Non-parametric recurrent events analysis with BART and an application to the hospital admissions of patients with diabetes.

Much of survival analysis is concerned with absorbing events, i.e., subjects can only experience a single event such as mortality. This article is focused on non-absorbing or recurrent events, i.e., subjects are capable of experiencing multiple events. Recurrent events have been studied by many; however, most rely on the restrictive assumptions of linearity and proportionality. We propose a new method for analyzing recurrent events with Bayesian Additive Regression Trees (BART) avoiding such restrictive assumptions. We explore this new method via a motivating example of hospital admissions for diabetes patients and simulated data sets.

Using group model building to understand factors that influence childhood obesity in an urban environment.

BACKGROUND: Despite increased attention, conventional views of obesity are based upon individual behaviors, and children and parents living with obesity are assumed to be the primary problem solvers. Instead of focusing exclusively on individual reduction behaviors for childhood obesity, greater focus should be placed on better understanding existing community systems and their effects on obesity. The Milwaukee Childhood Obesity Prevention Project is a community-based coalition established to develop policy and environmental change strategies to impact childhood obesity in Milwaukee, Wisconsin. The coalition conducted a Group Model Building exercise to better understand root causes of childhood obesity in its community. METHODS: Group Model Building is a process by which a group systematically engages in model construction to better understand the systems that are in place. It helps participants make their mental models explicit through a careful and consistent process to test assumptions. This process has 3 main components: (1) assembling a team of participants; (2) conducting a behavior-over-time graphs exercise; and (3) drawing the causal loop diagram exercise. RESULTS: The behavior-over-time graph portion produced 61 graphs in 10 categories. The causal loop diagram yielded 5 major themes and 7 subthemes. CONCLUSIONS: Factors that influence childhood obesity are varied, and it is important to recognize that no single solution exists. The perspectives from this exercise provided a means to create a process for dialogue and commitment by stakeholders and partnerships to build capacity for change within the community.

Medical Student Views of the Affordable Care Act.

INTRODUCTION: With new insurance coverage under the Affordable Care Act (ACA) beginning in 2014 and the ever-changing practice of medicine, it is important to understand medical students' recent perspectives on health policy and reform. OBJECTIVE: This study describes the opinions, perceptions, and comprehension of the ACA and health care reform by a cross-section of medical students in Wisconsin. METHODS: A total of 578 students (35%) completed an original survey developed from previous surveys. RESULTS: Of those sampled, one-half identified as liberal or very liberal and 20% as conservative or very conservative. Respondents were split equally in their opinions of whether the United States or other nations had the highest quality care. One-half felt that faculty physicians and the media influenced their opinion of the ACA, while two-thirds felt that coursework and peers had no influence on their views. The vast majority sampled thought everyone is entitled to adequate medical care regardless of ability to pay and that physicians have a major responsibility to help reduce health care costs. A majority of liberal students and a minority of conservative students, supported the ACA. Personal and family experience as a patient influenced most liberals to support and most conservatives to oppose the ACA. One-half felt that medical school spent adequate time on health care policy education.

Incidence of behavior problems in toddlers and preschool children from families living in poverty.

Few studies have examined the incidence of behavior problems in toddlers and preschool children from families living in poverty. The available research suggests behavior problems occur at higher rates in children living in poverty and may have long-term negative outcomes if not identified and properly treated. This study included an ethnically representative sample of 357 children, five years of age and younger, from a diverse, low-income, urban area. All families' incomes met the federal threshold for living in poverty. Behavior problems were assessed by parent report through a questionnaire specifically designed for low-income families. Boys and younger children were reported as demonstrating a higher rate of externalizing behaviors than girls and older children. The overall rate of children scoring at least one standard deviation above the sample's mean for challenging behaviors was 17.4% and was not related to the child's gender, age or ethnicity. This study also sampled children's positive behaviors, which is unique in studies of behavior problems. Gender and age were not related to the frequency of reported positive behaviors. Ethnicity did influence scores on the positive scale. African American children appeared to present their parents more difficulty on items reflecting cooperative behaviors than Caucasian or Latino children. The implications of the study are discussed based on the recognized need for universal screening of behavior problems in young children and the small number professional training programs targeting the identification and treatment of early childhood behavior problems, despite the availability of evidence-based treatment programs tailored to young children in low-income families.

