Assessment of US Preventive Services Task Force Guideline-Concordant Cervical Cancer Screening Rates and Reasons for Underscreening by Age, Race and Ethnicity, Sexual Orientation, Rurality, and Insurance, 2005 to 2019.

Importance: Cervical cancer screening rates are suboptimal in the US. Population-based assessment of reasons for not receiving screening is needed, particularly among women from historically underserved demographic groups. Objective: To estimate changes in US Preventive Service Task Force guideline-concordant cervical cancer screening over time and assess the reasons women do not receive up-to-date screening by sociodemographic factors. Design, Setting, and Participants: This pooled population-based cross-sectional study used data from the US National Health Interview Survey from 2005 and 2019. A total of 20 557 women (weighted, 113.1 million women) aged 21 to 65 years without previous hysterectomy were included. Analyses were conducted from March 30 to August 19, 2021. Exposures: Sociodemographic factors, including age, race and ethnicity, sexual orientation, rurality of residence, and health insurance type. Main Outcomes and Measures: Primary outcomes were US Preventive Services Task Force guideline-concordant cervical cancer screening rates and self-reported primary reasons for not receiving up-to-date screening. For 2005, up-to-date screening was defined as screening every 3 years for women aged 21 to 65 years. For 2019, up-to-date screening was defined as screening every 3 years with a Papanicolaou test alone for women aged 21 to 29 years and screening every 3 years with a Papanicolaou test alone or every 5 years with high-risk human papillomavirus testing or cotesting for women aged 30 to 65 years. Population estimation included sampling weights. Results: Among 20 557 women (weighted, 113.1 million women) included in the study, most were aged 30 to 65 years (16 219 women; weighted, 86.3 million women [76.3%]) and had private insurance (13 571 women; weighted, 75.8 million women [67.0%]). With regard to race and ethnicity, 997 women (weighted, 6.9 million women [6.1%]) were Asian, 3821 women (weighted, 19.5 million women [17.2%]) were Hispanic, 2862 women (weighted, 14.8 million women [13.1%]) were non-Hispanic Black, 12 423 women (weighted, 69.0 million women [61.0%]) were non-Hispanic White, and 453 women (weighted, 3.0 million women [2.7%]) were of other races and/or ethnicities (including Alaska Native and American Indian [weighted, 955 000 women (0.8%)] and other single and multiple races or ethnicities [weighted, 2.0 million women (1.8%)]). In 2019, women aged 21 to 29 years had a significantly higher rate of overdue screening (29.1%) vs women aged 30 to 65 years (21.1%; P < .001). In both age groups, the proportion of women without up-to-date screening increased significantly from 2005 to 2019 (from 14.4% to 23.0%; P < .001). Significantly higher rates of overdue screening were found among those of Asian vs non-Hispanic White race and ethnicity (31.4% vs 20.1%; P = .01), those identifying as LGBQ+ (gender identity was not assessed because of a small sample) vs heterosexual (32.0% vs 22.2%; P < .001), those living in rural vs urban areas (26.2% vs 22.6%; P = .04), and those without insurance vs those with private insurance (41.7% vs 18.1%; P < .001). The most common reason for not receiving timely screening across all groups was lack of knowledge, ranging from 47.2% of women identifying as LGBQ+ to 64.4% of women with Hispanic ethnicity. Previous receipt of a human papillomavirus vaccine was not a primary reason for not having up-to-date screening (<1% of responses). From 2005 to 2019, among women aged 30 to 65 years, lack of access decreased significantly as a primary reason for not receiving screening (from 21.8% to 9.7%), whereas lack of knowledge (from 45.2% to 54.8%) and not receiving recommendations from health care professionals (from 5.9% to 12.0%) increased significantly. Conclusions and Relevance: This cross-sectional study found that cervical cancer screening that was concordant with US Preventive Services Task Force guidelines decreased in the US between 2005 and 2019, with lack of knowledge reported as the biggest barrier to receiving timely screening. Campaigns addressing patient knowledge and provider communication may help to improve screening rates, and cultural adaptation of interventions is needed to reduce existing disparities.

Annual wellness visits and care management before and after dialysis initiation.

