistically adopting digital health technologies by HPs. Conversely, deploying training, evaluating HP's perception of usefulness and willingness to use, and multi-stakeholders incentives are vital enablers to enhance the HP adoption of digital interventions.

Digitalization in Urology-A Multimethod Study of the Relationships between Physicians' Technostress, Burnout, Work Engagement and Job Satisfaction

The potential influences of digitization on the mental health of personnel in the healthcare sector are increasingly coming into the scientific focus in the healthcare sector, especially in terms of the use of information and communication technologies. To date, there have been no German studies of the effects of technostress in healthcare. This cross-sectional study examined the relationships between technostress, burnout, work engagement, and job satisfaction among physicians in the field of urology. Data were collected via an online survey based on the job demands-resources model and the concept of technostress. The survey was sent to German urologists working in inpatient clinics. The participating physicians experienced moderate levels of technostress (M = 2.67, SD = 0.69). The results, based on a general linear model analysis, showed that technostress is significantly positively associated with burnout (β = 0.293; p < 0.001) and negatively associated with work engagement (β = -0.175; p < 0.001) and job satisfaction (β = -0.206; p < 0.001). This study also identified stress and strain factors associated with the use of ICT and assessed institutional support offers as coping mechanisms. The results of this study and its formulated practical implications can serve as a basis for discussing sustainable digitalization strategies in hospitals, taking into consideration technostress and its impact on physicians' burnout, work engagement and job satisfaction.

The Role of Virtual Triage in Improving Clinician Experience and Satisfaction: A Narrative Review

Objective

This review examines the literature on improving clinician satisfaction with a focus on what has been most effective in improving experience from the perspective of clinicians, and the potential role that virtual triage (VT) technology can play in delivering positive clinician experiences that improve clinical care, and bring value to health care delivery organizations (HDOs).

Methods

Review and synthesis of evidence on clinician satisfaction indicating a potential for VT to favorably impact clinician experience, sense of effectiveness, efficiency, and reduction of administrative task burden. Analysis considers how to conceptualize and the value of improving clinician experience, leading clinician dissatisfiers, and the potential role of VT in improving clinician experience/satisfaction.

Results

Contributors to poor clinician experience/satisfaction where VT could have a beneficial impact include better managing resource limitations, administrative workload, lack of care coordination, information overload, and payer interactions. VT can improve clinician experience through the technology's ability to leverage real-time actionable data clinicians can use, streamlining patient-clinician communications, personalizing care delivery, optimizing care coordination, and better aligning digital/virtual services with clinical practice. From an organizational perspective, improvements in clinician experience and satisfaction derive from establishing an effective digital back door, increasing the clinical impact of and satisfaction derived from telemedicine and virtual care, and enhancing clinician centricity.

Conclusions

By embracing digital transformation and implementing solutions such as VT that focus on improving patient and clinician experience, HDOs can address barriers to delivery of high-quality, efficient, and cost-effective care. VT is a digital health tool that can create a more streamlined and satisfying experience for clinicians and the patients they care for. VT is a technology solution that can help clinicians make faster more informed decisions, reduces avoidable care, improves communication with patients and within care teams, and lowers their administrative burden so they have more quality time to care for patients.

Stressors, Resources, and Strain Associated with Digitization Processes of Medical Staff Working in Neurosurgical and Vascular Surgical Hospital Wards: A Multimethod Study

The digitization of German hospitals is proceeding continuously, leading to the implementation of new digital technologies, such as electronic health records (EHRs) or other technologies, used for the purpose of medical documentation tasks. Even though the replacement of paper documentation through digitized documentation in general promises to come along with plenty of benefits, the daily utilization of technologies might also lead to stresses and strains among the medical staff, eventually possibly leading to the development of different negative work and health-related outcomes. This study, therefore, aims at identifying persisting digitization-associated stressors and resources among medical hospital staff, examining their influences on different work and health-related outcomes, and finally, identifying potential needs for preventive measures. A quantitative study in the form of an online questionnaire survey was conducted among physicians working in the medical field of neuro- and vascular surgery in German hospitals. The study was carried out between June and October 2022 utilizing an online questionnaire based on several standardized scales, such as the technology acceptance model (TAM) and the technostress model, as well as on several scales from the Copenhagen Psychosocial Questionnaire (COPSOQ). The study found medium levels of technostress among the participating physicians (n = 114), as well as low to medium levels of persisting resources. The queried physicians, on average, reported low levels of burnout symptoms, generally described their health status as good, and were mostly satisfied with their job. Despite the prevalence of technostress and the low levels of resources among the surveyed physicians, there is little awareness of the problem of digital stress, and preventive measures have not been widely implemented yet in the clinics, indicating a needs gap and the necessity for the strategic and quality-guided implementation of measures to effectively prevent digital stress from developing.