Asthma as a Risk Factor for Hospitalization in Children and Youth With COVID-19: A Retrospective Cohort Study.

BACKGROUND: Studies examining the association between asthma and hospitalization among children and youth with coronavirus disease 2019 (COVID-19) have yielded mixed results. Both asthma and COVID-19 hospitalization are characterized by racial, ethnic and socioeconomic disparities which also pattern geographically, yet no studies to date have adjusted for neighborhood context in the assessment of this association. METHODS: Mixed effects logistic regression was used to estimate the association between asthma and hospitalization due to COVID-19 in a sample of 28,997 children and youth diagnosed with COVID-19 in Milwaukee County, Wisconsin, from March 1, 2020, to May 31, 2022. Models adjusted for individual-level sociodemographic factors (age, gender, race, ethnicity and city/suburb residence) and season of diagnosis were examined as moderators. Random intercepts by census tract accounted for geographic variation in neighborhood factors and census tract-level measures of education, health and environment, and social and economic factors were assessed via childhood opportunity indices. RESULTS: Asthma history was statistically significantly associated with hospitalization due to COVID-19 among children and youth. Hospitalization rates varied statistically significantly by census tract, and results were unchanged after accounting for childhood opportunity indices and census tract. Season of diagnosis was not found to moderate the effect of asthma history on COVID-19 hospitalization. CONCLUSION: Our study suggests that asthma history is a risk factor for hospitalization in the context of COVID-19 infection among children and youth, warranting observation and follow-up of children with asthma as well as continued measures to prevent COVID-19 in this population.

Team science criteria and processes for promotion and tenure of Health Science University Faculty.

Although team science has expanded with far-reaching benefits, universities generally have not established criteria to recognize its value in faculty promotion and tenure. This paper recommends how institutions might weigh a faculty member's engagement in team science in the promotion and tenure process. Seventeen team science promotion and tenure criteria are recommended based on four sources - an evaluation framework, effectiveness metrics, collaborative influences, and authorship criteria. Suggestions are made for adaptation of the 17 criteria to committee guidelines, faculty team science portfolios, and the roles of individuals and institutions participating in large, cross-disciplinary research projects. Future research recommendations are advanced.

The Childhood Asthma Control Test: retrospective determination and clinical validation of a cut point to identify children with very poorly controlled asthma.

BACKGROUND: The Childhood Asthma Control Test (C-ACT) has demonstrated validity in classifying children aged 4 to 11 years as having either "well-controlled" or "not well-controlled" asthma. However, new asthma management guidelines distinguish 3 levels of asthma control. OBJECTIVE: We sought to determine a second cut point on the C-ACT to identify children with "very poorly controlled" asthma. METHODS: Binomial logistic regression was performed on data from 671 children. The specialist's rating of control was the criterion measure. Specialists' severity ratings, specialists' assessment of therapy, and FEV(1) percent predicted were used to assess the clinical validity of the cut point. RESULTS: A cut point of 12 was selected because it correctly classified the highest percentage of participants (66.3%) as having "very poorly controlled" (vs "not well controlled") asthma and demonstrated high specificity (89.8%) and moderate positive predictive value (69.1%). Children scoring 12 or less versus 13 to 19 had lower mean FEV(1) percent predicted (79.8% vs 92.6%, P = .0002) and were more frequently stepped up in therapy (72.9% vs 53.6%, P = .0131) and rated as having severe asthma (13.6% vs 4.5%, P = .0005). One month later, significant differences in C-ACT scores and lung function between these 2 groups persisted. The mean C-ACT score of participants classified as "very poorly controlled" was significantly lower than that of participants classified as "not well-controlled" (17.2 vs 20.3, respectively; P = .0001). CONCLUSION: A second cut point of 12 or less on the C-ACT identifies children with the lowest level of control, who are at risk for poorer outcomes, and is conceptually consistent with the classification of "very poorly controlled" asthma adopted by asthma management guidelines.

