Mixed Reality Surgical Navigation System; Positional Accuracy Based on Food and Drug Administration Standard.

BACKGROUND: Computer assisted surgical navigation systems are designed to improve outcomes by providing clinicians with procedural guidance information. The use of new technologies, such as mixed reality, offers the potential for more intuitive, efficient, and accurate procedural guidance. The goal of this study is to assess the positional accuracy and consistency of a clinical mixed reality system that utilizes commercially available wireless head-mounted displays (HMDs), custom software, and localization instruments. METHODS: Independent teams using the second-generation Microsoft HoloLens© hardware, Medivis SurgicalAR© software, and localization instruments, tested the accuracy of the combined system at different institutions, times, and locations. The ASTM F2554-18 consensus standard for computer-assisted surgical systems, as recognized by the U.S. FDA, was utilized to measure the performance. 288 tests were performed. RESULTS: The system demonstrated consistent results, with an average accuracy performance that was better than one millimeter (.75 ± SD .37 mm). CONCLUSION: Independently acquired positional tracking accuracies exceed conventional in-market surgical navigation tracking systems and FDA standards. Importantly, the performance was achieved at two different institutions, using an international testing standard, and with a system that included a commercially available off-the-shelf wireless head mounted display and software.

Healthcare Personnel (HCP) Attitudes About Coronavirus Disease 2019 (COVID-19) Vaccination After Emergency Use Authorization.

BACKGROUND: We previously reported on coronavirus disease 2019 (COVID-19) vaccination intent among healthcare personnel (HCP) before emergency use authorization. We found widespread hesitancy and a substantial proportion of HCP did not intend to vaccinate. METHODS: We conducted a cross-sectional survey of HCP, including clinical and nonclinical staff, researchers, and trainees between 21 February and 19 March 2021. The survey evaluated vaccine attitudes, beliefs, intent, and acceptance. RESULTS: Overall, 3981 (87.7%) of respondents had already received a COVID-19 vaccine or planned to get vaccinated. There were significant differences in vaccine acceptance by gender, age, race, and hospital role. Males (93.7%) were more likely than females (89.8%) to report vaccine acceptance (P < .001). Mean age was higher among those reporting vaccine acceptance (P < .001). Physicians and scientists showed the highest acceptance rate (97.3%), whereas staff in ancillary services showed the lowest acceptance rate (79.9%). Unvaccinated respondents were more likely to be females, to have refused vaccines in the past due to reasons other than illness or allergy, to care for COVID-19 patients, or to rely on themselves when making vaccination decision. Vaccine acceptance was more than twice previous intent among Black respondents, an increase from 30.8% to 73.8%, and across all hospital roles with all > 80% vaccine acceptance. CONCLUSIONS: The majority of HCP were vaccinated, much higher than reporting intent before vaccine was available. However, many HCP-particularly ancillary services-are still hesitant. Feasible and effective interventions to address the hesitant, including individually-tailored education strategies are needed, or vaccine can be mandated.

Use of open-text responses to recode categorical survey data on postpartum contraception use among women in the United States: A mixed-methods inquiry of Pregnancy Risk Assessment Monitoring System data.