Time Out: The Impact of Physician Burnout on Patient Care Quality and Safety in Perioperative Medicine

Perioperative care delivery is a patient-centered, multidisciplinary process. It relies heavily on synchronized teamwork from a well-coordinated team. Perioperative physicians-surgeons and anesthesiologists-face enormous challenges in surgical care delivery due to changing work environments, post-COVID consequences, shift work disorder, value conflict, escalating demands, regulatory complexity, and financial uncertainties. Physician burnout in this working environment has become increasingly prevalent. It is not only harmful to physicians' health and well-being, but it also affects the quality and safety of patient care. Additionally, the economic costs associated with physician burnout are untenable due to the high turnover rate, high recruitment expenses, and potential early permanent exit from medical practice. In this deteriorating environment of unbalanced physician supply/demand, recognizing, managing, and preventing physician burnout may help preserve the system's most valuable asset and contribute to higher quality and safety of patient care. Leaders in government agencies, health care systems, and organizations must work together to re-engineer the health care system for better physicians and patient care.

[Administrative burden, motivation and well-being among primary care physicians: comparison of management models]

OBJECTIVE

To analyze the relationship between administrative burden and intrinsic motivation and between administrative burden and professional well-being among family and community medicine physicians. To analyze the extent to which attention to three basic needs (autonomy, sense of competence and relationship capacity) that one of the main motivation theories identifies as a generator of intrinsic motivation compensates for the negative effect of the administrative burden. To compare management models.

METHOD

Data from a survey (542 valid questionnaires) carried out through the Catalan Society of Family and Community Medicine are used. Data analysis is based on multiple regression and ANOVA techniques.

RESULTS

The perception of administrative burden and "red tape" are clearly demotivating and reduce job satisfaction. On the contrary, individual autonomy, networking opportunities between professionals and performance feedback are motivating and feed the perception of professional well-being. The EBA (Association Based Entity) model presents results above the ICS (Catalan Health Institute) and OSI (Integrated Health Organizations) models both in controlling the negative effect of administrative burden and in the management of basic psychological needs.

CONCLUSIONS

The motivation and professional well-being of primary care physicians would benefit from reforms that limit the administrative burden of some procedures and red tape. At the primary health center level, greater attention to individual autonomy, improving relatedness between professionals and the sense of competence based on better information on individual performance can offset the negative effects of the administrative burden.

Professional Coaching as a Continuing Professional Development Intervention to Address the Physician Distress Epidemic

ABSTRACT

Physician distress and burnout are reaching epidemic proportions, threatening physicians' capacities to develop and maintain competencies in the face of the increasingly demanding and complex realities of medical practice in today's world. In this article, we suggest that coaching should be considered both a continuing professional development intervention as well as an integral part of a balanced and proactive solution to physician distress and burnout. Unlike other interventions, coaching is intended to help individuals gain clarity in their life, rather than to treat a mental health condition or to provide advice, support, guidance, or knowledge/skills. Certified coaches are trained to help individuals discover solutions to complex problems and facilitate decision-making about what is needed to build and maintain capacity and take action. Across many sectors, coaching has been shown to enhance performance and reduce vulnerability to distress and burnout, but it has yet to be systematically implemented in medicine. By empowering physicians to discover and implement solutions to challenges, regain control over their lives, and act according to their own values, coaching can position physicians to become leaders and advocates for system-level change, while simultaneously prioritizing their own well-being.

Medical and nursing clinician perspectives on the usability of the hospital electronic medical record: A qualitative analysis

BACKGROUND

Electronic medical records (EMRs) have been widely implemented in Australian hospitals. Their usability and design to support clinicians to effectively deliver and document care is essential, as is their impact on clinical workflow, safety and quality, communication, and collaboration across health systems. Perceptions of, and data about, usability of EMRs implemented in Australian hospitals are key to successful adoption.

OBJECTIVE

To explore perspectives of medical and nursing clinicians on EMR usability utilising free-text data collected in a survey.

METHOD

Qualitative analysis of one free-text optional question included in a web-based survey. Respondents included medical and nursing/midwifery professionals in Australian hospitals (85 doctors and 27 nurses), who commented on the usability of the main EMR used.

