Clinician Burnout Research Articles

Managing Eating Disorders Within Medicaid‐Funded Health Care Systems in California

ABSTRACTObjectiveThis study describes the current management of patients with eating disorders (EDs) served by publicly–funded Medicaid behavioral health systems.MethodBehavioral health leaders across nine counties in California met on a quarterly basis to share experiences, challenges, and lessons in the management of EDs within publicly–funded service systems. Detailed notes were taken, and a qualitative content analysis was undertaken to identify key themes.ResultsCounty leadership noted insufficient outpatient capacity and difficulty building capacity for ED treatment, in addition to extraordinary challenges when facilitating admission to out‐of‐network higher level of care programs, at significant expense. Several challenges were identified in building an internal ED workforce, including the fact that many providers weren't eager to treat EDs due to training burden, patient complexity, and high levels of clinician burnout. When a higher level of care was required due to lack of outpatient resources or patient symptom severity or complexity, leaders dedicated significant resources to identify and contract with an appropriate program and secure the necessary funds.DiscussionOur study supports the need for specialized ED treatment and case management, as well as standardized processes and centralized resources, in Medicaid‐managed care. Findings also indicate the importance of protecting against clinician burnout, possibly through reduced caseload expectations, financial incentives, or increased support. Future policy change could reduce administrative burden and clinician burnout by facilitating admission to and reimbursement for higher levels of care.

Electronic Health Record Documentation Burden Crowds Out Health Information Exchange Use By Primary Care Physicians.

Although electronic health record (EHR) documentation burden is known to be associated with reduced clinician well-being and burnout, it may have even worse unintended consequences if documentation work also crowds out other high-value EHR tasks. We examined this possibility by assessing the relationship between documentation burden and a high-value but optional EHR task: the use of health information exchange (HIE) to view patient records from outside organizations. Our study took advantage of an exogenous shock to documentation time: appointment no-shows. We found that documentation time had a strong impact on HIE use, with each additional hour spent documenting resulting in a 7.1percent reduction in the proportion of patients with an outside record viewed by the primary care physician seeing them that day. Our results point to the urgent need for policy makers to do more to reduce documentation burden.

Caregiver and Youth Characteristics That Influence Trust in Digital Health Platforms in Pediatric Care: Mixed Methods Study.

Combining patient-generated health data and digital health platforms may improve patient experience and population health, mitigate rising health care costs, reduce clinician burnout, and enable health equity. However, lack of trust may be a notable barrier to the data-sharing required by such platforms. Understanding sociodemographic, health, and personal characteristics will enable developers and implementers of such technologies to consider these in their technical design requirements. This study aims to understand relationships between sociodemographic characteristics of caregivers of children or adolescents and trust in and willingness to use digital platforms to store and share personal health information for clinical care and research. This study used a mixed methods approach, including surveys of caregivers of youth aged <18 years living in Canada or the United States and youth aged 16 to 17 years living in Canada, as well as web-based bulletin board discussions to further explore topics of trust in data sharing. Sociodemographic and survey data were tabulated and explored using proportional odds ordinal regression models. Comments from web-based group discussions were analyzed thematically using a coding approach to identify issues important to the participants. Survey data from 1128 caregivers (female participants: n=549, 48.7%; 36-50 years old: n=660, 58.5%; Canadian: n=603, 53.5%; urban population: n=494, 43.8%) were collected, of which 685 (60.7%) completed all questions. Data from 173 youth (female participants: n=73, 42.2%; urban population: n=94, 54.3%) were collected, of which 129 (74.6%) completed all questions, and data were available for analysis. Furthermore, among 40 participants, 23 (58%) caregivers contributed to the web-based discussion boards. Related to trust, living in a rural area (vs urban; odds ratio [OR] 0.66, 95% CI 0.46-0.95) resulted in lower concern for data privacy and security, while having an undergraduate (OR 1.82, 95% CI 1.30-2.55) or graduate degree (vs secondary or trade school; OR 2.50, 95% CI 1.68-3.73) resulted in higher levels of concern. Living with a chronic disease (OR 1.81, 95% CI 1.35-2.44) increased levels of concern regarding data privacy and security. Interestingly, those with chronic disease were more willing to use digital platforms for clinical care and share personal health information for not-for-profit research. Caregivers were most concerned about data breaches involving data from their children but also highlighted that digital platforms would allow for better coordination of care for their children. Our research confirms the willingness of caregivers and youth to use digital platforms for both clinical care delivery and research and suggests that the value of a digital platform may outweigh the risks of its use. Engagement of end users in co-designing such platforms has the potential to enhance digital trust. However, digital trust varies across sociodemographic groups; therefore, diverse end user engagement is necessary when designing digital applications.