BACKGROUND: Postpartum contraception prevents unintended pregnancies and short interpregnancy intervals. The Pregnancy Risk Assessment Monitoring System (PRAMS) collects population-based data on postpartum contraception nonuse and reasons for not using postpartum contraception. In addition to quantitative questions, PRAMS collects open-text responses that are typically left unused by secondary quantitative analyses. However, abundant preexisting open-text data can serve as a resource for improving quantitative measurement accuracy and qualitatively uncovering unexpected responses. We used PRAMS survey questions to explore unprompted reasons for not using postpartum contraception and offer insight into the validity of categorical responses. METHODS AND FINDINGS: We used 31,208 categorical 2012 PRAMS survey responses from postpartum women in the US to calculate original prevalences of postpartum contraception use and nonuse and reasons for contraception nonuse. A content analysis of open-text responses systematically recoded data to mitigate survey bias and ensure consistency, resulting in adjusted prevalence calculations and identification of other nonuse themes. Recoded contraception nonuse slightly differed from original reports (21.5% versus 19.4%). Both calculations showed that many respondents reporting nonuse may be at a low risk for pregnancy due to factors like tubal ligation or abstinence. Most frequent nonuse reasons were not wanting to use birth control (27.1%) and side effect concerns (25.0%). Other open-text responses showed common themes of infertility, and breastfeeding as contraception. Comparing quantitative and qualitative responses revealed contradicting information, suggesting respondent misinterpretation and confusion surrounding the term "pregnancy prevention." Though this analysis may be limited by manual coding error and researcher biases, we avoided coding exhaustion via 1-hour coding periods and validated reliability through intercoder kappa scores. CONCLUSIONS: In this study, we observed that respondents reporting contraception nonuse often described other methods of pregnancy prevention and contraception barriers that were not included in categorical response options. Open-text responses shed light on a more comprehensive list of pregnancy prevention methods and nonuse options. Our findings contribute to survey questions that can lead to more accurate depiction of postpartum contraceptive behavior. Additionally, future use of these qualitative methods may be used to improve other health behavior survey development and resulting data.

Relationship between COVID-19 cases and vaccination rates in New York State counties.

Context: The presence of new viral variants, in combination with the relaxation of social distancing and other preventative measures, has led to a spike in COVID-19 cases in the United States. The development of COVID-19 vaccinations may reduce the impact of these viral variants on case rates in the population. Objective: To determine the impact of COVID-19 vaccination rates on cases/100k population in each New York State (NYS) county. Study Design: Cross-sectional analysis of COVID-19 cases/100k population per NYS county, frozen at a single snapshot in time. Descriptive statistics and bivariate correlations were conducted to determine vaccination rates across 62 NYS counties, and linear regression was used to examine the effect of vaccination rates on cases/100k, controlling for size of county population. Dataset & Setting: Vaccination rates per county shared by the NYS Department of Health using data reported to the NYS Immunization Information System and the New York City Citywide Immunization Registry. COVID-19 case rates per county available through the John Hopkins University website. Population: NYS residents across 62 counties on March 31st, 2021. Outcome Measures: COVID-19 vaccination rates across counties at a single point in time were compared with cases/100k population. Results: Percentages with 1 dose and with 2 doses are highly correlated (r=.935, p<.001) with one another, and county population size was strongly correlated with cases per 100k (r=.715, p<.001). Both the 1 dose and 2 dose rates were negatively correlated with cases per 100k population, although not significantly. However, the two-dose vaccination rate was a significant negative predictor of cases per 100k population in NYS Counties (ß= -.866, p=.031), with each percentage point of completed vaccination nearly equating to one case less in the daily count, when controlling for county population size (ß =2.732, p<.001). Conclusion: While COVID-19 variants may impact vaccine effectiveness, current vaccination efforts are helping forestall some cases in NYS. Widespread vaccination is still an important goal. Primary care providers, public officials, and public health scientists should continue to urgently promote and support vaccination efforts.

Assessment of US Healthcare Personnel Attitudes Towards Coronavirus Disease 2019 (COVID-19) Vaccination in a Large University Healthcare System.

BACKGROUND: As a priority group, healthcare personnel (HCP) will be key to the success of coronavirus disease 2019 (COVID-19) vaccination programs. This study assessed HCP willingness to get vaccinated and identified specific concerns that would undermine vaccination efforts. METHODS: We conducted a cross-sectional survey of HCP, including clinical and nonclinical staff, researchers, and trainees, between 23 November and 5 December 2020. The survey evaluated attitudes, beliefs, and willingness to get vaccinated. RESULTS: There were 5287 respondents with a mean (SD) age of 42.5 (13.56) years; 72.8% were female (n = 3842). Overall, 57.5 % of individuals expressed intent to receive COVID-19 vaccine; 80.4% were physicians and scientists representing the largest group. 33.6% of registered nurses, 31.6% of allied health professionals, and 32% of master's level clinicians were unsure they would take the vaccine (P < .001). Respondents who were older, male, White, or Asian were more likely to get vaccinated than other groups. Vaccine safety, potential adverse events, efficacy, and speed of vaccine development dominated concerns listed by participants. Fewer (54.0%) providers of direct care versus non-care providers (62.4%) and 52.0% of those who had provided care for COVID-19 patients (vs 60.6% of those who had not) indicated they would take the vaccine if offered (P < .001). CONCLUSIONS: We observed that self-reported willingness to receive vaccination against COVID-19 differs by hospital roles, with physicians and research scientists showing the highest acceptance. These findings highlight important heterogeneity in personal attitudes among HCPs around COVID-19 vaccines and highlight a need for tailored communication strategies.

Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry.

Schizophrenia is a common, chronic and debilitating neuropsychiatric syndrome affecting tens of millions of individuals worldwide. While rare genetic variants play a role in the etiology of schizophrenia, most of the currently explained liability is within common variation, suggesting that variation predating the human diaspora out of Africa harbors a large fraction of the common variant attributable heritability. However, common variant association studies in schizophrenia have concentrated mainly on cohorts of European descent. We describe genome-wide association studies of 6152 cases and 3918 controls of admixed African ancestry, and of 1234 cases and 3090 controls of Latino ancestry, representing the largest such study in these populations to date. Combining results from the samples with African ancestry with summary statistics from the Psychiatric Genomics Consortium (PGC) study of schizophrenia yielded seven newly genome-wide significant loci, and we identified an additional eight loci by incorporating the results from samples with Latino ancestry. Leveraging population differences in patterns of linkage disequilibrium, we achieve improved fine-mapping resolution at 22 previously reported and 4 newly significant loci. Polygenic risk score profiling revealed improved prediction based on trans-ancestry meta-analysis results for admixed African (Nagelkerke's R2 = 0.032; liability R2 = 0.017; P < 10-52), Latino (Nagelkerke's R2 = 0.089; liability R2 = 0.021; P < 10-58), and European individuals (Nagelkerke's R2 = 0.089; liability R2 = 0.037; P < 10-113), further highlighting the advantages of incorporating data from diverse human populations.

Three-Dimensional Augmented Reality Visualization Informs Locoregional Therapy in a Translational Model of Hepatocellular Carcinoma.

PURPOSE: To evaluate the utility of visualizing preprocedural MR images in 3-dimensional (3D) space using augmented reality (AR) before transarterial embolization of hepatocellular carcinoma (HCC) in a preclinical model. MATERIALS AND METHODS: A total of 28 rats with diethylnitrosamine-induced HCCs > 5 mm treated with embolization were included in a prospective study. In 12 rats, 3D AR visualization of preprocedural MR images was performed before embolization. Procedural metrics including catheterization time and radiation exposure were compared vs a prospective cohort of 16 rats in which embolization was performed without AR. An additional cohort of 15 retrospective cases was identified and combined with the prospective control cohort (n = 31) to improve statistical power. RESULTS: A 37% reduction in fluoroscopy time, from 11.7 min to 7.4 minutes, was observed with AR when compared prospectively, which did not reach statistical significance (P = .12); however, when compared with combined prospective and retrospective controls, the reduction in fluoroscopy time from 14.1 min to 7.4 minutes (48%) was significant (P = .01). A 27% reduction in total catheterization time, from 42.7 minutes to 31.0 minutes, was also observed with AR when compared prospectively, which did not reach statistical significance (P = .11). No significant differences were seen in dose-area product or air kerma prospectively. CONCLUSIONS: Three-dimensional AR visualization of preprocedural imaging may aid in the reduction of procedural metrics in a preclinical model of transarterial embolization. These data support the need for further studies to evaluate the potential of AR in endovascular oncologic interventions.

Social Distancing Metrics and Estimates of SARS-CoV-2 Transmission Rates: Associations Between Mobile Telephone Data Tracking and R.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). In the absence of robust preventive or curative strategies, the implementation of social distancing has been a key component of limiting the spread of the virus. METHODS: Daily estimates of R(t) were calculated and compared with measures of social distancing made publicly available by Unacast. Daily generated variables representing an overall grade for distancing, changes in distances traveled, encounters between individuals, and daily visitation, were modeled as predictors of average R value for the following week, using linear regression techniques for 8 counties surrounding the city of Syracuse, New York. Supplementary analysis examined differences between counties. RESULTS: A total of 225 observations were available across the 8 counties, with 166 meeting the mean R(t) < 3 outlier criterion for the regression models. Measurements for distance (ß = 1.002, P = .012), visitation (ß = .887, P = .017), and encounters (ß = 1.070, P = .001) were each predictors of R(t) for the following week. Mean R(t) drops when overall distancing grades move from D+ to C-. These trends were significant (P < .001 for each). CONCLUSIONS: Social distancing, when assessed by free and publicly available measures such as those shared by Unacast, has an impact on viral transmission rates. The scorecard may also be useful for public messaging about social distance, in hospital planning, and in the interpretation of epidemiological models.

