Burnout, employee engagement, and changing organizational contexts in VA primary care during the early COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic involved a rapid change to the working conditions of all healthcare workers (HCW), including those in primary care. Organizational responses to the pandemic, including a shift to virtual care, changes in staffing, and reassignments to testing-related work, may have shifted more burden to these HCWs, increasing their burnout and turnover intent, despite their engagement to their organization. Our objectives were (1) to examine changes in burnout and intent to leave rates in VA primary care from 2017-2020 (before and during the pandemic), and (2) to analyze how individual protective factors and organizational context affected burnout and turnover intent among VA primary care HCWs during the early months of the pandemic. METHODS: We analyzed individual- and healthcare system-level data from 19,894 primary care HCWs in 139 healthcare systems in 2020. We modeled potential relationships between individual-level burnout and turnover intent as outcomes, and individual-level employee engagement, perceptions of workload, leadership, and workgroups. At healthcare system-level, we assessed prior-year levels of burnout and turnover intent, COVID-19 burden (number of tests and deaths), and the extent of virtual care use as potential determinants. We conducted multivariable analyses using logistic regression with standard errors clustered by healthcare system controlled for individual-level demographics and healthcare system complexity. RESULTS: In 2020, 37% of primary care HCWs reported burnout, and 31% reported turnover intent. Highly engaged employees were less burned out (OR = 0.57; 95% CI 0.52-0.63) and had lower turnover intent (OR = 0.62; 95% CI 0.57-0.68). Pre-pandemic healthcare system-level burnout was a major predictor of individual-level pandemic burnout (p = 0.014). Perceptions of reasonable workload, trustworthy leadership, and strong workgroups were also related to lower burnout and turnover intent (p < 0.05 for all). COVID-19 burden, virtual care use, and prior year turnover were not associated with either outcome. CONCLUSIONS: Employee engagement was associated with a lower likelihood of primary care HCW burnout and turnover intent during the pandemic, suggesting it may have a protective effect during stressful times. COVID-19 burden and virtual care use were not related to either outcome. Future research should focus on understanding the relationship between engagement and burnout and improving well-being in primary care.

Telework Arrangements and Physician Burnout in the Veterans Health Administration.

This survey study of physicians in the Veterans Health Administration examines the association of burnout with various telework arrangements.

Enhanced recovery after surgery (ERAS) for vascular surgery: an evidence map and scoping review.

BACKGROUND: Enhanced recovery after surgery (ERAS) interventions aim to improve patient outcomes. Vascular surgery patients have unique requirements and it is unclear which ERAS interventions are supported by an evidence base. METHODS: We conducted a scoping review to identify ERAS randomized controlled trials (RCTs) published in the biomedical or nursing literature. We assessed interventions for applicability to vascular surgery and differentiated interventions given at preadmission, preoperative, intraoperative, and postoperative surgery stages. We documented the research in an evidence map. RESULTS: We identified 76 relevant RCTs. Interventions were mostly administered in preoperative (23 RCTs; 30%) or intraoperative surgery stages (35 RCTs; 46%). The majority of studies reported mortality outcomes (44 RCTs; 58%), but hospital (27 RCTs; 35%) and intensive care unit (9 RCTs; 12%) length of stay outcomes were less consistently described. CONCLUSION: The ERAS evidence base is growing but contains gaps. Research on preadmission interventions and more consistent reporting of key outcomes is needed.

Veterans Health Administration (VA) vs. Non-VA Healthcare Quality: A Systematic Review.

