Changing the Face of an Institution: Creative Partnerships for Women’s Professional Development

Purpose of program/study/research:To accelerate the advancement of women professionals at an academic medical center through creative collaboration. Methodology (including study design, analysis, and evaluation):The UMass Medical School Women’s Faculty Committee (WFC) initiated a partnership with the medical library to compete successfully to host the traveling exhibition “Changing the Face of Medicine: Celebrating America’s Women Physicians.” Concurrent with the 6-week exhibition, fifteen events brought local and nationally prominent women together for mentoring activities, an original dramatic production, and an awards luncheon for women faculty. Women featured in the exhibit as well as its Visiting Curator spoke at UMMS about their research and career challenges, read from their published works, and were featured at graduation and a regional medical society event. Results:Application-writing and event planning sessions forged robust working relationships among top-ranking administrators, senior and junior faculty, and staff. The exhibition increased opportunities for administration, faculty, and students to understand the impact of women in medicine, their leadership potential, and historical contributions. It also generated new mentor/mentee relationships and grant-writing collaborations. The exhibition’s national recognition helped draw a larger, more diverse and gender-balanced audience (575+ people) to the events enhancing the visibility of the WFC, as evidenced by institutional funding for women faculty to attend the AAMC WIM professional development workshops and ELAM for the first time. Conclusion(s):Creative partnerships, motivated by the opportunity to host “Changing the Face of Medicine,” produced greater than expected gains for women faculty, generating new awareness and understanding of women’s accomplishments and leadership potential. This partnership allowed for a wide range of multi-disciplinary efforts, strengthening networking across silos, and advancing the goals of women in an academic medical center. Presented October 29, 2006 at AAMC 2006 Annaul Meeting, Seattle, WA

Eat Walk Sleep Discuss: Building a Multi-Dimensional Participatory Relationship

A multi-faceted relationship has developed between UMass Worcester and the Worcester Refugee Assistance Project (WRAP). The relationship has its roots in student engagement, and has grown to include faculty, students and community members in a range of community-based participatory activities, which can be shaped in response to needs as they are identified and defined. This poster describes the different ways student engagement and community partnerships worked together in a research project

The Role of Relationships in the Professional Formation of Physicians

BACKGROUND: Studies of the professional development of physicians highlight the important effect that the learning environment, or \ hidden curriculum,\ has in shaping student attitudes, behaviors, and values. We conducted this study to better understand the role that relationships have in mediating these effects of the hidden curriculum. [See PDF for complete abstract

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk–outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. Findings: Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7–9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4–9·2]), smoking (5·7% [4·7–6·8]), low birthweight and short gestation (5·6% [4·8–6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8–6·0]). For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9–21·7] for high BMI and 7·9% [3·3–12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6–1·9) for high BMI and 1·3% (1·1–1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4–78·8) for child growth failure and 66·3% (60·2–72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). Interpretation: Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Teaching and medical errors: primary care preceptors\u27 views.

PURPOSE: To assess primary care preceptors\u27 perceptions of the issues involved in teaching when medical errors occur. In particular, we examined preceptors\u27 responses to trainees involved in medical errors, factors influencing their response, and their perceptions of barriers to teaching from medical errors. METHODS: A total of 38 primary care preceptors participated in 7 focus groups on teaching and medical errors. Participants were drawn from medical schools throughout the northeastern USA. Content analysis of transcripts identified major themes. RESULTS: We developed a framework describing how preceptors and learners respond to medical errors, the factors that influence these responses, and the relationships between these. We also identified barriers to teaching from medical errors. Preceptors are especially sensitive to learners\u27 distress as a result of errors. Emotional distress and self-doubt are seen as inimical to learning, possibly causing more attention to be directed to emotional support than to correction and instruction. At the same time, accepting responsibility for errors was seen as prerequisite to learning. For many preceptors, vivid recollections of their own errors during training were influential in determining how they in turn responded as preceptors; none reported having received training in this area. CONCLUSION: This study describes preceptors\u27 experiences of responding to trainees\u27 medical errors, and identifies barriers to teaching from errors. The intersection of patient safety and medical education is a critical area for future research. We propose a framework that may help guide future research efforts, which should focus on identifying factors that promote faculty development to optimise learning and reduce the likelihood of future errors

Factors influencing preceptors\u27 responses to medical errors: a factorial survey.