RESULTS

Themes identified related to the status of EMR implementation, system design, human factors, safety and risk, system response time, and stability, alerts, and supporting the collaboration between healthcare sectors. Positive factors included ability to view information from any location; ease of medication documentation; and capacity to access diagnostic test results. Usability concerns included lack of intuitiveness; complexity; difficulties communicating with primary and other care sectors; and time taken to perform clinical tasks.

CONCLUSION

If the benefits of EMRs are to be realised, there are good reasons to address the usability challenges identified by clinicians. Easy solutions that could improve the usability experience of hospital-based clinicians include resolving sign-on issues, use of templates, and more intelligent alerts and warnings to avoid errors.

IMPLICATIONS

These essential improvements to the usability of the EMR, which are the foundation of the digital health system, will enable hospital clinicians to deliver safer and more effective health care.

Scoping review: Positive and negative impact of technology on clinicians

BACKGROUND

Unnecessary electronic health record (EHRs) documentation burden and usability issues have negatively impacted clinician well-being (e.g., burnout and moral distress).

PURPOSE

This scoping review was conducted by members from three expert panels of the American Academy of Nurses to generate consensus on the evidence of both positive and negative impact of EHRs on clinicians.

METHODS

The scoping review was conducted based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Extension for Scoping Reviews guidelines.

RESULTS

The scoping review captured 1,886 publications screened against title and abstract 1,431 excluded, examined 448 in a full-text review, excluded 347 with 101 studies informing the final review.

DISCUSSION

Findings suggest few studies that have explored the positive impact of EHRs and more studies that have explored the clinician's satisfaction and work burden. Significant gaps were identified in associating distress to use of EHRs and minimal studies on EHRs' impact on nurses.

CONCLUSION

Examined the evidence of HIT's positive and negative impacts on clinician's practice, clinicians work environment, and if psychological impact differed among clinicians.

Impact of coaching on physician wellness: A systematic review

Physician wellness is critical for patient safety and quality of care. Coaching has been successfully and widely applied across many industries to enhance well-being but has only recently been considered for physicians. This review aimed to summarize the existing evidence on the effect of coaching by trained coaches on physician well-being, distress and burnout. MEDLINE, Embase, ERIC, PsycINFO and Web of Science were searched without language restrictions to December 21, 2022. Studies of any design were included if they involved physicians of any specialty undergoing coaching by trained coaches and assessed at least one measure along the wellness continuum. Pairs of independent reviewers determined reference eligibility. Risk of bias was assessed using the Cochrane Risk of Bias Tools for Randomized Controlled Trials (RCTs) and for Non-randomized Studies of Interventions (ROBINS-I). Meta-analysis was not possible due to heterogeneity in study design and outcome measures as well as inconsistent reporting. The search retrieved 2531 references, of which 14 were included (5 RCTs, 2 non-randomized controlled studies, 4 before-and-after studies, 2 mixed-methods studies, 1 qualitative study). There were 1099 participants across all included studies. Risk of bias was moderate or serious for non-RCTs, while the 5 RCTs were of lower risk. All quantitative studies reported effectiveness of coaching for at least one outcome assessed. The included qualitative study reported a perceived positive impact of coaching by participants. Evidence from available RCTs suggests coaching for physicians can improve well-being and reduce distress/burnout. Non-randomized interventional studies have similar findings but face many limitations. Consistent reporting and standardized outcome measures are needed.

User-Centered Design of a Clinical Tool for Shared Decision-making About Diet in Primary Care

BACKGROUND

Health information technology is a leading cause of clinician burnout and career dissatisfaction, often because it is poorly designed by nonclinicians who have limited knowledge of clinicians' information needs and health care workflow.

OBJECTIVE

Describe how we engaged primary care clinicians and their patients in an iterative design process for a software application to enhance clinician-patient diet discussions.

DESIGN

Descriptive study of the steps followed when involving clinicians and their at-risk patients in the design of the content, layout, and flow of an application for collaborative dietary goal setting. This began with individual clinician and patient interviews to detail the desired informational content of the screens displayed followed by iterative reviews of intermediate and final versions of the program and its outputs.

PARTICIPANTS

Primary care clinicians practicing in an urban federally qualified health center and two academic primary care clinics, and their patients who were overweight or obese with diet-sensitive conditions.

