Marital Quality and Depressive Symptoms Among Older Hispanic Adults in the United States.

OBJECTIVES: Despite the cultural importance of marriage as a social support system and its well-established link to mental health, older Hispanic adult populations, which are the largest racial and ethnic minoritized groups, remain understudied. The current study examined how positive and negative dimensions of marital quality are associated with depressive symptoms. METHODS: Data from Hispanic adults aged 51 years and older (n = 1,012) were obtained from the 2016 and 2018 Health and Retirement Study waves. The Center for Epidemiological Studies-Depression scale (0-8 symptoms) was modeled as a function of positive and negative marital quality measures (1-4), as well as the relevant covariates. RESULTS: Results from a negative binomial regression model showed that a 1-unit change in positive and negative marital quality was associated with a 23.61% reduction and a 23.74% increase, respectively, in depressive symptoms. The interaction terms with marital quality and gender, as well as marital quality and religion, were not statistically significant. DISCUSSION: In the United States, a large percentage of older Hispanic adults are immigrants, and their extended family tends to reside in their countries of origin. As such, older Hispanic adults may have smaller social networks, and marital quality most likely represents a culturally important social support network in later life. Significant associations between depressive symptoms and marital quality among older Hispanic adults should receive more attention in family and public health policy discussions, particularly given the increasing diversity in U.S. society.

Development of the Patient Scale of the Patient and Observer Scar Assessment Scale (POSAS) 3.0: a qualitative study.

PURPOSE: The Patient and Observer Scar Assessment Scale (POSAS) is widely used for measurements of scar quality. This encompasses visual, tactile and sensory characteristics of the scar. The Patient Scale of previous POSAS versions was lacking input from patients. Therefore, the aim of this study was to develop the POSAS3.0, Patient Scale with involvement of adults patients with all scar types, complying with the highest clinimetric standards. METHODS: From February 2018 to April 2019, a series of six focus group interviews were performed in the Netherlands and Australia to identify scar quality characteristics that adults with scars consider to be important. All focus groups were transcribed, anonymized and analysed using a thematic analysis. Relevant characteristics were formulated into items, resulting in a Dutch and English version of the Patient Scale. These drafts were pilot tested in Australia, the Netherlands and the United Kingdom, and refined accordingly. RESULTS: A total of 21 relevant scar quality characteristics were identified during the focus groups. Two distinct versions of the POSAS3.0, Patient Scale were developed. The Generic version contains 16 items and can be used for all scar types, except linear scars. The Linear Scar version of the Patient Scale contains the same 16 items, with an extra item referring to the widening of scar margins. All included items are rated on a verbal rating scale with five response options. CONCLUSION: Two versions of the POSAS3.0 Patient Scale were developed. Further field tests are being performed to establish the measurement properties and scoring algorithm of the scales.

Ensuring robust radiological risk assessment for wildlife: insights from the International Atomic Energy Agency EMRAS and MODARIA programmes.

In response to changing international recommendations and national requirements, a number of assessment approaches, and associated tools and models, have been developed over the last circa 20 years to assess radiological risk to wildlife. In this paper, we summarise international intercomparison exercises and scenario applications of available radiological assessment models for wildlife to aid future model users and those such as regulators who interpret assessments. Through our studies, we have assessed the fitness for purpose of various models and tools, identified the major sources of uncertainty and made recommendations on how the models and tools can best be applied to suit the purposes of an assessment. We conclude that the commonly used tiered or graded assessment tools are generally fit for purpose for conducting screening-level assessments of radiological impacts to wildlife. Radiological protection of the environment (or wildlife) is still a relatively new development within the overall system of radiation protection and environmental assessment approaches are continuing to develop. Given that some new/developing approaches differ considerably from the more established models/tools and there is an increasing international interest in developing approaches that support the effective regulation of multiple stressors (including radiation), we recommend the continuation of coordinated international programmes for model development, intercomparison and scenario testing.

Assessment of photoacoustic tomography contrast for breast tissue imaging using 3D correlative virtual histology.