Primary Care Informatics: Vitalizing the Bedrock of Health Care.

Primary care informatics (PCI) professionals address workflow and technology solutions in a wide spectrum of health, ranging from optimizing the experience of the individual patient in the clinic room to supporting the health of populations and augmenting the work of frontline primary care clinical teams. PCI overlaps uniquely with 2 disciplines with an impact on societal health-primary care and health informatics. Primary care is a gateway to health care access and aims to synthesize and coordinate numerous, complex elements of patients' health and medical care in a holistic manner. However, over the past 25 years, primary care has become a specialty in crisis: in a post-COVID-19 world, workforce shortages, clinician burnout, and continuing challenges in health care access all contribute to difficulties in sustaining primary care. Informatics professionals are poised to change this trajectory. In this viewpoint, we aim to inform readers of the discipline of PCI and its importance in the design, support, and maintenance of essential primary care services. Although this work focuses on primary care in the United States, which includes general internal medicine, family medicine, and pediatrics (and depending on definition, includes specialties such as obstetrics and gynecology), many of the principles outlined can also be applied to comparable health care services and settings in other countries. We highlight (1) common global challenges in primary care, (2) recent trends in the evolution of PCI (personalized medicine, population health, social drivers of health, and team-based care), and (3) opportunities to move forward PCI with current and emerging technologies using the 4Cs of primary care framework. In summary, PCI offers important contributions to health care and the informatics field, and there are many opportunities for informatics professionals to enhance the primary care experience for patients, families, and their care teams.

Pharmacogenomic augmented machine learning in electronic health record alerts: A health system-wide usability survey of clinicians.

Pharmacogenomic (PGx) biomarkers integrated using machine learning can be embedded within the electronic health record (EHR) to provide clinicians with individualized predictions of drug treatment outcomes. Currently, however, drug alerts in the EHR are largely generic (not patient-specific) and contribute to increased clinician stress and burnout. Improving the usability of PGx alerts is an urgent need. Therefore, this work aimed to identify principles for optimal PGx alert design through a health-system-wide, mixed-methods study. Clinicians representing multiple practices and care settings (N = 1062) in urban, rural, and underserved regions were invited to complete an electronic survey comparing the usability of three drug alerts for citalopram, as a case study. Alert 1 contained a generic warning of pharmacogenomic effects on citalopram metabolism. Alerts 2 and 3 provided patient-specific predictions of citalopram efficacy with varying depth of information. Primary outcomes included the System's Usability Scale score (0-100 points) of each alert, the perceived impact of each alert on stress and decision-making, and clinicians' suggestions for alert improvement. Secondary outcomes included the assessment of alert preference by clinician age, practice type, and geographic setting. Qualitative information was captured to provide context to quantitative information. The final cohort comprised 305 geographically and clinically diverse clinicians. A simplified, individualized alert (Alert 2) was perceived as beneficial for decision-making and stress compared with a more detailed version (Alert 3) and the generic alert (Alert 1) regardless of age, practice type, or geographic setting. Findings emphasize the need for clinician-guided design of PGx alerts in the era of digital medicine.