MAIN MEASURES

Descriptions of the content, format, and flow of information from pre-visit dietary history to the display of evidence-based, guideline-driven suggested goals to final display of dietary goals selected, with information on how the patient might reach them and patients' confidence in achieving them.

KEY RESULTS

Through three iterations of design and review, there was substantial evolution of the program's content, format, and flow of information. This involved "tuning" of the information desired: from too little, to too much, to the right amount displayed that both clinicians and patients believed would facilitate shared dietary goal setting.

CONCLUSIONS

Clinicians' well-founded criticisms of the design of health information technology can be mitigated by involving them and their patients in the design of such tools that clinicians may find useful, and use, in their everyday medical practice.

Creating healthy workplaces in healthcare: Are we delaying progress by focusing on what we can do rather than what we should do?

All the available evidence points to the fact that healthcare is under considerable stress, and while change is urgently needed there is no quick fix; systemic and sustained changes in organizational cultures within healthcare are required. Moreover, the fragility of healthcare systems globally has been starkly exposed by the Coronavirus 2019 pandemic. We have gathered enough evidence to know what is driving poor wellbeing, and how these processes impact on quality of care and patient safety. Indeed, we have a good idea of what we need to do to improve the situation. Therefore, this begs a simpler question; If we know how to create healthy workplaces, why is it so difficult to achieve this in healthcare? In the following perspective paper, we will argue that we can do better if we address the following three issues: (1) we are ignoring the real problems, (2) limited successes that we are achieving are moving us further from tackling the real problems, (3) culture change is accepted as crucial, but we are not accepting what the evidence is telling us about healthcare culture. Tackling burnout is useful and necessary, but we must increase dignity among healthcare employees. Moreover, we need to train line managers to recognize and facilitate the need of employees to feel competent and be appreciated by others, while helping them set wellbeing boundaries.

Enhanced neurologic concept recognition using a named entity recognition model based on transformers

Although deep learning has been applied to the recognition of diseases and drugs in electronic health records and the biomedical literature, relatively little study has been devoted to the utility of deep learning for the recognition of signs and symptoms. The recognition of signs and symptoms is critical to the success of deep phenotyping and precision medicine. We have developed a named entity recognition model that uses deep learning to identify text spans containing neurological signs and symptoms and then maps these text spans to the clinical concepts of a neuro-ontology. We compared a model based on convolutional neural networks to one based on bidirectional encoder representation from transformers. Models were evaluated for accuracy of text span identification on three text corpora: physician notes from an electronic health record, case histories from neurologic textbooks, and clinical synopses from an online database of genetic diseases. Both models performed best on the professionally-written clinical synopses and worst on the physician-written clinical notes. Both models performed better when signs and symptoms were represented as shorter text spans. Consistent with prior studies that examined the recognition of diseases and drugs, the model based on bidirectional encoder representations from transformers outperformed the model based on convolutional neural networks for recognizing signs and symptoms. Recall for signs and symptoms ranged from 59.5% to 82.0% and precision ranged from 61.7% to 80.4%. With further advances in NLP, fully automated recognition of signs and symptoms in electronic health records and the medical literature should be feasible.

A Smartphone App to Reduce Burnout in the Emergency Department: A Pilot Randomized Controlled Trial

Background:

Burnout is a significant concern among health care professionals, particularly those working in the emergency department (ED). Given the negative personal and professional consequences that burnout can have on all health care professionals, multidisciplinary solutions are needed to address burnout. Our objective was to evaluate the feasibility and potential impact of resilience training delivered through a smartphone application on burnout among health care professionals working at a tertiary-care pediatric ED.

Methods:

We conducted a single-center pilot randomized controlled study enrolling multidisciplinary health care professionals working in our ED. Participants assigned to the intervention group received self-driven access to a smartphone application that provided a structured resilience curriculum for a period of 3 months. The participants completed psychometric assessments both prior to and following the invention period. Changes in psychometric measures of the intervention group were then compared with a waitlist-control group.

Results:

Following the intervention period, a total of 20 participants were included in the final analysis. The change in participant scores on psychometric measures prior to and following the intervention period was calculated. A statistically significant mean decrease in burnout measure (emotional exhaustion subscale of Maslach-Burnout Inventory mean score −5.88, p < .001) and increase in mindfulness measure (Mindful Attention Awareness Scale mean score 0.51, p < .001) was observed among the intervention group participants.

Conclusions/Application to Practice:

Our study suggests that a resilience training program delivered using a smartphone application can be an effective intervention in reducing burnout and increasing mindfulness skills. Our study also demonstrated the potential feasibility of a randomized controlled study of burnout within a multidisciplinary group of health care professionals.