BACKGROUND: The Veterans Health Administration (VA) serves Veterans in the nation's largest integrated healthcare system. VA seeks to provide high quality of healthcare to Veterans, but due to the VA Choice and MISSION Acts, VA increasingly pays for care outside of its system in the community. This systematic review compares care provided in VA and non-VA settings, and includes published studies from 2015 to 2023, updating 2 prior systematic reviews on this topic. METHODS: We searched PubMed, Web of Science, and PsychINFO from 2015 to 2023 for published literature comparing VA and non-VA care, including VA-paid community care. Records were included at the abstract or full-text level if they compared VA medical care with care provided in other healthcare systems, and included clinical quality, safety, access, patient experience, efficiency (cost), or equity outcomes. Data from included studies was abstracted by two independent reviewers, with disagreements resolved by consensus. Results were synthesized narratively and via graphical evidence maps. RESULTS: Thirty-seven studies were included after screening 2415 titles. Twelve studies compared VA and VA-paid community care. Most studies assessed clinical quality and safety, and studies of access were second most common. Only six studies assessed patient experience and six assessed cost or efficiency. Clinical quality and safety of VA care was better than or equal to non-VA care in most studies. Patient experience in VA care was better than or equal to experience in non-VA care in all studies, but access and cost/efficiency outcomes were mixed. DISCUSSION: VA care is consistently as good as or better than non-VA care in terms of clinical quality and safety. Access, cost/efficiency, and patient experience between the two systems are not well studied. Further research is needed on these outcomes and on services widely used by Veterans in VA-paid community care, like physical medicine and rehabilitation.

Changes in Burnout and Moral Distress Among Veterans Health Administration (VA) Physicians Before and During the COVID-19 Pandemic.

BACKGROUND: We investigated the impacts of workload, resources, organizational satisfaction, and psychological safety on changes in physician burnout and moral distress among physicians during the early pandemic. METHODS: We obtained national administrative and survey data on burnout, moral distress, organizational satisfaction, psychological safety, COVID-19 burden, and state-level restrictions for 11,877-14,246 Veterans Health Administration (VA) physicians from 2019 and 2020. We regressed the changes in burnout and moral distress on the changes in reasonable workload, appropriate job resources, organizational satisfaction, and psychological safety, controlling for COVID-19 burden and restrictions, and individual and medical center characteristics. RESULTS: Burnout and moral distress were not related to COVID-19 cases or restrictions but were reduced by improvements in workload, organizational satisfaction, and psychological safety. CONCLUSIONS: Health systems should be conscious of factors that can harm or improve physician well-being, especially in the context of external stressors.

Differences in lymphoma patients between chimeric antigen receptor T-cell therapy trials and the general population.

Chimeric antigen receptor (CAR)-T cell therapies appear to be promising treatments for non-Hodgkin's and B-cell lymphoma. However, several CAR-T therapies approved by the US Food and Drug Administration have only been tested for efficacy in relatively few single-arm clinical trials with small sample sizes. We sought to examine the differences between patients in these trials and the general population of patients with non-Hodgkin's and B-cell lymphoma. Five hundred and twenty-two patients from 15 CAR-T trials found in a systematic review and 417,492 patients from the Surveillance, Epidemiology, and End Results (SEER) Program database were compared. CAR-T study participants appeared to be younger (46.7% under 70 years old vs. 42.2%), more male (68.0% vs. 55.7%), and followed for a shorter period of time compared to patients in the SEER population (mean [M] 45.6 months, 95% confidence interval [CI] 17.7 to 63.3 months follow-up vs. M 57.1 months, 95% CI 57.0 to 57.3 months survival). CAR-T study participants may differ significantly from the general population of patients with non-Hodgkin's and B-cell lymphoma. Effectiveness of CAR-T therapies in the general population of lymphoma patients may differ from effectiveness demonstrated in trials. Newly created CAR-T patient registries are essential to establishing population-level effectiveness of the therapies.

Gender Differences in the Relationship Between Workplace Civility and Burnout Among VA Primary Care Providers.