Current breast tumor margin detection methods are destructive, time-consuming, and result in significant reoperative rates. Dual-modality photoacoustic tomography (PAT) and ultrasound has the potential to enhance breast margin characterization by providing clinically relevant compositional information with high sensitivity and tissue penetration. However, quantitative methods that rigorously compare volumetric PAT and ultrasound images with gold-standard histology are lacking, thus limiting clinical validation and translation. Here, we present a quantitative multimodality workflow that uses inverted Selective Plane Illumination Microscopy (iSPIM) to facilitate image co-registration between volumetric PAT-ultrasound datasets with histology in human invasive ductal carcinoma breast tissue samples. Our ultrasound-PAT system consisted of a tunable Nd:YAG laser coupled with a 40 MHz central frequency ultrasound transducer. A linear stepper motor was used to acquire volumetric PAT and ultrasound breast biopsy datasets using 1100 nm light to identify hemoglobin-rich regions and 1210 nm light to identify lipid-rich regions. Our iSPIM system used 488 nm and 647 nm laser excitation combined with Eosin and DRAQ5, a cell-permeant nucleic acid binding dye, to produce high-resolution volumetric datasets comparable to histology. Image thresholding was applied to PAT and iSPIM images to extract, quantify, and topologically visualize breast biopsy lipid, stroma, hemoglobin, and nuclei distribution. Our lipid-weighted PAT and iSPIM images suggest that low lipid regions strongly correlate with malignant breast tissue. Hemoglobin-weighted PAT images, however, correlated poorly with cancerous regions determined by histology and interpreted by a board-certified pathologist. Nuclei-weighted iSPIM images revealed similar cellular content in cancerous and non-cancerous tissues, suggesting malignant cell migration from the breast ducts to the surrounding tissues. We demonstrate the utility of our nondestructive, volumetric, region-based quantitative method for comprehensive validation of 3D tomographic imaging methods suitable for bedside tumor margin detection.

Urban and Rural Differences in Trajectories of Depressive Symptoms in Later Life in the United States.

OBJECTIVE: This research has two primary goals: to examine the relationship between urban residence and trajectories of depressive symptoms and to investigate whether this relationship differs by social isolation and loneliness. METHOD: Data are from 2006, 2008, 2010, 2012, 2014, and 2016 waves of the Health and Retirement Study (HRS), a nationally representative sample of U.S. adults aged 51+ (n = 3,346 females and 2,441 males). We conduct latent growth curve analysis to predict both baseline and trajectories of depression based on urban or rural residency. RESULTS: Residing in urban or rural areas is neither significantly associated with baseline nor the development of late-life depressive symptoms. For females, the relationship between urban residence and baseline depressive symptoms is explained by socioeconomic factors. DISCUSSION: Findings of this study serve to better understand how social and geographic contexts shape long-term well-being of older adults.

Childhood Socioeconomic Status and Physical Activity in Later Life: The Role of Perceived Neighborhood Cohesion and Wealth in Adulthood.

The literature indicates that perceived neighborhood social cohesion is related to later life physical activity. However, there is no research that examines the role of childhood socioeconomic status (SES) in shaping this relationship. We use data from the Health and Retirement Study (2006-2016; N = 8,754) and a structural equation modeling approach to examine whether perceived neighborhood social cohesion and adulthood wealth mediate the relationship between childhood SES and physical activity. Perceived neighborhood social cohesion and adulthood wealth have small but statistically significant mediational effects in the relationship between childhood SES and physical activity. Research on the relationship between health and place should consider the potential impact of childhood circumstances on the neighborhood one lives in during adulthood.

ADMET Predictability at Boehringer Ingelheim: State-of-the-Art, and Do Bigger Datasets or Algorithms Make a Difference?

Computational methods assisting drug discovery and development are routine in the pharmaceutical industry. Digital recording of ADMET assays has provided a rich source of data for development of predictive models. Despite the accumulation of data and the public availability of advanced modeling algorithms, the utility of prediction in ADMET research is not clear. Here, we present a critical evaluation of the relationships between data volume, modeling algorithm, chemical representation and grouping, and temporal aspect (time sequence of assays) using an in-house ADMET database. We find no large difference in prediction algorithms nor any systemic and substantial gain from increasingly large datasets. Temporal-based data enlargement led to performance improvement in only in a limited number of assays, and with fractional improvement at best. Assays that are well-, intermediately-, or poorly-suited for ADMET predictions and reasons for such behavior are systematically identified, generating realistic expectations for areas in which computational models can be used to guide decision making in molecular design and development.