Qualitative insights into how men with low-risk prostate cancer choosing active surveillance negotiate stress and uncertainty.

BACKGROUND: Active surveillance is a management strategy for men diagnosed with early-stage, low-risk prostate cancer in which their cancer is monitored and treatment is delayed. This study investigated the primary coping mechanisms for men following the active surveillance treatment plan, with a specific focus on how these men interact with their social network as they negotiate the stress and uncertainty of their diagnosis and treatment approach. METHODS: Thematic analysis of semi-structured interviews at two academic institutions located in the northeastern US. Participants include 15 men diagnosed with low-risk prostate cancer following active surveillance. RESULTS: The decision to follow active surveillance reflects the desire to avoid potentially life-altering side effects associated with active treatment options. Men on active surveillance cope with their prostate cancer diagnosis by both maintaining a sense of control over their daily lives, as well as relying on the support provided them by their social networks and the medical community. Social networks support men on active surveillance by encouraging lifestyle changes and serving as a resource to discuss and ease cancer-related stress. CONCLUSIONS: Support systems for men with low-risk prostate cancer do not always interface directly with the medical community. Spousal and social support play important roles in helping men understand and accept their prostate cancer diagnosis and chosen care plan. It may be beneficial to highlight the role of social support in interventions targeting the psychosocial health of men on active surveillance.

Analysis of the association between millennium development goals 4 & 5 and the physician workforce across international economic strata.

BACKGROUND: The Millennium Development Goals (MDGs) are 8 international development goals voluntarily adopted by 189 nations. The goals included health related aims to reduce the under-five child mortality rate by two-thirds (MDG4), and to reduce the maternal mortality ratio by three-quarters (MDG5). To assess the relationship between the healthcare workforce and MDGs 4-5, we examined the physician workforces of countries around the globe, in terms of the Physician Density Level (PDL, or number of physicians per 1000 population), and compared this rate across a number of years to several indicator variables specified as markers of progress towards MDG4 and MDG5. METHODS: Data for each variable of interest were obtained from the World Bank's Millennium Development Goals and World Development Indicators databases for 208 countries and territories from 2004 to 2014, representing a ten-year period for which the most information is available. We analyzed the relationships between MDG outcomes and PDL, controlling for national income levels and other covariates, using linear mixed model regression. Dependent variables were logarithmically transformed to meet assumptions necessary for multivariate analysis. RESULTS: In unadjusted models, an increase of every one physician per 1000 population (one unit change in PDL) lowered the risk of not being vaccinated for measles-mumps-rubella (MMR) to 29.3% (p < 0.001, 95% CI: 22.2%-38.7%) and for not receiving diphtheria-tetanus-pertussis (DTaP) vaccination rate decreased to 38.5% (p < 0.001, 95% CI: 28.7% - 51.7%). Maternal mortality rate decreased to 76.6% (p < 0.001, 95% CI: 74.3% - 79.0%), neonatal mortality decreased to 58.8% (p < 0.001, 95% CI: 54.8% - 63.2%) and under-5 mortality rate decreased to 52.1% (p < 0.001, 95% CI: 48.0% - 56.4%), with every one-unit change in PDL. Adjusted models tended to reflect unadjusted risk assessments. CONCLUSION: The maintenance and improvement of the health workforce is a vital consideration when assessing how to achieve global development goals related to health outcomes.

Essential Public Health Competencies for Medical Students: Establishing a Consensus in Family Medicine.