BACKGROUND: Civility, or politeness, is an important part of the healthcare workplace, and its absence can lead to healthcare provider and staff burnout. Lack of civility is well-documented among mostly female nurses, but is not well-described among the gender-mixed primary care provider (PCP) workforce. Understanding civility and its relationship to burnout among male and female PCPs could help lead to tailored interventions to improve civility and reduce burnout in primary care. OBJECTIVE: To analyze gender differences in civility, burnout, and the relationship between civility and burnout among male and female PCPs. DESIGN: Multi-level logistic regression analysis of a cross-sectional national survey. PARTICIPANTS: A total of 3216 PCP respondents (1946 women and 1270 men) in 135 medical centers from a 2019 national Veterans Health Administration (VA) survey. MAIN MEASURES: Outcomes: burnout; predictors: workplace civility and gender; controls: race, ethnicity, VA tenure, and supervisory status. KEY RESULTS: Workplace civility was rated higher (p<0.001) among male (mean = 4.07, standard deviation [SD] = 0.36, range 1-5) compared to female (mean = 3.88, SD = 0.33) PCPs. Almost half of the sample reported burnout (47.6%), but this difference was not significant (p = 0.73) between the genders. Higher workplace civility was significantly related to lower burnout among female PCPs (odds ratio [OR] = 0.46, 95% confidence interval [CI] = 0.31 to 0.69), but not among male PCPs (OR = 0.71, 95% CI = 0.42 to 1.22). Interactions between civility and other demographic variables (race, ethnicity, VA tenure, or supervisory status) were not significantly related to burnout. CONCLUSION: Female PCPs report lower workplace civility than male PCPs. An inverse relationship between civility and burnout is present for women but not men. More research is needed on this phenomenon. Interventions tailored to gender- and primary care-specific needs should be employed to increase civility and reduce burnout among PCPs.

Differences in Burnout and Intent to Leave Between Women's Health and General Primary Care Providers in the Veterans Health Administration.

BACKGROUND: Although they are a minority of patients served by the Veterans Health Administration (VHA), women Veterans comprise a fast-growing segment of these patients and have unique clinical needs. Women's health primary care providers (WH-PCPs) are specially trained and designated to provide care for women Veterans. Prior work has demonstrated that WH-PCPs deliver better preventative care and have more satisfied patients than PCPs without the WH designation. However, due to unique clinical demands or other factors, WH-PCPs may experience more burnout and intent to leave practice than general PCPs in the VHA. OBJECTIVE: To examine differences in burnout and intent to leave practice among WH and general PCPs in the VHA. DESIGN: Multi-level logistic regression analysis of three cross-sectional waves of PCPs within the VHA using the national All Employee Survey and practice data (2017-2019). We modeled outcomes of burnout and intent to leave practice as a function of WH provider designation, gender, and other demographics and practice characteristics, such as support staff ratio, panel size, and setting. PARTICIPANTS: A total of 7903 primary care providers (5152 general PCPs and 2751 WH-PCPs; response rates: 63.9%, 65.7%, and 67.5% in 2017, 2018, and 2019, respectively). MAIN MEASURES: Burnout and intent to leave practice. KEY RESULTS: WH-PCPs were more burned out than general PCPs (unadjusted: 55.0% vs. 46.9%, p<0.001; adjusted: OR=1.29, 95% confidence interval [CI] 1.10-1.55) but did not have a higher intention to leave (unadjusted: 33.4% vs. 32.1%, p=0.27; adjusted: OR=1.07, CI 0.81-1.41). WH-PCPs with intentions to leave were more likely to select the response option of "job-related (e.g., type of work, workload, burnout, boredom)" as their primary reason to leave. CONCLUSIONS: Burnout is higher among WH-PCPs compared to general PCPs, even after accounting for provider and practice characteristics. More research on causes of and solutions for these differences in burnout is needed.

An evidence map of treatments for infantile epilepsy.

Epilepsy prevalence is high among infants, but treatment guidelines are not clear. We conducted a scoping review of interventions to manage epilepsy in infants, and identified 37 studies. Most studies reported that interventions were effective (22 studies; 76 %), but randomized controlled trials were uncommon (7 studies; 19 %) and sample sizes were small (range: 2 to 284 participants; mean: 69.4; 95 % confidence interval: 49.5, 89.2). Additional high quality research and systematic reviews on interventions for infantile epilepsy are needed to establish better treatment guidelines for the disease.

Sleep management in posttraumatic stress disorder: a systematic review and meta-analysis.