Assessment of immune biomarkers and establishing a triple negative phenotype in gynecologic cancers.

OBJECTIVE: Immuno-oncology (IO) has rapidly evolved, with many IO therapies either approved or under investigation for multiple malignancies. Biomarkers exist that can predict response to IO therapies including PD-L1 expression, microsatellite instability (MSI), and total mutation burden (TMB). This paper serves to analyze the presence of these biomarkers across gynecologic cancers. METHODS: A total of 16,300 gynecologic cancer specimens submitted for molecular profiling to Caris Life Sciences were reviewed. Immunohistochemistry was performed using the SP142 anti-PD-L1 clone and assessed for intensity. Next-generation sequencing, immunohistochemistry, and fragment analysis were used to determine MSI status. TMB was measured by counting all non-synonymous missense mutations found per tumor not previously described as germline alterations. Chi-Square, Fisher Exact, and the Kruskal-Wallis test were used to compare cohorts. RESULTS: Of 16,300 specimens, 54.1% were ovarian, 37.2% uterine, 7.2% cervical, 0.3% vulvar, 1.2% vaginal, with 0.1% unspecified. MSI-H was most frequent in uterine cancer (17.7%) and only 1% of ovarian cancers. PD-L1 expression was present in 38.3% of cervical and 62.5% of vulvar cancers, but less than 8% of ovarian and uterine cancers. TMB-H was present in 21.1% cervical, 19.7% uterine, and 5% ovarian cancers. Few specimens exhibited a "triple positive" phenotype - 0.3% ovarian, 1.5% uterine, and 1.5% cervical. Associations were seen between MSI, TMB, and PD-L1 across all cancer types. CONCLUSIONS: The frequency of individual biomarkers pertinent to IO therapy varies by cancer type. HPV-driven genital tract cancers have higher frequencies of PD-L1 expression, MSI-H, and TMBH. Endometrial cancers are characterized by MSI-H and TMB, whereas ovarian cancers have a low frequency of MSI-H and modest PD-L1 or TMBH. The incidence of 'triple positive" cases was less than 2%.

Incremental costs of fragility fractures: a population-based matched -cohort study from Ontario, Canada.

Using a matched cohort design, the 1-year excess cost of incident fragility fractures at any site was $26,341 per patient, with 43% of total excess costs attributed to hospitalization. The high economic burden of fractures in Ontario underscores the urgency of closing the secondary fracture prevention gap. INTRODUCTION: This retrospective real-world observational study was conducted to document the incremental costs associated with fragility fractures in Ontario, Canada. METHODS: Patients aged >65 years with an index fragility fracture occurring between January 2011 and March 2015 were identified from administrative databases and matched 1:1 to a cohort of similar patients without a fracture. Healthcare resource utilization data were extracted from healthcare records and associated costs were calculated on a per-patient level and for the province of Ontario. Costs were presented as 2017 Canadian dollars. RESULTS: The eligible cohort included 115,776 patients with a fragility fracture. Of these, 101,773 patients were successfully matched 1:1 to a non-fracture cohort. Overall, hip fractures (n = 31,613) were the most common, whereas femur fractures (n = 3002) were the least common type. Hospitalization and continuing care/home care/long-term care accounted for more than 60% of 1-year direct costs, whereas 5% was attributed to medication costs. First-year costs per patient in the fracture cohort were approximately threefold higher versus the non-fracture cohort (mean $37,362 versus $11,020, respectively). The incremental first-year direct healthcare costs of fragility fractures for the province of Ontario were calculated at $724 million per year. CONCLUSIONS: Fragility fractures were associated with a threefold increase in overall mean healthcare costs per patient compared to patients without fractures. With an aging population, there is an urgent need for improved prevention strategies for patients at high-risk of fracture to decrease the economic burden of fragility fractures on the Canadian healthcare system.

