Notes

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The Community Preventive Services Task Force recommends engaging community health workers to increase breast, cervical, and colorectal cancer screenings on the basis of strong evidence of effectiveness. This systematic review examines the economic evidence of these interventions.

A systematic literature search was performed with a search period through April 2019 to identify relevant economic evaluation studies. All monetary values were adjusted to 2018 U.S. dollars, and the analysis was completed in 2019.

A total of 19 studies were included in the final analysis with 3 on breast cancer, 5 on cervical cancer, 9 on colorectal cancer, and 2 that combined costs for breast and cervical cancers and for breast, cervical, and colorectal cancers. For cervical cancer screening, 2 U.S. studies reported incremental cost per quality-adjusted life year saved of $762 and $34,405. For colorectal cancer screening, 2 U.S. studies reported both a negative incremental cost and an increase in quality-adjusted life years saved with colonoscopy screening.

Engaging community health workers to increase cervical and colorectal cancer screenings is cost effective on the basis of estimated incremental cost-effectiveness ratios that were less than the conservative $50,000 per quality-adjusted life year threshold. In addition, quality-adjusted life years saved from colorectal screening with colonoscopy were associated with net healthcare cost savings.
Engaging community health workers to increase cervical and colorectal cancer screenings is cost effective on the basis of estimated incremental cost-effectiveness ratios that were less than the conservative $50,000 per quality-adjusted life year threshold. In addition, quality-adjusted life years saved from colorectal screening with colonoscopy were associated with net healthcare cost savings.
Previous studies have demonstrated cross-sectional associations between social media use and depression, but their temporal and directional associations have not been reported.

In 2018, participants aged 18-30 years were recruited in proportion to U.S. Census characteristics, including age, sex, race, education, household income, and geographic region. Participants self-reported social media use on the basis of a list of the top 10 social media networks, which represent >95% of social media use. this website Depression was assessed using the 9-Item Patient Health Questionnaire. A total of 9 relevant sociodemographic covariates were assessed. All measures were assessed at both baseline and 6-month follow-up.

Among 990 participants who were not depressed at baseline, 95 (9.6%) developed depression by follow-up. In multivariable analyses conducted in 2020 that controlled for all covariates and included survey weights, there was a significant linear association (p<0.001) between baseline social media use and the d in social media use at follow-up. This pattern suggests temporal associations between social media use and depression, an important criterion for causality.
Community health centers often screen for and address patients' unmet social needs. This study examines the degree to which community health center patients report receiving social needs assistance and compares measures of access and quality between patients who received assistance versus similar patients who did not.

A nationally representative sample of 4,699 nonelderly adults receiving care at community health centers from the 2014-2015 Health Resources and Services Administration Health Center Patient Survey was used, representing 12.6 million patients. The exposure-having "received social needs assistance"-was based on whether a patient received any community health center assistance accessing social programs (e.g., applying for government benefits) or basic needs (e.g., obtaining transportation, housing, food). Using logistic regression models with inverse probability of treatment weights, outcomes for patients who received social needs assistance with similar patients who did not were compared. Stuider providing social needs assistance to patients, these results suggest that doing so may be associated with improved access to and quality of care.
As community health centers and other providers consider providing social needs assistance to patients, these results suggest that doing so may be associated with improved access to and quality of care.
Previously estimated effects of social distancing do not account for changes in individual behavior before the implementation of stay-at-home policies or model this behavior in relation to the burden of disease. This study aims to assess the asynchrony between individual behavior and government stay-at-home orders, quantify the true impact of social distancing using mobility data, and explore the sociodemographic variables linked to variation in social distancing practices.

This study was a retrospective investigation that leveraged mobility data to quantify the time to behavioral change in relation to the initial presence of COVID-19 and the implementation of government stay-at-home orders. The impact of social distancing that accounts for both individual behavior and testing data was calculated using generalized mixed models. The role of sociodemographics in accounting for variation in social distancing behavior was modeled using a 10-fold cross-validated elastic net (linear machine learning model). Anag, with delays corresponding to an increase in a county's proportion of people without a high school diploma and proportion of racial and ethnic minorities.