OBJECTIVE: Post-traumatic stress disorder (PTSD) can lead to many negative secondary outcomes for patients, including sleep disturbances. The objective of this meta-analysis is (1) to evaluate the effect of interventions for adults with PTSD on sleep outcomes, PTSD outcomes, and adverse events, and (2) to evaluate the differential effectiveness of interventions aiming to improve sleep compared to those that do not. METHODS: Nine databases were searched for relevant randomized controlled trials (RCTs) in PTSD from January 1980 to October 2019. Two independent reviewers screened 7176 records, assessed 2139 full-text articles, and included 89 studies in 155 publications for this review. Sleep, PTSD, and adverse event outcomes were abstracted and meta-analyses were performed using the Hartung-Knapp-Sidik-Jonkman method for random effects. RESULTS: Interventions improved sleep outcomes (standardized mean difference [SMD] -0.56; confidence interval [CI] -0.75 to -0.37; 49 RCTs) and PTSD symptoms (SMD -0.48; CI -0.67 to -0.29; 44 RCTs) across studies. Adverse events were not related to interventions overall (RR 1.17; CI 0.91 to 1.49; 15 RCTs). Interventions targeting sleep improved sleep outcomes more than interventions that did not target sleep (p = 0.03). Improvement in PTSD symptoms did not differ between intervention types. CONCLUSIONS: Interventions for patients with PTSD significantly improve sleep outcomes, especially interventions that specifically target sleep. Treatments for adults with PTSD directed towards sleep improvement may benefit patients who suffer from both ailments.

Association between care coordination tasks with non-VA community care and VA PCP burnout: an analysis of a national, cross-sectional survey.

BACKGROUND: The scope of care coordination in VA primary care increased with the launch of the Veterans Choice Act, which aimed to increase access through greater use of non-VA Community Care. These changes may have overburdened already busy providers with additional administrative tasks, contributing to provider burnout. Our objective was to understand the role of challenges with care coordination in burnout. We analyzed relationships between care coordination challenges with Community Care reported by VA primary care providers (PCPs) and VA PCP burnout. METHODS: Our cross-sectional survey contained five questions about challenges with care coordination. We assessed whether care coordination challenges were associated with two measures of provider burnout, adjusted for provider and facility characteristics. Models were also adjusted for survey nonresponse and clustered by facility. Trainee and executive respondents were excluded. 1,543 PCPs in 129 VA facilities nationwide responded to our survey (13 % response rate). RESULTS: 51 % of our sample reported some level of burnout overall, and 46 % reported feeling burned out at least once a week. PCPs were more likely to be burned out overall if they reported more than average challenges with care coordination (odds ratio [OR] 2.04, 95 % confidence interval [CI] 1.58 to 2.63). These challenges include managing patients with outside prescriptions or obtaining outside tests or records. CONCLUSIONS: VA primary care providers who reported greater than average care coordination challenges were more likely to be burned out. Interventions to improve care coordination could help improve VA provider experience.

Framing clinical and translational science: Examining the strategic social media communications of NCATS-funded CTSAs.

INTRODUCTION: Many Clinical and Translational Science Awards (CTSAs) focus their energy on operational aspects of running their hub, but may not devote enough energy and resources toward branding and effective communication. However, CTSAs have an important mission when it comes to communicating effectively with their stakeholders through social media. Using framing theory as the underpinning, the purpose of this content analysis is to investigate the ways in which CTSAs use Twitter to communicate with their various stakeholders, the type of content they post, and the type of engagement their tweets garner. METHODS: We examined 349 tweets posted from January 2019 to January 2020 from 19 CTSA Twitter accounts (sampled from a total of 35 CTSA accounts). A thematic codebook was generated using tweets randomly chosen from the sample. Content analysis was performed on the entire tweet sample by four coders using the codebook (alpha = 0.89). RESULTS: CTSAs tweeted the most about events (29.8%), and the least about study recruitment (2.01%). Most tweets included images (59.31%) and hashtags (51.29%), but received little user engagement on the average post (average: 4.38 likes and 1.94 retweets). CTSAs tweeted most from 10 a.m. to 12 p.m. PST and received the most engagement. Most CTSAs had a dedicated person (e.g., manager, coordinator) handling their communications. DISCUSSION: Our analysis shows multiple opportunities for CTSAs to engage with stakeholders and the public, as well as standardize and improve their Twitter communications to effectively reach a broader audience.

Burnout Among Primary Care Healthcare Workers During the COVID-19 Pandemic.