Depression, functional disability, and accessing health care among older Ghanaians and South Africans: a comparative study based on WHO study on global ageing and adult health (SAGE).

OBJECTIVES: The study explored the association and variabilities between mild depression, functional disability, and healthcare access among older Ghanaians and South Africans. METHOD: The data used in this study was based on the Cross-sectional wave 1 (2007-2010) data from WHO's Study on Global Ageing and Adult Health (SAGE). Using multiple binary logistic regression, responses from a sample of 4558 Ghanaians and 3076 South Africans were analyzed to investigate hypothesized patterns. RESULTS: The proportion of mild depression (MD) is 6.0 % and 7.53% for older Ghanaians and older South Africans, respectively. At 95% Confidence Interval, increased severity (mild and high levels) of functional disability are associated with increased odds of MD in Ghanaian and South African older adults. Apart from South African older adults, older Ghanaians in the study who do not receive healthcare when needed have increased odds of MD than those who do. Sociodemographic and socioeconomic factors are also associated with MD. DISCUSSION: An untreated, persistent MD may lead to worse conditions with fatal outcomes. Since mental health care is lacking in both countries, this study may inform policies directed towards support for formal and informal long-term care, and healthcare access to reduce the risks of depression.

Report on G4-Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group.

BACKGROUND: Geant4 is a Monte Carlo code extensively used in medical physics for a wide range of applications, such as dosimetry, micro- and nanodosimetry, imaging, radiation protection, and nuclear medicine. Geant4 is continuously evolving, so it is crucial to have a system that benchmarks this Monte Carlo code for medical physics against reference data and to perform regression testing. AIMS: To respond to these needs, we developed G4-Med, a benchmarking and regression testing system of Geant4 for medical physics. MATERIALS AND METHODS: G4-Med currently includes 18 tests. They range from the benchmarking of fundamental physics quantities to the testing of Monte Carlo simulation setups typical of medical physics applications. Both electromagnetic and hadronic physics processes and models within the prebuilt Geant4 physics lists are tested. The tests included in G4-Med are executed on the CERN computing infrastructure via the use of the geant-val web application, developed at CERN for Geant4 testing. The physical observables can be compared to reference data for benchmarking and to results of previous Geant4 versions for regression testing purposes. RESULTS: This paper describes the tests included in G4-Med and shows the results derived from the benchmarking of Geant4 10.5 against reference data. DISCUSSION: Our results indicate that the Geant4 electromagnetic physics constructor G4EmStandardPhysics_option4 gives a good agreement with the reference data for all the tests. The QGSP_BIC_HP physics list provided an overall adequate description of the physics involved in hadron therapy, including proton and carbon ion therapy. New tests should be included in the next stage of the project to extend the benchmarking to other physical quantities and application scenarios of interest for medical physics. CONCLUSION: The results presented and discussed in this paper will aid users in tailoring physics lists to their particular application.

A scorecard for osteoporosis in Canada and seven Canadian provinces.

The scorecard evaluates the burden and management of osteoporosis in Canada and how care pathways differ across Canadian provinces. The results showed there are inequities in patients' access to diagnosis, treatment, and post-fracture care programs in Canada. Interventions are needed to close the osteoporosis treatment gap and minimize these inequities. INTRODUCTION: The purpose of this study was to develop a visual scorecard that assesses the burden of osteoporosis and its management within Canada and seven Canadian provinces. METHODS: We adapted the Scorecard for Osteoporosis in Europe (SCOPE) to score osteoporosis indicators for Canada and seven provinces (British Columbia, Alberta, Saskatchewan, Ontario, Quebec, New Brunswick, and Newfoundland). We obtained data from a comprehensive literature review and interviews with osteoporosis experts. We scored 20 elements across four domains: burden of disease, policy framework, service provision, and service uptake. Each element was scored as red, yellow, or green, indicating high, intermediate, or low risk, respectively. Elements with insufficient data were scored black. RESULTS: Canada performed well on several elements of osteoporosis care, including high uptake of risk assessment algorithms and minimal wait times for hip fracture surgery. However, there were no established fracture registries, and reporting on individuals with high fracture risk who remain untreated was limited. Furthermore, osteoporosis was not an official health priority in most provinces. Government-backed action plans and other osteoporosis initiatives were primarily confined to Ontario and Alberta. Several provinces (Saskatchewan, New Brunswick, Newfoundland) did not have any registered fracture liaison service (FLS) programs. Access to diagnosis and treatment was also inconsistent and reimbursement policies did not align with clinical guidelines. CONCLUSION: Government-backed action plans are needed to address provincial inequities in patients' access to diagnosis, treatment, and FLS programs in Canada. Further characterization of the treatment gap and the establishment of fracture registries are critical next steps in providing high-quality osteoporosis care.