INTRODUCTION: Demands of dialysis regimens may pose challenges for primary care provider (PCP) engagement and timely preventive care. This is especially the case for patients initiating dialysis adjusting to new logistical challenges and management of symptoms and existing comorbid conditions. Since 2011, Medicare has provided coverage for annual wellness visits (AWV), which are primarily conducted by PCPs and may be useful for older adults undergoing dialysis. METHODS: We used the OptumLabs® Data Warehouse to identify a cohort of 1,794 Medicare Advantage (MA) enrollees initiating dialysis in 2014-2017 and examined whether MA enrollees (1) were seen by a PCP during an outpatient visit and (2) received an AWV in the year following dialysis initiation. RESULTS: In the year after initiating dialysis, 93 % of MA enrollees had an outpatient PCP visit but only 24 % received an annual wellness visit. MA enrollees were less likely to see a PCP if they had Charlson comorbidity scores between 0 and 5 than those with scores 6-9 (odds ratio (OR) = 0.59, 95 % CI: 0.37-0.95), but more likely if seen by a nephrologist (OR = 1.60, 95 % CI: 1.01-2.52) or a PCP (OR = 15.65, 95 % CI: 9.26-26.46) prior to initiation. Following dialysis initiation, 24 % of MA enrollees had an AWV. Hispanic MA enrollees were less likely (OR = 0.57, 95 % CI: 0.39-0.84) to have an AWV than White MA enrollees, but enrollees were more likely if they initiated peritoneal dialysis (OR = 1.54, 95 % CI: 1.07-2.23) or had an AWV in the year before dialysis initiation (OR = 4.96, 95 % CI: 3.88-6.34). CONCLUSIONS: AWVs are provided at low rates to MA enrollees initiating dialysis, particularly Hispanic enrollees, and represent a missed opportunity for better care management for patients with ESKD. Increasing patient awareness and provider provision of AWV use among dialysis patients may be needed, to realize better preventive care for dialysis patients.

Effect of Intensive Versus Standard Blood Pressure Control on Stroke Subtypes.

[Figure: see text].

Impact on Health-Related Quality of Life after Different Aerobic Exercise Programs in Physically Inactive Adults with Overweight/Obesity and Primary Hypertension: Data from the EXERDIET-HTA Study.

Primary hypertension (HTN) and obesity are associated with a worse health-related quality of life (QoL). This research was carried out to analyze the health-related QoL measurements in a physically inactive and obese population with HTN (n = 253) in comparison to a HEALTHY sample (n = 30), to determine the HTN sample changes in QoL following different (high-volume moderate-intensity continuous training, high-volume high-intensity interval training (HIIT), low-volume HIIT) 16-week supervised aerobic exercise training (ExT) programs compared to attention control, and to assess the differences in QoL variables between the different ExT programs. The SF-36 questionnaire was used to assess health-related QoL. At baseline, HTN showed lower scores (p < 0.05) in physical function (88.6 vs. 99.2), general health (63.3 vs. 82.4), vitality (58.2 vs. 68.7), social functioning (88.5 vs. 95.2), and mental health (76.1 vs. 81.8) compared to HEALTHY. Following intervention, all HTN subgroups showed higher (p < 0.05) vitality, but physical functioning and general health significantly improved only in the ExT groups, with even better values in general health for both HIIT subgroups. Only the low-volume HIIT showed positive changes (p < 0.05) in social functioning (∆ = 6.9%) and mental health (∆ = 6.4%) domains after the intervention. These results highlight the important role of supervised exercise in improving physical and psychological health.

A COVID-19-Based Modified Epidemiological Model and Technological Approaches to Help Vulnerable Individuals Emerge from the Lockdown in the UK.

COVID-19 has shown a relatively low case fatality rate in young healthy individuals, with the majority of this group being asymptomatic or having mild symptoms. However, the severity of the disease among the elderly as well as in individuals with underlying health conditions has caused significant mortality rates worldwide. Understanding this variance amongst different sectors of society and modelling this will enable the different levels of risk to be determined to enable strategies to be applied to different groups. Long-established compartmental epidemiological models like SIR and SEIR do not account for the variability encountered in the severity of the SARS-CoV-2 disease across different population groups. The objective of this study is to investigate how a reduction in the exposure of vulnerable individuals to COVID-19 can minimise the number of deaths caused by the disease, using the UK as a case study. To overcome the limitation of long-established compartmental epidemiological models, it is proposed that a modified model, namely SEIR-v, through which the population is separated into two groups regarding their vulnerability to SARS-CoV-2 is applied. This enables the analysis of the spread of the epidemic when different contention measures are applied to different groups in society regarding their vulnerability to the disease. A Monte Carlo simulation (100,000 runs) along the proposed SEIR-v model is used to study the number of deaths which could be avoided as a function of the decrease in the exposure of vulnerable individuals to the disease. The results indicate a large number of deaths could be avoided by a slight realistic decrease in the exposure of vulnerable groups to the disease. The mean values across the simulations indicate 3681 and 7460 lives could be saved when such exposure is reduced by 10% and 20% respectively. From the encouraging results of the modelling a number of mechanisms are proposed to limit the exposure of vulnerable individuals to the disease. One option could be the provision of a wristband to vulnerable people and those without a smartphone and contact-tracing app, filling the gap created by systems relying on smartphone apps only. By combining very dense contact tracing data from smartphone apps and wristband signals with information about infection status and symptoms, vulnerable people can be protected and kept safer.