Student Leadership Development Initiative: Benefits of a Unique Medical Student Organization.

BACKGROUND: The Student Leadership Development Initiative was founded at the Medical College of Wisconsin to unite local physician leaders with Medical College of Wisconsin students to develop leadership skills and prepare for careers expanding beyond clinical practice. METHODS: An anonymous survey was distributed to 246 current and past Student Leadership Development Initiative participants, probing confidence in leadership skills, professional goals, and the perceived importance of leadership training. Feedback interviews were also conducted. RESULTS: Respondents reported improvement in areas such as compassion, leadership, and development of career goals. The perceived benefit for developing professional goals and compassion are positively related (P < 0.01) to the number of sessions attended. DISCUSSION: Survey results highlight the importance of leadership training in medical education and suggest an integration strategy for a successful leadership training platform.

Incorporating Community Engagement in Primary Care Research Training: Eleven-Year Outcomes.

BACKGROUND: In response to a local workforce need for community-engaged scholars, a community-based participatory research (CBPR) curriculum was incorporated into an established primary care research fellowship. The program prepares researchers to partner with at-risk communities to address root causes and cultural, linguistic, and systems barriers that contribute to health disparities. OBJECTIVES: To describe the context, design, implementation and evaluation of the Academic Fellowship in Primary Care and Community-Engaged Research. METHODS: The traditional primary care research curriculum was enhanced with expanded enrollment, including social scientists with complementary expertise to physician fellows; a structured CBPR seminar series; involvement of fellows in mentored community-academic partnership projects with progression to independence; and relevant teaching and mentoring experiences. EVALUATION: Between 2007 and 2016, 22 fellows enrolled, with 16 in the CBPR track. Fellows demonstrated significant prepost gain in self-assessed competency in CBPR. During their 2- to 3-year training period, each CBPR fellow developed at least one community-academic partnership project, and they collectively produced more than 50 articles and 70 regional or national presentations, and mentored 29 medical student projects. Graduates have assumed leadership positions in academia, and have improved institutional capacity for community-engaged research, teaching, and practice. CONCLUSIONS: Important factors related to success and feasibility of CBPR training within a 2- to 3-year timeframe were having dedicated, experienced faculty mentors with existing authentic, trusted community partners, and dedicated funding for new community-academic partnership projects. This model can prepare primary care researchers and teachers to genuinely collaborate with vulnerable communities to address important health priorities and advance health equity.

The effect of number of healthcare visits on study sample selection in electronic health record data.

INTRODUCTION: Few studies have addressed how to select a study sample when using electronic health record (EHR) data. OBJECTIVE: To examine how changing criterion for number of visits in EHR data required for inclusion in a study sample would impact one basic epidemiologic measure: estimates of disease period prevalence. METHODS: Year 2016 EHR data from three Midwestern health systems (Northwestern Medicine in Illinois, University of Iowa Health Care, and Froedtert & the Medical College of Wisconsin, all regional tertiary health care systems including hospitals and clinics) was used to examine how alternate definitions of the study sample, based on number of healthcare visits in one year, affected measures of disease period prevalence. In 2016, each of these health systems saw between 160,000 and 420,000 unique patients. Curated collections of ICD-9, ICD-10, and SNOMED codes (from CMS-approved electronic clinical quality measures) were used to define three diseases: acute myocardial infarction, asthma, and diabetic nephropathy). RESULTS: Across all health systems, increasing the minimum required number of visits to be included in the study sample monotonically increased crude period prevalence estimates. The rate at which prevalence estimates increased with number of visits varied across sites and across diseases. CONCLUSIONS: In addition to providing thorough descriptions of case definitions, when using EHR data authors must carefully describe how a study sample is identified and report data for a range of sample definitions, including minimum number of visits, so that others can assess the sensitivity of reported results to sample definition in EHR data.