OBJECTIVE: To measure the prevalence of burnout among healthcare workers (HCWs) in primary care during the COVID-19 pandemic and to understand the association between burnout, job-person fit, and perceptions of the pandemic. METHODS: We surveyed 147 HCWs (73% response rate) in two clinics in the summer of 2020 on their burnout, job-person fit, perceptions of the pandemic, and demographic/job characteristics. Logistic regression analyses were conducted to explore relationships between these variables. RESULTS: Forty-three percent of HCWs reported burnout. Lower HCW burnout was associated with better job-person fit in the areas of recognition or appreciation at work (odds ratio [OR] 0.26, 95% confidence interval [CI] 0.10 to 0.67) and congruent worker-organization goals and values (OR 0.30, 95% CI 0.11 to 0.76). CONCLUSIONS: Working environments with better job-person fit may be key to reducing HCW burnout even after the current crisis.

The Use of Technology in the Clinical Care of Anxiety: An Evidence Map.

OBJECTIVE: Cost, distance, and stigma may present barriers to face-to-face treatment for anxiety disorders. Technology can help overcome these barriers. The evidence map presented here provides an overview of technology use in clinical care for anxiety. METHODS: Searches in three databases from their inception dates to June 2019 identified published randomized controlled trials (RCTs) examining technology use in anxiety disorder management. Reviewers screened 4,061 records, included 128 RCTs, and extracted data on study characteristics and technology type, function, and effectiveness. RESULTS: In 88% of the 128 RCTs, the authors reported reduced anxiety symptoms postintervention. Studies of computer technology (66%) and patient self-directed psychotherapy (31%) were most common. Many interventions were studied by only a few RCTs, and many studies had small sample sizes. CONCLUSIONS: Almost all interventions reported improved anxiety symptoms, with computer applications having the largest evidence base. More information is needed to evaluate the role of technology in clinical care for anxiety.

An evidence map of randomised controlled trials evaluating genetic therapies.

OBJECTIVES: Genetic therapies replace or inactivate disease-causing genes or introduce new or modified genes. These therapies have the potential to cure in a single application rather than treating symptoms through repeated administrations. This evidence map provides a broad overview of the genetic therapies that have been evaluated in randomised controlled trials (RCTs) for efficacy and safety. ELIGIBILITY CRITERIA: Two independent reviewers screened publications using predetermined eligibility criteria. Study details and data on safety and efficacy were abstracted from included trials. Results were visualised in an evidence map. INFORMATION SOURCES: We searched PubMed, EMBASE, Web of Science, ClinicalTrials.gov and grey literature to November 2018. RISK OF BIAS: Only RCTs were included in this review to reduce the risk of selection bias in the evaluation of genetic therapy safety and efficacy. INCLUDED STUDIES: We identified 119 RCTs evaluating genetic therapies for a variety of clinical conditions. SYNTHESIS OF RESULTS: On average, samples included 107 participants (range: 1-1022), and were followed for 15 months (range: 0-124). Interventions using adenoviruses (40%) to treat cardiovascular diseases (29%) were the most common. DESCRIPTION OF THE EFFECT: In RCTs reporting safety and efficacy outcomes, in the majority (60%) genetic therapies were associated with improved symptoms but in nearly half (45%) serious adverse event (SAEs) were also reported. Improvement was reported in trials treating cancer, cardiovascular, ocular and muscular diseases. However, only 19 trials reported symptom improvement for at least 1 year. STRENGTHS AND LIMITATIONS OF EVIDENCE: This is the first comprehensive evidence map of RCTs evaluating the safety and efficacy of genetic therapies. Evidence for long-term effectiveness and safety is still sparse. This lack of evidence has implications for the use, ethics, pricing and logistics of genetic therapies. INTERPRETATION: This evidence map provides a broad overview of research studies that allow strong evidence statements regarding the safety and efficacy of genetic therapies. Most interventions improve symptoms, but SAE are also common. More research is needed to evaluate genetic therapies with regard to the potential to cure diseases.

Association Between Difficulty with VA Patient-Centered Medical Home Model Components and Provider Emotional Exhaustion and Intent to Remain in Practice.