Artificial intelligence scribe: A new era in medical documentation

The high workloads involved in clinical documentation represent one of the major factors contributing to the significant escalation of clinician burnout. The emergence of artificial intelligence (AI) has provided new avenues for relieving this burden by automating certain tasks like clinical documentation through the generation of clinical notes from a transcript of a clinical encounter. The advances in large language models (LLMs) have led to the emergence of such startups, but they come with their own set of challenges, predominantly surrounding the concerns of documentation accuracy, completeness, and data security. These can be addressed with a multi-faceted approach which could include fine-tuning the currently available models; using domain-specific models and in-house AI systems to ensure data security; and involving smaller LLMs and clinicians in the development and implementation of such systems. We can imagine a future where these systems are deeply incorporated into electronic health records, providing not only automated clinical documentation but also improving Clinical Decision Support systems, research, and patient communication.

Validation of the Turkish Version of the Professional Fulfillment Index

Introduction: Clinician burnout represents a significant occupational hazard among physicians, with a notably high prevalence among emergency physicians. The Stanford Professional Fulfillment Index (PFI) was developed to comprehensively assess various aspects of doctors’ work experiences, including professional fulfillment. In this study we aimed to validate the Turkish version of the PFI (T-PFI), a 16-item instrument designed to measure physicians’ professional fulfillment and burnout. Methods: In this cross-sectional study, we validated the T-PFI in two phases. The initial phase involved translating and culturally adapting the original PFI into Turkish. We evaluated the content validity of the translated version using item and scale content validity indices (I-CVI and S-CVI, respectively). The validated T-PFI was then distributed among a broad cohort of emergency physicians via an online survey to further assess its reliability and validity. The assessment tools included Cronbach α, confirmatory factor analysis, and content validity indices. Results: Of 1,434 physicians who were sent the survey, 425 fully completed it (29.6%). There was an almost equal distribution of 215 females and 210 males. Only 9.6% of the participants reported high levels of professional fulfillment, whereas a significant majority (79.1%) were susceptible to burnout. The Cronbach α values for the professional fulfillment and overall burnout scales were 0.87 and 0.90, respectively. The content validity was confirmed by I-CVI values exceeding 0.80 and an S-CVI/average relevance of 0.92. The confirmatory factor analysis demonstrated an acceptable model fit after adjustments. Conclusion: The T-PFI is a reliable and valid tool for assessing professional fulfillment and burnout among emergency physicians in Turkey. Effective interventions to mitigate burnout are essential to improve physician well-being in Turkish healthcare settings.

General practitioner and nurse experiences of type 2 diabetes management and prescribing in primary care: a qualitative review following the introduction of funded SGLT2i/GLP1RA medications in Aotearoa New Zealand.

To explore the views of general practitioners (GPs) and nurses on type 2 diabetes (T2D) management, including the use of recently funded T2D medications in New Zealand (NZ) and their perceived barriers to providing optimal care. T2D is a significant health concern in NZ, particularly among Māori and Pacific adults. Characterised by prolonged hyperglycaemia, T2D is generally a progressive condition requiring long-term care. Semi-structured interviews were conducted between July and December 2022 with 21 primary care clinicians (10 GPs and 11 nurses/nurse prescribers) from nine different general practice clinics across the Auckland and Waikato regions of NZ. Framework analysis was conducted to identify common themes in clinicians' perceptions and experiences with T2D management. Three themes were identified: health-system factors, new medications, and solution-based approaches. Lack of clinician time, healthcare funding, staff shortages, and burn-out were identified as barriers to T2D management under health-system factors. The two newly funded medications, empagliflozin and dulaglutide, were deemed to be a positive change for T2D care in that they improved patient satisfaction and clinical outcomes, but several clinicians were hesitant to prescribe these medications. Participants suggested that additional education and specialist diabetes support would be helpful to inform optimal medication prescribing and that better use of a multi-disciplinary team (clinical and support staff) could support T2D care by reducing workload, addressing cultural gaps in healthcare delivery, and reducing burnout. An improved primary care work environment, including appropriate professional development to support prescribing of new medications and the value of collaboration with a non-regulated workforce, may be required to facilitate optimal T2D management in primary care. Future research should focus on interventions to increase support for both clinical teams and patients while adopting a culturally appropriate approach to increase patient satisfaction and improve health outcomes.