This retrospective analysis of mobility patterns found that social distancing behavior occurred well before the onset of government stay-at-home dates. This asynchrony leads to the underestimation of the impact of social distancing. Sociodemographic characteristics associated with delays in social distancing can help explain the disproportionate case burden and mortality among vulnerable communities.
This retrospective analysis of mobility patterns found that social distancing behavior occurred well before the onset of government stay-at-home dates. This asynchrony leads to the underestimation of the impact of social distancing. Sociodemographic characteristics associated with delays in social distancing can help explain the disproportionate case burden and mortality among vulnerable communities.
In March 2016, the Centers for Disease Control and Prevention issued opioid prescribing guidelines for chronic noncancer pain. In response, in April 2016, the North Carolina Medical Board launched the Safe Opioid Prescribing Initiative, an investigative program intended to limit the overprescribing of opioids. This study focuses on the association of the Safe Opioid Prescribing Initiative with immediate and sustained changes in opioid prescribing among all patients who received opioid and opioid discontinuation and tapering among patients who received high-dose (>90 milligrams of morphine equivalents), long-term (>90 days) opioid therapy.

Controlled and single interrupted time series analysis of opioid prescribing outcomes before and after the implementation of Safe Opioid Prescribing Initiative was conducted using deidentified data from the North Carolina Controlled Substances Reporting System from January 2010 through March 2017. Analysis was conducted in 2019-2020.

In an average study month, 51ng best practices may help mitigate unintended consequences of statewide policies.
Although Safe Opioid Prescribing Initiative implementation was associated with an immediate decline in overall opioid prescribing, it was also associated with an unintended immediate increase in discontinuations and rapid tapering among patients who received high-dose, long-term opioid therapy. Better policy communication and prescriber education regarding opioid tapering best practices may help mitigate unintended consequences of statewide policies.
Vaping has become an increasingly common mode of administration for marijuana among youth, but there are limited data on its prevalence. There is a need to better understand youth prevalence of past 30-day marijuana vaping and its predictors.

Data were from a nationally representative sample of students from the Monitoring the Future survey in 2018 (N=9,131). This study examined past 30-day prevalence of marijuana vaping, and for a subset with complete data (n=5,755), the predictors of marijuana vaping among respondents asked about that behavior. Bivariate chi-square tests and multivariable logistic regression estimated the extent to which various factors were associated with marijuana vaping. These factors included the current use of various substances, school-related risk behaviors, attitude and risk behaviors related to substance use, and selected sociodemographic variables.

Past 30-day prevalence of marijuana vaping was higher among 10th graders, male youth, and those in the Other race/ethnicity catulations at risk, which should be taken into account by marijuana regulatory policies or prevention programs.Sewage sludge was excluded from the list of component materials for the production of EU fertilizing products and it was banned as feedstock to produce pyrolysis & gasification materials in European Commission's technical proposals for selected new fertilizing materials under the Regulation 2019/1009 (STRUBIAS report). This exclusion of pyrolysis as a viable way to treat sewage sludge was mainly due to the lack of data on the fate of organic pollutants at pyrolysis conditions. In this work, we are addressing this knowledge gap. We studied slow pyrolysis as a potential process to efficiently treat organic pollutants present in stabilized sewage sludge. Sewage sludge was pyrolyzed in a quartz fixed bed reactor at temperatures of 400-800 °C for 2 h and the sludge and resulting sludge-chars were analyzed for the presence of four groups of organic pollutants, namely (i) polychlorinated biphenyls (PCBs), (ii) polycyclic aromatic hydrocarbons (PAHs), (iii) pharmaceuticals, and (iv) endocrine-disrupting and hormonal compounds. Pyrolysis at ≥ 400 °C effectively removed pharmaceuticals (group iii) to below detection limits, whereas pyrolysis at temperatures higher than 600 °C was required to remove more than 99.8% of the compounds from groups i, ii and iv. Based on these findings, we propose, that high temperature (>600 °C) slow pyrolysis can satisfactory remove organic pollutants from the resulting sludge-char, which could be safely applied as soil improver.Despite the use of imaging in many medical and surgical practices, no universal mandatory radiology component is required by the Liaison Committee on Medical Education. In contrast, United States medical students are required to complete at least one core subinternship during their final year of medical school in medicine, surgery, pediatrics, or family medicine, regardless of their chosen field of interest. Students are expected to perform just below the level of an intern, performing functions such as assisting in writing notes, placing orders, and arranging for appropriate follow-up. To our knowledge, there are few institutions that offer a comparable clinical experience in radiology. In order to address this, we successfully designed and implemented a hands-on medical student advanced radiology elective, which allowed for experiential learning through independent dictation of radiographic examinations and procedure-based practice. Here, we describe the process of developing such an elective, how to implement it at other institutions, and some insight into troubleshooting any potential pitfalls should they arise.
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