BACKGROUND: The patient-centered medical home (PCMH) model is intended to improve primary care, but evidence of its effects on provider well-being is mixed. Investigating the relationships between specific PCMH components and provider burnout and potential attrition may help improve the efficacy of the care model. OBJECTIVE: We analyzed provider attitudes toward specific components of PCMH in the Veterans Health Administration (VA) and their relation to emotional exhaustion (EE)-a central component of burnout-and intent to remain in VA primary care. DESIGN: Logistic regression analysis of a cross-sectional survey. SUBJECTS: 116 providers (physicians; nurse practitioners; physician assistants) in 21 practices between September 2015 and January 2016 in one VA region. MAIN MEASURES: Outcomes: burnout as measured with the emotional exhaustion (EE) subscale of the Maslach Burnout Inventory and intent to remain in VA primary care for the next 2 years; predictors: difficulties with components of PCMH, demographic characteristics. KEY RESULTS: Forty percent of providers reported high EE (≥ 27 points) and 63% reported an intent to remain in VA primary care for the next 2 years. Providers reporting high difficultly with PCMH elements were more likely to report high EE, for example, coordinating with specialists (odds ratio [OR] 8.32, 95% confidence interval [CI] 3.58-19.33), responding to EHR alerts (OR 6.88; 95% CI 1.93-24.43), and managing unscheduled visits (OR 7.53, 95% CI 2.01-28.23). Providers who reported high EE were also 87% less likely to intend to remain in VA primary care. CONCLUSIONS: To reduce EE and turnover in PCMH, primary care providers may need additional support and training to address challenges with specific aspects of the model.

What Is the Optimal Primary Care Panel Size?: A Systematic Review.

Background: Primary care for a panel of patients is a central component of population health, but the optimal panel size is unclear. Purpose: To review evidence about the association of primary care panel size with health care outcomes and provider burnout. Data Sources: English-language searches of multiple databases from inception to October 2019 and Google searches performed in September 2019. Study Selection: English-language studies of any design, including simulation models, that assessed the association between primary care panel size and safety, efficacy, patient-centeredness, timeliness, efficiency, equity, or provider burnout. Data Extraction: Independent, dual-reviewer extraction; group consensus rating of certainty of evidence. Data Synthesis: Sixteen hypothesis-testing studies and 12 simulation modeling studies met inclusion criteria. All but 1 hypothesis-testing study were cross-sectional assessments of association. Three studies each provided low-certainty evidence that increasing panel size was associated with no or modestly adverse effects on patient-centered and effective care. Eight studies provided low-certainty evidence that increasing panel size was associated with variable effects on timely care. No studies assessed the effect of panel size on safety, efficiency, or equity. One study provided very-low-certainty evidence of an association between increased panel size and provider burnout. The 12 simulation studies evaluated 5 models; all used access as the only outcome of care. Five and 2 studies, respectively, provided moderate-certainty evidence that adjusting panel size for case mix and adding clinical conditions to the case mix resulted in better access. Limitation: No studies had concurrent comparison groups, and published and unpublished studies may have been missed. Conclusion: Evidence is insufficient to make evidence-based recommendations about the optimal primary care panel size for achieving beneficial health outcomes. Primary Funding Source: Veterans Affairs Quality Enhancement Research Initiative.

The Use of Technology in the Clinical Care of Depression: An Evidence Map.

OBJECTIVE: Depression is a highly prevalent clinical condition. The use of technologies in the clinical care of depressive disorders may increase the reach of clinical services for these disorders and support more comprehensive treatment. The objective of this evidence map is to provide an overview of the use of technology in the clinical care of depression. DATA SOURCES: We searched PubMed, PsycINFO, and the Web of Science from inception to June 2017 to identify published randomized controlled trials (RCTs). STUDY SELECTION: Two reviewers used predetermined eligibility criteria to review 4,062 records and include 161 RCTs that met our inclusion criteria. We include studies evaluating any type of treatment-related technology in the clinical care of depression. DATA EXTRACTION: We extracted data on sample sizes, the type of technology examined, the function of that technology, the effectiveness of the technology, and publication year. RESULTS: Out of 161 RCTs, we found the greatest amount of research for psychotherapy by computer (51 RCTs). The majority of studies were published after 2012 (94 RCTs; 58%). Few published studies involved videoconferences or smartphones, or provider feedback or auto-reminders. 145 studies (90%) reported that the intervention had a positive outcome of symptom improvement compared to baseline. CONCLUSIONS: This evidence map provides a broad overview of the existing research evaluating technology in depression care. Computer applications are still most common. Almost all applications yield symptom improvement. More information is needed to evaluate the role of technology in clinical care.