Clinician Perceptions of Family-Centered Care in Pediatric and Congenital Heart Settings

Family-centered care recognizes families as central to child health and well-being and prioritizes clinician collaboration with families to ensure optimal pediatric care and outcomes. Clinician interpersonal sensitivity and communication skills are key to this approach. To examine perceptions of and factors associated with family-centered care among clinicians working in pediatric and congenital heart care. In this cross-sectional study, participants from diverse clinical disciplines (pediatric cardiology, cardiothoracic surgery, nursing, anesthesia, neonatology, intensive care, psychology, and others), completed an online survey between June 2020 and February 2021. Participants included physicians, surgeons, nurses, and allied and mental health professionals at an Australian quaternary pediatric hospital network. Statistical analysis was performed from August 2022 to June 2023. Family-centered care across 4 domains (showing interpersonal sensitivity, treating people respectfully, providing general information, and communicating specific information) was measured using the validated Measure of Processes of Care for Service Providers. Clinician burnout (emotional exhaustion, depersonalization, and personal accomplishment), confidence responding to families' psychosocial needs, and psychological, clinical role, and sociodemographic factors were also assessed. Informed by theory, hierarchical linear regression was used to identify factors associated with family-centered care. There were 212 clinicians (177 women [84.3%]; 153 nurses [72.2%], 32 physicians [15.1%], 22 allied and mental health professionals [10.4%], 5 surgeons [2.3%]; 170 [80.2%] aged 20-49 years) who participated (55% response rate). Of the 4 family-centered care domains, scores for treating people respectfully were highest and associated with greater clinician confidence responding to families' psychosocial needs (effect size [β], 0.59 [95% CI, 0.46 to 0.72]; P < .001), lower depersonalization (β, 0.04 [95% CI, -0.07 to -0.01]; P = .02), and a greater sense of personal accomplishment at work (β, 0.02 [95% CI, 0.01 to 0.04]; P = 0.04). Greater interpersonal sensitivity was associated with greater confidence responding to families' psychosocial needs (β, 0.80 [95% CI, 0.62 to 0.97]; P < .001), a greater sense of personal accomplishment at work (β, 0.03 [95% CI, 0.01 to 0.05]; P = .04), and lower use of approach-based coping, such as problem-solving (β, 0.37 [95% CI, -0.71 to -0.02]; P = .04). In this cross-sectional study, burnout and confidence responding to families' psychosocial needs were associated with clinicians' perceptions of family-centered care. These findings suggest that targeted interventions to address these factors may benefit clinicians and also potentially strengthen the practice of family-centered care in pediatric and congenital heart settings.

"For the first time…I am seriously fighting burnout": clinician experiences with a challenging electronic health record transition.

