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BACKGROUND: For people with diabetes, adherence to prescribed medications is essential. However, the rising prevalence of high-deductible health plans (HDHPs), and prices of diabetes medications such as insulin, could deter adherence. OBJECTIVE: To assess the impact of HDHP on cost-related medication non-adherence (CRN) among non-elderly adults with diabetes in the US. DESIGN: Repeated cross-sectional survey. SETTING: National Health Interview Survey, 2011–2018. PARTICIPANTS: A total of 7469 privately insured adults ages 18–64 with diabetes who were prescribed medications and enrolled in a HDHP or a traditional commercial health plan (TCP). MAIN MEASURES: Self-reported measures of CRN were compared between enrollees in HDHPs and TCPs overall and among the subset using insulin. Analyses were adjusted for demographic and clinical characteristics using multivariable linear regression models. KEY RESULTS: HDHP enrollees were more likely than TCP enrollees to not fill a prescription (13.4% vs 9.9%; adjusted percentage point difference (AD) 3.4 [95% CI 1.5 to 5.4]); skip medication doses (11.4% vs 8.5%; AD 2.8 [CI 1.0 to 4.7]); take less medication (11.1% vs 8.8%; AD 2.3 [CI 0.5 to 4.0]); delay filling a prescription to save money (14.4% vs 10.8%; AD 3.0 [CI 1.1 to 4.9]); and to have any form of CRN (20.4% vs 15.5%; AD 4.4 [CI 2.2 to 6.7]). Among those taking insulin, HDHP enrollees were more likely to have any CRN (25.1% vs 18.9%; AD 5.9 [CI 1.1 to 10.8]). CONCLUSION: HDHPs are associated with greater CRN among people with diabetes, particularly those prescribed insulin. For people with diabetes, enrollment in non-HDHPs might reduce CRN to prescribed medications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-021-06937-9.

Purpose: To assess state-level variation in changes in uninsurance among Black, Hispanic, and low-income Americans after implementation of the Affordable Care Act (ACA). Methods: We analyzed data from the Behavioral Risk Factor Surveillance System from 2012 to 2016, excluding 2014. For Black, Hispanic, and low-income (

Pristine ZnO nanowire grown via thermal oxidation technique has been one of the facile synthetic routes. However, nucleation of Zn thin film over ultra thin metal layer and subsequent heat treatment would open up the possibilities of metal incorporation into ZnO matrix. The present work demonstrates the formation of ZnO:Al nanowires by oxidizing bi-layered Zn/Al film and subsequent investigation of photoresponse phenomenon of as grown and argon annealed samples in comparison to pristine ZnO nanowire. For as grown ZnO:Al, surface localized native defects effectively form complex with aluminium related defects (Al Zn ), (generated in small numbers); thereby restricting the donor capacity of aluminium. However, argon annealing provides additional defect centres (both native and Al Zn ) and at the same time help dissociating the complexes. These phenomena account additional surface charge density and surface reconstruction, causing morphological transformations from nanowire to nanoflake. SIMS depth profile studies reflect that post synthesis argon annealing triggers aluminium surface doping, In this study we have demonstrated high photocurrent gain of ZnO:Al nanowires after argon annealing, attributed to oxygen chemisorption-desorption phenomenon. Photoluminescence spectra revealed that argon annealing has resulted in improvement of near band edge emission and decrease of green luminescence intensity of ZnO:Al sample. In this study violet-blue emission was observed at 3.11 eV after argon annealing of both ZnO and ZnO:Al samples, attributed to emission from the localized defect related complexes of oxygen vacancy and characteristic peak at 3.0 eV may be attributed to interstitial zinc (Zn i ) related complex.

Access to language services is a required and foundational component of care for patients with limited English proficiency (LEP). National standards for medical interpreting set by the US Department of Health and Human Services and by the National Council on Interpreting in Health Care establish the role of qualified medical interpreters in the provision of care in the United States. In the vignette, the attending physician infringes upon the patient's right to appropriate language services and renders unethical care. Clinicians are obliged to create systems and a culture that ensure quality care for patients with LEP.