Phenomenon: The integration of public health (PH) competency training into medical education, and further integration of PH and primary care, has been urged by the U.S. Institute of Medicine. However, PH competencies are numerous, and no consensus exists over which competencies are most important for adoption by current trainees. Our objective was to conduct a group concept mapping exercise with stakeholders identifying the most important and feasible PH skills to incorporate in medical and residency curricula. APPROACH: We utilized a group concept mapping technique via the Concept System Global Max ( http://www.conceptsystems.com ), where family medicine educators and PH professionals completed the phrase, "A key Public Health competency for physicians-in-training to learn is …" with 1-10 statements. The statement list was edited for duplication and other issues; stakeholders then sorted the statements and rated them for importance and feasibility of integration. Multidimensional scaling and cluster analysis were used to create a two-dimensional point map of domains of PH training, allowing visual comparison of groupings of related ideas and relative importance of these ideas. FINDINGS: There were 116 nonduplicative statements (225 total) suggested by 120 participants. Three metacategories of competencies emerged: Clinic, Community & Culture, Health System Understanding, and Population Health Science & Data. Insights: We identified and organized a set of topics that serve as a foundation for the integration of family medicine and PH education. Incorporating these topics into medical education is viewed as important and feasible by family medicine educators and PH professions.

Update on Performance in Tobacco Control: A Longitudinal Analysis of the Impact of Tobacco Control Policy and the US Adult Smoking Rate, 2011-2013.

CONTEXT: Tobacco use remains the leading cause of preventable death in the United States. States and municipalities have instituted a variety of tobacco control measures (TCMs) to address the significant impact tobacco use has on population health. The American Lung Association annually grades state performance of tobacco control using the State of Tobacco Control grading framework. OBJECTIVE: To gain an updated understanding of how recent efforts in tobacco control have impacted tobacco use across the United States, using yearly State of Tobacco Control TCM assessments. DESIGN: The independent TCM variables of smoke-free air score, cessation score, excise tax, and percentage of recommended funding were selected from the American Lung Association State of Tobacco Control reports. Predictors of adult smoking rates were determined by a mixed-effects model. SETTING/PARTICIPANTS: The 50 US states and District of Columbia. MAIN OUTCOME MEASURE: Adult smoking rate in each state from 2011 to 2013. RESULTS: The average adult smoking rate decreased significantly from 2011 to 2013 (21.3% [SD: 3.5] to 19.3% [SD: 3.5], P = .016). All forms of TCMs varied widely in implementation levels across states. Excise taxes (ß = -.812, P = .006) and smoke-free air regulations (ß = -.057, P = .008) were significant, negative predictors of adult smoking. Cessation services (ß = .015, P = .46) did not have a measurable effect on adult smoking. CONCLUSION: Tobacco control measures with the strongest influence on adult smoking include the state excise tax and state smoke-free air regulations. The lack of robust funding for tobacco cessation services across the majority of US states highlights an important shortfall in current tobacco control policy.

Emerging practice concerning vitamin D in primary care.

The establishment of practice patterns concerning the diagnosis and management of hypovitaminosis D seems to be heterogeneous among primary care physicians. We conducted a qualitative study to explore the emerging practices among primary care providers regarding screening and treatment for hypovitaminosis D, as well as factors that influence practice patterns. Trained researchers facilitated focus groups among primary care providers. We followed a grounded theory approach to transcript coding and analysis using ATLAS.ti analysis software. Testing or screening for hypovitaminosis D and subsequent replacement or supplementation practices varied among participants. Emerging practice concerning vitamin D appears to be constructed and reinforced by patient demand; incidental reading; brief, purposeful research; conversations with colleagues; results of consultations by specialists; and more patient demand. A multifaceted approach to promoting guideline adherence will be required to influence this practice.

Update on imaging of the postsurgical breast.