Assessment of antibiotic resistant coliforms from bioaerosol samples collected above a sewage-polluted river in La Paz, Bolivia.

Antimicrobial resistance is a global health risk, and the presence of resistant bacteria in the environment may be an indicative of fecal pollution. The objective of this study has been to assess the antibiotic resistance of airborne coliforms near a highly impacted urban river that may contain high levels of fecal waste. The pilot study has been located within an Andean river basin, the Choqueyapu River basin, which flows through La Paz city in Bolivia. Bioaerosol samples have been collected using liquid impingement and plated on mTEC agar. Coliforms have been detected within 80% of the air samples. The resistance profiles of coliforms present in 20 air samples have been determined by using a modified Kirby-Bauer disk diffusion test against amoxicillin-clavulanic acid, ciprofloxacin, gentamicin, meropenem, sulfamethoxazole-trimethoprim, and tetracycline, antibiotics commonly used to treat gram-negative infection. Broad patterns of antibiotic resistance have been observed throughout the study, with coliforms from at least one sample exhibiting resistance to each of the tested antibiotics. Resistance to sulfamethoxazole and amoxicillin-clavulanic acid has been the most commonly observed, with coliforms in 73% and 60% of samples which helps to demonstrate resistance to these antibiotics, respectively. This study provides insight into the prevalence of airborne, antibiotic resistant coliforms near concentrated fecal waste streams and this highlights an underappreciated hazard and the potential exposure risk in areas where fecal waste may become aerosolized at any given time.

Qualification of a non-animal vaginal irritation method admitted as nonclinical assessment model (NAM) in the Incubator Phase of the United States Food and Drug Administration (US FDA) Medical Devices Development Tool (MDDT).

The U.S. Food and Drug Administration (FDA) Center for Devices and Radiological Health (CDRH) classifies personal lubricants as Class II medical devices. Because of this status and the nature of body contact common to personal lubricants, CDRH reviewers routinely recommend a standard biocompatibility testing battery that includes: an in vivo rabbit vaginal irritation (RVI) test; an in vivo skin sensitization test, such as the guinea pig maximization test (GPMT); and an in vivo acute systemic toxicity test using mice or rabbits. These tests are conducted using live animals, despite the availability of in vitro and other non-animal test methods that may be suitable replacements. The only test included in the biocompatibility battery currently conducted using in vitro assay(s) is cytotoxicity. FDA's recently launched Predictive Toxicology Roadmap calls for the optimization of non-animal methods for the safety evaluation of drugs, consumer products and medical devices. In line with these goals, a Consortium comprising the Institute for In Vitro Sciences, Inc. (IIVS), industry, the Consumer Healthcare Products Association (CHPA), and the PETA International Science Consortium (PETA-ISC) is qualifying the use of an in vitro testing method as replacement for the RVI test. Participating companies include manufacturers of personal lubricants and those interested in the advancement of non-animal approaches working collaboratively with the FDA CDRH to develop an in vitro testing approach that could be used in place of the RVI in pre-market submissions. Personal lubricants and vaginal moisturizers with diverse chemical and physical properties (e.g., formulation, viscosity, pH, and osmolality) in their final undiluted form will be the focus of the program. In vitro vaginal irritation data generated using commercially available human reconstructed vaginal tissue model(s) will be paired with existing in vivo RVI data and analyzed to develop a Prediction Model for the safety assessment of these products. This research plan has been accepted into the FDA CDRH Medical Device Development Tools (MDDT) program as a potential non-clinical assessment model (NAM). The proposed NAM aligns with the goals of the recently launched FDA Roadmap to integrate predictive toxicology methods into safety and risk assessment with the potential to replace or reduce the use of animal testing.