The Department of Veterans Affairs (VA) is transitioning from its legacy electronic health record (EHR) to a new commercial EHR in a nationwide, rolling-wave transition. We evaluated clinician and staff experiences to identify strategies to improve future EHR rollouts. We completed a convergent mixed-methods formative evaluation collecting survey and interview data to measure and describe clinician and staff experiences. Survey responses were analyzed using descriptive statistics; interview transcripts were coded using a combination of a priori and emergent codes followed by qualitative content analysis. Qualitative and quantitative findings were compared to provide a more comprehensive understanding of participant experience. Employees of specialty and primary care teams at the first nationwide EHR transition site agreed to participate in our study. We distributed surveys at 1-month pre-transition, 2 months post-transition, and 10 months post-transition to each of the 68 identified team members and completed longitudinal interviews with 30 of these individuals totaling 122 semi-structured interviews. Interview participants reported profoundly disruptive experiences during the EHR transition that persisted at 1-year post implementation. Survey responses indicated training difficulties throughout the transition, and sharp declines (P ≤ .05) between pre- and post-go-live measures of EHR usability and increase in EHR burden that were perceived to be due in part to system inefficiencies, discordant positive messaging that initially ignored user challenges, and inadequate support for and attention to ongoing EHR issues. Participants described persistent high levels of stress associated with these disruptions. Our findings highlight strategies to improve employee experiences during EHR transitions: (1) working with Oracle Cerner to resolve known issues and improve usability; (2) role-based training with opportunities for self-directed learning; (3) peer-led support systems and timely feedback on issues; (4) messaging that responds to challenges and successes; and (5) continuous efforts to support staff with issues and address clinician and staff stress and burnout. Our findings provide relevant strategies to navigate future EHR transitions while supporting clinical teams.

Psychological safety is associated with better work environment and lower levels of clinician burnout.

Burnout is attributed to negative work environments and threatens patient and clinician safety. Psychological safety is the perception that the work environment is safe for interpersonal risk-taking and may offer insight into the relationship between the work environment and burnout. In this cross-sectional analysis of survey data from 621 nurse practitioners in California, we found that one-third (34%) experienced high burnout. Four factors in the work environment were negatively associated with burnout and positively associated with psychological safety. Significant mediation effects of psychological safety were observed on the relationships between each work environment factor and both emotional exhaustion and depersonalization. The largest mediation effects were observed on the total effects of Nurse Practitioner-Physician Relations and Practice Visibility on Emotional Exhaustion (37% and 32%, respectively) and Independent Practice and Support and NP-Administration Relations on Depersonalization (32% and 29%, respectively). We found, overall, that psychological safety decreased the strength of the negative relationship between work environment and burnout. We argue that research, practice, and policy efforts to mitigate burnout and improve the work environment should consider psychological safety as a metric for system-level well-being.

Artificial Intelligence in the Provision of Health Care: An American College of Physicians Policy Position Paper.

Internal medicine physicians are increasingly interacting with systems that implement artificial intelligence (AI) and machine learning (ML) technologies. Some physicians and health care systems are even developing their own AI models, both within and outside of electronic health record (EHR) systems. These technologies have various applications throughout the provision of health care, such as clinical documentation, diagnostic image processing, and clinical decision support. With the growing availability of vast amounts of patient data and unprecedented levels of clinician burnout, the proliferation of these technologies is cautiously welcomed by some physicians. Others think it presents challenges to the patient-physician relationship and the professional integrity of physicians. These dispositions are understandable, given the "black box" nature of some AI models, for which specifications and development methods can be closely guarded or proprietary, along with the relative lagging or absence of appropriate regulatory scrutiny and validation. This American College of Physicians (ACP) position paper describes the College's foundational positions and recommendations regarding the use of AI- and ML-enabled tools and systems in the provision of health care. Many of the College's positions and recommendations, such as those related to patient-centeredness, privacy, and transparency, are founded on principles in the ACP Ethics Manual. They are also derived from considerations for the clinical safety and effectiveness of the tools as well as their potential consequences regarding health disparities. The College calls for more research on the clinical and ethical implications of these technologies and their effects on patient health and well-being.

The Community Primary Care Champions Fellowship: a mixed methods evaluation of an interprofessional fellowship for physician assistants and physicians