Oncologic, reconstructive, and cosmetic breast surgery has evolved in the last 20 years. Familiarity with cutting-edge surgical techniques and their imaging characteristics is essential for radiologic interpretation and may help avert false-positive imaging findings. Novel surgical techniques include skin- and nipple-sparing mastectomies, autologous free flaps, autologous fat grafting, and nipple-areola-complex breast reconstruction. These techniques are illustrated and compared with conventional surgical techniques, including modified radical mastectomy and autologous pedicled flaps. The role of magnetic resonance (MR) imaging in surgical planning, evaluation for complications, and postsurgical cancer detection is described. Breast reconstruction and augmentation using silicone gel-filled implants is discussed in light of the Food and Drug Administration's recommendation for MR imaging screening for "silent" implant rupture 3 years after implantation and every 2 years thereafter. Recent developments in skin incision techniques for reduction mammoplasty are presented. The effects of postsurgical changes on the detection of breast cancer are discussed by type of surgery.

Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices.

BACKGROUND: An increase in prior authorization (PA) requirements from health insurance companies is placing administrative and financial burdens on primary care offices across the United States. As time allocation for these cases continues to grow, physicians are concerned with additional workload and inefficiency in the workplace. The objective is to estimate the effects of practice characteristics on time spent per prior authorization request in primary care practices. METHODS: Secondary analysis was performed using data on nine primary care practices in Central New York. Practice characteristics and demographics were collected at the onset of the study. In addition, participants were instructed to complete an "event form" (EF) to document each prior authorization event during a 4-6 week period; prior authorizations included requests for medication as well as other health care services. Stepwise Ordinary Least Squares (OLS) Regression was used to model Time in Minutes of each event as an outcome of various factors. RESULTS: Prior authorization events (N = 435) took roughly 20 minutes to complete (beta = 20.017, p < .001); Medicaid requests took less time (beta = -6.085, p < .001), and Electronic Health Record (EHR) system use reduced prior authorization time by about 5 minutes (beta = -5.086, p = .002). CONCLUSIONS: While prior authorization events impose substantial costs to primary care offices, it appears that Medicaid requests take less time than private payer requests. Results from the study provide support that Electronic Health Record usage may also reduce time required to complete prior authorization requests.

The temporal decline of idealism in two cohorts of medical students at one institution.

BACKGROUND: A number of studies have indicated that students lose idealistic motivations over the course of medical education, with some identifying the initiation of this decline as occurring as early as the second year of the traditional US curricula. This study builds on prior work testing the hypothesis that a decline in medical student idealism is detectable in the first two years of medical school. METHODS: The original study sought to identify differences in survey responses between first-year (MS1) and second-year (MS2) medical students at the beginning and end of academic year 2010, on three proxies for idealism. The current study extends that work by administering the same survey items to the same student cohorts at the end of their third and fourth years (MS3 and MS4), respectively. Survey topics included questions on: (a) motivations for pursuing a medical career; (b) specialty choice; and (c) attitudes toward primary care. Principle component analysis was used to extract linear composite variables (LCVs) from responses to each group of questions. Linear regression was then used to test the effect of the six cohort/time-points on each composite variable, controlling for demographic characteristics. RESULTS: Idealism in medicine decreased (ß = -.113, p < .001) while emphasis on employment and job security increased (ß = .146, p < .001) as motivators of pursuing a career in medicine at each medical school stage and time period. Students were more likely to be motivated by student debt over interest in content in specialty choice (ß = .077, p = .004) across medical school stages. Negative attitudes towards primary care were most sensitive to MS group and time effects. Both negative/antagonistic views (ß = .142, p < .001) and negative/sympathetic views (ß = .091, p < .001) of primary care increased over each stage. CONCLUSIONS: Our results provide further evidence that declines in medical student idealism may occur as early as the second year of medical education. Additionally, as students make choices in their medical careers, such as specialty choice or consideration of primary care, the influences of job security, student debt and social status increasingly outweigh idealistic motivations.

Moving on From Self-assessment.

Self-assessment of knowledge and confidence is common in medical education, and there are both philosophical and practical to justifications for it. However, many attempts to establish a correlation between self-assessments of knowledge or confidence and objective measures of knowledge or skill acquisition have failed. While in some circumstances the inclusion or reliance of self-assessment may be warranted, for example when a study is specifically measuring traits or outcomes that rely upon meta-cognition or increases in confidence, it is more often the case that self-assessment is used as a substitute for more objective measures. This is demonstrably flawed, and PRiMER as a journal will be moving away from publishing reports that inappropriately rely upon self-assessed knowledge or confidence as the only study outcomes.