Impact of the COVID-19 pandemic upon self-reported physician burnout in Ontario, Canada: evidence from a repeated cross-sectional survey

OBJECTIVES

To estimate the impact of the SARS-CoV-2 (COVID-19) pandemic on levels of burnout among physicians in Ontario, Canada, and to understand physician perceptions of the contributors and solutions to burnout.

DESIGN

Repeated cross-sectional survey.

SETTING

Active and retired physicians, residents and medical students in Canada's largest province were invited to participate in an online survey via an email newsletter.

PARTICIPANTS

In the first survey wave (March 2020), 1400 members responded (representing 76.3% of those who could be confirmed to have received the survey and 3.1% of total membership). In the second wave (March 2021), 2638 responded (75.9% of confirmed survey recipients and 5.8% of membership).

KEY OUTCOME MEASURE

Level of burnout was assessed using a validated, single-item, self-defined burnout measure where options ranged from 1 (no symptoms of burnout) to 5 (completely burned out).

RESULTS

The overall rate of high levels of burnout (self-reported levels 4-5) increased from 28.0% in 2020 (99% CI: 24.3% to 31.7%) to 34.7% in 2021 (99% CI: 31.8% to 37.7%), a 1-year increase of 6.8 percentage points (p<0.01). After a full year of practising during the COVID-19 pandemic, respondents ranked 'patient expectations/patient accountability', 'reporting and administrative obligations' and 'practice environment' as the three factors that contributed most to burnout. Respondents ranked 'streamline and reduce required documentation/administrative work', 'provide fair compensation' and 'improve work-life balance' as the three most important solutions.

CONCLUSIONS

During the first 12 months of the COVID-19 pandemic in Ontario, prevalence of high levels of burnout had significantly increased. The contributors and solutions ranked highest by physicians were system-level or organisational in nature.

Evaluating the Impact of a Point-of-Care Cardiometabolic Clinical Decision Support Tool on Clinical Efficiency Using Electronic Health Record Audit Log Data: Algorithm Development and Validation

Background

Electronic health record (EHR) systems are becoming increasingly complicated, leading to concerns about rising physician burnout, particularly for primary care physicians (PCPs). Managing the most common cardiometabolic chronic conditions by PCPs during a limited clinical time with a patient is challenging.

Objective

This study aimed to evaluate a Cardiometabolic Sutter Health Advanced Reengineered Encounter (CM-SHARE), a web-based application to visualize key EHR data, on the EHR use efficiency.

Methods

We developed algorithms to identify key clinic workflow measures (eg, total encounter time, total physician time in the examination room, and physician EHR time in the examination room) using audit data, and we validated and calibrated the measures with time-motion data. We used a pre-post parallel design to identify propensity score–matched CM-SHARE users (cases), nonusers (controls), and nested-matched patients. Cardiometabolic encounters from matched case and control patients were used for the workflow evaluation. Outcome measures were compared between the cases and controls. We applied this approach separately to both the CM-SHARE pilot and spread phases.

Results

Time-motion observation was conducted on 101 primary care encounters for 9 PCPs in 3 clinics. There was little difference (<0.8 minutes) between the audit data–derived workflow measures and the time-motion observation. Two key unobservable times from audit data, physician entry into and exiting the examination room, were imputed based on time-motion studies. CM-SHARE was launched with 6 pilot PCPs in April 2016. During the prestudy period (April 1, 2015, to April 1, 2016), 870 control patients with 2845 encounters were matched with 870 case patients and encounters, and 727 case patients with 852 encounters were matched with 727 control patients and 3754 encounters in the poststudy period (June 1, 2016, to June 30, 2017). Total encounter time was slightly shorter (mean −2.7, SD 1.4 minutes, 95% CI −4.7 to −0.9; mean –1.6, SD 1.1 minutes, 95% CI −3.2 to −0.1) for cases than controls for both periods. CM-SHARE saves physicians approximately 2 minutes EHR time in the examination room (mean −2.0, SD 1.3, 95% CI −3.4 to −0.9) compared with prestudy period and poststudy period controls (mean −1.9, SD 0.9, 95% CI −3.8 to −0.5). In the spread phase, 48 CM-SHARE spread PCPs were matched with 84 control PCPs and 1272 cases with 3412 control patients, having 1119 and 4240 encounters, respectively. A significant reduction in total encounter time for the CM-SHARE group was observed for short appointments (≤20 minutes; 5.3-minute reduction on average) only. Total physician EHR time was significantly reduced for both longer and shorter appointments (17%-33% reductions).