What could be influencing older Ghanaians outpatient care utilization rate?

OBJECTIVES: Ghana's population is rapidly aging and there may be healthcare access and utilization issues. This study investigates some of the issues that may influence outpatient care utilization rate among older Ghanaians. METHODS: Cross-sectional wave 1 (2007-2010) data from WHO's Study on Global Ageing and Adult Health are used, and a sample of 1408 are analyzed. After multiple imputations of missing values, a negative binomial regression model is used to identify the association between outpatient care utilization rate and lifestyle activities. RESULTS: The rate of outpatient care utilization is negatively associated with the rate of eating vegetables (ß =0.0830, p < .001), fruits (ß =0.0033, p < .05), moderate-exercise (ß =0.4010, p < .001), moderate-work (ß =0.2049, p < .001), walking/biking (ß = 0.0436, p < .001), and positively associated with leisure hours ((ß =0.0194, p < .001). CONCLUSION: To promote better aging situations of older adults in Ghana, poverty and poor education should be addressed as potential barriers to healthcare access. There is a need for policies that encourage healthier lifestyles for older Ghanaian's health. FUNDING: The study was self-funded by the authors.

Development and field testing of low-cost, quantal microbial assays with volunteer reporting as scalable means of drinking water safety estimation.

AIMS: To evaluate a low-cost water quality test for at-scale drinking water safety estimation in rural India. METHODS AND RESULTS: Within a longitudinal study to characterize variability in household drinking water safety in rural Maharashtra, we piloted a low-cost presence-absence (LCPA) microbial test designed to be used by volunteer residents in rural areas. In comparing the LCPA results with standard laboratory methods for enumeration of Escherichia coli, we found that LCPA tests using modified mTec media were highly sensitive in detecting drinking water of moderate risk (88% of tests were positive at E. coli counts of 11-100 CFU per 100 ml) and high risk (96% of tests were positive at E. coli counts of 101 + CFU per 100 ml). The LCPA tests demonstrated low specificity for E. coli specifically, due to concurrent detection of Klebsiella: 38% of LCPA tests were positive even when E. coli was not detected in a 100 ml sample by membrane filtration, suggesting the test would be conservative in risk estimation. We also found that 47% of participants in rural villages in India were willing to conduct tests and return results after a brief training, with 45% of active participants sending their water testing results via short message service. CONCLUSIONS: Given their low cost (~US$0.50 as piloted) and open-source format, such tests may provide a compelling alternative to standard methods for rapid water quality assessments, especially in resource-limited settings. SIGNIFICANCE AND IMPACT OF THE STUDY: The lack of availability of water quality data constrains efforts to monitor, evaluate and improve the safety of water and sanitation infrastructure in underserved settings. Current water testing methods are not scalable because of laboratory and cost constraints. Our findings indicate the LCPA or similar low-cost microbial tests could be useful in rapid water safety estimation, including via crowdsourcing.

A New Standard DNA Damage (SDD) Data Format.

Our understanding of radiation-induced cellular damage has greatly improved over the past few decades. Despite this progress, there are still many obstacles to fully understand how radiation interacts with biologically relevant cellular components, such as DNA, to cause observable end points such as cell killing. Damage in DNA is identified as a major route of cell killing. One hurdle when modeling biological effects is the difficulty in directly comparing results generated by members of different research groups. Multiple Monte Carlo codes have been developed to simulate damage induction at the DNA scale, while at the same time various groups have developed models that describe DNA repair processes with varying levels of detail. These repair models are intrinsically linked to the damage model employed in their development, making it difficult to disentangle systematic effects in either part of the modeling chain. These modeling chains typically consist of track-structure Monte Carlo simulations of the physical interactions creating direct damages to DNA, followed by simulations of the production and initial reactions of chemical species causing so-called "indirect" damages. After the induction of DNA damage, DNA repair models combine the simulated damage patterns with biological models to determine the biological consequences of the damage. To date, the effect of the environment, such as molecular oxygen (normoxic vs. hypoxic), has been poorly considered. We propose a new standard DNA damage (SDD) data format to unify the interface between the simulation of damage induction in DNA and the biological modeling of DNA repair processes, and introduce the effect of the environment (molecular oxygen or other compounds) as a flexible parameter. Such a standard greatly facilitates inter-model comparisons, providing an ideal environment to tease out model assumptions and identify persistent, underlying mechanisms. Through inter-model comparisons, this unified standard has the potential to greatly advance our understanding of the underlying mechanisms of radiation-induced DNA damage and the resulting observable biological effects when radiation parameters and/or environmental conditions change.

