Pharmacologic Treatment of Obesity in Reproductive Aged Women.

Purpose of Review: This report will review existing literature on weight loss outcomes for various anti-obesity medications (AOMs) as well as their effects on human fertility, pregnancy, or breastfeeding. Recent Findings: There is a paucity of research on the effects of AOMs on human pregnancy and fertility. The majority of AOMs are not recommended during pregnancy and breastfeeding due to known or unclear risks of harm to offspring. Summary: As the prevalence of obesity rises, AOMs have proven to be effective tools for weight loss in the general adult population. When prescribing AOMs to reproductive-aged women, providers should consider both the cardiometabolic benefits of these medications and potential effects that AOMs might have on hormonal contraception, pregnancy, or breastfeeding. Animal studies in rats, rabbits, and monkeys have suggested teratogenic effects of several medications discussed in this report. However, a lack of data on the use of many AOMs during human pregnancy or lactation makes it difficult to comment on the safety of their use in these time periods. Some AOMs show promise in promoting fertility while others might decrease the efficacy of oral contraceptives, highlighting some of the special considerations that must be taken when prescribing AOMs to reproductive-aged women. More research into the risks and benefits of AOMs in the context of reproductive-aged women's unique healthcare needs is an important step in improving this population's access to effective treatments for obesity.

Quantifying rural disparity in healthcare utilization in the United States: Analysis of a large midwestern healthcare system.

PURPOSE: The objective of this study is to identify how predisposing characteristics, enabling factors, and health needs are jointly and individually associated with epidemiological patterns of outpatient healthcare utilization for patients who already interact and engage with a large healthcare system. METHODS: We retrospectively analyzed electronic medical record data from 1,423,166 outpatient clinic visits from 474,674 patients in a large healthcare system from June 2018-March 2019. We evaluated patients who exclusively visited rural clinics versus patients who exclusively visited urban clinics using Chi-square tests and the generalized estimating equation Poisson regression methodology. The outcome was healthcare use defined by the number of outpatient visits to clinics within the healthcare system and independent variables included age, gender, race, ethnicity, smoking status, health status, and rural or urban clinic location. Supplementary analyses were conducted observing healthcare use patterns within rural and urban clinics separately and within primary care and specialty clinics separately. FINDINGS: Patients in rural clinics vs. urban clinics had worse health status [χ2 = 935.1, df = 3, p<0.0001]. Additionally, patients in rural clinics had lower healthcare utilization than patients in urban clinics, adjusting for age, race, ethnicity, gender, smoking, and health status [2.49 vs. 3.18 visits, RR = 0.61, 95%CI = (0.55,0.68), p<0.0001]. Further, patients in rural clinics had lower utilization for both primary care and specialty care visits. CONCLUSIONS: Within the large healthcare system, patients in rural clinics had lower outpatient healthcare utilization compared to their urban counterparts despite having potentially elevated health needs reflected by a higher number of unique health diagnoses documented in their electronic health records after adjusting for multiple factors. This work can inform future studies exploring the roots and ramifications of rural-urban healthcare utilization differences and rural healthcare disparities.

Racial Disparities and Cardiometabolic Risk: New Horizons of Intervention and Prevention.

PURPOSE OF REVIEW: Cardiometabolic diseases are a leading cause of morbidity and mortality in the USA and disproportionately impact racial and ethnic minorities. Multiple factors contribute to this disparity including genetic and socioeconomic factors, the latter of which contributes to disparities both through systemic barriers such as healthcare access and by directly impacting metabolism through epigenetics and environment-related alterations in the gut microbiome. This review will discuss advances in medicine that can be used to identify, prognosticate, and treat cardiometabolic diseases, and how these may be used to address existing disparities. RECENT FINDINGS: There is growing research aimed at identifying novel cardiometabolic disease targets and expanding the use of existing pharmacotherapies based on comorbidities. Advances in metabolomics and genomics can give insight into an individual's unique biochemical profile, providing the means for earlier identification of disease and specific treatment targets. Moreover, developments in telehealth and related medical device technologies can expand access to underserved minority populations and improve control of chronic conditions such as diabetes and hypertension. Precision medicine may be integral to bridging the racial gap in cardiometabolic disease outcomes. Developments in genomics, metabolomics, wearable medical devices, and telehealth can result in personalized treatments for patients that account for the socioeconomic and genetic factors that contribute to poor health outcomes in minorities. As research in this field rapidly progresses, special efforts must be made to ensure inclusion of racial and ethnic minority populations in clinical research and equal access to all treatment modalities.

A stepped-wedge randomized trial protocol of a community intervention for increasing lung screening through engaging primary care providers (I-STEP).

Lung cancer screening with low-dose computed tomography (LDCT) reduces lung cancer mortality, yet few eligible high-risk patients receive it annually. This protocol describes a community-partnered intervention (Toolkit) designed to support primary care practices in making referrals for lung screening and guiding patients into appropriate screening pathways. This study uses a stepped-wedge implementation design. Screening centers are randomized by readiness level to enter the intervention phase in three-month "steps" with pre-intervention data serving as the control. The primary outcome is whether delivery of the Toolkit to primary care practices results in a monthly increase in number of initial LDCT screenings. Six participating centers will identify 10 practices and reach 2-3 providers per practice to train them to use the Toolkit. The Toolkit will address known barriers to screening and referral at the patient and provider levels and provide support for required elements of screening. Toolkit components include adaptable evidence-based interventions to maximize compatibility with workflows. We hypothesize that after nine months of intervention delivery, the number of initial screening per center will double. Involving 60 practices achieves 80% power at 5% level of significance. Implementation outcomes such as adoption, acceptability, feasibility, adaptation, and sustainability will be assessed through field-notes and activity logs. LDCT for lung cancer screening currently reaches a small fraction of eligible adults. To reach the full potential to reduce mortality, primary care practices are an important venue for increasing appropriate referrals. This multidisciplinary trial will encourage acceptability and sustainability by using local knowledge and promoting partnership between providers and patients. Trial registration: ClinicalTrials.gov, NCT03958253.