Validation of a Machine Learning Model to Predict Childhood Lead Poisoning.

Importance: Childhood lead poisoning causes irreversible neurobehavioral deficits, but current practice is secondary prevention. Objective: To validate a machine learning (random forest) prediction model of elevated blood lead levels (EBLLs) by comparison with a parsimonious logistic regression. Design, Setting, and Participants: This prognostic study for temporal validation of multivariable prediction models used data from the Women, Infants, and Children (WIC) program of the Chicago Department of Public Health. Participants included a development cohort of children born from January 1, 2007, to December 31, 2012, and a validation WIC cohort born from January 1 to December 31, 2013. Blood lead levels were measured until December 31, 2018. Data were analyzed from January 1 to October 31, 2019. Exposures: Blood lead level test results; lead investigation findings; housing characteristics, permits, and violations; and demographic variables. Main Outcomes and Measures: Incident EBLL (≥6 µg/dL). Models were assessed using the area under the receiver operating characteristic curve (AUC) and confusion matrix metrics (positive predictive value, sensitivity, and specificity) at various thresholds. Results: Among 6812 children in the WIC validation cohort, 3451 (50.7%) were female, 3057 (44.9%) were Hispanic, 2804 (41.2%) were non-Hispanic Black, 458 (6.7%) were non-Hispanic White, and 442 (6.5%) were Asian (mean [SD] age, 5.5 [0.3] years). The median year of housing construction was 1919 (interquartile range, 1903-1948). Random forest AUC was 0.69 compared with 0.64 for logistic regression (difference, 0.05; 95% CI, 0.02-0.08). When predicting the 5% of children at highest risk to have EBLLs, random forest and logistic regression models had positive predictive values of 15.5% and 7.8%, respectively (difference, 7.7%; 95% CI, 3.7%-11.3%), sensitivity of 16.2% and 8.1%, respectively (difference, 8.1%; 95% CI, 3.9%-11.7%), and specificity of 95.5% and 95.1% (difference, 0.4%; 95% CI, 0.0%-0.7%). Conclusions and Relevance: The machine learning model outperformed regression in predicting childhood lead poisoning, especially in identifying children at highest risk. Such a model could be used to target the allocation of lead poisoning prevention resources to these children.

Developing Primary Care-Based Recommendations for Social Determinants of Health: Methods of the U.S. Preventive Services Task Force.

The purpose of the U.S. Preventive Services Task Force (USPSTF) is to provide evidence-based recommendations on primary care screening, behavioral counseling, and preventive medications. A person's health is strongly influenced by social determinants of health, such as economic and social conditions; therefore, preventive recommendations that address these determinants would be ideal. However, differing social determinants have been proposed by a wide range of agencies and organizations, little prevention evidence is available, and responsible parties are in competition, all of which make the creation of evidence-based prevention recommendations for social determinants of health challenging. This article highlights social determinants already included in USPSTF recommendations and proposes a process by which others may be considered for primary care preventive recommendations. In many ways, incorporating social determinants of health into evidence-based recommendations is an evolving area. By reviewing the evidence on the effects of screening and interventions on social determinants relevant to primary care, the USPSTF will continue to provide recommendations on clinical preventive services to improve the health of all Americans.

[Impact of an antimicrobial stewardship program in a pediatric third level hospital in Panama]. / Impacto de un programa de optimización de uso de antimicrobianos en un hospital pediátrico de tercer nivel en Panamá.