BackgroundPrimary care in the US faces challenges with clinician recruitment, retention, and burnout, with further workforce shortages predicted in the next decade. Team-based care can be protective against clinician burnout, and opportunities for interprofessional education (IPE) on professional development and leadership could encourage primary care transformation. Despite an increasingly important role in the primary care workforce, IPE initiatives training physician assistants (PAs) alongside physicians are rare. We describe the design, curriculum, and outcomes from an interprofessional primary care transformation fellowship for community-based primary care physicians and PAs.MethodsThe Community Primary Care Champions (CPCC) Fellowship was a one-year, part-time fellowship which trained nine PAs, fourteen physicians, and a behavioralist with at least two years of post-graduate clinical experience in six content pillars: quality improvement (QI), wellness and burnout, mental health, social determinants of health, medical education, and substance use disorders. The fellowship included a recurring schedule of monthly activities in self-study, lectures, mentoring, and community expert evening discussions. Evaluation of the fellowship included pre, post, and one-year follow-up self-assessments of knowledge, attitudes, and confidence in the six content areas, pre- and post- wellness surveys, lecture and discussion evaluations, and midpoint and exit focus groups.ResultsFellows showed significant improvement in 24 of 28 self-assessment items across all content areas post-fellowship, and in 16 of 18 items one-year post-fellowship. They demonstrated reductions in emotional exhaustion and depersonalization post-fellowship and increased confidence in working in interprofessional teams post-fellowship which persisted on one-year follow-up assessments. All fellows completed QI projects and four presented their work at national conferences. Focus group data showed that fellows experienced collaborative, meaningful professional development that was relevant to their clinical work. They appreciated the flexible format and inclusion of interprofessional community experts in evening discussions.ConclusionsThe CPCC fellowship fostered an interprofessional community of practice that provided an effective IPE experience for physicians and PAs. The learning activities, and particularly the community expert discussions, allowed for a flexible, relevant experience, resulting in personal and professional growth along with increased confidence working within interprofessional teams.

The association between population health management tools and clinician burnout in the United States VA primary care patient-centered medical home

BackgroundTechnological burden and medical complexity are significant drivers of clinician burnout. Electronic health record(EHR)-based population health management tools can be used to identify high-risk patient populations and implement prophylactic health practices. Their impact on clinician burnout, however, is not well understood. Our objective was to assess the relationship between ratings of EHR-based population health management tools and clinician burnout.MethodsWe conducted cross-sectional analyses of 2018 national Veterans Health Administration(VA) primary care personnel survey, administered as an online survey to all VA primary care personnel (n = 4257, response rate = 17.7%), using bivariate and multivariate logistic regressions. Our analytical sample included providers (medical doctors, nurse practitioners, physicians’ assistants) and nurses (registered nurses, licensed practical nurses). The outcomes included two items measuring high burnout. Primary predictors included importance ratings of 10 population health management tools (eg. VA risk prediction algorithm, recent hospitalizations and emergency department visits, etc.).ResultsHigh ratings of 9 tools were associated with lower odds of high burnout, independent of covariates including VA tenure, team role, gender, ethnicity, staffing, and training. For example, clinicians who rated the risk prediction algorithm as important were less likely to report high burnout levels than those who did not use or did not know about the tool (OR 0.73; CI 0.61-0.87), and they were less likely to report frequent burnout (once per week or more) (OR 0.71; CI 0.60-0.84).ConclusionsBurned-out clinicians may not consider the EHR-based tools important and may not be using them to perform care management. Tools that create additional technological burden may need adaptation to become more accessible, more intuitive, and less burdensome to use. Finding ways to improve the use of tools that streamline the work of population health management and/or result in less workload due to patients with poorly managed chronic conditions may alleviate burnout. More research is needed to understand the causal directional of the association between burnout and ratings of population health management tools.

Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review.