Health disparities are pervasive worldwide. Physicians have a unique vantage point from which they can observe the ways social, economic, and political factors impact health outcomes and can be effective advocates for enhanced health outcomes and health equity. However, social medicine and health advocacy curricula are uncommon in postgraduate medical education.In academic year (AY) 2012, the Cambridge Health Alliance internal medicine residency program transformed an elective into a required social medicine and research-based health advocacy curriculum. The course has three major innovations: it has a yearlong longitudinal curriculum, it is required for all residents, and all residents complete a group research-based health advocacy project within the curricular year. The authors describe the structure, content, and goals of this curriculum.Over the last four years (AYs 2012-2015), residents (17/32; 53%) have rated the overall quality of the course highly (mean = 5.2, where 6 = outstanding; standard deviation = 0.64). In each year since the new course has been implemented, all scholarly work from the course has been presented at conferences by 31 resident presenters and/or coauthors. The course seems to enhance the residency program's capacity to recruit high-caliber residents and faculty members.The authors are collecting qualitative and quantitative data on the impact of the course. They will use their findings to advocate for a national health advocacy competency framework. Recommendations about how to initiate or further develop social medicine and health advocacy curricula are offered.

Background The Ebola virus disease (EVD) epidemic has threatened access to basic health services through facility closures, resource diversion, and decreased demand due to community fear and distrust. While modeling studies have attempted to estimate the impact of these disruptions, no studies have yet utilized population-based survey data. Methods and Findings We conducted a two-stage, cluster-sample household survey in Rivercess County, Liberia, in March–April 2015, which included a maternal and reproductive health module. We constructed a retrospective cohort of births beginning 4 y before the first day of survey administration (beginning March 24, 2011). We then fit logistic regression models to estimate associations between our primary outcome, facility-based delivery (FBD), and time period, defined as the pre-EVD period (March 24, 2011–June 14, 2014) or EVD period (June 15, 2014–April 13, 2015). We fit both univariable and multivariable models, adjusted for known predictors of facility delivery, accounting for clustering using linearized standard errors. To strengthen causal inference, we also conducted stratified analyses to assess changes in FBD by whether respondents believed that health facility attendance was an EVD risk factor. A total of 1,298 women from 941 households completed the survey. Median age at the time of survey was 29 y, and over 80% had a primary education or less. There were 686 births reported in the pre-EVD period and 212 in the EVD period. The unadjusted odds ratio of facility-based delivery in the EVD period was 0.66 (95% confidence interval [CI] 0.48–0.90, p-value = 0.010). Adjustment for potential confounders did not change the observed association, either in the principal model (adjusted odds ratio [AOR] = 0.70, 95%CI 0.50–0.98, p = 0.037) or a fully adjusted model (AOR = 0.69, 95%CI 0.50–0.97, p = 0.033). The association was robust in sensitivity analyses. The reduction in FBD during the EVD period was observed among those reporting a belief that health facilities are or may be a source of Ebola transmission (AOR = 0.59, 95%CI 0.36–0.97, p = 0.038), but not those without such a belief (AOR = 0.90, 95%CI 0.59–1.37, p = 0.612). Limitations include the possibility of FBD secular trends coincident with the EVD period, recall errors, and social desirability bias. Conclusions We detected a 30% decreased odds of FBD after the start of EVD in a rural Liberian county with relatively few cases. Because health facilities never closed in Rivercess County, this estimate may under-approximate the effect seen in the most heavily affected areas. These are the first population-based survey data to show collateral disruptions to facility-based delivery caused by the West African EVD epidemic, and they reinforce the need to consider the full spectrum of implications caused by public health emergencies., John Kraemer and colleagues estimate changes in facility-based delivery during the Ebola virus disease epidemic in rural Liberia using cross-sectional data from a population-based household survey., Author Summary Why was this study done? The 2014–2015 West African Ebola virus disease (EVD) epidemic killed approximately 11,300 people directly, but its effects are magnified by collateral health consequences. Mathematical models and facility-based data provide evidence of substantial health service interruptions, but little population-based survey data has been published from the three principally affected countries. Maternal health services, which are dependent on functioning health systems, are likely to be particularly susceptible to external shocks, such as the EVD epidemic. What did the researchers do and find? We used a cluster-sample survey to produce a representative sample of births in Rivercess County, Liberia, a part of the country with relatively limited Ebola transmission. Controlling for potential confounders, we compared the odds of facility-based delivery among 686 births in the period before the EVD epidemic with 212 births during the epidemic. We identified a 30% reduction in the odds of facility-based delivery during the EVD epidemic. The odds of facility-based delivery were 41% lower among women who reported a belief that Ebola was or may be transmitted in health facilities, but not significantly lower among women who reported believing that Ebola was not transmitted in health facilities. What do these findings mean? This study provides further evidence that the 2014–2015 West African EVD epidemic caused serious collateral harm to health services. This study also underscores the need to maintain focus on long-term health system reconstruction after the EVD epidemic.