Mistrust in Physicians does not Explain Black-white Disparities in Primary Care and Emergency Department Utilization: The Importance of Socialization During the Jim Crow era.

PURPOSE: Compared to whites, blacks under-utilize primary care (PC) and over-utilize emergency department (ED) services. The aim of this study is to determine whether mistrust in physicians explains these black-white disparities, and the potentially modifying influence of socialization under racially segregated health care (i.e., raised in the U.S. South during the Jim Crow era). METHODS: Data come from the nationally representative Americans' Changing Lives Study (n=1,578). Poisson regression techniques are utilized to respectively model PC and ED utilization among a sample of non-Hispanic black and white adults aged forty-years and older. CONCLUSION: Mistrust in physicians does not explain black-white disparities in PC or ED utilization. Blacks under-utilize PC services compared to whites, net of predisposing, need, and enabling factors, but this is especially apparent among blacks who were raised in the U.S. south during the Jim Crow era and continue to reside in the South. Blacks greatly over-utilize ED services compared to whites, but this is greatest among those raised in the south during the Jim Crow era and/or those currently residing in the South.

Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls.

BACKGROUND: Cultural consensus modelling (CCM) is an approach whereby individuals define the boundaries regarding a set of knowledge or behaviours shared by a group within a culture using an ethnographic approach. OBJECTIVES: To provide an overview of CCM methods and the application of CCM to examine South African adolescent girls' contraceptive and HIV prevention practices. METHODS: In phase 1 of a CCM approach, individuals respond to questions about their culture rather than their individual behaviours, allowing individuals to draw upon a shared cultural knowledge. Utilising these identified group beliefs, phase 2 asks individuals to rate the extent to which factors identified in phase 1 are valued. Phase 3 utilises qualitative interviews with key informants from phase 2 to gather in-depth information regarding the identified determinants of the health behaviour. Lastly, phase 4 of this approach conducts a quantitative survey to determine the extent to which cultural consensus model types are associated with differences in actual behaviours. RESULTS: CCM data analytic approaches are described. Frequencies and descriptive statistics for the free listing are conducted. For phase 2, cultural consensus analysis is conducted to examine whether one or several consensus models exist and competence scores are calculated. Standard qualitative analysis approaches are utilised for phase 3. Phase 4 employs regression to examine the association between cultural models and an outcome of interest. CONCLUSION: CCM provides a novel, culturally sensitive understanding of reproductive health practices among South African adolescent girls; CCM also has broad applicability to other adolescent health research domains.

Label-free optical imaging technologies for rapid translation and use during intraoperative surgical and tumor margin assessment.

The biannual International Conference on Biophotonics was recently held on April 30 to May 1, 2017, in Fremantle, Western Australia. This continuing conference series brought together key opinion leaders in biophotonics to present their latest results and, importantly, to participate in discussions on the future of the field and what opportunities exist when we collectively work together for using biophotonics for biological discovery and medical applications. One session in this conference, entitled "Tumor Margin Identification: Critiquing Technologies," challenged invited speakers and attendees to review and critique representative label-free optical imaging technologies and their application for intraoperative assessment and guidance in surgical oncology. We are pleased to share a summary in this outlook paper, with the intent to motivate more research inquiry and investigations, to challenge these and other optical imaging modalities to evaluate and improve performance, to spur translation and adoption, and ultimately, to improve the care and outcomes of patients.