National Health Policy Leadership Program for General Internists.

INTRODUCTION: Early or mid-career physicians have few opportunities to participate in career development programs in health policy and advocacy with experiential and mentored training that can be incorporated into their busy lives. AIM: The Society of General Internal Medicine (SGIM) created the Leadership in Health Policy (LEAHP) program, a year-long career development program, to prepare participants with a sufficient depth of knowledge, skills, attitudes, and behaviors to continue to build mastery and effectiveness as leaders, advocates, and educators in health policy. We sought to evaluate the program's impact on participants' self-efficacy in the core skills targeted in the curriculum. SETTING/PARTICIPANTS: Fifty-five junior faculty and trainees across three scholar cohorts from 2017 to 2021. PROGRAM DESCRIPTION: Activities included workshops and exercises at an annual meeting, one-on-one mentorship, monthly webinars and journal clubs, interaction with policy makers, and completion of capstone projects. PROGRAM EVALUATION: Self-administered, electronic surveys conducted before and following the year-long program showed a significant improvement in mean self-efficacy scores for the total score and for each of the six domains in general knowledge, teaching, research, and advocacy in health policy. Compared to the baseline scores, after the program the total mean score increased from 3.1 to 4.1, an increase of 1.1 points on a 5-point Likert scale (95% CI: 0.9-1.3; Cohen's D: 1.7), with 61.4% of respondents increasing their mean score by at least 1 point. Responses to open-ended questions indicated that the program met scholars' stated needs to improve their knowledge base in health policy and advocacy skills. DISCUSSION: The LEAHP program provides an opportunity for mentored, experiential training in health policy and advocacy, can build the knowledge and amplify the scale of physicians engaged in health policy, and help move physicians from individual patient advocacy in the clinic to that of populations.

Primary Care-Based Cardiovascular Disease Risk Management After Adverse Pregnancy Outcomes: a Narrative Review.

Several common adverse pregnancy outcomes can reveal subclinical or latent cardiovascular disease (CVD) risk, transiently exposed through the physiologic stress of pregnancy. The year after pregnancy may be a singular opportunity to identify and initiate treatment for CVD risk, even before the onset of traditional CVD risk factors. However, clinical guidance regarding CVD risk management after adverse pregnancy outcomes is lacking. We therefore conducted a systematic review of US clinical practice guidelines and professional society recommendations to inform primary care-based CVD risk management after adverse pregnancy outcomes. We identified 13 relevant publications. While most recommendations were based on limited or weak evidence, we identified several areas of consensus. First, individuals with an adverse pregnancy outcome associated with future CVD are likely to benefit from CVD risk assessment-accompanied by education, counseling, and support for lifestyle modification-beginning within the first postpartum year. Second, among clinicians, clear and consistent documentation about adverse pregnancy outcomes and recommended follow-up is important to coordinate care after pregnancy. In addition, patients need to be informed about their pregnancy complications and associated CVD risks, so that they can make informed health care and lifestyle decisions. Finally, in general, CVD prevention in the year after an adverse pregnancy outcome focuses on lifestyle modification, reserving pharmacotherapy for the highest-risk patients and those with traditional CVD risk factors. While postpartum lifestyle interventions show promise for reducing CVD risk after adverse pregnancy outcomes, continued research to determine the optimal content, timing, and long-term effects of such interventions is needed.

The description and number of undiscovered mammal species.

Global species counts are a key measure of biodiversity and associated metrics of conservation. It is both scientifically and practically important to know how many species exist, how many undescribed species remain, and where they are found. We modify a model for the number of undescribed species using species description data and incorporating taxonomic information. We assume a Poisson distribution for the number of species described in an interval and use maximum likelihood to estimate parameter values of an unknown intensity function. To test the model's performance, we performed a simulation study comparing our method to a previous model under conditions qualitatively similar to those related to mammal species description over the last two centuries. Because our model more accurately estimates the total number of species, we predict that 5% of mammals remain undescribed. We applied our model to determine the biogeographic realms which hold these undescribed species.