The cognitive load theory suggests that completing a task relies on the interplay between sensory input, working memory, and long-term memory. Cognitive overload occurs when the working memory's limited capacity is exceeded due to excessive information processing. In health care, clinicians face increasing cognitive load as the complexity of patient care has risen, leading to potential burnout. Electronic health records (EHRs) have become a common feature in modern health care, offering improved access to data and the ability to provide better patient care. They have been added to the electronic ecosystem alongside emails and other resources, such as guidelines and literature searches. Concerns have arisen in recent years that despite many benefits, the use of EHRs may lead to cognitive overload, which can impact the performance and well-being of clinicians. We aimed to review the impact of EHR use on cognitive load and how it correlates with physician burnout. Additionally, we wanted to identify potential strategies recommended in the literature that could be implemented to decrease the cognitive burden associated with the use of EHRs, with the goal of reducing clinician burnout. Using a comprehensive literature review on the topic, we have explored the link between EHR use, cognitive load, and burnout among health care professionals. We have also noted key factors that can help reduce EHR-related cognitive load, which may help reduce clinician burnout. The research findings suggest that inadequate efforts to present large amounts of clinical data to users in a manner that allows the user to control the cognitive burden in the EHR and the complexity of the user interfaces, thus adding more "work" to tasks, can lead to cognitive overload and burnout; this calls for strategies to mitigate these effects. Several factors, such as the presentation of information in the EHR, the specialty, the health care setting, and the time spent completing documentation and navigating systems, can contribute to this excess cognitive load and result in burnout. Potential strategies to mitigate this might include improving user interfaces, streamlining information, and reducing documentation burden requirements for clinicians. New technologies may facilitate these strategies. The review highlights the importance of addressing cognitive overload as one of the unintended consequences of EHR adoption and potential strategies for mitigation, identifying gaps in the current literature that require further exploration.

Clinician Burnout and Effectiveness of Guideline-Recommended Psychotherapies

Clinician burnout has been associated with clinician outcomes, but the association with patient outcomes remains unclear. To evaluate the association between clinician burnout and the outcomes of patients receiving of guideline-recommended trauma-focused psychotherapies for posttraumatic stress disorder (PTSD). This cohort study was set at the US Veterans Affairs Health Care System and included licensed therapists who provided trauma-focused psychotherapies and responded to an online survey between May 2 and October 8, 2019, and their patients who initiated a trauma-focused therapy during the following year. Patient data were collected through December 31, 2020. Data were analyzed from May to September 2023. Therapists completing the survey reported burnout with a 5-point validated measure taken from the Physician Worklife Study. Burnout was defined as scores of 3 or more. The primary outcome was patients' clinically meaningful improvement in PTSD symptoms according to the PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition). Patient dropout, therapist adherence, and session spacing was assessed through electronic health records. Multivariable random-effects logistic regression examined the association of therapist burnout and clinically meaningful improvement, adjusted for case-mix. In this study, 165 of 180 (91.7%) therapists (89 [53.9%] female) completed the burnout measure and provided trauma-focused psychotherapies to 1268 patients (961 [75.8%] male) with outcome data. Fifty-eight (35.2%) therapists endorsed burnout. One third of patients (431 [34.0%]) met criterion for clinically meaningful improvement. Clinically meaningful improvement in PTSD symptoms was experienced by 120 (28.3%) of the 424 patients seen by therapists who reported burnout and 311 (36.8%) of the 844 patients seen by therapists without burnout. Burnout was associated with lower odds of clinically meaningful improvement (adjusted odds ratio [OR],0.63; 95% CI, 0.48-0.85). The odds of clinically meaningful improvement were reduced for patients who dropped out (OR, 0.15; 95% CI, 0.11-0.20) and had greater session spacing (OR, 0.80; 95% CI, 0.70-0.92). Therapist adherence was not associated with therapy effectiveness. Adjusting for dropout or session spacing did not meaningfully alter the magnitude of the association between burnout and clinically meaningful improvement. In this prospective cohort study, therapist burnout was associated with reduced effectiveness of trauma-focused psychotherapies. Studying when and how burnout affects patient outcomes may inform workplace interventions.