Conclusions

Combining EHR audit log files and clinical information, our approach offers an innovative and scalable method and new measures that can be used to evaluate clinical EHR efficiency of digital tools used in clinical settings.

How do frontline healthcare workers learn from COVID-19 webinars during a pandemic? An online survey study

OBJECTIVES

The COVID-19 pandemic severely restricted in-person learning. As a result, many educational institutions switched to online platforms to continue teaching. COVID-19 webinars have been useful for rapidly disseminating information to frontline healthcare workers. While conducting COVID-19 webinars through online platforms is a popular method to train medical professionals, their effectiveness has never been investigated. Our aim was to ascertain the usefulness of COVID-19 webinars during the pandemic.

METHODS

We conducted an online survey of about 400 frontline healthcare workers. 112 people responded to the survey (response rate = 28%). In it, we asked several questions to determine whether webinars had been a useful resource to help deal with COVID-19 patients.

RESULTS

We found that a majority of healthcare worker respondents had favourable opinions of online education during the pandemic as around 78% of respondents either agreed or highly agreed that webinars are a useful source of knowledge. A significant proportion (34%) did not participate in webinars and gave time constraints as their main reason for not participating.

CONCLUSION

Our results indicated that while online education is a great way to disseminate information quickly to a large amount of people, it also comes with its disadvantages. As we transition into a post-pandemic world, we need to make sure that online teaching is designed with the best interests of the healthcare workers in mind to ensure that we get the most out of it.

Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirements

OBJECTIVE

This study aimed is to: (1) extend the Integrating the Biology and the Bedside (i2b2) data and application models to include medical imaging appropriate use criteria, enabling it to serve as a platform to monitor local impact of the Protecting Access to Medicare Act's (PAMA) imaging clinical decision support (CDS) requirements, and (2) validate the i2b2 extension using data from the Medicare Imaging Demonstration (MID) CDS implementation.

MATERIALS AND METHODS

This study provided a reference implementation and assessed its validity and reliability using data from the MID, the federal government's predecessor to PAMA's imaging CDS program. The Star Schema was extended to describe the interactions of imaging ordering providers with the CDS. New ontologies were added to enable mapping medical imaging appropriateness data to i2b2 schema. z-Ratio for testing the significance of the difference between 2 independent proportions was utilized.

RESULTS

The reference implementation used 26 327 orders for imaging examinations which were persisted to the modified i2b2 schema. As an illustration of the analytical capabilities of the Web Client, we report that 331/1192 or 28.1% of imaging orders were deemed appropriate by the CDS system at the end of the intervention period (September 2013), an increase from 162/1223 or 13.2% for the first month of the baseline period, December 2011 (P = .0212), consistent with previous studies.

CONCLUSIONS

The i2b2 platform can be extended to monitor local impact of PAMA's appropriateness of imaging ordering CDS requirements.

Telehealth, Social Media, Patient Empowerment, and Physician Burnout: Seeking Middle Ground

The digital revolution is an ongoing process that has nevertheless profoundly affected century-old medical practice. Digitalization has many facets, ranging from telehealth to social media and even new instant communication devices, each of which affect both patients' and physicians' realities. Although the benefits of developments such as telehealth and novel applications of social media to medicine are more easily perceived by all stakeholders, they still have their own hurdles and risks, such as coldness and impersonal treatment in telehealth, and misinformation on social media. The widespread digitalization of health records has greatly facilitated patient access to health information, becoming a major patient empowerment tool; however, some forms of unrestricted access, such as to test results-in particular, prior to consultations-have unclear benefits to patients with cancer and have also become a hurdle for care teams. In addition, the advent of instant messaging, which is revolutionizing personal communication in many cultures, is gradually affecting patient-physician communication and, combined with unrestricted patient access to test results, is creating new challenges for physicians. How these transformations are affecting patients themselves and physicians' well-being and mental health are matters addressed in this text. Last, to address potential biases in an article written by two oncologists, and in line with this year's ASCO presidential theme of including a diversity of voices, we decided to give voice to patients with cancer by collecting the opinions of high-profile patient advocates about the controversial topics addressed in this text.