BACKGROUND: Preceptors must respond to trainees\u27 medical errors, but little is known about what factors influence their responses. METHOD: A total of 115 primary care preceptors from 16 medical schools responded to two medical error vignettes involving a trainee. Nine trainee-related factors were randomly varied. Preceptors indicated whether they would discuss what led to the error, provide reassurance, share responsibility, express disappointment, and adjust their written evaluation of the trainee. RESULTS: Almost all preceptors would discuss what led to the error; relatively few would express disappointment. The trainee\u27s prior history of errors, knowledge level relative to peers, receptivity to feedback, training level, emotional reaction, offering to apologize, and offering an excuse were predictive of preceptors\u27 responses; gender and time-in-office were not. CONCLUSION: This study identified seven trainee-related factors as predictive of preceptors\u27 responses to medical errors. More research is needed to identify other influential factors, and to improve teaching from medical errors

How patients perceive a doctor\u27s caring attitude

OBJECTIVE: Caring is closely associated with reduced malpractice litigation, adherence to treatment and even symptom relief. Caring also is included in pay for performance formulas as well as widely utilized for quality improvement purposes. Our objective in this prospective qualitative study was to define caring behaviors associated with three challenging encounters: discussing the transition from curative to palliative care, delivering bad news (cancer), and discussing a medical error (misplaced test result). The purpose was to lay the groundwork for the creation of a \u27patient-centered\u27 caring attitude checklist that could help the healthcare provider understand and ultimately enhance the patient\u27s experience of care. METHODS: Groups of randomly selected lay people, henceforth referred to as patients: (1) engaged in \u27think aloud\u27 exercises to help create a 15-item caring behavior checklist; (2) used the checklist to rate videotapes of simulated challenging encounters conducted by twenty primary care physicians (total of 600 ratings sets); and (3) participated in 12 separate 1.5 h focus groups discussing the caring (and non-caring) behaviors exhibited in videotapes of the highest and lowest rated encounters. RESULTS: Thirteen behaviors emerged as focal for describing a doctor\u27s caring attitude but with disagreement as to whether specific examples of these behaviors were \u27caring\u27 or \u27uncaring.\u27 For example, although the concept of empathic inquiry was considered important by most patients, the physician question, Is there someone you can call or talk with (about a cancer diagnosis) was interpreted by one patient as \u27very caring\u27 while another was \u27impressed with how uncaring\u27 the statement appeared. CONCLUSION: At the conceptual level there is a set of behaviors that represent caring, however, the manifestation of these behaviors is \u27in the eye of the beholder.\u27 The most important element of caring may not be the set of behaviors but a set of underlying abilities that include taking the patient\u27s perspective and reflecting on the patient\u27s responses. PRACTICE IMPLICATIONS: Medical education must focus on the underlying abilities of caring

Reliability and validity of checklists and global ratings by standardized students, trained raters, and faculty raters in an objective structured teaching environment

BACKGROUND: Objective structured teaching exercises (OSTEs) are relatively new in medical education, with few studies that have reported reliability and validity. PURPOSE: To systematically examine the impact of OSTE design decisions, including number of cases, choice of raters, and type of scoring systems used. METHODS: We examined the impact of number of cases and raters using generalizability theory. We also compared scores from standardized students (SS), faculty raters (FR) and trained graduate student raters (TR), and examined the relation between behavior checklist ratings and global perception scores. RESULTS: Generalizability (g) coefficients for checklist scores were higher for SSs than TRs. The g estimates based on SSs\u27 global scores were higher than g estimates for FRs. SSs\u27 checklist scores were higher than TRs\u27 checklist scores, and SSs\u27 global evaluations were higher than FRs\u27 and TRs\u27 global scores. TRs\u27 relative to SSs\u27 global perceptions correlated more highly with checklist scores. CONCLUSIONS: SSs provide more generalizable checklist scores than TRs. Generalizability estimates for global scores from SSs and FRs were comparable. SSs are lenient raters compared to TRs and FRs