Objective Optimal methods for medical student assessment in surgery remain elusive. Faculty- and housestaff-written evaluations constitute the chief means of student assessment in medical education. However, numerous studies show that this approach has poor specificity and a high degree of subjectivity. We hypothesized that an objective structured clinical examination (OSCE) in the surgery clerkship would provide additional data on student performance that would confirm or augment other measures of assessment. Design We retrospectively reviewed data from OSCEs, National Board of Medical Examiners shelf examinations, oral presentations, and written evaluations for 51 third-year Harvard Medical School students rotating in surgery at Massachusetts General Hospital from 2014 to 2015. We expressed correlations between numeric variables in Pearson coefficients, stratified differences between rater groups by one-way analysis of variance, and compared percentages with 2-sample t-tests. We examined commentary from both OSCE and clinical written evaluations through textual analysis and summarized these results in percentages. Results OSCE scores and clinical evaluation scores correlated poorly with each other, as well as with shelf examination scores and oral presentation grades. Textual analysis of clinical evaluation comments revealed a heavy emphasis on motivational factors and praise, whereas OSCE written comments focused on cognitive processes, patient management, and methods to improve performance. Conclusions In this single-center study, an OSCE provided clinical skills data that were not captured elsewhere in the surgery clerkship. Textual analysis of faculty evaluations reflected an emphasis on interpersonal skills, rather than appraisal of clinical acumen. These findings suggest complementary roles of faculty evaluations and OSCEs in medical student assessment.

Background This study seeks to understand distance from health facilities as a barrier to maternal and child health service uptake within a rural Liberian population. Better understanding the relationship between distance from health facilities and rural health care utilization is important for post–Ebola health systems reconstruction and for general rural health system planning in sub–Saharan Africa. Methods Cluster–sample survey data collected in 2012 in a very rural southeastern Liberian population were analyzed to determine associations between quartiles of GPS–measured distance from the nearest health facility and the odds of maternal (ANC, facility–based delivery, and PNC) and child (deworming and care seeking for ARI, diarrhea, and fever) service use. We estimated associations by fitting simple and multiple logistic regression models, with standard errors adjusted for clustered data. Findings Living in the farthest quartile was associated with lower odds of attending 1–or–more ANC checkup (AOR = 0.04, P

We make use of recent results from random matrix theory to identify a derived threshold, for isolating noise from image features. The procedure assumes the existence of a set of noisy images, where denoising can be carried out on individual rows or columns independently. The fact that these are guaranteed to be correlated makes the correlation matrix an ideal tool for isolating noise. The random matrix result provides lowest and highest eigenvalues for the Gaussian random noise for which case, the eigenvalue distribution function is analytically known. This provides an ideal threshold for removing Gaussian random noise and thereby separating the universal noisy features from the non-universal components belonging to the specific image under consideration.