Student Leadership Development Initiative: A Pilot for a Sustainable, Replicable Model for Incorporating Leadership into Medical Education.

INTRODUCTION: Today's medical students are tomorrow's leaders. As leadership training becomes incorporated into undergraduate medical education, there is a need for validated educational models that are both effective and replicable. METHODS: Between April 2017 and October 2017, groups of 15 to 20 medical students participated in sessions with an exemplary physician leader incorporating a guided interview format and discussion about her or his career. Prepared questions ensured leadership domains were covered. The program was evaluated using a post-session survey. RESULTS: One hundred percent of survey respondents (N = 58) reported that the session was a good use of time. Seventy-eight percent felt more prepared to lead a team; 93% learned specific ways to improve their leadership skills. DISCUSSION: This leadership program is a unique model to provide leadership education to medical students that is both effective and replicable.

Use of secondary clinical data for research related to diabetes self-management education.

BACKGROUND: Diabetes self-management education (DSME) is a key component of ensuring optimal diabetes outcomes. Electronic medical record (EMR) systems have transformed diabetes management by providing organized and useful data. However, important gaps remain in the process of how practice settings track referrals and attendance to DSME. PURPOSE: The purpose of this study was to use EMR data to examine patients' demographic, behavioral, and diabetes risk factors by referral pattern to a DSME program in a large midwestern Academic Medical Center. METHODS: A retrospective cross-sectional design using 2006-2013 EMR data from a Clinical Research Data Warehouse (CRDW). Data on 10,000 patients with type 2 diabetes mellitus (T2DM) were randomly extracted from the CRDW for analysis. Multiple logistic regression analysis was employed to explore adjusted associations with referral to DSME. RESULTS: Seven hundred forty patients with T2DM were referred to DSME. Results show that age at diagnosis, insurance status, race/ethnicity, language, alcohol use, use of insulin, HbA1c, LDL, systolic blood pressure, ophthalmology appointment, coronary artery disease, neuropathy, diabetic-retinopathy, and nephropathy were found to be factors significantly associated with a referral to DSME. Language emerged as a significant result; non-English speakers were more likely to receive a referral to DSME. CONCLUSIONS: Patients referred for DSME had appropriate medical complications or social needs that would benefit from intensive education; however, there remains a considerable opportunity for improving the DSME referral process. Aspects of the physician decision-making process to refer or not refer patients to DSME warrant further investigation.

Genetic aspects of the etiology and treatment of asthma.

This article provides a clinical review of the genetic aspects of the etiology and treatment of asthma for pediatric practitioners who are experienced in asthma diagnosis and management but lack expertise in genetics and immunology. Asthma is caused by the interaction of genetic susceptibility with environmental factors. The asthmatic response is characterized by elevated production of IgE, cytokines, and chemokines; mucus hypersecretion; airway obstruction; eosinophilia; and enhanced airway hyperreactivity to spasmogens. The genes most clearly associated with asthma include disintegrin and metalloprotease ADAM-33, dipeptidyl peptidase 10, PHD finger protein 11, and the prostanoid DP1 receptor. Within a few years, practitioners may apply sophisticated knowledge of cell and molecular biology to expand pharmacotherapeutic approaches and to personalize diagnosis and management.

Engaging health care providers in coalition activities.

Health care providers play a key role in promoting and participating in asthma coalition activities. Barriers to participation include lack of time, concern about coalition effectiveness, and unfamiliarity with community-based approaches to health issues. Despite this, the Allies Against Asthma coalitions were successful at involving health care providers in leadership roles, on advisory committees, and as research and clinical experts. Successful engagement strategies included presentation of data illustrating need for improved asthma care, identification of clinicians who were involved in caring for children with uncontrolled asthma, and education regarding the added value of a coalition and benefits of participation. Despite barriers to participation, health care providers felt that their participation in asthma coalitions helped them to develop collaborative relationships with other agencies, increase their professional knowledge and skills with regard to asthma management, and improve access to priority populations.