Differences in Physician Income by Gender in a Multiregion Survey.

BACKGROUND: Previous studies have documented income differences between male and female physicians. However, the implications of these differences are unclear, since previous studies have lacked detailed data on the quantity and composition of work hours. We sought to identify the sources of these income differences using data from a novel survey of physician work and income. OBJECTIVE: To compare differences in income between male and female physicians. DESIGN: We estimated unadjusted income differences between male and female physicians. We then adjusted these differences for total hours worked, composition of work hours, percent of patient care time spent providing procedures, specialty, compensation type, age, years in practice, race, ethnicity, and state and practice random effects. PARTICIPANTS: We surveyed 656 physicians in 30 practices in six states and received 439 responses (67% response rate): 263 from males and 176 from females. MAIN MEASURE: Self-reported annual income. KEY RESULTS: Male physicians had significantly higher annual incomes than female physicians (mean $297,641 vs. $206,751; difference $90,890, 95% CI $27,769 to $154,011) and worked significantly more total hours (mean 2470 vs. 2074; difference 396, 95% CI 250 to 542) and more patient care hours (mean 2203 vs. 1845; difference 358, 95% CI 212 to 505) per year. Male physicians were less likely than female physicians to specialize in primary care (49.1 vs. 70.5%), but more likely to perform procedures with (33.1 vs. 15.5%) or without general anesthesia (84.3 vs. 73.1%). After adjustment, male physicians' incomes were $27,404 (95% CI $3120 to $51,688) greater than female physicians' incomes. CONCLUSIONS: Adjustment for multiple possible confounders, including the number and composition of work hours, can explain approximately 70% of unadjusted income differences between male and female physicians; 30% remains unexplained. Additional study and dedicated efforts might be necessary to identify and address the causes of these unexplained differences.

A systematic review of St. John's wort for major depressive disorder.

BACKGROUND: This systematic review evaluated St. John's wort (SJW) for the treatment of Major Depressive Disorder (MDD). The objectives of this review are to (1) evaluate the efficacy and safety of SJW in adults with MDD compared to placebo and active comparator and (2) evaluate whether the effects vary by severity of MDD. METHODS: We searched PubMed, CINAHL, PsycINFO, CENTRAL, Embase, AMED, MANTIS, Web of Science, and ICTRP and existing reviews to November 2014. Two independent reviewers screened the citations, abstracted the data, and assessed the risk of bias. We included randomized controlled trials (RCTs) examining the effect of at least a 4-week administration of SJW on depression outcomes against placebo or active comparator in adults with MDD. Risk of bias was assessed using the Cochrane Risk of Bias tool and USPSTF criteria. Quality of evidence (QoE) was assessed using the GRADE approach. RESULTS: Thirty-five studies examining 6993 patients met inclusion criteria; eight studies evaluated a hypericum extract that combined 0.3 % hypericin and 1-4 % hyperforin. The herb SJW was associated with more treatment responders than placebo (relative risk [RR] 1.53; 95 % confidence interval [CI] 1.19, 1.97; I(2) 79 %; 18 RCTs; N = 2922, moderate QoE; standardized mean differences [SMD] 0.49; CI 0.23, 0.74; 16 RCTs; I(2) 89 %, N = 2888, moderate QoE). Compared to antidepressants, SJW participants were less likely to experience adverse events (OR 0.67; CI 0.56, 0.81; 11 RCTs; moderate QoE) with no difference in treatment effectiveness (RR 1.01; CI 0.90, 1.14; 17 RCTs, I(2) 52 %, moderate QoE; SMD -0.03; CI -0.21, 0.15; 14 RCTs; I(2) 74 %; N = 2248, moderate QoE) in mild and moderate depression. CONCLUSIONS: SJW monotherapy for mild and moderate depression is superior to placebo in improving depression symptoms and not significantly different from antidepressant medication. However, evidence of heterogeneity and a lack of research on severe depression reduce the quality of the evidence. Adverse events reported in RCTs were comparable to placebo and fewer compared with antidepressants. However, assessments were limited due to poor reporting of adverse events and studies were not designed to assess rare events. Consequently, the findings should be interpreted with caution. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42015016406 .