Clinician Well-Being and Burnout: Panel Interview with Tait Shanafelt, Lisa Rotenstein, and Christine Sinsky

Clinician Well-Being and Burnout: Panel Interview with Tait Shanafelt, Lisa Rotenstein, and Christine Sinsky

Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation

Clinical documentation in the electronic health record (EHR) has become increasingly burdensome for physicians and is a major driver of clinician burnout and dissatisfaction. Time dedicated to clerical activities and data entry during patient encounters also negatively affects the patient–physician relationship by hampering effective and empathetic communication and care. Ambient artificial intelligence (AI) scribes, which use machine learning applied to conversations to facilitate scribe-like capabilities in real time, has great potential to reduce documentation burden, enhance physician–patient encounters, and augment clinicians’ capabilities. The technology leverages a smartphone microphone to transcribe encounters as they occur but does not retain audio recordings. To address the urgent and growing burden of data entry, in October 2023, The Permanente Medical Group (TPMG) enabled ambient AI technology for 10,000 physicians and staff to augment their clinical capabilities across diverse settings and specialties. The implementation process leveraged TPMG’s extensive experience in large-scale technology instantiation and integration incorporating multiple training formats, at-the-elbow peer support, patient-facing materials, rapid-cycle upgrades with the technology vendor, and ongoing monitoring. In 10 weeks since implementation, the ambient AI tool has been used by 3,442 TPMG physicians to assist in as many as 303,266 patient encounters across a wide array of medical specialties and locations. In total, 968 physicians have enabled ambient AI scribes in ≥100 patient encounters, with one physician having enabled it to assist in 1,210 encounters. The response from physicians who have used the ambient AI scribe service has been favorable; they cite the technology’s capability to facilitate more personal, meaningful, and effective patient interactions and to reduce the burden of after-hours clerical work. In addition, early assessments of patient feedback have been positive, with some describing improved interaction with their physicians. Early evaluation metrics, based on an existing tool that evaluates the quality of human-generated scribe notes, find that ambient AI use produces high-quality clinical documentation for physicians’ editing. Further statistical analyses after AI scribe implementation also find that usage is linked with reduced time spent in documentation and in the EHR. Ongoing enhancements of the technology are needed and are focused on direct EHR integration, improved capabilities for incorporating medical interpretation, and enhanced workflow personalization options for individual users. Despite this technology’s early promise, careful and ongoing attention must be paid to ensure that the technology supports clinicians while also optimizing ambient AI scribe output for accuracy, relevance, and alignment in the physician–patient relationship.

Burnout, Compassion Fatigue, and the Long Haul of Caring for Long COVID.

The current landscape of clinician burnout is prompting the need for our health care system to revise its approach toward complex conditions such as long coronavirus disease (COVID), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and other postinfectious fatiguing illnesses (PIFIs). We discuss our efforts here at Family Health Center of San Diego (FHCSD) to help share insight and glean perspective from clinicians who have participated in our Centers for Disease Control and Prevention (CDC)-funded 3-year continuing professional development initiative. The Long COVID and Fatiguing Illness Recovery Program uses multidisciplinary team-based case consultation and peer-to-peer sharing of emerging best and promising practices (ie, teleECHO [Extension for Community Healthcare Outcomes]) to support the management of complex cases associated with long COVID, ME/CFS, and other PIFIs. We believe that this perspective captures a key moment in the trajectory of postpandemic clinician burnout and prompts further reflection and action from the health care system to improve clinician- and patient-level outcomes related to the care of patients with postinfectious fatiguing illnesses.

Narrative Medicine: The Power of Shared Stories to Enhance Inclusive Clinical Care, Clinician Well-Being, and Medical Education.

The COVID-19 pandemic exacerbated the problem of secondary trauma and moral injury for health care workers. This reality, together with the epidemic of social isolation and loneliness, has brought the mental health of health care practitioners and patients to the forefront of the national conversation. Narrative medicine is an accessible, diversity-honoring, low-cost, underutilized pedagogical framework with potentially revolutionary benefits for enhancing patient care, supporting the underserved, mitigating clinician burnout, and improving team dynamics. Herein, the authors review the literature on these benefits and then discuss methods for integrating narrative medicine into clinical care and medical education at the undergraduate and graduate levels as well as continuing medical education.