BACKGROUND: Antimicrobial Stewardship Programs (ASP) focus in the appropriate use of antimicrobials to improve clinical results and minimize risk of adverse events. AIMS: To compare consumption and costs of antimicrobials before and after the establishment of an antimicrobial stewardship program and to describe the resistance proportion of priority bacteria. METHODS: Quasi-experimental, retrospective and prospective, descriptive and analytical study, to compare consumption and costs of antimicrobials in a pre- intervention period (2007-2010) and a post- intervention period (2011-2017). Additionally, a descriptive analysis of bacterial resistance from 2010 was performed. RESULTS: Gentamicin, vancomycin, meropenem, cefotaxime, ceftazidime and imipenem consumption decreased significantly in the post-intervention period compared to the pre-intervention period (p < 0.05) while consumption of amikacin, piperacillin/tazobactam, cefepime and levofloxacin increased significantly in the post-intervention period. The reduction in costs was not significant for gentamicin, vancomycin, meropenem, cefotaxime, ceftazidime and imipenem, meanwhile, costs increased for amikacin, piperacillin/tazobactam, cefepime and levofloxacin, but this was not significant. The isolation of Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus and Enterococcus faecalis decreased during the post-intervention period. CONCLUSION: The ASP showed a decrease in consumption and costs of some antimicrobials.

CAR T-cell treatment during the COVID-19 pandemic: Management strategies and challenges.

The pandemic of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is spreading rapidly across the world. Currently, the COVID-19 pandemic is affecting the continuity of essential routine healthcare services and procedures, including chimeric antigen receptor T-cell (CAR-T) therapy, a life-saving option for patients with relapsed/refractory (R/R) hematologic malignancies. Due to the rapid disease progression of hematological malignancies, there is an urgent need to manufacture and utilize CAR T-cells. However, CAR-T treatment has become extraordinarily challenging during this COVID-19 pandemic. Thus, many medical and technical factors must now be taken into consideration before, during, and after CAR-T therapy. The purpose of this review is to provide brief suggestions for rational decision-making strategies in evaluating and selecting CAR T-cell treatment and appropriate CAR T-cell products, and protective strategies for medical staff and patients to prevent infection in the midst of the current COVID-19 pandemic.

Implementation of a multilevel, multicomponent intervention for obesity control in Native American communities (OPREVENT2): challenges and lessons learned.

OPREVENT2 was a multilevel, multicomponent (MLMC) adult obesity prevention that sought to improve access and demand for healthier food and physical activity opportunities in six Native American communities in the Southwest and Midwest. OPREVENT2 worked with worksites, food stores, schools (grades 2-6), through social media and mailings, and with a local community action committee (CAC), in each of the three intervention communities, and was implemented in six phases. We conducted a process evaluation to assess implementation of each intervention component in terms of reach, dose delivered and fidelity. Implementation of each component was classified as high, medium or low according to set standards, and reported back at the end of each phase, allowing for improvements. The school and worksite components were implemented with high reach, dose delivered and fidelity, with improvement over time. The school program had only moderate reach and dose delivered, as did the social media component. The CAC achieved high reach and dose delivered. Overall, study reach and dose delivered reached a high implementation level, whereas fidelity was medium. Great challenges exist in the consistent implementation of MLMC interventions. The detailed process evaluation of the OPREVENT2 trial allowed us to carefully assess the relative strengths and limitations of each intervention component.

Intra- and inter- observer reliability of anthropometric measurements and blood pressure in primary schoolchildren and adults: the Feel4Diabetes-study.

BACKGROUND: Feel4Diabetes was a large-scale, multicenter lifestyle intervention aiming to prevent type 2 diabetes among families from vulnerable population groups in six European countries (Belgium, Bulgaria, Finland, Greece, Hungary and Spain). The current study aimed to describe the process that was followed to harmonize and standardize the measurement of anthropometric (weight, height and waist circumference) and blood pressure (systolic and diastolic) indices, as well as to assess the intra- and inter- observer reliability of these measurements. METHODS: A central training workshop was conducted prior to the baseline measurements of the Feel4Diabetes-intervention. One researcher from each intervention country, as well as 12 adults and 12 children (for the anthropometric measurements) and 21 adults (for the blood pressure measurements) participated in this workshop. Technical Error of Measurement (TEM) and reliability (%R) were calculated to assess the reliability of the indices which were assessed to evaluate the outcome of the Feel4Diabetes-intervention. The Feel4Diabetes-intervention is registered at https://clinicaltrials.gov/ (NCT02393872). RESULTS: Intra-observer reliability was found to be higher than 99.5% for all anthropometric measurements in both children and adults. Inter-observer reliability was found to be higher than 98% regarding the anthropometric measurements, while for blood pressure measurements %R was 76.62 and 91.38% for systolic and diastolic blood pressure measurements, respectively. CONCLUSION: The central training of the Fee4Diabetes-intervention ensured that the data collected for the outcome evaluation of the Feel4Diabetes-intervention in the six European countries at three different time points (baseline, follow-up 1 and follow-up 2) were valid and comparable.