Childhood asthma surveillance by community coalitions.

Multiple benefits can accrue when community coalitions conduct asthma surveillance activities. Surveillance data are used to identify children with asthma, assess disease burden and needs in the community, understand the illness and risk factors, identify children with asthma who are undertreated, plan community interventions, evaluate the effect of interventions, and monitor trends. These data, which are used to inform coalition and program decisions and to evaluate asthma interventions, can also be used to strengthen state and national asthma surveillance efforts and to inform clinical practice and public health policies. Local coalition data collection represents a complementary approach to national asthma surveillance, allowing action at the local level and showing how local findings vary from national observations. The Allies Against Asthma coalitions developed several practical means to conduct childhood asthma surveillance that informed coalition efforts and facilitated innovative linkages among government officials, health care providers, community agencies, families, and academicians and/or researchers.

Improving quality of care and promoting health care system change: The role of community-based coalitions.

As part of their community action plans, the Allies Against Asthma coalitions have developed efforts to improve quality of care and promote health care system change. All the coalitions have used an interdisciplinary collaborative approach to design these strategies and demonstrated a range of intervention approaches appropriate to their local context and circumstances. The coalitions' collective experience suggests that coalitions provide three key forces for quality improvement and change that may be lacking in the current fragmented U.S. health care system--motivation to change the status quo, integration across systems, and accountability for results. The collaborative and empowering processes that a coalition model encourages and the direct advocacy opportunity provided to the consumer appear to bring these forces into play.

The coalition process at work: Building care coordination models to control chronic disease.

Asthma is a highly prevalent and frequently misunderstood chronic disease with significant morbidity. Integrating client services at the patient-centered level and using coalitions to build coordinated, linked systems to affect care may improve outcomes. All seven Allies Against Asthma coalitions identified inefficient, inconsistent, and/or fragmented care as issues for their communities. In response, the coalitions employed a collaborative process to identify and address problems related to system fragmentation and to improve coordination of care. Each coalition developed a variety of interventions related to its specific needs and assets, stakeholders, stage of coalition formation, and the dynamic structure of its community. Despite common barriers in forming alliances with busy providers and their staff, organizing administrative structures among interinstitutional cultures, enhancing patient and/or family involvement, interacting with multiple insurers, and contending with health system inertia, the coalitions demonstrated the ability to produce coordinated improvements to existing systems of care.

From formation to action: How allies against asthma coalitions are getting the job done.

Coalitions develop in and recycle through stages. At each stage (formation, implementation, maintenance, and institutionalization), certain factors enhance coalition function, accomplishment of tasks, and progression to the next stage. The Allies Against Asthma coalitions assessed stages of development through annual member surveys, key informant interviews of 16 leaders from each site, and other evaluation tools. Results indicate all coalitions completed formation and implementation, six achieved maintenance, and five are in the institutionalization stage. Differences among coalitions can be attributed to their maturity and experience working within a coalition framework. Participants agreed that community mobilization around asthma would not have happened without coalitions. They attributed success to being responsive to community needs and developing comprehensive strategies, and they believed that partners' goals were more innovative and achievable than any institution could have created alone.

The Influence of Patient and Provider Communication on Diabetes Care Delivery.

PURPOSE: To elicit the perspective of patients with type 2 diabetes, specific to communication with providers and health care teams. METHODS: We conducted 21 focus groups with 115 adults in Midwestern primary care, endocrinology, and bariatric surgery clinics. Facilitators analyzed the transcripts using an iterative coding method. RESULTS: The themes of encouragement and motivation, relationship building, compassion, and communication preferences highlighted effective strategies consistent with the core components of patient-centered care. CONCLUSIONS: Patients and providers benefit from systems in which patients are efficiently and compassionately supported in self-management within their abilities and in partnership with their support networks.