Physician Burnout and the Electronic Health Record Leading up to and During The First Year of COVID-19: A Systematic Review (Preprint)

Background

Physician burnout was first documented in 1974, and the electronic health record (EHR) has been known to contribute to the symptoms of physician burnout. Authors pondered the extent of this effect, recognizing the increased use of telemedicine during the first year of COVID-19.

Objective

The aim of this review was to objectively analyze the literature over the last 5 years for empirical evidence of burnout incident to the EHR and to identify barriers to, facilitators to, and associated patient satisfaction with using the EHR to improve symptoms of burnout.

Methods

No human participants were involved in this review; however, 100% of participants in studies analyzed were adult physicians. We queried 4 research databases and 1 targeted journal for studies commensurate with the objective statement from January 1, 2016 through January 31, 2021 (n=25).

Results

The hours spent in documentation and workflow are responsible for the sense of loss of autonomy, lack of work-life balance, lack of control of one’s schedule, cognitive fatigue, a general loss of autonomy, and poor relationships with colleagues. Researchers have identified training, local customization of templates and workflow, and the use of scribes as strategies to alleviate the administrative burden of the EHR and decrease symptoms of burnout.

Conclusions

The solutions provided in the literature only addressed 2 of the 3 factors (workflow and documentation time) but not the third factor (usability). Practitioners and administrators should focus on the former 2 factors because they are within their sphere of control. EHR vendors should focus on empirical evidence to identify and improve the usability features with the greatest impact. Researchers should design experiments to explore solutions that address all 3 factors of the EHR that contribute to burnout.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42020201820; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=201820

International Registered Report Identifier (IRRID)

RR2-10.2196/15490

Identifying Medication-related Intents from a Bidirectional Text Messaging Platform for Hypertension Management: A Pilot Study using a Unsupervised Learning Approach (Preprint)

Background

Free-text communication between patients and providers plays an increasing role in chronic disease management, through platforms varying from traditional health care portals to novel mobile messaging apps. These text data are rich resources for clinical purposes, but their sheer volume render them difficult to manage. Even automated approaches, such as natural language processing, require labor-intensive manual classification for developing training data sets. Automated approaches to organizing free-text data are necessary to facilitate use of free-text communication for clinical care.

Objective

The aim of this study was to apply unsupervised learning approaches to (1) understand the types of topics discussed and (2) learn medication-related intents from messages sent between patients and providers through a bidirectional text messaging system for managing participant blood pressure (BP).

Methods

This study was a secondary analysis of deidentified messages from a remote, mobile, text-based employee hypertension management program at an academic institution. We trained a latent Dirichlet allocation (LDA) model for each message type (ie, inbound patient messages and outbound provider messages) and identified the distribution of major topics and significant topics (probability >.20) across message types. Next, we annotated all medication-related messages with a single medication intent. Then, we trained a second medication-specific LDA (medLDA) model to assess how well the unsupervised method could identify more fine-grained medication intents. We encoded each medication message with n-grams (n=1-3 words) using spaCy, clinical named entities using Stanza, and medication categories using MedEx; we then applied chi-square feature selection to learn the most informative features associated with each medication intent.

Results

In total, 253 participants and 5 providers engaged in the program, generating 12,131 total messages: 46.90% (n=5689) patient messages and 53.10% (n=6442) provider messages. Most patient messages corresponded to BP reporting, BP encouragement, and appointment scheduling; most provider messages corresponded to BP reporting, medication adherence, and confirmatory statements. Most patient and provider messages contained 1 topic and few contained more than 3 topics identified using LDA. In total, 534 medication messages were annotated with a single medication intent. Of these, 282 (52.8%) were patient medication messages: most referred to the medication request intent (n=134, 47.5%). Most of the 252 (47.2%) provider medication messages referred to the medication question intent (n=173, 68.7%). Although the medLDA model could identify a majority intent within each topic, it could not distinguish medication intents with low prevalence within patient or provider messages. Richer feature engineering identified informative lexical-semantic patterns associated with each medication intent class.

Conclusions

LDA can be an effective method for generating subgroups of messages with similar term usage and facilitating the review of topics to inform annotations. However, few training cases and shared vocabulary between intents precludes the use of LDA for fully automated, deep, medication intent classification.

International Registered Report Identifier (IRRID)

RR2-10.1101/2021.12.23.21268061

Primary care physicians' electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis

OBJECTIVE

This study aimed to understand the association between primary care physician (PCP) proficiency with the electronic health record (EHR) system and time spent interacting with the EHR.