Impacto de un programa de optimización de uso de antimicrobianos en un hospital pediátrico de tercer nivel en Panamá / Impact of an antimicrobial stewardship program in a pediatric third level hospital in Panama

Resumen Introducción: Los programas de optimización de uso de antimicrobianos (PROA) se enfocan en el uso apropiado de antimicrobianos para ofrecer mejores resultados clínicos y menores riesgos de eventos adversos. Objetivos: Comparar consumo y costos de antimicrobianos antes y después de instauración de un programa de regulación de antimicrobianos y describir la proporción de resistencia de bacterias prioritarias. Métodos: Estudio cuasi-experimental, retrospectivo y prospectivo, descriptivo y analítico, que comparó el consumo y costo de antimicrobianos en un período pre- intervención (2007-2010) y un período post-intervención (2011-2017). Se realizó análisis descriptivo de resistencias bacterianas prioritarias. Resultados: El consumo de gentamicina, vancomicina, meropenem, cefotaxima, ceftazidima e imipenem disminuyó significativamente en el período post-intervención comparado con el período pre-intervención (p < 0,05), mientras que el consumo de amikacina, piperacilina/tazobactam, cefepime y levofloxacina en el período post-intervención mostró un aumento significativo. La reducción de costos no fue significativa para gentamicina, vancomicina, meropenem, cefotaxima, ceftazidima e imipenem. Para amikacina, cefepime, piperacilina/tazobactam y levofloxacina el aumento de costos no fue significativo. Los aislamientos de Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus y Enterococcus faecalis disminuyeron durante el período post-intervención. Conclusión: el PROA demostró disminución en consumo y costos de algunos antimicrobianos.

Abstract Background: Antimicrobial Stewardship Programs (ASP) focus in the appropriate use of antimicrobials to improve clinical results and minimize risk of adverse events. Aims: To compare consumption and costs of antimicrobials before and after the establishment of an antimicrobial stewardship program and to describe the resistance proportion of priority bacteria. Methods: Quasi-experimental, retrospective and prospective, descriptive and analytical study, to compare consumption and costs of antimicrobials in a pre- intervention period (2007-2010) and a post- intervention period (2011-2017). Additionally, a descriptive analysis of bacterial resistance from 2010 was performed. Results: Gentamicin, vancomycin, meropenem, cefotaxime, ceftazidime and imipenem consumption decreased significantly in the post-intervention period compared to the pre-intervention period (p < 0.05) while consumption of amikacin, piperacillin/tazobactam, cefepime and levofloxacin increased significantly in the post-intervention period. The reduction in costs was not significant for gentamicin, vancomycin, meropenem, cefotaxime, ceftazidime and imipenem, meanwhile, costs increased for amikacin, piperacillin/tazobactam, cefepime and levofloxacin, but this was not significant. The isolation of Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus and Enterococcus faecalis decreased during the post-intervention period. Conclusion: The ASP showed a decrease in consumption and costs of some antimicrobials.

Recommendations for Cardiovascular Health and Disease Surveillance for 2030 and Beyond: A Policy Statement From the American Heart Association.

The release of the American Heart Association's 2030 Impact Goal and associated metrics for success underscores the importance of cardiovascular health and cardiovascular disease surveillance systems for the acquisition of information sufficient to support implementation and evaluation. The aim of this policy statement is to review and comment on existing recommendations for and current approaches to cardiovascular surveillance, identify gaps, and formulate policy implications and pragmatic recommendations for transforming surveillance of cardiovascular disease and cardiovascular health in the United States. The development of community platforms coupled with widespread use of digital technologies, electronic health records, and mobile health has created new opportunities that could greatly modernize surveillance if coordinated in a pragmatic matter. However, technology and public health and scientific mandates must be merged into action. We describe the action and components necessary to create the cardiovascular health and cardiovascular disease surveillance system of the future, steps in development, and challenges that federal, state, and local governments will need to address. Development of robust policies and commitment to collaboration among professional organizations, community partners, and policy makers are critical to ultimately reduce the burden of cardiovascular disease and improve cardiovascular health and to evaluate whether national health goals are achieved.