MATERIALS AND METHODS

We examined the use of EHR proficiency tools among PCPs at one large academic health system using EHR-derived measures of clinician EHR proficiency and efficiency. Our main predictors were the use of EHR proficiency tools and our outcomes focused on 4 measures assessing time spent in the EHR: (1) total time spent interacting with the EHR, (2) time spent outside scheduled clinical hours, (3) time spent documenting, and (4) time spent on inbox management. We conducted multivariable quantile regression models with fixed effects for physician-level factors and time in order to identify factors that were independently associated with time spent in the EHR.

RESULTS

Across 441 primary care physicians, we found mixed associations between certain EHR proficiency behaviors and time spent in the EHR. Across EHR activities studied, QuickActions, SmartPhrases, and documentation length were positively associated with increased time spent in the EHR. Models also showed a greater amount of help from team members in note writing was associated with less time spent in the EHR and documenting.

DISCUSSION

Examining the prevalence of EHR proficiency behaviors may suggest targeted areas for initial and ongoing EHR training. Although documentation behaviors are key areas for training, team-based models for documentation and inbox management require further study.

CONCLUSIONS

A nuanced association exists between physician EHR proficiency and time spent in the EHR.

Stress and Burnout Related to Electronic Health Record Use among Healthcare Providers during the COVID-19 Pandemic in Saudi Arabia: A Preliminary National Randomized Survey

Healthcare providers' burnout may potentially have a negative impact on patient care. The use of the electronic health record (EHR) increases the burden for healthcare providers (HCPs), particularly during the coronavirus disease-2019 (COVID-19) pandemic. This study assessed the stress and burnout related to the use of EHRs and health information technology (HIT) tools among HCPs during COVID-19 in Saudi Arabia. We used a self-developed survey tool. It consisted of five sections; demographics and professional data, experience using EHR, effects of EHR use, use of EHR and technology tools during COVID-19, and health and wellbeing. The survey link was emailed to a random sample of HCPs registered with a national scientific regulatory body. Univariate, bivariate, and multivariate analyses were performed to measure the association between burnout and study variables. A total of 182 participants completed the survey. 50.5% of participants reported a presence of HIT-related stress, and 40.1% reported a presence of burnout. The variables independently associated with burnout were providing tertiary level of care, working with COVID-19 suspected cases, dissatisfaction with EHRs, and agreement with the statement that using EHRs added frustration to the workday. Further research that explores possible solutions is warranted to minimize burnout among HCPs, especially during infectious outbreaks.

Identifying Patterns in Administrative Tasks through Structural Topic Modeling: A Study of Task Definitions, Prevalence, and Shifts in a Mental Health Practice's Operations during the COVID-19 Pandemic

OBJECTIVE

This case study illustrates the use of natural language processing for identifying administrative task categories, prevalence and shifts necessitated by a major event (the COVID-19 pandemic) from user-generated data stored as free text in a task management system for a multi-site mental health practice with 40 clinicians and 13 administrative staff members.

METHODS

Structural topic modeling was applied on 7,079 task sequences from 13 administrative users of a HIPAA-compliant task management platform. Context was obtained through interviews with an expert panel.

RESULTS

10 task definitions spanning three major categories were identified, and their prevalence estimated. Significant shifts in task prevalence due to the pandemic were detected for tasks like billing inquiries to insurers, appointment cancellations, patient balances and new patient follow-up.

CONCLUSIONS

Structural topic modeling effectively detects task categories, prevalence, and shifts, providing opportunities for healthcare providers to reconsider staff roles and to optimize workflows and resource allocation.

Burnout in Surgical Trainees: a Narrative Review of Trends, Contributors, Consequences and Possible Interventions

Surgical disciplines are popular and training places are competitive to obtain, but trainees report higher levels of burnout than either their non-surgical peers or attending or consultant surgeons. In this review, we critically summarise evidence on trends and changes in burnout over the past decade, contributors to surgical trainee burnout, the personal and professional consequences of burnout and consider the evidence for interventions. There is no evidence for a linear increase in burnout levels in surgeons over the past decade but the impact of the COVID-19 pandemic has yet to be established and is likely to be significant. Working long hours and experiencing stressful interpersonal interactions at work are associated with higher burnout in trainees but feeling more supported by training programmes and receiving workplace supervision are associated with reduced burnout. Burnout is associated with poorer overall mental and physical well-being in surgical trainees and has also been linked with the delivery of less safe patient care in this group. Useful interventions could include mentorship and improving work conditions, but there is a need for more and higher quality studies.